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美利坚合众国

  • 总统:Donald J. Trump
  • 副总统:Mike Pence
  • 首都:Washington, D.C.
  • 语言:English 79.2%, Spanish 12.9%, other Indo-European 3.8%, Asian and Pacific island 3.3%, other 0.9% (2011 est.) note: data represents the language spoken at home; the US has no official national language, but English has acquired official status in 31 of the 50 states; Hawaiian is an official language in the state of Hawaii
  • 政府
  • 国家统计局
  • 人口,人口:327,167,434 (2018)
  • 面积,平方公里:9,147,420
  • 人均国内生产总值,美元:62,641 (2018)
  • GDP,目前美元十亿美元:20,494.1 (2018)
  • 基尼系数:No data
  • 经商容易度排名:8

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所有数据集:  1 2 3 A B C D E F G H I J K L M N O P Q R S T U V W Y Z В Д И К Н П Р С У Ч
  • 1
    • 五月 2019
      来源: King Abdullah Petroleum Studies and Research Center
      上传者: Knoema
      访问日期: 17 六月, 2019
      选择数据集
      Data Cited at:  KAPSARC
    • 十月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十一月, 2018
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      This indicator gives the percentage of all 18-year-olds who are still in any kind of school (all ISCED levels). It gives an indication of the number of young people who have not abandoned their efforts to improve their skills through initial education and it includes both those who had a regular education career without any delays as well as those who are continuing even if they had to repeat some steps in the past.
  • 2
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
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      Databasepublished June 2010These tables are a complement to the report Agricultural Policies in OECD Countries: At a Glance 2010. They comprise the summary of agricultural support estimates for OECD countries.More detailed data by country and documentation can be found in the full dataset (Excel Format) available at :
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
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      Databasepublished June 2010These tables are a complement to the report Agricultural Policies in OECD Countries: At a Glance 2010. They comprise the summary of agricultural support estimates for OECD countries.More detailed data by country and documentation can be found in the full dataset (Excel Format) available at :
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
      Databasepublished June 2010These tables are a complement to the report Agricultural Policies in OECD Countries: At a Glance 2010. They comprise the summary of agricultural support estimates for OECD countries.More detailed data by country and documentation can be found in the full dataset (Excel Format) available at :
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
      Databasepublished June 2010These tables are a complement to the report Agricultural Policies in OECD Countries: At a Glance 2010. They comprise the summary of agricultural support estimates for OECD countries.More detailed data by country and documentation can be found in the full dataset (Excel Format) available at :
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 八月, 2019
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      This dataset contains the main results of the 2014 Eurostat-OECD PPP comparison for the 47 countries that participated in the 2014 round of the Eurostat-OECD Purchasing Power Parity (PPP) Programme. The dataset is organised in 23 tables which show results both in US dollars and OECD as reference (Table 1.1 to Table 1.12) and in euros and European Union as reference (Table 2.1 to Table 2.11) calculated with the EKS method. The tables contain the following information: Table 1.1 to 1.12 The dollar serves as numeraire and the OECD as reference country (except for Table 1.12 where the United States are the reference country). Table 1.1 and Table 1.2 present the data on which the following ten tables are based. • Table 1.1 gives nominal expenditure in national currency of the participating countries. • Table 1.2 presents PPPs (OECD=1.00) that have been calculated for the participating countries using the price and expenditure data collected during the 2014 round. The PPPs were obtained by the EKS method of calculation and aggregation. • Table 1.3 shows nominal expenditure of Table 1.1 converted to US dollars. Exchange rates do not reflect the relative purchasing power of different currencies and the converted expenditure is still expressed at national prices. As such, it remains nominal measures, the spatial equivalent of a time series of GDP for a single country at current prices. Hence, they are called “nominal expenditure”. The nominal expenditure in the table reflects both differences in the quantities of goods and services purchased in the countries and differences in the price levels of the countries. • Table 1.4 gives nominal expenditure of Table 1.3 expressed on a per capita basis using the midyear population data. • Table 1.5 and Table 1.6 present the nominal expenditure from Table 1.3 and the nominal expenditure per head from Table 1.4 as indices with OECD=100. • Table 1.7 shows real expenditure converted to US dollar using the PPPs from Table 1.2. PPPs equalise the purchasing power of different currencies during the process of conversion and the converted expenditures are expressed at international prices (that is at the same price level). As such, they are real measures, the spatial equivalent of a time series of GDP for a single country at constant prices. Hence, they are called “real expenditures”. The real final expenditures in the table reflect only differences in the volumes of goods and services purchased in the countries. • Table 1.8 gives the real expenditure of Table 1.7 expressed on a per capita basis using the midyear population data. Again, the real expenditures per head in this table are not additive nor are they subject to the Gerschenkron effect. • Table 1.9 and Table 1.10 present the real expenditure on GDP from Table 1.7 and the real final expenditure per head on GDP from Table 1.8 as indices with OECD=100. • Table 1.11 gives the price levels which are computed as ratios of the PPPs in Table 1.2 to the exchange rates and are expressed as indices with OECD=100. For a given aggregate, they indicate the number of units of the common currency needed to buy the same volume of the  aggregate in each country. Price levels that exceed 100 indicate that the level of prices in that country and for that analytical category is higher than the average price level for the OECD. • Table 1.12 present PPPs as in Table 1.2 (see description above) but with the United States as reference country (US=1.00). Table 2.1 to 2.11 The euro serves as numeraire and the European Union as reference country. Table 2.1 and Table 2.2 present the data on which the following nine tables are based. Table 2.1 to 2.11 contain the same information as Table 1.1 to 1.11 with a different basis. For explanation on the contents, please see description above.
    • 二月 2015
      来源: American Institute of Stress
      上传者: Knoema
      访问日期: 28 四月, 2015
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    • 六月 2016
      来源: Deloitte
      上传者: Knoema
      访问日期: 02 六月, 2016
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      With the release of the 2016 Global Manufacturing Competitiveness Index (GMCI), Deloitte Touche Tohmatsu Limited (Deloitte Global) and the Council on Competitiveness (the Council) in the US build upon the GMCI research, with prior studies published in 2010 and 2013. The results of the 2016 study clearly show the ongoing influence manufacturing has on driving global economies. From its influence on infrastructure development, job creation, and contribution to gross domestic product (GDP) on both an overall and per capita basis, a strong manufacturing sector creates a clear path toward economic prosperity.
    • 六月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 01 八月, 2019
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      This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2017, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 11 emerging economies: Brazil, China, Colombia, Costa Rica, Indonesia, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies. 
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
      Databasepublished : June 2018This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2018, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 10 emerging economies: Brazil, China, Colombia, Costa Rica, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam.The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies. More detailed data by country and documentation can be found in the full dataset (Excel Format) available at :
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      Databasepublished : June 2018This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2018, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 10 emerging economies: Brazil, China, Colombia, Costa Rica, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam.The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies. More detailed data by country and documentation can be found in the full dataset (Excel Format) available at :
  • 3
    • 十月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 10 十月, 2019
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      The 3-months interest rate is a representative short-term interest rate series for the domestic money market. From January 1999, the euro area rate is the 3-month "EURo InterBank Offered Rate" (EURIBOR) EURIBOR is the benchmark rate of the large euro money market that has emerged since 1999. It is the rate at which euro InterBank term deposits are offered by one prime bank to another prime bank. The contributors to EURIBOR are the banks with the highest volume of business in the euro area money markets. The panel of banks consists of banks from EU countries participating in the euro from the outset, banks from EU countries not participating in the euro from the outset, and large international banks from non-EU countries but with important euro area operations. Monthly data are calculated as averages of daily values. Data are presented in raw form. Source: European Central Bank (ECB)
    • 十月 2016
      来源: Philipps-University of Marburg, Empirical Institutional Economics
      上传者: Knoema
      访问日期: 07 十二月, 2016
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      The 3P Anti-trafficking Policy Index evaluates governmental anti-trafficking efforts in the three main policy dimensions (3Ps), based on the requirements prescribed by the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children (2000).   The three main policy dimensions (3Ps) are:Prosecution of perpetrators of human traffickingPrevention of human traffickingProtection of the victims of human trafficking Each of the 3P areas is evaluated on a 5-point scale and each index is aggregated to the overall 3P Anti-trafficking Index as the  sum (score 3-15).Prosecution Index Score: 1 (no compliance) - 5 (full compliance)Prevention Index Score: 1 (no compliance) - 5 (full compliance)Protection Index Score: 1 (no compliance) - 5 (full compliance)3P Anti-trafficking Policy Index Score: 3 (no compliance for any of the three areas) - 15 (full compliance for all of the three areas) The 3P Anti-trafficking Policy Index is available for each country and each year and currently includes up to 189 countries for the preiod from 2000 to 2015.
  • A
    • 四月 2017
      来源: North American Electric Reliability Corporation
      上传者: Olga Bikeeva
      访问日期: 04 七月, 2017
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      This Wide-Area Perspective on the August 21, 2017 Total Solar Eclipse document was created in order to evaluate potential reliability consequences of the total solar eclipse on the BPS. This assessment focuses specifically on impacts of system loading and potential reliability implications when an area experiences a large reduction of distributed energy resource (DER) capacity due to a total solar eclipse. Ramping is a specific concern for areas with large amounts of variable generation in their resource mix. The areas that have ramping issues will need further evaluation by the Regions and include areas that are not in the direct path of the eclipse. An example of such an area is California, where the transmission (utility) installed nameplate capacity for solar generation is 11,444 MW. Some areas in Northern California are projected to experience up to 95 percent of the obscuration of the Sun from the August 21, 2017 eclipse.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 04 十月, 2019
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      Chapter C includes indicators that are a mixture of outcome indicators, policy levers and context indicators. Internationalisation of education and progression rates are, for instance, outcome measures to the extent that they indicate the results of policies and practices at the classroom, school and system levels. But they can also provide contexts for establishing policy by identifying areas where policy intervention is necessary, for example, to address issues of inequity.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 30 四月, 2019
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      Country: Canada ''Passive level crossing'' refers to passive warnings, private crossings and farm crossings. ''Automatic active level crossings with user-side warning'' refers to flashing lights and bells. ''Automatic active level crossings with user-side protection'' refers to gates and other automated warnings.
    • 七月 2016
      来源: Knoema
      上传者: Knoema
      选择数据集
      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
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      This indicator measures the income of jobless families relying on minimum-income safety-net benefits as a percentage of the median disposable income in the population. This can be compared with a poverty line defined as a fixed percentage of median income. For instance, if the poverty threshold is 50% of median income, a value of 30% means that benefit entitlements alleviate poverty risks of 60%
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 11 六月, 2019
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      Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition: Adolescent fertility covers live births to women aged 15-19. A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. The adolescent fertility rate is the number of live births to women aged 15-19 per 1000 women aged 15-19. General note: Data on live births come from registers, unless otherwise specified. The adolescent fertility rate is computed by UNECE secretariat. .. - data not available Country: Albania Data refer to age group 0-19. Country: Armenia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Azerbaijan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Belarus Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Bosnia and Herzegovina 1995 : data refer to 1996. Country: Canada Data include Canadian residents temporarily in the United States, but exclude United States residents temporarily in Canada. Country: Cyprus Data cover only the area controlled by the Republic of Cyprus. Country: Estonia Data refer to age group 0-19. Country: Finland Data include nationals temporarily outside the country. Country: Georgia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). 1980-2003 : data refer to age group 15-20. Country: Germany 1980-1990 : data cover only West Germany (Federal Republic of Germany). From 1995 : data refer to reunified Germany, i.e. include the ex-German Democratic Republic (East Germany). Country: Ireland Data are tabulated by date of registration (rather than occurrence) and refer to births registered within one year of occurrence. 2005-2006 : provisional data. Country: Israel Data cover East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. 1980 : data refer to age group 0-19. Country: Kazakhstan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Kyrgyzstan 1980-2003 : data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Latvia Data refer to age group 0-19. Country: Malta Data refer to age group 0-19. Country: Netherlands Data refer to age group 0-19. Country: Norway Age classification is based on year of birth of mother rather than the exact age of mother at birth of child. Country: Poland 1980 : data refer to age group 0-19. Country: Portugal Data refer to resident mothers. Country: Russian Federation Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Serbia Data do not cover Kosovo and Metohija. Data are tabulated by date of registration (rather than occurrence). Country: Turkey 1980-2000: data source is population censuses. From 2001: data are from administrative source. Country: Turkmenistan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data refer to age group 0-19. Country: Ukraine Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. 2000 : data refer to 1998. 1990 : data refer to age group 0-19. Country: United Kingdom Data are tabulated by date of occurrence for England and Wales and by date of registration for Northern Ireland and Scotland. Country: United States 2000 : data refer to 1999. Country: Uzbekistan Data refer to age group 18-19.
    • 一月 2018
      来源: HealthIT.gov
      上传者: Knoema
      访问日期: 30 一月, 2018
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    • 七月 2018
      来源: Aerospace Industries Association, U.S.
      上传者: Knoema
      访问日期: 08 一月, 2019
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      Data cited at:The Aerospace Industries Association (AIA)  
    • 四月 2019
      来源: Federal Aviation Administration
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      FAA Aerospace Forecasts: Economic Tables
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
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    • 二月 2018
      来源: Ministry of Tourism, Government of India
      上传者: Knoema
      访问日期: 10 四月, 2018
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      This dataset provides data for foreign tourist arrivals distributed by age  group.
    • 十一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 02 十二月, 2017
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      Data in this domain constitute only a small part of the entire National Accounts data range available from Eurostat. Annual and quarterly national accounts are compiled in accordance with the European System of Accounts - ESA 2010as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013. The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. The annual data of this domain consists of the following collections: 1. Main GDP aggregates: main components from the output, expenditure and income side. nama_10_gdp: GDP and main components (output, expenditure and income   The quarterly data of this domain consists of the following collections 1. Main GDP aggregates, main components from the output, expenditure and income side, expenditure breakdowns by industry and assets. namq_10_ma: Main GDP aggregatesnamq_10_gdp: GDP and main components (output, expenditure and incomenamq_10_fcs: Final consumption aggregates by durabilitynamq_10_exi: Exports and imports by Member States of the EU/third countries 2. Breakdowns of GDP aggregates and employment data by main industries and asset classes. namq_10_bbr: Basic breakdowns main GDP aggregates and employment (by industry and assets)namq_10_a10: Gross value added and income by A*10 industrynamq_10_an6: Gross fixed capital formation by AN_F6 asset typenamq_10_a10_e: Employment by A*10 industry breakdowns Geographical entities covered are the European Union, the euro area, EU Member States, Candidate Countries, EFTA countries, US, Japan and possibly other countries on an ad-hoc basis. Data sources: National Statistical Institutes
    • 七月 2015
      来源: Organisation for Economic Co-operation and Development
      上传者: Denis Chernyshev
      访问日期: 03 十二月, 2015
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    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 四月 2019
      来源: Agricultural Market Information System
      上传者: Knoema
      访问日期: 07 五月, 2019
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      Data Source - CBS Notes: Financial Year 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively
    • 四月 2019
      来源: Agricultural Market Information System
      上传者: Knoema
      访问日期: 02 五月, 2019
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      Notes: Financial Years 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively. Data Source - IGS
    • 四月 2019
      来源: Agricultural Market Information System
      上传者: Knoema
      访问日期: 03 五月, 2019
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      Data Source - PSD Notes: Financial Year 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively.
    • 五月 2015
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 15 五月, 2015
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    • 五月 2013
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
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    • 十一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
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      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015
    • 一月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
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      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • 四月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 八月, 2019
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      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • 十二月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 八月, 2019
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      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • 五月 2013
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
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    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 05 七月, 2019
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      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilisers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • 五月 2013
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 22 三月, 2019
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    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 十月, 2019
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      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2019
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    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 09 四月, 2019
      选择数据集
      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2019
      选择数据集
      Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from bilateral and multilateral donors which focus on flows from DAC member countries and the EU Institutions.
    • 六月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 04 六月, 2019
      选择数据集
      This dataset is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items have not been included in the data reported in this data set.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
    • 十二月 2018
      来源: U.S. Environmental Protection Agency
      上传者: Knoema
      访问日期: 17 十二月, 2018
      选择数据集
      AirData reports are produced from a direct query of the AQS Data Mart. The data represent the best and most recent information available to EPA from state agencies. However, some values may be absent due to incomplete reporting, and some values may change due to quality assurance activities. The AQS database is updated by state, local, and tribal organizations who own and submit the data. Readers are cautioned not to rank order geographic areas based on AirData reports. Air pollution levels measured at a particular monitoring site are not necessarily representative of the air quality for an entire county or urban area. This report is based on monitor-level summary statistics. Air quality standards for some pollutants (PM2.5 and Pb) allow for combining data from multiple monitors into a site-level summary statistic that can be compared to the standard. In those cases, the site-level statistics may differ from the monitor-level statistics upon which this report is based.
    • 十二月 2017
      来源: The General Aviation Manufacturers Association
      上传者: Knoema
      访问日期: 28 五月, 2018
      选择数据集
      General aviation operations are defined by the FAA based Source: FAA Operations Network (OPSNET) on the traffic operations counted in the OPSNET. Air Traffic Control data shows federal, non-federal, and military through 2005, while 2006 through 2011 are FAA and contract.
