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新西兰

  • Governor General:Dame Patsy Reddy
  • 首相:Jacinda Ardern
  • 首都:Wellington
  • 语言:English (de facto official) 89.8%, Maori (de jure official) 3.5%, Samoan 2%, Hindi 1.6%, French 1.2%, Northern Chinese 1.2%, Yue 1%, other or not stated 20.5%, New Zealand Sign Language (de jure official) note: shares sum to 120.8% due to multiple responses on census (2013 est.)
  • 政府
  • 国家统计局
  • 人口,人口:4,885,500 (2018)
  • 面积,平方公里:263,310
  • 人均国内生产总值,美元:41,966 (2018)
  • GDP,目前美元十亿美元:205.0 (2018)
  • 基尼系数:No data
  • 经商容易度排名:1

Bilateral

所有数据集:  A B C D E F G H I L M N O P Q R S T U W
  • A
    • 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.
    • 四月 2014
      来源: United Nations COMTRADE
      上传者: Knoema
      访问日期: 16 四月, 2014
      选择数据集
      Angola trade with selected countries by commodity 04 HS, 2013
  • B
    • 六月 2019
      来源: U.S. Department of Agriculture
      上传者: Sandeep Reddy
      访问日期: 10 六月, 2019
      选择数据集
      Sugar Data of United States
    • 四月 2014
      来源: United Nations Conference on Trade and Development
      上传者: Sandeep Reddy
      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
    • 十月 2019
      来源: United Nations COMTRADE
      上传者: Knoema
      访问日期: 18 十月, 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).
  • C
    • 十一月 2019
      来源: Government of Canada
      上传者: Knoema
      访问日期: 04 十一月, 2019
      选择数据集
      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 2019
      来源: Statistics Canada
      上传者: Knoema
      访问日期: 04 十一月, 2019
      选择数据集
      For the location "Puerto Rico" data is available from 1990.
    • 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.
    • 八月 2019
      来源: Bank for International Settlements
      上传者: Sandeep Reddy
      访问日期: 26 八月, 2019
      选择数据集
      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
    • 十月 2019
      来源: Bank for International Settlements
      上传者: Knoema
      访问日期: 28 十月, 2019
      选择数据集
      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
    • 十二月 2018
      来源: International Monetary Fund
      上传者: Knoema
      访问日期: 22 二月, 2019
      选择数据集
      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).
    • 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
    • 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 2019
      来源: United Nations Conference on Trade and Development
      上传者: Sandeep Reddy
      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.
  • D
    • 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 OECD Digital STRI heterogeneity indices complement the recently published Digital STRI's and presents indices of regulatory heterogeneity based on the rich information in the Digital STRI regulatory database. The indices are built from assessing – for each country pair and each measure – whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.
  • E
  • F
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 17 四月, 2019
      选择数据集
    • 二月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 26 六月, 2018
      选择数据集
      FDI data are based on statistics provided by 35 OECD member countries and by Lithuania. BMD4: OECD Benchmark Definition of Foreign Direct Investment - 4th Edition
    • 三月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 05 三月, 2019
      选择数据集
    • 三月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 05 三月, 2019
      选择数据集
    • 六月 2018
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 02 七月, 2018
      选择数据集
    • 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
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 09 十月, 2019
      选择数据集
      The dataset Fisheries International collaboration in technology development (bilateral) provides the number of co-inventions (simple patent families) developed jointly by at least two inventors. This indicator is disaggregated by: Country - country of residence of the inventor(s), integral counted; in cases when inventors from more than two countries collaborate, this is translated into distinct bilateral relationships between country pairs. For example, if inventors from 3 countries collaborate (e.g. USA, DEU, JPN) then a unit count is assigned to 6 country pairs (USA-DEU, USA-JPN, DEU-JPN, DEU-USA, JPN-USA, JPN-DEU); in this case a country generally coordinate the project and the others are partners. Partner – country of residence of the inventor(s) who collaborate to the patent. Technology domain – the three main areas of innovation in fisheries and aquaculture, related to technology development. In detail: 1. Harvesting technology such as more effective ways to find or harvest fish and which are typically associated with improvements in catch per unit of effort (e.g. type/size of vessels and their methods of propulsion, search technologies, method of catching or harvesting fish and bringing them on board); 2.Aquaculture technology such as methods to more effectively grow fish in captivity (innovation in feeds, improving the health of aquaculture animals, etc.); 3. New products and markets such as the development of new fish products and markets (food technologies/processing such as the development of surimi as a crabmeat substitute) and the improvement of market access (secure or enlarge markets for fish products) that provides important incentives for green growth (e.g. eco-certification with fishers adopting by-catch saving technologies or modifying fishing practices and/or territorial user rights in fisheries).
