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Mônaco

  • População, pessoas:38.682 (2018)
  • Área, km2:2
  • PIB per capita, US$:166.726 (2017)
  • PIB, bilhões em US$ atuais:6,4 (2017)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:No data
Todos os conjuntos de dados:  A B C D E F G H I J K L M N O P Q R S T U V W Y К Н П С Ч
  • A
    • julho 2016
      Fonte: Knoema
      Carregamento por: Knoema
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      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • março 2019
      Fonte: Chief Executives Board for Coordination, UN
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Agency Revenue By Government Donor for assessed revenue type
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 abril, 2019
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      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • dezembro 2017
      Fonte: The General Aviation Manufacturers Association
      Carregamento por: Sandeep Reddy
      Acesso em 28 maio, 2018
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      General aviation operations are defined by the FAA based Source: FAA Operations Network (OPSNET) on the traffic operations counted in the OPSNET. Air Traffic Control data shows federal, non-federal, and military through 2005, while 2006 through 2011 are FAA and contract.
    • outubro 2019
      Fonte: National Institute of Statistics, Italy
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
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      Data source(s) used: Crimes reported to the Judicial authorities by the State Police, Carabinieri and Guardia di Finanza: Are processed the data on felonies and people who were reported by police to the court Other data characteristics: Data referring to social demographic characteristics of alleged offenders could not coincide with data on reports because of the different timing of extraction from police forces database.The sum of the crimes by province could not coincide with the total of the region, and that of the regions with the total Italy, because of the missed precise statement, for some crimes, of the place where they have been committed (or of the region of the committed crime but not of the province).
    • setembro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 04 setembro, 2019
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      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • janeiro 2014
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2015
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      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • agosto 2015
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 25 março, 2019
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      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
  • B
    • abril 2014
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      Acesso em 08 fevereiro, 2016
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      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • abril 2018
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 14 novembro, 2018
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • março 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
  • C
    • outubro 2017
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 06 agosto, 2018
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      Data Citation: CAIT Climate Data Explorer. 2017. Washington, DC: World Resources Institute. Available online at: http://cait.wri.org   CAIT data carries a Creative Commons Attribution-NonCommercial 4.0 International license   CAIT Historic allows for easy access, analysis and visualization of the latest available international greenhouse gas emissions data. It includes information for 186 countries, 50 U.S. states, 6 gases, multiple economic sectors, and 160 years - carbon dioxide emissions for 1850-2012 and multi-sector greenhouse gas emission for 1990-2012.
    • abril 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 30 abril, 2019
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      To view the original national data please open the questionnaires. Source: Joint Forest Europe / UNECE / FAO Questionnaire on Pan-European Indicators for Sustainable Forest Management. Country: Russian Federation The source of the data of Russian Federation is the National Report for the Joint Forest Europe / UNECE / FAO reporting on quantitative pan-European indicators 2011.
    • fevereiro 2019
      Fonte: United Nations Children's Fund
      Carregamento por: Knoema
      Acesso em 08 abril, 2019
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      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
    • junho 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 030 -- Citizenship by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_030.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Citizenship If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country. Citizenship Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 07 agosto, 2019
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    • março 2016
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 22 março, 2016
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    • dezembro 2018
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 22 fevereiro, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • fevereiro 2019
      Fonte: Numbeo
      Carregamento por: Knoema
      Acesso em 05 março, 2019
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      Data cited at NUMBEO Numbeo is the world’s largest database of user contributed data about cities and countries worldwide. Numbeo provides current and timely information on world living conditions including cost of living, housing indicators, health care, traffic, crime and pollution. For more information please check http://www.numbeo.com/cost-of-living/rankings_by_country.jsp   About dataset: These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • março 2019
      Fonte: Chief Executives Board for Coordination, UN
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Chinese Taipei is WTO terminology for the territory referred to by the United Nations as Taiwan Province of China. Please also refer to the official announcement by WTO at www.wto.org/english/news_e/pres01_e/pr253_e.htm As of 2017, the data includes an additional six entities (CTBTO, ICC, UNCDF, UNFCCC, UNRISD, UNSSC)
    • março 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Country of birth according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Country of birth The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Non-autonomous states are summed under their mother country. Country of birth Sudan Sudan + Former Sudan
    • junho 2019
      Fonte: Numbeo
      Carregamento por: Knoema
      Acesso em 22 julho, 2019
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      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • novembro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2017
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      Not applicable
    • março 2018
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 12 março, 2018
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • março 2018
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 12 março, 2018
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • agosto 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 agosto, 2019
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      Data on marriages and divorces at national level are transmitted by the National Statistics Institutes on voluntary basis in the context of the annual demographic data collections in the field of demography carried out by Eurostat as follows:
    • março 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 30 março, 2017
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • março 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 30 março, 2017
      Selecionar Conjunto de dados
      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • julho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from organic soils under cropland (item: Cropland organic soils) and grassland (item: Grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
  • D
    • abril 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 06 abril, 2019
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      Eurostat statistics on mortality are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1 January of the current year (T) are collected from the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the National Statistical Institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on mortality field: - Total number of deaths in year (T-1) - Infant mortality by age and sex (T-1) - Late foetal deaths by mother's age (T-1) - Deaths by age, year of birth and sex (T-1) - Deaths by age, sex and educational attainment (ISCED 1997) - Deaths by month, year (T) and (T-1) Based on these information, Eurostat currently computes and disseminates the following mortality indicators: - Crude death rate - Infant mortality rate - Neonatal mortality rate - Early neonatal mortality rate - Late foetal mortality rate - Perinatal mortality rate - Life table - Life expectancy by age and sex - Life expectancy by age, sex and educational attainment (ISCED 1997)  The most recent (aggregated) data on the number of deaths can be found under the Main demographic indicators. This includes also the most recent Eurostat now casts on the main demographic indicators (population, births, deaths and net migration including statistical adjustment). In principle, the table containing the main demographic indicators is updated three times per year, after each of the national data collections. Detailed information on mortality (by age, sex, etc.) can be found under the section Mortality (demo_mor). These disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. The geographical aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented at national level and for aggregates of countries. For EU and Euro Area, only the current and the previous geographical status are published. The currently disseminated geographical aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 novembro, 2019
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      number - per 1 000 personsDeath means the permanent disappearance of all evidence of life at any time after life birth has taken place (postnatal cessation of vital functions without capability of resuscitation).The crude death rate is the ratio of the number of deaths during the year to the average population in that year. The value is expressed per 1 000 persons.
    • agosto 2019
      Fonte: The Central Bank of the Russian Federation
      Carregamento por: Knoema
      Acesso em 16 setembro, 2019
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    • julho 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Sandeep Reddy
      Acesso em 10 agosto, 2018
      Selecionar Conjunto de dados
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • agosto 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 22 agosto, 2019
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      Note: All data contained within is provisional. The annual number of cases of measles and rubella officially reported by a member state is only available by July of each following year (through the joint WHO UNICEF annual data collection exercise). “provisional data based on monthly data reported to WHO (Geneva) as of April 2019”. Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization. Some countries report cases at irregular intervals, providing multiple months of data in a one month period. Future months are reported as 0 and will be updated as data is available. When data is used in public settings, please acknowledge the data source is the World Health Organization.
    • agosto 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 agosto, 2019
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • agosto 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 17 agosto, 2019
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • dezembro 2008
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Peter Speyer
      Selecionar Conjunto de dados
      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
  • E
    • dezembro 2012
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 21 maio, 2013
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    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • setembro 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • dezembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
      Selecionar Conjunto de dados
      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to males.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to females.
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 março, 2019
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      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • janeiro 2018
      Fonte: Yale Center for Environmental Law & Policy
      Carregamento por: Knoema
      Acesso em 02 fevereiro, 2018
      Selecionar Conjunto de dados
      Data cited at: Wendling, Z. A., Emerson, J. W., Esty, D. C., Levy, M. A., de Sherbinin, A., et al. (2018). 2018 Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/   The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • outubro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 07 outubro, 2019
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      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only. Population_Estimates:_Concepts,_Sources_and_Methods_2009
    • fevereiro 2019
      Fonte: Australian Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 18 fevereiro, 2019
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      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.
    • setembro 2015
      Fonte: Knoema
      Carregamento por: Knoema
      Acesso em 10 setembro, 2015
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    • novembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
    • maio 2019
      Fonte: Statistics Norway
      Carregamento por: Knoema
      Acesso em 17 maio, 2019
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      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • outubro 2019
      Fonte: Statistics Norway
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
      Selecionar Conjunto de dados
      If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statistics Monthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later. country EU Croatia is included in the trade with the EU from 2014 on. Palestine (2013-) Previously: West Bank/Gaza Stripe (2001-2012)
    • julho 2019
      Fonte: State Statistical Office, Republic of North Macedonia
      Carregamento por: Knoema
      Acesso em 10 julho, 2019
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      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • novembro 2019
      Fonte: State Statistical Office, Republic of North Macedonia
      Carregamento por: Knoema
      Acesso em 08 novembro, 2019
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      Methodological explanationsSymbols used Source: State Statistical Office Year 2018 preliminary data
    • outubro 2019
      Fonte: Maximiliano Herrera's Human Rights Site
      Carregamento por: Knoema
      Acesso em 25 outubro, 2019
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      Data cited at: Maximiliano Herrera's Human Rights Site    Fahrenheit values calculated using formula. Fahrenheit  T(°F) = T(°C) × 9/5 + 32 for Country data calculated average for each country locations.
  • F
    • outubro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
      Selecionar Conjunto de dados
      Source: UNECE Transport Division Database. Definitions Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Driver: Any person who drives a motor vehicle or other vehicle (including a cycle), or who guides cattle, singly or in herds, or flocks, or draught, pack or saddle animals on a road. Passenger: Any person, other than the driver, who is in or on a vehicle. Pedestrian: Any person other than a driver or a passenger according to the above definitions. Persons pushing or pulling a child?s carriage, a bath chair or invalid chair, or any other small vehicle without an engine, or pushing a cycle or moped, and handicapped persons travelling in invalid chairs propelled by such persons or moving at walking pace shall be treated as pedestrians. Road vehicle: A vehicle running on wheels and intended for use on roads. Motor vehicle: Any power-driven vehicle which is normally used for carrying persons or goods by road or for drawing, on the road, vehicles used for the carriage of persons or goods. This term embraces trolleybuses, that is to say, vehicles connected to an electric conductor and not rail-borne. It does not cover vehicles, such as agricultural tractors, which are only incidentally used for carrying persons or goods by road or for drawing, on the road, vehicles used for the carriage of persons or goods. Power driven vehicle: Any self propelled road vehicle, other than a moped and a rail-borne vehicle. Cycle: Any road vehicle which has at least two wheels and is propelled solely by the muscular energy of the person(s) on that vehicle, in particular by means of a pedal system, lever or handle (e.g. bicycles, tricycles, quadricycles and invalid carriages). Moped: Any two-wheeled or three-wheeled road vehicle which is fitted with an internal combustion engine having a cylinder capacity not exceeding 50 cc. (3.05 cu. in.) and a maximum design speed not exceeding 50 km (30 miles) per hour. Motor cycle: Two-wheeled road motor vehicle with or without side-car, including motor scooter, or three-wheeled road motor vehicle not exceeding 400 kg (900 lb.) unleaded weight. This term does not include mopeds. Passenger car: Road motor vehicle, other than a motor cycle, intended for the transport of passengers and seating not more than nine persons (including the driver). The term passenger car therefore covers taxis and hired vehicles, provided that they have fewer than ten seats. Motor coach or bus: Passenger road motor vehicle, seating more than nine persons (including the driver). Trolleybus: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is not rail-borne. Tramcar: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is rail borne. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Albania Included with motorcycles, if not available. Country: Ireland Included with motorcycles, if not available. Country: Poland Included with motorcycles, if not available. Country: Georgia '' Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of From 2008, breakdown by category of user does not sum to total as unknown category of user is not reported. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by age group cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. 6 to 9 years refers to less than 10 years old. Country: United Kingdom Data refer to Great Britain. Country: United States Sum by category of user is not equal to total as unknown category of user is not shown. Country: Uzbekistan Less than 6 years refers to less than 7 years. 10 to 14 years refers to 8 to 15 years.
    • outubro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
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      For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Age Group: For European Union members, less than 6 years refers to less than 5 years (data provided through CARE database). Age Group: 18 - 20 years For European Union members, 18 to 20 years refers to 18 to 19 years (data provided through CARE database). Age Group: 21 - 24 years For European Union members, 21 to 24 years refers to 20 to 24 years (data provided through CARE database). Age Group: 6 - 9 years For European Union members, 6 to 9 years refers to 5 to 9 years (data provided through CARE database). Country: Georgia '' Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by age group cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. 6 to 9 years refers to less than 10 years old. Country: United Kingdom Data refer to Great Britain. Country: Uzbekistan Less than 6 years refers to less than 7 years. 10 to 14 years refers to 8 to 15 years. Sex: Total Sum of males and females may not be equal to total in some countries where victim gender is unknown.
    • setembro 2019
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 20 setembro, 2019
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.