    • 四月 2017
      来源: Akamai
      上传者: Knoema
      访问日期: 07 六月, 2017
      选择数据集
    • 十一月 2018
      来源: Alaska Department of Fish and Game
      上传者: Knoema
      访问日期: 21 十一月, 2018
      选择数据集
      Alaska Commercial Salmon Harvests and Ex-vessel Values
    • 十二月 2018
      来源: Alaska Department of Health and Social Services
      上传者: Knoema
      访问日期: 16 一月, 2019
      选择数据集
      Alaska Tobacco Facts is designed to be a brief, annual update of key indicators from state data sources. This report can be used to educate Alaskans about the toll that tobacco continues to take on the health and well-being of our citizens. Trends in tobacco use are measured from the baseline year of 1996, prior to two early events in tobacco prevention and control in Alaska: the tobacco tax increase in 1997 and Alaska’s decision to join in the national multi-state Tobacco Master Settlement Agreement in 1998. In this report, we have also assessed more recent change, from 2007 to the present. Differences are noted where there is statistical significance
    • 一月 2012
      来源: CO Medical Price Compare
      上传者: Knoema
      访问日期: 13 八月, 2014
      选择数据集
      Current Payers: Data Vintage: COAPCDQ42013 This Data Vintage stamp reflects indicates which payer data is included in this report, along with any special conditions and data submission waivers associated with the payer data. Current payers include the 12 largest commercial payers in Colorado (large-group and individual fully insured lines of business) and Medicaid. Small group, self-insured commercial payers and Medicare is not included. Please visit the Glossary in the Resources tab at http://www.cohealthdata.org for the full Data Vintage information, and visit the Current Data/Future Milestones link on the Resources tab to see the timeline for adding additional payers to the database. Data Completeness Score The data completeness score is an indicator of how comprehensive the coverage of lives in the database reflects the population. It is represented as a Quartile score of C1-C4 with C1 being the lowest score. The lower the score, the greater the degree of caution should be used in interpreting the results. - C1 indicates that 25% of the population or less are included in the data. - C2 represents that between 25% and 50% of the population are included in the data. - C3 represents that between 50% and 75% of the population are included in the data. - C4, the upper range, represents at least 75% of the population are included in the data. Completeness scores are approximate estimations based on data sources internal and external to the APCD. They are designed to provide an appropriate level of caution to users of the APCD. It’s important to keep in mind that caution needs to be exercised when reviewing data from C1 and C2 and that data becomes more reliable as you move from C3 to C4. 3M Technology "3M™ Health Information Systems provides grouping technology used in the creation of the data in this report. 3M™ APR-DRG Software (All Patient Refined Diagnoses Related Groups) is a classification system to categorize hospital stays based on diagnoses and procedures performed. 3M™ Clinical Risk Grouping Software (CRGs) categorize a population based on health status and use of health care services from claims submitted over a calendar year. 3M™ EAPG Software (Enhanced Ambulatory Patient Groups) is a patient classification system designed to explain the amount and type of resources used in an ambulatory visit. 3M™ Potentially Preventable Readmissions Software (PPR) identifies those admissions in an acute care setting that have subsequent readmissions, within 30 days that are both clinically related and are deemed potentially preventable. Please reference the following link for more information on 3M Health Information Systems grouping technology: http://solutions.3m.com/wps/portal/3M/en_US/Health-Information-Systems/HIS/Products-and-Services/Classification-and-Grouping/" Illness Burden The Illness Burden for a population is a number used to measure the relative health of that group based upon the number and types of healthcare services used. A higher number (above the 1.0 average) indicates that the population uses more and/or costlier services relative to the rest of the population in the database and is often a result of a higher number of people with chronic diseases like diabetes or asthma. Likewise, smaller numbers (below the 1.0 average), indicate a relatively healthier population using less health care services. Compared to Expected Compared to Expected (C2E) values indicate how different the actual observed data in an area is from an expected value (an average based upon the type of people that live in that area). The C2E is always represented as a percentage. Numbers in red represent those “compared to expected” values that are in excess of 25%, indicating a higher than average expected cost or use of services. Likewise, numbers in green represent those “compared to expected” values that are below -25% indicating a lower than average expected cost or use of services. BETOS Categories BETOS is an acronym for Berenson-Eggers Type of Service. BETOS Categories are groupings of professional services based on the HCPCS (Health Care Procedure Coding System, including CPT codes) used by the provider to identify the services rendered at the time of service. Please see the following link for additional information: http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/MedicareFeeforSvcPartsAB/Downloads/BETOSDescCodes.pdf CPT Codes CPT is an acronym for Current Procedural Terminology and is a registered trademark of the American Medical Association. For more information on CPT codes, please refer to the following location: http://www.ama-assn.org/ama/pub/physician-resources/solutions-managing-your-practice/coding-billing-insurance/cpt/about-cpt.page Terms & Conditions of Use This report and any data made available on or obtained through the APCD website is subject to our current Terms of Use and Privacy Policy available at: http://www.cohealthdata.org. Data Note Data (particularly rates and percentages) from Colorado counties with fewer than 5,000 people are more volatile than data from counties with larger populations. Readers should exercise caution when interpreting results from counties with small populations. This includes: Baca, Cheyenne, Costilla, Custer, Dolores, Gilpin, Hinsdale, Jackson, Kiowa, Lincoln, Mineral, Ouray, Phillips, San Juan, Sedgwick, Saguache, and Washington counties.
    • 六月 2013
      来源: World Bank
      上传者: Knoema
      访问日期: 21 十一月, 2014
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: All The Ginis Dataset Publication: https://datacatalog.worldbank.org/dataset/all-ginis-dataset License: http://creativecommons.org/licenses/by/4.0/   This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • 十月 2019
      来源: National Institute of Statistics, Italy
      上传者: Knoema
      访问日期: 04 十月, 2019
      选择数据集
      Data source(s) used: Crimes reported to the Judicial authorities by the State Police, Carabinieri and Guardia di Finanza: Are processed the data on felonies and people who were reported by police to the court Other data characteristics: Data referring to social demographic characteristics of alleged offenders could not coincide with data on reports because of the different timing of extraction from police forces database.The sum of the crimes by province could not coincide with the total of the region, and that of the regions with the total Italy, because of the missed precise statement, for some crimes, of the place where they have been committed (or of the region of the committed crime but not of the province).
    • 十一月 2018
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 30 一月, 2019
      选择数据集
      Hay fever, respiratory allergies, food allergies, and skin allergies in the past 12 months for children under age 18 years, by selected characteristics: United States
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      AITRAW = All in average income tax rates at average wage   OECD Taxing Wages. Taxing Wages provides unique information on income tax paid by workers and social security contributions levied on employees and their employers in OECD countries. In addition, this annual publication specifies family benefits paid as cash transfers. Amounts of taxes and benefits are detailed program by program, for eight household types which differ by income level and household composition. Results reported include the marginal and effective tax burden for one- and two-earner families, and total labour costs of employers.
    • 八月 2015
      来源: U.S. National Center for Education Statistics
      上传者: Shakthi Krishnan
      访问日期: 21 九月, 2015
      选择数据集
      The National Center for Education Statistics (NCES) is now conducting the Academic Libraries Survey as part of the Integrated Postsecondary Education Data System (IPEDS). The Academic Libraries component for IPEDS replaced the previous Academic Libraries Survey, which was collected from degree-granting postsecondary institutions every other year in even-numbered years. The new Academic Libraries component is mandatory and will be collected annually in the spring starting with the 2014-15 data collection cycle.
    • 八月 2015
      来源: U.S. National Center for Education Statistics
      上传者: Shakthi Krishnan
      访问日期: 21 九月, 2015
      选择数据集
      The National Center for Education Statistics (NCES) is now conducting the Academic Libraries Survey as part of the Integrated Postsecondary Education Data System (IPEDS). The Academic Libraries component for IPEDS replaced the previous Academic Libraries Survey, which was collected from degree-granting postsecondary institutions every other year in even-numbered years. The new Academic Libraries component is mandatory and will be collected annually in the spring starting with the 2014-15 data collection cycle.
    • 七月 2019
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 24 九月, 2019
      选择数据集
      National Hospital Ambulatory Medical Care Survey: 2016 Emergency Department Summary Tables
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 04 一月, 2019
      选择数据集
      The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Social Characteristics – ancestry, disability, educational attainment, fertility, grandparents, household, language spoken, marital status, place of birth, region of birth, relationships, residence, school enrollment, US citizenship status, veteran status, and year of entry
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 10 一月, 2019
      选择数据集
      The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Population Demographics by gender, race, age, households, and relationships.
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 02 一月, 2019
      选择数据集
      The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Economic Characteristics – class of worker, commute to work, employment status, health insurance, income and benefits, industry,occupation, and poverty.
    • 八月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 24 九月, 2018
      选择数据集
      The American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 02 一月, 2019
      选择数据集
      The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Housing Characteristics – house heating fuel, housing occupancy, housing value, mortgage status, occupants per room, rent, rooms, selected characteristics, selected monthly owner cost, units in structure, vehicles available, year of move-in, and year structure built.
    • 一月 2016
      来源: Federal Communications Commission
      上传者: Knoema
      访问日期: 27 十二月, 2017
      选择数据集
      Appendix E – Americans Without Access to Fixed Advanced Telecommunications Capability by County
    • 七月 2019
      来源: CNBC
      上传者: Knoema
      访问日期: 12 七月, 2019
      选择数据集
      Data cited at: CNBC Around 50 states have been assigned score on more than 60 measures of competitiveness which are  developed with input from a broad and diverse array of business and policy experts, official government sources, the CNBC Global CFO Council and the states themselves. States receive points based on their rankings in each metric. Then we separate those metrics into 10 broad categories, weighted based on how frequently each is used as a selling point in state economic development marketing materials. That way, our study ranks the states based on the criteria they use to sell themselves. This year some states were tied http://www.cnbc.com/top-states-past-year-rankings/  
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 十月, 2019
      选择数据集
      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors. This dataset covers the 34 OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly statistics for each country. House prices differ widely across OECD countries, both with respect to recent changes and to valuation levels. The OECD has identified one main nominal index for each country that covers the prices for the sale of newly-built and existing dwellings. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” refer to the same price indices for all countries apart from Brazil, Canada, China, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap. This research dataset provides extended time series coverage for many countries. The objective is to provide information on the long term trend of house prices and develop indicators which can be used to help track and analyse macroeconomic developments and risks. The extended data supplement the OECD RPPI data with historical data from a variety of sources, including other international organisations, central banks and national statistical offices. The methodological basis on the historical data and the types of geographical areas and dwellings they cover can differ from those used in the OECD RPPI data. The database contains a number of additional series. Real house prices are given by the ratio of seasonally adjusted nominal house prices to the seasonally adjusted consumers’ expenditure deflator in each country, from the OECD national accounts database. This provides information on how nominal house prices have changed over time relative to prices in the general economy. The rental prices come from the OECD Main Economic Indicators database and refer to Consumer Price Indices (CPIs) for Actual rentals for housing (COICOP 04.1). If this indicator is missing for a country, another indicator is chosen. The chosen indicator are usually those corresponding to the CPI aggregate for Housing including Actual rentals for housing (COICOP 04.1), imputed rentals for housing (COICOP 04.2) and Maintenance and repair of the dwelling (COICOP 04.3). The disposable income indicators come from the OECD national accounts database. Net household disposable income is used. The population data come from the OECD national accounts database. The price-to-rent ratio is given by the ratio of nominal house prices to rental prices. This is a measure of the profitability of owning a house. The price-to-income ratio is given by the ratio of nominal house prices to nominal household disposable income per capita. This is a measure of the affordability of purchasing a house. An indication that house prices may be overvalued is provided if either of these ratios is above their long-term averages. The standardised price-rent and price-income ratios show the current price-rent and price-income ratios relative to their respective long-term averages. The long-term average, which is used as a reference value, is calculated over the whole period available when the indicator begins after 1980 or 1980 if the indicator is available over a longer time period. The standardised ratio is indexed to a reference value equal to 100 over the full sample period. Values over 100 indicate that the present price-rent ratio, or price-income ratio, is above its long-run norms. This provides an indication of possible housing market pressures.
    • 六月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 18 六月, 2019
      选择数据集
      The OECD's ANalytical Business Enterprise Research and Development (ANBERD) database presents annual data on Research and Development (R&D) expenditures by industry and was developed to provide analysts with comprehensive data on business R&D expenditures. The ANBERD database incorporates a number of estimations that build upon and extend national submissions of business enterprise R&D data by industry (main activity/industry orientation). The current version of the ANBERD database presents OECD countries' and selected non-member economies' business expenditure on R&D since 1987, broken down across 100 manufacturing and service industry groups. The reported data follow the International Standard Industrial Classification, Revision 4 (ISIC Rev. 4) and are expressed in national currencies as well as in US dollars at Purchasing Power Parity (PPP), both at current and constant prices.   Main activity and industry orientation: The 2015 Frascati Manual practice is to report BERD on an enterprise basis. The main economic activity of an enterprise is usually defined as that which accounts for most of its economic outputs; this may be identified directly from sales or indirectly proxied (such as by numbers of personnel devoted to different activities). This determines the industry in which the enterprise, and any BERD it carries out, is classified. As such, all BERD of a diversified enterprise (i.e. one with multiple lines of business) is allocated to the same industry, that of its main activity. This enables, as far as possible, the alignment and compatability of BERD data with other economic statistics (e.g. value added broken down by industry). In addition, the Frascati Manual also recommends reporting BERD by industry orientation, whereby the statistical unit’s R&D is distributed across the various lines of business to which it relates. In a few countries, hybrid approaches are followed and reported as main activity data. As an example, some countries primarily follow the main activity approach but redistribute the R&D of large diversified firms across the economic activities to which it relates. This can affect interpretation of the data and resulting statistics. There are also important differences between countries in the treatment of R&D undertaken by firms in the service sector but closely associated (though not necessarily contractually) with manufacturing firms. Industrial research institutes, largely funded by the manufacturing industries they serve, are the most frequent examples. With the implementation of the 2015 Frascati Manual, such hybrid data will be phased out in favour of a strict main activity approach. Countries still reporting hybrid data are flagged in the ANBERD country notes.
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 10 六月, 2019
      选择数据集
      Annual Estimates of the Resident Population: 2018 Estimates The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. All geographic boundaries for the 2018 population estimates series except statistical area delineations are as of January 1, 2018. 
    • 十月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 10 十月, 2019
      选择数据集
      This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection: the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered: Pupils and students – Enrolments and EntrantsLearning mobilityEducation personnelEducation financeGraduatesLanguage learningData and indicators disseminated include e.g. participation rates at different levels of education,  shares of pupils and students by programme orientation (general/academic and vocational/professional) and in combined school and work-based programmes, enrolments in public and private institutions, tertiary education graduates, degree mobile students enrolled and graduates, pupil-teacher ratios, foreign language learning, expenditure on education per student and relative GDP etc.
    • 十月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十一月, 2018
      选择数据集
      The annual expenditure on public and private educational institutions per pupil/student compared to GDP per capita relates the resources (e.g. expenditure for personnel, other current and capital expenditure) being devoted to education in public and private educational institutions to the overall economic welfare of a country. It is based on full-time equivalent enrolment. The use of GDP per capita allows the comparison of levels of economic activity of different sized economies (per capita) irrespective of their price levels (in PPS).
    • 十月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十一月, 2018
      选择数据集
      Expenditure per pupil/student in public and private institutions measures how much central, regional and local levels of government, private households, religious institutions and firms spent per pupil/student. It includes expenditure for personnel, other current and capital expenditure.
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2019
      选择数据集
      The dataset includes a detailed breakdown of Investment funds, Insurance companies and Pension funds, and Other forms of institutional savings, as institutional sectors. This finer breakdown by type of investors has been established with reference to the System of National Accounts (SNA), when possible. Within Investment funds, one distinguishes Open-end companies, further broken down into Money market funds and Other mutual funds, and Closed-end companies, of which Real estate funds. Within Insurance companies and pension funds one distinguishes Insurance companies, further broken down into Life insurance companies and Non-life insurance companies, and Autonomous pension funds. Financial assets included correspond to the assets requested in the previous database on Institutional Investors, i.e. Currency and deposits, Securities other than shares, Loans, Shares and other equities and Other financial assets. Moreover, Total non-financial assets are also included. While the sub-classification of the above financial assets corresponds to SNA93, a further breakdown between assets issued by residents and assets issued by non-residents is reported.
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 29 七月, 2019
      选择数据集
      The “ALFS Summary tables” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics and broad population series for 34 OECD member countries plus Brazil, Columbia and Russian Federation and 4 geographical areas (Major Seven, Euro area, European Union and OECD-Total). Data are presented in thousands of persons, in percentage or as indices with base year 2010=100. This dataset contains estimates from the OECD Secretariat for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time. Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries’ data. Euro area and European Union data were extracted from Eurostat (LFS Series, Detailed annual survey results in New Cronos). Euro area refer to Euro area with 17 countries (geo = ea17). European Union refers to European Union with 27 countries (geo = eu27).
    • 五月 2019
      来源: European Commission
      上传者: Knoema
      访问日期: 11 五月, 2019
      选择数据集
      AMECO is the annual macro-economic database of the European Commission's Directorate General for Economic and Financial Affairs. The database is indispensable for the analyses and reports of the Directorate General and contains data for EU-28, the euro area, EU Member States, candidate countries and other OECD countries. The database contains data for EU-28, the euro area, EU Member States, candidate countries and other OECD countries (United States, Japan, Canada, Switzerland, Norway, Iceland, Mexico, Korea, Australia and New Zealand). Data for Member States and candidate countries are based on the ESA 2010 system for the last period and on ESA 95 and ESA 79 for the earlier years. Data for other OECD countries are based on the SNA 2008. Discontinuities of the levels of all series have been removed by applying the growth rates of the old series to the levels of the new series.
    • 六月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 02 七月, 2019
      选择数据集
      Information on net earnings (net pay taken home, in absolute figures) and related tax-benefit rates (in %) complements gross‑earnings data with respect to disposable earnings. The transition from gross to net earnings requires the deduction of income taxes and employee's social security contributions from the gross amounts and the addition of family allowances, if appropriate. The amount of these components and therefore the ratio of net to gross earnings depend on the individual situation. A number of different family situations are considered, all referring to an average worker. Differences exist with respect to marital status (single vs. married), number of workers (only in the case of couples), number of dependent children, and level of gross earnings, expressed as a percentage of the gross earnings of an average worker (AW).  All the data are based on a widely acknowledged model developed by the OECD, which figures are obtained from national sources. The collection contains, for selected situations, data for the following variables and indicators : a)      gross and net earnings, including the transition components "income taxes", "employee's social security contributions" and "family allowances", if appropriate; b)      tax rate, defined as the income tax on gross wage earnings plus the employee's social security contributions less universal cash benefits, expressed as a percentage of gross wage earnings; c)      tax wedge on labour costs, defined as income tax on gross wage earnings plus the employee's and the employer's social security contributions, expressed as a percentage of the total labour costs of the earner. The total labour costs of the earner are defined as his/her gross earnings plus the employer's social security contributions plus payroll taxes (where applicable). The tax wedge on labour costs structural indicator is available only for single persons without children earning 67% of the AW. d)      unemployment trap, measuring the percentage of gross earnings which is taxed away through higher tax and social security contributions and the withdrawal of unemployment, and other, benefits when an unemployed person returns to employment. This structural indicator is available only for single persons without children earning 67% of the AW when in work. e)      low wage trap, measuring the percentage of gross earnings which is taxed away through the combined effects of income taxes, social security contributions and any withdrawal of benefits when gross earnings increase from 33% to 67% of AW. This structural indicator is available for single persons without children and one-earner couples with two children.
    • 六月 2017
      来源: International Tropical Timber Organization
      上传者: Knoema
      访问日期: 24 七月, 2017
      选择数据集
      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries. Data cited at: ITTO Biennial review statistics: https://www.itto.int/biennal_review/
    • 十二月 2017
      来源: National Association of Insurance Commissioners
      上传者: Knoema
      访问日期: 03 一月, 2018
      选择数据集
    • 十月 2017
      来源: National Association of Insurance Commissioners
      上传者: Knoema
      访问日期: 09 十一月, 2017
      选择数据集
    • 六月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 04 六月, 2019
      选择数据集
    • 六月 1999
      来源: National Oceanic and Atmospheric Administration
      上传者: Knoema
      选择数据集
      Annual Temperature Anomaly timeseries for China, India, and the United States.
    • 十月 2010
      来源: Japan Apparel Technology and Research Association
      上传者: Knoema
      访问日期: 30 八月, 2016
      选择数据集
      The Japan Apparel Industrial Association
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2019
      选择数据集
      Data source used: The aquaculture production data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies. Data on marine landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • 九月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 04 九月, 2019
      选择数据集
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • 一月 2014
      来源: World Resources Institute
      上传者: Knoema
      访问日期: 07 十二月, 2015
      选择数据集
      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • 八月 2015
      来源: World Resources Institute
      上传者: Knoema
      访问日期: 25 三月, 2019
      选择数据集
      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
    • 九月 2015
      来源: Ministry of Statistics and Programme Implementation, India
      上传者: Knoema
      访问日期: 22 九月, 2019
      选择数据集
      Title: Area / Production And Productivity of Major Fruits and Vegetables Producing Countries In The World   Description: The data refers to data on Area, Production and Productivity of major Fruits and Vegetables producing Countries in the World from 2009-10 to 2010-11 (such as China, India, Brazil, USA, Italy, Spain, Mexico, Indonesia, Philippines, Iran, Turkey and Others).   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: area; Brazil; China; Horticulture; Iran; Italy; major; Mexico; Philippines; Spain; Turkey; USA; Donesia   Group: Horticulture   Sectors: Statistics; Horticulture; Agriculture   Note: Source: Data taken from Statistical Year Book-2013, CSO; NA: Not Available.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 30 四月, 2019
      选择数据集
      To view the original national data please open the questionnaires. The published data contain editions to the values available in national reports. Source: Joint COST Action FACESMAP/UNECE/FAO Enquiry on Forest Ownership in the ECE Region. Country: Slovakia The values of the “11-50 ha” size represent the aggregated data of the two sizes: “11-50 ha” and “51-500 ha”. Please refer to the national report to see the reported values.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 30 四月, 2019
      选择数据集
      To view the original national data please open the questionnaires. The published data contain editions to the values available in national reports. Source: Joint COST Action FACESMAP/UNECE/FAO Enquiry on Forest Ownership in the ECE Region.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 30 四月, 2019
      选择数据集
      To view the original national data please open the questionnaires. The published data contain editions to the values available in national reports. Source: Joint COST Action FACESMAP/UNECE/FAO Enquiry on Forest Ownership in the ECE Region.
