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中国

  • 大統領:Xi Jinping
  • 首相:Li Keqiang
  • 首都:Beijing
  • 言語:Standard Chinese or Mandarin (official; Putonghua, based on the Beijing dialect), Yue (Cantonese), Wu (Shanghainese), Minbei (Fuzhou), Minnan (Hokkien-Taiwanese), Xiang, Gan, Hakka dialects, minority languages (see Ethnic groups entry) note: Zhuang is official in Guangxi Zhuang, Yue is official in Guangdong, Mongolian is official in Nei Mongol, Uighur is official in Xinjiang Uygur, Kyrgyz is official in Xinjiang Uygur, and Tibetan is official in Xizang (Tibet)
  • 政府
  • 統計局
  • 人口、人:1,386,395,000 (2017)
  • 面積、平方キロメートル:9,388,211 (2017)
  • 1人当たりGDP、US $:8,827 (2017)
  • GDP、現在の10億米ドル:12,237.7 (2017)
  • GINI指数:42.2 (2012)
  • ビジネスのしやすさランク:78 (2017)
すべてのデータセット:  1 2 3 9 A B C D E F G H I J K L M N O P Q R S T U V W Y
  • 1
    • 5月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2018
      データセットを選択
      It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts. For general government sector, property income, other current transfers and capital transfers are consolidated..
  • 2
    • 6月 2016
      ソース: Deloitte
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2016
      データセットを選択
      With the release of the 2016 Global Manufacturing Competitiveness Index (GMCI), Deloitte Touche Tohmatsu Limited (Deloitte Global) and the Council on Competitiveness (the Council) in the US build upon the GMCI research, with prior studies published in 2010 and 2013. The results of the 2016 study clearly show the ongoing influence manufacturing has on driving global economies. From its influence on infrastructure development, job creation, and contribution to gross domestic product (GDP) on both an overall and per capita basis, a strong manufacturing sector creates a clear path toward economic prosperity.
  • 3
  • 9
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2018
      データセットを選択
      It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts. For general government sector, property income, other current transfers and capital transfers are consolidated.. It has been prepared from statistics reported to the OECD by Member countries in their answers to the new version of the annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
  • A
    • 9月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 12月, 2017
      データセットを選択
      Chapter C includes indicators that are a mixture of outcome indicators, policy levers and context indicators. Internationalisation of education and progression rates are, for instance, outcome measures to the extent that they indicate the results of policies and practices at the classroom, school and system levels. But they can also provide contexts for establishing policy by identifying areas where policy intervention is necessary, for example, to address issues of inequity.
    • 7月 2016
      ソース: Knoema
      アップロード者: Knoema
      データセットを選択
      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      This indicator aims to capture the share of persons in the labour force protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the labour force that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      This indicator aims to capture the share of persons in the labour force protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the labour force that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • 9月 2014
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      This indicator aims to capture the share of persons of working age protected through a contributory pension scheme (with benefits guaranteed but not currently being received). It provides information about the proportion of the working-age population that will receive an old age pension once reaching pensionable age. This right to income security in old age is guaranteed by the prior payment of premiums or contributions, i.e. before the occurrence of the insured contingency.
    • 8月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Pallavi S
      以下でアクセス: 05 10月, 2018
      データセットを選択
      Activities of U.S. MNEs: Majority-Owned Foreign Affiliates, Selected Indicators, 2016.
    • 2月 2018
      ソース: Ministry of Tourism, Government of India
      アップロード者: Knoema
      以下でアクセス: 10 4月, 2018
      データセットを選択
      This dataset provides data for foreign tourist arrivals distributed by age  group.
    • 7月 2015
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Denis Chernyshev
      以下でアクセス: 03 12月, 2015
      データセットを選択
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 4月 2018
      ソース: Agricultural Market Information System
      アップロード者: Knoema
      以下でアクセス: 29 5月, 2018
      データセットを選択
      Data Source - CBS Notes: Financial Year 2016/17, 2017/18, 2018/19 is taken as 2017, 2018, 2019
    • 4月 2018
      ソース: Agricultural Market Information System
      アップロード者: Knoema
      以下でアクセス: 29 5月, 2018
      データセットを選択
      Data Source - IGS Notes: Financial Year 2016/17, 2017/18, 2018/19 is taken as 2017, 2018, 2019
    • 4月 2018
      ソース: Agricultural Market Information System
      アップロード者: Knoema
      以下でアクセス: 29 5月, 2018
      データセットを選択
      Data Source - PSD Notes: Financial Year 2016/17, 2017/18, 2018/19 is taken as 2017, 2018, 2019
    • 5月 2013
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2015
      データセットを選択
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2018
      データセットを選択
      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 19 12月, 2017
      データセットを選択
      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 08 3月, 2018
      データセットを選択
      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 19 12月, 2017
      データセットを選択
      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • 5月 2013
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2015
      データセットを選択
    • 5月 2013
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2015
      データセットを選択
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2018
      データセットを選択
      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • 4月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 25 5月, 2018
      データセットを選択
      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.
    • 4月 2017
      ソース: Akamai
      アップロード者: Knoema
      以下でアクセス: 07 6月, 2017
      データセットを選択
    • 6月 2013
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2014
      データセットを選択
      This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors. This dataset covers the 34 OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly statistics for each country. House prices differ widely across OECD countries, both with respect to recent changes and to valuation levels. The OECD has identified one main nominal index for each country that covers the prices for the sale of newly-built and existing dwellings. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” refer to the same price indices for all countries apart from Brazil, Canada, China, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap. This research dataset provides extended time series coverage for many countries. The objective is to provide information on the long term trend of house prices and develop indicators which can be used to help track and analyse macroeconomic developments and risks. The extended data supplement the OECD RPPI data with historical data from a variety of sources, including other international organisations, central banks and national statistical offices. The methodological basis on the historical data and the types of geographical areas and dwellings they cover can differ from those used in the OECD RPPI data. The database contains a number of additional series. Real house prices are given by the ratio of seasonally adjusted nominal house prices to the seasonally adjusted consumers’ expenditure deflator in each country, from the OECD national accounts database. This provides information on how nominal house prices have changed over time relative to prices in the general economy. The rental prices come from the OECD Main Economic Indicators database and refer to Consumer Price Indices (CPIs) for Actual rentals for housing (COICOP 04.1). If this indicator is missing for a country, another indicator is chosen. The chosen indicator are usually those corresponding to the CPI aggregate for Housing including Actual rentals for housing (COICOP 04.1), imputed rentals for housing (COICOP 04.2) and Maintenance and repair of the dwelling (COICOP 04.3). The disposable income indicators come from the OECD national accounts database. Net household disposable income is used. The population data come from the OECD national accounts database. The price-to-rent ratio is given by the ratio of nominal house prices to rental prices. This is a measure of the profitability of owning a house. The price-to-income ratio is given by the ratio of nominal house prices to nominal household disposable income per capita. This is a measure of the affordability of purchasing a house. An indication that house prices may be overvalued is provided if either of these ratios is above their long-term averages. The standardised price-rent and price-income ratios show the current price-rent and price-income ratios relative to their respective long-term averages. The long-term average, which is used as a reference value, is calculated over the whole period available when the indicator begins after 1980 or 1980 if the indicator is available over a longer time period. The standardised ratio is indexed to a reference value equal to 100 over the full sample period. Values over 100 indicate that the present price-rent ratio, or price-income ratio, is above its long-run norms. This provides an indication of possible housing market pressures.
