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美利坚合众国

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

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所有数据集:  A B C D E F G H I L M N O P R S T U W
  • A
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 10 一月, 2019
      选择数据集
      The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Population Demographics by gender, race, age, households, and relationships.
    • 十二月 2018
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 10 六月, 2019
      选择数据集
      Annual Estimates of the Resident Population: 2018 Estimates The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. All geographic boundaries for the 2018 population estimates series except statistical area delineations are as of January 1, 2018. 
    • 十月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 10 十月, 2019
      选择数据集
      This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection: the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered: Pupils and students – Enrolments and EntrantsLearning mobilityEducation personnelEducation financeGraduatesLanguage learningData and indicators disseminated include e.g. participation rates at different levels of education,  shares of pupils and students by programme orientation (general/academic and vocational/professional) and in combined school and work-based programmes, enrolments in public and private institutions, tertiary education graduates, degree mobile students enrolled and graduates, pupil-teacher ratios, foreign language learning, expenditure on education per student and relative GDP etc.
  • B
  • C
    • 六月 2016
      来源: African Development Bank Group
      上传者: Knoema
      访问日期: 20 七月, 2016
      选择数据集
      This Dataset describes the list of common indicators from census datasets of african countries.
    • 一月 2016
      来源: National Institute of Statistics, Guinea Bissau
      上传者: Knoema
      访问日期: 06 二月, 2019
      选择数据集
      Data cited at: https://guinebissau.opendataforafrica.org/GWCENSUS2016 Guinea Bissau - Census conducted in the year 2009, Region and sector wise census data.
    • 一月 2017
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 21 十一月, 2018
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international (UNICEF TransMONEE) official sources. Definition: Child-care refers to formal child-care arrangements, public or private, such as group care in child-care centres (creche) or registered childminders based in their own homes looking after two or more children. Child-care refers to children at youngest age (typically children aged under 3); pre-primary schools are excluded. Enrolment in child-care centres: Number of children aged under 3 enrolled in child-care centres per 100 children of the same age group. Data normally refer to beginning of the school-year. Availability of places in child-care centres: Ratio of the number of places available for children aged under 3 in child-care centres per 100 children of the same age group. Data refer to beginning of the school-year. General note: depending on the organization of education and child-care centers in countries, data may be available for age groups different from under 3 years. Such differences and other deviations from the above definitions are specified in country notes. .. - data not available Country: Austria Change in definition (1995 - 2012): Data include centre-based institutions and exclude home-based arrangements. Country: Austria Reference period (1995 - 2012): Age calculation as of 31 August, the beginning of school year. Country: Belgium Change in definition (1990 - 2012): Data refer to children aged 0-2.5 years Country: Belgium Reference period (2008 - 2009): Data refer to children enrolled on October 2008 Country: Belgium Territorial change (1990 - 2012): Data cover only the French community of Belgium Country: Bulgaria Reference period (1980 - 2012): Data refer to end of calendar year. E.g. 1980-1981 refers to 31.12.1980. Country: Croatia Additional information (2011 - 2012): Census 2011 data are used for children of the corresponding age. Country: Croatia Data refers to children aged 6 months to 2 years. Country: Cyprus Data refer to the Government controlled area only. Country: Cyprus Data only include enrolmemts in child care centres, exclude child care provided by registered childminders. Country: Denmark Reference period (2004): As of 2004, reference month changed from March to September. Country: Estonia Change in definition (1995 - 2007): Data refer to children aged 1?2 years. Country: Estonia Change in definition (2008 onward): Data refer to children aged 0-2 years. Country: Estonia Reference period (1995 - 2008): Data refer to middle of the school year, i.e. end of calendar year. Country: Estonia Reference period (2009 onward): Data refer to beginning of school year. Country: Finland Change in definition (2000 - 2012): Data refer to end of calendar year. Country: Finland The data include full- and part-time care in day care centres and families Country: France Data cover only Metropolitan France. Child care refers to child care centers and registered childminders based in their own homes. The data exclude pre-primary school, kindergartens, unregistered childminders and childminders working at home. Available places are here counted regardless of the age of the children actually using them : all of them are theorically available for 0-2 years old but some of them are in practice used for children aged 3 or more. Country: Georgia Change in definition (2008 - 2009): Data cover only child care organizations and refer to december. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region. Country: Germany Break in methodology (1990): Average calculated for Germany Country: Germany Reference period (1990): Data refer to 21.12.1991. Country: Germany Reference period (1995): Data refer to 1994. Country: Germany Reference period (2000): Data on places refer to 31.12.1998. Country: Germany Children in day care are included starting with reference year 2012/2013 according to definition of ISCED Level 010 in ISCED 2011. Country: Hungary Change in definition (1990 - 2007): Data for available places refer to all children enrolled including children aged 3+ years. Data referred only to nurseries, from 2008 day care and child minding are also included. Country: Hungary Reference period (1990 onward): Data refer to 31 May of each year Country: Iceland Change in definition (1990 - 2012): Data refer to children aged 0-2 years in formal child-care arrangements and with registered private child-minders. Country: Israel Data are from registers. Country: Italy Change in definition (1980 - 2003): Data refer to formal child-care arrangements in public centres. Country: Italy Change in definition (2004 - 2012): Data refer to formal child-care arrangements, public or private. Country: Kazakhstan Change in definition (2001 - 2012): Data refer to children aged 0-2 years enrolled in permanent pre-primary organizations functioning at least 10 months per year. Data do not cover other types of existing organizations such as seasonal kindergartens etc. Country: Kyrgyzstan Reference period (1990 - 2012): Data refer to the end of the year. Country: Lithuania Data refer to children aged 1-2 years. Data refer to end of calendar year Country: Moldova, Republic of Data exclude the territory of the Transnistria and municipality of Bender. Data for indicator ''Places available in child-care centres per 100 children'' refers to 0-6 group of age. Country: Montenegro Change in definition (2000 - 2012): Data refer to children aged 0-2 years enrolled in pre-primary public organizations. Country: Netherlands Data refer to children aged 0-4 years Country: Netherlands 1995-1996 data refer to 1996. 2000-2001 data refer to 2000, 2002-2003 data refer to 2002 etc. Country: Norway Data refer to end of calendar year. i.e. 2000/2001 data refer to December 2000. Country: Poland From 2000 onwards, data concern health care facility: nurseries and nursery wards of nursery schools. Since 2011, the data also apply to children’s club which are a new form of childcare. Country: Poland Reference period (from 2000 onwards): The data in the two-year period refers to the end of the calendar year mentioned in the range as earlier Country: Portugal Data refer to calendar year Country: Portugal Data cover mainland only. Country: Romania Break in methodlogy (2002): From 2002, reference population is the resident population Country: Romania Break in methodology (2010): data refer to formal child-care in public and private sector. Starting 2010 data refer to children aged 0 to less than 3 years. The reference population is the population aged 0-2 years. However in enrolled population also includes children aged 3 years and over. From 2014 data compiled according to ISCED 2011. Country: Romania Change in definition (1990 - 2012): Data refer to formal child-care in public and private sector. Country: Romania Reference period (1990 - 2012): Data refer to calendar year. i.e. data for 2009-2010 refer to 2009. Country: Romania Reference period (2010): Data refer to calendar year. i.e. data for 2009-2010 refer to 2009. Data refer to calendar year. i.e. data for 2010-2011 refer to 2010. Country: Russian Federation Reference period (2000 - 2012): Data are given at the end of the year. Country: Serbia Territorial change (2000 - 2012): The Statistical Office of the Republic of Serbia has no available data on the AP Kosovo and Metohija. Country: Sweden Change in definition (1980 - onwards): Data refer to children aged 1-2 years due to longer parental leave which allows most children aged 0-1 years to be with their parents. Country: Sweden Reference period (2000): Before 2000/2001: data as of 31 December. From 2001: data as of 15 December. Country: Switzerland Data refer to children from 0 to less than 4 years. Country: Tajikistan Change in definition (2000 - 2012): Data refer to children aged 0-3 years. Country: Tajikistan Reference period (2006 - 2007): Data refer to end of calendar year Country: Ukraine Reference period (1990 - 2014): Data refer to calendar year. For all years, data refer to children aged 0-2. Country: United Kingdom Change in definition (2010 - 2012): Childcare includes: Day nursery, Playgroup or Preschool, and Childminders. Childminders look after at least one child for more than 2 hours in any day Country: United Kingdom Reference period (2010 - 2012): Figures do not relate to the beginning of the school year but to a term-time reference week. The Survey is not carried out at the same point each year Country: United Kingdom Territorial change (2010 - 2012): Figures relate to England only and not the whole of the UK Country: United States Change in definition (1995 - 2012): Data refer to civilian, non-institutionalized population. Data refer to children enrolled in an organized care facility which includes day care centers, nursery, preschools, Federal Head Start programs, and kindergarten, grade school. Country: United States Reference period (2000): Data refer to 1999.
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 15 二月, 2019
      选择数据集
      LGA2011 based data for Country Of Birth Of Person by Sex, Time Series Profiles Table t08, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      LGA2011 based data for by Sex, Basic Community Profile Table B09, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      SA1 based data for by Sex, Basic Community Profile Table B09, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 15 二月, 2019
      选择数据集
      Australia/State/SA4/SA3/SA2 based data for Country Of Birth Of Person by Sex, Time Series Profiles Table t08, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      Australia/State/SA4/SA3/SA2 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 12 二月, 2019
      选择数据集
      LGA2011 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • 二月 2019
      来源: Australian Bureau of Statistics
      上传者: Knoema
      访问日期: 13 二月, 2019
      选择数据集
      SA1 based data for Year of Arrival in Australia, Basic Community Profile Table B10, for 2011 Census ABS Census Homepage
    • 十一月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 07 十一月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international official sources. Area data exclude overseas departments and territories. For population footnotes click here. For life expectancy footnotes click here. For fertility rate footnotes click here. For population by marital status footnotes click here. For female members of parliament footnotes click here. For female government ministers footnotes click here. For female central bank board members footnotes click here. For female tertiary students footnotes click here. For economic activity rate footnotes click here. For gender pay gap footnotes click here. For employment growth rate footnotes click here. For unemployment rate footnotes click here. For youth unemployment rate footnotes click here. For employment by economic sector footnotes click here. For economic indicator footnotes click here. For road accident footnotes click here. For total length of motorways footnotes click here. For total length of railway lines footnotes click here. Key indicators in maps .. - data not availableIndicatorGDP in agriculture (ISIC4 A): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in industry (incl. construction) (ISIC4 B-F): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP in services (ISIC4 G-U): output approach, index, 2010=100If the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in agriculture etc. (ISIC4 A), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in industry etc. (ISIC4 B-E), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in construction (ISIC4 F), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in trade, hospitality, transport and communication (ISIC4 G-J), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in finance and business services (ISIC4 K-N), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in public administration, education and health (ISIC4 O-Q), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.GDP: in other service activities (ISIC4 R-U), output approach, per cent share of GVAIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in agriculture, hunting, forestry and fishing (ISIC Rev. 4 A), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in industry and energy (ISIC Rev. 4 B-E), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in construction (ISIC Rev. 4 F), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in trade, hotels, restaurants, transport and communications (ISIC Rev. 4 G-J), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in finance, real estate and business services (ISIC Rev. 4 K-N), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in public administration, education and health (ISIC Rev. 4 O-Q), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.Employment in other service activities (ISIC Rev. 4 R-U), share of total employmentIf the country has not yet provided data according to ISIC 4, you may find the data according to ISIC 3.1 in more detailed tables under the Economy section of the database.
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 13 八月, 2019
      选择数据集
      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 07 五月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition: Couple: A couple is defined as a man and woman living as a married couple, a registered couple or a couple who lives in a consensual union. Two persons are considered as partners in a consensual union when they have usual residence in the same household, are not married to each other and have a marriage-like relationship to each other. Data refer to couples where both partners are in the age range 25-49. Data are reported according to the age of the youngest child of the couple. Children living outside the household are not considered. Part-time/full-time: A part-time worker is an employed person whose normal hours of work are less than those of comparable full-time workers. In most countries, the distinction between part-time and full-time work is based on self-declaration. In a few countries, work is defined as part-time when the hours usually worked are below a fixed threshold. Not working: Both inactive and unemployed persons are considered as not working. General note: Data come from the Labour Force Survey (LFS) unless otherwise specified. .. - data not available Country: Austria Break in methodlogy (2004): Break in series due to change in data collection procedure. Country: Austria Change in definition (1980): Data refer to the livelihood concept Country: Austria Reference period (1980): Data refer to 1984 Country: Austria Data below the threshold of 3 000 persons are not published, while caution should be taken in interpreting data below the threshold of 6 000 persons. Country: Belgium Break in methodology (2012): From 2012, data explicitely include couples living in a consensual union. Country: Belgium Change in definition (2005 - 2015): A child is considered as a person below 17 who lives in the household whatever the relation to the reference person may be. Country: Canada Data refer to women aged 25-49 and men aged 15+. Data for No child refers to no child under the age of 16. Child aged more than 6 refers to child aged 6 to 15. Data are annual averages. Country: Canada Data do not cover the three northern territories (Yukon, Northwest and Nunavuk) Country: Croatia Data given for 2013 onwards are calibrated according to the results of the Census 2011 and are not fully comparable with data given for previous years. Country: Denmark Change in definition (1980 - 2006): Data do not cover couples where one or both members are self employed Country: Denmark Reference period (1980): Data refer to 1986 Country: Finland Data do not include children aged 17+. Data for child aged more than 6 refers to child aged more than 7 and child aged up to 6 refers to child aged 0-6 years (including 6). Country: France Reference area: Metropolitan France. Country: Germany Break in methodlogy (2005): Until 2004, data refer to one reporting week. From 2005 data are annual average figures. Country: Greece Data refer to annual averages. Country: Hungary Change in definition (2000 - 2013): Data refer to couples where both members are in the age range 15-74. Women not working include also those on maternity leave. Couples with youngest child aged 6 refer to couples with youngest child aged 6-16. Country: Hungary Reference period (2000 - 2013): Data refer to 2nd Quarter of each year. Country: Israel Break in methodlogy (2000): In 1998: 1) Changes in the weighting method; 2) Transition to the 1995 Population Census estimates; See explanations: http://www.cbs.gov.il/www/publications/saka_change/tch_e.pdf Country: Israel Break in methodlogy (2001): Changes in the weighting method. See explanations: http://www.cbs.gov.il/www/saka_y/e_intro_f1_comparison-mimi.f Country: Israel Break in methodlogy (2009): 1) Update of the definition of the civilian labour force characteristics; 2) Transition to the 2008 Population Census estimates. See explanations: http://www.cbs.gov.il/publications11/1460/pdf/intro05_e.pdf Country: Israel Break in methodlogy (2012): 1) Transitiom from a quarterly to a monthly LFS; 2) Changes in the definitions of labour force characteristics (including compulsory and permanent military service into labour force). See explanations: http://www.cbs.gov.il/publications/labour_survey04/labour_f--orce_survey/answer_question_e_2012.pdf Country: Israel Change in definition (1995): 1) Update of the definitions of labour force characteristics; 2) Changes in the Standard Industrial Classification of Economic Activities; See explanations: http://www.cbs.gov.il/www/publications/saka_change/tch_e.pdf Country: Israel Change in definition: from 2000 data for All couples include homosexual couples and couples where one partner is working but with unknown working hours. Child aged up to 6 refers to child under the age of 5. Child aged more than 6 refers to child aged 5 to 17. Country: Israel Territorial change (1995 onwards): Data do not cover couples living in kibbutzim, in institutions and living outside localities (Bedouins in the South and others) Country: Italy Break in methodlogy (2004): From 2004, there is a break in series due to change in survey and data collection procedure (continuous survey). Country: Latvia Change in definition (2010 - 2012): Couples with youngest child aged 6 and above& 39; - youngest child aged 6-16 years. Country: Luxembourg Change in definition (2001): Data do not include couples (with or without children) living with other persons. Full-time workers are those who usually work 35 hours or more per week, part-time workers are those who usually work less than 35 hours per week. Country: Portugal Data from 2011 onwards are not directly comparable with data for the previous years due to new data collection methods used in the Portuguese Labour Force Survey series. Estimates below 2 250 individuals are not shown due to high coefficients of variation. Country: Romania Break in methodology (2002): Due to the revision of the definitions and the coverage, the data series of 2002-2012 are not perfectly comparable with data series of previous years. Break in series starting with year 2013. For years 2014 onward data were estimated using the resident population. For year 2013 data were estimated based on revised population figures (resident population) in accordance to the 2011 Census results. Country: Romania Reference period (1995): Data for 1995 refers to March 1995. Country: Spain Data refer only to children of the reference person in the household. Data are annual average of the four quarters of the year. Data include persons working abroad as full time workers. Country: Sweden Reference period (1990): Data refer to 1991. Country: Switzerland Break in methodlogy (2010): From 2010, data based on sample survey of the resident permanent population 15 years and older (part of the annual combined census). Before 2000, data based on traditional census (full field enumeration). Data for 2010 and onwards are not fully comparable with those of 2000 and earlier. Country: Switzerland From 2010 onwards the sum of the data for the different work patterns of couples does not equal the total of all couples (the sum of the percentage isn’t equal to 100%) because of missing data. Country: United Kingdom Change in definition (2000 - 2013): Data refer to & 39;couple families& 39; and not & 39;couple households& 39;. Country: United States Data refer to married couples aged 16+. Full-time workers are those who usually work 35 hours or more per week, part-time workers are those who usually work less than 35 hours per week.