    • 四月 2016
      来源: Ministry of Statistics and Programme Implementation, India
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      Title: Area / Population And Income Of G-20 Countries   Description: The data refers to for G-20 countries details on area, population, gross domestic product (GDP), domestic product per capita income and purchasing power from 2010 to 2012.   Released Under: National Data Sharing and Accessibility Policy (NDSAP)   Contributor: Ministry of Statistics and Programme Implementation   Keywords: GDP; domestic; product; Capita; Gross; Purchasing; Power   Group: India and The World   Sectors: Statistics; All   Note: Original Data Source: IMF staff estimates and published in Statistical Year Book-2014 by MoSPI.
    • 三月 2019
      来源: Stockholm International Peace Research Institute
      上传者: Knoema
      访问日期: 19 三月, 2019
      选择数据集
      Data cited at: Stockholm International Peace Research Institute (SIPRI)   The SIPRI Arms Transfers Database contains information on all transfers of major conventional weapons from 1950 to the most recent full calendar year. It is a unique resource for researchers, policy-makers and analysts, the media and civil society interested in monitoring and measuring the international flow of major conventional arms. For more information, see http://www.sipri.org/databases/armstransfers/sources-and-methods/
    • 十二月 2018
      来源: National Institute of Statistics and Census, Ecuador
      上传者: Knoema
      访问日期: 30 五月, 2019
      选择数据集
      Ecuador: Arrival and Departure Statistics
    • 十月 2013
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 六月, 2014
      选择数据集
      Eurostat Dataset Id:tour_occ_arnrmw National data Monthly and annual data on arrivals, nights spent and occupancy rates at tourist accommodation establishments. Regional data Annual arrivals, nights spent at tourist accommodation establishments at NUTS 2 level. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 十月 2016
      来源: Hellenic Statistical Authority
      上传者: Knoema
      访问日期: 13 六月, 2019
      选择数据集
    • 二月 2017
      来源: ASEAN +3 Macroeconomic Research Office
      上传者: Knoema
      访问日期: 26 七月, 2017
      选择数据集
    • 十一月 2015
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 20 十一月, 2015
      选择数据集
      The data are from the National Health Interview Survey (NHIS), a continuous national survey of the civilian noninstitutionalized population of the United States. Data are collected through in-person computer assisted household interviews
    • 七月 2019
      来源: Statistics Netherlands
      上传者: Knoema
      访问日期: 02 八月, 2019
      选择数据集
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Asylum requests; international https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80498ENG&_theme=1088 License: http://creativecommons.org/licenses/by/4.0/   Requests for asylum in member states of the European Union and some countries outside the European Union. In addition to the total number of asylum requests, the number of first asylum requests is also included. The data with respect to EU member states in this table is based on data from Eurostat and is partly different from data published in the table Asylum requests; international 1990-2009. See link section 3. The figures for the countries outside the European Union are submitted by the UNHCR. Data available from: 2008. Status of the figures: The data are final, but it occasionally happens that countries provide revised data. Therefore, the data in the table may be subject to change. Changes as of 22 December 2017: The figures for EU-28, Austria, France, Ireland and the United Kingdom have been adjusted for the year 2016 and the figure for Canada has been adjusted for the year 2015. The figures for Canada and Australia have been added for the year 2016. For the United States there is no current figure available for the year 2016. When will new figures be published? Figures for 2017 will be published in April 2018.
    • 九月 2015
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 20 十月, 2015
      选择数据集
      The data are from the National Health Interview Survey (NHIS), a continuous national survey of the civilian noninstitutionalized population of the United States. Data are collected through in-person computer assisted household interviews
    • 十二月 2017
      来源: National Association of Insurance Commissioners
      上传者: Knoema
      访问日期: 01 二月, 2018
      选择数据集
      Provides average costs associated with personal automobile insurance nationwide. This report, which shows state-by-state data, is designed to provide insurance regulators, consumers and legislators with information and analysis of auto insurance information. It makes information that impacts the price of auto insurance in each state readily available to insurance regulators monitoring the market and to the public. Included in the report are averages based on written premiums and exposures for the combined voluntary and residual market business. It also contains earned premiums, incurred losses, earned exposures and number of claims for both voluntary and residual market business. Updated annually.
    • 六月 2019
      来源: Good Car Bad Car
      上传者: Knoema
      访问日期: 10 七月, 2019
      选择数据集
      U.S. sales figures for U.K. ,U.S. and Canada for the overall auto industry.
    • 六月 2019
      来源: Good Car Bad Car
      上传者: Knoema
      访问日期: 10 七月, 2019
      选择数据集
      Auto sales Summary based on Brand of montlhy and annual basis.
    • 九月 2019
      来源: Good Car Bad Car
      上传者: Knoema
      访问日期: 27 九月, 2019
      选择数据集
      Auto sales Summary based on Brand of montlhy and annual basis.
    • 四月 2019
      来源: Good Car Bad Car
      上传者: Knoema
      访问日期: 09 五月, 2019
      选择数据集
      Auto sales Summary based on corporations on montlhy and annual basis.
    • 十月 2014
      来源: LMC Automotive
      上传者: Knoema
      访问日期: 09 一月, 2015
      选择数据集
      Automotive Industry, 2014
    • 十月 2013
      来源: International Organization of Motor Vehicle Manufacturers
      上传者: Carpe Facto
      选择数据集
      The International Organization of Motor Vehicle Manufacturers was founded in Paris in 1919. It is known as the “Organisation Internationale des Constructeurs d’Automobiles” (OICA). This dataset contains figures related to auto production, sales and usage.
    • 一月 2015
      来源: Center for Automotive Research
      上传者: Knoema
      访问日期: 02 五月, 2016
      选择数据集
      1.Data cited at AutoAlliance.org - http://www.autoalliance.org/files/dmfile/2015-Auto-Industry-Jobs-Report.pdf 2. Light-Duty (0-6,000 lb)-Class 1     Light-Duty (6,001-10,000 lb)-Class 2     Medium-Duty (10,001-14,000 lb)-Class 3     Medium-Duty (14,001-16,000 lb)-Class 4     Medium-Duty (16,001-19,500 lb)-Class 5     Medium-Duty (19,501-26,000 lb)-Class 6     Heavy-Duty (26,001-33,000 lb)-Class 7     Heavy-Duty (33,001 lb and over)-Class 8
    • 九月 2019
      来源: LMC Automotive
      上传者: Knoema
      访问日期: 07 十月, 2019
      选择数据集
      Note: Values for the variables under the parent "LMCA European Monthly Sales Report" and "LMCA Global Monthly Sales Report" are getting updated every month. 2019 annual data is Year-to-Date value.
    • 四月 2019
      来源: Child Care Aware of America
      上传者: Knoema
      访问日期: 14 五月, 2019
      选择数据集
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      The concept used is the total number of hours worked over the year divided by the average number of people in employment. The data are intended for comparisons of trends over time; they are unsuitable for comparisons of the level of average annual hours of work for a given year, because of differences in their sources. Part-time workers are covered as well as full-time workers. The series on annual hours actually worked per person in total employment presented in this table for all 34 OECD countries are consistent with the series retained for the calculation of productivity measures in the OECD Productivity database (www.oecd.org/statistics/productivity/compendium). However, there may be some differences for some countries given that the main purpose of the latter database is to report data series on labour input (i.e. total hours worked) and also because the updating of databases occur at different moments of the year. Hours Hours actually worked per person in employment are according to National Accounts concepts for 18 countries: Austria, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Italy, Korea, the Netherlands, Norway, the Slovak Republic, Spain, Sweden, Switzerland and Turkey. OECD estimates for Belgium, Ireland, Luxembourg and Portugal for annual hours worked are based on the European Labour Force Survey, as are estimates for dependent employment only for Austria, Estonia, Greece, the Slovak Republic and Slovenia. The table includes labour-force-survey-based estimates for the Russian Federation.countries: For further details and country specfic notes see: www.oecd.org/employment/outlook and www.oecd.org/employment/emp/ANNUAL-HOURS-WORKED.pdf
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 七月, 2019
      选择数据集
      This dataset contains data on average annual wages per full-time and full-year equivalent employee in the total economy.  Average annual wages per full-time equivalent dependent employee are obtained by dividing the national-accounts-based total wage bill by the average number of employees in the total economy, which is then multiplied by the ratio of average usual weekly hours per full-time employee to average usually weekly hours for all employees.   Average wages are converted in USD PPPs using 2017 USD PPPs for private consumption and are deflated by a price deflator for private final consumption expenditures in 2017 prices.   Real compensation per employee (instead of real wages) are considered for Chile, Iceland, Mexico and New Zealand.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 10 十月, 2019
      选择数据集
      This dataset presents the average number of students in a class by type of institution.
    • 十月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 24 十月, 2018
      选择数据集
      Average commute time per commuter Source:American Community Survey 1-Year Estimates Source Table: S0801
    • 六月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 05 六月, 2019
      选择数据集
      This table contains data on the average duration of unemployment by sex and standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). Data are expressed in months.
    • 十月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 21 六月, 2019
      选择数据集
      The average effective age of retirement is calculated as a weighted average of (net) withdrawals from the labour market at different ages over a 5-year period for workers initially aged 40 and over. In order to abstract from compositional effects in the age structure of the population, labour force withdrawals are estimated based on changes in labour force participation rates rather than labour force levels. These changes are calculated for each (synthetic) cohort divided into 5-year age groups. The estimates shown in red are less reliable as they have been derived from interpolations of census data rather than from annual labour force surveys. The estimates for women in Turkey are based on 3-yearly moving averages of participation rates for each 5-year age group. OECD estimates based on the results of national labour force surveys, the European Union Labour Force Survey and, for earlier years in some countries, national censuses.
    • 十一月 2005
      来源: Disabled World
      上传者: Prashanth BK Kumar
      访问日期: 27 一月, 2016
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 12 十月, 2019
      选择数据集
      This indicator presents data by sex on employees' average hourly earnings. The concept of earnings, as applied in wage statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers' contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Data are also disaggregated by occupation. Statistics on average hourly earnings by sex are the basis for the calculation of the gender pay gap. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • 七月 2018
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 17 七月, 2018
      选择数据集
      This table presents data on average monthly earnings converted to a common currency. Data in U.S. dollars are converted from local currency using exchange rates, while data in constant 2011 U.S. dollars are converted using 2011 purchasing power parities (PPPs)   Dataset splitted into below datasets:-   Local Currency (Total) - https://knoema.com/EAR_TEAR_NOC_NB   Local Currency (Men) - https://knoema.com/EAR_MEAR_NOC_NB   Local Currency (Women) - https://knoema.com/EAR_FEAR_NOC_NB   Constant 2011 PPP $ (Total) - https://knoema.com/EAR_4MPT_NOC_NB   Constant 2011 PPP $ (Men) - https://knoema.com/EAR_4MPM_NOC_NB   Constant 2011 PPP $ (Women) - https://knoema.com/EAR_4MPW_NOC_NB
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency. Manufacturing refers to ISIC-Rev. 4 Section C; ISIC-Rev. 3 Category D; or ISIC-Rev. 2 Major Division 2.
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for men.
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for women.
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 14 七月, 2019
      选择数据集
  • B
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 09 七月, 2016
      选择数据集
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 12 七月, 2016
      选择数据集
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 十月 2019
      来源: Statistics Denmark
      上传者: Knoema
      访问日期: 11 十月, 2019
      选择数据集
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十月, 2019
      选择数据集
      The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .
    • 六月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 10 十二月, 2015
      选择数据集
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 十月 2019
      来源: Statistics Denmark
      上传者: Knoema
      访问日期: 11 十月, 2019
      选择数据集
      Balance of payment, quarterly by items, receipts/expenditure, country and time
    • 十二月 2017
      来源: Department of Statistics, Malaysia
      上传者: Knoema
      访问日期: 21 二月, 2018
      选择数据集
      Annual statistics of Malaysia's balance of payment as time series 1947 - 2017.
    • 五月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 28 五月, 2019
      选择数据集
      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
    • 六月 2012
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 六月, 2012
      选择数据集
      Note: Not seasonally adjusted data in Millions of euro (from 1.1.1999)/ECU (up to 31.12.1998)
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 09 七月, 2016
      选择数据集
      The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of a economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall in the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment (a component of BoP financial account), to monitor the external commercial performance of different economies. Balance of Payments data are used for calculation of indicators needed for monitoring of macroenomic imbalances such as share of main BoP and International Investment Position (IIP) items in GDP and export market shares calculated as the EU Member States' shares in total world exports. Out of BoP data, some indicators of EU market integration are also derived. Data are in millions of Euro/ECU and in millions of national currency. Several statistical adjustments are applied to the original data provided by the Member States. These are described in the International Trade in Services EU 1992-2001 - Compilation guide. The International Monetary Fund Balance of Payments Manual (BPM5) classification is used for the compilation of the BoP. The BoP data are collected through national surveys and administrative sources.
    • 二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 01 三月, 2019
      选择数据集
      Since the collection of 2009 data, the scope of the OECD Global Insurance Statistics questionnaire has been expanded. These changes led to the collection of key balance sheet and income statement items for direct insurance and reinsurance sectors, such as: gross claims paid, outstanding claims provision (changes), gross operating expenses, commissions, total assets, gross technical provisions (of which: unit-linked), shareholder equity, net income.
    • 七月 2012
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 七月, 2012
      选择数据集
      This Dataset contains 3 Tables. Banks' balance sheet assets and liabilities - Annual data (mny_agg_a) Banks' balance sheet assets and liabilities - Quarterly data (mny_agg_q) Banks' balance sheet assets and liabilities - Monthly data (mny_agg_m). Note: Eurostat Hierarchy: Economy and finance > Monetary and other financial statistics (mny) > Monetary aggregates, counterparts, and other banks' balance sheet items (mny_agg).
    • 六月 2015
      来源: Barro-Lee
      上传者: Knoema
      访问日期: 12 十月, 2015
      选择数据集
      Data cited at: Barro-Lee  
    • 八月 2015
      来源: Barro-Lee
      上传者: Knoema
      访问日期: 12 十月, 2015
      选择数据集
      Data cited at: Barro-Lee
    • 六月 2018
      来源: Biotechnology Innovation Organization
      上传者: Knoema
      访问日期: 11 九月, 2018
      选择数据集
      This eighth, biennial report focuses on the economic progress and footprint of the industry geographically including the performance, positioning and latest trends in the bio-science industry for the nation, states and metropolitan areas. For the first time, it includes a national assessment of the full economic impact of the bio-science industry not only in terms of employment, but also with respect to economic output and fiscal impacts. In addition, the report details the nation’s academic research activities and trends in federal funding, access to critical angel and venture capital and the innovation outputs context via patent activities.
    • 六月 2019
      来源: U.S. Department of Agriculture
      上传者: Knoema
      访问日期: 10 六月, 2019
      选择数据集
      Sugar Data of United States
    • 十二月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 18 十二月, 2017
      选择数据集
      Better Life Index aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives. Each of the 11 topics of the Index is currently based on one to three indicators. Within each topic, the indicators are averaged with equal weights. The indicators have been chosen on the basis of a number of statistical criteria such as relevance (face-validity, depth, policy relevance) and data quality (predictive validity, coverage, timeliness, cross-country comparability etc.) and in consultation with OECD member countries. These indicators are good measures of the concepts of well-being, in particular in the context of a country comparative exercise. Other indicators will gradually be added to each topic.
    • 四月 2017
      来源: Alliance for Biking & Walking
      上传者: Knoema
      访问日期: 20 四月, 2017
      选择数据集
      In conjunction with the Centers for Disease Control and Prevention's Healthy Community Design Initiative, the Alliance publishes the biennial Benchmarking Report to collect and analyze data on bicycling and walking in all 50 states, the 52 largest U.S. cities, and a select number of midsized cities. The Report combines original research with over 20 government data sources to compile data on bicycling and walking levels and demographics, safety, funding, policies, infrastructure, education, public health indicators, and economic impacts. It's an essential go-to resource for public officials, advocates, decision makers, and researchers.
    • 四月 2014
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 08 二月, 2016
      选择数据集
      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • 四月 2018
      来源: World Bank
      上传者: Knoema
      访问日期: 14 十一月, 2018
      选择数据集
      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • 七月 2018
      来源: National Oceanic and Atmospheric Administration
      上传者: Knoema
      访问日期: 31 七月, 2019
      选择数据集
      Weather and Climate Billion-Dollar Disasters to affect the U.S. from 1980-2018 (CPI-Adjusted) U.S. Billion-dollar disaster events, summaries, report links and statistics for the 1980–2018 period of record. In 2018, there were 14 weather and climate disaster events with losses exceeding $1 billion each across the United States. These events included 1 drought event, 8 severe storm events, 2 tropical cyclone events, 1 wildfire event, and 2 winter storm events. Overall, these events resulted in the deaths of 247 people and had significant economic effects on the areas impacted. Note: All Events data has been aggregated.
    • 九月 2019
      来源: United Nations COMTRADE
      上传者: Knoema
      访问日期: 18 九月, 2019
      选择数据集
      Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors under Annexes section. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions under Annexes section. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products under Annexes section. High-tech patents: High-tech patents are defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents under Annexes section. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 一月, 2017
      选择数据集
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors under Annexes section. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions under Annexes section. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products under Annexes section. High-tech patents: High-tech patents are defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents under Annexes section. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 十一月 2018
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 25 一月, 2019
      选择数据集
      TOTAL FERTILITY RATE is the sum of the age-specific birth rates (5-year age groups between 10 and 49) for female residents of a specified geographic area (nation, state, county, etc.) during a specified time period (usually a calendar year) multiplied by 5. (NOTE: This rate estimates the number of children a hypothetical cohort of 1,000 females in the specified population would bear if they all went through their childbearing years experiencing the same age-specific birth rates for a specified time period.)
    • 九月 2016
      来源: Texas Department of State Health Services
      上传者: Knoema
      访问日期: 25 七月, 2017
      选择数据集
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 30 九月, 2019
      选择数据集
      Data cited at : https://www.bis.org/statistics/index.htm
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 10 九月, 2019
      选择数据集
      Data cited at : https://www.bis.org/statistics/index.htm
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 10 九月, 2019
      选择数据集
      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.   Data cited at : https://www.bis.org/statistics/index.htm
    • 九月 2019
      来源: Havocscope Black Market
      上传者: Knoema
      访问日期: 11 十月, 2019
      选择数据集
      Data cited at: Havocscope
    • 七月 2012
      来源: Multiple Sources
      上传者: Carpe Facto
      选择数据集
      Allowable limit for alcohol for countries across the world.
    • 四月 2017
      来源: Bloom Consulting
      上传者: Knoema
      访问日期: 24 五月, 2017
      选择数据集
      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • 二月 2019
      来源: BP
      上传者: Knoema
      访问日期: 21 二月, 2019
      选择数据集
      The Energy Outlook explores the forces shaping the global energy transition out to 2040 and the key uncertainties surrounding that transition. The Outlook considers a number of different scenarios. These scenarios are not predictions of what is likely to happen or what BP would like to happen. Rather, they explore the possible implications of different judgments and assumptions by considering a series of “what if” experiments. The scenarios consider only a tiny sub-set of the uncertainty surrounding energy markets out to 2040; they do not provide a comprehensive description of all possible future outcomes. For ease of explanation, much of the Outlook is described with reference to the ‘Evolving Transition’ scenario. But that does not imply that the probability of this scenario is higher than the others. Indeed, the multitude of uncertainties means the probability of any one of these scenarios materializing exactly as described is negligible. The Energy Outlook is produced to aid BP’s analysis and decision-making, and is published as a contribution to the wider debate. But the Outlook is only one source among many when considering the future of global energy markets. BP considers the scenarios in the Outlook, together with a range of other analysis and information, when forming its long-term strategy.