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2018
      データセットを選択
      The OECD's ANalytical Business Enterprise Research and Development (ANBERD) database presents annual data on Research and Development (R&D) expenditures by industry and was developed to provide analysts with comprehensive data on business R&D expenditures. The ANBERD database incorporates a number of estimations that build upon and extend national submissions of business enterprise R&D data by industry (main activity/industry orientation). The current version of the ANBERD database presents OECD countries' and selected non-member economies' business expenditure on R&D since 1987, broken down across 100 manufacturing and service industry groups. The reported data follow the International Standard Industrial Classification, Revision 4 (ISIC Rev. 4) and are expressed in national currencies as well as in US dollars at Purchasing Power Parity (PPP), both at current and constant prices.   Main activity and industry orientation: The 2015 Frascati Manual practice is to report BERD on an enterprise basis. The main economic activity of an enterprise is usually defined as that which accounts for most of its economic outputs; this may be identified directly from sales or indirectly proxied (such as by numbers of personnel devoted to different activities). This determines the industry in which the enterprise, and any BERD it carries out, is classified. As such, all BERD of a diversified enterprise (i.e. one with multiple lines of business) is allocated to the same industry, that of its main activity. This enables, as far as possible, the alignment and compatability of BERD data with other economic statistics (e.g. value added broken down by industry). In addition, the Frascati Manual also recommends reporting BERD by industry orientation, whereby the statistical unit’s R&D is distributed across the various lines of business to which it relates. In a few countries, hybrid approaches are followed and reported as main activity data. As an example, some countries primarily follow the main activity approach but redistribute the R&D of large diversified firms across the economic activities to which it relates. This can affect interpretation of the data and resulting statistics. There are also important differences between countries in the treatment of R&D undertaken by firms in the service sector but closely associated (though not necessarily contractually) with manufacturing firms. Industrial research institutes, largely funded by the manufacturing industries they serve, are the most frequent examples. With the implementation of the 2015 Frascati Manual, such hybrid data will be phased out in favour of a strict main activity approach. Countries still reporting hybrid data are flagged in the ANBERD country notes.
    • 4月 2014
      ソース: United Nations COMTRADE
      アップロード者: Knoema
      以下でアクセス: 16 4月, 2014
      データセットを選択
      Angola trade with selected countries by commodity 04 HS, 2013
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2018
      データセットを選択
      This indicator conveys the annual growth rates of labour productivity. Labour productivity represents the total volume of output (measured in terms of Gross Domestic Product, GDP) produced per unit of labour (measured in terms of the number of employed persons) during a given time reference period. The indicator allows data users to assess GDP-to-labour input levels and growth rates over time, thus providing general information about the efficiency and quality of human capital in the production process for a given economic and social context, including other complementary inputs and innovations used in production. For further information, see the SDG Indicators Metadata Repository or ILOSTAT’s indicator description.
    • 6月 2017
      ソース: International Tropical Timber Organization
      アップロード者: Pallavi S
      以下でアクセス: 24 7月, 2017
      データセットを選択
      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries.
    • 6月 1999
      ソース: National Oceanic and Atmospheric Administration
      アップロード者: Knoema
      データセットを選択
      Annual Temperature Anomaly timeseries for China, India, and the United States.
    • 10月 2010
      ソース: Japan Apparel Technology and Research Association
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2016
      データセットを選択
      The Japan Apparel Industrial Association
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 19 2月, 2018
      データセットを選択
      Data source used: The aquaculture production data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies. Data on marine landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • 1月 2014
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2015
      データセットを選択
      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.
    • 2月 2017
      ソース: ASEAN +3 Macroeconomic Research Office
      アップロード者: Knoema
      以下でアクセス: 26 7月, 2017
      データセットを選択
    • 9月 2018
      ソース: Asian Development Bank
      アップロード者: Knoema
      以下でアクセス: 17 9月, 2018
      データセットを選択
      1. Emerging East Asian bond yields continued to fall amid a weak global economy and while the outlook for the region’s bond markets is generally benign, a number of risks are emerging, including US Federal Reserve rate hike, broad-based global economic slowed. 2. During survey respondents were asked to rate each initiative as either “very important (4),” “important (3),” “somewhat important (2),” “not important at all (1),” or “don’t know” (0). The results were then quantified based on a scoring system ranging from 4 (“very important”) to 0 (“don’t know”).  
    • 3月 2017
      ソース: Transparency International
      アップロード者: Knoema
      以下でアクセス: 26 2月, 2018
      データセットを選択
      Data cited at GLOBAL CORRUPTION BAROMETER 2015/16/17by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/research/gcb/gcb_2015_16/0 In the most extensive survey of its kind, we spoke to 21,861 people in 16 countries, regions and territories across the Asia Pacific region between July 2015 and January 2017 about their perceptions and experiences of corruption. The survey results show a great diversity in the corruption risks across the region, but in every country surveyed there is scope for improved approaches to corruption prevention.
    • 10月 2014
      ソース: Actionable Governance Indicators Data Portal
      アップロード者: Knoema
      以下でアクセス: 13 10月, 2015
      データセットを選択
    • 12月 2017
      ソース: The General Aviation Manufacturers Association (GAMA)
      アップロード者: Knoema
      以下でアクセス: 25 5月, 2018
      データセットを選択
      The data does not differentiate if airplane is used for GA or commercial operations. In 2006, the CAA stopped publishing the number of registered aircraft by weight in favor of classes.In 2012, the CAA began publishing aircraft registry statistics by aircraft class.
    • 3月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2015
      データセットを選択
      ASTI collects primary time-series data on agricultural research capacity and spending levels through national survey rounds in over 80 low-and middle-income countries. Data collection is carried out by country focal points, who distribute survey forms to all agencies known to conduct agricultural research in a given country, including government, nonprofit, and higher education agencies. Private-for profit sector coverage is limited, and hence excluded from this dataset. More detailed country- and regional-level data on agricultural research capacity, investment, and outputs are available 
    • 3月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2015
      データセットを選択
    • 2月 2016
      ソース: Auto Care Association
      アップロード者: Knoema
      以下でアクセス: 17 2月, 2016
      データセットを選択
      U.S. Commercial Service Automotive Resource Guide, 2014 - Export.gov - Helping U.S. Companies Export Source: United States Department of Commerce, Bureau of the Census, Foreign Trade Division. TPIS Database: USHS EXPORTS, Revised Statistics for 1989–2012.
    • 10月 2014
      ソース: LMC Automotive
      アップロード者: Knoema
      以下でアクセス: 09 1月, 2015
      データセットを選択
      Automative Industry, 2014
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2017
      データセットを選択
      This dataset presents the average number of students in a class by type of institution.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 22 6月, 2018
      データセットを選択
      The average effective age of retirement is calculated as a weighted average of (net) withdrawals from the labour market at different ages over a 5-year period for workers initially aged 40 and over. In order to abstract from compositional effects in the age structure of the population, labour force withdrawals are estimated based on changes in labour force participation rates rather than labour force levels. These changes are calculated for each (synthetic) cohort divided into 5-year age groups. The estimates shown in red are less reliable as they have been derived from interpolations of census data rather than from annual labour force surveys. The estimates for women in Turkey are based on 3-yearly moving averages of participation rates for each 5-year age group. OECD estimates based on the results of national labour force surveys, the European Union Labour Force Survey and, for earlier years in some countries, national censuses.
    • 7月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2018
      データセットを選択
      This table presents data on average monthly earnings converted to a common currency. Data in U.S. dollars are converted from local currency using exchange rates, while data in constant 2011 U.S. dollars are converted using 2011 purchasing power parities (PPPs)
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      The concept of earnings, as applied in wages statistics, relates to gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
  • B
    • 9月 2018
      ソース: Information & eGovernment Authority of Bahrain
      アップロード者: Knoema
      以下でアクセス: 19 9月, 2018
      データセットを選択
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 9月, 2018
      データセットを選択
      The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .
    • 7月 2016
      ソース: Central Bank of Sao Tome and Principe
      アップロード者: Knoema
      以下でアクセス: 03 8月, 2016
      データセットを選択
      Balance of Payments of Sao Tome & Principe, 2013
    • 6月 2015
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2015
      データセットを選択
    • 8月 2015
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2015
      データセットを選択
    • 12月 2012
      ソース: PoachingFacts.com
      アップロード者: Knoema
      以下でアクセス: 16 6月, 2016
      データセットを選択
    • 1月 2018
      ソース: Bertelsmann Stiftung
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2018
      データセットを選択
      The Bertelsmann Stiftung’s Transformation Index (BTI) analyzes and evaluates the quality of democracy, a market economy and political management in 128 developing and transition countries. It measures successes and setbacks on the path toward a democracy based on the rule of law and a market economy flanked by sociopolitical safeguards. Within this framework, the BTI publishes two rankings, the Status Index and the Management Index. Countries are further categorized on the basis of these status index and management rankings/scores. For instance, countries are categorized in to 5 groups – viz; 5 or failed, 4 or very limited, 3 or limited, 2 or advanced, and 1 or highly advanced—based on their status index score of 1 to 10. A country with a high score, 8.5 and above, is categorized as highly advanced. A country with a low score, below 4, is categorized as failed. A country is categorized as ‘very limited’ if it has a status index score between 4 and 5.5. A score between 5.5 and 7 means the country is categorized as ‘limited’ and a country is categorized as ‘advanced’ for a score between 7.1 and 8.5. On the basis of the democratic status ranking, countries are further categorized as 5 or ‘hard - line autocracies,’ 4 or ‘moderate autocracies,’ 3 or ‘highly defective democracies,’ 2 or ‘defective democracies,’ and 1 or ‘democracies in consolidation.’ A country with a democratic status ranking below 4 is categorized as a hard line autocracy. A democratic status score between 4 and 5 means that the country is part of the ‘moderate autocracy’ group. A country is grouped as a ‘highly defective democracy’ for a score between 5 and 6. A country is recognized as a ‘defective democracy’ for a score between 6 and 8, and a score of 8 and above earns a country the status of a ‘democracy in consolidation.’ Countries are also categorized in to 5 groups based on their market economy status ranking. The countries are categorized as ‘rudimentary’ or group 5, ‘poorly functioning’ or group 4, ‘functional flaws’ or group 3, ‘functioning’ or group 2, and ‘developed’ or group 1. A country is recognized as a member of the ‘developed’ group with a market economy status ranking/score of 8 and above. A country is grouped as ‘functioning’ if it has a score between 7 and 8. A market economy status ranking between 5 and 7 means the country is categorized to group 3 or the ‘functional flaws’ group. A score between 3 and 5 means that the country is ‘poorly functioning’ and a score below 3 means the country enjoys a ‘rudimentary’ status. Based on the management index ranking, countries are categorized as 5 or failed, 4 or weak, 3 or moderate, 2 or good, and1 or very good. A country is categorized as ‘very good’ for a score of 7 and above. It is categorized as ‘good’ for a score between 5.6 and 7, and as ‘moderate’ for a score between 4.4 and 5.5. A score between 3 and 4.3 means a country is categorized as ‘weak,’ and a score below 3 means the categorization of a country as ‘failed.’ Countries are ranked between 1 and 10 on the basis of the level of difficulty they face. The level of difficulty is further categorized as 5 or negligible, 4 or minor, 3 or moderate, 2 or substantial, and 1 or massive. A score of 8.5 and above means the categorization of the country’s level of difficulty as ‘massive, and a score below 2.5 means the categorization of the level of difficulty faced by the country as ‘negligible.’ The level of difficulty score of 2.5 to 4.4 means a country faces a ‘minor’ level of difficulty and a score between 4.5 and 6.4 means the level of difficulty faced by a country is ‘moderate.’ A country with a score of 6.5 to 8.4 faces a ‘substantial’ level of difficulty.
    • 1月 2018
      ソース: National Statistics Bureau, Bhutan
      アップロード者: Knoema
      以下でアクセス: 29 1月, 2018
      データセットを選択
    • 4月 2014
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 08 2月, 2016
      データセットを選択
      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.
    • 10月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 02 11月, 2017
      データセットを選択
      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
    • 6月 2018
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 07 6月, 2018
      データセットを選択
      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".  
    • 6月 2018
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2018
      データセットを選択
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors
    • 9月 2018
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 30 9月, 2018
      データセットを選択
    • 8月 2018
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 04 9月, 2018
      データセットを選択
      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.
    • 6月 2018
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 11 6月, 2018
      データセットを選択
      >>All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >>All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.
    • 5月 2018
      ソース: Bank for International Settlements
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2018
      データセットを選択
    • 4月 2017
      ソース: Bloom Consulting
      アップロード者: Knoema
      以下でアクセス: 24 5月, 2017
      データセットを選択
      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • 2月 2018
      ソース: BP
      アップロード者: Knoema
      以下でアクセス: 14 3月, 2018
      データセットを選択
      The Energy Outlook explores the forces shaping the global energy transition out to 2040 and the key uncertainties surrounding that transition. The Outlook considers a number of different scenarios. These scenarios are not predictions of what is likely to happen or what BP would like to happen. Rather, they explore the possible implications of different judgements and assumptions by considering a series of “what if” experiments. The scenarios consider only a tiny sub-set of the uncertainty surrounding energy markets out to 2040; they do not provide a comprehensive description of all possible future outcomes. For ease of explanation, much of the Outlook is described with reference to the ‘Evolving Transition’ scenario. But that does not imply that the probability of this scenario is higher than the others. Indeed, the multitude of uncertainties means the probability of any one of these scenarios materializing exactly as described is negligible. The Energy Outlook is produced to aid BP’s analysis and decision-making, and is published as a contribution to the wider debate. But the Outlook is only one source among many when considering the future of global energy markets. BP considers the scenarios in the Outlook, together with a range of other analysis and information, when forming its long-term strategy.
    • 6月 2018
      ソース: BP
      アップロード者: Knoema
      以下でアクセス: 18 6月, 2018
      データセットを選択
      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • 9月 2018
      ソース: Instituto Aço Brasil
      アップロード者: Knoema
      以下でアクセス: 12 9月, 2018
      データセットを選択
      Brazil Steel Production
    • 6月 2018
      ソース: Times Higher Education
      アップロード者: Knoema
      以下でアクセス: 11 6月, 2018
      データセットを選択
      The Times Higher Education Emerging Economies University Rankings 2018 includes only institutions in countries classified by the FTSE as “advanced emerging”, “secondary emerging” or “frontier”. its fifth year, the 2018 ranking parts with the ‘BRICS’ acronym in the title to recognise the strength and potential of a diverse range of emerging economies. The rankings use the same 13 performance indicators as the THE World University Rankings to judge institutions on their teaching, research, knowledge transfer and international outlook. But they are recalibrated to reflect the development priorities of universities in emerging economies. The performance indicators are grouped into five areas: 1. Teaching (the learning environment) 2. Research (volume, income and reputation) 3. Citations (research influence) 4. International outlook (staff, students and research) 5. Industry income (knowledge transfer) Note: The ranking of institutions, after 200, have been given in range like 201-250 and 251-300. The rank has been taken as 201, 202, 203……..250 as the same order as they appear in the source.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 8月, 2018
      データセットを選択
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2017
      データセットを選択
    • 4月 2015
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 21 8月, 2015
      データセットを選択
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in this view of “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria)). The two tables that follow, “BERD by industry and source of funds” and “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 09 6月, 2017
      データセットを選択
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by source of funds (business enterprise, government, other national funds, and funds from abroad). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and source of funds” and the one that follows, “BERD by industry and type of costs” present data for only one of the criteria, depending on the country.
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 12 6月, 2017
      データセットを選択
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2000 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. and by type of costs (current expenditure, capital expenditure). Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification. This breakdown between industries is, in principle, made at the enterprise level, although some countries are able to break down R&D data for multi product enterprises between their main lines of business. National statistical regulations prevent publication of results where there are very few firms in the given category, hence the many gaps in the tables. Depending on the country, R&D institutes serving enterprises are either classified with the industry concerned, or grouped under “Research and Development” (ISIC rev.3.1, Division 73). When these R&D institutes are classified with the industry served, the evaluation of R&D in these industries is more complete and more comparable between countries for the industries concerned. This results, however, in an underestimation of the percentage of BERD performed by the service sector as compared with other countries. The Frascati Manual recommendation concerning data on R&D by industry is to report BERD on an enterprise basis (see FM section 3.4). When this is interpreted strictly, all the BERD of a diversified enterprise will be allocated to the industrial class of its principal activity. In circumstances where a few large firms dominate R&D spending in several areas, this can and does lead to underestimates of R&D associated with the secondary activities of the firms. Overall, R&D is therefore overestimated for some industries and underestimated for others. However, not all countries follow a strict enterprise basis for allocating R&D expenditures to industrial classes. Some countries make a disaggregation of the R&D of their largest, diversified firms into a number of different activities. In other countries, the enterprise approach has been abandoned and data are reported on a product field basis. This is why two classification criteria for BERD by industry are included in the table “BERD by industry” (see the variable CLASSIFICATION CRITERIA: Main activity or Product field) depending on which approach is more closely followed by each country (only a few countries currently collect these data both ways and are therefore included according to both criteria). However, this table “BERD by industry and type of costs” and the preceding one “BERD by industry and source of funds” present data for only one of the criteria, depending on the country.