  • D
    • 五月 2018
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 21 十一月, 2018
      选择数据集
      .. - data not available Source: UNECE Statistical Division Database, compiled from national and international (WHO European health for all database) official sources. Definitions: The (age-) standardized death rate (SDR) is a weighted average of age-specific mortality rates per 100 000 population. The weighting factor is the age distribution of a standard reference population. The standard reference population used is the European standard population as defined by the World Health Organisation (WHO). As method for standardisation, the direct method is applied. As most causes of death vary significantly with age and sex, the use of standardised death rates improves comparability over time and between countries. Death refers to the permanent disappearance of all evidence of life at any time after a live birth has taken place (post-natal cessation of vital functions without capability of resuscitation). This definition therefore excludes foetal deaths. Causes of death (CoD) are all diseases, morbid conditions or injuries that either resulted in or contributed to death, and the circumstances of the accident or violence that produced any such injuries. Symptoms or modes of dying, such as heart failure or asthenia, are not considered to be causes of death for vital statistics purposes. General note:: Diseases and external causes of death are coded differently in different versions of the International Classification of Diseases (ICD). For many diseases it is not possible to identify codes in different classification systems that would correspond precisely to the same disease or groups of diseases. Often the change in the trend of a certain cause-specific mortality rate may be the result of a changing ICD version or national death certification and coding practices, rather than an actual change in the mortality. It should be noted that mortality rates for some countries may be biased due to the under-registration of death cases. The basic principle of selection of the 17 CoD for presentation in the UNECE Gender Database is to include one main SDR for each of the ICD chapters and also to focus on some of the leading CoD across the European Region and some specific causes with high gender differences. ICD versionCountries9.3 - ICD-9 3-digit codes Albania, The former Yugoslav Republic of Macedonia 9.4 - ICD-9 4-digit or mixture of 3- and 4-digit codesGreece9.5 - ICD-9 BTL codes (in most countries actually original ICD-9 codes were used but the data later were converted by WHO into BTL codes) Bosnia and Herzegovina10.1 - ICD-10 mortality tabulation condensed list No1 (103 causes) Armenia, Azerbaijan, Belarus, Kazakhstan, Russian Federation, Ukraine10.3 - ICD-10 3-digit codes Belgium, Bulgaria, Estonia, Georgia, Latvia, Montenegro, Serbia, Slovakia, Slovenia, Uzbekistan10.4 - ICD-10 4-digit or mixture of 3- and 4-digit codes Austria, Canada, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Hungary, Iceland, Ireland, Israel, Italy, Kyrgyzstan, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Romania, Spain, Sweden, Switzerland, United Kingdom, United States 1.75 - Special tabulation list of 175 causes used in some ex-USSR countries Tajikistan, Turkmenistan Link to International Classification of Diseases 10th Revision Country: Canada Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents. Data on suicide and intentional self-harm include sequelae of intentional self-harm. Country: United States Data on accidents include sequelae of transport and other accidents. Data on transport accidents include sequelae of transport accidents.
  • E
    • 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
      The OECD, in cooperation with the EU, has developed a harmonised definition of urban areas which overcomes previous limitations linked to administrative definitions (OECD, 2012). According to this definition an urban area is a functional economic unit characterised by densely inhabited “city core” and “commuting zone” whose labour market is highly integrated with the core. The Metropolitan database provides indicators of 649 OECD metropolitan areas identified in 33 OECD countries and the functional urban areas of Colombia. Comparable values of population, GDP, employment, and other indicators are presented.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 11 六月, 2019
      选择数据集
      Source: UNECE Statististical Database, compiled from national and international (Eurostat) official sources. Definition: The employment rate is the share of employed persons in the population of the corresponding sex and age group. Marital status is defined as the legal conjugal status of each individual in relation to the marriage laws or customs of the country. The following classification is used: - Never married (single), - Married, - Widowed (and not remarried), - Divorced (and not remarried). In some countries the legal status of separated also exists and persons of this group are included here in the group of married. General note: Data come from the Labour Force Survey (LFS) unless otherwise specified. .. - data not available Country: Armenia 2007 data refer to population aged 16-75. Break in methodlogy: since 2008 data refer to population aged 15-75.From 2007 to 2013 data are based on the Integrated Survey of the Household Living Standards.Break in methodlogy: since 2014 data are based on the Labour Force Survey. Country: Austria Break in methodology (2004): Break in series due to change in data collection procedure. Country: Bosnia and Herzegovina Estimates for the age group 65+ are less reliable for 2015. Country: Canada Data do not cover the three northern territories (Yukon, Northwest and Nunavuk ) Country: Georgia Change in definition (2008 onward): Unknown marital status refers to non-registered marriage Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region Country: Israel Break in methodlogy (2000): In 1998: 1) Changes in the weighting method; 2) Transition to the 1995 Population Census estimates; See explanations: http://www.cbs.gov.il/www/publications/saka_change/tch_e.pdf Country: Israel Break in methodlogy (2001): Changes in the weighting method. See explanations: http://www.cbs.gov.il/www/saka_y/e_intro_f1_comparison-mimi.f Country: Israel Break in methodlogy (2009): 1) Update of the definition of the civilian labour force characteristics; 2) Transition to the 2008 Population Census estimates. See explanations: http://www.cbs.gov.il/publications11/1460/pdf/intro05_e.pdf Country: Israel Break in methodlogy (2012): 1) Transitiom from a quarterly to a monthly LFS; 2) Changes in the definitions of labour force characteristics (including compulsory and permanent military service into labour force). See explanations: http://www.cbs.gov.il/publications/labour_survey04/labour_f--orce_survey/answer_question_e_2012.pdf Country: Israel Married persons include Married but living apart; From 2005, 1) Update of the definitions of labour force characteristics; 2) Changes in the Standard Industrial Classification of Economic Activities; See explanations: http://www.cbs.gov.il/www/publications/saka_change/tch_e.pdf Country: Moldova, Republic of Significance (2000 - 2012): Category "married" includes the persons who are not officially registered their marriage, but live together Country: Moldova, Republic of Data exclude the territory of the Transnistria and municipality of Bender Country: Russian Federation Change in definition (1990 - 2013): Data present the population aged 15-72 years Country: Russian Federation Reference period (1990): Data refer to 1992 Country: Russian Federation Territorial change (1990 - 2006): Data do not include the Chechen Republic Country: Serbia Data do not cover Kosovo and Metohija. Country: Turkey Break in methodlogy (2004): Data are revised according to the 2008 population projections. Country: Turkey Break in series (2014): Since 2014 series are not comparable with the previous years due to methodological changes in LFS. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine Change in definition (2000 - 2012): Determining the level of employment corresponds to the definition given above. Country: Ukraine Territorial change (2000 - 2012): Data do not cover the area of radioactive contamination from the Chernobyl disaster. Country: United States Age group 15+ refers to 16+; age group 15-24 refers to 16-24; age group 25-49 refers to 25-54 and age group 50-64 refers to 55-64.
    • 九月 2014
      来源: Statistics Netherlands
      上传者: Knoema
      访问日期: 05 十月, 2017
      选择数据集
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Investment climate; Dutch economy international comparison, 1960-2012 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=71166eng&_theme=974 License: http://creativecommons.org/licenses/by/4.0/   This Dataset provides an international comparison of the performance of the economy. This is done by means of a number of broadly accepted economic indicators as gross domestic product and employed labour force. These indicators are complemented by a number of indicators on the quality of life and ecological sustainability. Note: Comparable definitions are used to facilitate international comparisons of the figures. The definitions used here sometimes differ from definitions used by Statistics Netherlands. The figures in this table can differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.    
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 24 五月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha3p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 七月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha3m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 七月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha3h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 七月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha2p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea.
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 七月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha1p Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003.
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 五月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha1m Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
    • 五月 2015
      来源: Eurostat
      上传者: Knoema
      访问日期: 27 七月, 2015
      选择数据集
      Eurostat Dataset Id:hlth_sha1h Data description Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing agent (e.g. social security, private insurance company, household). The definitions and classifications of the System of Health Accounts (SHA) (see the annex at the bottom of the page) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). Health care data on expenditure are largely based on surveys and administrative (register) data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable. The database is based on a co-operation between EUROSTAT, the OECD (Organisation for Economic Co-Operation and Development) and the WHO (World Health Organisation), executing a Joint Questionnaire on Health expenditure since 2005. The area covered consists of EU-27 (excluding EL, IE, IT, MT, and UK), Norway, Iceland, Switzerland, Japan, USA, Australia and Korea. 3.2. Classification system For all data on expenditure two sources for classifications are available: the System of Health Accounts (Manual v.1.0) as presented by the OECD in 2000 and the Guide to producing national health accounts with special application for low and middle income countries produced by WHO/Worldbank/USAID in 2003 These two manuals are complemented by the Guidelines produced for EUROSTAT by the Office for National Statistics (UK) in 2003. 3.3. Coverage - sector Public Health
  • F
    • 八月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 12 八月, 2019
      选择数据集
      In view of the strong demand for cross-national indicators on the situation of families and children, the OECD Family Database was developed to provide cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. The database brings together information from various national and international databases, both from within the OECD and from external organisations. The database classifies indicators into four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes. Detailed information on the definitions, sources and methods used in the construction of the database can be found on the OECD Family Database webpage.
  • G
    • 十一月 2018
      来源: Institute for Health Metrics and Evaluation
      上传者: Sandeep Reddy
      访问日期: 23 十一月, 2018
      选择数据集
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level. This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.