    • 九月 2017
      来源: United Nations World Food Programme
      上传者: Knoema
      访问日期: 21 十二月, 2017
      选择数据集
      IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • 九月 2017
      来源: United Nations World Food Programme
      上传者: Knoema
      访问日期: 21 十二月, 2017
      选择数据集
      The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • 九月 2017
      来源: United Nations World Food Programme
      上传者: Knoema
      访问日期: 21 十二月, 2017
      选择数据集
      IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • 九月 2014
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 04 十月, 2014
      选择数据集
      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • 五月 2019
      来源: Open Data Platform, Mexico
      上传者: Knoema
      访问日期: 14 六月, 2019
      选择数据集
      Foreign Direct Investment (FDI) flows to Mexico, by country of origin, type of investment, economic sector and by state, by economic activity destination. FDI as a percentage of gross fixed capital formation. Unit: USD millions. Frequency: Quarterly. 1999-2018.
    • 四月 2019
      来源: National Statistical Office of Mongolia
      上传者: Knoema
      访问日期: 31 十月, 2019
      选择数据集
      Direct investment arises when an investor resident in one economy makes an investment that gives control or a significant degree of influence on the management of an enterprise that is resident in another economy. Portfolio investment is defined as cross border transactions and positions involving debt or equity securities, other than those included in direct investment or reserve assets.
    • 四月 2019
      来源: National Statistical Office of Mongolia
      上传者: Knoema
      访问日期: 31 十月, 2019
      选择数据集
      Direct investment arises when an investor resident in one economy makes an investment that gives control or a significant degree of influence on the management of an enterprise that is resident in another economy. FDI net inflows are the value of inward direct investment made by non-resident investors in the reporting economy
    • 六月 2019
      来源: Ministry of Finance, R.O.C. (Taiwan)
      上传者: Sandeep Reddy
      访问日期: 27 六月, 2019
      选择数据集
      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.   2019 values are year to date
    • 十一月 2019
      来源: U.S. Census Bureau
      上传者: Sandeep Reddy
      访问日期: 08 十一月, 2019
      选择数据集
    • 五月 2018
      来源: World Trade Organization
      上传者: Knoema
      访问日期: 23 四月, 2019
      选择数据集
      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • 十二月 2018
      来源: National Institute of Statistics of Djibouti
      上传者: Knoema
      访问日期: 13 九月, 2019
      选择数据集
      Foreign Trade of Djibouti
    • 十一月 2018
      来源: Federal Competitiveness and Statistics Authority, United Arab Emirates
      上传者: Knoema
      访问日期: 13 十一月, 2018
      选择数据集
      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 24 十月, 2019
      选择数据集
    • 六月 2019
      来源: Food and Agriculture Organization
      上传者: Knoema
      访问日期: 26 六月, 2019
      选择数据集
  • G
    • 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
    • 二月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 27 二月, 2019
      选择数据集
      Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.
    • 七月 2011
      来源: World Bank
      上传者: Sandeep Reddy
      访问日期: 21 九月, 2017
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • 十月 2018
      来源: World Bank
      上传者: Knoema
      访问日期: 14 十一月, 2018
      选择数据集
      Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.  The dataset help us to know about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.
    • 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
      This dataset contains the number of people who graduated from an education programme by field and sex.