    • 二月 2019
      来源: BP
      上传者: Knoema
      访问日期: 03 五月, 2019
      选择数据集
      BP Energy Outlook Charts Data Pack - 2019 edition The Energy Outlook considers different aspects of the energy transition and the key issues and uncertainties these raise.   In all the scenarios considered, world GDP more than doubles by 2040 driven by increasing prosperity in fast-growing developing economies. In the Evolving transition (ET) scenario this improvement in living standards causes energy demand to increase by around a third over the Outlook, driven by India, China and Other Asia which together account for two-thirds of the increase. Despite this increase in energy demand, around two-thirds of the world’s population in 2040 still live in countries where average energy consumption per head is relatively low, highlighting the need for ‘more energy’. Energy consumed within industry and buildings accounts for around three-quarters of the increase in energy demand. Growth in transport demand slows sharply relative to the past, as gains in vehicle efficiency accelerate. The share of passenger vehicle kilometres powered by electricity increases to around 25% by 2040, supported by the growing importance of fully-autonomous cars and shared-mobility services.
    • 六月 2019
      来源: BP
      上传者: Knoema
      访问日期: 18 六月, 2019
      选择数据集
      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • 十月 2019
      来源: Instituto Aço Brasil
      上传者: Knoema
      访问日期: 12 十月, 2019
      选择数据集
      Brazil Steel Production
    • 二月 2017
      来源: National Institute of Statistics, Cameroon
      上传者: Knoema
      访问日期: 05 二月, 2019
      选择数据集
      Data cited at: https://cameroon.opendataforafrica.org/gfuiizc Breeding and Fishing, 2013
    • 八月 2018
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 27 八月, 2018
      选择数据集
      Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].
    • 八月 2018
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 27 八月, 2018
      选择数据集
      Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].
    • 八月 2018
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 27 八月, 2018
      选择数据集
      The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements.For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm.Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year].
    • 一月 2019
      来源: Texas Department of Transportation
      上传者: Knoema
      访问日期: 08 三月, 2019
      选择数据集
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 08 七月, 2019
      选择数据集
      Data given in this domain are collected annually by the National Statistical Institutes and are based on Eurostat's annual model questionnaires on ICT (Information and Communication Technologies) usage in households and by individuals. Large part of the data collected are used in the context of the follow up of the Digital Single Market process (Monitoring the Digital Economy & Society  2016-2021). This conceptual framework follows the 2011 - 2015 benchmarking framework, the i2010 Benchmarking Framework and the eEurope 2005 Action Plan. ICT usage data are also used in the Consumer Conditions Scoreboard (purchases over the Internet) and in the Employment Guidelines (e-skills of individuals). The aim of the European ICT surveys is the timely provision of statistics on individuals and households on the use of Information and Communication Technologies at European level. Data for this collection are supplied directly from the surveys with no separate treatment. Coverage: The characteristics to be provided are drawn from the following list of subjects:access to and use of ICTs by individuals and/or in households,use of the Internet and other electronic networks for different purposes by individuals and/or in households,ICT security and trust,ICT competence and skills,barriers to the use of ICT and the Internet,perceived effects of ICT usage on individuals and/or on households,use of ICT by individuals to exchange information and services with governments and public administrations (e-government),access to and use of technologies enabling connection to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns (see details of available breakdowns): Relating to households:by region of residence (NUTS 1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area) by type of householdby households net monthly income (optional) Relating to individuals:by region of residence (NUTS1, optional: NUTS 2)by geographical location: less developed regions, transition regions, more developed regionsby degree of urbanisation: (till 2012: densely/intermediate/sparsely populated areas; from 2012: densely/thinly populated area, intermediate density area)by genderby country of birth, country of citizenship (as of 2010, optional in 2010)by educational level: ISCED 1997 up to 2013 and ISCED 2011 from 2014 onwards.by occupation: manual, non-manual; ICT (coded by 2-digit ISCO categories)/non-ICT (optional: all 2-digit ISCO categories)by employment situationby age (in completed years and by groups)legal / de facto marital status (2011-2014, optional) Regional breakdowns (NUTS) are available only for a selection of indicators disseminated in the regional tables in Eurobase (Regional Information society statistics by NUTS regions (isoc_reg):Households with access to the internet at homeHouseholds with broadband accessIndividuals who have never used a computerIndividuals who used the internet, frequency of use and activitiesIndividuals who used the internet for interaction with public authoritiesIndividuals who ordered goods or services over the internet for private useIndividuals who accessed the internet away from home or work
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 22 七月, 2019
      选择数据集
      The OECD broadband database provides access to a range of broadband-related statistics gathered by the OECD. Policymakers must examine a range of indicators which reflect the status of individual broadband markets in the OECD.
    • 二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 28 五月, 2019
      选择数据集
      The OECD broadband portal provides access to a range of broadband-related statistics gathered by the OECD. Policy makers must examine a range of indicators which reflect the status of individual broadband markets. The OECD broadband speed tests by country show the official measurements of actual access network broadband speed. The OECD broadband map shows national broadband statistics in OECD countries. Mobile broadband penetration has risen to 85.4% in the OECD area, meaning more than four wireless subscriptions for every five inhabitants, according to data for June 2015 released by the OECD .
    • 六月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 28 八月, 2018
      选择数据集
    • 六月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
    • 三月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
    • 九月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 26 九月, 2019
      选择数据集
      Country: Belgium For vehicle kilometres: National transport = all kms driven in Belgium including the kms from international journeys driven in Belgium, International transport = all the kms driven outside Belgium, Regular national transport = Public Transport and school transport by public transport operators. For total passengers: Touring cars and coaches (occasional services) only, Regular national transport refers to public transport only. Country: Croatia Passenger kilometres refers to interurban transport only. Country: Hungary Number of passenger and vehicle kilometres refer to data from enterprises with more than 49 employees. Country: Ireland Refers to public transport only Country: Latvia Passenger kilometres refers to regular transport only. Country: Norway Urban transport data refer to the 13 largest city-areas only. Country: Poland International transport outside country includes only enterprises with more than 9 employees. Passenger kilometres includes only enterprises with more than 9 employees and does not include urban transport. Country: Portugal Refers to mainland only. Refers to public transport. Country: Slovenia Passenger kilometres refer to public transport. Passenger kilometres, international transport refer to domestic operators only. Country: United States Number of passengers, national transport does not include intercity or school bus transportation. Vehicle kilometres refers to all bus travel in the United States, not only vehicles registered in the country.
    • 十一月 2011
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 十一月, 2015
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 六月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 六月, 2019
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 十一月 2011
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 十一月, 2015
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 六月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 六月, 2019
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 十一月 2011
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 十一月, 2015
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 六月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 六月, 2019
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 六月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 六月, 2019
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB), Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 六月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 六月, 2019
      选择数据集
      This collection provides users with data concerning R&D expenditure and R&D personnel broken down by following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP) with the total of sectors. All data are broken down by the above mentioned sectors of performance. The R&D expenditure is further broken down by source of funds, by type of costs, by economic activity (NACE Rev.2), by size class, by type of R&D, by fields of science, by socio-economic objectives and by regions (NUTS 2 level). Besides R&D expenditures in basic unit National currency (MIO_NAC) the following units are available: Euro (MIO_EUR), Euro per inhabitant (EUR_HAB) Purchasing Power Standard (MIO_PPS), Purchasing Power Standard at 2005 prices (MIO_PPS_KP05), Purchasing Power Standard per inhabitant at constant 2005 prices (PPS_KP05_HAB), Percentage of GDP (PC_GDP) and Percentage of total R&D expenditure (PC_TOT - for the breakdown by source of funds). R&D personnel data is available in full-time equivalent (FTE), in head count (HC), as a % of employment and as a % of labour force. The data is further broken down by occupation, by qualification, by gender, by size class, by citizenship, by age groups, by fields of science, by economic activity (NACE Rev.2) and by regions (NUTS 2 level). The periodicity of R&D data is biennial except for the key R&D indicators (R&D expenditure, R&D personnel and Researchers by sectors of performance) which are transmitted annually by the EU Member States on the basis of a legal obligation from 2003 onwards. Some other breakdowns of the data may appear on annual basis based on voluntary data provisions. The data are collected through sample or census surveys, from administrative registers or through a combination of sources. R&D data are available for following countries and country groups: - All EU Member States, plus Candidate Countries, EFTA Countries, the Russian Federation, China, Japan, the United States and South Korea. - Country groups: EU-28, EU-15 and EA-18. R&D data are compiled in accordance to the guidelines laid down in the Proposed standard practice for surveys of research and experimental development - Frascati Manual (FM), OECD, 2002 .
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
    • 五月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 六月, 2017
      选择数据集
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2000 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by type of costs (current expenditure, capital expenditure). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and type of costs” and the preceding one “BERD by industry and source of funds” present data for only one of the criteria, depending on the country.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
    • 四月 2013
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 十一月, 2015
      选择数据集
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors under Annexes section. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions under Annexes section. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products under Annexes section. High-tech patents: High-tech patentsare defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents under Annexes section. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors under Annexes section. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions under Annexes section. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products under Annexes section. High-tech patents: High-tech patentsare defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents under Annexes section. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 四月 2013
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 十一月, 2015
      选择数据集
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors under Annexes section. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions under Annexes section. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products under Annexes section. High-tech patents: High-tech patentsare defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents under Annexes section. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE) at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors in Annex 2 and 3. Within the sectoral approach, a second classification was created, named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions in Annex 7 and 8. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. For more details, see definition of high-tech products in Annex 4 and 5. High-tech patents: High-tech patentsare defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents in Annex 6. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.
    • 五月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 20 六月, 2017
      选择数据集
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 04 十月, 2019
      选择数据集
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in this view of “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria)). The two tables that follow, “BERD by industry and source of funds” and “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • 五月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 09 六月, 2017
      选择数据集
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by source of funds (business enterprise, government, other national funds, and funds from abroad). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and source of funds” and the one that follows, “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • 五月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 六月, 2017
      选择数据集
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector. Data include total business enterprise intramural expenditure on R&D by size class and source of funds.
    • 五月 2017
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 21 六月, 2017
      选择数据集
      This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification.
    • 三月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 20 三月, 2019
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      US : NAICS Sectors, Small Employment Sizes An enterprise is a business organisation consisting of one or more domestic establishments that were specified under common ownership or control. The enterprise and the establishment are the same for single-establishment firms. Each multi-establishment company forms one enterprise - the enterprise employment and annual payroll are summed from the associated establishments.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十月, 2019
      选择数据集
      The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.   Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators.   The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.   Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 十月, 2019
      选择数据集
      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Business written in the reporting country on a gross and net premium basis. It contains a breakdown between domestic companies, foreign-controlled companies and branches and agencies or foreign companies.
  • C
    • 十月 2017
      来源: World Resources Institute
      上传者: Knoema
      访问日期: 06 八月, 2018
      选择数据集
      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • 十二月 2017
      来源: The General Aviation Manufacturers Association
      上传者: Knoema
      访问日期: 06 六月, 2018
      选择数据集
      Canada and U.S. General Aviation Fleet, Flight Activity, and Forecast
    • 九月 2019
      来源: Government of Canada
      上传者: Knoema
      访问日期: 27 九月, 2019
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      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • 十一月 2018
      来源: National Energy Board, Government of Canada
      上传者: Knoema
      访问日期: 05 四月, 2019
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      The National Energy Board’s (NEB) Energy Futures series explores how possible energy pathways might unfold for Canadians over the long term. The report employs economic and energy models to make projections based on a certain set of assumptions given what we know today about technology, energy and climate policies, human behavior, and the structure of the economy. Readers of this analysis should consider the projections as a baseline to support ongoing discussions of Canada’s energy future. This analysis is not a prediction of what will take place, nor does it aim to show how specific goals, such as Canada’s climate targets, will be achieved. Canada’s Energy Future 2018: Supply and Demand Projections to 2040 (EF2018) considers four different Cases: • The Reference Case is based on a current economic outlook, a moderate view of energy prices and technological improvements, and climate and energy policies announced at the time of analysis. • The High and Low Price Cases consider the impact of uncertain commodity prices on the Canadian energy system. • The Technology Case pushes past the policy and technology boundaries specific to the Reference Case and includes greater global climate policy action and low carbon technology adoption. It provides one potential view of what a faster transition enabled by stronger long-term carbon policy, faster uptake of technologies such as electric vehicles, and lower cost of renewable would mean for Canada’s energy future.
    • 九月 2019
      来源: Statistics Canada
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      For the location "Puerto Rico" data is available from 1990.
    • 五月 2019
      来源: American Cancer Society
      上传者: Knoema
      访问日期: 31 五月, 2019
      选择数据集
      This data set provides the Estimated numbers of new cancer cases and deaths in 2019 (In 2019, there will be an estimated 1,762,450 new cancer cases diagnosed and 606,880 cancer deaths in the United States.
    • 十二月 2018
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 02 一月, 2019
      选择数据集
      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • 四月 2019
      来源: Global Oil & Gas Network
      上传者: Knoema
      访问日期: 19 九月, 2019
      选择数据集
      data as of April 14, 2019
    • 九月 2019
      来源: National Bureau of Statistics, Nigeria
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      Capital Importation into Nigeria
    • 三月 2019
      来源: International Organization of Motor Vehicle Manufacturers
      上传者: Knoema
      访问日期: 11 四月, 2019
      选择数据集
      OICA Car Production Statistics 1999-2018 contains world motor vehicle production statistics, obtained from national trade organisations, OICA members or correspondents. Passenger cars are motor vehicles with at least four wheels, used for the transport of passengers, and comprising no more than eight seats in addition to the driver's seat. Commercial vehicles include light commercial vehicles, heavy trucks, coaches and buses.
    • 五月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 06 五月, 2019
      选择数据集
      Indicators in the OECD database on Carbon dioxide (CO2) emissions embodied in international trade are derived by combining the 2015 version of OECD's Inter-Country Input-Output (ICIO) Database with International Energy Agency (IEA) statistics on CO2 emissions from fuel combustion. Production-based CO2 emissions are estimated by allocating the IEA CO2 emissions to the 34 target industries in OECD ICIO and, to final demand for fuels, by both residents and non-residents. Consumption-based CO2 emissions are calculated by multiplying the intensities of the production-based emissions (c) with the global Leontief inverse (I-A)(-1) and global final demand matrix (Y) from OECD ICIO, taking the column sums of the resulting matrix and adding residential and private road emissions (FNLC), i.e. direct emissions from final demand: colsum [ diag(c) (I-A)(-1) Y ] + FNLC. The ICIO system includes discrepancies in the trade data (referred to as DISC). Emissions allocated to DISC are made explicit (e.g. in indicator FD_CO2). This ensures that global CO2 production equals global CO2 consumption.
    • 一月 2008
      来源: Carbon Dioxide Information Analysis Center
      上传者: Knoema
      选择数据集
      In summary, this database provides estimates of regional and global net carbon fluxes, on a year-by-year basis from 1850 through 2005, resulting from changes in land use (such as harvesting of forest products and clearing for agriculture), taking into account not only the initial removal and oxidation of the carbon in the vegetation, but also subsequent regrowth and changes in soil carbon. The net flux of carbon to the atmosphere from changes in land use from 1850 to 2005 was modeled as a function of documented land-use change and changes in aboveground and belowground carbon following changes in land use.
    • 三月 2019
      来源: Japanese Shipowners' Association
      上传者: Knoema
      访问日期: 27 五月, 2019
      选择数据集
      Japan: Shipping Statistics Handbook, Harbour
    • 九月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 26 九月, 2019
      选择数据集
      Source: UNECE Transport Division Database. Definitions: Inland waterways transport (IWT) : Any movement of goods and/or passengers using an IWT vessel on a given inland waterways network. When an IWT vessel is being carried on another vehicle, only the movement of the carrying vehicle (active mode) is taken into account. National inland waterways transport : Inland waterways transport between two places (a place of loading/embarkment and a place of unloading/disembarkment) located in the same country irrespective of the country in which the IWT vessel is registered. It may involve transit through a second country. International inland waterways transport : Inland waterways transport between two places (a place of loading/embarkment and a place of unloading/disembarkment) located in two different countries. It may involve transit through one or more additional countries. Goods carried by inland waterways : Any goods moved by IWT freight vessel. This includes all packaging and equipment such as containers, swap-bodies or pallets. Tonne-kilometre by inland waterways : Unit of measure of goods transport which represents the transport of one tonne by inland waterways over one kilometre. Goods loaded : Goods placed on an IWT vessel and dispatched by inland waterways. Transshipment from one IWT vessel to another is regarded as loading after unloading. The same applies to changes of pusher tugs or tugs. Goods unloaded : Goods taken of an IWT vessel after transport by inland waterways. Transshipment from one IWT vessel to another is regarded as unloading before re-loading. The same applies to changes of pusher tugs or tugs. International - loaded Goods having left the country by inland waterways (other than goods in transit by inland waterways throughout) : Goods which, having been loaded on an IWT vessel in the country, left the country by inland waterways and were unloaded in another country. International - unloaded Goods having entered the country by inland waterways (other than goods in transit by inland waterways throughout) : Goods which, having been loaded on an IWT vessel in another country, entered the country by inland waterways and were unloaded there. Goods in transit by inland waterways throughout : Goods which entered the country by inland waterways and left the country by inland waterways at a point different from the point of entry, after having been carried across the country solely by inland waterways in the same IWT freight vessel. Transshipments from one IWT vessel to another and changes of pusher tugs or tugs are regarded as loading/ unloading. Please note that country footnotes are not always in alphabetical order. .. - data not availableCountry: BulgariaPush/tow and self-propelled vessels refer to vessel type 1 to 4.Country: CroatiaSelf-propelled vessels includes transport by seagoing vesselsCountry: CzechiaPush/tow vessels refers to non-self propelled vessels and other vessels.Country: United States2012 tonne kilometer data does not include imports
    • 九月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 26 九月, 2019
      选择数据集
      Source: UNECE Transport Division Database. Definitions:National rail transport : Rail transport between two places (a place of loading/embarkment and a place of unloading/disembarkment) located in the same country irrespective of the country in which the railway vehicles were registered. It may involve transit through a second country. International rail transport : Rail transport between two places (a place of loading/embarkment and a place of unloading/disembarkment) in two different countries. It may involve transit through one or more additional countries. Goods carried by rail : Any goods moved by rail vehicles. This includes all packaging and equipment, such as containers, swap-bodies or pallets as well as road goods vehicles carried by rail. Tonne-kilometre by rail : Unit of measure of goods transport which represents the transport of one tonne of goods by rail over a distance of one kilometre. Goods loaded : Goods placed on a rail vehicle and dispatched by rail. Unlike in road and inland waterway transport, transshipments from one rail vehicle to another and change of tractive vehicle are not regarded as loading after unloading. Goods unloaded : Goods taken off a rail vehicle after transport by rail. Unlike in road and inland waterway transport, transshipments from one rail vehicle to another and change of tractive vehicle are not regarded as unloading before reloading. International - loaded Goods having left the country by rail (other than goods in transit by rail throughout) : Goods loaded on a reporting railway network and transported by rail to be unloaded in a foreign country. Wagons loaded on a railway network and carried by ferry to a foreign network are included. International - unloaded Goods having entered the country by rail (other than goods in transit by rail throughout) : Goods loaded on a foreign railway network and transported by rail on the reporting railway network for unloading in the country of this reporting network. Wagons loaded on a foreign railway network and carried by ferry to the reporting network are included. Goods in transit by rail throughout : Goods loaded on a foreign railway network for a destination on a foreign railway network which are transported on the reporting railway network. Wagons entering and/or leaving the reporting network by ferry are included. Please note that country footnotes are not always in alphabetical order. .. - data not available Country: Croatia Until 2012 international transport includes goods partly transported by railway and partly by another mode of transport. Since 2013 this kind of goods have been included in national transport. Country: Estonia ''Goods in transit by rail'' includes transition between rail and maritime transport in ports. Country: Slovenia Prior to 2004 data are based on transport of goods as to origin and destination. From 2004 on data are based on journeys, which means that the transport of goods is observed as to the place of loading and the place of unloading to/from a rail vehicle Country: Spain Refers to Renfe and ADIF only Country: Sweden ''Locomotives'' includes railcars. Country: United States Includes only Class I freight railroads.