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 21 6月, 2017
      データセットを選択
      This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 3.1. Data at the industry level are presented beginning 1987, year when most of the countries converted from ISIC rev.2 to the current ISIC rev. 3 classification.
    • 8月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2018
      データセットを選択
      The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations. Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators. The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers. Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.  
    • 2月 2012
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      データセットを選択
      Внешняя торговля товарами Российской Федерации по странам партнерам, 1995-2011
  • C
    • 10月 2017
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2018
      データセットを選択
      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.
    • 9月 2018
      ソース: Government of Canada
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2018
      データセットを選択
      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • 10月 2017
      ソース: National Energy Board, Government of Canada
      アップロード者: Knoema
      以下でアクセス: 28 12月, 2017
      データセットを選択
      • The National Energy Board’s Energy Futures series explores how possible energy futures might unfold for Canadians over the long term. This analysis is not a prediction of what will take place, nor does it aim to show how certain goals like Canada’s climate targets will be achieved. Rather, Energy Futures employs economic and energy models to make projections based on a certain set of assumptions given what we know today about technology, energy and climate policies, human behaviour and the structure of the economy. • This report, Canada’s Energy Future 2017: Energy Supply and Demand Projections to 2040 (EF2017), is the latest edition of this series. • EF2017 considers three cases: o The Reference Case is based on a current economic outlook, a moderate view of energy prices, and climate and energy policies announced at the time of analysis. o The Higher Carbon Price (HCP) Case considers the impact on the Canadian energy system of higher carbon pricing than in the Reference Case. o The Technology Case considers the impact on the Canadian energy system of greater adoption of select emerging energy production and consumption technologies. • In developing this report the NEB engaged various energy experts and stakeholders to gather input and feedback on the assumptions and preliminary projections. The NEB would like to thank all participants for their contributions to EF2017. • Over the projection period, it is likely that developments beyond the realm of normal expectations, such as geopolitical events or technological breakthroughs, will occur. Likewise, new information will become available and trends, policies, and technologies will evolve. In particular, EF 2017 makes several simplifying assumptions on future carbon pricing in Canada. The actual implementation of the pan-Canadian approach to carbon pricing could lead to different impacts on Canada’s energy system than shown here. This report should not be taken as an official or definitive impact analysis of this initiative. Readers of this analysis should consider the projections a baseline for discussing Canada’s energy future today, not a prediction of what will take place in the future.
    • 9月 2018
      ソース: Statistics Canada
      アップロード者: Knoema
      以下でアクセス: 07 9月, 2018
      データセットを選択
      For the location "Puerto Rico" data is available from 1990.
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2018
      データセットを選択
      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • 3月 2018
      ソース: International Organization of Motor Vehicle Manufacturers
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2018
      データセットを選択
      OICA Car Production Statistics 1999-2017 contains world motor vehicle production statistics, obtained from national trade organisations, OICA members or correspondents. Passenger cars are motor vehicles with at least four wheels, used for the transport of passengers, and comprising no more than eight seats in addition to the driver's seat. Commercial vehicles include light commercial vehicles, heavy trucks, coaches and buses.
    • 5月 2018
      ソース: China Association of Automobile Manufacturers
      アップロード者: Shakthi Krishnan
      以下でアクセス: 13 9月, 2018
      データセットを選択
      World: Car Sales by Country 2017
    • 10月 2015
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2018
      データセットを選択
      Indicators in the OECD database on Carbon dioxide (CO2) emissions embodied in international trade are derived by combining the 2015 version of OECD's Inter-Country Input-Output (ICIO) Database with International Energy Agency (IEA) statistics on CO2 emissions from fuel combustion. Production-based CO2 emissions are estimated by allocating the IEA CO2 emissions to the 34 target industries in OECD ICIO and, to final demand for fuels, by both residents and non-residents. Consumption-based CO2 emissions are calculated by multiplying the intensities of the production-based emissions (c) with the global Leontief inverse (I-A)(-1) and global final demand matrix (Y) from OECD ICIO, taking the column sums of the resulting matrix and adding residential and private road emissions (FNLC), i.e. direct emissions from final demand: colsum [ diag(c) (I-A)(-1) Y ] + FNLC. The ICIO system includes discrepancies in the trade data (referred to as DISC). Emissions allocated to DISC are made explicit (e.g. in indicator FD_CO2). This ensures that global CO2 production equals global CO2 consumption.
    • 1月 2008
      ソース: Carbon Dioxide Information Analysis Center
      アップロード者: Knoema
      データセットを選択
      In summary, this database provides estimates of regional and global net carbon fluxes, on a year-by-year basis from 1850 through 2005, resulting from changes in land use (such as harvesting of forest products and clearing for agriculture), taking into account not only the initial removal and oxidation of the carbon in the vegetation, but also subsequent regrowth and changes in soil carbon. The net flux of carbon to the atmosphere from changes in land use from 1850 to 2005 was modeled as a function of documented land-use change and changes in aboveground and belowground carbon following changes in land use.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      A case of occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident. An occupational injury that is fatal is the result of an occupational accident where death occurred within one year from the day of the accident.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      A case of non-fatal occupational injury is the case of a worker incurring an occupational injury as a result of an occupational accident not leading to death. The non-fatal occupational injury entails a loss of working time.