    • 十一月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 07 十一月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international official sources. For footnotes on Total population, in persons: click here For footnotes on Population aged 65+ as percentage of total population: click here For footnotes on Total fertility rate: click here For footnotes on Life expectancy at birth: click here For footnotes on Life expectancy at age 65: click here For footnotes on Mean age at first marriage: click here For footnotes on Economic activity rate: click here For footnotes on Proportion of workers in a managerial position: click here For footnotes on Gender pay gap as difference in monthly earnings: click here For footnotes on Long term unemployment rate:click here For footnotes on Proportion among population aged 25-49 with tertiary educational attainment:click here For footnotes on Tertiary students, percent of both sexes:click here For footnotes on Members of national parliament, percent of both sexes:click here For footnotes on Senior civil servants, percent of both sexes:click here For footnotes on Time spent by employed persons on free time activities:click here For footnotes on Employment rate of persons aged 25-49 with children under 3:click here For footnotes on Researchers, percent of both sexes:click here For footnotes on Victims of serious assaults, percent of both sexes:click here .. - data not available
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 22 四月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international official sources. Definitions: Gender pay gap is the difference between men’s and women’s average earnings from employment, shown as a percentage of men’s average earnings.The UNECE gender statistics database presents two indicators on gender pay gap, which represent two different concerns of gender equality. Gender Pay Gap in hourly wage rates refers to the gender gap in average hourly earnings. This indicator aims to capture the difference between men’s and women’s overall position in the labor market. It measures the difference between men’s and women’s wage rates independent of the number of hours worked, the type of activity or the type of occupation. Gender Pay Gap in monthly earnings refers to the gender gap in average monthly earnings. This indicator aims to capture the variance between men’s and women’s earnings over a specific period of time. It reflects differences in time worked and type of work performed, which translates into gender differences in economic autonomy. Wage rates are earnings elements meant to be measured, as stipulated by the ILO Resolution concerning an integrated system of wages statistics (ILO, 1973), in relation to an appropriate time period such as the hour, day, week, month or other customary period used for purposes of determining the wage rates concerned. In the case of these statistics, the reference time period is the hour. Wage rates should include basic wages, cost-of-living allowances and other guaranteed and regularly paid allowances, but exclude overtime payments, bonuses and gratuities, family allowances and other social security payments made by employers. Ex gratia payments in kind, supplementary to normal wage rates, are also excluded. Earnings relate to remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as for annual vacation, other paid leave or holidays. Earnings include direct wages and salaries for the time worked, or work done, remuneration for time not worked, bonuses and gratuities and housing and family allowances paid by the employer directly to his employee. Earnings exclude employers’ contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Gross earnings refer to total earnings before any deductions are made by the employer in respect of taxes, contributions of employees to social security and pension schemes, life insurance premiums, union dues and other obligations of employees. Net earnings refer to pay allocated to the worker after deductions are made by the employer in respect of taxes, contributions of employees to social security and pension schemes, life insurance premiums, union dues and other obligations of employees. For the EU and EFTA member states, data on Gender Pay Gap in hourly wage rates cover the economic activities as follows: industry, construction and services, except public administration, defense, compulsory social security, activities of households as employers and extra-territorial organisations and bodies (NACE Rev.2, sections from B to S excluding O). .. - data not available Country: Albania 2000: data refer to October 1998. Country: Armenia For gender pay gap in monthly earnings, data cover paid employees. Country: Austria Gross monthly earnings refer to the monthly amount in the main job. It includes usual paid overtime, tips and commission but excludes income from investments, assets, savings, stocks and shares. Profit share and bonuses are taken into account. Supplement payments (13th, 14th month, holiday pay...) are not included as they are not surveyed in this question, but they could be modeld (average gross monthly earning per group x14/12) under the simplified assumption that people are employed for the whole year and all receive these benefits. Country: Belarus Data refer to December of each year. Country: Belarus Collection method: enterprise-based data. Enterprises with less than 100 employees are excluded. Country: Bulgaria Data cover employees only and are compiled from enterprise survey (four-yearly Structure of Earnings Survey). Overtime payments are included in average earnings. Country: Canada For GPG in hourly earnings, data covers employees only, self-employed are excluded. Country: Croatia For gender pay gap in hourly earnings, basic earnings exclude housing and family allowances. Refers to NACE Rev 2 activities B-S Country: Cyprus Data are based on the results of the Structure of Earnings Survey (SES) for years 2006 and 2010. Data for 2006 and 2010 have been revised to better reflect the definitions provided by UNECE.Hourly Wage Rate includes normal salary and regular bonuses paid to the employee (including payments for shift work). It excludes overtime payments, irregular bonuses and payments in kind.Monthly earnings include normal salary, regular bonuses paid to the employee (including payments for shift work) and payments for overtime. They exclude irregular bonuses and payments in kind.Coverage: Enterprises in all economic activities, excluding Agriculture, Fishing, Activities of Private Households and Extra-territorial Organisations. All enterprises covered had one or more employees. Self-employed are not covered.Geographical coverage: data refer to Government controlled areas only. Country: Czechia Since 2011 all employees included in the sample surveys,including employees of enterprises with less than ten employees, employees of non-profit organizations, and also own-account workers that had not been measuredbefore. Country: Estonia For gender pay gap in monthly earnings, data exclude self-employed persons. From 2014, breakdown by education is according to ISCED-2011. Country: Finland The method of defining part/full-timers changed in 2001. Country: Finland Data do not include irregular bonuses, housing and family allowances. Average monthly earnings data cover only full-time employees. Country: France For gender pay gap in hourly earnings, data from 2006 are compiled from European Structure of Earnings Surveys. Earlier data are compiled from national sources. For gender pay gap in monthly earnings, the underlying average earnings data for 2006 are compiled from EU Structure of Earnings Survey and cover employees in enterprises of 10 or more employees only. People working in public sector are not covered in data up to 2009. From 2014 data include overseas departments. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region Country: Germany For gender pay gap in hourly earnings, data from 2006 are compiled from European Structure of Earnings Surveys. Earlier data are compiled from national sources. For gender pay gap in monthly earnings, the underlying average earnings data for 2006 are compiled from EU Structure of Earnings Survey and cover employees in enterprises of 10 or more employees only. People working in public sector are not covered. From 2014 breakdown by education compiled using ISCED-2011. Country: Greece For gender pay gap in hourly earnings, data from 2002 are compiled from European Structure of Earnings Surveys. Earlier data are compiled from national sources. For gender pay gap in monthly earnings, the underlying average earnings data from 2006 on are compiled from EU Structure of Earnings Survey and cover employees in enterprises of 10 or more employees only. People working in public sector are not covered. Country: Hungary Data include only full-time employees. B-S (-O), 10 employees or more Country: Iceland Change in definition (2000 - 2004): Only private sector - econmic activities ISIC-rev.3 D,F,G,I Country: Iceland Change in definition (2005 - 2008): Only private sector - econmic activities ISIC-rev.3 D,F,G,I,J Country: Iceland Change in definition (2009 onward): Private and public sector - economic activities ISIC-rev.4 C,D,E,F,G,H,J,K,O,P,Q. For all years data refer to average income from employment. Country: Israel Change in definition (2006 - 2012): Data cover both - paid employees and self-employed Country: Italy Monthly earnings data are compiled from households surveys (EU-SILC) from 2006 to 2009 and from European Structure of Earnings Survey (SES) from 2010 onwards. The main difference with the SES definition is that the SES definition refers to the month of october and excludes bonuses and other items not payable each month. There is a break in the series between 2009 and 2010. Country: Kazakhstan Average monthly nominal wages per employee is determined by dividing the amount of accrued payroll to the actual number of employees and the number of months in the reporting period. Country: Kyrgyzstan Figures for hourly earnings are obtained by dividing the average monthly earnings by the average number of monthly working hours. Country: Latvia Additional information (2002 onward): Data by education level are calculated for enterprises with number of employees 10 and more for NACE Rev.1.1 sections C-K (excluding L) on 2002 and 2006 and for NACE Rev.2 sections B-S (excluding O) on 2010 according to the methodology of structural indicator of European Comission Gender Pay Gap (GPG). Country: Latvia Data cover paid employees only. Part-timers earnings have been equivalised to fill-time units. All data exclude remuneration of kind. Country: Lithuania The gross earnings data on which GPG in monthly earnings are based exclude housing and family allowances. Country: Luxembourg For gender pay gap in hourly earnings, data from 2006 are compiled from European Structure of Earnings Surveys. For gender pay gap in monthly earnings, data are compiled from European Structure of Earnings Surveys. Average monthly earnings are based on full-time equivalent employees, reference month is october. NACE B to S exclunding O Country: Malta For gender pay gap in hourly earnings, data from 2006 are compiled from European Structure of Earnings Surveys. For gender pay gap in monthly earnings, the underlying average earnings data for 2006 are compiled from EU Structure of Earnings Survey and cover employees in enterprises of 10 or more employees only. People working in public sector are not covered. Country: Moldova, Republic of From 2012 information is presented without the data on districts from the left side of the river Nistru and municipality Bender. Through 2011 data are for September for units with 20 and more employees. Starting with 2012 data are for units with one and more employees. Country: Netherlands The underlying average earnings refer to employees only and do not include bonuses, gratuities, housing and family allowances. Country: Norway Data refer to full-time equivalent of paid employees only. Reference period: III quarter of each year. Data includes various additional allowances, bonuses, commissions and do not include payment for overtime work. Country: Poland Change in definition (2001 - 2004): Data refer to full-time employees only. Family allowances are not inclueded. Country: Poland Change in definition (2006 onward): Data cover employees only. Family allowances are not included. Country: Romania Additional information (1990 - 2001): Data cover the entire country and are related to enterprises with 1+ employees. The average monthly gross earnings refers to the entire year. Country: Russian Federation Change in definition (2005 - 2013): Underlying Earnings data do not include end of year, seniority, bonus payments and other nonrecurrent payments . Data include employees worked whole October; data exclude non-regular, temporary, contractual, absent due to different reasons (maternity, sabbatical, annual leave), part-time workers and others. Country: Slovakia Data on monthly earnings cover all economic activities (all NACE Rev.2 sections) Country: Slovenia In 2007 EURO was introduced instead of the national currency SIT. Country: Slovenia Change in definition (2003 onward): Data refer to full-time employees only. Country: Slovenia Provisional value (2014) Country: Spain Additional information (2000): The results have been obtained as annual average of quarterly data form a wage survey. The coverage are local units with 5 or more employees. Country: Spain From 2002-2003, the coverage is local units with 10 or more employees. Since 2004, coverage has been extended to all size units. ISCED-97 is used 2002-2010 and ISCED-11 in 2014. Country: Sweden Change in definition (2000 - 2013): The Data cover only employees and exlude irregular bonuses and gratuities. Country: Switzerland For monthly earnings, up to 2010 the data cover employees in private and public federal sectors. Since 2012, the data concern only the private sector. Country: Switzerland The underlying average earnings data exclude overtime pay and family allowances and refer to full-time equivalents. GPG figures computed from median earnings instead of averages. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine Up to 2009, the data do not cover small businesses, since 2010 the data include enterprises, institutions and organizations with 10 and more employees. Country: United Kingdom Monthly earnings are from the UK Annual Survey of Hours and Earnings (ASHE) and defined as average gross weekly earnings for the reference period (Gpay), multiplied by 4.348. Earnings are of those over 15 only.
    • 十一月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 06 十一月, 2019
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • 九月 2018
      来源: Natixis
      上传者: Knoema
      访问日期: 12 十月, 2018
      选择数据集
      The Global Retirement Index (GRI) is a multi-dimensional index developed by Natixis Global Asset Management and CoreData Research to examine the factors that drive retirement security and to provide a comparison tool for best practices in retirement policy. The index incorporates 18 performance indicators, grouped into four thematic sub-indices, which have been calculated on the basis of reliable data from a range of international organizations and academic sources. It takes into account the particular characteristics of the older demographic retiree group in order to assess and compare the level of retirement security in different countries around the world. The four thematic indices cover key aspects for welfare in retirement: the material means to live comfortably in retirement; access to quality financial services to help preserve savings value and maximize income; access to quality health services; and a clean and safe environment. The sub-indices provide insight into which particular characteristics are driving an improvement or worsening each country’s position. Data has been tracked consistently to provide a basis for year-over-year comparison. This is the fifth year Natixis Global Asset Management and CoreData have produced the GRI as a guide to the changing decisions facing retirees as they focus on their needs and goals for the future, and where and how to most efficiently preserve wealth while enjoying retirement. As the GRI continues to run each year, it is our hope it will be possible to discern ongoing trends in, for instance, the quality of a nation’s financial services sector, thereby identifying those variables that can be best managed to ensure a more secure retirement. The index includes International Monetary Fund (IMF) advanced economies, members of the Organization for Economic Co-operation and Development (OECD) and the BRIC countries (Brazil, Russia, India, and China). The researchers calculated a mean score in each category and combined the category scores for a final overall ranking of the 43 nations studied. The index is calculated as a percentage from 0% to 100% where 100% represents the most favorable environment to retirement security.
  • H
    • 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 Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • 九月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 25 九月, 2019
      选择数据集
      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
    • 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
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • 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 presents annual population data from 1950 to 2050 by sex and five year age groups as well as age-dependency ratios. The data is available for 46 countries. Data from 1950 to 2011 (2012) are historical data while data from 2012 (2013) are projections. In order to estimate the population in coming years, fertility rate, life expectancy and level of immigration have to be estimated. Assumptions underlying the estimations of each of these three elements are usually categorise as low, medium or high within one specific country. Where a range of projections are available, the projection data presented here are based on the "medium variant". Assumptions underlying the projection data shown are described country per country in the metadata table as well as the source of data. There are three sources for the data: national statistical institutes, Eurostat or the United Nations. The population data is presented in 18 five year age groups which refer to the population from 0-4 to 85 and more. The following age groups are also available: less than 15, less than 20, 15 to 64, 20-64, 65 and over. Age-dependency ratios are also presented. Assumptions by country. Data are presented for 46 countries. The 34 OECD member countries, the 6 EU countries not belonging to the OECD, and Brazil, Colombia, India, Indonesia, China, Russia and South Africa.
    • 三月 2010
      来源: Maddison Project
      上传者: Knoema
      选择数据集
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • 八月 2018
      来源: United Nations Development Programme
      上传者: Knoema
      访问日期: 20 十二月, 2018
      选择数据集
      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
  • I
    • 二月 2011
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      选择数据集
      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • 二月 2011
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      选择数据集
      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • 十二月 2010
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 31 七月, 2013
      选择数据集
      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • 九月 2011
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      选择数据集
      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
      选择数据集
      .. - data not available Source: UNECE Statistical Database, compiled from national and international (WHO European health for all database, Eurostat and UNICEF TransMONEE) official sources. Definition: The infant mortality rate is the number of deaths of infants under one year of age per 1000 live births in a given year. Country: Azerbaijan Break in methodlogy (2000): Change in calculation methodology. Country: Cyprus Data cover only government controlled area. Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Italy Change in definition (1980 - 2011): Data refer to resident or non resident population. Country: Malta From 2001: data include foreign residents. Country: Serbia Break in methodlogy (2005): Change in data processing methodology. Country: Serbia Territorial change (2000 - 2012): Data do not cover Kosovo and Metohija. Country: Tajikistan Additional information (1980 - 2012): Data are from births and deaths register. Country: Ukraine From 2014 data cover the territories under the government control.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 22 四月, 2019
      选择数据集
      .. - data not available Source:UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Use of Internet includes any kind of use, whether at home, at work or from anywhere else, for private or professional purposes, using a computer or any other means. Users of Internet over three months period: proportion of individuals who used the Internet in the last three months preceding the survey over the total number of individuals in the same group. Users of Internet over one week: proportion of individuals who used the internet at least once a week in the last three months preceding the survey over the total number of individuals in the same group. Variable: Users of Internet over 3 months period , Country: Armenia For 2013-2014 data refer to the proportion of persons who used a computer in the last 12 months. Since 2015, to the proportion of persons who used a computer in the last three months. Country: Armenia Additional information (2004 - 2008): Data refer to percentage of persons using internet in households covered in Integrated household living standards survey. Country: Azerbaijan Break in methodology: from 2013 data also include users connected to Internet through mobile phones Variable: Users of Internet over 3 months period , Country: Belarus Refers to computer use in the past 12 months. Country: Canada Data for 'all ages' refer to persons aged 18 years or higher (16 years or higher for 2007); 16 to 24 refer to ages 18 to 34 (aged 16 to 34 for 2007); 25 to 54 refer to ages 35 to 54; and 55 to 74 refer to ages 55 to 64. Data do not include Inmates of institutions, persons living on Indian Reserves, and full time members of the Canadian Armed Forces. Data refer to Interent use in the 12 months preceding the survey; data follow closely the calendar year. Data include use of the Internet for personal, non-business reasons only. 2000-2003: data refer to the percentage of all households with at least one member regularly using the Internet from any location; data by age group are based on the age of the household head (who may or may not use the Internet). Country: Israel Change in definition (2002 - 2006): Data refer to population aged 20 and over. Data refer to the proportion of persons who used a internet in the last month. Country: Israel Change in definition (2008 - 2013): Data refer to population aged 20 and over. Variable: Weekly users of Internet , Country: Kazakhstan Data on weekly Internet use for age groups 16-74 and 16-24 refer to the population of 15-74 and 15-24 respectively. Country: Russian Federation Break in methodlogy (2011): Data refer to 16 - 74 year olds who use internet to the total number of persons in the relevant age group Country: Russian Federation Change in definition (2013): Data refer to age groups 16-72 and 55-72 instead of 16-74 and 55-74. Country: Russian Federation Change in definition (2013): Data refer to age groups 16-72 and 55-72 instead of 16-74 and 55-74. Country: Serbia Data exclude territory of Kosovo and Metohija. Country: Switzerland Change in definition: For 2000 - 2013, data on All ages refer to age group 14-74; age group 16-24 refers to 14-24. Since 2014 onwards, age group 16-74 has been considered. Country: Switzerland Reference period: For 2000 - 2013 data refer to 6 months period: 2006 refer to Oct. 2005 to March 2006; the same applies to other years. From 2014 onwards the reference period is the last three months and the frequency is at least once a week. Country: Ukraine Change in definition (2007 - 2013): Data refer to age groups 15-24 instead of 16-24 and 25-74 instead of 25-54. Data for 16-74 refer to all age groups. Country: Ukraine Territorial change (2007 - 2013): Excludes localities in the territory, which was radioactively contaminated by the Chernobyl disaster. Country: United States Change in definition (2007 - 2015): Data refer to civilian, non-institutionalized population. Age range is 15 and over. Data are not time or frequency specific, bur rather only about using the internet or email. Includes Internet use at home and away from home. Country: United States Reference period (1990): Data refer to 1989. Country: United States Reference period (1995): Data refer to 1997.