    • 九月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 26 九月, 2019
      选择数据集
      Source: UNECE Transport Division Database. Definitions: Oil pipeline transport : Any movement of crude or refined liquid petroleum products in a given oil pipeline network. National oil pipeline transport : Oil pipeline transport between two places (a pumping-in place and a pumping-out place) located in the same country or in that part of the seabed allocated to it. It may involve transit through a second country. International oil pipeline transport : Oil pipeline transport between two places (a pumping-in place and a pumping-out place) located in two different countries or on those parts of the seabed allocated to them. It may involve transit through one or more additional countries. Goods transported by oil pipeline : Any crude or refined liquid petroleum products moved by oil pipelines. Tonne-kilometre by oil pipeline : Unit of measure of transport which represents transport of one tonne of goods by oil pipeline over one kilometre. International - loaded Goods having left the country by oil pipeline ( other than goods in transit by oil pipeline throughout ) : Goods which, having been pumped into an oil pipeline in the country or that part of the seabed allocated to it, left the country by oil pipeline and were pumped out in another country. International - unloaded Goods having entered the country by oil pipeline (other than goods in transit by oil pipeline throughout) : Goods which, having been pumped into an oil pipeline in another country or that part of the seabed allocated to it, entered the country by oil pipeline and were pumped out there. Goods in transit by oil pipeline throughout : Goods which entered the country by oil pipeline and left the country by oil pipeline at a point different from the point of entry, after having been transported across the country solely by oil pipeline. Goods which entered and/or left the country in question by vessels after pumping into/pumping out of an oil pipeline at the frontier are included. Please note that country footnotes are not always in alphabetical order. .. - data not available Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Country: Canada Data reported in cubic meters. Country: Turkey Data includes only crude petroleum transport of Petroleum Pipeline Corporation and Turkish Petroleum Corporation (TPAO)
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      A case of non-fatal occupational injury is the case of a worker incurring a non-fatal occupational injury as a result of an occupational accident, which entailed a loss of working time. Incapacity for work is the inability of the victim of an occupational accident, due to an occupational injury, to perform the normal duties of work in the job or post occupied at the time of the occupational accident. The incapacity for work can be permanent, when the persons injured were never able to perform again the normal duties of work in the job or post occupied at the time of the occupational accident causing the injury, or temporary, when the workers injured were unable to work from the day after the day of the accident, but were later able to perform again the normal duties of work in the job or post occupied at the time of the occupational accident causing the injury within a period of one year from the day of the accident.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      A case of non-fatal occupational injury is the case of a worker incurring a non-fatal occupational injury as a result of an occupational accident, which entailed a loss of working time. Incapacity for work is the inability of the victim of an occupational accident, due to an occupational injury, to perform the normal duties of work in the job or post occupied at the time of the occupational accident. The incapacity for work can be permanent, when the persons injured were never able to perform again the normal duties of work in the job or post occupied at the time of the occupational accident causing the injury, or temporary, when the workers injured were unable to work from the day after the day of the accident, but were later able to perform again the normal duties of work in the job or post occupied at the time of the occupational accident causing the injury within a period of one year from the day of the accident. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
    • 十一月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 九月, 2016
      选择数据集
      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • 十一月 2018
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 05 十二月, 2018
      选择数据集
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.
    • 六月 2016
      来源: African Development Bank Group
      上传者: Knoema
      访问日期: 20 七月, 2016
      选择数据集
      This Dataset describes the list of common indicators from census datasets of african countries.
    • 十二月 2018
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 27 五月, 2019
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaCaseCategorySourceSeasonal
    • 四月 2012
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 05 一月, 2018
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaCaseCategorySource
    • 十二月 2018
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 27 五月, 2019
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaEventCaseCategorySeasonal
    • 四月 2012
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 05 一月, 2018
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaEventCaseCategory
    • 十二月 2018
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 27 五月, 2019
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaIndustryCaseCategorySeasonal
    • 四月 2012
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 05 一月, 2018
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaIndustryCaseCategory
    • 十二月 2018
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 27 五月, 2019
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaOccupationCaseCategorySeasonal
    • 四月 2012
      来源: U.S. Bureau of Labor Statistics
      上传者: Knoema
      访问日期: 05 一月, 2018
      选择数据集
      Census of Fatal Occupational InjuriesDimensionsData TypeAreaOccupationCaseCategory
    • 一月 2016
      来源: National Institute of Statistics, Guinea Bissau
      上传者: Knoema
      访问日期: 06 二月, 2019
      选择数据集
      Data cited at: https://guinebissau.opendataforafrica.org/GWCENSUS2016 Guinea Bissau - Census conducted in the year 2009, Region and sector wise census data.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 09 四月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition:The Central Bank is the institution which is charged with regulating the amount of the money supply in a country, the availability and cost of credit, and the foreign exchange value of its currency. The boards of Central Banks are the decision making bodies. General note: Data on any fixed date of the year. .. - data not available Country: Bosnia and Herzegovina Data refer to: Governor and members of Governing Board. Country: Croatia Additional information (2013): Since 2013, Central Bank has 8 (instead of previously 14) board members. Country: Cyprus Reference period (2011): data refer to 2012. Country: Cyprus Government controlled area only. Country: Czechia Reference period (2008): Data refer to June - July. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region. Country: Germany Additional information (1990): The structure of the Deutsche Bundesbank and the maximum number of members of the decision making body was reorganized in 1992. Country: Germany Additional information (2002): The structure of the Deutsche Bundesbank and the maximum number of members of the decision making body was reorganized in 2002. Country: Hungary Change in definition (1995 onward): Data refer to President and deputy presidents. Country: Iceland Change in definition (1980 onward): Data refer to Board of governors. Country: Kazakhstan 1990: data refer to 1993. Country: Latvia Additional information (1995 - 2013): The Bank of Latvia is administered by the Council of the Bank and the Board of the Bank. Country: Latvia Change in definition (1995 - 2013): Data refer to the Council of the Bank. Country: Portugal Banco de Portugal is included. Country: Slovakia 2015 data refer to 20 November 2015. Country: Sweden Change in nomenclature from ISCO-88 to ISCO-08 between 2013 and 2014. Country: Switzerland Reference period: as of 1st January
    • 十月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 14 十月, 2019
      选择数据集
      Data cited at : https://www.bis.org/statistics/index.htm
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2018
      选择数据集
      Note:  The updates and revisions for the OECD Central Government Debt Database have been suspended. This dataset is no longer updated. For more info, please read http://stats.oecd.org/Index.aspx?DataSetCode=GOV_DEBT   Statistical population The focus of this dataset is to provide comprehensive quantitative information on marketable and non-marketable central government debt instruments in all OECD member countries. The coverage of the data is limited to central government debt issuance and excludes therefore state and local government debt and social security funds.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
      选择数据集
      CGPITRT: Central government personal income tax rates and threshold   This table reports statutory central government personal income tax rates for wage income plus the taxable income thresholds at which these statutory rates apply. The table also reports basic/standard tax allowances, tax credits and surtax rates. The information is applicable to a single person without dependents. The threshold, tax allowance and tax credit amounts are expressed in national currencies Tapered means that the tax relief basic amount is reduced with increasing income Further explanatory notes may be found in the Explanatory Annex This data represents part of the data presented within the Excel file “Personal income tax rates and thresholds for central governments - Table I.1”. The Data for 1981 to 1999 is not included here within as not all the data for these years is either available, or can be verified. The OECD tax database provides comparative information on a range of tax statistics - tax revenues, personal income taxes, non-tax compulsory payments, corporate and capital income taxes and taxes on consumption - that are levied in the 34 OECD member countries.” Tax policy Analysis homepage OECD Tax Database Taxing Wages Dissemination format(s) This data is also presented through the OECD Tax database webpage. OECD Tax Database
    • 十二月 2018
      来源: Editorial Projects in Education
      上传者: Knoema
      访问日期: 31 十二月, 2018
      选择数据集
      Chance for Success Index Indicators, United States
    • 七月 2019
      来源: U.S. National Center for Education Statistics
      上传者: Knoema
      访问日期: 13 八月, 2019
      选择数据集
      This dataset has indicators related to Characteristics of Children's Families of United States
    • 一月 2017
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 21 十一月, 2018
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international (UNICEF TransMONEE) official sources. Definition: Child-care refers to formal child-care arrangements, public or private, such as group care in child-care centres (creche) or registered childminders based in their own homes looking after two or more children. Child-care refers to children at youngest age (typically children aged under 3); pre-primary schools are excluded. Enrolment in child-care centres: Number of children aged under 3 enrolled in child-care centres per 100 children of the same age group. Data normally refer to beginning of the school-year. Availability of places in child-care centres: Ratio of the number of places available for children aged under 3 in child-care centres per 100 children of the same age group. Data refer to beginning of the school-year. General note: depending on the organization of education and child-care centers in countries, data may be available for age groups different from under 3 years. Such differences and other deviations from the above definitions are specified in country notes. .. - data not available Country: Austria Change in definition (1995 - 2012): Data include centre-based institutions and exclude home-based arrangements. Country: Austria Reference period (1995 - 2012): Age calculation as of 31 August, the beginning of school year. Country: Belgium Change in definition (1990 - 2012): Data refer to children aged 0-2.5 years Country: Belgium Reference period (2008 - 2009): Data refer to children enrolled on October 2008 Country: Belgium Territorial change (1990 - 2012): Data cover only the French community of Belgium Country: Bulgaria Reference period (1980 - 2012): Data refer to end of calendar year. E.g. 1980-1981 refers to 31.12.1980. Country: Croatia Additional information (2011 - 2012): Census 2011 data are used for children of the corresponding age. Country: Croatia Data refers to children aged 6 months to 2 years. Country: Cyprus Data refer to the Government controlled area only. Country: Cyprus Data only include enrolmemts in child care centres, exclude child care provided by registered childminders. Country: Denmark Reference period (2004): As of 2004, reference month changed from March to September. Country: Estonia Change in definition (1995 - 2007): Data refer to children aged 1?2 years. Country: Estonia Change in definition (2008 onward): Data refer to children aged 0-2 years. Country: Estonia Reference period (1995 - 2008): Data refer to middle of the school year, i.e. end of calendar year. Country: Estonia Reference period (2009 onward): Data refer to beginning of school year. Country: Finland Change in definition (2000 - 2012): Data refer to end of calendar year. Country: Finland The data include full- and part-time care in day care centres and families Country: France Data cover only Metropolitan France. Child care refers to child care centers and registered childminders based in their own homes. The data exclude pre-primary school, kindergartens, unregistered childminders and childminders working at home. Available places are here counted regardless of the age of the children actually using them : all of them are theorically available for 0-2 years old but some of them are in practice used for children aged 3 or more. Country: Georgia Change in definition (2008 - 2009): Data cover only child care organizations and refer to december. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region. Country: Germany Break in methodology (1990): Average calculated for Germany Country: Germany Reference period (1990): Data refer to 21.12.1991. Country: Germany Reference period (1995): Data refer to 1994. Country: Germany Reference period (2000): Data on places refer to 31.12.1998. Country: Germany Children in day care are included starting with reference year 2012/2013 according to definition of ISCED Level 010 in ISCED 2011. Country: Hungary Change in definition (1990 - 2007): Data for available places refer to all children enrolled including children aged 3+ years. Data referred only to nurseries, from 2008 day care and child minding are also included. Country: Hungary Reference period (1990 onward): Data refer to 31 May of each year Country: Iceland Change in definition (1990 - 2012): Data refer to children aged 0-2 years in formal child-care arrangements and with registered private child-minders. Country: Israel Data are from registers. Country: Italy Change in definition (1980 - 2003): Data refer to formal child-care arrangements in public centres. Country: Italy Change in definition (2004 - 2012): Data refer to formal child-care arrangements, public or private. Country: Kazakhstan Change in definition (2001 - 2012): Data refer to children aged 0-2 years enrolled in permanent pre-primary organizations functioning at least 10 months per year. Data do not cover other types of existing organizations such as seasonal kindergartens etc. Country: Kyrgyzstan Reference period (1990 - 2012): Data refer to the end of the year. Country: Lithuania Data refer to children aged 1-2 years. Data refer to end of calendar year Country: Moldova, Republic of Data exclude the territory of the Transnistria and municipality of Bender. Data for indicator ''Places available in child-care centres per 100 children'' refers to 0-6 group of age. Country: Montenegro Change in definition (2000 - 2012): Data refer to children aged 0-2 years enrolled in pre-primary public organizations. Country: Netherlands Data refer to children aged 0-4 years Country: Netherlands 1995-1996 data refer to 1996. 2000-2001 data refer to 2000, 2002-2003 data refer to 2002 etc. Country: Norway Data refer to end of calendar year. i.e. 2000/2001 data refer to December 2000. Country: Poland From 2000 onwards, data concern health care facility: nurseries and nursery wards of nursery schools. Since 2011, the data also apply to children’s club which are a new form of childcare. Country: Poland Reference period (from 2000 onwards): The data in the two-year period refers to the end of the calendar year mentioned in the range as earlier Country: Portugal Data refer to calendar year Country: Portugal Data cover mainland only. Country: Romania Break in methodlogy (2002): From 2002, reference population is the resident population Country: Romania Break in methodology (2010): data refer to formal child-care in public and private sector. Starting 2010 data refer to children aged 0 to less than 3 years. The reference population is the population aged 0-2 years. However in enrolled population also includes children aged 3 years and over. From 2014 data compiled according to ISCED 2011. Country: Romania Change in definition (1990 - 2012): Data refer to formal child-care in public and private sector. Country: Romania Reference period (1990 - 2012): Data refer to calendar year. i.e. data for 2009-2010 refer to 2009. Country: Romania Reference period (2010): Data refer to calendar year. i.e. data for 2009-2010 refer to 2009. Data refer to calendar year. i.e. data for 2010-2011 refer to 2010. Country: Russian Federation Reference period (2000 - 2012): Data are given at the end of the year. Country: Serbia Territorial change (2000 - 2012): The Statistical Office of the Republic of Serbia has no available data on the AP Kosovo and Metohija. Country: Sweden Change in definition (1980 - onwards): Data refer to children aged 1-2 years due to longer parental leave which allows most children aged 0-1 years to be with their parents. Country: Sweden Reference period (2000): Before 2000/2001: data as of 31 December. From 2001: data as of 15 December. Country: Switzerland Data refer to children from 0 to less than 4 years. Country: Tajikistan Change in definition (2000 - 2012): Data refer to children aged 0-3 years. Country: Tajikistan Reference period (2006 - 2007): Data refer to end of calendar year Country: Ukraine Reference period (1990 - 2014): Data refer to calendar year. For all years, data refer to children aged 0-2. Country: United Kingdom Change in definition (2010 - 2012): Childcare includes: Day nursery, Playgroup or Preschool, and Childminders. Childminders look after at least one child for more than 2 hours in any day Country: United Kingdom Reference period (2010 - 2012): Figures do not relate to the beginning of the school year but to a term-time reference week. The Survey is not carried out at the same point each year Country: United Kingdom Territorial change (2010 - 2012): Figures relate to England only and not the whole of the UK Country: United States Change in definition (1995 - 2012): Data refer to civilian, non-institutionalized population. Data refer to children enrolled in an organized care facility which includes day care centers, nursery, preschools, Federal Head Start programs, and kindergarten, grade school. Country: United States Reference period (2000): Data refer to 1999.
    • 二月 2019
      来源: United Nations Children's Fund
      上传者: Knoema
      访问日期: 08 四月, 2019
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      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
    • 五月 2018
      来源: KIDS COUNT Data Center
      上传者: Knoema
      访问日期: 22 三月, 2019
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      Definitions: The number of children and youth in the foster care system by race or Hispanic origin. Some states allow children to remain in the foster care system until their 18th birthday while other states have age limits that extend a few years beyond this. The current indicator includes children of all ages. Percent estimates of children in each race/Hispanic group are based on the total number of children in foster care with race/ethnicity data. A small number of AFCARS records across many states were missing information on the child’s race/Hispanic group and were also not included in the “unable to determine” category. These missing data are excluded from percentage and frequency distributions. Youth are categorized as being in foster care if they entered prior to the end of the current fiscal year and have not been discharged from their latest foster care spell by the end of the current fiscal year. Race or Hispanic origin are mutually exclusive categories. Children who are of Hispanic origin are not classified as any other race. National estimates include Puerto Rico. Data Source: Child Trends analysis of data from the Adoption and Foster Care Analysis and Reporting System (AFCARS), made available through the National Data Archive on Child Abuse and Neglect.
    • 二月 2019
      来源: Texas Department of Family and Protective Services-DFPS
      上传者: Knoema
      访问日期: 08 三月, 2019
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    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
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    • 九月 2019
      来源: Texas Health and Human Services
      上传者: Knoema
      访问日期: 24 九月, 2019
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      Notes Highlighted monthly caseloads are incomplete and will change Source: CHIP PPS Data HHSC Forecasting
    • 三月 2017
      来源: ScienceDirect
      上传者: Knoema
      访问日期: 25 七月, 2017
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    • 六月 2018
      来源: Statistics Finland
      上传者: Knoema
      访问日期: 29 十一月, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 030 -- Citizenship by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_030.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Citizenship If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country. Citizenship Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • 二月 2019
      来源: Statistics Greenland
      上传者: Knoema
      访问日期: 11 二月, 2019
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      The Population Register contains information on all persons who have resided in Greenland after 1 January 1977. The purpose of the register is to be the basis for population statistics, and to supplement other personal information with basic information about each person, like address and family relations.The Population register is updated with information from CPR (Administrative Population Register) where the following information is retrieved: name, gender, age, place of birth, citizenship, marital status, reference to mother, father and spouse, address of residence and more. According to §13 of the Act on Greenland Statistics, no person-related information is disclosed from the register, except for personal numbers, randomly drawn for surveys
    • 八月 2019
      来源: Statistics Greenland
      上传者: Knoema
      访问日期: 11 八月, 2019
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      Population as of 1 Juli. Our Populationregister holds information on all persons, who have had address in Greenland after Januar 1st 1977. Purpose of the register Registrets formål er at danne grundlag for befolkningsstatistikken, samt supplere andre personhenførbare oplysninger med basisoplysninger om personen, samt dennes adresse og familierelationer. Befolkningsstatistikregistret opdateres med oplysninger fra CPR (Folkeregistrene) hvor følgende oplysninger hentes: navn, køn, alder, fødested, statsborgerskab, civilstand, henvisning til mor, far samt ægtefælle, bopælsadresse og tilflytningsdato. Jfr §13 i Lov om Grønlands Statistik, videregives ingen personhenførbare oplysninger fra registret, bortset fra personnumre, som efter Datatilsynets godkendelse er udtrukket til interviewundersøgelser
    • 五月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 12 六月, 2019
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      City and Town Population Totals: 2010-2018, U.S.