    • março 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 008 -- Nationality according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_008.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish)Nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.Nationality Czech Republic Czech Republic + Former CzechoslovakiaSudan Sudan + Former Sudan
    • março 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 009 -- Finnish citizens with dual nationality by age and second nationality in 2000 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_009.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Second nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. Second nationality Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 11 junho, 2019
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      Source: UNECE Statistical Database, compiled from national and international (Eurostat) official sources. Definition: Data on first marriages are numbers of men and women who were married for the first time during the year, by age at last birthday. General note: Data come from registers, unless otherwise specified. .. - data not available Country: Albania Reference period (2007-2015): The data are for the total number of marriages not for the first Country: Albania Reference period (2007-2015): The data for the 15-19 age group refer to under 19 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: Cyprus Data cover only government controlled area. Country: Georgia Territorial change (1995 onward): Data do not cover Abkhazia AR and Tskhinvali Region Country: Germany From 3 October 1990: data refer to the Federal Republic within its frontiers. Country: Kazakhstan Change in definition (1995 - 2008): Age group 0-14 refers to age less than 18; age group 15-19 refers to 18-19. Country: Malta From 2001: data include foreign residents. Country: Moldova, Republic of Age group 15-19 includes married at the age under 16 and 16-19. Country: Moldova, Republic of Territorial change (2000 onward): Data exclude the territory of the Transnistria and municipality of Bender Country: Russian Federation Additional information (2011 - 2012): Age group 15-19 includes married at age less than 15 Country: Serbia From 1998: data do not cover Kosovo and Metohija. Country: Tajikistan Data refer to registered marriages. Country: Turkey Change in definition (2002 - 2012): Age group 15 - 19 refers to 16-19. Measurement: Percent of corresponding total for all ages , Country: Ukraine Change in definition (1980 - 1995): Age group 0-14 refers to age less than 18; age group 15-19 refers to 18-19. Measurement: Percent of corresponding total for all ages , Country: Ukraine Change in definition (2000 - 2006): Age group 0-14 refers to age less than 16; age group 15-19 refers to 16-19.
    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 23 março, 2019
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      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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      The dataset Fisheries International collaboration in technology development (bilateral) provides the number of co-inventions (simple patent families) developed jointly by at least two inventors. This indicator is disaggregated by: Country - country of residence of the inventor(s), integral counted; in cases when inventors from more than two countries collaborate, this is translated into distinct bilateral relationships between country pairs. For example, if inventors from 3 countries collaborate (e.g. USA, DEU, JPN) then a unit count is assigned to 6 country pairs (USA-DEU, USA-JPN, DEU-JPN, DEU-USA, JPN-USA, JPN-DEU); in this case a country generally coordinate the project and the others are partners. Partner – country of residence of the inventor(s) who collaborate to the patent. Technology domain – the three main areas of innovation in fisheries and aquaculture, related to technology development. In detail: 1. Harvesting technology such as more effective ways to find or harvest fish and which are typically associated with improvements in catch per unit of effort (e.g. type/size of vessels and their methods of propulsion, search technologies, method of catching or harvesting fish and bringing them on board); 2.Aquaculture technology such as methods to more effectively grow fish in captivity (innovation in feeds, improving the health of aquaculture animals, etc.); 3. New products and markets such as the development of new fish products and markets (food technologies/processing such as the development of surimi as a crabmeat substitute) and the improvement of market access (secure or enlarge markets for fish products) that provides important incentives for green growth (e.g. eco-certification with fishers adopting by-catch saving technologies or modifying fishing practices and/or territorial user rights in fisheries).
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 13 março, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 março, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • setembro 2017
      Fonte: United Nations World Food Programme
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • setembro 2017
      Fonte: United Nations World Food Programme
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • setembro 2017
      Fonte: United Nations World Food Programme
      Carregamento por: Knoema
      Acesso em 21 dezembro, 2017
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      IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • setembro 2014
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2014
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      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • agosto 2019
      Fonte: Department for Promotion of Industry and Internal Trade, India
      Carregamento por: Knoema
      Acesso em 30 setembro, 2019
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      Foreign Direct Investment, Sector Wise in India
    • abril 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 31 outubro, 2019
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      Direct investment arises when an investor resident in one economy makes an investment that gives control or a significant degree of influence on the management of an enterprise that is resident in another economy. Portfolio investment is defined as cross border transactions and positions involving debt or equity securities, other than those included in direct investment or reserve assets.
    • abril 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 31 outubro, 2019
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      Direct investment arises when an investor resident in one economy makes an investment that gives control or a significant degree of influence on the management of an enterprise that is resident in another economy. FDI net inflows are the value of inward direct investment made by non-resident investors in the reporting economy
    • agosto 2018
      Fonte: General Authority for Statistics, Kingdom of Saudi Arabia
      Carregamento por: Shakthi Krishnan
      Acesso em 10 setembro, 2018
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    • junho 2019
      Fonte: Ministry of Finance, R.O.C. (Taiwan)
      Carregamento por: Sandeep Reddy
      Acesso em 27 junho, 2019
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      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.   2019 values are year to date
    • novembro 2019
      Fonte: U.S. Census Bureau
      Carregamento por: Sandeep Reddy
      Acesso em 08 novembro, 2019
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    • outubro 2019
      Fonte: Bahrain Open Data Portal
      Carregamento por: Knoema
      Acesso em 29 outubro, 2019
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      The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyses or application
    • dezembro 2018
      Fonte: National Institute of Statistics of Djibouti
      Carregamento por: Knoema
      Acesso em 13 setembro, 2019
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      Foreign Trade of Djibouti
    • setembro 2019
      Fonte: Kuwait Central Statistical Bureau
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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    • dezembro 2018
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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    • agosto 2019
      Fonte: Ministry of Development Planning and Statistics, Qatar
      Carregamento por: Knoema
      Acesso em 04 setembro, 2019
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      Qatar: Foreign Merchandise Trade The foreign trade data reflects a clear image of the stages of economical growth in the State of Qatar, as it shows the commodities flow in the shape of national exports, re-exports, and imports to / from different countries of the world. The foreign trade tables contains detailed data for visible imports by country of origin and Exports and Re-Exports by country of destination. The commodity tables are classified by sections and items of the Harmonized System (H.S.) issued by World Customs Organization, which was adapted according to GCC’s needs to meet the actual movement of foreign trade in the region, in addition to other statistical tables. The customs declaration entry issued by Customs Department is the main source of statistical information according to the Special Trade System adopted by the State of Qatar.
    • novembro 2018
      Fonte: Federal Competitiveness and Statistics Authority, United Arab Emirates
      Carregamento por: Knoema
      Acesso em 13 novembro, 2018
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      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • abril 2019
      Fonte: Uganda Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
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    • abril 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 30 abril, 2019
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      To view the original national data please open the questionnaires. Source: Joint Forest Europe / UNECE / FAO Questionnaire on Pan-European Indicators for Sustainable Forest Management. Country: Russian Federation The source of the data of Russian Federation is the National Report for the Joint Forest Europe / UNECE / FAO reporting on quantitative pan-European indicators 2011.
    • abril 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 30 abril, 2019
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    • dezembro 2018
      Fonte: Freedom House
      Carregamento por: Knoema
      Acesso em 07 março, 2019
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      Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for many countries. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • abril 2017
      Fonte: Freedom House
      Carregamento por: Sandeep Reddy
      Acesso em 09 outubro, 2018
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      Variables converted from character to numeric as follow:Variables under consideration are top 3 vars i.e. Status, print and Broadcast 1 = Free (F) 2 = Partly Free (PF) 3 = Not Free (NF) Under source it values are present like: "F" , "PF" and "NF"  Note:- Date range has been considered as follow: Jan.1981-Aug.1982 is considered as 1982 Aug.1982-Nov.1983 is considered as 1983 Nov.1983-Nov.1984 is considered as 1984 Nov.1984-Nov.1985 is considered as 1985 Nov.1985-Nov.1986 is considered as 1986 Nov.1986-Nov.1987 is considered as 1987   About Freedom of the press: Freedom of the Press, an annual report on media independence around the world which assesses the degree of print, broadcast, and digital media freedom in 199 countries and territories. Published since 1980, it provides numerical scores and country narratives evaluating the legal environment for the media, political pressures that influence reporting, and economic factors that affect access to news and information. Freedom of the Press is the most comprehensive data set available on global media freedom and serves as a key resource for policymakers, international institutions, journalists, activists, and scholars worldwide.
  • G
    • novembro 2019
      Fonte: Global Database of Events, Language, and Tone
      Carregamento por: Knoema
      Acesso em 14 novembro, 2019
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      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • julho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
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      Gross Domestic Product
    • novembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
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      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/
    • outubro 2015
      Fonte: HelpAge International
      Carregamento por: Knoema
      Acesso em 16 outubro, 2015
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      The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
    • julho 2011
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 21 setembro, 2017
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • dezembro 2018
      Fonte: TRACE International
      Carregamento por: Knoema
      Acesso em 30 janeiro, 2019
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      'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted. Anti-corruption laws enacted by a country and information about enforcement of those laws. Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants. Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains. For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
    • março 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 11 abril, 2018
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      Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
    • março 2019
      Fonte: International Telecommunication Union
      Carregamento por: Shakthi Krishnan
      Acesso em 18 julho, 2019
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        The Global Cybersecurity Index (GCI) is a survey that measures the commitment of Member States to cybersecurity in order to raise awareness. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. One-hundred and thirty-four Member States responded to the survey throughout 2016. Member States who did not respond were invited to validate responses determined from open-source research. As such, the GCI results reported herein cover all 193 ITU Member States. The 2017 publication of the GCI continues to show the commitment to cybersecurity of countries around the world. The overall picture shows improvement and strengthening of all five elements of the cybersecurity agenda in various countries in all regions. However, there is space for further improvement in cooperation at all levels, capacity building and organizational measures. As well, the gap in the level of cybersecurity engagement between different regions is still present and visible. The level of development of the different pillars varies from country to country in the regions, and while commitment in Europe remains very high in the legal and technical fields in particular, the challenging situation in the Africa and Americas regions shows the need for continued engagement and support. In addition to providing the GCI score, this report also provides a set of illustrative practices that give insight into the achievements of certain countries.
    • abril 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
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      Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • março 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 11 abril, 2018
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      Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
    • setembro 2015
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 05 outubro, 2015
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      DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
    • setembro 2018
      Fonte: Dual Citizen LLC
      Carregamento por: Knoema
      Acesso em 21 setembro, 2018
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      The performance index of the 2018 GGEI is defined by 20 underlying indicators, each contained within one of the four main dimensions of leadership & climate change, efficiency sectors, markets & investment and the environment.   For more detail on our approach to aggregating these diverse data sources to define the composite indicators in the GGEI and its four main dimensions, as well as our approach to data selection, weighting and other issues associated with creating an index, please visit the Methodology section.
    • março 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 18 março, 2019
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      Citation: Global Health Observatory (GHO) Data: https://www.who.int/gho/en/: World Health Organization; 2019. Licence: CC BY-NC-SA 3.0 IGO   The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.
    • novembro 2018
      Fonte: International Telecommunication Union
      Carregamento por: Knoema
      Acesso em 17 janeiro, 2019
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    • julho 2019
      Fonte: Global Innovation Index
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The GII is a source of insight into the multidimensional facets of innovation-driven growth. Providing 80 detailed metrics for 129 economies in 2019, the GII has become one of the leading references for measuring an economy’s innovation performance. Moving into its 12th edition this year, the GII has evolved into a valuable benchmarking tool that can facilitate public-private dialogue and where policy-makers, business leaders, and other stakeholders can evaluate innovation progress on an annual basis.   Each year the GII presents a thematic component that tracks global innovation. In this year’s edition, it analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. 
    • novembro 2019
      Fonte: GlobalPetrolPrices.com
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      Data cited at: Global Petrol Prices web site - https://www.globalpetrolprices.com/ License: https://creativecommons.org/licenses/by-nc/4.0/ Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013    
    • dezembro 2018
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 22 janeiro, 2019
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      Note: The dataset has been collected from "Global status report on road safety 2018".  For this report, 2018 data were used for the review of vehicle standards; 2017 data were used for the review of legislation, road standards and post-crash care; fatality estimates were based on data from 2016. The Global status report on road safety 2018, launched by WHO in December 2018, highlights that the number of annual road traffic deaths has reached 1.35 million. Road traffic injuries are now the leading killer of people aged 5-29 years. The burden is disproportionately borne by pedestrians, cyclists and motorcyclists, in particular those living in developing countries. The report suggests that the price paid for mobility is too high, especially because proven measures exist. These include strategies to address speed and drinking and driving, among other behaviors; safer infrastructure like dedicated lanes for cyclists and motorcyclists; improved vehicle standards such as those that mandate electronic stability control; and enhanced post-crash care. Drastic action is needed to put these measures in place to meet any future global target that might be set and save lives.
    • dezembro 2014
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 06 junho, 2018
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      The Global status report on violence prevention 2014, which reflects data from 133 countries, is the first report of its kind to assess national efforts to address interpersonal violence, namely child maltreatment, youth violence, intimate partner and sexual violence, and elder abuse. Jointly published by WHO, the United Nations Development Programme, and the United Nations Office on Drugs and Crime, the report reviews the current status of violence prevention efforts in countries, and calls for a scaling up of violence prevention programmes; stronger legislation and enforcement of laws relevant for violence prevention; and enhanced services for victims of violence.