  • L
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 11 六月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international (WHO European health for all database, Eurostat and UNICEF TransMONEE) official sources. Definition: Life expectancy at birth is the average number of years a newborn is expected to live, if the prevailing patterns of mortality at the time of her/his birth were to stay the same throughout her/his life. Life expectancy at 65 is the average number of years a person at the age of 65 is expected to live, if the prevailing patterns of mortality at the time when she/he has reached the age of 65 were to stay the same throughout the rest of her/his life. .. - data not available Country: Azerbaijan Life expectancy at birth 1980 : data refer to 1981. Country: Bosnia and Herzegovina Life expectancy at birth 1980 : data refer to 1985. Life expectancy at birth 1995: data refer to the period 1990-1995. Country: Canada Data are calculated with a method that uses three years of data (e.g. 2007 data refers to 2005-2007). For further explanation, please refer to statistics Canada website. Reference period 2007-2012 is using an updated methodology. For further explanation, please refer to statistics Canada website. Country: Croatia 1980 : data refer to 1985. Country: Cyprus Data cover only government controlled area. Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Malta From 2001: data include foreign residents. Country: Serbia Reference period (1990): Data refer to 1990-1991 respectively. Country: Serbia Reference period (1995): Data refer to 1994-1995 respectively. Country: Serbia Territorial change (2000 - 2012): Data do not cover Kosovo and Metohija. Country: Tajikistan Reference period (1980): data refer to 1980/1981.
  • M
    • 一月 2017
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 21 十一月, 2018
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international (UNICEF TransMONEE) official sources. Definition: The mean age at first marriage is the weighted average of the different ages (limited at age 50), using as weights the age-specific marriage rates for first marriages only. General note: Data come from registers, unless otherwise specified. .. - data not available Country: Belarus Data are based on events and include all ages. Country: Belgium Change in definition (2000-2015): both spouses are single before the marriage. In the preceding table, each spouse was selected separetely. Country: Belgium Since 2003, marriages between persons of the same sex are included. Country: Belgium Change in definition (1980 - 2015): Data are based on events. The ages taken into account are not limited to 50. Country: Canada Change in definition (1995 - 2002): Data are based on events. Age refers to completed years. Country: Canada Change in definition (1995 - 2002): Data are based on events. Age refers to completed years. Country: Canada Reference period (2000): Data refer to 1998 Country: Canada Reference period (2000): Data refer to 1998 Country: Croatia Data are based on events. Country: Cyprus Data cover only government controlled area. Country: Cyprus Data cover only government controlled area. Country: Denmark Data are based on events. Country: France Data do not cover overseas territories. 2007, 2008: Preliminary data. Country: Germany Change in definition (1980 - 2012): Data are based on events and include all ages. Country: Germany Change in definition (1980 - 2012): Data are based on events and include all ages. Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Greece Before 1991: data were based on the de facto population. From 1991: data are based on the de jure population. Break in time series in 2000. Before 2000 mean age was calculated on the basis of events. From 2000 onwards calculations are based on rates. Country: Hungary Data are based on events and include all ages. Country: Iceland Data are based on events and include all ages. Country: Ireland Data are based on events and include all ages. Data refer to year of registration which can include data from previous years. Country: Ireland Data cover Republic of Ireland only. Country: Israel Change in definition (1980 - 1995): Data are based on events Country: Italy Data related to 2002-2011 are calculated using intercensal register population estimates. From 1980 to 2003 the mean age at first marriage is based on events, not on rates. Country: Malta Data refer to the average of the different ages. Country: Norway Break in methodology (1995): Calculation of per cent unmarried at age 50. Country: Portugal Data are based on events by age groups, using as weights the middle point of each age group, from 16 until 75 and over. From 2010 figures include same-sex civil marriages. Country: Serbia Data are based on events and include all ages. From 1997: data do not cover Kosovo and Metohija. Country: Spain Change in definition (1980 - 2013): Data are limited to age 60. Country: Spain Change in definition (1980 - 2013): Data are limited to age 60. Country: Sweden Break in methodlogy (2009): Includes same -sex marriages. Country: Sweden Break in methodlogy (2009): Includes same -sex marriages. Country: United Kingdom Additional information (1980 - 2010): Data are not standardised and take no account of the structure of the population by age or marital status. Country: United Kingdom Additional information (1980 - 2010): Data are not standardised and take no account of the structure of the population by age or marital status. Country: United Kingdom Territorial change (1980 - onwards): Data refer to England and Wales only. Country: United Kingdom Territorial change (1980 - onwards): Data refer to England and Wales only. Country: United States 1980-1990: based on the actual marriages. From 1995: estimates of the median age at first marriage.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 30 四月, 2019
      选择数据集
      .. - data not available Source: UNECE Statistical Database, compiled from national and international (Eurostat and UNICEF TransMONEE) official sources. Definition: The mean age of women at birth of first child is the weighted average of the different childbearing ages, using as weights the age-specific fertility rates of first-order births. General note: Data come from registers, unless otherwise specified. Data for 2010 come from the European Demographic Data Sheet (Wittgenstein Centre) for the following countries: Albania, Cyprus, Malta, Montenegro, Sweden and Turkey. Country: Belgium Change in definition (1980 - 2000): Data are based on events. Country: Canada 2000 : data refer to 1999. Country: Cyprus Data cover only the government controlled area. Data are based on events and not on fertility rates. Break in series - 2010: change is source. Country: Finland Change in definition (1980): Data refer to children born in marriages. Country: France Break in series - 2007: change is source. Country: Georgia From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). Country: Germany Break in methodlogy (2009): From 2009 data refer to biological birth order. Country: Germany Change in definition (1980 - 2008): Data refer to children born in marriages. Data are based on events. Country: Germany Territorial change (1980 - 1990): Data cover only West Germany (Federal Republic of Germany). Country: Germany Territorial change (1995 - 2012): Data refer to reunified Germany, i.e. include the ex-German Democratic Republic (East Germany). Country: Greece Before 1991: data were based on the de facto population. From 1991: data are based on the de jure population. Break in time series in 2000. Before 2000 mean age was calculated on the basis of events. From 2000 onwards calculations are based on rates. Country: Ireland Data are based on events and not on fertility rates. For 2007-2008, data refer to yera of registration and could include data from previous years. Country: Ireland Data cover the Republic of Ireland only. Country: Israel Data are based on events. Country: Italy Additional information (2000 - 2011): Since 1/1/1999 data by birth order are estimated using resident population registers and sample surveys. Data related to 2002-2011 are calculated using intercensal register population estimates. Country: Luxembourg Change in definition (1995 - onwards): Data are based on events Country: Malta Data refer to the average of the different childbearing ages of first-order births. Country: Montenegro Break in series - 2010: change is source. Country: Norway Data is calculated based on actual age at first births. Country: Portugal Data are based on events by age groups, using as weights the middle point of each five years age groups, from 15 to 49 Country: Russian Federation From 2000: break in series; estimates based on available data from territories that produce data on birth by order and single ages of mother. Country: Serbia Data do not cover Kosovo and Metohija. Country: Sweden Break in series - 2010: change in source. Country: Switzerland Change in definition (1980 - 2012): Data refer to married women only. Country: United Kingdom Territorial change (2000 - onwards): Data refer to England and Wales.
    • 十月 2018
      来源: Eurostat
      上传者: Knoema
      访问日期: 03 十一月, 2018
      选择数据集
      The median age of a given population is the age separating the group into two halves of equal size. In the case of this indicator it means that half of the student population, i.e. persons enrolled in tertiary education (ISCED levels 5 and 6), is younger than the median age and the other half is older.
    • 二月 2015
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 20 九月, 2015
      选择数据集
      Midyear population for selected Countries
  • N
  • O
    • 十月 2019
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 03 十月, 2019
      选择数据集
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
      选择数据集
      .. - data not available Source: UNECE Statistical Database, compiled from national official sources. Definition:One parent families are families composed by a lone parent with one or more children. A child refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of the parent, and who has no partner or own child(ren) in the same household. General note: Data come from population censuses, micro-censuses and household sample surveys, unless otherwise specified. Country: Armenia Change in definition (2004 - onwards): Children under age 15 actually correspond to those under 18. Country: Austria Break in methodlogy (2004): Change in data collection procedure. Country: Austria Break in methodlogy (2004): Change in data collection procedure. Country: Belarus Change in definition (2000 - 2009): Data refer to one parent families with children aged under 18. Country: Belarus Change in definition (2000 - 2009): Data refer to one parent families with children aged under 18. Country: Belarus Reference period (2000): Data refer to 1999. Country: Belarus Reference period (2000): Data refer to 1999. Country: Belgium Break in methodlogy (2000 - 2008): data are from population register Country: Belgium Break in methodlogy (2000 - 2008): data are from population register Country: Belgium Reference period (1980): Data refer to 1981 Country: Belgium Reference period (1980): Data refer to 1981 Country: Belgium Reference period (1990): Data refer to 1991 Country: Belgium Reference period (1990): Data refer to 1991 Country: Bulgaria Reference period (1980): Data refer to 1985 Country: Bulgaria Reference period (1980): Data refer to 1985 Country: Bulgaria Reference period (1990): Data refer to 1992 Country: Bulgaria Reference period (1990): Data refer to 1992 Country: Bulgaria Reference period (2010): Data refer to 2011 Country: Bulgaria Reference period (2010): Data refer to 2011 Country: Canada Break in methodlogy (2001): Change in definition of children. Country: Canada Change in definition (1980 - 2011): Data refer to children under 15 in lone parent families Country: Canada Reference period (1980): Data refer to 1981 Country: Canada Reference period (1990): Data refer to 1991 Country: Canada Reference period (1995): Data refer to 1996 Country: Croatia Change in definition (1980 - 1990): Data refer to population with permanent residence irrespective of actual residence and duration. Country: Croatia Change in definition (1980 - 1990): Data refer to population with permanent residence irrespective of actual residence and duration. Country: Croatia Change in definition (2001 - 2011): Data refer to usual resident population. Country: Croatia Change in definition (2001 - 2011): Data refer to usual resident population. Country: Croatia Reference period (1980): Data refer to 1981 Country: Croatia Reference period (1980): Data refer to 1981 Country: Croatia Reference period (1990): Data refer to 1991 Country: Croatia Reference period (1990): Data refer to 1991 Country: Cyprus Territorial change (2011): Data cover only government controlled area. Country: Cyprus Territorial change (2011): Data cover only government controlled area. Country: Czechia Refer to one parent families with economically inactive dependent children aged 0-25. Country: Czechia Refer to one parent families with economically inactive dependent children aged 0-25. Country: Estonia Change in definition (2001 - 2007): Data refer to one parent families with children aged under 18. Country: Estonia Change in definition (2008 onward): Data refer to one parent families with children aged 0?17 and persons aged 18-24 who are economically inactive and living with at least one parent. Country: France Break in methodlogy (2006 - 2010): The census is based on annual data collection, successively surveying all the municipal territories over a five-year period. Country: France Break in methodlogy (2006 - 2010): The census is based on annual data collection, successively surveying all the municipal territories over a five-year period. Country: France Reference period (2000): Data refer to 1999. Country: France Reference period (2000): Data refer to 1999. Country: France Territorial change (1990 - 2010): Data cover Metropolitan France and overseas departments (Guadeloupe, Martinique, Reunion, French Guiana) Country: France Territorial change (1990 - 2010): Data cover Metropolitan France and overseas departments (Guadeloupe, Martinique, Reunion, French Guiana) Country: Germany Break in methodlogy (1980): From 1980 to 2004, data refer to one reporting week Country: Germany Break in methodlogy (1980): From 1980 to 2004, data refer to one reporting week Country: Germany Break in methodlogy (2005): From 2005, annual avarage figures Country: Germany Break in methodlogy (2005): From 2005, annual avarage figures Country: Germany Change in definition (1980 - 1995): Data refer to single mother/father with or without a partner living in the same household (but not married) Country: Germany Change in definition (1980 - 1995): Data refer to single mother/father with or without a partner living in the same household (but not married) Country: Germany Change in definition (2000 - 2012): Data refer to single mother/father without a partner living in the same houshold Country: Germany Change in definition (2000 - 2012): Data refer to single mother/father without a partner living in the same houshold Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Hungary Change in definition (1980 - 2011): Data refer to one parent families with children aged under 15 and never married. Country: Hungary Change in definition (1980 - 2011): Data refer to one parent families with children aged under 15 and never married. Country: Iceland Change in definition (1980 - 1995): Data refer to one parent families with children aged under 16. Country: Iceland Change in definition (1980 - 1995): Data refer to one parent families with children aged under 16. Country: Iceland Change in definition (2000): Data refer to one parent families with children aged under 18. Country: Iceland Change in definition (2000): Data refer to one parent families with children aged under 18. Country: Ireland Reference period (1995): Data refer to 1996 Country: Ireland Reference period (1995): Data refer to 1996 Country: Israel Break in methodology (2012): The Labour Force Survey has been changed from a quarterly format to a monthly format. Country: Israel Children in one parent families where at least 1 child under 15 refer to children of any age in one parent families Country: Kazakhstan Reference period (2000): Data refer to 1999. Country: Kazakhstan Reference period (2000): Data refer to 1999. Country: Kyrgyzstan Reference period (1980): Data refer to 1979 Censuses (17 January) Measurement: Number of families , Country: Kyrgyzstan Reference period (1990): Data refer to 1989 Censuses (12 January) Country: Kyrgyzstan Reference period (2000): Data refer to 1999 Censuses (24 March) Measurement: Percent of all one parent families , Country: Kyrgyzstan Reference period (1990): Data refer to 1989 Censuses (12 January) Measurement: Children in one parent families , Country: Kyrgyzstan Reference period (1990): Data refer to 1989 Censuses (12 January) Measurement: Percent of all children in one parent families , Country: Kyrgyzstan Reference period (1990): Data refer to 1989 Censuses (12 January) Measurement: Average number of children in one parent families , Country: Kyrgyzstan Reference period (1990): Data refer to 