    • 11月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2015
      データセットを選択
      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • 11月 2015
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 9月, 2016
      データセットを選択
      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • 12月 2013
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 1月, 2014
      データセットを選択
      Eurostat Dataset Id:fish_ca_00 Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings). The concepts and definitions used in the compilation of catch statistics are those laid down by the Coordinating Working Party on Fishery Statistics (CWP), of which Eurostat is one of the member organizations. These concepts and definitions have been in force since the late 1950's and are applied uniformly worldwide by the CWP and by the national authorities reporting to its member organizations. Therefore, though the quality of the data varies from country to country (being in many cases a function of the general characteristics of the national fishing industry), there is a high degree of comparability between countries and over time.  Nominal catch  The data refer to the catch of freshwater, brackish water and marine species of fish, crustaceans, molluscs and other aquatic animals and plants, killed, caught, trapped or collected for all commercial, industrial, recreational and subsistence purposes. In view of the importance of recreational fishing regarding some stocks and for certain countries, as well as the difficulty of distinguishing between recreational and subsistence fishing, the data should include the catches from recreational fisheries as well. However, it is recognised that certain countries are unable to supply the data for recreational fisheries. The catches are expressed in the live weight equivalent of the landings. As such they exclude all quantities caught but not landed (for example: discarded fish, fish consumed on board). The unit used is generally the metric ton. Data for marine mammals (e.g. whales) and certain other animals (e.g. crocodiles) are expressed in the number caught. The nominal catch data are normally derived from the landed quantities of the fishery products. For this purpose, the landed weight is converted to the live weight equivalent (nominal catch) by the application of factors. Species: All species for which catches are reported to international organizations are included in the Eurostat's database. They are identified by the internationally assigned three letter identifier (e.g. COD = Atlantic cod, PLE = European plaice) according to the FAO ASFIS (Aquatic Sciences and Fishery Information System) list of Species for Fishery Statistics Purposes. Fishing areas/regions: The catches are sub-divided by the area in which they occur. The methodologies vary from country to country depending on the nature of their fishing industries. Basic documentation used in collecting the data from EU fisheries are fishing log-books, landings declarations and sales notes used in the management of catch quota and market management systems within the Common Fisheries Policy. The methodologies used by EEA member countries have been described in the Eurostat publication "Fisheries: The collection and compilation of fish catch and landing statistics in member countries of the European Economic Area". Those used by the New Member States are described in a working document "Fisheries: The collection and compilation of fishery statistics in European Union Candidate Countries"
    • 9月 2015
      ソース: ScienceDirect
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2017
      データセットを選択
      China : Natural Gas Price
    • 12月 2017
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
    • 6月 2017
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2018
      データセットを選択
    • 6月 2017
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 18 5月, 2018
      データセットを選択
    • 7月 2018
      ソース: China Internet Network Information Center
      アップロード者: Knoema
      以下でアクセス: 20 8月, 2018
      データセットを選択
      China: Internet Penetration Statistics by Province Note :- From 1997 to 2014 Data cited at China Power Project - https://chinapower.csis.org/data/internet-penetration-statistics-province/   From 2015 to 2017 collected from https://cnnic.com.cn/IDR/ReportDownloads/ for Province China from 2007 to 2017 data collected from https://cnnic.com.cn/IDR/ReportDownloads/   Up to December 2017, China had 772 million Internet users, up 40.74 million over the previous year. The Internet penetration reached 55.8%, up 2.6 percentage points from the end of 2016 The scale of China’s Internet users continued to grow steadily. We have kept making innovations in the Internet model, sped up the integration of online and offline services, and made more public services accessible online. All these efforts have served as a spur to the increasingly growing number of China’s netizens. In 2017, General Secretary Xi Jinping repeatedly mentioned the Internet in the 19th CPC National Congress report. The importance of the Internet in the socioeconomic development has become more prominent. China has moved forward with the national strategy for cyber development. Over the past year, China's Internet industry has accelerated integration with other industries. The strategy of “Made in China 2025” has been implemented in all directions, the industrial Internet has been vigorously promoted, and the “Internet plus” has kept promoting the upgrading of traditional industries. The Internet, big data, artificial intelligence and real economy has moved from the initial integration to deep integration, and the transformation and upgrading has been brought about at a higher speed. Digital economy has become a new engine for economic development. Internet and digitization have transformed the traditional economy into the Internet economy. The spread of IT services, the vigorous development of the Internet-driven poverty alleviation and the improvement of public service have allowed the people to share the results of Internet development.
    • 12月 2017
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
    • 9月 2017
      ソース: PK Thinker
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2018
      データセットを選択
      China: Power Plants, Electricity and Coal Production
    • 9月 2018
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 03 10月, 2018
      データセットを選択
      China Regional Dataset: This dataset contains socio-economic indicators for china and its regions.
    • 7月 2018
      ソース: China Internet Network Information Center
      アップロード者: Knoema
      以下でアクセス: 20 8月, 2018
      データセットを選択
      Automatic online search is used to conduct technical statistics about the quantity of domain names and websites, and their geographical distribution. Statistical data for reporting mainly includes the number of IP addresses and international Internet gateway bandwidth. The data of IP addresses counted by provinces come from the IP address databases of AsiaPacific Network Information Center (APNIC) and CNNIC. Registered data in each database, that can clearly distinguish the provinces which the addresses belong to, can be added respectively by province to generate data of each province. As address allocation is a dynamic process, the statistical data are only for reference. The Ministry of Industry and Information Technology, as the national competent department for IP addresses, also require IP address allocation organizations to report the quantity of IP addresses they own biannually. To ensure the accuracy of IP data, CNNIC will compare and verify APNIC statistical data and the reported data to confirm the final quantity of IP addresses.
    • 12月 2017
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
    • 3月 2018
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 09 3月, 2018
      データセットを選択
    • 1月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2016
      データセットを選択
    • 12月 2012
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2016
      データセットを選択
    • 7月 2018
      ソース: End Coal
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2018
      データセットを選択
      Coal Power Plants Statistics
    • 2月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The collective bargaining coverage rate conveys the number of employees whose pay and/or conditions of employment are determined by one or more collective agreement(s) as a percentage of the total number of employees. Collective bargaining coverage includes, to the extent possible, workers covered by collective agreements in virtue of their extension. Collective bargaining coverage rates are adjusted for the possibility that some workers do not have the right to bargain collectively over wages (e.g. workers in the public services who have their wages determined by state regulation or other methods involving consultation), unless otherwise stated in the notes. The statistics presented in this table result from an ILO data compilation effort (including an annual questionnaire and numerous special enquiries), with contributions from J. Visser.
    • 3月 2016
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2016
      データセットを選択
    • 6月 2012
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 11 9月, 2014
      データセットを選択
      The OECD Science, Technology and Industry Outlook 2012 presents, in a series of country profiles, the main features, strengths and weaknesses of national STI systems and major recent changes in national STI policy. The statistical dimension of the country profiles has drawn on the work and empirical research conducted by the OECD on the measurement of innovation and the development of internationally comparable STI indicators for policy analysis.   
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2018
      データセットを選択
      Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.
    • 12月 2016
      ソース: Concordia
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2017
      データセットを選択
      THE CONCORDIA PARTNERSHIP Index (the Index) was developed as a tool for public, private, and nonprofit organizations to identify opportunities to form strategic partnerships and pool resources for the implementation of innovative ideas. The Index ranks countries based on their readiness and need to engage in public-private partnerships (P3s). The inclu- sion of the need indicators sets the Index apart from other indices that measure P3 environ- ments. While the success of a P3 depends on a country’s political and market structures, the Index recognizes that for a P3 to be truly impactful it must address a large-scale need.
    • 10月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 11 10月, 2018
      データセットを選択
      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 24 9月, 2018
      データセットを選択
      The 'Consumer Price Indices (CPIs)' contains all data that was previously contained in three different datasets: 'Consumer Prices', 'National Consumer Price Indices (CPIs) by COICOP divisions' and 'Harmonised Indices of Consumer Prices (HICPs) by COICOP divisions'. The 'Consumer Price Indices (CPIs)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and for some non-member countries. The ‘Consumer Price Indices (CPIs)' dataset contains statistics on Consumer Price Indices including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national annual inflation. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases, a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data).
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 6月, 2018
      データセットを選択
      The 'Consumer Prices (MEI)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 35 OECD member countries and for some non-member countries. The 'Consumer Prices (MEI)' dataset itself contains statistics on Consumer Price Indices. The data series presented have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data), and are presented as an index where the year 2010 is the base year.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 2月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 12 4月, 2018
      データセットを選択
      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).
    • 2月 2018
      ソース: Transparency International
      アップロード者: Pallavi S
      以下でアクセス: 27 2月, 2018
      データセットを選択
      Data cited at CORRUPTION PERCEPTIONS INDEX 2017 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/news/feature/corruption_perceptions_index_2017 Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • 2月 2018
      ソース: Numbeo
      アップロード者: Knoema
      以下でアクセス: 28 2月, 2018
      データセットを選択
      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.
    • 11月 2014
      ソース: Central Agency for Public Mobilization and Statistics of Egypt
      アップロード者: Knoema
      以下でアクセス: 10 12月, 2014
      データセットを選択
    • 11月 2012
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 12 12月, 2012
      データセットを選択
      Countries at the Crossroads is an annual analysis of government performance in 70 strategically important countries worldwide that are at a critical crossroads in determining their political future. The in-depth comparative assessments and quantitative ratings – examining government accountability, civil liberties, rule of law, and anticorruption and transparency efforts – are intended to help international policymakers identify areas of progress, as well as to highlight areas of concern that could be addressed in diplomatic efforts and reform assistance.The Crossroads project has generated far-reaching interest since its inception in 2004. Increased attention to the relationship between competent governance and respect for civil and political rights means that scholars and policymakers require sophisticated tools to help place the performance of various governments in perspective. Crossroads helps ground this analysis by providing indispensable quantitative assessment that allows for comparison over time, as well as detailed narrative reports that provide real-world context.A new edition of Crossroads is published each year, with half the set of countries analyzed in odd years and the other half in even years. Crossroads reports are written and evaluated by some of the most prominent independent experts available for each country.