    • 四月 2018
      来源: Global Trade Alert
      上传者: Knoema
      访问日期: 16 五月, 2019
      选择数据集
      Global Trade Alert - Trade Coverage Estimates   Data Cited at: https://www.globaltradealert.org
  • H
  • I
    • 一月 2008
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 22 九月, 2014
      选择数据集
      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System. The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • 三月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 十一月, 2017
      选择数据集
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • 三月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 08 十一月, 2017
      选择数据集
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • 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 sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • 七月 2015
      来源: National Institute of Statistics, Honduras
      上传者: Knoema
      访问日期: 17 六月, 2016
      选择数据集
    • 十一月 2018
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 16 十一月, 2018
      选择数据集
    • 七月 2014
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 04 八月, 2014
      选择数据集
      The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 15 十月, 2019
      选择数据集
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 24 十月, 2019
      选择数据集
    • 五月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 28 五月, 2019
      选择数据集
      Inflow of migrants refer to the number of immigrants who changed their country of usual residence during the reference period. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by sex and country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 24 十月, 2019
      选择数据集
      Inflow of return migrants refers to the number of migrants who returned from a period of residence abroad to live again in their country of citizenship (or country of birth, depending on the context). Data are disaggregated by sex and previous country of residence, that is, the country where they resided prior to their return.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 24 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: 10 十月, 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 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 Covers business written abroad by branches, agencies and subsidiaries established abroad of domestic undertakings and includes all business written outside the country by these entities (in both OECD and non-OECD countries).
    • 十月 2019
      来源: U.S. Energy Information Administration
      上传者: Knoema
      访问日期: 10 十月, 2019
      选择数据集
    • 十二月 2018
      来源: International Federation of Association Football
      上传者: Knoema
      访问日期: 20 二月, 2019
      选择数据集
      FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.
    • 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
      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • 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
      Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
    • 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
      This indicator reports the percentage of students of each country of origin over the total of international students.
    • 六月 2017
      来源: World Bank
      上传者: Knoema
      访问日期: 30 十月, 2018
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: ESCAP-World Bank: International Trade Costs Publication: https://datacatalog.worldbank.org/dataset/escap-world-bank-international-trade-costs License: http://creativecommons.org/licenses/by/4.0/   The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.
    • 六月 2013
      来源: World Integrated Trade Solution
      上传者: Sandeep Reddy
      访问日期: 04 一月, 2019
      选择数据集
      The dataset provides a consolidated and reconciled version of multiple sources of bilateral trade data. Its advantages over the original source data are that it provides broader coverage based on mirror flows, reconciliation of aggregate with underlying flows, and consolidation (allowing for broader coverage than offered by source data). One weakness, inherent in all available data of this type, is that even with mirror flows, a substantial share of South-South trade is unreported. As such, while we can recover North-South exports from mirror flows, we cannot recover all unreported bilateral flows. The scale of the problem can be gauged by comparing trade with the world with bilateral flows in the database. Notes: • values are in millions of current US dollars • Because of the apparent mixing of zero and missing by source agencies, we have opted to use missing, or “.”, for reported zero and missing flows. • total with world is the greater of reported total with world, or aggregate of bilateral flows • region XWD holds difference between all bilateral flows and global (trade with world) total. It is the sum of flows with missing partners. This means XWD holds identified flows without a partner. It does not hold flows that are totally unreported. • all unreported REP:PAR:BOP:YEAR combinations, meaning that do not even appear in the dataset, can be safely assumed to be missing. By this, we mean there is no reported source for these flows, and the countries-product-year combination does not even occur in any of the underlying source data.
    • 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
      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • 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
      The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • 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
  • L
    • 十月 2018
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 21 一月, 2019
      选择数据集
      The dataset presents the liner shipping bilateral connectivity index (LSBCI), which indicates a country pair's integration level into global liner shipping networks. The LSBCI is an extension of UNCTAD’s country-level Liner Shipping Connectivity Index (LSCI) and based on a proper bilateralization transformation.  
  • M
    • 七月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 23 七月, 2019
      选择数据集
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • 一月 2015
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 23 四月, 2015
      选择数据集
      This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
    • 七月 2019
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 10 十月, 2019
      选择数据集
      Merchandise trade matrix - detailed products, exports and imports in thousands of United States dollars, Annual This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
    • 十月 2019
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 04 十一月, 2019
      选择数据集
    • 七月 2019
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 17 九月, 2019
      选择数据集
      This Dataset presents merchandise trade by trading partner and product based on the SITC commodity classification, Revision 3, at the one- and two-digit level, expressed in thousands of United States dollars. The data are also summarized by group of economies, for both reporting economy and trading partner, and by broader product groups.
    • 七月 2018
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 31 一月, 2019
      选择数据集
      The dataset provides information on the ownership of the merchant fleet for all countries. "Ownership” refers to “Beneficial Ownership Location”: it indicates the economy in which the company that has the main commercial responsibility for the vessel is located. The economy of beneficial ownership may be different from the country in which the vessel is registered.