1989 Censuses (12 January) Country: Latvia Change in definition (2011): In 2011 Census in Latvia the housekeeping concept of household was used instead of the household-dwelling concept used in the previous 2000 Census. Country: Latvia Change in definition (2011): In 2011 Census in Latvia the housekeeping concept of household was used instead of the household-dwelling concept used in the previous 2000 Census. Country: Lithuania Change in definition (2001 - 2011): Data refer to one parent families with children aged under 18. Country: Lithuania Change in definition (2001 - 2011): Data refer to one parent families with children aged under 18. Country: Luxembourg Reference period (1980): Data refer to 1981 Country: Luxembourg Reference period (1980): Data refer to 1981 Country: Luxembourg Reference period (1990): Data refer to 1991 Country: Luxembourg Reference period (1990): Data refer to 1991 Measurement: Number of families , Country: Malta Data refer to one parent families with children aged under 18 or in the age group 18-24 who are inactive. Data refer to number of households composed of one adult and one or more dependent children irrespective of the relationship between adult and child. Measurement: Children in one parent families , Country: Malta Data refer to one parent families with children aged under 18 or in the age group 18-24 who are inactive. Data refer to number of households composed of one adult and one or more dependent children irrespective of the relationship between adult and child. Measurement: Average number of children in one parent families , Country: Malta Data refer to one parent families with children aged under 18 or in the age group 18-24 who are inactive. Data refer to number of households composed of one adult and one or more dependent children irrespective of the relationship between adult and child. Country: Montenegro Change in definition (2003 - 2010): Data refer to one parent families with children aged under 25. Country: Montenegro Change in definition (2003 - 2010): Data refer to one parent families with children aged under 25. Country: Norway Data refer to one parent families with children aged under 18. See more about definitions: http://www.ssb.no/en/befolkning/statistikker/familie/aar/20--16-04-14?fane=om content Country: Poland Reference period (1980): Data refer to 1978 Country: Poland Reference period (1980): Data refer to 1978 Country: Poland Reference period (1990): Data refer to 1988 Country: Poland Reference period (1990): Data refer to 1988 Country: Portugal Reference period (1990): Data refer to 1991 Country: Portugal Reference period (1990): Data refer to 1991 Country: Romania Change in definition (1990): The reference is for the children in one parent families where at least 1 child is under 25 Country: Romania Change in definition (1990): The reference is for the children in one parent families where at least 1 child is under 25 Country: Romania Reference period (1990): Data refer to 1992 Country: Romania Reference period (1990): Data refer to 1992 Measurement: Children in one parent families , Country: Russian Federation Data refer to one parent families with children aged under 15. Measurement: Percent of all children in one parent families , Country: Russian Federation Data refer to one parent families with children aged under 15. Measurement: Average number of children in one parent families , Country: Russian Federation Data refer to one parent families with children aged under 15. Country: Serbia Reference period (1980): Data refer to 1981. Country: Serbia Reference period (1980): Data refer to 1981. Country: Serbia Reference period (1990): Data refer to 1991. Country: Serbia Reference period (1990): Data refer to 1991. Country: Serbia Territorial change (1980): Data refer to the whole territory of the Republic of Serbia Country: Serbia Territorial change (1980): Data refer to the whole territory of the Republic of Serbia Country: Serbia Territorial change (1990 - 2011): Data do not cover Kosovo and Metohija. Country: Serbia Territorial change (1990 - 2011): Data do not cover Kosovo and Metohija. Country: Slovakia Additional information (1980 - 1990): Detailed data from the 1980 and 1991 census about children in one parent-families are not available. Country: Slovakia Additional information (1980 - 1990): Detailed data from the 1980 and 1991 census about children in one parent-families are not available. Country: Slovakia Reference period (1990): Data refer to 1991 Country: Slovakia Reference period (1990): Data refer to 1991 Country: Slovenia Change in definition (1980 - 1990): Data refer to de jure population and one parent families with never married children Country: Slovenia Change in definition (1980 - 1990): Data refer to de jure population and one parent families with never married children Country: Slovenia Change in definition (2002): Data refer to de facto population. Country: Slovenia Change in definition (2002): Data refer to de facto population. Country: Slovenia Reference period (1980): Data refer to 1981 Country: Slovenia Reference period (1980): Data refer to 1981 Country: Slovenia Reference period (1990): Data refer to 1991 Country: Slovenia Reference period (1990): Data refer to 1991 Country: Spain Change in definition (2001, 2011): If two or more "one-parent families" are found inside the same household, all of them are counted. Country: Spain Change in definition: For 2011 all data are rounded to the closest integer multiple of 5. From 2013 all data are rounded to the closest integer multiple of 100. Country: Sweden Since 2011, the source is register-based household statistics. Reported figures are based on estimated relations between those who occupy the same housing unit. Figures refer to all households defined as one parent families. Children are classified based on four different types of relations. Biological parents with children and adoptive parents with children are the two most common types of relations. Children classified by guardianship and ''Other person'' account for a small share. Individuals are classified as children regardless of age if they live with their biological or adoptive parents and don’t have any children or partner in the same household. Single parents with children who share a housing unit with other occupants are not included in the reported figures. Country: Switzerland Additional information (1980 - 2000): Data are based on traditional census (full field enumeration) Country: Switzerland Break in methodlogy: From 2010 data are based on sample survey of the resident permanent population 15 + Country: Turkey Additional information (2002 - 2007): The variable of "type of household" was asked directly to the respondants. Country: Turkey Additional information (2002 - 2007): The variable of "type of household" was asked directly to the respondants. Country: Turkey Additional information (2008 - 2012): The variable of "type of household" was calculated at the offiice by using the variable named "relationship to the household head". Country: Turkey Additional information (2008 - 2012): The variable of "type of household" was calculated at the offiice by using the variable named "relationship to the household head". Country: Ukraine Change in definition (2002 - 2013): Children in one parent families& 39; include families where children do not have one or both parents. & 39;Children in one parent families, sex of parent unknown& 39; include number of households where children do not have both parents and live with relatives or other people. Measurement: Number of families , Country: Ukraine Change in definition (2002 - 2013): Children in one parent families& 39; include families where children do not have one or both parents. & 39;Children in one parent families, sex of parent unknown& 39; include number of households where children do not have both parents and live with relatives or other people. Country: Ukraine Territorial change (2002 - 2013): Territorial sample excluded localities (and the population living in them) which were radioactively contaminated by the Chernobyl disaster. Country: United States Break in methodlogy (2007): break in series in children data, change in definition of children in one parent families. Country: United States Break in methodlogy (2007): break in series in children data, change in definition of children in one parent families. Country: United States Change in definition (1980 - onwards): Data refer to one parent families with children aged under 18. Country: United States Change in definition (1980 - onwards): Data refer to one parent families with children aged under 18.
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition: A one person household consists of a person living alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multi-person household. General note: Data is limited to persons living in private households. Data come from population censuses, micro-censuses and household sample surveys, unless otherwise specified. .. - data not available Country: Albania 1990: data refer to 1989. Country: Austria Break in methodlogy (2004): Change in data collection procedure. Country: Azerbaijan Reference period (2000): Data refer to 1999. Country: Belarus Reference period (2000): Data refer to 1999. Country: Belgium Change in definition (2003 - 2013): Data for married couples include married same sex couples. Country: Belgium Reference period (1980): Data refer to 1981 Country: Belgium Reference period (1990): Data refer to 1991 Country: Bulgaria Reference period (1980): Data refer to 1985 Country: Bulgaria Reference period (1990): Data refer to 1992 Country: Bulgaria Reference period (2010): Data refer to 2011 Country: Canada Reference period (1980): Data refer to 1981 Country: Canada Reference period (1990): Data refer to 1991 Country: Canada Reference period (1995): Data refer to 1996 Country: Croatia Change in definition (1980 - 1990): Data refer to population with permanent residence irrespective of actual residence and duration. Country: Croatia Change in definition (2001 - 2011): Data refer to usual resident population. Country: Croatia Reference period (1980): Data refer to 1981 Country: Croatia Reference period (1990): Data refer to 1991 Country: Cyprus Change in definition (1980 - 2011): Age group 0-29 refers to 15-24; age group 30-64 refers to 25-64. Country: Cyprus Reference period (1990): Data refer to 1992 Country: Cyprus Territorial change (1980 - 2011): Data cover only government controlled area. Country: Czechia Change in definition (1995 - 2013): Age group 0-29 refers to 15-29. Country: Estonia Break in methodlogy (2008): Change from Household Budget Survey to EU-SILC Country: France Additional information (1990 - 2010): Data cover Metropolitan France and overseas departments (Guadeloupe, Martinique, Reunion, French Guiana) Country: France Break in methodlogy (2006 - 2010): The census is based on annual data collection, successively surveying all the municipal territories over a five-year period. Country: France Reference period (2000): Data refer to 1999. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhaz AR and Ossetia. Country: Georgia Break in series (2014): data for 2014 are from the Population Census, for other years are from the Integrated Household Survey Country: Germany Break in methodlogy (1980): From 1980 to 2004, data refer to one reporting week Country: Germany Break in methodlogy (2005): From 2005, annual avarage figures Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Ireland Reference period (1995): Data refer to 1996 Country: Israel Break in methodology (2012): The Labour Force Survey has been changed from a quarterly format to a monthly format. Country: Israel Data refer to persons aged 15+ living in one person households. Country: Kyrgyzstan Reference period (2000): Data refer to 1999 Country: Latvia Change in definition (2011): In 2011 Census in Latvia the housekeeping concept of household was used instead of the household-dwelling concept used in the previous 2000 Census. Country: Luxembourg Reference period (1980): Data refer to 1981 Country: Luxembourg Reference period (1990): Data refer to 1991 Country: Norway See more about definitions: http://www.ssb.no/en/befolkning/statistikker/familie/aar/20--16-04-14?fane=om content Country: Poland 1980, 1990: data refer to 1978, 1988. Country: Portugal Reference period (1990): Data refer to 1991 Country: Romania Reference period (1990): Data refer to 1992 Country: Serbia Reference period (1980): Data refer to 1981 Country: Serbia Reference period (1990): Data refer to 1991. With provisional data for Bujanovac and Presevo. Country: Serbia Territorial change (1980): Data refer to the whole territory of the Republic of Serbia Country: Serbia Territorial change (1990 - 2011): Data do not cover Kosovo and Metohija. Country: Slovakia Additional information (1980): Detailed data about one person-households from the 1980 census are not available. Country: Slovenia Change in definition (1990): Data refer to de jure population. Country: Slovenia Change in definition (2002): Data refer to de facto population. Country: Slovenia Reference period (1990): Data refer to 1991 Country: Spain Additional information: For 2011 all data are rounded to the closest integer multiple of 5. From 2013 all data are rounded to the closest integer multiple of 100. Country: Switzerland Additional information (1980 - 2000): Data are based on traditional census (full field enumeration) Country: Switzerland Break in methodlogy (2010 - 2011): Data are based on sample survey of the resident permanent population 15 + Country: Turkey Additional information (2002 - 2007): The variable of "type of household" was asked directly to the respondants. Country: Turkey Additional information (2008 - 2012): The variable of "type of household" was calculated at the offiice by using the variable named "relationship to the household head". Country: Ukraine Territorial change (2000 - 2013): Territorial sample excluded localities (and the population living in them) which were radioactively contaminated by the Chernobyl disaster. Country: United Kingdom Reference period (1980): Data refer to 1981 census Country: United Kingdom Reference period (1990): Data refer to 1991 census Country: United Kingdom Territorial change (1980 - 1990): Data cover only Great Britain. Country: United Kingdom Territorial change (2000 - onwards): Data cover Great Britain and Northern Ireland
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    • 三月 2019
      来源: National Institute of Statistics, Italy
      上传者: Knoema
      访问日期: 04 三月, 2019
      选择数据集
      Data source(s) used: Persons convicted for crime with irrevocable judgement: Survey on convicted persons for felony and misdemeanor with irrevocable judgement, type of crimes and misdemeanors committed, main features of the convicted persons and of the sentence. Other data characteristics: The number of persons convicted by type of crime is calculated on the most serious crime committed. The number of convicted persons by final judgement and the number of crimes is available with reference to two types of classifications. An analytical classification including about 470 items of crime, and a synthetic one, where the individual items are hierarchically grouped in 130 items broadly reflecting the Titles, Books and Sections of the Italian Penal Code. The complementary legislation is organized grouping the type of crimes by subject. The analytical classification of the types of crimes committed is given only in Italian language, as many crimes present in the Italian legislation do not have an exact match in the laws of other Countries. The literal translation of this classification is not available because the meaning of the legal terms translated into English could lead to misleading interpretations. An international classification is not available yet. "Number of concurrent crimes" means the total number of crimes committed by the convicted person. "1" means that the offender committed only one kind of crime. "2", "3", "4 and over" mean that, in addition to the most serious crime evident in the table, the offender committed other crimes.
    • 三月 2016
      来源: Organisation for Economic Co-operation and Development
      上传者: Knoema
      访问日期: 28 十一月, 2016
      选择数据集
      The Population and Vital Statistics dataset presents components of change in the population during one year and mid-year population data for the 34 OECD member countries. Data are presented in thousands of persons and as rates in per 1000. The components of change in the population during one year are presented as follow: the first statistics refer to the population on January 1st for each year, the natural increase of the population is the difference between the number of births and deaths over the calendar year, the addition of net migration and statistical adjustments to the natural increase gives the total increase of the population over the calendar year. The addition of the total population increase to the population on January 1st gives the population on December 31st. Note: No longer this dataset be collected by OECD. Population and demographic events are available from the United Nation database at "https://esa.un.org/unpd/wpp/Download/Standard/Population/."    