    • 4月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 20 8月, 2015
      データセットを選択
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • 4月 2018
      ソース: The United States President's Emergency Plan for AIDS Relief
      アップロード者: Knoema
      以下でアクセス: 08 8月, 2018
      データセットを選択
      Operating unit-level results for 2016 and prior years represent aggregated totals. For 2015 and 2016, results are available at the subnational level. For 2014 results and prior, the data can only be viewed and explored in aggregate country or regional form. General patterns can be explored for all results, allowing the investigation of trends within and among different operating units. Some variation exists between indicator versions from PEPFAR during 2004-2010, 2011-2014, and 2015-2016. More detail regarding these differences can be found in the indicator reference documents and in reference materials attached to this dashboard.
    • 7月 2018
      ソース: Federal Financial Institutions Examination Council
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2018
      データセットを選択
      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • 7月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 7月, 2016
      データセットを選択
      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • 6月 2018
      ソース: Reputation Institute
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2018
      データセットを選択
      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • 3月 2012
      ソース: Knoema
      アップロード者: Knoema
      データセットを選択
      Country Risk Assessment Database, 2012. Source: Multiple Sources - EuroStat, WB, IMF, OECD, UNCTAD
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 05 6月, 2018
      データセットを選択
      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • 12月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 18 4月, 2016
      データセットを選択
      COFR presents data on fiscal transparency. It provides an overview of fiscal reporting, including whether fiscal data are available for all of the general government, whether the government reports a balance sheet, and whether spending and revenue are reported on a cash or accrual basis. It also derives specific indices of the coverage of public institutions, fiscal flows, and fiscal stocks.
    • 8月 2018
      ソース: Numbeo
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2018
      データセットを選択
      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. Data cited at: https://www.numbeo.com/crime/rankings.jsp?title=2018.
    • 2月 2013
      ソース: RAND Corporation
      アップロード者: Knoema
      以下でアクセス: 18 11月, 2015
      データセットを選択
      This report describes the results of a study of the sources and reliability of the supply of imported materials on which United States manufacturers are dependent. It should be of interest to a broad spectrum of individuals and organizations in the materials and manufacturing sectors as well as government, private sector, and non-profit organizations involved with or concerned about those sectors. This research was sponsored by the National Intelligence Council and conducted within the Intelligence Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelligence Community
    • 4月 2018
      ソース: European Commission
      アップロード者: Knoema
      以下でアクセス: 10 5月, 2018
      データセットを選択
      Monthly and Cumulative Crude Oil Imports in Intra EU, December 2017 Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2018
      データセットを選択
      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.
    • 6月 2018
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Shakthi Krishnan
      以下でアクセス: 18 9月, 2018
      データセットを選択
    • 5月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 28 6月, 2018
      データセットを選択
      This table shows exchange rates for currencies used in over 190 world economies presented in a cross rates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
  • D
    • 3月 2014
      ソース: Center for Systemic Peace
      アップロード者: Knoema
      以下でアクセス: 08 8月, 2014
      データセットを選択
      The following table lists 328 episodes of armed conflict (including 30 ongoing cases) that comprise a comprehensive accounting of all forms of major armed conflicts in the world over the contemporary period: 1946-2013
    • 4月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 03 5月, 2018
      データセットを選択
      Financing Global Health 2016 is the eighth edition of IHME’s annual series on global health spending and health financing. In addition to describing the trends in development assistance for health (DAH), this year’s report features an expanded discussion of domestic spending across low-, middle-, and high-income countries to describe the context in which DAH operates, identify health financing gaps, and support the pursuit of universal health coverage. Also new in Financing Global Health this year are detailed data for the funding of specific program areas within DAH for malaria and more thorough analysis of DAH for health system strengthening. This adds to the existing detailed tracking of DAH by program area for HIV/AIDS, maternal, newborn, and child health, and non-communicable diseases (NCDs). The coverage of domestic health spending builds on data and analyses presented in two papers published this year: “Global Burden of Disease Financing Global Health Collaborator Network. Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries,” and “Global Burden of Disease Financing Global Health Collaborator Network. Future and potential spending on health 2015–2040 by government, prepaid private, out-of-pocket, and donor financing for 184 countries.” Both analyses were published in The Lancet in April 2017. More information about these data and methods are found in the online methods annex.
    • 1月 2018
      ソース: The Fletcher School,Tufts University
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2018
      データセットを選択
      The DEI 2017 is a data-driven holistic evaluation of the progress of the digital economy across 60 countries, combining more than 100 different indicators across four key drivers: Supply Conditions, Demand Conditions, Institutional Environment, and Innovation and Change. The resulting framework captures both the state and rate of digital evolution and identifies implications for investment, innovation, and policy priorities. DEI 2017 also highlights the evolving nature of the risks being created by our continuing reliance on digital technology. Towards this end, the study covers a key question of “digital trust.“ The DEI 2017 incorporates a newly devised analysis of digital trust that takes into account the trustworthiness of the digital environment for each country; the quality of users’ experience; attitudes towards key institutions and organizations; and users’ behavior when they interact with the digital world. This subject is of great interest to all participants in the digital economy, given the concerns about security of essential information, cyber-attacks, and consumers’ apprehensions—about the digital systems and their reliability, the digital companies and their growing dominance, and about the leaders of digital companies. The DEI framework segments the 60 countries into Stand Outs, Stall Outs, Break Outs and Watch Outs. Three countries are notable as standouts even within the Stand Out segment: Singapore, New Zealand, and the UAE. Each has a unique policy-led digital strategy and a narrative that may be considered by other nations as worthy of emulation or adoption. The Nordic countries and Switzerland are at the top of the DEI 2017 rankings. China, once again, tops the list of countries in terms of the pace of change in its digital evolution, or momentum.
    • 5月 2007
      ソース: International Telecommunication Union
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2015
      データセットを選択
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • 7月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 10 8月, 2018
      データセットを選択
      Direct Investment Abroad: Reinvestment of Earnings Without Current Cost Adjustment, United States
    • 7月 2018
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 10 8月, 2018
      データセットを選択
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 8月, 2018
      データセットを選択
      It presents the different transactions and balances to get from the GDP to the net lending/net borrowing. Therefore, it includes, in particular, national disposable income (gross and net), consumption of fixed capital as well as net saving.
    • 9月 2012
      ソース: Americans for Divorce Reform
      アップロード者: Knoema
      データセットを選択
      Divorce Indicators across countries
    • 3月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 20 4月, 2016
      データセットを選択
      1. ccTLDs stands for country code Top Level Domains. 2. gTLDs - stands for generic top-level domains.
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2017
      データセットを選択
      The OECD FSE database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies. It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies. These tables report country programmes data aggregated according to the main categories presented in the FSE Manual. More detailed documentation on country programmes can be found in country-level metadata; more data on country programmes can be found in the full dataset (Excel Format - link provided below). Statistics are organized in pivot tables to make possible cross-country comparisons and to filter disaggregated policy-level data by policy implementation criteria and country.
    • 12月 2008
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Peter Speyer
      データセットを選択
      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
    • 7月 2013
      ソース: Earth Policy Institute
      アップロード者: Knoema
      以下でアクセス: 08 7月, 2013
      データセットを選択
      Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
    • 2月 2015
      ソース: U.S. Geological Survey
      アップロード者: Knoema
      以下でアクセス: 28 4月, 2015
      データセットを選択
    • 4月 2014
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 26 5月, 2016
      データセットを選択
      The East Asia and Pacific Economic Update is the comprehensive, twice-yearly review of the region’s economies prepared by the East Asia and Pacific region of the World Bank. The report provides forward-looking analysis of the region's economic and social well-being, and includes data on key indicators for output, employment, prices, public sector, foreign trade, BOP, external debt and financial markets.