    • maio 2019
      Fonte: KPMG
      Carregamento por: Knoema
      Acesso em 28 junho, 2019
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      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2019. Provided by KPMG.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 26 setembro, 2019
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      Country: Belarus ''Lorries'' includes road tractors. ''Trailers'' includes semi-trailers. ''Light goods road vehicles'' include lorries. Country: Bosnia and Herzegovina ''Lorries'' includes road tractors. ''Trailers'' include semi-trailers Country: Kazakhstan Light goods road vehicles refer to all lorries. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Estonia ''Trailers'' include semi-trailers. Country: Germany Lorries, load capacity 5,000 kg - 6,999 kg refers to 5,000 kg to 7,499 kg. Lorries, load capacity 7,000 kg - 9,999 kg refers to 7,500 kg to 9,999 kg. Country: Hungary Load capacity of ''lorries'' excludes lorries for special purpose. ''Trailers'' include semi-trailers. Country: Hungary ''Lorries'' includes special purpose motor vehicles. Country: Italy Lorries, load capacity 1,000-1,499 kg refers to 1,100-1,600 kg, 1,500-2,999 kg refers to 1,700-3,500 kg, 3,000-4,999 kg refers to 3,600-6,000 kg, 7,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg and over.Semi-trailers, load capacity up to 4,999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000-19,999 kg refers to 18,100-22,000 kg, 20,000 kg and over refers to 22,000 kg and over.Trailers, load capacity up to 4 999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg. Country: Latvia Data from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data. Country: Lithuania The state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014. Country: Netherlands Number of semi trailers 20,000 kg and over includes semi trailers with unknown load capacities. Number of trailers 15,000 kg and over includes trailers with unknown load capacities. Country: Russian Federation ''Lorries'' 1000 kg-1499 kg refer to N1 vehicles (maximum mass of not more than 3.5 tonnes), 5000 kg-6999 kg refer to N2 vehicles (maximum mass between 3.5 and 12 tonnes), and 15000 kg or more refer to N3 vehicles (maximum mass exceeding 12 tonnes). Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Trailers includes semi trailers. Country: Slovakia ''Semi-trailers'' includes trailers, 2000-2014. Light goods road vehicles includes all lorries. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks'' Vehicle Category: Light goods road vehicles (vehicle wt up to 3500 kg) Includes all lorries
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 26 setembro, 2019
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      Country: Belarus ''Lorries'' includes road tractors. ''Trailers'' includes semi-trailers. ''Light goods road vehicles'' include lorries. Country: Bosnia and Herzegovina ''Light goods road vehicles'' include ''Road tractors''. ''Trailers'' include ''Semi-trailers''. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Croatia For data prior to 2015, refers to all lorries Country: Cyprus Light goods road vehicles refers to load capacity up to 2,999 kg. Lorries with permissible maximum gross weight 3,501 kg - 7,500 kg refers to load capacity 3,000 kg - 6,999 kg. Lorries with permissible maximum gross weight 7,501 kg - 12,000 kg refers to load capacity 7,000 kg - 9,999 kg. Lorries with permissible maximum gross weight 12,001 kg - 40,000 kg refers to load capacity 10,000 kg - 19,999 kg. Lorries with permissible maximum gross weight 40,000 kg and over refers to load capacity 20,000 kg and over. Country: Czechia Lorries with load capacity 12 001 kg - 40 000 kg refers to greater than 12 000 kg. Country: Estonia ''Trailers'' include semi-trailers. Country: France ''Trailers'' includes only trailers with authorized total weight > = 6 tons. Country: Hungary ''Lorries'' includes special purpose motor vehicles. From 2013, trailers includes semi-trailers and caravans. Country: Latvia Data from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data. Country: Lithuania The state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014. Country: Poland Semi-trailers with permissible maximum gross weight 30 001 kg - 40 000 kg refers to permissible maximum gross weight > 30 000 kg. Trailers with permissible maximum gross weight 751 kg - 3 500 kg refers to permissible maximum gross weight up to 3 500 kg. Country: Romania Semi-trailers with permissible maximum gross weight up to 20 000 kg refers to permissible maximum gross weight up to 9 999 kg. Semi-trailers with permissible maximum gross weight 20 001 kg - 30 000 kg refers to permissible maximum gross weight 10 000 kg - 14 999 kg. Trailers with permissible maximum gross weight up to 750 kg refers to permissible maximum gross weight up to 4 999 kg. Trailers with permissible maximum gross weight 751 kg - 3 500 kg refers to permissible maximum gross weight 5 000 kg - 9 999 kg Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Trailers includes semi trailers. Country: Slovakia ''Semi-trailers'' includes trailers, 2000-2014. Light goods road vehicles includes all lorries. Country: The former Yugoslav Republic of Macedonia Semi-trailers refer to semi-trailers and trailers through 2010. From 2011 onward, trailers refer to semi-trailers and trailers. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks'' Vehicle Category: Light goods road vehicles (vehicle wt up to 3500 kg) For data prior to 2013, refers to all lorries.
    • fevereiro 2017
      Fonte: National Institute of Statistics and Censuses, Costa Rica
      Carregamento por: Knoema
      Acesso em 30 maio, 2017
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      National Accounts of Costa Rica
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      This dataset contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicator bring together the OECD's statistics, indicators and measures of progress. The dataset covers OECD countries as well as BRIICS economies (Brazil, Russian Federation, India, Indonesia, China and South Africa), and selected countries when possible. The indicators are selected according to well specified criteria and embedded in a conceptual framework, which is structured around four groups to capture the main features of green growth: Environmental and resource productivity, to indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks; The natural asset base, to indicate the risks to growth from a declining natural asset base; Environmental quality of life, to indicate how environmental conditions affect the quality of life and wellbeing of people; Economic opportunities and policy responses, to indicate the effectiveness ofpolicies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.
    • dezembro 2018
      Fonte: United Nations Framework Convention on Climate Change
      Carregamento por: Knoema
      Acesso em 13 março, 2019
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      In accordance with Articles 4 and 12 of the Climate Change Convention, and the relevant decisions of the Conference of the Parties, countries that are Parties to the Convention submit national greenhouse gas (GHG) inventories to the Climate Change secretariat. These submissions are made in accordance with the reporting requirements adopted under the Convention, such as The UNFCCC Reporting Guidelines on Annex I Inventories (document FCCC/SBSTA/2004/8) for Annex I Parties and Guidelines for the preparation of national communications for non-Annex I Parites (decision 17/CP.8). The inventory data are provided in the annual GHG inventory submissions by Annex I Parties and in the national communications under the Convention by non-Annex I Parties. The GHG data reported by Parties contain estimates for direct greenhouse gases, such as: CO2 - Carbon dioxide CH4 - Methane N2O - Nitrous oxide PFCs - Perfluorocarbons HFCs - Hydrofluorocarbons SF6 - Sulphur hexafluoride as well as for the indirect greenhouse gases such as SO2, NOx, CO and NMVOC.
    • junho 2019
      Fonte: United Nations Framework Convention on Climate Change
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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    • abril 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 30 abril, 2019
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      To view the original national data please open the questionnaires. Source: Joint Forest Europe / UNECE / FAO Questionnaire on Pan-European Indicators for Sustainable Forest Management. Country: Russian Federation The source of the data of Russian Federation is the National Report for the Joint Forest Europe / UNECE / FAO reporting on quantitative pan-European indicators 2011.
  • H
  • I
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • março 2016
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 novembro, 2017
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      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • março 2016
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 novembro, 2017
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      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • dezembro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2018
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      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • fevereiro 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 31 outubro, 2019
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    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 05 novembro, 2019
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      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • dezembro 2016
      Fonte: U.S. Patent and Trademark Office
      Carregamento por: Knoema
      Acesso em 27 julho, 2017
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      An independent inventor patent is a patent that has ownership that is unassigned or assigned to an individual at the time of grant i.e. ownership of the patent is not assigned to an organization. some U.S. origin patents are assigned to foreign individuals while some foreign origin patents are assigned to U.S. individuals. Therefore, the sum of counts of U.S. origin independent inventor patents usually will not equal the sum of counts of patents owned by "U.S. individuals" and the sum of counts of "foreign origin" independent inventor patents usually will not equal the sum of counts of patents owned by foreign individuals.
    • maio 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 28 maio, 2019
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      Inflow of migrants refer to the number of immigrants who changed their country of usual residence during the reference period. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by sex and country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 24 outubro, 2019
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    • janeiro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      The Fertilizer archive dataset contains information on the Production, Trade and Consumption of chemical and mineral fertilizers products, both in total nutrients and in amount of product, over the time series 1961 to 2002. The dataset also contains data on Prices paid by farmers expressed in local currencies (as a consequence no country aggregates are available) for single fertilizer products. This dataset is an archive and it is disseminated as it was in the previous FAOSTAT System. No dataset updates made or to be made in the future.
    • fevereiro 2019
      Fonte: United Nations Office on Drugs and Crime
      Carregamento por: Knoema
      Acesso em 28 fevereiro, 2019
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      Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • agosto 2019
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 27 setembro, 2019
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      The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants. The designations employed and the material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory or area or its authorities, or concerning the delimitation of its frontiers or boundaries. The term “country” as used in this publication also refers, as appropriate, to territories or areas. The names and composition of geographical areas follow those presented in “Standard country or area codes for statistical use” (ST/ESA/STAT/SER.M/49/Rev.3), available at http://unstats.un.org/unsd/methods/m49/m49.htm.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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      Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
    • julho 2019
      Fonte: State Statistical Office, Republic of North Macedonia
      Carregamento por: Knoema
      Acesso em 17 julho, 2019
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      _________ _______source State Statistical Office State Statistical Office
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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      This indicator reports the percentage of students of each country of origin over the total of international students.
    • fevereiro 2019
      Fonte: U.S. Federal Bureau of Investigation
      Carregamento por: Knoema
      Acesso em 10 maio, 2019
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      The mission of the Internet Crime Complaint Center (IC3) is to provide the public with a reliable and convenient reporting mechanism to submit information to the FBI concerning suspected Internet-facilitated criminal activity and to develop effective alliances with industry partners. Information is processed for investigative and intelligence purposes for law enforcement and public awareness.
    • junho 2019
      Fonte: Internet World Stats
      Carregamento por: Knoema
      Acesso em 20 setembro, 2019
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      Data cited at: Internet World Stats  Internet World Stats is an International website that features up to date world Internet Usage, Population Statistics, Travel Stats and Internet Market Research Data, for over 233 individual countries and world regions.
    • fevereiro 2018
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 02 agosto, 2018
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      Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
  • J
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
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      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • K
    • maio 2017
      Fonte: United Nations Office on Drugs and Crime
      Carregamento por: Knoema
      Acesso em 09 abril, 2018
      Selecionar Conjunto de dados
      “Kidnapping” means unlawful detainment and taking away of a person or persons against their will (including through the use of force, threat, fraud or enticement) for the purpose of demanding an illicit gain, any other economic gain or other material benefit for their liberation, or in order to oblige someone to do or not to do something. “Kidnapping” should include 'express kidnapping' for short periods of time but should exclude abduction of a minor in the context of disputes over child custody.
  • L
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population. Data by level of education are provided on the highest level of education completed.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of males.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of females.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 abril, 2019
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    • abril 2018
      Fonte: World Atlas
      Carregamento por: Knoema
      Acesso em 29 agosto, 2019
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      Linguistic Diversity Index Data cited at: https://www.worldatlas.com/articles/the-most-linguistically-diverse-countries-in-the-world.html
    • junho 2012
      Fonte: Wikipedia
      Carregamento por: Carpe Facto
      Selecionar Conjunto de dados
      Extremes in elevation across countries.
    • outubro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 30 outubro, 2019
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      The Fertility data at national level are based on the annual demographic data collection in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demographic data collection of each year (T), named Rapid, is carried out in April-May (deadline 15 May of year T); during this data collection the first results on the main demographic developments in the previous year and the population on 1 January of the current year are collected from the national statistical institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. The Nowcast demographic data collection is carried out in October-November (deadline 15 November of year T). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year T are collected, with the purpose of producing a forecast on 1 January population of the following year (T+1). More specifically, during year T the following data are collected and disseminated on fertility field: - Total live births in year (T-1) - Live births by month in year T - Live births by mother's age, year of birth and legal marital status in year T-1 - Live births by mother's age, year of birth and birth order in year T-1 - Live births by mother's age and educational attainment (ISCED 1997) in year T-1 - Declared legal abortions by age in year T-1 Based on this information, Eurostat computes and disseminates the following fertility indicators: Total fertility rate, Fertility rates by mother's age (Age specific fertility rates) and Mean age of women at childbirth. The most recent (aggregated) data on live births can be found under the 'Total population and demographic events - Annual balance (demo_gen)'. This includes also the most recent Eurostat now casts on the demographic indicators (published in December of each year). In principle, the demographic balance is updated three times per year, after each of the national data collections. Detailed information on fertility (by age, sex and marital status, birth order, educational attainment) can be found under the section Fertility (demo_fer). This disaggregated information are updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA).
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 novembro, 2019
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      number - per 1 000 personsLive births are the births of children that showed any sign of life.The crude birth rate is the ratio of the number of live births during the year to the average population in that year. The value is expressed per 1 000 persons.
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
      Selecionar Conjunto de dados
      Not applicable
  • M
    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
      Selecionar Conjunto de dados
      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
      Selecionar Conjunto de dados
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • maio 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 junho, 2019
      Selecionar Conjunto de dados
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 março, 2019
      Selecionar Conjunto de dados
      Data on marriages and divorces at national level are based on the annual demographic data collections in the field of demography carried out by Eurostat. The completeness of information depends on the availability of data reported by the National Statistical Institutes. The Joint demographic data collection is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. During this data collection Eurostat collects from the national statistical institutes detailed data by sex, age and other characteristics for the demographic events (births, deaths, marriages and divorces) of the previous year and the population on 1 January of the current and previous years. More specifically, during year T the following data are collected and disseminated on fertility field: - total number of marriages and divorces - persons getting married during the reference year by previous legal marital status, year T-1 Data can be found under the section Marriages and divorces (demo_nup). The information is updated towards the end of each year based on information collected during the Joint data collection. Moreover, any update sent by the countries in-between data collections are validated, processed and uploaded into Eurostat's demographic database and in Eurostat's free dissemination online database as soon as possible. Aggregates are recalculated accordingly. The data transmitted by the National Statistical Institutes are validated by Eurostat, processed and uploaded into Eurostat's Demographic Database and in Eurostat's free dissemination online database. The data are also disseminated in several thematic and horizontal Eurostat's publications. Data are presented by single country and for aggregates of countries. For EU and Euro Area, only the current and the previous version of the aggregates are published. The currently disseminated aggregates are: EU-27, EU-25, EA-16, and EA-15. Moreover, data is disseminated for the European Economic Area (EEA) and the European Free Trade Association (EFTA). International marriages and divorces Statistics on the number of international marriages and divorces (2000-2007) were collected by Eurostat from national statistical institutes in September 2008. The data were further used by the European Commission for preparing  a proposal for a Council Regulation on the law applicable in divorce and legal separation.  These data collected are available upon request.