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 八月, 2019
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      This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection: the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered: Pupils and students – Enrolments and EntrantsLearning mobilityEducation personnelEducation financeGraduatesLanguage learningData and indicators disseminated include e.g. participation rates at different levels of education,  shares of pupils and students by programme orientation (general/academic and vocational/professional) and in combined school and work-based programmes, enrolments in public and private institutions, tertiary education graduates, degree mobile students enrolled and graduates, pupil-teacher ratios, foreign language learning, expenditure on education per student and relative GDP etc.
    • 九月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 十月, 2019
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      This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection: the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered: Pupils and students – Enrolments and EntrantsLearning mobilityEducation personnelEducation financeGraduatesLanguage learningData and indicators disseminated include e.g. participation rates at different levels of education,  shares of pupils and students by programme orientation (general/academic and vocational/professional) and in combined school and work-based programmes, enrolments in public and private institutions, tertiary education graduates, degree mobile students enrolled and graduates, pupil-teacher ratios, foreign language learning, expenditure on education per student and relative GDP etc.
    • 八月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 07 八月, 2019
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    • 一月 2019
      来源: King Abdullah Petroleum Studies and Research Center
      上传者: Knoema
      访问日期: 21 五月, 2019
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      Data Insight 20: CO2 emissions from oil combustion for G-20 countries (1971-2015)
    • 七月 2019
      来源: End Coal
      上传者: Knoema
      访问日期: 04 九月, 2019
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      Data cited at: End Coal https://endcoal.org/ Topic: Coal Plants by country Publication URL: https://endcoal.org/global-coal-plant-tracker/summary-statistics/ License: https://creativecommons.org/licenses/by-nc/4.0/
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
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    • 四月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 21 五月, 2019
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      The collective bargaining coverage rate conveys the number of employees whose pay and/or conditions of employment are determined by one or more collective agreement(s) as a percentage of the total number of employees. Collective bargaining coverage includes, to the extent possible, workers covered by collective agreements in virtue of their extension. Collective bargaining coverage rates are adjusted for the possibility that some workers do not have the right to bargain collectively over wages (e.g. workers in the public services who have their wages determined by state regulation or other methods involving consultation), unless otherwise stated in the notes. The statistics presented in this table result from an ILO data compilation effort (including an annual questionnaire and numerous special enquiries), with contributions from J. Visser.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
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    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
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    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
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    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
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    • 四月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 17 六月, 2019
      选择数据集
      Combined Statistical Area Population Estimates, U.S.
    • 二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 28 二月, 2019
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      Institutional coverage As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business data where composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Item coverage Commissions in the reporting country, containing a breakdown between domestic companies, foreign-controlled companies and branches and agencies of foreign companies.
    • 一月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
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      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • 五月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 03 五月, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Commodity Markets Outlook Publication: http://www.worldbank.org/en/research/commodity-markets License: http://creativecommons.org/licenses/by/4.0/   Report on Commodity Markets Outlook, 2019 April Financial Years-1970/71,1980/1981,2017/2018,2018/2019 have been considered as 1971,1981,2018,2019 respectively.
    • 十二月 2010
      来源: U.S. National Center for Education Statistics
      上传者: Knoema
      访问日期: 28 十二月, 2018
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      Common Core of Data: State Dropout and Completion Data "For Numeric Data: -1 denotes missing, not available, or not reported data items. -2 denotes data points that are not applicable (1st graders in high schools). -9 denotes responses to items that have been suppressed from the file because they do not meet NCES data quality standards. For Character Data: No character, string, or categorical fields on this file have any missing, not applicable, or suppressed values."
    • 九月 2018
      来源: U.S. National Center for Education Statistics
      上传者: Knoema
      访问日期: 27 九月, 2018
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      Program Overview:The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four U.S. Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands), the Department of Defense Education Activity (DoDEA), and the Bureau of Indian Education (BIE). In order to provide data comparable across states, NCES and representatives of SEAs have worked since the 1950s to develop and accept common data items and definitions. SEAs report school-, agency-, and state-level education data for the CCD through the U.S. Department of Education’s EDFacts collection system. CCD survey staff edits the data to produce the final data file, which NCES uses to construct general-purpose publications and specialized reports. The principal users of CCD nonfiscal data are the federal government; the education research community; state and local government officials, including school boards and LEA administrators; and the general public.   Guidelines for Missing, Not Applicable, and Suppression Code Values: For Numeric Data: -1 denotes missing, not available, or not reported data items. -2 denotes "not applicable" data items. -9 indicates suppressed data because it failed the multi-year edit.        
    • 三月 2016
      来源: UNESCO Institute for Statistics
      上传者: Knoema
      访问日期: 22 三月, 2016
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    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十二月, 2016
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      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 十二月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 十二月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 十二月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十二月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Design refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 22 三月, 2019
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 六月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 20 六月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 六月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 20 六月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 十二月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 04 十二月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the "identity" of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十一月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 30 十一月, 2016
      选择数据集
      Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trademark and Designs constitute means by which creators seek protection for their industrial property. Trademark and Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trademark and Design data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of trademarks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Trademarks and Designs. Community Trademarks and Design refer to trade mark and design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (OHIM) is the official office of the European Union for the registration of Community Trademarks and Designs. A Community trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with OHIM in Alicante in accordance with the conditions specified in the CTM Regulations (Source: OHIM). A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: OHIM).
    • 十二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十二月, 2018
      选择数据集
      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.   
    • 八月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 02 八月, 2019
      选择数据集
      Please be aware that this indicator has been rescaled, i.e. data is expressed in relation to EU28 = 100. Thus, they are not comparable with previous releases. Comparative price levels are the ratio between Purchasing power parities (PPPs) and market exchange rate for each country. PPPs are currency conversion rates that convert economic indicators expressed in national currencies to a common currency, called Purchasing Power Standard (PPS), which equalises the purchasing power of different national currencies and thus allows meaningful comparison. The ratio is shown in relation to the EU average (EU28 = 100). If the index of the comparative price levels shown for a country is higher/ lower than 100, the country concerned is relatively expensive/cheap as compared with the EU average.
    • 十二月 2018
      来源: U.S. Government Revenue
      上传者: Knoema
      访问日期: 04 一月, 2019
      选择数据集
      Comparison of State and Local Government Revenue in the United States
    • 十二月 2018
      来源: U.S. Government Spending
      上传者: Knoema
      访问日期: 07 一月, 2019
      选择数据集
      Comparison of State and Local Government Spending in the United States -5yr -1yr Fiscal Year 2023
    • 四月 2018
      来源: National Association of Insurance Commissioners
      上传者: Knoema
      访问日期: 15 五月, 2018
      选择数据集
    • 一月 2013
      来源: World Economic Forum and OECD
      上传者: International Comparisons
      访问日期: 01 十月, 2013
      选择数据集
      Using the World Economic Forum's Global Competiteness Index and other indicators from the OECD, internationalcomparisons.org reviews the most telling statistics for competitiveness among advanced democracies. The United States ranks as the fourth most competitive economy in the index but has sustained a huge deficit in its current accounts balance.
    • 十二月 2009
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 五月, 2014
      选择数据集
      Eurostat Dataset Id:educ_bo_ou_comp The Bologna declaration was signed in 1999 by 29 European ministers responsible for higher education. Today, 46 signatory countries are engaged in the process towards a European Higher Education Area (EHEA). The Bologna Process is an intergovernmental initiative which also involves the European Commission, the Council of Europe and UNESCO-CEPES, as well as representatives of higher education institutions, students, staff, employers and quality assurance agencies. It aims to create a European Higher Education Area by 2010, and to promote the European system of higher education worldwide. More information on the Bologna process is available on http://ec.europa.eu/education/higher-education/doc1290_en.htm. Many indicators on social dimension and mobility in the Bologna process come from the UOE data collection in the education statistics domain. The completion rate (educ_bo_ou_comp) was computed in the framework of the UOE data collection (jointly carried out by Unesco, OECD and Eurostat), but is usually disseminated by OECD only. The methodology for estimating completion rates varies across countries. They can use three methods: the cross-section method, the true cohort method, or the synthetic cohort method (see section 11.1 below for more details). The year of reference gives the reference year for the number of graduates. The estimation assumes constant student flows at the tertiary level, owing to the need for consistency between the graduate cohort in the reference year and the entrant cohort n years before. This assumption may be an oversimplification. Results are less reliable in systems in which enrolments fluctuate markedly, or students are faced with many different options as regards the length of courses for which they may enrol or in which there are many changes in programmes between the years of admission and graduation respectively. The inclusion of foreign students in the new entrant questionnaire can have an impact on the completion rates indicator. In some countries, the proportion of foreign students represents a large part of tertiary population, and all of them are considered as new entrants in tertiary education (as advised in UOE Guidelines) whereas most of them won't be graduated at this level of education. The consequence is to underestimate the completion rates in those countries with relatively large proportions of foreign students enrolled in tertiary education.
    • 九月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 24 九月, 2019
      选择数据集
      Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 22 四月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Data provided refer to the proportion of persons who used a computer in the last three months preceding the survey over the total population of corresponding sex and age group. A computer is defined as a multi purpose machine, a personal computer, powered by one of the major operating systems, i.e. Macintosh (Apple), Linux or Microsoft (Windows XP, NT or Vista). PDAs (handheld computers or palmtops) are included. Other equipments with embedded computing technologies, e.g. cell phones, TV sets, washing machines and dish washers are not considered as computers. .. - data not available Country: Armenia Additional information (2004 - 2008): Data refer to percentage of persons using computers in households covered in Integrated household living standards survey. Country: Armenia For 2013-2014 data refer to the proportion of persons who used a computer in the last 12 months. Since 2015, to the proportion of persons who used a computer in the last three months. Country: Belarus Refers to computer use in the past 12 months. Country: Israel Change in definition (2002 - 2006): Data refer to population aged 20 and over. Data refer to the proportion of persons who used a computer in the last month. Country: Israel Change in definition (2007 - 2013): Data refer to population aged 20 and over. Country: Moldova, Republic of Change in definition (2009): Data refer to ge groups: 16-29, 30-59, 60-74. Country: Russian Federation Reference period (2013): Data do not refer to equipment such as mobile cellular phones , PDAs ( personal digital assistants) or TVs etc. Country: Serbia Data exclude territory of Kosovo and Metohija Country: United States Change in definition (1990 - 2013): Data do not refer to last 3 months, i.e. not time specific. Data are collected in October.
    • 十二月 2016
      来源: Concordia
      上传者: Knoema
      访问日期: 28 七月, 2017
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      THE CONCORDIA PARTNERSHIP Index (the Index) was developed as a tool for public, private, and nonprofit organizations to identify opportunities to form strategic partnerships and pool resources for the implementation of innovative ideas. The Index ranks countries based on their readiness and need to engage in public-private partnerships (P3s). The inclu- sion of the need indicators sets the Index apart from other indices that measure P3 environ- ments. While the success of a P3 depends on a country’s political and market structures, the Index recognizes that for a P3 to be truly impactful it must address a large-scale need.
    • 八月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 26 八月, 2019
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      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 23 九月, 2019
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 23 九月, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 八月, 2019
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      This dataset presents the Consolidated financial balance sheets by economic sector (Quarterly table 0710), according to SNA 2008 methodology. It comprises all flows, which record, by type of financial instruments, the financial transactions between institutional sectors.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 十月, 2019
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      This dataset presents the Consolidated financial transactions by economic sector (Quarterly table 0610), according to SNA 2008 methodology. It comprises all flows, which record, by type of financial instruments, the financial transactions between institutional sectors.
    • 九月 2019
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 26 九月, 2019
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      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • 十一月 2018
      来源: Federal Competitiveness and Statistics Authority, United Arab Emirates
      上传者: Knoema
      访问日期: 04 十二月, 2018
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      Data cited at: https://uaenumbers.fcsa.gov.ae/wuhehnf
    • 九月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 03 十月, 2019
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      The FAOSTAT monthly CPI Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.
    • 九月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 24 九月, 2019
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      The 'Consumer Price Indices (CPIs)' contains all data that was previously contained in three different datasets: 'Consumer Prices', 'National Consumer Price Indices (CPIs) by COICOP divisions' and 'Harmonised Indices of Consumer Prices (HICPs) by COICOP divisions'. The 'Consumer Price Indices (CPIs)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and for some non-member countries. The ‘Consumer Price Indices (CPIs)' dataset contains statistics on Consumer Price Indices including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national annual inflation. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases, a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data).
    • 六月 2012
      来源: Eurostat
      上传者: Knoema
      访问日期: 14 六月, 2012
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      Note: Not seasonally adjusted data
    • 三月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 18 三月, 2019
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      Eurostat Dataset Id:educ_igen The aim of the education statistics domain is to provide comparable statistics and indicators on key aspects of the education systems across Europe. The data cover participation and completion of education programmes by pupils and students, personnel in education and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the UOE data collection:the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered:Context - School-aged population, overall participation rates in educationDistribution of pupils/students by levelParticipation/enrolment in education (ISCED 0-4)Tertiary education participationTertiary education graduatesTeaching staff (ISCED 1-3)Pupil/students-teacher ratio and average class size (ISCED 1-3)Language learning (ISCED 1-3)Regional enrolmentsExpenditure on education in current pricesExpenditure on education in constant pricesExpenditure on education as % of GDP or public expenditureExpenditure on public and private educational institutionsFinancial aid to studentsFunding of education Other tables, used to measure progress towards the Lisbon objectives in education and training, are gathered in the Thematic indicators tables. They contain the following indicators: - Teachers and trainers - Mathematics, science and technology enrolments and graduates - Investments in education and training - Participation rates in education by age and sex - Foreign language learning - Student mobility
    • 四月 2019
      来源: National Oceanic and Atmospheric Administration
      上传者: Olga Bikeeva
      访问日期: 28 六月, 2019
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      States Affected and Category by States Affected: The impact of the hurricane on individual U.S. states based upon the Saffir-Simpson Hurricane Wind Scale (through the estimate of the maximum sustained [1-min] surface [10 m] winds at each state). TX S-South Texas, TX C-Central Texas, TX N-North Texas, LA-Louisiana, MS-Mississippi, AL-Alabama, FL NW-Northwest Florida, FL SW-Southwest Florida, FL SE-Southeast Florida, FL NE-Northeast Florida, GA-Georgia, SC-South Carolina, NC-North Carolina, VA-Virginia, MD-Maryland, DE-Delaware, NJ-New Jersey, NY-New York, PA-Pennsylvania, CT-Connecticut, RI-Rhode Island, MA-Massachusetts, NH-New Hampshire, ME-Maine. In Texas, south refers to the area from the Mexican border to Corpus Christi; central spans from north of Corpus Christi to Matagorda Bay and north refers to the region from north of Matagorda Bay to the Louisiana border. In Florida, the north-south dividing line is from Cape Canaveral [28.45N] to Tarpon Springs [28.17N]. The dividing line between west-east Florida goes from 82.69W at the north Florida border with Georgia, to Lake Okeechobee and due south along longitude 80.85W.) Occasionally, a hurricane will cause a hurricane impact (estimated maximum sustained surface winds) in an inland state. To differentiate these cases versus coastal hurricane impacts, these inland hurricane strikes are denoted with an "I" prefix before the state abbreviation. States that have been so impacted at least once during this time period include Alabama (IAL), Georgia (IGA), North Carolina (INC), Virginia (IVA), and Pennsylvania (IPA). The Florida peninsula, by the nature of its relatively landmass, is all considered as coastal in this database. Highest U.S. Saffir-Simpson Category: The highest Saffir-Simpson Hurricane Wind Scale impact in the United States based upon estimated maximum sustained (1-min) surface (10 m) winds produced at the coast. ("TS" indicates that the system caused only tropical storm conditions in the United States, though it was a hurricane at landfall. See "&" below.) Central Pressure: The observed or estimated central pressure of the hurricane at landfall. Maximum Winds: Estimated maximum sustained (1-min) surface (10 m) winds to occur along the U. S. coast. Winds are estimated to the nearest 10 kt for the period of 1851 to 1885 and to the nearest 5 kt for the period of 1886 to date. (1 kt = 1.15 mph.) * - Indicates that the hurricane center did not make a U.S. landfall (or substantially weakened before making landfall), but did produce the indicated hurricane-force winds over land. In this case, central pressure is given for the time that the hurricane winds along the coast were the strongest. & - Indicates that the hurricane center did make a direct landfall, but that the strongest winds likely remained offshore. Thus the winds indicated here are lower than in HURDAT. # - Indicates that the hurricane made landfall over Mexico, but also caused sustained hurricane force surface winds in Texas. The strongest winds at landfall impacted Mexico, while the weaker maximum sustained winds indicated here were conditions estimated to occur in Texas. Indicated central pressure given is that at Mexican landfall. Additional Note: Because of the sparseness of towns and cities before 1900 in some coastal locations along the United States, the above list is not complete for all states. Before the Gulf of Mexico and Atlantic coasts became settled, hurricanes may have been underestimated in their intensity or missed completely for small-sized systems (i.e., 2004's Hurricane Charley). The following list provides estimated dates when accurate tropical cyclone records began for specified regions of the United States based upon U.S Census reports and other historical analyses. Years in parenthesis indicate possible starting dates for reliable records before the 1850s that may be available with additional research: Texas-south > 1880, Texas-central > 1851, Texas-north > 1860, Louisiana > 1880, Mississippi > 1851, Alabama < 1851 (1830), Florida-northwest > 1880, Florida-southwest > 1900, Florida-southeast > 1900, Florida-northeast > 1880, Georgia < 1851 (1800), South Carolina < 1851 (1760), North Carolina < 1851 (1760), Virginia < 1851 (1700), Maryland < 1851 (1760), Delaware < 1851 (1700), New Jersey < 1851 (1760), New York < 1851 (1700), Connecticut < 1851 (1660), Rhode Island < 1851 (1760), Massachusetts < 1851 (1660), New Hampshire < 1851 (1660), and Maine < 1851 (1790).
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 16 四月, 2019
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    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 20 二月, 2017
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      Control of corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as "capture" of the state by elites and pricate interests. The Worldwide Governance Indicators report on six broad dimensions of governance for 215 countries over the period 1996-2014: Voice and Accountability, Political Stability and Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption.