    • 五月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 28 五月, 2019
      选择数据集
      Migrants comprise individuals who changed their country of usual residence. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • 二月 2019
      来源: National Institute of Statistics, Italy
      上传者: Knoema
      访问日期: 01 三月, 2019
      选择数据集
      Data source(s) used: Persons registered in and cancelled from the population register due to change of residence:The English description of the source is not available at this time, for methodological details go to the Siqual system
  • N
    • 四月 2019
      来源: Statistics Sweden
      上传者: Knoema
      访问日期: 10 四月, 2019
      选择数据集
      Nights spent. All hotels, holiday villages, hostels, camping sites, commercially arranged private cottages and apartments by region/county Year 2008 - 2017Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.region0010 Greater StockholmCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.0020 Greater GothenburgCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.0030 Greater MalmöCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.0060 Sweden excluding metropolitan areasCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.
    • 十一月 2019
      来源: Statistics Sweden
      上传者: Knoema
      访问日期: 06 十一月, 2019
      选择数据集
      Nights spent of all hotels, holiday villages, youth hostels, camping sites and commercially arranged private cottages and apartments by region/county and by country of residence. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.As of January 2011 camping grounds are presented as the same country of residence as other types of establishments.regionCommercially arranged private cottages and apartments are not included in regions and other Sweden excluding metropolitan areas.country of residenceCountry of residence refers to the country where the guest, regardless of citizenship, resides permanently (more than 12 months). A Swedish citizen residing abroad is thus presented as a guest from the country of residence.
    • 十月 2019
      来源: International Labour Organization
      上传者: Knoema
      访问日期: 24 十月, 2019
      选择数据集
    • 八月 2019
      来源: Statistics Canada
      上传者: Knoema
      访问日期: 01 十一月, 2019
      选择数据集
    • 八月 2019
      来源: Statistics Canada
      上传者: Knoema
      访问日期: 01 十一月, 2019
      选择数据集
    • 四月 2018
      来源: Statistics Norway
      上传者: Knoema
      访问日期: 03 四月, 2019
      选择数据集
      Major change in coverage in 2011. Consult About the statistics Only vessels at or above 1 000 gross tonnage. No fishing vessels.
    • 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
      This dataset contains the number of people who graduated from an education programme by age and sex.
  • O
    • 十月 2018
      来源: National Centre for Statistics and Information, Oman
      上传者: Knoema
      访问日期: 22 十月, 2018
      选择数据集
      Data is given on number of visitors to museums and castles as per tourist location and category of visitors. Data is also given on hotel services indicating the number of guests \ classified by hotel, Governorate, type of hotel, guest nationality, hotel revenue and class according to the type of service it provides.
    • 五月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 29 五月, 2019
      选择数据集
      Other official flows are official sector transactions which do not meet the ODA criteria, e.g.:  i.) Grants to developing countries for representational or essentially commercial purposes;  ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent;  iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits");  iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms;  v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)];  vi.) Funds in support of private investment.
    • 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
    • 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
      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • 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
      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing sector or in the total business sector. The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • 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
  • P
    • 十二月 2018
      来源: World Intellectual Property Organization
      上传者: Knoema
      访问日期: 11 十二月, 2018
      选择数据集
      Data cited at: "WIPO statistics database" which is made available under a BY 3.0 IGO License   Total Patent Applications Total Count by Applicant's Origin Zaire, officially the Republic of Zaire, was the name of Democratic Republic of the Congo between 1971 and 1997.
    • 四月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Sandeep Reddy
      访问日期: 01 八月, 2019
      选择数据集
      Private transactions are those undertaken by firms and individuals resident in the reporting country.
  • Q
    • 十二月 2013
      来源: United Nations World Food Programme
      上传者: Sandeep Reddy
      访问日期: 03 十月, 2017
      选择数据集
      Quantity Reporting: Measure food aid deliveries in metric tons
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 06 八月, 2019
      选择数据集
      OECD has extracted monthly trade data from the UN Monthly Comtrade database, and aggregates the quarterly and annual frequencies by summing up the months. This may create discrepancies with annual trade figures as presented in International Trade by Commodity Statistics (ITCS). UN Monthly Comtrade (beta version) contains detailed merchandise trade data provided by countries (or areas) to the United Nations Statistics Division, Department of Economic and Social Affairs (UNSD/DESA). Values are expressed in United States dollars (USD) and refer to declared transaction values. All exports are valued f.o.b. (free on board) and imports are valued c.i.f. (including cost, insurance, freight), except the imports of Canada and Mexico which are valued f.o.b. Detailed country metadata (currency conversion rates, information in HS classifications and data publication dates) can be found from the metadata file at the UN Monthly Comtrade website under the heading Metadata.