    • dezembro 2018
      Fonte: International Telecommunication Union
      Carregamento por: Knoema
      Acesso em 14 dezembro, 2018
      Selecionar Conjunto de dados
      This Dataset contains Indicators related to IC Development Index and Tables from "Measuring the Information Society Report 2018, Volume 1" For Indicators for other ICT Development data please refer: https://knoema.com/ITUKIICT2019/global-ict-developments
    • setembro 2019
      Fonte: General Authority for Statistics, Kingdom of Saudi Arabia
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
      Selecionar Conjunto de dados
    • janeiro 2015
      Fonte: Right Diagnosis
      Carregamento por: Knoema
      Acesso em 04 fevereiro, 2016
      Selecionar Conjunto de dados
    • fevereiro 2019
      Fonte: National Institute of Statistics, Italy
      Carregamento por: Knoema
      Acesso em 01 março, 2019
      Selecionar Conjunto de dados
      Data source(s) used: Persons registered in and cancelled from the population register due to change of residence:The English description of the source is not available at this time, for methodological details go to the Siqual system
    • junho 2018
      Fonte: Statistics Netherlands
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2018
      Selecionar Conjunto de dados
      Immigration and emigration in the Netherlands and the administrative corrections by country of birth, sex, age and marital status. Data available from: 1995 Status of the figures: All data recorded in this publication are final data. Changes as from 18 June 2018: The final figures of 2017 have been added. Changes as from 26 April 2018: The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have been adjusted. The age classification has been simplified: the five-year groups have been removed. This makes the table better suited for the interface of the new StatLine. If you are missing these figures, please contact Infoservice (see section 5). When will new figures be published? The final figures of 2018 will be added in the second quarter of 2019 in this publication.
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
      Selecionar Conjunto de dados
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
    • fevereiro 2016
      Fonte: Pew Research Center
      Carregamento por: Knoema
      Acesso em 05 fevereiro, 2016
      Selecionar Conjunto de dados
      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • dezembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 04 março, 2019
      Selecionar Conjunto de dados
      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • setembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
      Selecionar Conjunto de dados
      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable. Note: Ethiopia [upto 1993] and Ethiopia [from 1993] merged to get Ethiopia, Similarly Sudan (upto 2011) is combined with Sudan.
    • fevereiro 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 08 fevereiro, 2019
      Selecionar Conjunto de dados
      National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
    • agosto 2019
      Fonte: Statistics Canada
      Carregamento por: Knoema
      Acesso em 01 novembro, 2019
      Selecionar Conjunto de dados
    • fevereiro 2019
      Fonte: The National Committee on North Korea
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
      Selecionar Conjunto de dados
    • abril 2018
      Fonte: Statistics Norway
      Carregamento por: Knoema
      Acesso em 03 abril, 2019
      Selecionar Conjunto de dados
      Major change in coverage in 2011. Consult About the statistics Only vessels at or above 1 000 gross tonnage. No fishing vessels.
    • outubro 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 31 outubro, 2019
      Selecionar Conjunto de dados
      It covers foreign passengers who have crossed the border of Mongolia.
    • outubro 2019
      Fonte: National Statistical Office of Mongolia
      Carregamento por: Knoema
      Acesso em 31 outubro, 2019
      Selecionar Conjunto de dados
      A tourist refers a person who travels to and stays in places outside his usual environment for not more than 183 days for purposes other than employment.
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 13 outubro, 2019
      Selecionar Conjunto de dados
      Labour inspectors are public officials or other authorities who are responsible for three key labour inspection activities: a) securing the enforcement of the legal provisions relating to conditions of work and the protection of workers while engaged in their work, such as provisions relating to hours, wages, safety, health and welfare, the employment of children and young persons, and other connected matters, in so far as such provisions are enforceable by labour inspectors; b) supplying technical information and advice to employers and workers concerning the most effective means of complying with the legal provisions; c) bringing to the notice of the competent authority defects or abuses not specifically covered by existing legal provisions. Labour inspectors have the authority to initiate processes that may lead to legal action.
    • novembro 2017
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2017
      Selecionar Conjunto de dados
      Live births are the births of children that showed any sign of life.
  • O
    • novembro 2018
      Fonte: Ocean Health Index
      Carregamento por: Shakthi Krishnan
      Acesso em 23 novembro, 2018
      Selecionar Conjunto de dados
      Ocean Health Index
    • junho 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 032 -- Origin and background country by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_032.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Background country Background country data are explained in the Concepts webpage, see link
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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  • P
    • outubro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Country: SerbiaTerritorial change (2000 onward): Data do not cover Kosovo and Metohija.Country: CanadaMotorcycles include mopeds. Passenger cars refers to all vehicles with at least four wheels weighing less than 4,500 kg.Country: Czechia''Motor coaches, buses, etc'' excludes trolleybuses. ''Mopeds'' includes mopeds and motorcycles with engines 50 cc or less.Country: FinlandExcluding mopeds registered in Aland. Trams in Helsinki/Helsingfors only.Country: Hungary''Motor coaches, buses, etc'' excludes trolleybuses. ''Trams'' include cogwheel trams.Country: LatviaData from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data.Country: LithuaniaThe state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014.Country: MaltaMopeds include quads and all-terrain vehicles (ATVs).Country: Switzerland''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = < 20 years refers to greater than 10 years. Until 2013, 2 > or = 5 years refers to less than 5 years.Country: The former Yugoslav Republic of Macedonia''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = < 20 years refers to greater than 10 years. Until 2013, 2 > or = 5 years refers to less than 5 years.Country: Russian Federation''Motor coaches, buses, etc'' excludes trolleybuses. ''Motorcycles'' includes 3-wheelers and quadricycles.Country: SlovakiaFor data years up to 2008, mopeds are included with motorcycles.Country: Sweden''Mopeds'' refer only to class 1 mopeds.Country: United KingdomData refer to Great Britain.Country: United StatesFrom 2007, passenger cars refers to 'Light duty vehicles, short wheel base'. Prior to 2007, passenger cars referred to 'Passenger Cars and Other 2-axle, 4-tire vehicles'. Motor coaches, buses, etc refer to those used on interstates only. 'Motorcycles' include mopeds
    • dezembro 2018
      Fonte: Passport Index
      Carregamento por: Knoema
      Acesso em 17 dezembro, 2018
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      Passport Index is an interactive tool, which collects, displays and ranks the passports of the world. You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover. Visa Free Score Passports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival. Passport Power Rank Passports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank. Methodology The country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
    • dezembro 2018
      Fonte: World Intellectual Property Organization
      Carregamento por: Knoema
      Acesso em 11 dezembro, 2018
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      Data cited at: "WIPO statistics database" which is made available under a BY 3.0 IGO License   Total Patent Applications Total Count by Applicant's Origin Zaire, officially the Republic of Zaire, was the name of Democratic Republic of the Congo between 1971 and 1997.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 06 agosto, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 06 agosto, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 06 agosto, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • agosto 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Sandeep Reddy
      Acesso em 21 agosto, 2019
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      The OECD Environment Directorate, in collaboration with the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in environment-related technologies. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' environmental and innovation policies. The patent statistics presented here are constructed using data extracted from the Worldwide Patent Statistical Database (PATSTAT) of the European Patent Office (EPO) using algorithms developed by the OECD. Consistent with other patent statistics provided in OECD.Stat, only published applications for "patents of invention" are considered (i.e. excluding utility models, petty patents, etc.). The relevant patent documents are identified using search strategies for environment-related technologies (ENV-TECH) which were developed specifically for this purpose. They allow identifying technologies relevant to environmental management, water-related adaptation and climate change mitigation. An aggregate category labelled "selected environment-related technologies" includes all of the environmental domains presented here.
    • maio 2012
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
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      Source: UNECE Transport Division Database. Definitions Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Driver: Any person who drives a motor vehicle or other vehicle (including a cycle), or who guides cattle, singly or in herds, or flocks, or draught, pack or saddle animals on a road. Passenger: Any person, other than the driver, who is in or on a vehicle. Pedestrian: Any person other than a driver or a passenger according to the above definitions. Persons pushing or pulling a child?s carriage, a bath chair or invalid chair, or any other small vehicle without an engine, or pushing a cycle or moped, and handicapped persons travelling in invalid chairs propelled by such persons or moving at walking pace shall be treated as pedestrians. Road vehicle: A vehicle running on wheels and intended for use on roads. Motor vehicle: Any power-driven vehicle which is normally used for carrying persons or goods by road or for drawing, on the road, vehicles used for the carriage of persons or goods. This term embraces trolleybuses, that is to say, vehicles connected to an electric conductor and not rail-borne. It does not cover vehicles, such as agricultural tractors, which are only incidentally used for carrying persons or goods by road or for drawing, on the road, vehicles used for the carriage of persons or goods. Power driven vehicle: Any self propelled road vehicle, other than a moped and a rail-borne vehicle. Cycle: Any road vehicle which has at least two wheels and is propelled solely by the muscular energy of the person(s) on that vehicle, in particular by means of a pedal system, lever or handle (e.g. bicycles, tricycles, quadricycles and invalid carriages). Moped: Any two-wheeled or three-wheeled road vehicle which is fitted with an internal combustion engine having a cylinder capacity not exceeding 50 cc. (3.05 cu. in.) and a maximum design speed not exceeding 50 km (30 miles) per hour. Motor cycle: Two-wheeled road motor vehicle with or without side-car, including motor scooter, or three-wheeled road motor vehicle not exceeding 400 kg (900 lb.) unleaded weight. This term does not include mopeds. Passenger car: Road motor vehicle, other than a motor cycle, intended for the transport of passengers and seating not more than nine persons (including the driver). The term passenger car therefore covers taxis and hired vehicles, provided that they have fewer than ten seats. Motor coach or bus: Passenger road motor vehicle, seating more than nine persons (including the driver). Trolleybus: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is not rail-borne. Tramcar: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is rail borne. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured.
    • setembro 2014
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      Description not available
    • março 2019
      Fonte: National Institute of Statistics, Italy
      Carregamento por: Knoema
      Acesso em 04 março, 2019
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      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.
    • setembro 2019
      Fonte: ICC International Maritime Bureau
      Carregamento por: Sandeep Reddy
      Acesso em 21 outubro, 2019
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      Piracy and Armed Robbery against Ships
    • dezembro 2018
      Fonte: Political Terror Scale
      Carregamento por: Knoema
      Acesso em 30 janeiro, 2019
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      citation: Gib­ney, Mark, Linda Cor­nett, Reed Wood, Peter Hasch­ke, and Daniel Arnon. 2016. The Polit­ic­al Ter­ror Scale 1976-2015. Date Re­trieved, from the Polit­ic­al Ter­ror Scale website: ht­tp://www.polit­ic­al­ter­rorscale.org.   Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare. 2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare. 3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted. 4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas. 5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
    • fevereiro 2019
      Fonte: Statistics Sweden
      Carregamento por: Knoema
      Acesso em 01 março, 2019
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    • março 2009
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 29 novembro, 2015
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    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 novembro, 2019
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      These summary metadata refer to the first results on the main demographic developments in the year of reference. The first results on the main demographic developments in the year of reference (T) contain the total population figure on 31 December of year T (further published by Eurostat as Population on 1 January of year T+1), and total births and total deaths during that year. While submitting this data is a legal requirement from EU Member States (EU Regulation No 1260/2013 on European Demographic Statistics, which entered into force on 1 January 2014), countries submit on voluntary basis data also on immigration and emigration that occurred during the course of the year (T). Eurostat's data collection on the above figures is called DEMOBAL and it is carried out in June of each year. Eurostat publishes these first demographic estimates in July of each year in the online database, in the table Population change - Demographic balance and crude rates (demo_gind). These first demographic estimates may either be confirmed or updated by the Eurostat demographic data collection taking place in December each year (called Unidemo), whereby countries submit detailed breakdowns (e.g. by age and sex) of their yearly population data, including data on migration, both at national and at regional level. The online table Population change - Demographic balance and crude rates (demo-gind) will be accordingly updated. This table includes the latest updates on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Eurostat database (Demography domain and Migration, for example the Population by citizenship and by country of birth table) may be transmitted to Eurostat at a subsequent date. Please note that the time series before 2013 available in the online table Population change - Demographic balance and crude rates (demo-gind) were collected by Eurostat from the national statistical offices in the past, on voluntary basis. The individual metadata files reported by the countries are also attached.