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition: Body Mass Index (BMI) is the international standard for measuring underweight, overweight, and obesity and is defined as the weight of a person (in kg) divided by the square of the person’s height (in metres): kg/sqm. Standard BMI categories are: BMI less than 18.5 kg/sqm = underweight. BMI between 25 and 30 kg/sqm = overweight. BMI 30kg/sqm and more = obesity. General note: Percentage .. - data not available Country: Armenia 2005: Data refer to population aged 15-49 and age groups: 20-44 refers to 20-29, 45-64 refers to 30-39 and 65+ refers to 40-49. Country: Austria Break in methodlogy (2006): Data for 2006 come from the Autrian Health Interview Survey, before 2006 from the Labour force Survey ad hoc module on smoking habits. Country: Austria Change in definition (1990): Data refer to population aged 20+. Country: Austria Change in definition (2000): Data refer to population aged 20+ Country: Austria Reference period (1990): Data refer to 1991. Country: Austria Reference period (2000): Data refer to 1999. Country: Belarus Data refer to population aged 16+. Country: Belgium 15-19 age group refers to 18-19 years old Country: Bulgaria Break in methodlogy (2008): 2008 data come from the European Health Interview Survey and 2001 from the Demographic and Health survey. Country: Canada Data exclude institutional residents and full-time members of the Canadian Forces. Country: Canada Data exclude residents of Indian Reserves, Crown Lands and certain remote regions. Country: Croatia Change in definition (2003): Data refer to population aged 18+. Country: Cyprus Data cover only government controlled area. Country: Czechia 1990, 1995 and 2000: data refer to 1993, 1996 and 1999. Country: Denmark Data refer to population aged 16+ and age group 15-19 refers to 16-19. Country: Denmark Data collection mode changed from face-to-face interview to self-administered questionnaires in 2010. Country: Denmark Reference period (1990): Data refer to 1987. Country: Denmark Reference period (1995): Data refer to 1994. Country: Estonia Data refer to population aged 16-64. Country: Estonia Reference period (1995): Data refer to 1996 Country: Finland Data refer to population aged 15-64. Age group 65+ refers to 65-84 year olds. Country: France BMI is calculated on the basis of the declared weight of respondents. Country: France Reference area: 2003, 2014 - Metropolitan France; 2008 - Metropolitan France and overseas departments. Country: Germany Data refer to population aged 18+. 2000: data refer to 1999. Country: Hungary Data refer to population aged 18+. Country: Iceland Data refer to population aged 20-80 except in 2007 and 2012 where data refer to population aged 18-79. Data are not published for the age group 18-24 (15-24) as figures are too small. Country: Ireland Data refer to population aged 18+. Age group 15-19 refers to 18-19. - 2000: data refer to 1998. From 2015, data refer to population aged 15 and over and are measured data. Individuals interviewed in the Health Ireland survey 2015 survey were asked to undertake a physical measurement module. Country: Israel Break in methodlogy (2010): For 2010 data come from the Social Survey while for 2003 data come from the Knowledge, attitude and practice (KAP) Survey. Country: Israel Change in definition (2003): Data refer to population aged 21+. Country: Israel Change in definition (2010): Data refer to population aged 20+. Country: Italy Change in definition (1990 - 2012): Data refer to population aged 18+. Country: Italy Reference period (1995): Data refer to 1994. Country: Italy Reference period (2000): Data refer to 1999/2000. Country: Latvia Data for 2003 - from the Health Interview Survey. Data cover population 15-75 years old.Data for 2004, 2006, 2010 and 2012 - from Health Behaviour Survey among Latvian Adult population. Data cover population 15-64 years old.Data for 2008 and 2014 - from the European Health iInterview Survey (EHIS). Data cover population 15+, age groups: 15-19 refers to 15-24; 20-44 refers to 25-44. Country: Malta Data refer to population aged 18+ residing in private households. 2003: data for age group 15 - 24 are not available due to under-representation. Country: Netherlands Data refer to population aged 20 and over. Overweight: BMI 25 kg/sqm or more. In 2014, interviewing and weighting method was changed, causing a break in the time series. Country: Netherlands Reference period (1980): Data refer to 1981. Country: Norway Change in definition (1995 onward): Data refer to population 16 years +. Data on height and weight are self-reported. Country: Norway Reference period (2000): Data refer to 1998. Country: Poland Reference period (1995): Data refer to 1996. Country: Portugal Data for age group 15-19 refers to 18-19. 2000: data cover mainland territory (without Autonomous Regions of Acores and Madeira) and refers to 1998-1999. 2005: data refers to 2005-2006 (all territory). 2014: data with a coefficient of variation of 20% or more are not disseminated. Body Mass Index is reported for persons 18+ years. Country: Russian Federation Data refer to age groups 14-18 and 19-44 instead of 15-19 and 20-44 Country: Slovakia Until 2009, data refer to population aged up to 64. In 2009 and 2014 some values are not shown due to low sample sizes. Country: Slovakia Reference period (1990): Data refer to 1993. Country: Slovakia Reference period (1995): Data refer to 1998. Country: Slovakia Territorial change (1990): Data cover 2 districts (Banska Bystrica and Brezno) Country: Slovakia Territorial change (1995): Data cover 3 districts (Banska Bystrica, Brezno and Trebisov) Country: Slovakia Territorial change (2003): Data cover 9 districts (Banska Bystrica, Brezno, Trebisov, Dunajska Streda, Dolny Kubin, Nove Zamky, Bratislava II, Kosice II and Roznava). Country: Slovenia Break in methodlogy (2007): Data for 2007 comes from the European Health Interview Survey, for other years from the Countrywide Integrated Noncommunicable Disease Intervention survey Country: Slovenia Change in definition (2001 - 2004): Data for population aged 25-64. Country: Slovenia Change in definition (2008 - 2012): Data for population aged 25-74. Country: Spain Break in methodlogy (2003): Proxy were allowed Country: Spain Change in definition (2001): Data refer to Spanish nationals only aged 16+. Country: Spain Change in definition (2006): Age group 15-19 refers to 18-44. Country: Spain Change in definition (2009 onward): Age group 15-24 refers to 16-24. For population aged 16-17 overweight and obesity cut offs are defined according to Cole et al. BMJ 2000;320:1240-3, and underweight cut offs according to Cole et al. BMJ 2007;335:194-7. Country: Sweden Change in definition (1980 - 2001): Obesity: BMI>30 kg/sqm. Data refer to population aged 16-84; data for age group 65+ refers to 65-84. Country: Sweden Change in definition (2002 - 2010): Obesity: BMI>30 kg/sqm. Data refer to population aged 16+, data for age group 15-19 refers to 16-19. Country: Sweden Change in definition (2011 - onwards): Data refer to population aged 16+, data for age group 15-19 refers to 16-19. Country: Sweden Reference period (1990): Data refer to 1989 Country: Sweden Reference period (1995): Data refer to 1996 Country: Switzerland Reference period (1990): Data refer to 1992. Country: Switzerland Reference period (1995): Data refer to 1997. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine Change in definition (2006 onwards): Age group 15-19 refers to 18-19. Age group 65+ refers to 70+. Country: Ukraine Territorial change (2006 onwards): The territorial sample exclude localities in the territory which was radioactively contaminated by the Chernobyl disaster . Country: United Kingdom Change in definition (1995 - onwards): Data collected from 16 years of age rather than 15. Country: United Kingdom Territorial change (1995 - onwards): Data cover England only. Country: United States For 1980 and 1990 data refer to 1976-1980 and 1988-1994 respectively. Since 2000, data for the reference year refer to the range of this year and the previous one.
    • 九月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 25 九月, 2019
      选择数据集
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 11 六月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national and international (Eurostat and UNICEF TransMONEE) official sources. Definition: Total mid-year or annual average population. Total population provided in this table may slightly differ from total population provided in Economic Statistics, due to the use of different sources. Age groups: For the EU and EFTA member states age group 85-89 refers to the population of 85+ unless otherwise explicitly shown. For other countries please see Country Footnotes. Regional aggregates are computed by UNECE secretariat. For more details, see the composition of regions note. Due to rounding, there may be slight differences between regional aggregates and the sum of the population of all component countries. .. - data not available Country: Albania Reference period (1990 - 2000): data refer to 1 January and are based on previous population censuses. Country: Albania Reference period (2001 - 2012): data refer to mid-year and are estimated on the basis of 2001 Population Census Country: Albania Reference period (2010-2015): data refer to group age 85-89 are the data for the group age 85+ Country: Armenia Change in definition (1990): Age group 80-84 refers to 80+ Country: Armenia Change in definition (2001 - 2004): Age group 85-89 refers to 85+ Country: Belarus Change in definition (2000 - onwards): age group 85-89 refers to 85+. Country: Bosnia and Herzegovina Break in methodology (1980): Data estimated from the National Statistical Office Country: Bosnia and Herzegovina Break in methodology (2001): Data estimated from the World Population Prospects Country: Bosnia and Herzegovina Change in definition (2010 - 2013): Population 85-89 refers to 85+ Country: Bosnia and Herzegovina Data for 2013 are from the population census and refer to 30/09/2013. Large drop in population from 2012 to 2013 due to change of sources (administrative data to census data). Country: Canada 1980-2004 : age group 90-94 refers to 90+. Country: Croatia 1980 : data refer to 31 March 1981. From 2001 : age group 85-89 refers to 85+. Country: Cyprus Data cover only the area controlled by the Republic of Cyprus. 1980 : data refer to 1982; age group 70-74 refers to 70+. From 2000: age group 85-89 refers to 85+. Country: Georgia Change in definition (1990 - 2012): Age group 85-89 refers to 85+. Country: Georgia Territorial change (1995 onward): Data do not cover Abkhazia AR and Tskhinvali Region. Country: Georgia The decrease of population between 2014 and 2015 related to results of Census 2014. Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Ireland From 2000, age group 85-89 refers to 85+. Country: Israel Reference period (1980): age group 80-84 refers to 80+. Country: Israel Reference period (1995, 2000, 2003, 2004): age group 90-94 refers to 90+. Country: Kazakhstan Change in definition (1990 - 2002): age group 75-79 refers to 75+. Country: Kyrgyzstan Imputed values (1980 - onwards): Data reflect the average resident population Country: Malta From 2001: data include foreign residents. Country: Moldova, Republic of From 2001: age group 85-89 refers to 85+. Country: Montenegro Break in series in 2011: data is based on the latest population census. Between 2000-2013, age group 85-89 refers to 85+. Country: Russian Federation Reference period (1980): Data for 1980 at the beginning of the year. Country: Serbia From 2000 : data do not cover Kosovo and Metohija. Country: Serbia Data on population estimates for the period 2000-2010 were based on the Census 2002 results while the data for the period 2011-2015 were based on the Census 2011 results. Country: Slovenia 1980 and from 2000 : age group 85-89 refers to 85+. Country: Tajikistan Change in definition (1990 - 1995): Age group 75-79 refers to 75+. Country: Tajikistan Change in definition (2007): Data refer to beginning of year Country: The former Yugoslav Republic of Macedonia From 2000: age group 85-89 refers to 85+. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine 1980 : data refer to 1979. 1990 : data refer to 1989.