  • R
    • 一月 2018
      来源: World Bank
      上传者: Knoema
      访问日期: 28 二月, 2018
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Remittance Prices Worldwide Publication: https://datacatalog.worldbank.org/dataset/remittance-prices-worldwide License: http://creativecommons.org/licenses/by/4.0/   Provides data on the cost of sending and receiving relatively small amounts of money from one country to another. Data cover 365 "country corridors" worldwide, from 48 remittance sending countries to 105 receiving countries.
  • S
    • 一月 2018
      来源: National Science Foundation
      上传者: Knoema
      访问日期: 01 二月, 2018
      选择数据集
      Courtesy: National Science Foundation
    • 五月 2019
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 06 八月, 2019
      选择数据集
      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC). The figures are shown in four different measures:millions of United States dollarspercentages of the world totalannual percentage changes (growth rates)shares of each service category in total services.   Sources: UNCTAD, WTO and ITC secretariats’ calculations, based on:IMF, Balance of Payments StatisticsEurostat, online databaseOECD, OECD.StatUN DESA Statistics Division, UN Service Trade Statistical DatabaseOther international and national sourcesUNCTAD-WTO estimates.
    • 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
      The SIGI is built on 27 innovative variables measuring discriminatory social institutions, which are grouped into 4 dimensions: discrimination in the family, restricted physical integrity, restricted access to productive and financial resources, and restricted civil liberties.Lower values indicate lower levels of discrimination in social institutions: the SIGI ranges from 0% for no discrimination to 100% for very high discrimination.
    • 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
      The OECD STRI heterogeneity indices complement the existing STRI's and presents indices of regulatory heterogeneity based on the rich information in the STRI regulatory database. The indices are built from assessing – for each country pair and each measure – whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.
    • 五月 2018
      来源: Suriname Tourism Foundation
      上传者: Knoema
      访问日期: 03 七月, 2018
      选择数据集
      Location:-Visitors are coming from mentioned location.(World is total of all visitors) Nationality:-Nationality of visitors, whether the nationality of the visitors is same as the location or they belong to different nationality.(Under this dimension "Total" represents total number of visitors by their nationality) Ports:-Tourist arrival via ports.
    • 六月 2016
      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
    • 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
      Survey on Monitoring the Paris Declaration. The dataset contains data as reported by donors and national co-ordinators in participating partner countries. The dataset includes all quantitative data collected through the 2006, 2008 and 2011 Surveys.
  • T
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 14 六月, 2019
      选择数据集
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 25 六月, 2019
      选择数据集
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Tajikistan Data source: 2000, 2010 - population and housing census; 2011-2014 - source unspecified. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 01 七月, 2019
      选择数据集
      The total for ''All countries'' includes persons for whom the country of previous residence is unknown.UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia In 2001 and 2011 the registered data refer to the date of conducting the Population Census and the number exceeds the total foreign population living in Armenia. Data from 2014 onwards are based on administrative sources. Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: 2009 - population and housing census; 2010 and onwards - residence permits. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. In 2011 and 2012, the full break down by age and sex is not available for some countries of previous residence. The total flow from each country of previous residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine 2001 data include all those who have ever moved. Data source: 2001 - population and housing census; 2011, 2012 - residence permits. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 25 六月, 2019
      选择数据集
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. The total for ''All countries'' includes persons for whom the country of next residence is unknown. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: exit permits. Country: Kyrgyzstan For a number of persons the information on the country of next residence is missing in the source. Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. In 2011 and 2012, the full break down by age and sex is not available for some countries of next residence. The total flow from each country of next residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine Data source: administrative source. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 14 六月, 2019
      选择数据集
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained a permanent residence permit in Azerbaijan. Azer citizens returning from abroad are not included in the total number. Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. Data source: administrative source. Country: Ukraine Data source: 2001 - population and housing census; 2011, 2012 - residence permits.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 14 六月, 2019
      选择数据集
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained an exit permit in Azerbaijan. Azer citizens are not included in the total number. Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. Data source: administrative source. Country: Ukraine Data source: administrative source.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 25 六月, 2019
      选择数据集
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: administrative source. Country: Georgia Data source: civil register. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation Data source: administrative source. Country: Ukraine Data source: administrative source.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 25 六月, 2019
      选择数据集
      The UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA), established with the purpose of improving the understanding of migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Moldova, Republic of Data source: population register. Country: Tajikistan Disaggregation by sex is only available for people who immigrated for work purposes. Data source: work permits.