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 novembro, 2019
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      These summary metadata refer to the first results on the main demographic developments in the year of reference. The first results on the main demographic developments in the year of reference (T) contain the total population figure on 31 December of year T (further published by Eurostat as Population on 1 January of year T+1), and total births and total deaths during that year. While submitting this data is a legal requirement from EU Member States (EU Regulation No 1260/2013 on European Demographic Statistics, which entered into force on 1 January 2014), countries submit on voluntary basis data also on immigration and emigration that occurred during the course of the year (T). Eurostat's data collection on the above figures is called DEMOBAL and it is carried out in June of each year. Eurostat publishes these first demographic estimates in July of each year in the online database, in the table Population change - Demographic balance and crude rates (demo_gind). These first demographic estimates may either be confirmed or updated by the Eurostat demographic data collection taking place in December each year (called Unidemo), whereby countries submit detailed breakdowns (e.g. by age and sex) of their yearly population data, including data on migration, both at national and at regional level. The online table Population change - Demographic balance and crude rates (demo-gind) will be accordingly updated. This table includes the latest updates on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Eurostat database (Demography domain and Migration, for example the Population by citizenship and by country of birth table) may be transmitted to Eurostat at a subsequent date. Please note that the time series before 2013 available in the online table Population change - Demographic balance and crude rates (demo-gind) were collected by Eurostat from the national statistical offices in the past, on voluntary basis. The individual metadata files reported by the countries are also attached.
    • setembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      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.
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 novembro, 2019
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • maio 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 24 maio, 2019
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      The annual Eurostat's collections on population are structured as follows:
    • maio 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 22 maio, 2019
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      The annual Eurostat's collections on population are structured as follows:
    • maio 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 23 maio, 2019
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      The annual Eurostat's collections on population are structured as follows:
    • julho 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/
    • maio 2015
      Fonte: Earth Policy Institute
      Carregamento por: Knoema
      Acesso em 26 junho, 2015
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      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).
    • abril 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 maio, 2019
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      The annual Eurostat's collections on population are structured as follows:
    • dezembro 2016
      Fonte: International Telecommunication Union
      Carregamento por: Knoema
      Acesso em 02 março, 2017
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • outubro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 24 outubro, 2019
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      The total public sector employment covers all employment of general government sector as defined in System of National Accounts 1993 plus employment of publicly owned enterprises and companies, resident and operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, without regard for the particular type of employment contract. For more information, see the working paper: Statistics on Public Sector Employment: Methodology, Structures and Trends.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • setembro 2014
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      Description not available
  • Q
    • janeiro 2019
      Fonte: Quality of Government Institute
      Carregamento por: Knoema
      Acesso em 01 fevereiro, 2019
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      Data cited at: The Quality of Government Institute; Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Richard Svensson. 2018. The Quality of Government Standard Dataset, version Jan18. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGStdJan18   In the QoG Standard TS dataset, data from 1946 to 2018 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).    
    • dezembro 2013
      Fonte: United Nations World Food Programme
      Carregamento por: Sandeep Reddy
      Acesso em 03 outubro, 2017
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      Quantity Reporting: Measure food aid deliveries in metric tons
  • R
    • setembro 2019
      Fonte: Wikipedia
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
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    • fevereiro 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 02 maio, 2019
      Selecionar Conjunto de dados
    • agosto 2019
      Fonte: National Institute of Statistics, Italy
      Carregamento por: Knoema
      Acesso em 02 agosto, 2019
      Selecionar Conjunto de dados
      Data source(s) used: Migration and calculation of foreign resident population and structure by citizenship The survey allows the calculation of the demographic balance of the foreign resident population and gives the amount of foreign residents for each year. Foreign resident population is represented by individuals who do not have Italian citizenship having usual residence in Italy. It is calculated for each municipality on December 31st of each year that follows the population Census, adding to the foreign population enumerated by the census the foreign population inflows and outflows recorded during each calendar year Other data characteristics: Data subject to change for reconstruction after the last Population census
    • outubro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 15 setembro, 2019
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      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by day of week cover accidents only at Police responsibility areas between 2000-2011 whereas between 2012-2015 data cover both Police and Gendermarie responsibility areas. Data on fatalities and injured persons cover both Police and Gendermarie responsiblity areas. Until 2015 figures on persons killed include the deaths only at the accident scene. Since 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 15 setembro, 2019
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      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Cyprus Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” until 2005. Country: Estonia Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” until 2005. Country: Georgia Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” until 2005. Country: Kyrgyzstan Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness”. Country: Monaco Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness”. Country: Ukraine Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness”. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Slovenia Data for “Twilight (or unknown)” are included under items for “Daylight” and “Darkness” through 2007. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by light condition cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 15 setembro, 2019
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      .. - data not available Definition:Motorway: Road, specially designed and built for motor traffic, which does not serve properties bordering on it, and which a) Is provided, except at special points or temporarily, with separate carriageways for the two directions of traffic, separated from each other either by a dividing strip not intended for traffic or, exceptionally, by other means; b) Does not cross at level with any road, railway or tramway track, or footpath; and c) Is specially sign posted as a motorway. Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Croatia Data for motorways are included under items for inside built-up areas and outside built-up areas between 1999 and 2004. Country: Ireland Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Israel Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Kazakhstan Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Kyrgyzstan Data for motorways are included under items for inside built-up areas and outside built-up areas. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 15 setembro, 2019
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      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
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      Source: UNECE Transport Division Database. Definition: Accidents between vehicle and pedestrian: Accidents involving one or several vehicles and pedestrians irrespective of whether the pedestrian was involved in the first or a later phase of the accident and of whether the pedestrian was injured or killed on or off the road. Single vehicle accidents: Accidents involving no collision with other road users, even though they may be involved, i.e. vehicle trying to avoid collision and veering off the road, or accident caused by collision with obstructions or animals on the road. Collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Accidents between vehicles: Remainder of Accidents between vehicle and pedestrian and Single vehicle accidents. Rear-end collision: Accident caused by a rear-end collision with another vehicle using the same lane of a carriageway and moving in the same direction or temporarily stopping due to the traffic conditions. Rear end collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Collision due to crossing or turning: Accident caused by a rear-end or head on collision with another vehicle moving in a lateral direction due to leaving or entry from/to another lane, road or premise. Rear end or head on collisions with vehicles waiting to turn belong to either Rear-end collision or Head on collision. Head on collision: Accident caused by a head on collision with another vehicle using the same lane of a carriageway and moving in the opposite direction or temporarily stopping due to traffic conditions. Head on collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Other collision, including collision with parked vehicles: Accident caused by driving side by side, while overtaking each other or when changing lanes (cutting in on someone), or by a rear-end or head-on collision with a stationary vehicle which stops or parks deliberately and not as a result of traffic conditions at the edge of a carriageway, on shoulders, on marked parking spaces, on footpaths or parking sites. Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Built-up area: An area with entries and exits specially sign-posted as such. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Croatia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Georgia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by nature of accident cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 15 setembro, 2019
      Selecionar Conjunto de dados
      Source: UNECE Transport Division Database. Definition:Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Netherlands Injured persons refer to persons who were hospitalized. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: Turkey Data by road condition cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 03 outubro, 2019
      Selecionar Conjunto de dados
      Source: UNECE Transport Division Database. Definition: Accidents between vehicle and pedestrian: Accidents involving one or several vehicles and pedestrians irrespective of whether the pedestrian was involved in the first or a later phase of the accident and of whether the pedestrian was injured or killed on or off the road. Single vehicle accidents: Accidents involving no collision with other road users, even though they may be involved, i.e. vehicle trying to avoid collision and veering off the road, or accident caused by collision with obstructions or animals on the road. Collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Accidents between vehicles: Remainder of Accidents between vehicle and pedestrian and Single vehicle accidents. Rear-end collision: Accident caused by a rear-end collision with another vehicle using the same lane of a carriageway and moving in the same direction or temporarily stopping due to the traffic conditions. Rear end collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Collision due to crossing or turning: Accident caused by a rear-end or head on collision with another vehicle moving in a lateral direction due to leaving or entry from/to another lane, road or premise. Rear end or head on collisions with vehicles waiting to turn belong to either Rear-end collision or Head on collision. Head on collision: Accident caused by a head on collision with another vehicle using the same lane of a carriageway and moving in the opposite direction or temporarily stopping due to traffic conditions. Head on collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Other collision, including collision with parked vehicles: Accident caused by driving side by side, while overtaking each other or when changing lanes (cutting in on someone), or by a rear-end or head-on collision with a stationary vehicle which stops or parks deliberately and not as a result of traffic conditions at the edge of a carriageway, on shoulders, on marked parking spaces, on footpaths or parking sites. Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Built-up area: An area with entries and exits specially sign-posted as such. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Croatia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Georgia When it is not available, data for Collisions due to crossing or turning are included under Head on collisions. Country: Latvia Persons are recorded as killed who die at the scene of the accident or within 7 days; persons who die later are recorded as injured. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Portugal Data refer to continent only. Country: Portugal Persons are recorded as killed who die at the scene of the accident or during or immediately after transport from the scene of the accident; persons who die later are recorded as injured. Country: Serbia Breakdown includes data from accidents on motorways within built-up areas. Country: Spain Persons are recorded as killed who die within 24 hours as a result of the accident; persons who die later are recorded as injured. Country: The former Yugoslav Republic of Macedonia Sum of breakdown does not equal total as breakdown includes accidents taking place on motorways. Country: Turkey Data by nature of accident cover accidents only at Police responsibility area for years between 2000-2011 whereas for years between 2012-2015 data cover both Police and Gendermarie responsibility area. Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities. Country: United Kingdom Data refer to Great Britain.
    • maio 2011
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 21 novembro, 2018
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      Source: UNECE Transport Division Database. Killed: Any person who was killed outright or who died within 30 days as a result of the accident. Injured: Any person, who was not killed, but sustained one or more serious or slight injuries as a result of the accident. Please note that country footnotes are not always in alphabetical order. .. - data not available For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Accidents: Number of injured , Country: Portugal Data refer to continent only. Accidents: Number of injured , Country: United Kingdom Data refer to Great Britain.
    • outubro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Source: UNECE Transport Division Database. Definitions Passenger: Any person, other than the driver, who is in or on a vehicle. Road vehicle: A vehicle running on wheels and intended for use on roads. Passenger car: Road motor vehicle, other than a motor cycle, intended for the transport of passengers and seating not more than nine persons (including the driver). The term passenger car therefore covers taxis and hired vehicles, provided that they have fewer than ten seats. Motor coach or bus: Passenger road motor vehicle, seating more than nine persons (including the driver). Trolleybus: A passenger road vehicle, seating more than nine persons (including the driver), which is connected to electric conductors and which is not rail-borne. Road tractor : Road motor vehicle designed, exclusively or primarily, to haul other road vehicles which are not power-driven (mainly semi-trailers). Agricultural tractors are excluded. Please note that country footnotes are not always in alphabetical order. .. - data not available Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Country: Azerbaijan For 2010, data for the 2 > or = 5 years category refers to Country: Belgium Excluding vehicles for which technical characteristics are unknown. Country: Bosnia and Herzegovina ''Light goods road vehicles'' include ''Road tractors''. ''Trailers'' include ''Semi-trailers''. Country: Kazakhstan Light goods road vehicles refer to all lorries. Country: Bulgaria Light goods road vehicles refer to all lorries. Country: Canada Passenger cars refers to all vehicles with at least four wheels weighing less than 4,500 kg Country: Croatia For data prior to 2015, refers to all lorries Country: Switzerland ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. Country: Czechia ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = Country: The former Yugoslav Republic of Macedonia ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = Country: Finland Excluding vehicles registered in Aland. Country: Hungary ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. ''Lorries'' includes special purpose motor vehicles. Country: Ireland > 10 and = Country: Luxembourg > 10 and = Country: Norway > 10 and = Country: Latvia Data from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data. Country: Latvia For data prior to 2014, > 10 and = 10 years Country: Lithuania The state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014. Country: Russian Federation ''Motor coaches, buses and trollyebuses'' excludes trolleybuses. > 10 and = or = 5 years refers to less than 5 years. Country: United Kingdom Data refer to Great Britain. Country: United States Lorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks'' Country: United States From 2007, passenger cars refers to 'Light duty vehicles, short wheel base'. Prior to 2007, passenger cars referred to 'Passenger Cars and Other 2-axle, 4-tire vehicles'. Motor coaches, buses, etc refer to those used on interstates only. Type of Vehicle: Light goods road vehicles For data prior to 2013, refers to all lorries. Age Group: > 10 and = For data prior to 2013, refers to > 10 years
    • outubro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 10 outubro, 2019
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      Country: SerbiaTerritorial change (2000 onward): Data do not cover Kosovo and Metohija.Country: Bosnia and Herzegovina''Light goods road vehicles'' include ''Road tractors''.Country: KazakhstanLight goods road vehicles refer to all lorries.Country: BulgariaLight goods road vehicles refer to all lorries.Country: CanadaPassenger cars refers to all vehicles with at least four wheels weighing less than 4,500 kgCountry: CroatiaFor data prior to 2015, refers to all lorriesCountry: Cyprus''Petrol'' includes both diesel and petrol hybrid vehicles.Country: Czechia''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: Russian Federation''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: Switzerland''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: The former Yugoslav Republic of Macedonia''Motor coaches, buses and trollyebuses'' excludes trolleybuses.Country: EstoniaElectric motor coaches, bus, and trolleybuses refers to trolleybuses only.Country: FinlandExcluding vehicles registered in Aland.Country: Hungary''Motor coaches, Buses and Trolleybuses'' excludes trolleybuses. ''Petrol'' and ''diesel'' vehicles exclude hybrid vehicles. ''Other sources'' includes hybrid vehicles.Country: Italy''Petrol'' and ''diesel'' vehicles exclude hybrid vehicles.Country: LatviaData from 2010 onward reflect changes in rules regarding the removal of vehicles from the register. As a result, data before this year are not comparable with more recent data.Country: LithuaniaThe state enterprise Regitra of the Republic of Lithuania deregistered vehicles whose compulsory technical inspection or vehicle owner's compulsory civil liability insurance expired by 1 July 2014.Country: United KingdomData refer to Great Britain.Country: United StatesLorries refers to U.S. categories ''Single Unit'' and ''Combination Trucks''Country: United StatesFrom 2007, passenger cars refers to 'Light duty vehicles, short wheel base'. Prior to 2007, passenger cars referred to 'Passenger Cars and Other 2-axle, 4-tire vehicles'. Motor coaches, buses, etc refer to those used on interstates only.Fuel Type: - Compressed natural gas (CNG)For passenger cars, includes liquefied natural gas (LNG).Fuel Type: - Hybrid electric-dieselFor light goods vehicles, lorries and road tractors, includes plug-in hybrid diesel electric vehicles.Fuel Type: - Hybrid electric-petrolFor light goods vehicles and lorries, includes plug-in hybrid petrol-electric vehicles.Type of Vehicle: Light goods road vehiclesFor data prior to 2013, refers to all lorries.