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
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      Source: UNECE Statistical Database, compiled from national official sources. Definition: Persons convicted are persons found guilty by any legal body duly authorised to do so under national law, whether the conviction was later upheld or not. .. - data not available Country: Austria Break in methodlogy (2000): Significantly reduced number of convictions between 1999 and 2000: the decline is due to diversion which is now applicable to adults in criminal law. Country: Austria Change in definition (1990): Juveniles: data refer to persons aged less than 19. Persons, who were convicted more than once in the indicated year are multiple-counted. Country: Austria Change in definition (1995 - 2001): Juveniles: data refer to persons aged less than 19. Country: Bulgaria Break in methodlogy (2000): Until 1997 data are based on the activity of the regional and district courts on penal trials of general, private and administrative character. Since 1998 the information for the activity of military courts is also included. Country: Bulgaria Break in methodlogy (2012): Since 2012 data include activities of the Special Criminal Court. Country: Canada Found guilty includes guilty of the charged offence, of an included offence, of an attempt of the charged offence, or of an attempt of an included offence. This category also includes cases where an absolute or conditional discharge has been imposed. Data refer to fiscal year (April 1 through March 31 of following year). 1995-2004: data do not cover all provinces and territories. Adult is a person of age 18+ at the time of the offence. Juvenile is a person aged 12 to 17 y.o at the time of the offence. Country: Cyprus Data refer to the Government controlled area only. Country: Cyprus Includes convictions of both serious crimes (in violation of the Penal Code) and minor offences, as well as traffic violations. Country: Czechia Change in definition (2000 - 2012): Data include not only imprisonment but also e.g. fines, ban on activity, etc. Country: Denmark Break in methodlogy (2007): From 1980 to 2006, data refer to all persons with a decision, incl. acquitted and prosecutor dropped. From 2007, data cover only those who are convicted. Country: Estonia Break in methodlogy (1990): Change in laws and methodology. Country: Finland Break in methodlogy (2000): Offences against the Road Traffic Act carrying imprisonment as penalty were transferred to the Penal code on 1 October 1999. Country: France Additional information (1995 - 2002): Amnesties (part of convictions was not registered). Country: France Change in definition (1980 - 2012): Data include DOM-TOM. Country: France Provisional value (2012): Country: Georgia Territorial change (1990 onward): Data do not cover Abkhazia AR and Tskhinvali Region. Country: Germany Territorial change (1980 - 2006): Data refer to former territory of Germany. Country: Greece Change in definition (1990 - 2004): Juveniles: persons aged up to 17 Country: Ireland Change in definition (2000 - 2002): Headline Incidents only being included. Juveniles: 16 years or younger. Country: Israel Change in definition (1980 - 1990): Convicted juvenile offenders are those tried in juvenile courts. Country: Israel Change in definition (2000 - 2012): Convicted juvenile offenders are those tried in juvenile courts. Data on persons charged in criminal trials conducted in courts of first instance, who were sentenced during a given year. Since 2000 classification as adults or as juveniles was based on the following criteria, 1) The offender`age at the time crime was committed. 2)The offender`s age at time of the indictment 3)The type of court in which the trial was held.A juvenile offender is a person who meets two out of the three criteria . All other cases are considered to be adults. Country: Israel Reference period (1980): Data refer to 1981 Country: Israel Reference period (1990): Data refer to 1989 Country: Italy Break in methodlogy (2000): Change in methodology and source Country: Italy Change in definition (1980 - 2011): Data refers to the convicted persons recorded in the Judicial Database Country: Kazakhstan Break in methodlogy (2000): Change of source as of 2000 Country: Moldova, Republic of Data exclude the territory of the Transnistria and municipality of Bender Country: Netherlands Change in definition (1990 - 2012): Data exclude persons with unknown sex and age. Country: Poland Change in definition (1980 - 1990): Juveniles: persons aged up to 16. Country: Poland Change in definition (1995 - 2012): Juveniles: persons aged up to 17. Country: Romania Convictions is equivalent to Persons convicted because there are no data regarding final convictions. Country: Serbia Territorial change (2000 onward): Data exclude territory of Kosovo and Metohija. Country: Slovenia Break in methodology (1995): Change in law. Break in methodology (2013): New amendment to the Criminal Procedure Act enabled the implementation of criminal proceedings and economized trials. This is reflected in the large increase of the number of convicted persons over the previous year. The number of convicted juveniles did not significantly increase during the same period – around 10%. Country: Spain Break in methodlogy (2008): Before 2007: different source and partial coverage. Country: Spain Change in definition (1980 - 2013): Juveniles: persons aged between 14 to 17 years. Country: Spain Change in definition (2000 - 2006): Juveniles: persons aged between 14 to 17 years. Convicted persons are partially reported by sex. Country: Sweden Change in definition (1980 onwards): Data refer to number of convictions. One person can contribute with more than one conviction during a calendar year. Includes attempts, assistance, preparation and conspiracy to commit an offence. Country: Switzerland Additional information (1990 - 1995): Data are not complete (Juvenile convictions are not available) Country: Switzerland Change in definition (1990 - 2012): Only convicted persons for felonies and misdemeanours. Country: Turkey 2005: break in series: introduction of changes in laws. 2009: break in series: change in data compilation method. Data refer to the number of sentence decisions rendered for accused persons at criminal courts in accordance with Turkish Criminal Law and special laws for 2009 and later. Total excludes judicial person, foreign national and unknown sex and age for 2009 and later. Country: Ukraine From 2014 data cover the territories under the government control. Country: United Kingdom Change in definition (2008 - onwards): For total convicted persons, male and female may not add up to total because the sex is not always recorded Country: United Kingdom Territorial change (1980): Data refer to England and Wales only. Country: United States Adults: data represent felony conviction in state and federal courts. 1995: data refer to 1994.
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
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      .. - data not available Source: UNECE Statistical Database, compiled from national official sources. Definition: Conviction is the verdict that results when a court of law finds a defendant guilty of a crime. A serious assault is an injury whereby life could be endangered, including cases of injury involving the use of dangerous instrument. Cases where instruments are used only to threaten are excluded. An assault refers to physical attack against the body of another person, including battery but excluding indecent assault. A homicide is intentional or unintentional killing. Intentional homicide is a death deliberately inflicted on a person by another person, including infanticide.Non-intentional homicide is a death not deliberately inflicted on a person by another person. That includes crime of manslaughter but excludes traffic accidents that result in a death of persons. The distinction between intentional and unintentional homicide differs from country to country, as does the definition of attempted murder. Rape is a sexual intercourse without valid consent. Robbery is a theft of property from a person, overcoming resistance by force or threat of force. Theft is any act of intentionally and unlawfully removing property belonging to another person (or organisation), excluding burglary. Drug crimes are any violation involving the illicit brokerage, cultivation, delivery (on any terms whatsoever), dispatch, dispatch in transit, distribution, extraction, exportation or importation, offering for sale, preparation, production, purchase, manufacture, sale, traffic, transportation, or use of narcotic drugs. General note: Data come from administrative data sources unless otherwise specified. Country: Albania Assault includes article 89, this change includes years 2013-2015. Theft includes all crimes against property and economic sphere, but excludes robbery. Country: Austria Break in methodlogy (2000): Significantly reduced number of convictions between 1999 and 2000: the decline is due to diversion which is now applicable to adults in criminal law. Country: Bulgaria Break in methodlogy (2000): Until 1997 data are based on the activity of the regional and district courts on penal trials of general, private and administrative character. Since 1998 the information for the activity of military courts is also included. Country: Bulgaria Break in methodlogy (2012): Since 2012 data include activities of the Special Criminal Court. Country: Canada Assault includes Level 1 Assault, Criminal Code of Canada, section 266. A common assault has been committed when an individual intentionally applies force or threatens to apply force to another person, without that person's consent. The seriousness of physical injury is what distinguishes this type of assault from other, more serious assaults. Serious assault includes assault with a weapon (Level 2, Criminal Code of Canada, section 267), aggravated assault (Level 3, Criminal Code of Canada, section 268) and other assaults (assaults against police officers, and unlawfully causing bodily harm). Homicide includes first-degree murder, second-degree murder, manslaughter and infanticide. Rape is not a recognized offence in the Criminal Code of Canada. Data reported are sexual assault (level 1), sexual assault with a weapon or bodily harm (level 2) and sexual assault aggravated (level 3). Theft includes theft over and under $5,000 as well as motor vehicle theft. Drug crime includes drug possession, trafficking, production, importing and exporting. Data refer to a fiscal year (April 1 through March 31). Data do not cover all provinces and territories. Data includes persons aged 12 y.o. or older at the time of the offence. Country: Croatia Data refer to adults serving imprisonment sentences. Country: Cyprus Data refer to the Government controlled area only. Country: Cyprus Includes convictions of both serious crimes (in violation of the Penal Code) and minor offences, as well as traffic violations. Country: Denmark Change in definition (1980 - 2012): All persons with a decision, incl. acquitted and prosecutor dropped Assault: Include serious assault and homicide Country: Denmark Only guilty decisions included. Country: Estonia Break in methodlogy (1990 - 1995): Change in laws and methodology. Country: Estonia Change in definition (1990 - 2013): Theft includes burglary. Country: Finland Break in methodology (2000): The Penal Code includes the offences against the Road Traffic Act carrying imprisonment as penalty. Country: Finland Data refer to offences against the Penal Code only. Country: France Additional information (1995 - 2002): Amnesties (part of convictions was not registered). Country: France Change in definition (1990 - 2011): Data are based on different classification of offences. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region. Country: Germany Territorial change (1980 - 2006): Data refer to former territory of Germany. Country: Greece Change in definition (1980 - 2010): Number of convictions equals to number of convicted persons (persons found definitively guilty from penal courts). Serious assault excludes fatal body injuries. Country: Iceland Data refer to convictions from the district courts. Country: Ireland 2009: break in series, change in methodology. Country: Israel Reference period (1980): Data refer to 1981 Country: Israel Reference period (1990): Data refer to 1989 Country: Italy Break in methodlogy (2000): Until 2000 data referred to the most serious crime. Series from 2000 to 2011 have been updated according to the new systems and calculating the convinctions instead of the persons convicted. Country: Italy Change in definition (1980 - 2011): Rape: convicted for misdemeanours are not included. Country: Kazakhstan Break in methodlogy (2000): Change of source as of 2000 Country: Kyrgyzstan Change in definition (2000 - onwards): Data are changed concidering the definition of the robbery. Country: Latvia Break in methodlogy (2011): Data include fraud and misappropriation on small scale Country: Latvia Change in definition (2000 - 2012): Data for theft include burglary. Country: Moldova, Republic of Territorial change (2004 onward): Data exclude the territory of the Transnistria and municipality of Bender Country: Montenegro 2001-2006: data refer to convicted adults. From 2007: data refer to convicted adults and juveniles. Assaults include serious assaults. Country: Netherlands Assaults include serious assaults. Data exclude persons with unknown sex. Country: Norway Until 2000: the total does not include convictions for misdemeanours, i.e. ticket fines and prosecutions conditionally dropped are not included. Country: Poland Data refer to adults only. Country: Romania Convictions is equivalent to Persons convicted because there are no data regarding final convictions. Country: Serbia Territorial change (2000 onward): Data exclude territory of Kosovo and Metohija. Country: Slovakia Break in methodlogy (2006): Change in criminal code. Country: Slovenia Break in methodology (1995): Change in law. Break in methodology (2013): New amendment to the Criminal Procedure Act enabled the implementation of criminal proceedings and economized trials. This is reflected in the large increase of the number of convicted persons over the previous year. The number of convicted juveniles did not significantly increase during the same period – around 10%. Country: Spain Break in methodology (2007): change in source, data include only firm convictions. Country: Spain Total could be less than sum of convictions by type as each conviction can include different crimes. Country: Sweden Break in methodlogy (2005): Break in series for convictions of Rape due to changes in legislation for sexual offenses. Country: Sweden Statistics presented refers to conviction decisions laid down by courts (first instance county court convictions) or prosecutors (prosecutor fines or waiver of prosecution). Sub groups for some years do not add up to the main level, due to missing data on gender. Attempt, preparation, being an accomplice, incitement, failure to disclose and failure to prevent offences are included in respective offence category. Drug crime does not include drug trafficking for the years 1995 and 2000. Drug trafficking is included from 2001 onwards. Country: Switzerland Change in definition (1990 - onwards): Only convicted persons for felonies and misdemeanours. Country: Turkey Break in methodlogy (2009): Change in data compilation method. Country: Turkey Change in definition (1990 - 2010): Data includes intentional and non-intentional homicide. Theft includes burglary. Country: Turkey Data refer to the number of sentence decisions rendered for accused persons at criminal courts in accordance with Turkish Criminal Law and special laws for 2009 and later. Total excludes judicial person, foreign national and unknown sex for 2009 and later. Country: Ukraine From 2014 data cover the territories under the government control. Country: United Kingdom Change in definition (2000 - onwards): Serious assault includes attempted murder. Rape includes attempted rape. Country: United Kingdom Change in definition (2008 - onwards): Male and female may not add up to total because sex is not always recorded. Country: United Kingdom Territorial change (2000 - onwards): Data refer to England and Wales. Country: United States Data represent felony convictions in State and Federal Courts. Convictions in juvenile courts are not included. Data do not distinguish between assault and serious assault. 1995: data refers to 1994.
    • 十二月 2018
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 22 二月, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 七月, 2016
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 一月, 2017
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      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 一月, 2017
      选择数据集
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 28 七月, 2016
      选择数据集
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 17 七月, 2016
      选择数据集
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 一月, 2017
      选择数据集
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • 一月 2017
      来源: Eurostat
      上传者: Knoema
      访问日期: 16 一月, 2017
      选择数据集
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications / granted to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.
    • 七月 2016
      来源: Eurostat
      上传者: Knoema
      访问日期: 17 七月, 2016
      选择数据集
      Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries. This domain provides users with data concerning patent applications to the European Patent Office - EPO, patents granted by the United States Patent and Trademark Office - USPTO and triadic patent families. EPO data refer to all patent applications by priority year as opposed to patents granted by priority year, which is the case of USPTO data.Patents reflect a country's inventive activity. Patents also show the country's capacity to exploit knowledge and translate it into potential economic gains. In this context, indicators based on patent statistics are widely used to assess the inventive performance of countries.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
    • 八月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 13 八月, 2019
      选择数据集
      Indicator is a composite index based on a combination of surveys and assessments of corruption from 13 different sources and scores and ranks countries based on how corrupt a country’s public sector is perceived to be. The sources of information used for the 2016 CPI are based on data gathered in the 24 months preceding the publication of the index. The CPI includes only sources that provide a score for a set of countries/territories and that measure perceptions of corruption in the public sector. For a country/territory to be included in the ranking, it must be included in a minimum of three of the CPI’s data sources. The CPI is published by Transparency International.
    • 一月 2019
      来源: Transparency International
      上传者: Knoema
      访问日期: 01 二月, 2019
      选择数据集
      Data cited at CORRUPTION PERCEPTIONS INDEX 2018 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/cpi2018 Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • 二月 2019
      来源: Numbeo
      上传者: Knoema
      访问日期: 05 三月, 2019
      选择数据集
      Data cited at NUMBEO Numbeo is the world’s largest database of user contributed data about cities and countries worldwide. Numbeo provides current and timely information on world living conditions including cost of living, housing indicators, health care, traffic, crime and pollution. For more information please check http://www.numbeo.com/cost-of-living/rankings_by_country.jsp   About dataset: These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • 十一月 2014
      来源: Central Agency for Public Mobilization and Statistics of Egypt
      上传者: Knoema
      访问日期: 10 十二月, 2014
      选择数据集
    • 四月 2015
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 20 八月, 2015
      选择数据集
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • 一月 2019
      来源: NYU Stern
      上传者: Knoema
      访问日期: 13 二月, 2019
      选择数据集
      Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186   This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
    • 七月 2019
      来源: Federal Financial Institutions Examination Council
      上传者: Knoema
      访问日期: 02 八月, 2019
      选择数据集
      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • 三月 2018
      来源: Statistics Finland
      上传者: Knoema
      访问日期: 29 十一月, 2018
      选择数据集
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Country of birth according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Country of birth The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Non-autonomous states are summed under their mother country. Country of birth Sudan Sudan + Former Sudan
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 15 二月, 2019
      选择数据集
      LGA2011 based data for Country Of Birth Of Person by Sex, Time Series Profiles Table t08, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      LGA2011 based data for by Sex, Basic Community Profile Table B09, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      SA1 based data for by Sex, Basic Community Profile Table B09, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 15 二月, 2019
      选择数据集
      Australia/State/SA4/SA3/SA2 based data for Country Of Birth Of Person by Sex, Time Series Profiles Table t08, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      Australia/State/SA4/SA3/SA2 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      LGA2011 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 13 二月, 2019
      选择数据集
      SA1 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • 十月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international official sources. Area data exclude overseas departments and territories. For population footnotes click here. For life expectancy footnotes click here. For fertility rate footnotes click here. For population by marital status footnotes click here. For female members of parliament footnotes click here. For female government ministers footnotes click here. For female central bank board members footnotes click here. For female tertiary students footnotes click here. For economic activity rate footnotes click here. For gender pay gap footnotes click here. For employment growth rate footnotes click here. For unemployment rate footnotes click here. For youth unemployment rate footnotes click here. For employment by economic sector footnotes click here. For economic indicator footnotes click here. For road accident footnotes click here. For total length of motorways footnotes click here. For total length of railway lines footnotes click here. Key indicators in maps .. - data not availableIndicatorGDP in agriculture (ISIC4 A): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in industry (incl. construction) (ISIC4 B-F): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in services (ISIC4 G-U): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in agriculture etc. (ISIC4 A), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in industry etc. (ISIC4 B-E), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in construction (ISIC4 F), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in trade, hospitality, transport and communication (ISIC4 G-J), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in finance and business services (ISIC4 K-N), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in public administration, education and health (ISIC4 O-Q), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in other service activities (ISIC4 R-U), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in agriculture, hunting, forestry and fishing (ISIC Rev. 4 A), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in industry and energy (ISIC Rev. 4 B-E), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in construction (ISIC Rev. 4 F), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in trade, hotels, restaurants, transport and communications (ISIC Rev. 4 G-J), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in finance, real estate and business services (ISIC Rev. 4 K-N), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in public administration, education and health (ISIC Rev. 4 O-Q), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in other service activities (ISIC Rev. 4 R-U), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.