    • 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
      Because of the limited availability of official statistics on national supply-use and input-output tables in recent years – reflecting the fact that these are only typically available at best two or three years after the reference period to which they refer – TiVA indicators for the most recent years, as displayed in this dataset, are estimated using now-casting techniques. The approach (described in more detail in the accompanying methodological note) in essence estimates national input-output tables by projecting relationships observed in the latest TiVA benchmark year (currently 2011) into nowcast years (currently 2012-2014) but constrained to official estimates of gross output and value-added by industry and national accounts main aggregates of demand and trade, and supplemented by bilateral trade statistics, all of which are available throughout the nowcast period. Importantly, the projections of relationships in 2011 into 2012 are determined using a volume approach, to account for possible distortions that might be introduced – by for example differential price movements in imports and domestic production – if projections were made using nominal relationships. These estimates are then reflated into current prices, and simultaneously balanced – consistent with official volume and current price estimates of trade, demand and activity – to arrive at a balanced national input-output table in 2012, in nominal terms as well as in prices of 2011. Estimates for 2013 and 2014 are calculated in the same manner but using, respectively, the 2012 and 2013 relationships as the starting point.
    • 五月 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
      Total Official Flows: the sum of Official Development Assistance (ODA) and Other Official Flows (OOF) represents the total (gross or net) disbursements by the official sector at large to the recipient country shown.
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 15 十月, 2019
      选择数据集
      Total Receipts, Net: in addition to Official Development Assistance, this heading includes in particular: other official bilateral transactions which are not concessional or which, even though they have concessional elements, are primarily trade facilitating in character (i.e., "Other Official Flows''); changes in bilateral long-term assets of the private non-monetary and monetary sectors, in particular guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks. Flows from the multilateral sector which are not classified as concessional are also included here.
    • 八月 2019
      来源: Department of Statistics, Malaysia
      上传者: Knoema
      访问日期: 28 八月, 2019
      选择数据集
    • 六月 2019
      来源: Statistical Office of Montenegro
      上传者: Knoema
      访问日期: 04 六月, 2019
      选择数据集
    • 十一月 2018
      来源: National Statistical Office of Thailand
      上传者: Knoema
      访问日期: 09 七月, 2019
      选择数据集
    • 三月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 三月, 2019
      选择数据集
      This table presents export/import information by enterprise size class and partner country.
    • 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
      This dataset shows the number of exporters and importers and their associated trade values for a selected set of partner countries and zones, broken down by three economic sectors: industry, trade and repair and other sectors. Total values for the wide economy are also displayed.Recommended uses and limitations EU countries break down trade data into Intra- and extra- EU zones, whereas non EU countries report their Total trade. Trade values have been aggregated for EU countries and Total (Intra-EU plus Extra-EU) trade flows are displayed, whereas Intra and Extra-EU data expressed in term of number of enterprises cannot be summed up, because of possible double-counting (same enterprise can be trader in both intra- and extra- EU trade). Data have been collected in ISIC revision 3 from 2003 up to 2007 and in ISIC revision 4 as from reference year 2008. Time series are affected by this change in classification, and thus data are displayed into two separate databases.