  • S
    • agosto 2019
      Fonte: Scimago Institutions Rankings
      Carregamento por: Knoema
      Acesso em 21 outubro, 2019
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      Restrictions apply: https://www.scimagojr.com/aboutus.php   Citation: SCImago, (n.d.). SJR — SCImago Journal & Country Rank [Portal]. Retrieved Date you Retrieve, from http://www.scimagojr.com   SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.
    • março 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 04 abril, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • agosto 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 05 outubro, 2018
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      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 12 setembro, 2019
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      For European Union member states, Iceland, Norway, and Switzerland the source of data from year 2005 is CARE database. Country: Moldova, Republic of Break in series: From 2007 a regulation has made it compulsory for police inspectors to enter data about road accidents. For years prior this is not the case. Country: Turkey Until year 2015 figures on persons killed include the deaths only at the accident scene; however since year 2015 figures on persons killed also include the deaths within 30 days after the traffic accidents due to related accident and its impacts for people injured and sent to health facilities.
    • setembro 2019
      Fonte: Social Progress Imperative
      Carregamento por: Knoema
      Acesso em 14 outubro, 2019
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        Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2019 Social Progress Index. Therefore, using the 2019 Social Progress Index framework and methodology, we provide comparable historical data for additional five years of the Social Progress Index, from 2014 to 2018.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data refer to the statutory minimum monthly gross earnings of employees as of December 31st of each year, presented in nominal terms. Minimum wages are not reported for countries for which collective bargaining is in place for minimum wages. In cases where a national minimum wage is not mandated, the minimum wage in place in the capital or major city is used. In some cases, an average of multiple regional minimum wages is used. In countries where the minimum wage is set at the sectoral level or occupational level, the minimum wage for manufacturing or unskilled workers is generally applied.
    • fevereiro 2015
      Fonte: World Life Expectancy
      Carregamento por: Knoema
      Acesso em 07 maio, 2015
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    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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    • maio 2018
      Fonte: Suriname Tourism Foundation
      Carregamento por: Knoema
      Acesso em 03 julho, 2018
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      Location:-Visitors are coming from mentioned location.(World is total of all visitors) Nationality:-Nationality of visitors, whether the nationality of the visitors is same as the location or they belong to different nationality.(Under this dimension "Total" represents total number of visitors by their nationality) Ports:-Tourist arrival via ports.
    • junho 2019
      Fonte: Sustainable Development Solutions Network
      Carregamento por: Knoema
      Acesso em 09 julho, 2019
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      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
    • novembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2018
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      The Sustainable Development Goals Report 2018 reviews progress in the third year of implementation of the 2030 Agenda presenting an overview with charts and info-graphics of highlights of the 17 Goals, followed by chapters that focus in more depth on the Goals under review at the high-level political forum in July 2018. This report follows the recently published report of the United Nations Secretary-General on "Progress towards the Sustainable Development Goals" (E/2018/64), both of which are based on the global indicator framework developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed by the General Assembly in July 2017 in resolution 71/313. The launch of The Sustainable Development Goals Report 2018 is accompanied by the Global SDG Indicators Database, which presents country level data and global and regional aggregates compiled through the UN System and other international organizations.
  • T
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 25 junho, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Tajikistan Data source: 2000, 2010 - population and housing census; 2011-2014 - source unspecified. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 01 julho, 2019
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      The total for ''All countries'' includes persons for whom the country of previous residence is unknown.UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia In 2001 and 2011 the registered data refer to the date of conducting the Population Census and the number exceeds the total foreign population living in Armenia. Data from 2014 onwards are based on administrative sources. Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: 2009 - population and housing census; 2010 and onwards - residence permits. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. In 2011 and 2012, the full break down by age and sex is not available for some countries of previous residence. The total flow from each country of previous residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine 2001 data include all those who have ever moved. Data source: 2001 - population and housing census; 2011, 2012 - residence permits. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 25 junho, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. The total for ''All countries'' includes persons for whom the country of next residence is unknown. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2014 and onwards - population register. Country: Azerbaijan Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - administrative source. Country: Kazakhstan Data source: exit permits. Country: Kyrgyzstan For a number of persons the information on the country of next residence is missing in the source. Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. In 2011 and 2012, the full break down by age and sex is not available for some countries of next residence. The total flow from each country of next residence is available. Data source: administrative source. Country: Tajikistan The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: administrative source. Country: Ukraine Data source: administrative source. Country: Uzbekistan Data from 2011 to 2014 include internal migrants within Uzbekistan. Data source: administrative source.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained a permanent residence permit in Azerbaijan. Azer citizens returning from abroad are not included in the total number. Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. Data source: administrative source. Country: Ukraine Data source: 2001 - population and housing census; 2011, 2012 - residence permits.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained an exit permit in Azerbaijan. Azer citizens are not included in the total number. Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. Data source: administrative source. Country: Ukraine Data source: administrative source.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 25 junho, 2019
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      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: administrative source. Country: Georgia Data source: civil register. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation Data source: administrative source. Country: Ukraine Data source: administrative source.
    • junho 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 25 junho, 2019
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      The UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA), established with the purpose of improving the understanding of migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: residence permits. Country: Moldova, Republic of Data source: population register. Country: Tajikistan Disaggregation by sex is only available for people who immigrated for work purposes. Data source: work permits.
    • agosto 2019
      Fonte: bitnodes
      Carregamento por: Алина Бузанакова
      Acesso em 02 setembro, 2019
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    • setembro 2019
      Fonte: World Inequality Database
      Carregamento por: Knoema
      Acesso em 30 setembro, 2019
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    • dezembro 2015
      Fonte: United Nations Statistics Division
      Carregamento por: Sandeep Reddy
      Acesso em 19 agosto, 2017
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      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
    • setembro 2019
      Fonte: World Chess Federation
      Carregamento por: Knoema
      Acesso em 18 setembro, 2019
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      This Dataset consists of top 100 chess players for the period of starting from 2001 January.
    • fevereiro 2019
      Fonte: World Integrated Trade Solution
      Carregamento por: Knoema
      Acesso em 07 março, 2019
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      This dataset provides trade and tariff data for countries where the reporter is "World".
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • setembro 2014
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 31 agosto, 2018
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      Description not available
    • setembro 2019
      Fonte: United Nations Economic Commission for Europe
      Carregamento por: Knoema
      Acesso em 26 setembro, 2019
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      .. - data not available Source: UNECE Transport Division Database. Definitions: Road : Line of communication (travelled way) using a stabilized base other than rails or air strips open to public traffic, primarily for the use of road motor vehicles running on their own wheels. Included are bridges, tunnels, supporting structures, junctions, crossings and interchanges. Toll roads are also included. Excluded are dedicated cycle paths. Category of road (state roads, provincial roads, local roads) : Classification of the road network according to: (a) administration responsible for its construction maintenance and/or (b) according to design standards or, (c) according to the users allowed to have access on the road. Motorway : Road, specially designed and built for motor traffic, which does not serve properties bordering on it, and which: (a) is provided, except at special points or temporarily, with separate carriageways for the two directions of traffic, separated from each other, either by a dividing strip not intended for traffic, or exceptionally by other means; (b) does not cross at level with any road, railway or tramway track, or footpath; (c) is specially sign-posted as a motorway and is reserved for specific categories of road motor vehicles. Entry and exit lanes of motorways are included irrespectively of the location of the sign-posts. Urban motorways are also included. E road : The international “E“ network consists of a system of reference roads as laid down in the European Agreement on Main International Arteries, Geneva, 15 November 1975 and its amendments. Please note that country footnotes are not always in alphabetical order. Country: Serbia Territorial change (2000 onward): Data do not cover Kosovo and Metohija. Country: Georgia ''Local roads included under ''Provincial Roads'' Country: Hungary ''Local roads included under ''Provincial Roads'' Country: Azerbaijan ''Local roads included under ''Provincial Roads'' Country: Belarus ''Local roads included under ''Provincial Roads'' Country: Croatia In 2012, the Highway Act came into force and unclassified roads are excluded from other roads Country: Czechia Road administration system change since 1 January 2016; most expressways were changed into class II motorways. Country: Estonia ''Motorways'' refers to first class roads, ''Provincial roads'' refers to local roads, ''Local roads'' refers to forest and private roads Country: Kazakhstan For 2008 and data prior to 2006, ''Local roads included under ''Provincial Roads'' Country: Netherlands ''Motorways'' includes communal, provincial and state roads. ''Local roads'' refers to communal and district water board roads. Data are from 1 April. Country: Norway Data for state roads and provincial roads from 2010 onward are not comparable with previous years due to the reclassification of approximately 17 000 kilometres of roads. Country: Portugal Refers to mainland only Country: Russian Federation ''Motorways'' refers to Category 1A roads of federal, regional or inter-municipal significance, ''State roads'' refers to public roads of federal significance. ''Provincial roads'' refers to public roads of regional or inter-municipal significance. Country: Slovenia From 1998, motorways refers to state motorways and highways. State roads refers to main and secondary state roads. Provincial roads refers to urban and rural municipal roads. Communal roads refers to combined urban / rural municipal roads. Country: Sweden ''Other roads'' excludes private roads without operational grants. ''State roads'' includes E roads and national roads. Country: Switzerland State roads refer to other national roads. Provincial roads refer to canton roads. Country: Turkey 'Other roads' does not include urban roads. Country: Ukraine For data prior to 2006, ''Local roads included under ''Provincial Roads'' Country: United Kingdom Through 1997, 'State roads', 'Provincial roads' and 'Communal roads' refer to Great Britain. E roads refers to Great Britain for all years. Country: United States Motorways include Puerto Rico.
    • setembro 2018
      Fonte: National Bureau of Statistics of the Republic of Moldova
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Source: National Bureau of Statistics of the Republic of Moldova http://www.statistica.md/index.php?l=en Topic: Statbank, Regional statistics Publication: http://statbank.statistica.md/pxweb/pxweb/en/60%20Statistica%20regionala/60%20Statistica%20regionala__19%20TRA/?rxid=5360837a-13b5-4912-a2e0-12892e96d2ab License: http://creativecommons.org/licenses/by/4.0/   Tourism & Transport Statistics of Moldova, 2015
    • julho 2019
      Fonte: Statistics Botswana
      Carregamento por: Knoema
      Acesso em 19 julho, 2019
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      Data cited at: https://botswana.opendataforafrica.org/stuwedg Tourism Statistics by country of origin, Botswana
    • outubro 2018
      Fonte: National Statistics Bureau, Bhutan
      Carregamento por: Knoema
      Acesso em 20 dezembro, 2018
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    • janeiro 2016
      Fonte: National Institute of Statistics, Madagascar
      Carregamento por: Knoema
      Acesso em 12 julho, 2019
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      Data cited at: https://madagascar.opendataforafrica.org/MGTRS2016
    • junho 2018
      Fonte: Pew Research Center
      Carregamento por: Knoema
      Acesso em 22 agosto, 2018
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      Levels of restrictions on religion Government Restrictions Index Very high- 6.6 to 10.0 High- 4.5 to 6.5 Moderate - 2.4 to 4.4 Low- 0.0 to 2.3 Social Hostilities Index Very high- 7.2 to 10.0 High- 3.6 to 7.1 Moderate- 1.5 to 3.5 Low- 0.0 to 1.4
  • U
    • junho 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 21 agosto, 2019
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      U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2017
    • setembro 2019
      Fonte: U.S. Department of the Treasury
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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    • setembro 2019
      Fonte: U.S. Department of the Treasury
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      U.S. Financial Firms Liabilities: Data by Type, Country and Region
    • janeiro 2018
      Fonte: National Science Foundation
      Carregamento por: Knoema
      Acesso em 01 fevereiro, 2018
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      Courtesy of the National Science Foundation
    • abril 2019
      Fonte: U.S. Department of Agriculture
      Carregamento por: Sandeep Reddy
      Acesso em 13 abril, 2019
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      This dataset covers the following public data available at US Dept. of Agriculture website. 1. Wheat: Supply and disappearance 2. Hard red winter wheat: Supply and disappearance 3. Hard red spring wheat: Supply and disappearance 4. Soft red winter wheat: Supply and disappearance 5. White wheat: Supply and disappearance 6. U.S. wheat exports by selected destinations (1,000 metric tons) Reference Market year (start from Jun-May) Q 1 in Market year: Jun-August Q 2 in Market year: Sep-Nov Q 3 in Market year: Dec-Feb Q 4 in Market year: March-May
    • julho 2018
      Fonte: United Nations Public Administration Country Studies
      Carregamento por: Knoema
      Acesso em 13 agosto, 2018
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      Data cited at: UN E-Government Knowledgebase - https://publicadministration.un.org/egovkb/en-us/ 1. The EGDI is based on a comprehensive Survey of the online presence of all 193 United Nations Member States, which assesses national websites and how e-government policies and strategies are applied in general and in specific sectors for delivery of essential services. The assessment rates the e-government performance of countries relative to one another as opposed to being an absolute measurement. The results are tabulated and combined with a set of indicators embodying a country’s capacity to participate in the information society, without which e-government development efforts are of limited immediate use. Although the basic model has remained consistent, the precise meaning of these values varies from one edition of the Survey to the next as understanding of the potential of e-government changes and the underlying technology evolves. This is an important distinction because it also implies that it is a comparative framework that seeks to encompass various approaches that may evolve over time instead of advocating a linear path with an absolute goal. 2. E-Government Development Index-EGDI Very High-EGDI (Greater than 0.75) High-EGDI (Between 0.50 and 0.75) Middle-EGDI (Between 0.25 and 0.50) Low-EGDI (Less than 0.25)
    • dezembro 2015
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 15 setembro, 2017
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    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For purposes of international comparability, the period of job search is often defined as the preceding four weeks, but this varies from country to country. The specific steps taken to seek employment may include registration at a public or private employment exchange; application to employers; checking at worksites, farms, factory gates, market or other assembly places; placing or answering newspaper advertisements; seeking assistance of friends or relatives; looking for land, building, machinery or equipment to establish own enterprise; arranging for financial resources; and applying for permits and licences.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For purposes of international comparability, the period of job search is often defined as the preceding four weeks, but this varies from country to country. The specific steps taken to seek employment may include registration at a public or private employment exchange; application to employers; checking at worksites, farms, factory gates, market or other assembly places; placing or answering newspaper advertisements; seeking assistance of friends or relatives; looking for land, building, machinery or equipment to establish own enterprise; arranging for financial resources; and applying for permits and licences. Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For purposes of international comparability, the period of job search is often defined as the preceding four weeks, but this varies from country to country. The specific steps taken to seek employment may include registration at a public or private employment exchange; application to employers; checking at worksites, farms, factory gates, market or other assembly places; placing or answering newspaper advertisements; seeking assistance of friends or relatives; looking for land, building, machinery or equipment to establish own enterprise; arranging for financial resources; and applying for permits and licences. Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 11 novembro, 2019
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      The unemployment rate conveys the number of persons who are unemployed as a percent of the labour force (i.e., the employed plus the unemployed). The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For further information, see the SDG Indicators Metadata Repository (https://unstats.un.org/sdgs/metadata/) or ILOSTAT's indicator description.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). Data by level of education are provided on the highest level of education completed.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force).