    • 五月 2015
      来源: Earth Policy Institute
      上传者: Knoema
      访问日期: 26 六月, 2015
      选择数据集
      This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition:A private household is either: (a) One person household consisting of a person living alone in a separate housing unit or who occupies, as a lodger, a separate room (or rooms) of a housing unit but does not join with any of the other occupants of the housing unit to form part of a multi-person household OR (b) Multi-person household consisting of a group of two or more persons who combine to occupy the whole or part of a housing unit and to provide themselves with food and possibly other essentials for living. The group may be composed of related persons only or of unrelated persons or of a combination of both. The group may also pool their income. Couple: A couple is defined as a man and woman living as a married couple, a registered couple or a couple who lives in a consensual union (cohabiting). Two persons are considered as partners in a consensual union when they have usual residence in the same household, have a marriage-like relationship but are not married to each other. Child: A child refers to a blood, step- or adopted son or daughter (regardless of age or marital status) who has usual residence in the household of the parent, and who has no partner or own child(ren) in the same household. General note: Data come from population censuses, micro-censuses and household sample surveys, unless otherwise specified. .. - data not available Country: Albania Break in methodlogy (2011): Households with three generations included in Other; Country: Austria Break in methodlogy (2004): Change in data collection procedure. Country: Belarus Reference period (2000): Data refer to 1999. Country: Belgium Change in definition (2003 - 2013): Data for married couples include married same sex couples. Country: Belgium Reference period (1980): Data refer to 1981 Country: Belgium Reference period (1990): Data refer to 1991 Country: Bulgaria Reference period (1980): Data refer to 1985 Country: Bulgaria Reference period (1990): Data refer to 1992 Country: Bulgaria Reference period (2010): Data refer to 2011 Country: Canada Change in definition (1980): Cohabiting couples are included within the married couples category. Data for lone-parent and couple (married and common-law) households with/without children refer to households with one census family. Households with multiple census families are included in the category of Other households. Country: Canada Change in definition (1990 - 2011): Data for lone-parent and couple (married and common-law) households with/without children refer to households with one census family. Households with multiple census families are included in the category of Other households. Country: Canada Reference period (1980): Data refer to 1981 Country: Canada Reference period (1990): Data refer to 1991 Country: Canada Reference period (1995): Data refer to 1996 Country: Croatia Change in definition (1980 - 1990): Data refer to population with permanent residence irrespective of actual residence and duration. Country: Croatia Change in definition (2001 - 2011): Data refer to usual resident population. Country: Croatia Reference period (1980): Data refer to 1981 Country: Croatia Reference period (1990): Data refer to 1991 Country: Cyprus Reference period (1980): Data refer to 1982 Country: Cyprus Reference period (1990): Data refer to 1992 Country: Cyprus Territorial change (1980 - 2011): Data cover only government controlled area. Country: Czechia Change in definition (1980 - 2013): Data refer to couples with economically inactive dependent children aged 0-25. Country: Estonia Change in definition (2001 - 2007): Data refer to one parent families with children aged under 18. Country: Estonia Change in definition (2008 onward): Data refer to one parent families with children aged 0?17 and persons aged 18-24 who are economically inactive and living with at least one parent. Country: France Additional information (1990 - 2010): Data cover Metropolitan France and overseas departments (Guadeloupe, Martinique, Reunion, French Guiana) Country: France Break in methodlogy (2006 - 2010): The census is based on annual data collection, successively surveying all the municipal territories over a five-year period. Country: France Reference period (2000): Data refer to 1999. Country: Georgia Sum of households with married couples and households with cohabitating couples may not sum to total households with couples as some households include both married couples and cohabitating couples. Country: Georgia Territorial change (2000 onward): Data do not cover Abkhazia AR and Tskhinvali Region Country: Germany Break in methodlogy (1980): From 1980 to 2004, data refer to one reporting week Country: Germany Households with three and more generations are also included in all other household types with children living in this household. From 2005, data refer to annual avarage figures. Country: Germany Territorial change (1980 - 1990): Data refer to the former territory of the Federal Republic of Germany. Country: Hungary Change in definition (1980 - 2011): Data refer to couples with never married children. Multi-family households are included in category "Other". Country: Ireland Data on three generation households are included in other households. Country: Ireland Reference period (1995): Data refer to 1996 Country: Israel Break in methodlogy (2012): The Labour Force Survey has been changed from a quarterly formal to a monthly format. Country: Kazakhstan Reference period (2000): Data refer to 1999. Country: Kyrgyzstan Reference period (2000): Data refer to 1999 Country: Latvia Change in definition (2011): In 2011 Census in Latvia the housekeeping concept of household was used instead of the household-dwelling concept used in the previous 2000 Census. Country: Lithuania Change in definition (2001 - 2011): Data include stepchildren and adopted children, but exclude wards. Country: Luxembourg Reference period (1980): Data refer to 1981 Country: Luxembourg Reference period (1990): Data refer to 1991 Country: Montenegro Change in definition (2003): Data related to one family household Country: Norway Data refer to one parent families with children aged under 18. See more about definitions: http://www.ssb.no/en/befolkning/statistikker/familie/aar/20--16-04-14?fane=om content Country: Poland Reference period (1980): Data refer to 1978 Country: Poland Reference period (1990): Data refer to 1988 Country: Portugal Change in definition (1990 - 2011): Data on three generation households are included in & 39;other& 39; households. Country: Portugal Reference period (1990): Data refer to 1991 Country: Romania Change in definition (1990): Data do not include cohabiting couples. Country: Romania Reference period (1990): Data refer to 1992 Country: Serbia Reference period (1980): Data refer to 1981 Country: Serbia Reference period (1990): Data refer to 1991. With provisional data for Bujanovac and Presevo. Country: Serbia Territorial change (1980): Data refer to the whole territory of the Republic of Serbia Country: Serbia Territorial change (1990 - 2011): Data do not cover Kosovo and Metohija. Country: Slovakia Additional information (1980 - 1990): Detailed data from the 1980 and 1991 census about married and cohabiting couples are not available. Country: Slovakia Reference period (1990): Data refer to 1991 Country: Slovenia Change in definition (1980 - 1990): Data refer to de jure population and couples with never married children Country: Slovenia Change in definition (2002): Data refer to de facto population. Country: Slovenia Reference period (1980): Data refer to 1981 Country: Slovenia Reference period (1990): Data refer to 1991 Country: Spain Additional information: For 2011 all data are rounded to the closest integer multiple of 5. From 2013 all data are rounded to the closest integer multiple of 100. Country: Spain Change in definition (2001 - 2011): The category "Three-generation households" considers those households with exactly three generations inside and no more; the category "One-parent family households" considers only those households with only one parent family inside and no more people living there; the category "Couples households" considers only those households with only one couple (with or without children) and no more people living there. Country: Sweden Since 2011, the source is register-based household statistics. All persons who are registered at the same housing unit form part of the same household. Information about housing is missing for about 300 000 persons. These people are not included in the household statistics. Earlier data is based on a survey that used a housekeeping unit approach. A household-housing unit may contain several housekeeping units. Reported figures are based on estimated relations between those who occupy the same housing unit. Children are classified based on four different types of relations. Biological parents with children and adoptive parents with children are the two most common types of relations. Children classified by guardianship and ''Other person'' account for a small share. Individuals are classified as children regardless of age if they live with their parents/guardians and don’t have any children or partner in the same household. Single or cohabiting parents, with or without children, who live in a housing unit with other occupants are placed under other households. Information on three-generation households is only available from 2014. The figures refer to households where all persons in the household are part of the same generation chain, but where a person from the middle generation does not need to be present. Country: Switzerland Additional information (1980 - 2000): Data are based on traditional census (full field enumeration) Country: Switzerland Break in methodlogy (2010 - 2011): Data are based on sample survey of the resident permanent population 15 + Country: Switzerland Since 2012 the sum of household categories may differ from the total number of households due to different data sources used. Country: Turkey Additional information (2002 - 2007): The variable of "type of household" was asked directly to the respondants. Country: Turkey Additional information (2008 - 2012): The variable of "type of household" was calculated at the offiice by using the variable named "relationship to the household head". Country: Ukraine Change in definition (2000 - 2013): Children in one parent families& 39; include families where children do not have one or both parents. Country: Ukraine Territorial change (2000 - 2013): Territorial sample excluded localities (and the population living in them) which were radioactively contaminated by the Chernobyl disaster. Country: United Kingdom Reference period (1980): Data refer to 1981 census Country: United Kingdom Reference period (1990): Data refer to 1991 census Country: United Kingdom Territorial change (1980 - 1990): Data cover only Great Britain. Country: United Kingdom Territorial change (2000 - onwards): Data cover Great Britain and Northern Ireland Country: United States Break in methodlogy (2007): Revision of data collection tools. Cohabiting couples include all couples, not just coupled households. Country: United States Change in definition (1980 - 1995): Data on couples do not include unmarried partners Country: Uzbekistan Households consisting of a single couple are included in the category 'Couple households', households consisting of two or more couples are included in the category 'Other private households'
    • 七月 2019
      来源: Eurostat
      上传者: Knoema
      访问日期: 31 七月, 2019
      选择数据集
      This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education. The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection: the United Nations Educational, Scientific, and Cultural Organisation Institute for Statistics (UNESCO-UIS),the Organisation for Economic Co-operation and Development (OECD) and,the Statistical Office of the European Union (EUROSTAT). The following topics are covered: Pupils and students – Enrolments and EntrantsLearning mobilityEducation personnelEducation financeGraduatesLanguage learningData and indicators disseminated include e.g. participation rates at different levels of education,  shares of pupils and students by programme orientation (general/academic and vocational/professional) and in combined school and work-based programmes, enrolments in public and private institutions, tertiary education graduates, degree mobile students enrolled and graduates, pupil-teacher ratios, foreign language learning, expenditure on education per student and relative GDP etc.
  • R
    • 六月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 23 七月, 2019
      选择数据集
      Note:  The dataset is combination of two following datasets. https://knoema.com/USRAGE2013/ https://knoema.com/USRSD2013/ Under this version, both older version datasets have been merged with the latest data values and few added new indicators.  
    • 九月 2019
      来源: Wikipedia
      上传者: Knoema
      访问日期: 18 十月, 2019
      选择数据集
       
  • S
    • 五月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 03 六月, 2019
      选择数据集
      Source: UNECE Statistical Database, compiled from national official sources. Definition: Smoking is defined as the daily smoking of at least one cigarette. General note: Percentage .. - data not available Country: Armenia 1995: data refer to 1997. 2010: data refer to age group 15-49. Country: Austria Break in methodlogy (2006): Data for 2006 come from the Autrian Health Interview Survey, for 1995 from the Labour force Survey ad hoc module on smoking habits. Country: Austria Reference period (1995): Data refer to 1997. Country: Belarus Data refer to population aged 16+. Country: Bulgaria Break in methodlogy (2008): 2008 data come from the European Health Interview Survey and 2001 from the Demographic and Health survey. Country: Canada Data exclude institutional residents and full-time members of the Canadian Forces. Country: Canada Data exclude residents of Indian Reserves, Crown Lands and certain remote regions. Country: Croatia Change in definition (1995): data refer to age group 18-65. Country: Croatia Change in definition (2003): data refer to population aged 18+. Country: Croatia Reference period (2012): data refer to 2011. Country: Cyprus Reference period (1990): Data refer to 1989. Country: Cyprus Data cover only government controlled area. Country: Czechia 2004: data refer to population aged 18-64; age group 15-24 refers to 18-24. 1990, 1995 and 2000: data refer to 1993, 1996 and 1999. Country: Denmark Change in definition (1990 - 2013): Data refer to population aged 16+; age group 15-24 refers to 16-24. Country: Estonia Data refer to population aged 16-64; age group 15-24 refers to 16-24. Country: Estonia Reference period (1995): Data refer to 1996 Country: France Change in definition (1995 - 2000): Data refer to population aged 18-74; age group 15-24 refers to 18-24. Country: France Change in definition (2002 - 2014): Data refer to population aged 15-75 Country: France Territorial change (2002 - 2014): Data cover only Metropolitan France. Country: Germany 2000: data refer to 1999. Country: Iceland Change in definition (1990 - 2013): Data for smokers 15+ refers to persons aged 15-89. As of 2014, data refer to persons aged 18-89. Data for smokers aged 15-24 refers to persons aged 18-24 as of 2014. Country: Ireland Age group 15-24 refers to 15-23. 2000: data refer to 1998. 2000-2002: data include occasional smokers. 2003: data refer to people smoking one or more cigarettes a week. From 2015, data related to the population aged 15 and over who report that they are daily smokers. Country: Israel Additional information (1995 - 2013): Data are based on different surveys and methodologies across years. Country: Israel Change in definition (1995 - 2010): Data refer to population aged 20+. Country: Israel Change in definition (2003): Data refer to population aged 20+. Data refer to population aged 21+ and based on health survey. Country: Israel Change in definition (2013): Data refer to population aged 21+. Country: Israel Reference period (1995): Data refer to 1996-1997. Country: Israel Reference period (2000): Data refer to 1999-2000. Country: Israel Reference period (2003): Data refer to 2003-2004. Country: Italy Break in methodlogy (2001): From 2001 data come from survey "Aspects of daily life" , before 2001 data come from survey "Health condition and use of health services". Country: Italy Reference period (1995): Data refer to 1994. Country: Kazakhstan Age group 15+ refers to 15-49. Country: Latvia Data for 2003 - from the Health Interview Survey. Data cover population 15-75 years old.Data for 2004, 2006, 2010 and 2012 - from Health Behaviour Survey among Latvian Adult population. Data cover population 15-64 years old.Data for 2008 and 2014 - from the European Health iInterview Survey (EHIS). Data cover population 15+. Country: Malta Data refer to population aged 18+ residing in private households. Data for age group 15 - 24 are not available due to under-representation. Country: Moldova, Republic of Additional information (2010 - 2012): Data exclude the territory of the Transnistria and municipality of Bender Country: Moldova, Republic of Change in definition (2010 - 2012): Smoking is defined as daily smoking or smoking sometimes Country: Moldova, Republic of Reference period (2010): The survey was conducted in August-October 2010 Country: Moldova, Republic of Reference period (2012): The survey was conducted in July-September 2012 Country: Netherlands Change in definition (1990 - 1995): Data refer to population age 16+. Country: Netherlands Data include all types of smokers. In 2014, interviewing and weighting method was changed, causing a break in the time series. Country: Norway Change in definition (1980 - 2009): Date refer to three-year average. Country: Norway Data refer to population aged 16-74; age group 15-24 refers to 16-24. Country: Poland Reference period (1995): Data refer to 1996. Country: Portugal Before 2005: data cover only mainland territory (without Autonomous Regions of Acores and Madeira). 1995, 2000, 2005: data refer to 1995/1996, 1998/1999 and 2005/2006. Country: Romania Break in methodology (2009): From 2009 change in data source Country: Russian Federation Change in definition: Data refer to daily smokers of age 15+. Country: Slovenia Change in definition (1990): Data for population aged 15+ refer to age 18+. Country: Slovenia Change in definition (1995 - 2000): Data for population aged 15+ refer to age 18+. Age group 15-24 refers to 15-16. Country: Slovenia Change in definition (2001 - 2004): Data for population aged 25-64. Country: Slovenia Change in definition (2008 - 2012): Data for population aged 25-74. Country: Slovenia Reference period (1990): Data refer to 1988. Country: Slovenia Reference period (1995): Data refer to 1994. Country: Slovenia Reference period (2000): Data refer to 1999. Country: Spain Break in methodlogy (2003): Proxy were allowed Country: Spain Break in methodlogy (2009): Questionnaire self-administered Country: Spain Change in definition (1980 - 2003): Data refer to population aged 16+. Age group 15-24 refers to 16-24. Data refer to Spanish nationals only. Country: Spain Change in definition (2006 - 2009): Data refer to population aged 16+. Age group 15-24 refers to 16-24. Country: Spain Reference period (1990): Data refer to 1993. Country: Spain Reference period (2000): Data refer to 1997. Country: Sweden Change in definition (1980 - 2001): Age group 15+ refers to 16+, age group 15-24 refers to 16-24. Data refer to population aged 16-84. Country: Sweden Change in definition (2002 - onwards): Age group 15+ refers to 16+, age group 15-24 refers to 16-24. Country: Sweden Data do not include snuff users and smokers Country: Switzerland Reference period (1990): Data refer to 1992. Country: Switzerland Reference period (1995): Data refer to 1997. Country: Turkey Break in methodlogy (2006): Data come from the Life Satisfaction Survey. For other years data come from a different source. Country: Turkey Break in methodlogy (2008, 2012): Data for 2008 and 2012 come from the Global Adult Tobacco Survey. For other years data come from a different source. Country: Turkey Break in methodlogy (2010, 2014): Data come from the Health Interview Survey. For other years data come from a different source. Country: Ukraine From 2014 data cover the territories under the government control. Country: Ukraine Territorial change (2000 - 2013): The territorial sample exclude localities in the territory which was radioactively contaminated by the Chernobyl disaster . Country: United Kingdom Change in definition (1980 - onwards): Data refer to population aged 16+. Smokers are defined as anyone who has ever smoked and describes themselves as a current smoker. Age group 15-24 refers to 16-24. Country: United Kingdom Reference period (1995): Data refer to 1994. Country: United Kingdom Reference period (2005): Estimates prior to 2005 are based on a fiscal year rather than a calendar year. Country: United Kingdom Territorial change (1980 - onwards): Estimates are for Great Britain excluding Northern Ireland. Country: United States Data for 1980 include persons aged 17+, for all other years data refer to the population aged 18+. 1980, 1990: data refer to both daily and nondaily smokers.