    • 12月 2014
      ソース: National Bureau of Statistics, China
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
    • 10月 2017
      ソース: Fraser Institute
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2017
      データセットを選択
      The economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
    • 5月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 19 6月, 2018
      データセットを選択
      The OECD Economic Outlook analyses the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in major non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available. The database contains annual data (for all variables) and quarterly figures (for a subset of variables). Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as Quarterly National Accounts, Annual National Accounts, Labour Force Statistics and Main Economic Indicators. The cut-off date for information used in the compilation of the projections was the 25 May 2018. Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for the major non-OECD economies. Thus, besides OECD and the OECD euro area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.
    • 5月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 22 5月, 2014
      データセットを選択
      The OECD Long Term Baseline analyzes the major economic trends beyond the OECD short-term projections. For all OECD economies, and the major non-OECD economies, it provides coverage of components of potential growth, fiscal balances and debt accumulation, domestic saving and investment balances, and external balances (through the current account). It also includes interest rates consistent with those projections. The database contains annual data to 2060. Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD statistical publications such as the Annual National Accounts, the International Monetary Fund, the United Nations, and Eurostat.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 26 9月, 2018
      データセットを選択
    • 12月 2012
      ソース: Liberia Institute of Statistics & Geo-Information Services
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2013
      データセットを選択
    • 12月 2017
      ソース: National Institute of Statistics and Census, Ecuador
      アップロード者: Knoema
      以下でアクセス: 02 1月, 2018
      データセットを選択
      Ecuador: Arrival and Departure Statistics
    • 1月 2018
      ソース: Edelman
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
      Edelman Trust Barometer reveals that trust is in crisis around the world. The general population’s trust in all four key institutions — business, government, NGOs, and media — has declined broadly, a phenomenon not reported since Edelman began tracking trust among this segment in 2012. With the fall of trust, the majority of respondents now lack full belief that the overall system is working for them. In this climate, people’s societal and economic concerns, including globalization, the pace of innovation and eroding social values, turn into fears, spurring the rise of populist actions now playing out in several Western-style democracies. To rebuild trust and restore faith in the system, institutions must step outside of their traditional roles and work toward a new, more integrated operating model that puts people — and the addressing of their fears — at the center of everything they do.
    • 12月 2015
      ソース: United Nations Development Programme
      アップロード者: Misha Gusev
      データセットを選択
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 12月, 2017
      データセットを選択
      This indicator presents internationally comparable data regarding the labour force status and the educational attainment level by the National Educational Attainment Categories (NEAC) as reported by the labour force survey (LFS) and published in OECD Education at a Glance 2017. For trend data, the Education at a Glance Database includes data from 1981 to 2016 (or years with available data).
    • 9月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 12 9月, 2018
      データセットを選択
      The present data collection consists of the following indicators:Interest rates : Day-to-day money market interest rates, 3-month interest rates, Euro yields and Long term government bond yields - Maastricht definitionEuro/Ecu exchange rates: Exchange rates against the ECU/euroEffective exchange rates indices : Nominal Effective Exchange Rate, Real Effective Exchange Rate Â
    • 2月 2018
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 11 6月, 2018
      データセットを選択
      EIA's Annual Energy Outlook provides modeled projections of domestic energy markets through 2050, and it includes cases with different assumptions regarding macroeconomic growth, world oil prices, technological progress, and energy policies. Strong domestic production coupled with relatively flat energy demand allow the United States to become a net energy exporter over the projection period in most cases. In the Reference case, natural gas consumption grows the most on an absolute basis, and non-hydroelectric renewables grow the most on a percentage basis.The AEO is developed using the National Energy Modeling System (NEMS), an integrated model that captures interactions of economic changes and energy supply, demand, and prices.Energy market projections are subject to much uncertainty, as many of the events that shape energy markets and future developments in technologies, demographics, and resources cannot be foreseen with certainty.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 07 6月, 2018
      データセットを選択
      These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2012 : OECD COUNTRIES. They comprise the summary of agricultural support estimates for OECD countries.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2018
      データセットを選択
      Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. 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, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      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).
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories, Vol. 4, Ch. 2 and 11(http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total 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 N2O and Gg CO2eq, by crop and N content in residues.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.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 both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total 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 N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.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 direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 2月, 2018
      データセットを選択
      Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total 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 N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2018
      データセットを選択
      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion 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/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2018
      データセットを選択
      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.
    • 2月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. 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) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2018
      データセットを選択
      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.
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 1月, 2018
      データセットを選択
      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).
    • 2月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      Employed migrants refer to the number of persons who changed their country of usual residence and were also employed during a specified brief period. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      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.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2018
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      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).
    • 7月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2018
      データセットを選択
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 economic activity, which 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 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.
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the labour force estimates and projections methodological paper. 
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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 status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      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 status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      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 provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 economic activity, which 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. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 economic activity, which 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.
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the labour force estimates and projections methodological paper. 
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The employed comprise all persons of working age who, during a specified brief period, were in 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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 status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      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 status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 4月, 2018
      データセットを選択
      The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. Concepts Classifications Data are collected by the OECD using the methodologies established by the Coordinating Working Party on Fishery Statistics (CWP) (www.fao.org/fishery/cwp/search/en). This inter-agency body, created in 1960 to develop common procedures and standards for the collation of fisheries statistics, provides technical advice on fishery statistical matters. Its handbook of Fishery Statistical Standards comprises definitions of the various concepts used in fishery statistics, with the exception of Government Financial Transfers which is unique to the OECD. All other statistics are based on the CWP definitions. The OECD, a partner with the CWP, additionally collects information on values for its landings and records the breakdown between the types of landings (i.e. landings in domestic ports, landings in foreign ports) data series which are not collected by the FAO. While a number of countries cover landings in a similar fashion, the same does not hold true for capacity (feet/meters, GRT/engine powers), or for employment for which both Full-time equivalents or numbers of people are used. The OECD therefore does not duplicate FAO statistics but requests complementary information to feed its analytical work.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 6月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the indicator description and the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: Knoema
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2018
      データセットを選択
    • 4月 2012
      ソース: Ministry of Statistics and Programme Implementation (MOSPI), Government of India
      アップロード者: Knoema
      以下でアクセス: 25 12月, 2013
      データセットを選択
      Source: Ministry of Petroleum & Natural Gas. Note: Annual changes and shares of total are calculated using million tonnes per annum figures.
    • 5月 2018
      ソース: Federal Institute for Geosciences and Natural Resources
      アップロード者: Knoema
      以下でアクセス: 16 5月, 2018
      データセットを選択
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 24 8月, 2018
      データセットを選択
      Number of students enrolled in different education programmes by age and sex.
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2017
      データセットを選択
      This dataset presents the number of students enrolled in different education programmes by field and sex.
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2017
      データセットを選択
      This dataset contains the number of students enrolled in different education programmes by type of institution and sex.
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 18 12月, 2017
      データセットを選択
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 26 9月, 2018
      データセットを選択
      Enrolment rate per age is the percentage of students enrolled in each type of institution over the total of students
    • 7月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 11 7月, 2018
      データセットを選択
      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    • 8月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 9月, 2014
      データセットを選択
    • 1月 2018
      ソース: Environmental Performance Index
      アップロード者: Knoema
      以下でアクセス: 02 2月, 2018
      データセットを選択
      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.
    • 1月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2017
      データセットを選択
      The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally-comparable measure of the stringency of environmental policy. Stringency is defined as the degree to which environmental policies put an explicit or implicit price on polluting or environmentally harmful behaviour. The index ranges from 0 (not stringent) to 6 (highest degree of stringency). The index covers 28 OECD and 6 BRIICS countries for the period 1990-2012. The index is based on the degree of stringency of 14 environmental policy instruments, primarily related to climate and air pollution.
    • 7月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2017
      データセットを選択
      EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases. As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived: Growth contribution of natural capital - measures to what extent a country's growth in output is attributable to natural resource use; Growth adjustment for pollution abatement - measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the ‘excess' growth which is generated at the expense of environmental quality.