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force).
    • junho 2015
      Fonte: United Nations Environment Programme
      Carregamento por: Knoema
      Acesso em 30 junho, 2016
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      The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.
    • setembro 2018
      Fonte: United Nations Environment Programme
      Carregamento por: Knoema
      Acesso em 22 outubro, 2018
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    • fevereiro 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 05 setembro, 2019
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    • fevereiro 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 05 setembro, 2019
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    • fevereiro 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 05 setembro, 2019
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    • junho 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 05 setembro, 2019
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    • junho 2018
      Fonte: United Nations High Commissioner for Refugees
      Carregamento por: Knoema
      Acesso em 16 julho, 2018
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      Note:  In the 2017 data, figures between 1 and 4 represent situations where the figures are being kept confidential to protect the anonymity of individuals. Such figures are not included in any totals. The UNHCR Population Statistics Database currently contains data about UNHCR's populations of concern from the year 1959 up to 2017. UNHCR identifies seven population categories, collectively referred to as ‘persons of concern’: refugees, asylum-seekers, internally displaced persons (IDPs), refugees who have returned home (returnees), IDPs who have returned home, persons under UNHCR’s statelessness mandate, and others who do not fall under these categories but to whom the agency extends protection. Since 2007, two additional sub-categories have been added: individuals in refugee-like situations (included under refugees) and those in IDP-like situations (included under IDPs). Refugees include individuals recognised under the 1951 Convention relating to the Status of Refugees; its 1967 Protocol; the 1969 OAU Convention Governing the Specific Aspects of Refugee Problems in Africa; those recognised in accordance with the UNHCR Statute; individuals granted complementary forms of protection; or those enjoying temporary protection. Since 2007, the refugee population also includes people in a refugee-like situation. Asylum-seekers are individuals who have sought international protection and whose claims for refugee status have not yet been determined, irrespective of when they may have been lodged. Internally displaced persons (IDPs) are people or groups of individuals who have been forced to leave their homes or places of habitual residence, in particular as a result of, or in order to avoid the effects of armed conflict, situations of generalised violence, violations of human rights, or natural or man-made disasters, and who have not crossed an international border. For the purposes of UNHCR's statistics, this population only includes conflict-generated IDPs to whom the Office extends protection and/or assistance. Since 2007, the IDP population also includes people in an IDP-like situation. Returned refugees are former refugees who have returned to their country of origin spontaneously or in an organised fashion but are yet to be fully integrated. Such return would normally only take place in conditions of safety and dignity. Returned IDPs refer to those IDPs who were beneficiaries of UNHCR's protection and assistance activities and who returned to their areas of origin or habitual residence during the year. Stateless persons are defined under international law as persons who are not considered as nationals by any State under the operation of its law. In other words, they do not possess the nationality of any State. UNHCR statistics refer to persons who fall under the agency’s statelessness mandate because they are stateless according to this international definition, but data from some countries may also include persons with undetermined nationality. Others of concern refers to individuals who do not necessarily fall directly into any of the groups above, but to whom UNHCR extends its protection and/or assistance services, based on humanitarian or other special grounds.
    • julho 2017
      Fonte: United Nations Children's Fund
      Carregamento por: Sandeep Reddy
      Acesso em 23 agosto, 2017
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      According to UNICEF report, in 2015, seven out of ten people used a safely managed drinking water service. Universal access to safe drinking water is a fundamental need and human right. Securing access for all would go a long way in reducing illness and death, especially among children. Since 2000, 1.4 billion people have gained access to basic drinking water services, such as piped water into the home or a protected dug well. In 2015, 844 million people still lack a basic water service and among them almost 159 million people still collected drinking water directly from rivers, lakes and other surface water sources. The data reveal pronounced disparities, with the poorest and those living in rural areas least likely to use a basic service. “Safely managed” water services represent an ambitious new rung on the ladder used to track progress on drinking water. In 2015, 5.2 billion people used safely managed services, i.e. accessible on premises, available when needed and free from contamination. A further 1.3 billion used a ‘basic’ water service, i.e. improved sources within 30 minutes per round trip to collect water. Over a quarter of a billion (258 million) used a ‘limited’ service where water collection from an improved source exceeded 30 minutes. In most countries the burden of water collection continues to fall mainly to women and girls.
    • outubro 2018
      Fonte: United Nations Children's Fund
      Carregamento por: Knoema
      Acesso em 18 dezembro, 2018
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      Millions of children are not protected against Violence, Child labor, Trafficking, Sexual exploitation, Female genital mutilation/cutting, Child marriage and worldwide they experience the worst kinds of rights violations. Millions more children, not yet victims, are inadequately protected against them. UNICEF uses the term ‘Child Protection’ to refer to prevention and response to violence, exploitation and abuse of children in all contexts. This includes reaching children who are especially vulnerable to these threats, such as those living without family care, on the streets or in situations of conflict or natural disasters. Note: Year 2010-2016 is taken as 2016
    • outubro 2015
      Fonte: Joint United Nations Programme on HIV/AIDS
      Carregamento por: Sandeep Reddy
      Acesso em 26 fevereiro, 2016
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      UNAIDS was mandated by the UN General Assembly to monitor progress on global AIDS response in the 2001 General Assembly Special Session on HIV and AIDS, and reaffirmed in the 2011 High Level Meeting. The Global AIDS Response Progress Reporting data consists of 30 indicators, divided by 10 global targets, which are reported by participating countries on their national response to HIV/AIDS. Data used to be reported every second year from 2004 until 2012, However, starting 2013, data are collected every year to enable effective monitoring towards Millennium Development Goals of 2015. Collected data are published as part of the Global Report on AIDS. In 2014, 180 out of 193 UN member states (171 in 2013) submitted their reports.
    • novembro 2018
      Fonte: DevInfo
      Carregamento por: Knoema
      Acesso em 05 dezembro, 2018
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      This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators
    • julho 2019
      Fonte: Joint United Nations Programme on HIV/AIDS
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
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      This Dataset contains Regional and National level Data.
    • abril 2019
      Fonte: Notre Dame Global Adaptation Initiative
      Carregamento por: Knoema
      Acesso em 11 novembro, 2019
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      The ND-GAIN Country Index summarizes a country's vulnerability to climate change and other global challenges in combination with its readiness to improve resilience. It aims to help governments, businesses and communities better prioritize investments for a more efficient response to the immediate global challenges ahead.  View the ND-GAIN technical documentation for more information
    • abril 2015
      Fonte: United Nations Office on Drugs and Crime
      Carregamento por: Kirill Kosenkov
      Acesso em 12 dezembro, 2015
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      United Nations Office on Drugs and Crime (UNODC) collects data on crime and the operation of criminal justice systems in order to make policy-relevant information and analysis available in a timely manner to the international community, conducting Surveys of Crime Trends and the Operations of Criminal Justice Systems (UN-CTS). The major goal of the United Nations Surveys on Crime Trends and the Operations of Criminal Justice Systems is to collect data on the incidence of reported crime and the operations of criminal justice systems with a view to improving the analysis and dissemination of that information globally. The survey results provide an overview of trends and interrelationships between various parts of the criminal justice system to promote informed decision-making in administration, nationally and internationally.
    • abril 2019
      Fonte: United Nations Office on Drugs and Crime
      Carregamento por: Knoema
      Acesso em 29 julho, 2019
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    • agosto 2019
      Fonte: United Nations Office on Drugs and Crime
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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      The dataset provides homicide data by countries. Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • novembro 2018
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 01 abril, 2019
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      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
    • setembro 2018
      Fonte: U.S. Department of Homeland Security
      Carregamento por: Knoema
      Acesso em 20 novembro, 2018
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      The Yearbook of Immigration Statistics is a compendium of tables that provides data on foreign nationals who, during a fiscal year, were granted lawful permanent residence (i.e., admitted as immigrants or became legal permanent residents), were admitted into the United States on a temporary basis (e.g., tourists, students, or workers), applied for asylum or refugee status, or were naturalized.
  • V
    • agosto 2019
      Fonte: United Nations Office on Drugs and Crime
      Carregamento por: Knoema
      Acesso em 12 agosto, 2019
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      UNODC Assaults, Kidnapping, Robbery, Sexual Offences, Sexual Rape, Total Sexual Violence   Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data
  • W
    • junho 2018
      Fonte: World Economics and Politics (WEP) Dataverse
      Carregamento por: Knoema
      Acesso em 25 setembro, 2018
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      Data cited at: World Economics and Politics (WEP) Dataverse   World Economic and Politics dataverse- 1800 to 2017
    • maio 2012
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 01 junho, 2012
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      Body mass index (BMI) is a simple index of weight-for-height that is commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). The WHO definition is: a BMI greater than or equal to 25 is overweight a BMI greater than or equal to 30 is obesity. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and for all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals.
    • julho 2017
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 08 fevereiro, 2018
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    • junho 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 07 junho, 2019
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      These metadata refer to the annual population data under Population / Demography domain in Eurostat's Dissemination data tree. Eurostat carries on annual demography data collections with the aim of collecting from the National Statistical Institutes detailed data on population, vital events, marriages and divorces. These data are validated, processed and disseminated. Further on, Eurostat uses the collected detailed data to compute and disseminate demographic indicators at country level, at regional level and at EU level, by applying harmonized methods of calculation. The demography data collections are done on voluntary basis and the completeness of information depends on the availability of data reported by the National Statistical Institutes. The first demography data collection of each year, named Rapid, is carried out in April-May (deadline 15 May). Within this data collection the first results on the main demographic developments in the previous year (T-1) and the population on 1st January of the current year (T) are collected from the National Statistical Institutes. A second annual data collection, Joint Demography data collection, is carried out in cooperation with United Nation Statistical Division (UNSD) in the summer of each year, having the deadline 15 September. Within this data collection Eurostat collects from the National Statistical Institutes detailed data on the demographic events (births, deaths, marriages and divorces) of the previous year (T-1) and the population on 1st January of the current year (T), broken down by sex, age and other characteristics. The Nowcast Demography data collection is carried out in October-November (deadline 15 November). The monthly time series on births, deaths, immigrants and emigrants available from the beginning of current year (T) are collected, with the purpose of producing by the end of the current year (T) a forecast on 1st January population of the following year (T+1). The Regional Demography data collection is carried out in November-December (deadline 15 December). It is based on the regional breakdown of the countries agreed at EU level using the latest version of the Nomenclature of Territorial Units for Statistics (NUTS) and of the Statistical regions for the EFTA and Candidate countries. Within this data collection Eurostat collects from the National Statistical Institutes data by NUTS level 1, 2 and 3 for the vital events taking place in the previous year (T-1) and the population figures on 1st January of the current year (T). Any updates sent by the National Statistical Institutes in-between data collections are validated, processed and disseminated in Eurostat's online database as soon as possible. The European aggregates and the demographic indicators are updated accordingly. Please note:The tables presenting population on 1 January figures by various breakdowns may display variations in the total population for some countries at a given moment in time. This may occur due to one of the following reasons: - The timing of the transmission to Eurostat of the population data for various breakdown may lead to different population on 1 January figures displayed in different population tables at a given moment in time. - The transmission to Eurostat of the post-census population revisions (following the 2011 population Censuses) is expected to be done by the national statistical offices gradually for the population breakdowns. The time series of populations between the previous census taking place in the country and 2011 will be revised by end 2013 by some of the countries, taking into account Eurostat’s recommendation. The following countries have transmitted to Eurostat post-2011 Census population revisions, broken down by age and sex, by autumn of 2013, which are reflected in the tables ‘Demographic balance and crude rates (demo_gind)’, ‘Population on 1 January by age and sex (demo_pjan)’, ‘Population on 1 January by five years age groups and sex (demo_pjangroup)’ and ‘Population on 1 January by broad age group and sex (demo_pjanbroad)’: BG 2007-2011; CZ 2001-2011; EE 2000-2011; IE 2007-2011; EL 2011; ES 2002-2011; HR 2001-2011; CY 2003-2011; LV 2001-2011; LT 2001-2011; MT 2006-2011; AT 2008-2011; PT 1992-2011; RO 2002-2011; SK 2002-2011; UK 2002-2011 (not including post-2011 Census data for Scotland); ME 2010-2011; RS 2011. As regards the the population data for the year 2012 and after, for most of the countries these take into account the results of the latest population census (held in 2011). IT 2012-2013 and DE 2012-2013 reported only the total post-2011 Census populations which are published in the table ‘Demographic balance and crude rates (demo_gind)’. The breakdown by age and sex will follow later on. - The succession of the annual demography data collections described above, which collect and update population breakdowns at different moment during the calendar year. - The calendar of the national statistical offices for producing and releasing population broken down by various topics, respectively the timings when data are transmitted to Eurostat. The most updated data on total population on 1st January and on the total number of live births and deaths may be found in the table 'Demographic balance and crude rates (demo_gind)' of the online 'Database by theme'. This table includes the latest updates (or revised data) on total population, births and deaths reported by the countries, while the detailed breakdowns by various characteristics included in the rest of the tables of the Demography domain (and also for Population by citizenship and by country of birth) may be transmitted to Eurostat at a subsequent date.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 11 novembro, 2019
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      The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit. Level of education refers to the highest level completed, classified according to the International Standard Classification of Education (ISCED).