    • 十二月 2015
      来源: Office of National Statistics, Mauritania
      上传者: Knoema
      访问日期: 11 一月, 2019
      选择数据集
      Data cited at: https://mauritania.opendataforafrica.org/MRSCD2015
  • T
    • 十一月 2015
      来源: Save the Children Federation
      上传者: Knoema
      访问日期: 07 十二月, 2015
      选择数据集
    • 十二月 2015
      来源: United Nations Statistics Division
      上传者: Sandeep Reddy
      访问日期: 19 八月, 2017
      选择数据集
      Data cited at: United Nations Statistics Division https://unstats.un.org/home/ Publication: https://unstats.un.org/unsd/gender/worldswomen.html License: https://creativecommons.org/licenses/by-nc/4.0/   The World’s Women 2015 comprises eight chapters covering critical areas of policy concern: population and families, health, education, work, power and decision-making, violence against women, environment, and poverty. In each area, a life-cycle approach is introduced to reveal the experiences of women and men during different periods of life—from childhood and the formative years, through the working and reproductive stages, to older ages. The statistics and analyses presented in the following pages are based on a comprehensive and careful assessment of a large set of available data from international and national statistical agencies. Each chapter provides an assessment of gaps in gender statistics, highlighting progress in the availability of statistics, new and emerging methodological developments, and areas demanding further attention from the international community
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 23 四月, 2019
      选择数据集
      Definition:Time use represents the average time spent on an activity per day (hours and minutes per day). All persons are included, whether they have performed this activity or not, and all days of the week, as well as working and holiday periods are included. Free time includes activities that are not defined in other time use categories. E.g, volunteer work and meetings, helping other households, socializing and entertainment, sports and outdoor activities, hobbies and games, reading, watching TV, resting or doing nothing. Socializing – includes visiting and receiving visitors, feasts, phone calls and conversation with family or friends, etc. Reading - includes reading periodicals, brochures, books, etc. Sports – includes walking and hiking, all kinds of sports (jogging, ball games, water sports, etc.) productive exercises (hunting, fishing, picking berries, etc.) and sport related activities. Hobbies and games – collecting, correspondence, solo games and play, parlour games and play, gambling, etc. Includes also visual, performing and literary arts. Volunteer work and help – includes work for/through an organization and informal help to other households. Note on data format: Data are reported in number of hours, where decimals represent hundredths of an hour (ex: 1.75 should be read 1 hour and 45 minutes; 0.20 should be read 12 minutes). .. - data not available Country: Armenia Data refer to October 2008 and to the population aged 15-80. Country: Austria Country: Bulgaria Reference period (2002): Data refer to 2001-2002. Country: Bulgaria Reference period (2010): Data refer to 2009-2010. Country: Canada Change in definition (1990 - 2010): Data refer to population aged 20 to 74. Country: Canada Reference period (1990): Data refer to 1992. Country: Canada Reference period (1995): Data refer to 1997. Country: Canada Territorial change (1990 - 2010): Data cover 10 provinces only. Country: Denmark Data covers persons who have been active in the category. Data refer to the population aged 16-74. 1990: data refer to 1987. 2009: data refer to 2008-2009. Country: Estonia Reference period (2000): Data refer to 1999-2000. Country: Estonia Reference period (2010): Data refer to 2009-2010. Country: France 2000: data refer to 1998-1999. 2010: data refer to 2009-2010. Data cover only Metropolitan France. Country: Germany Change in definition (2001): Data refer to the population aged 20-74. Country: Germany Reference period (2001): Data refer to the period from April 2001 to March 2002 Country: Greece Computing is not included in hobbies and games. Participatory activities are not included in volunteer work and help. Other activites - include participatory activities, entertainment and culture, resting - time out, computing, radio and recordings. All persons are included. Country: Hungary 2000: data refer to 1999-2000. 2010: data refer to 2009-2010. Country: Italy 2002: data refer to 2002-2003; 2008: data refer to 2008-2009; 2014: data refer to 2013-2014. Data refer to population aged 20-74. For all years activities are coded according to the last Harmonized European Time Use Survey Guidelines (HETUS 2008). Country: Kazakhstan Additional information (2003): The structure of time use within 7 days (man / hours per week). Data refer to the age group 16 years and older. Country: Kazakhstan Additional information (2006): The structure of time use within 7 days (man / hours per week). Data refer to the age group 18 years and older. Country: Kazakhstan Additional information (2012): The structure of time use within 7 days (man / hours per week). Data refer to the age group 10 years and older. Country: Luxembourg Data refer to the population aged 10-74. `TV and video` category includes listening radio and music. `Hobbies and games` include culture, entertainments and excursions. `Other activities` refer to `to do nothing`. Country: Netherlands Break in methodlogy (2006): Data is collected according to the Harmonised European Time Use Survey (HETUS) replacing the original Dutch Time Use Survey. Country: Norway 2010: data refer to 2010-2011. Country: Poland 2004: data refer to 2003-2004. 2013: ''Hobbies and games'' includes also computing and Internet (not measured in 2003/2004 survey). Country: Romania Reference period (2000): Data refer to August and September 2000. Country: Romania Reference period (2011 - 2012): Statistical survey on time use (TUS), carried out in households during september 2011 - september 2012 Country: Serbia Data do not cover Kosovo and Metohija. 2010 data refer to 2010-2011. Country: Spain 2003: data refer to 2002-2003. Country: Sweden Change in definition (2000 - 2010): Data refer to the population aged 20-64. Country: Sweden Reference period (2010): Data refer to April 2010-March 2011 Country: Switzerland 1995: data refer to 1997. Country: The former Yugoslav Republic of Macedonia Reference period (2014): Time Use Survey was carried out over a period of 12 months, from May 2014 until April 2015. Country: Turkey For 2006 the data refer to persons aged 15+. For 2015 the data refer to persons aged 10+.
    • 四月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 23 四月, 2019
      选择数据集
      Definition:Time use represents the average time spent (hours and minutes) on an activity per day. All days of the week, as well as working and holiday periods are included. Data refer to employed, unemployed and economically inactive people aged 20-74. Gainful work: includes time spent on main and second jobs (including informal employment) and related activities, breaks and travel during working hours, and on job seeking. Study: includes time spent on study at school and during free time. Domestic work includes housework, child and adult care, gardening and pet care, construction and repairs, shopping and services, and household management. Travel includes commuting and trips connected with all kinds of activities, except travel during working hours. Sleep includes sleep during night or daytime, waiting for sleep, naps, as well as passive lying in bed because of sickness. Meals includes meals, snacks and drinks. Personal care includes dressing, personal hygiene, making up, shaving, sexual activities and personal health care. Free time includes all other kinds of activities, e.g, volunteer work and meetings, helping other households, socializing and entertainment, sports and outdoor activities, hobbies and games, reading, watching TV, resting or doing nothing. General note: Data are reported in number of hours, where decimals represent hundredths of an hour (e.g, 1.75 should be read 1 hour and 45 minutes; 0.20 should be read 12 minutes). .. - data not available Country: Armenia Data refer to October 2008 and to the population aged 15-80. Country: Austria Change in definition (2008): Gainful work includes travelling during work-time. Country: Bulgaria Reference period (2002): Data refer to 2001-2002. Country: Bulgaria Reference period (2010): Data refer to 2009-2010. Country: Canada Change in definition (1990 - 2010): Data refer to population aged 20 to 74. Country: Canada Reference period (1990): Data refer to 1992. Country: Canada Reference period (1995): Data refer to 1997. Country: Canada Territorial change (1990 - 2010): Data cover 10 provinces only. Country: Denmark Data refer to the population aged 16-74. 1990: data refer to 1987. 2009: data refer to 2008-2009. Country: Estonia Reference period (2000): Data refer to 1999-2000. Country: Estonia Reference period (2010): Data refer to 2009-2010. Country: France 2000: data refer to 1998-1999. 2010: data refer to 2009-2010. Data cover only Metropolitan France. Country: Germany Change in definition (2001): Data refer to the population aged 20-74. Country: Germany Reference period (2001): Data refer to April 2001 - March 2002. Country: Hungary 2000: data refer to 1999-2000. 2010: data refer to 2009-2010. Country: Italy 2002: data refer to 2002-2003; 2008: data refer to 2008-2009; 2014: data refer to 2013-2014. Data refer to population aged 20-74. For all years activities are coded according to the last Harmonized European Time Use Survey Guidelines (HETUS 2008). Country: Kazakhstan Additional information (2003): The structure of time use within 7 days (man / hours per week). Data refer to the age group 16 years and older. Country: Kazakhstan Additional information (2006): The structure of time use within 7 days (man / hours per week). Data refer to the age group 18 years and older. Country: Kazakhstan Additional information (2012): The structure of time use within 7 days (man / hours per week). Data refer to the age group 10 years and older. Country: Luxembourg Data refer to the population aged 10-74. Country: Moldova, Republic of Reference period (2012): Time Use Survey. Conducted during the period 1 June 2011 to 31 May 2012. Country: Moldova, Republic of Territorial change (2012): Data exclude the territory of the Transnistria and municipality of Bender Country: Netherlands Break in methodlogy (2006): Data is collected according to the Harmonised European Time Use Survey (HETUS) replacing the original Dutch Time Use Survey. Country: Netherlands Break in methodlogy (2011): Data is collected according to the Harmonised European Time Use Survey (HETUS) Country: Norway 2010: data refer to 2010-2011. Country: Poland 2004: data refer to 2003-2004. Country: Romania Reference period (2000): Data refer to August and September 2000. Country: Romania Reference period (2011 - 2012): Statistical survey on time use (TUS), carried out in households during september 2011 - september 2012 Country: Serbia Data do not cover Kosovo and Metohija. 2010 data refer to 2010-2011. Country: Slovenia Reference period (2001): Data refer to the March 2000 - February 2001. Country: Spain 2003: data refer to 2002-2003. Country: Sweden Change in definition (1990 - 2010): Data refer to the population aged 20-64. Country: Sweden Reference period (1990): Data refer to 1990-1991. Data cover 9 months (September to May). Country: Sweden Reference period (2000): Data refer to 2000-2001 Country: Sweden Reference period (2010): Data referes to April 2010-March 2011 Country: Switzerland Change in definition (1995 - 2013): Gainful work doesn& 39;t include job seeking. Country: Switzerland Reference period (1995): Data refer to 1997. Country: The former Yugoslav Republic of Macedonia Reference period (2014): Time Use Survey was carried out over a period of 12 months, from May 2014 until April 2015. Country: Turkey For 2006 the data refer to persons aged 15+. For 2015 the data refer to persons aged 20-74.
    • 六月 2019
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 11 六月, 2019
      选择数据集
      .. - data not available Source: UNECE Statistical Database, compiled from national and international (Eurostat, UN Statistics Division Demographic Yearbook, WHO European health for all database and UNICEF TransMONEE) official sources. Definition:A live birth is the complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of pregnancy, which after such separation breathes or shows any other evidence of life such as beating of the heart, pulsation of the umbilical cord or definite movement of voluntary muscles, whether or not the umbilical cord has been cut or the placenta is attached. General note: Data come from registers, unless otherwise specified. In years 2003 and before, the number of live births for girl child and boy child may not add up to the number for both sexes (Total) due to the rounding up of numbers. Country: Armenia 1980-2006 : Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Azerbaijan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Data are tabulated by date of registration (rather than occurrence). Country: Belarus Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Canada 1980,1995: Including Canadian residents temporarily in the United States, but excluding United States residents temporarily in Canada. Country: Cyprus Data cover only government controlled area. Country: Georgia Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. From 1995 : data do not cover Abkhazia and South Ossetia (Tshinvali). Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Israel Data include East Jerusalem and Israeli residents in certain other territories under occupation by Israeli military forces since June 1967. Country: Kazakhstan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Malta From 2001: data include foreign residents. Country: Russian Federation Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth. Country: Serbia Data do not cover Kosovo and Metohija. Data are tabulated by date of registration (rather than occurrence). Country: Turkey 1980-2000: data source is population censuses. From 2001: data are from administrative source. Country: Turkmenistan Data do not cover infants born alive with less than 28 weeks gestation, less than 1000 grams in weight and 35 centimeters in length, who die within seven days of birth.
  • U
    • 五月 2017
      来源: Texas Comptroller's office
      上传者: Knoema
      访问日期: 07 十二月, 2017
      选择数据集
      The data or facts (facts are more than mere bragging) help to understand situation,How’s the economy? What about taxes? Debt? Personal wages? in Texas as compare to other Economy which help policymakers and taxpayers to make better policies and investment for future of Texas. The Comptroller of Public Accounts, Texas forecasts revenue for the state, making it vitally important that keep a finger on the pulse of the economy. Third-party sources compiled the source data for these rankings; our office has not independently verified the data. The Comptroller does not control or guarantee the accuracy, completeness or timeliness of any source data — provided as of the date indicated — or related website. When you access any third-party website, you will be leaving the Comptroller’s website.
    • 一月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 08 一月, 2019
      选择数据集
    • 十月 2013
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 22 十月, 2013
      选择数据集
      U.S. Regional Population, Census Data
    • 六月 2019
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 28 六月, 2019
      选择数据集
      Annual Estimates of the Resident Population by Sex, Race, and Hispanic Origin for the United States, States, and Counties: April 1, 2010 to July 1, 2018
    • 十月 2014
      来源: United Nations Economic Commission for Europe
      上传者: Knoema
      访问日期: 16 六月, 2016
      选择数据集
    • 二月 2019
      来源: UNESCO Institute for Statistics
      上传者: Knoema
      访问日期: 05 九月, 2019
      选择数据集
    • 九月 2014
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 18 九月, 2014
      选择数据集
      This is a complete annual time series for life expectancy from 1987 to 2009 by US state and US county. The datasets provide life expectancy estimates by sex and race (total, white, black). These numbers update the 1987-2007 life expectancy results published by IHME in 2011. The updated results still show large disparities nationwide whether urban or rural, with men's lifespans improving faster than women, and life expectancy for black Americans (both male and female) improving faster than for white Americans.
    • 十月 2013
      来源: U.S. Census Bureau
      上传者: Knoema
      访问日期: 22 十月, 2013
      选择数据集
      US Regional Hispanic or Latino Population, 2013
  • W
    • 十一月 2018
      来源: United Nations Conference on Trade and Development
      上传者: Knoema
      访问日期: 13 二月, 2019
      选择数据集
      This table provides estimates from 1950 to 2016 and projections from 2017 to 2050 (Medium Variant), of total population and urban population, expressed in thousands and as a percentage of total population, respectively.
    • 五月 2018
      来源: United Nations Department of Economic and Social Affairs
      上传者: Knoema
      访问日期: 26 六月, 2018
      选择数据集
      The 2018 Revision of World Urbanization Prospects presents the latest United Nations estimates of the size of urban and rural populations for 233 countries or areas from 1950 to 2018, with projections until 2050. It also includes data on population size for close to 1900 urban settlements having 300000 inhabitants or more in 2018. These 1900 cities or urban areas are now home to nearly 60 per cent of the world’s urban population.
    • 十一月 2019
      来源: World Bank
      上传者: Knoema
      访问日期: 06 十一月, 2019
      选择数据集
      世界银行从官方认可的国际来源编制的发展指标的主要收集。它提供了目前最准确的全球发展数据, 包括国家、区域和全球估计数

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