    • 四月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 21 五月, 2018
      选择数据集
      Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • 七月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 29 七月, 2016
      选择数据集
      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • 六月 2018
      来源: Reputation Institute
      上传者: Knoema
      访问日期: 03 七月, 2018
      选择数据集
      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • 三月 2012
      来源: Knoema
      上传者: Knoema
      选择数据集
      Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 八月, 2019
      选择数据集
      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
    • 四月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 12 六月, 2019
      选择数据集
      County Population Totals: 2010-2018, U.S.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 07 五月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition: Couple: A couple is defined as a man and woman living as a married couple, a registered couple or a couple who lives in a consensual union. Two persons are considered as partners in a consensual union when they have usual residence in the same household, are not married to each other and have a marriage-like relationship to each other. Data refer to couples where both partners are in the age range 25-49. Data are reported according to the age of the youngest child of the couple. Children living outside the household are not considered. Part-time/full-time: A part-time worker is an employed person whose normal hours of work are less than those of comparable full-time workers. In most countries, the distinction between part-time and full-time work is based on self-declaration. In a few countries, work is defined as part-time when the hours usually worked are below a fixed threshold. Not working: Both inactive and unemployed persons are considered as not working. General note: Data come from the Labour Force Survey (LFS) unless otherwise specified. .. - data not available Country: Austria Break in methodlogy (2004): Break in series due to change in data collection procedure. Country: Austria Change in definition (1980): Data refer to the livelihood concept Country: Austria Reference period (1980): Data refer to 1984 Country: Austria Data below the threshold of 3 000 persons are not published, while caution should be taken in interpreting data below the threshold of 6 000 persons. Country: Belgium Break in methodology (2012): From 2012, data explicitely include couples living in a consensual union. Country: Belgium Change in definition (2005 - 2015): A child is considered as a person below 17 who lives in the household whatever the relation to the reference person may be. Country: Canada Data refer to women aged 25-49 and men aged 15+. Data for No child refers to no child under the age of 16. Child aged more than 6 refers to child aged 6 to 15. Data are annual averages. Country: Canada Data do not cover the three northern territories (Yukon, Northwest and Nunavuk) Country: Croatia Data given for 2013 onwards are calibrated according to the results of the Census 2011 and are not fully comparable with data given for previous years. Country: Denmark Change in definition (1980 - 2006): Data do not cover couples where one or both members are self employed Country: Denmark Reference period (1980): Data refer to 1986 Country: Finland Data do not include children aged 17+. Data for child aged more than 6 refers to child aged more than 7 and child aged up to 6 refers to child aged 0-6 years (including 6). Country: France Reference area: Metropolitan France. Country: Germany Break in methodlogy (2005): Until 2004, data refer to one reporting week. From 2005 data are annual average figures. Country: Greece Data refer to annual averages. Country: Hungary Change in definition (2000 - 2013): Data refer to couples where both members are in the age range 15-74. Women not working include also those on maternity leave. Couples with youngest child aged 6 refer to couples with youngest child aged 6-16. Country: Hungary Reference period (2000 - 2013): Data refer to 2nd Quarter of each year. Country: Israel Break in methodlogy (2000): In 1998: 1) Changes in the weighting method; 2) Transition to the 1995 Population Census estimates; See explanations: http://www.cbs.gov.il/www/publications/saka_change/tch_e.pdf Country: Israel Break in methodlogy (2001): Changes in the weighting method. See explanations: http://www.cbs.gov.il/www/saka_y/e_intro_f1_comparison-mimi.f Country: Israel Break in methodlogy (2009): 1) Update of the definition of the civilian labour force characteristics; 2) Transition to the 2008 Population Census estimates. See explanations: http://www.cbs.gov.il/publications11/1460/pdf/intro05_e.pdf Country: Israel Break in methodlogy (2012): 1) Transitiom from a quarterly to a monthly LFS; 2) Changes in the definitions of labour force characteristics (including compulsory and permanent military service into labour force). See explanations: http://www.cbs.gov.il/publications/labour_survey04/labour_f--orce_survey/answer_question_e_2012.pdf Country: Israel Change in definition (1995): 1) Update of the definitions of labour force characteristics; 2) Changes in the Standard Industrial Classification of Economic Activities; See explanations: http://www.cbs.gov.il/www/publications/saka_change/tch_e.pdf Country: Israel Change in definition: from 2000 data for All couples include homosexual couples and couples where one partner is working but with unknown working hours. Child aged up to 6 refers to child under the age of 5. Child aged more than 6 refers to child aged 5 to 17. Country: Israel Territorial change (1995 onwards): Data do not cover couples living in kibbutzim, in institutions and living outside localities (Bedouins in the South and others) Country: Italy Break in methodlogy (2004): From 2004, there is a break in series due to change in survey and data collection procedure (continuous survey). Country: Latvia Change in definition (2010 - 2012): Couples with youngest child aged 6 and above& 39; - youngest child aged 6-16 years. Country: Luxembourg Change in definition (2001): Data do not include couples (with or without children) living with other persons. Full-time workers are those who usually work 35 hours or more per week, part-time workers are those who usually work less than 35 hours per week. Country: Portugal Data from 2011 onwards are not directly comparable with data for the previous years due to new data collection methods used in the Portuguese Labour Force Survey series. Estimates below 2 250 individuals are not shown due to high coefficients of variation. Country: Romania Break in methodology (2002): Due to the revision of the definitions and the coverage, the data series of 2002-2012 are not perfectly comparable with data series of previous years. Break in series starting with year 2013. For years 2014 onward data were estimated using the resident population. For year 2013 data were estimated based on revised population figures (resident population) in accordance to the 2011 Census results. Country: Romania Reference period (1995): Data for 1995 refers to March 1995. Country: Spain Data refer only to children of the reference person in the household. Data are annual average of the four quarters of the year. Data include persons working abroad as full time workers. Country: Sweden Reference period (1990): Data refer to 1991. Country: Switzerland Break in methodlogy (2010): From 2010, data based on sample survey of the resident permanent population 15 years and older (part of the annual combined census). Before 2000, data based on traditional census (full field enumeration). Data for 2010 and onwards are not fully comparable with those of 2000 and earlier. Country: Switzerland From 2010 onwards the sum of the data for the different work patterns of couples does not equal the total of all couples (the sum of the percentage isn’t equal to 100%) because of missing data. Country: United Kingdom Change in definition (2000 - 2013): Data refer to & 39;couple families& 39; and not & 39;couple households& 39;. Country: United States Data refer to married couples aged 16+. Full-time workers are those who usually work 35 hours or more per week, part-time workers are those who usually work less than 35 hours per week.
    • 十二月 2015
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 18 四月, 2016
      选择数据集
      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • 八月 2019
      来源: Netherlands Bureau for Economic Policy Analysis
      上传者: Knoema
      访问日期: 25 九月, 2019
      选择数据集
      Data cited at:CPB Netherlands Bureau for Economic Policy Analysis: World Trade Monitor - https://www.cpb.nl/en/worldtrademonitor   The CPB World Trade Monitor (WTM) is an instrument for bringing together, aggregating, and summarizing worldwide monthly data on international trade and industrial production. Its purpose is to report monthly developments in trade and production at the earliest possible date, covering a sample of countries as large as possible. Country coverage is sufficient to identify monthly movements at the global level as well as at that of major economic regions. In the WTM, "trade" is trade in commodities (elsewhere referred to as "merchandise trade"). "Production" is industrial production, that is: value added in mining, manufacturing, and utilities (elsewhere referred to as "industry excluding construction")."
    • 五月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 30 九月, 2019
      选择数据集
      >>All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >>All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.   Data cited at : https://www.bis.org/statistics/index.htm
    • 十月 2019
      来源: National Bank of Belgium
      上传者: Knoema
      访问日期: 06 十月, 2019
      选择数据集
    • 十二月 2017
      来源: ESPN Cricinfo
      上传者: Knoema
      访问日期: 22 十二月, 2017
      选择数据集
      Cricket Player Statistics, 1971 - 2017 This dataset covers cricket players statistics on batting, bowling, fielding, all rounders across Test, ODI, T20 matches.
    • 十一月 2018
      来源: Texas Department of Public Safety
      上传者: Knoema
      访问日期: 10 七月, 2019
      选择数据集
      Murder and nonnegligent manslaughter, as defined in the UCR program, is the willful killing of one human being by another. This offense category includes any death resulting from a fight, argument, quarrel, assault or commission of a crime. Attempted murder and assaults with the intent to kill are not counted as murder, but are included in UCR as aggravated assaults. Suicides, accidental deaths, and justifiable homicides are also excluded from the murder classification. The classification of this offense, as well as for all Index Crimes, is based solely on police investigation and not upon determinations by courts, medical examiners, coroners, juries, or other judicial bodies.
    • 六月 2019
      来源: Numbeo
      上传者: Knoema
      访问日期: 22 七月, 2019
      选择数据集
      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • 十二月 2018
      来源: U.S. Federal Bureau of Investigation
      上传者: Knoema
      访问日期: 20 三月, 2019
      选择数据集
    • 二月 2013
      来源: RAND Corporation
      上传者: Knoema
      访问日期: 18 十一月, 2015
      选择数据集
      This report describes the results of a study of the sources and reliability of the supply of imported materials on which United States manufacturers are dependent. It should be of interest to a broad spectrum of individuals and organizations in the materials and manufacturing sectors as well as government, private sector, and non-profit organizations involved with or concerned about those sectors. This research was sponsored by the National Intelligence Council and conducted within the Intelligence Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelligence Community
    • 九月 2019
      来源: Petroleum Association of Japan
      上传者: Knoema
      访问日期: 13 九月, 2019
      选择数据集
      Japan: Crude Oil/Petroleum Products Import (Amount in Yen), Monthly Update
    • 三月 2019
      来源: European Commission
      上传者: Knoema
      访问日期: 26 四月, 2019
      选择数据集
      Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data
    • 九月 2019
      来源: U.S. Energy Information Administration
      上传者: Knoema
      访问日期: 30 九月, 2019
      选择数据集
    • 十二月 2018
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from organic soils under cropland (item: Cropland organic soils) and grassland (item: Grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
    • 三月 2019
      来源: National Statistical Committee, Kyrgyz Republic
      上传者: Knoema
      访问日期: 01 四月, 2019
      选择数据集
    • 十二月 2018
      来源: European Commission
      上传者: Shakthi Krishnan
      访问日期: 02 四月, 2019
      选择数据集
      The European Commission provides statistics on EU crude oil imports and crude oil supply costs.
    • 二月 2019
      来源: Pan American Health Organization
      上传者: Knoema
      访问日期: 08 二月, 2019
      选择数据集
      1. Incidence rate (autochthonous suspected + autochthonous confirmed) / 100,000 population. 2. Deaths among Zika cases do not include deaths related to Guillain-Barré syndrome (GBS) or congenital malformations associated with Zika virus infection. As of 12 May 2016, previously reported deaths related to GBS were removed from this total. 3. Confirmed congenital syndrome associated with Zika virus infection case definition: Live newborn who meets the criteria for a suspected case of congenital syndrome associated with Zika virus AND Zika virus infection was detected in specimens of the newborn, regardless of detection of other pathogens
    • 六月 2019
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 11 六月, 2019
      选择数据集
      This table shows exchange rates for currencies used in over 190 world economies presented in a cross rates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
    • 九月 2019
      来源: Statistics Finland
      上传者: Knoema
      访问日期: 20 九月, 2019
      选择数据集
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Current account by country breakdown http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__mata/statfin_mata_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ The releases for September, October and November had an error in the figures for primary income in 2013 and 2014. There was also an error in the flow data on foreign assets and liabilities for 2015. The error was corrected in the December release on 14 December 2018. The statistics become final more than two years after the end of the reference year. Revisions in these statistics Description Methodological descriptions Concepts and definitions
    • 九月 2018
      来源: Statistics Finland
      上传者: Knoema
      访问日期: 29 十一月, 2018
      选择数据集
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 010 -- External assets and liabilities by investment type and sectors, stock http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__mata/statfin_mata_pxt_010.px License: http://creativecommons.org/licenses/by/4.0/ The statistics become final more than two years after the end of the reference year. Revisions in these statistics Description Methodological descriptions Concepts and definitions
    • 十一月 2018
      来源: U.S. Centers for Disease Control and Prevention
      上传者: Knoema
      访问日期: 30 一月, 2019
      选择数据集
      Currently uninsured persons under age 65, by selected reasons for no health insurance coverage and by selected characteristics: United States
  • D
    • 三月 2019
      来源: Statistics Denmark
      上传者: Knoema
      访问日期: 10 四月, 2019
      选择数据集
    • 六月 2018
      来源: Bank of Canada
      上传者: Knoema
      访问日期: 18 六月, 2019
      选择数据集
      The Bank of Canada’s Credit Rating Assessment Group (CRAG) comprehensive database of sovereign defaults draws on previously published data sets compiled by various official and private sector sources. It combines elements of these, together with new information, to develop estimates of stocks of government obligations in default, including bonds and other marketable securities, bank loans, and official loans in default, valued in U.S. dollars, for the years 1960 to 2016 on both a country-by-country and a global basis. This update of CRAG’s database, and subsequent updates, will be useful to researchers analyzing the economic and financial effects of individual sovereign defaults and, importantly, the impact on global financial stability of episodes involving multiple sovereign defaults.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 四月, 2019
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 九月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 24 九月, 2019
      选择数据集
      Days lost due to temporary incapacity refers to the total number of calendar days during which those persons temporarily incapacitated were unable to work, excluding the day of the accident, up to a maximum of one year. Temporary absences from work of less than one day for medical treatment are not included.
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      Time lost per occupational injury is defined as the average number of calendar days lost per new cases of non-fatal occupational injury resulting in temporary incapacity.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      Days not worked as a result of strikes and lockouts represent the total number of working days not worked as a result of strikes and lockouts in progress during the year. It is measured in terms of the sum of the actual working days during which work would normally have been carried out by each worker involved had there been no stoppage. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 七月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 01 八月, 2019
      选择数据集
      Translates the average number of days not worked because of strikes and lock-out per 1000 workers.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 13 十月, 2019
      选择数据集
      Rates of days not worked due to strikes and lockouts represent the severity rates of strikes and lockouts, calculated in terms of the number of days not worked per 1'000 workers, unless otherwise stated in the notes. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 五月 2018
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 21 十一月, 2018
      选择数据集
      .. - data not available Source: UNECE Statistical Division Database, compiled from national and international (WHO European health for all database) official sources. Definitions: The (age-) standardized death rate (SDR) is a weighted average of age-specific mortality rates per 100 000 population. The weighting factor is the age distribution of a standard reference population. The standard reference population used is the European standard population as defined by the World Health Organisation (WHO). As method for standardisation, the direct method is applied. As most causes of death vary significantly with age and sex, the use of standardised death rates improves comparability over time and between countries. Death refers to the permanent disappearance of all evidence of life at any time after a live birth has taken place (post-natal cessation of vital functions without capability of resuscitation). This definition therefore excludes foetal deaths. Causes of death (CoD) are all diseases, morbid conditions or injuries that either resulted in or contributed to death, and the circumstances of the accident or violence that produced any such injuries. Symptoms or modes of dying, such as heart failure or asthenia, are not considered to be causes of death for vital statistics purposes. General note:: Diseases and external causes of death are coded differently in different versions of the International Classification of Diseases (ICD). For many diseases it is not possible to identify codes in different classification systems that would correspond precisely to the same disease or groups of diseases. Often the change in the trend of a certain cause-specific mortality rate may be the result of a changing ICD version or national death certification and coding practices, rather than an actual change in the mortality. It should be noted that mortality rates for some countries may be biased due to the under-registration of death cases. The basic principle of selection of the 17 CoD for presentation in the UNECE Gender Database is to include one main SDR for each of the ICD chapters and also to focus on some of the leading CoD across the European Region and some specific causes with high gender differences. ICD versionCountries9.3 - ICD-9 3-digit codes Albania, The former Yugoslav Republic of Macedonia 9.4 - ICD-9 4-digit or mixture of 3- and 4-digit codesGreece9.5 - ICD-9 BTL codes (in most countries actually original ICD-9 codes were used but the data later were converted by WHO into BTL codes) Bosnia and Herzegovina10.1 - ICD-10 mortality tabulation condensed list No1 (103 causes) Armenia, Azerbaijan, Belarus, Kazakhstan, Russian Federation, Ukraine10.3 - ICD-10 3-digit codes Belgium, Bulgaria, Estonia, Georgia, Latvia, Montenegro, Serbia, Slovakia, Slovenia, Uzbekistan10.4 - ICD-10 4-digit or mixture of 3- and 4-digit codes Austria, Canada, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Hungary, Iceland, Ireland, Israel, Italy, Kyrgyzstan, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Romania, Spain, Sweden, Switzerland, United Kingdom, United States 1.75 - Special tabulation list of 175 causes used in some ex-USSR countries Tajikistan, Turkmenistan Link to International Classification of Diseases 10th Revision Country: Canada Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents. Data on suicide and intentional self-harm include sequelae of intentional self-harm. Country: United States Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents.
    • 五月 2016
      来源: The PEW Charitable Trusts
      上传者: Knoema
      访问日期: 25 四月, 2017
      选择数据集
      Debt and state personal income are based on calendar years; pension and retiree health care data are based on states’ own fiscal years. Retiree health care data are reported since 2010 because states only began publishing the plans’ unfunded obligations in 2008, and states were still adjusting to the new reporting standards in the first two years. Pension data are reported since 2003 because it is the first year for which Pew collected data. The size of a state’s liability is expressed as a percentage of personal income. But when expressing how much a state’s liability has changed, such as between 2003 and 2013, the difference between those percentages is measured in percentage points, not percent. Dollar values are rounded to the nearest thousand. Obligations as a share of state personal income are rounded to the nearest tenth of a percent. Obligations as a share of personal income may not always sum due to rounding.
    • 九月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 30 九月, 2019
      选择数据集
      Data cited at : https://www.bis.org/statistics/index.htm
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 09 七月, 2019
      选择数据集
      This dataset contains three earnings-dispersion measures - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where ninth, fifth (or median) and first deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees. The dataset also includes series on: the incidence of low-paid workers defined as the share of full-time workers earning less than two-thirds of gross median earnings of all full-time workers; the incidence of high of high-paid workers defined as the share of full-time workers earning more than one-and-half time gross median earnings of all full-time workers; gender wage gap unadjusted and defined as the difference between median wages of men and women relative to the median wages of men.
    • 六月 2019
      来源: North Atlantic Treaty Organization
      上传者: Knoema
      访问日期: 23 九月, 2019
      选择数据集
      Notes: Figures for 2018 and 2019 are estimates. The NATO Europe and NATO Total aggregates from 2017 include Montenegro, which became an Ally on 5 June 2017
    • 一月 2019
      来源: AIRBUS
      上传者: Knoema
      访问日期: 24 一月, 2019
      选择数据集
      Defense Aircraft Summary
    • 六月 2019
      来源: United Nations Statistics Division
      上传者: Knoema
      访问日期: 02 六月, 2019
      选择数据集
      The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses' datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UNdata. This latest update includes several datasets on international travel and migration inflows and outflows, and on incoming and departing international migrants by several characteristics, as reported by the national authorities to the UN Statistics Division for the reference years 2010 to the present as available.
    • 三月 2017
      来源: U.S. Department of Veterans Affairs
      上传者: Knoema
      访问日期: 07 六月, 2017
      选择数据集
      Department of Veterans Affairs-Population, 2016
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 10 十月, 2019
      选择数据集
      The objective of this dataset is to trace net changes in terms of volume in the growing stock of standing wood on forest land. It shows data underlying the indicator on the intensity of use of forest resources. This indicator relates actual fellings to annual productive capacity (i.e. gross increment). Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators of the OECD Core Set, in particular with indicators on land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. In interpreting these data, it should be borne in mind that definitions and estimation methods vary among countries.
    • 二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 01 三月, 2019
      选择数据集
      As a consequence of the implementation of the new OECD Global Insurance Statistics' framework, there is a break in series between 2008 and 2009 regarding life and non-life business datawhere composite insurance undertakings exist. Up until 2008, the insurance business is broken down between life and non-life business. As of 2009, the insurance business is broken down between the business of pure life, pure non-life and composite undertakings and composite undertakings' business is further broken down between life and non-life business. Some countries do not allow for insurance undertakings to be active in both life and non-life insurance business and therefore composite insurance undertakings do not exist in these countries. In other countries (e.g., Austria, Belgium, Hungary, Italy, Mexico, Portugal, Spain) however, the share of employment in composite insurance undertakings accounts for more than half of the whole domestic insurance sector. Therefore, to have comparable data across years for life business data (resp. non-life), one has to sum up the life (resp. non-life) business of pure life (resp. non-life) undertakings and the life (resp. non-life) business of composite undertakings as of 2009. Click to collapse Item coverage Outstanding investment by direct insurance companies, classified by investment category, by the companies' nationality and by its destination (domestic or foreign). As of 2009, investment data exclude assets linked to unit-linked products sold to policyholders.
    • 四月 2019
      来源: National Highway Traffic Safety Administration
      上传者: Knoema
      访问日期: 25 四月, 2019
      选择数据集
      Fatality Analysis Reporting System (FARS)
    • 四月 2019
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 14 六月, 2019
      选择数据集
      This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and future scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
    • 一月 2018
      来源: The Fletcher School,Tufts University
      上传者: Knoema
      访问日期: 30 八月, 2018
      选择数据集
      The DEI 2017 is a data-driven holistic evaluation of the progress of the digital economy across 60 countries, combining more than 100 different indicators across four key drivers: Supply Conditions, Demand Conditions, Institutional Environment, and Innovation and Change. The resulting framework captures both the state and rate of digital evolution and identifies implications for investment, innovation, and policy priorities. DEI 2017 also highlights the evolving nature of the risks being created by our continuing reliance on digital technology. Towards this end, the study covers a key question of “digital trust.“ The DEI 2017 incorporates a newly devised analysis of digital trust that takes into account the trustworthiness of the digital environment for each country; the quality of users’ experience; attitudes towards key institutions and organizations; and users’ behavior when they interact with the digital world. This subject is of great interest to all participants in the digital economy, given the concerns about security of essential information, cyber-attacks, and consumers’ apprehensions—about the digital systems and their reliability, the digital companies and their growing dominance, and about the leaders of digital companies. The DEI framework segments the 60 countries into Stand Outs, Stall Outs, Break Outs and Watch Outs. Three countries are notable as standouts even within the Stand Out segment: Singapore, New Zealand, and the UAE. Each has a unique policy-led digital strategy and a narrative that may be considered by other nations as worthy of emulation or adoption. The Nordic countries and Switzerland are at the top of the DEI 2017 rankings. China, once again, tops the list of countries in terms of the pace of change in its digital evolution, or momentum.
    • 十二月 2007
      来源: International Telecommunication Union
      上传者: Knoema
      访问日期: 23 五月, 2019
      选择数据集
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.