    • julho 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 22 agosto, 2019
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      Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development.
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Sustainable Energy For All Publication: https://datacatalog.worldbank.org/dataset/sustainable-energy-all License: http://creativecommons.org/licenses/by/4.0/   The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.
    • outubro 2013
      Fonte: World Chess Federation
      Carregamento por: Knoema
      Acesso em 07 outubro, 2013
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      Country rank by average rating of top 10 players
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • maio 2014
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 18 junho, 2014
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      Includes datasets on communicable diseases, human resources for health, noncommunicable diseases and world health statistics.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
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      World Indicators of Skills for Employment (WISE) provide a comprehensive system of information relating to skills development. WISE presents countries with data upon which they can design skills policies and programs and monitor their impact on key outcomes, including responsiveness to current and emerging patterns of labour market demand, employability, productivity, health status, gender equity and lifelong learning.The database covers the period from 1990 to the present and consists of five inter-related domains of indicators:Contextual factors drive both the supply of and demand for skills.Skill acquisition covers investments in skills, the stock of human capital and its distribution.Skill requirements measure the demand for skills arising in the labour market.The degree of matching captures how well skills obtained through education and training correspond to the skills required in the labour market.Outcomes reflect the impact of skills on economic performance and employment and social outcomes.
    • dezembro 2018
      Fonte: World Integrated Trade Solution
      Carregamento por: Knoema
      Acesso em 21 janeiro, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Integrated Trade Solution Trade Stats Publication: https://datacatalog.worldbank.org/dataset/world-integrated-trade-solution-trade-stats License: http://creativecommons.org/licenses/by/4.0/   WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.  
    • junho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. This Report further focuses on:Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications.Ranking of the largest transnational corporations in the world.In-depth analysis of a selected topic related to FDI.Policy analysis and recommendations.Statistical annex with data on FDI flows and stocks for 196 economies.
    • junho 2019
      Fonte: Ethnologue
      Carregamento por: Sandeep Reddy
      Acesso em 21 junho, 2019
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      Data Cited at: http://www.ethnologue.com/statistics   The World Languages section of this site provides country summaries and language-by-language information. This section steps above that detail to offer a summary view of the world language situation. Specifically, it offers numerical tabulations of languages and number of speakers by world area, by language size, by language status, by language family, and by country.    
    • outubro 2013
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 24 novembro, 2014
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Report On Disability Publication: https://datacatalog.worldbank.org/dataset/world-report-disability License: http://creativecommons.org/licenses/by/4.0/   This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country
    • setembro 2017
      Fonte: World Tourism Organization
      Carregamento por: Knoema
      Acesso em 31 outubro, 2017
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      World Tourism Organization Database
    • setembro 2017
      Fonte: World Tourism Organization
      Carregamento por: Knoema
      Acesso em 16 novembro, 2017
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      World Tourism Organization, Country Specified Database, 2016
    • maio 2018
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 26 junho, 2018
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      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.
    • agosto 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 07 outubro, 2019
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      The Worldwide Governance Indicators (WGI) project reports aggregate and individual governance indicators for over 200 countries and territories over the period 1996–2018, for six dimensions of governance:Voice and AccountabilityPolitical Stability and Absence of ViolenceGovernment EffectivenessRegulatory QualityRule of LawControl of Corruption The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. These data are gathered from a number of survey institutes, think tanks, non-governmental organizations, international organizations, and private sector firms. The WGI do not reflect the official views of the World Bank, its Executive Directors, or the countries they represent. The WGI are not used by the World Bank Group to allocate resources. Measure description: Estimate:-Estimate of governance (ranges from approximately -2.5 (weak) to 2.5 (strong) governance performance) Standard error (StdErr):-Standard error reflects variability around the point estimate of governance. Number of sources (NumSrc):-Number of data sources on which estimate is based Rank:-Percentile rank among all countries (ranges from 0 (lowest) to 100 (highest) rank) Lower:-Lower bound of 90% confidence interval for governance, in percentile rank terms Upper:-Upper bound of 90% confidence interval for governance, in percentile rank terms
  • Y
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of youth, which should be those persons between the ages of 15 and 24 years. In practice however, some countries applies different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of male youth, which should be males between the ages of 15 and 24 years, inclusive. In practice, however, some countries apply different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of female youth, which should be females between the ages of 15 and 24 years. In practice however, some countries applies different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. The unemployment rate expresses the number of unemployed as a percent of the labour force. This indicator refers to the young population only, which comprises persons of ages 15 to 24 inclusive, unless otherwise stated.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. The unemployment rate expresses the number of unemployed as a percent of the labour force. This indicator refers to the young male population only, which comprises men of ages 15 to 24 inclusive, unless otherwise stated.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The unemployed comprise all persons of working age who are without work, available for work, and looking for work, unless otherwise stated. The unemployment rate expresses the number of unemployed as a percent of the labour force. This indicator refers to the young female population only, which comprises women of ages 15 to 24 inclusive, unless otherwise stated.
  • К
    • fevereiro 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 13 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Отражается общий объем экспорта рыбы, рыбопродуктов и морепродуктов в том числе проданных(купленных) за пределами таможенной границы(в нейтральных водах, территориальных водах иностранных государств и иностранных портах. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
    • julho 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 13 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Отражается количество экспортируемых рыбы, рыбопродуктов и морепродуктов, выловленных (добытых) в пределах внутренних морских вод РФ, территориального моря РФ, континентального шельфа РФ, исключительной экономической зоны РФ не подлежащих доставке для оформления на таможенную территорию РФ. Комментарий: По техническим причинам данные по показателю за 2018 год не загружены в ЕМИСС. Информация размещена на официальном сайте Росстата (gks.ru) по адресу: /Официальная статистика/Внешняя торговля/Оперативная информация/Сведения об экспорте рыбы, рыбопродуктов и морепродуктов вне зоны действия таможенного контроля Российской Федерации за 2018 г. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
  • Н
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: общий объем  инвестиций, накопленных  с начала вложения  за рубежом, с учетом погашения (выбытия), а также переоценки и прочих изменений активов и обязательств Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: общий объем прочих  инвестиций, накопленных  с начала вложения  за рубежом, с учетом погашения (выбытия), а также переоценки и прочих изменений активов и обязательств Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: общий объем прочих  иностранных инвестиций, накопленных в России  с начала их вложения, а также переоценки и прочих изменений активов и обязательств Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Общий объем вложения капитала российскими инвесторами, а также российскими филиалами  иностранных юридических лиц в объекты предпринимательской деятельности, расположенные за пределами России в целях получения дохода Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Общий объем направленных из России за рубеж прочих инвестиций - инвестиций, не подпадающих под определение прямых или портфельных (торговые кредиты, прочие кредиты и прочие активы и обязательства) Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
  • П
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Общий объем вложения капитала иностранными  инвесторами, а также зарубежными  филиалами  российских  юридических лиц в объекты предпринимательской деятельности на территории России в целях получения дохода   Ведомство (субъект статистического учета): Федеральная служба государственной статистики   Размещение: Иностранные инвестиции   Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж  
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Общий объем поступивших в Россию из-за рубежа прочих инвестиций - инвестиций, не подпадающих под определение прямых или портфельных (торговые кредиты, прочие кредиты и прочие активы и обязательства) Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 30 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Общий объем поступивших в  Россию из-за рубежа прямых  инвестиций, т.е. инвестиций, сделанных прямыми  инвесторами, т. е. юридическими и физическими лицами, полностью владеющими организацией или контролирующими не менее 10% акций или уставного (складочного) капитала организации, что дает право на участие в управлении организацией. К ним относятся взносы в капитал, фактически внесенные зарубежными  совладельцами российской организации, реинвестирование, предоставленные прямыми инвесторами кредиты, финансовая аренда (лизинг), прочие операции между прямым инвестором и организацией. Комментарий: Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж № 1-ИНВЕСТ Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Иностранные инвестиции Источники и способ формирования показателя: * Сведения об инвестициях в Россию из-за рубежа и инвестициях из России за рубеж
    • março 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 15 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Указываются суммы всех выплат по действующим соглашениям в отчетном году. Выплаты денежных средств для целей статистического наблюдения признаются в том отчетном периоде, в котором они имели место независимо от фактического поступления денежных средств (метод начисления). Датой поступления (выплаты) денежных средств считается дата осуществления расчетов в соответствии с условиями заключенных договоров, контрактов. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: Расчет
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 15 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Указываются суммы всех поступлений  по действующим соглашениям в отчетном году. Поступления денежных средств для целей   статистического наблюдения признаются в том отчетном периоде, в котором они имели место независимо от фактического поступления денежных средств (метод начисления). Датой поступления (выплаты) денежных средств считается дата осуществления расчетов в соответствии с условиями заключенных договоров, контрактов. Комментарий: № 1-лицензия Информацию с 2017 г. см. по показателю «Поступления (выплаты) по экспорту технологий по соглашениям с зарубежными странами с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)
  • С
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 15 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Проставляется общая стоимость объекта соглашения по импорту, приведенная в договоре (контракте).Информация публикуется в статистических сборниках, мониторинге угроз национальной безопасности РФ; используется в информационно-справочных материалах. Проставляется общая стоимость объекта соглашения по импорту, приведенная в договоре (контракте).   Комментарий: № 1-лицензия Информацию с 2017 г. см. по показателю «Стоимость предмета соглашений по импорту технологий с зарубежными странами с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 15 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Число соглашений, входящих в пакет соглашений по экспорту технологий и услуг технического характера.Информация публикуется в статистических сборниках, мониторинге угроз национальной безопасности РФ; используется в информационно-справочных материалах. Проставляется общая стоимость объекта соглашения по экспорту, приведенная в договоре (контракте). Комментарий: № 1-лицензия Информацию с 2017 г. см. по показателю «Стоимость предмета соглашений по экспорту технологий с зарубежными странам с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)
    • agosto 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 13 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Отражается количество экспортируемых рыбы, рыбопродуктов и морепродуктов, выловленных (добытых) в пределах внутренних морских вод РФ, территориального моря РФ, континентального шельфа РФ, исключительной экономической зоны РФ не подлежащих доставке для оформления на таможенную территорию РФ Комментарий: По техническим причинам данные по показателю за 2018 год не загружены в ЕМИСС. Информация размещена на официальном сайте Росстата (gks.ru) по адресу: /Официальная статистика/Внешняя торговля/Оперативная информация/Сведения об экспорте рыбы, рыбопродуктов и морепродуктов вне зоны действия таможенного контроля Российской Федерации за 2018 г. Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Экспорт рыбы, рыбопродуктов и морепродуктов Источники и способ формирования показателя: * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов * Сведения об экспорте рыбы, рыбопродуктов и морепродуктов
  • Ч
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 15 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Число соглашений, входящих в пакет соглашений по импорту технологий и услуг технического характера Комментарий: Информацию с 2017 г. см. по показателю «Число соглашений по экспорту с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)
    • abril 2018
      Fonte: Federal State Statistics Service, Russia
      Carregamento por: Knoema
      Acesso em 15 dezembro, 2018
      Selecionar Conjunto de dados
      Методологические пояснения: Число соглашений, входящих в пакет соглашений по эксорту технологий и услуг технического характера Комментарий:  № 1-лицензия Информацию с 2017 г. см. по показателю «Число соглашений по экспорту с 2017 г.» Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Коммерческий обмен технологиями с зарубежными странами (партнерами) Источники и способ формирования показателя: * Сведения о коммерческом обмене технологиями с зарубежными странами (партнерами)

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