  • U
    • 十月 2019
      来源: U.S. Energy Information Administration
      上传者: Knoema
      访问日期: 25 十月, 2019
      选择数据集
    • 八月 2019
      来源: United Nations COMTRADE
      上传者: Knoema
      访问日期: 24 九月, 2019
      选择数据集
    • 六月 2018
      来源: United Nations High Commissioner for Refugees
      上传者: Knoema
      访问日期: 16 七月, 2018
      选择数据集
      Note:  In the 2017 data, figures between 1 and 4 represent situations where the figures are being kept confidential to protect the anonymity of individuals. Such figures are not included in any totals. The UNHCR Population Statistics Database currently contains data about UNHCR's populations of concern from the year 1959 up to 2017. UNHCR identifies seven population categories, collectively referred to as ‘persons of concern’: refugees, asylum-seekers, internally displaced persons (IDPs), refugees who have returned home (returnees), IDPs who have returned home, persons under UNHCR’s statelessness mandate, and others who do not fall under these categories but to whom the agency extends protection. Since 2007, two additional sub-categories have been added: individuals in refugee-like situations (included under refugees) and those in IDP-like situations (included under IDPs). Refugees include individuals recognised under the 1951 Convention relating to the Status of Refugees; its 1967 Protocol; the 1969 OAU Convention Governing the Specific Aspects of Refugee Problems in Africa; those recognised in accordance with the UNHCR Statute; individuals granted complementary forms of protection; or those enjoying temporary protection. Since 2007, the refugee population also includes people in a refugee-like situation. Asylum-seekers are individuals who have sought international protection and whose claims for refugee status have not yet been determined, irrespective of when they may have been lodged. Internally displaced persons (IDPs) are people or groups of individuals who have been forced to leave their homes or places of habitual residence, in particular as a result of, or in order to avoid the effects of armed conflict, situations of generalised violence, violations of human rights, or natural or man-made disasters, and who have not crossed an international border. For the purposes of UNHCR's statistics, this population only includes conflict-generated IDPs to whom the Office extends protection and/or assistance. Since 2007, the IDP population also includes people in an IDP-like situation. Returned refugees are former refugees who have returned to their country of origin spontaneously or in an organised fashion but are yet to be fully integrated. Such return would normally only take place in conditions of safety and dignity. Returned IDPs refer to those IDPs who were beneficiaries of UNHCR's protection and assistance activities and who returned to their areas of origin or habitual residence during the year. Stateless persons are defined under international law as persons who are not considered as nationals by any State under the operation of its law. In other words, they do not possess the nationality of any State. UNHCR statistics refer to persons who fall under the agency’s statelessness mandate because they are stateless according to this international definition, but data from some countries may also include persons with undetermined nationality. Others of concern refers to individuals who do not necessarily fall directly into any of the groups above, but to whom UNHCR extends its protection and/or assistance services, based on humanitarian or other special grounds.
  • W
    • 二月 2015
      来源: World Bank
      上传者: Knoema
      访问日期: 05 十一月, 2015
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Trade In Services Database Publication: https://datacatalog.worldbank.org/dataset/trade-services-database License: http://creativecommons.org/licenses/by/4.0/   The Trade in Services Database provides information on annual bilateral services trade flows in Mode 1 (cross-border trade) and Mode 2 (consumption abroad) for 199 countries across a multitude of sectors and years spanning 1985 and 2011. The collection of data on cross-border trade in services is notoriously difficult, in large part due to the intangible nature of services but also the high capacity needed to record such data. This is particularly true for developing countries. This database tries to fill this gap by consolidating multiple sources of bilateral trade data in services using mirror techniques, including the OECD, Eurostat, UN and IMF, as to provide a broader coverage of developed and developing countries over time. Mirror-technique is a method to retrieve export trade flows of a reporter by using information on imports of the partner country.
    • 十二月 2018
      来源: World Integrated Trade Solution
      上传者: Knoema
      访问日期: 21 一月, 2019
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Integrated Trade Solution Trade Stats Publication: https://datacatalog.worldbank.org/dataset/world-integrated-trade-solution-trade-stats License: http://creativecommons.org/licenses/by/4.0/   WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.  
    • 十二月 2018
      来源: World Trade Organization
      上传者: Knoema
      访问日期: 11 六月, 2019
      选择数据集
    • 九月 2017
      来源: World Tourism Organization
      上传者: Knoema
      访问日期: 16 十一月, 2017
      选择数据集
      World Tourism Organization, Country Specified Database, 2016
    • 九月 2018
      来源: World Trade Organization
      上传者: Knoema
      访问日期: 27 九月, 2018
      选择数据集
      WTO statistical data sets: Total merchandise trade, Merchandise trade by commodity, Network of world merchandise trade, Selected regional integration agreements, Trade in commercial services, Merchandise trade indices.

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