    • 8月 2011
      ソース: Multiple Sources
      アップロード者: Knoema
      データセットを選択
      A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
    • 1月 2010
      ソース: European Commission
      アップロード者: Knoema
      データセットを選択
      This dataset provides an overview of the most recent and pertinent annual energy related statistics in Europe. The data is drawn from several sources: the European Commission’s services; international organisations, such as the European Environment Agency and the International Energy Agency and, where no data is currently available, from the European Commission’s estimations. The indicator calculations follow the methodology established by the European Commission - DG Energy.
    • 5月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 28 11月, 2015
      データセットを選択
      The Scoreboard has been prepared from companies' annual reports and accounts received by an independent data provider.
    • 9月 2015
      ソース: Multiple Sources
      アップロード者: Knoema
      以下でアクセス: 10 9月, 2015
      データセットを選択
    • 10月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 22 10月, 2015
      データセットを選択
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • 10月 2017
      ソース: InterNations
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2017
      データセットを選択
      Expat Insider is one of the largest surveys worldwide offered an in-depth analysis of expat life across the globe. Survey is done on more than 12,500 respondents representing 166 nationalities and living in 188 countries or territories, respondents provided unique insights into what it means to be an expat in 2017. The ranking of 65 destinations is based on how these countries were rated by their expat residents. For these ratings, the survey considered or looked at more than 40 individual factors that influence an expat’s experience of living in a foreign country, from family life to finances. The picture that emerges is an interesting one, with some of the results differing noticeably from other country rankings.
    • 7月 2012
      ソース: Knoema
      アップロード者: Knoema
      データセットを選択
      Source : United States Department of Agriculture; International Monetary Fund; UN Department of Economic and Social Affairs; Food and Agriculture Organization, The World Bank
    • 10月 2017
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 30 10月, 2017
      データセットを選択
      Percent of household final consumption expenditures spent on food, alcoholic beverages, and tobacco that were consumed at home, 2009-2016. The data are computed by Birgit Meade (202-694-5159), ERS/USDA, EUROMONITOR data, June 2015.
    • 1月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 30 5月, 2018
      データセットを選択
      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with "world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC)
    • 9月 2013
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2013
      データセットを選択
      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
    • 6月 2018
      ソース: CBS StatLine Databank
      アップロード者: Knoema
      以下でアクセス: 08 10月, 2018
      データセットを選択
      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.
    • 9月 2005
      ソース: National Institute of Statistics, Guinea Bissau
      アップロード者: Knoema
      以下でアクセス: 05 6月, 2013
      データセットを選択
      External Trade of Guinea-Bissau, 2006
    • 9月 2018
      ソース: Ministry of Finance, R.O.C. (Taiwan)
      アップロード者: Knoema
      以下でアクセス: 20 9月, 2018
      データセットを選択
  • F
    • 6月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 24 6月, 2016
      データセットを選択
      OECD Factbook provides a global overview of today's major economic, social and environmental indicators which cover a wide range of areas: agriculture, economic production, education, energy, environment, foreign aid, health, industry, information and communications, international trade, labor force, population, taxation, public expenditure and R&D. More countries than ever are covered in greater detail, enabling direct comparisons for many indicators between OECD Members and Brazil, China, India, Indonesia, Russian Federation and South Africa.
    • 8月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 07 8月, 2018
      データセットを選択
      In view of the strong demand for cross-national indicators on the situation of families and children, the OECD Family Database was developed to provide cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. The database brings together information from various national and international databases, both from within the OECD and from external organisations. The database classifies indicators into four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes. Detailed information on the definitions, sources and methods used in the construction of the database can be found on the OECD Family Database webpage.
    • 5月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 31 5月, 2018
      データセットを選択
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • 10月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 24 10月, 2017
      データセットを選択
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the programme 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.
    • 9月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 9月, 2018
      データセットを選択
      The FAOSTAT monthly CPI & Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI.  The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.   Note: For some countries quarterly data is mentioned as monthly data because of quarter (Time period of quarter) differs across countries. Please go to the link: "http://fenixservices.fao.org/faostat/static/documents/CP/CPI_e.pdf" for detail about countries' National index reference period, definition, data details.    
    • 10月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 06 11月, 2017
      データセットを選択
      Note: Data represent values for time periods (1999-2001,2000-02,2005-07) and is shown as data for the last year of time period 2001, 2002,2007
    • 6月 2012
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 18 7月, 2012
      データセットを選択
      This dataset represents Food Consumption, Food Production and Trade by various Food items. Note: data represent values for time periods (1990-1992, 1995-97, 2000-02, 2005-07) and is shown as data for the last year of time period (1992, 1997, 2002, 2007).
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2017
      データセットを選択
      The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • 5月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 29 5月, 2018
      データセットを選択
      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • 4月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2018
      データセットを選択
      Producer Price Indices - AnnualIndices of agricultural producer prices measure the average annual change over time in the selling prices received by farmers (prices at the farm-gate or at the first point of sale). Annual data are provided for over 80 countries. The three categories of producer price indices available in FAOSTAT comprise: Single-item price indices, Commodity group indices and the Agriculture producer price index.
    • 10月 2011
      ソース: Food and Agricultural Policy Research Institute
      アップロード者: Knoema
      以下でアクセス: 25 12月, 2012
      データセットを選択
      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • 4月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 23 5月, 2018
      データセットを選択
      FDI statistics cover all entities in an FDI relationship. An FDI relationship is established when an investor in one country acquires 10% or more of the voting power in a business enterprise in another country. The investor is also called a direct investor or a parent and the business enterprise is called a direct investment enterprise or an affiliate. The 10 percent criteria is used to establish that the direct investor has a significant degree of influence over the operations of the direct investment enterprise. The FDI population includes affiliates that are directly and indirectly owned by the parent. In direct ownership, the parent owns the 10% or more voting power itself. In indirect ownership, the parent controls an affiliate that in turn owns 10 percent or more of the voting power in another enterprise. The FDI population also includes enterprises that are not in a direct investment relationship themselves but have a direct investor in common. Called fellow enterprises, they are included because, even though there is no direct investment relationship between the two, any transactions between them likely resulted from the influence that their common direct investor has on both of their operations.
    • 2月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 26 6月, 2018
      データセットを選択
      FDI data are based on statistics provided by 35 OECD member countries and by Lithuania. BMD4: OECD Benchmark Definition of Foreign Direct Investment - 4th Edition
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 7月, 2018
      データセットを選択
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 02 7月, 2018
      データセットを選択
    • 4月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 07 5月, 2014
      データセットを選択
      Source: OECD International direct investment database, IMF Reference:Benchmark Definition of Foreign Direct Investment, 3rd edition   Foreign direct investment reflects the objective of obtaining a lasting interest by a resident entity in one economy (‘‘direct investor'') in anentity resident in an economy other than that of the investor (‘‘direct investment enterprise''). The lasting interest implies the existence of a long-term relationship between the direct investor and the enterprise and a significant degree of influence on the management of the enterprise. Direct investment involves both the initial transaction between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated.
    • 6月 2010
      ソース: International Federation of Association Football
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2014
      データセットを選択
      FIFA is the international governing body of association football, futsal and beach soccer. Its membership comprises 209 national associations. Its headquarters are in Zurich, Switzerland, and its president is Sepp Blatter. FIFA is responsible for the organisation of football's major international tournaments, notably the World Cup.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2018
      データセットを選択
      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. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the ILO estimates and projections methodological note.
    • 8月 2013
      ソース: International Fertilizer Industry Association
      アップロード者: Knoema
      以下でアクセス: 30 10月, 2013
      データセットを選択
      Assessment of Fertilizer Use by Crop at the Global Level 2011. Fully understanding the contribution of the different crop types to fertilizer use at national, regional and global levels is a prerequisite to the development of sound fertilizer demand forecasts. IFA gathers information on fertilizer use by crop in the main fertilizer-consuming countries. IFA's Assessment currently covers 23 countries (considering the EU-27 as a single country), which account together for more than 90% of world fertilizer consumption, making it possible to analyze fertilizer use by crop type at the global level.
    • 9月 2018
      ソース: International Federation of Association Football
      アップロード者: Knoema
      以下でアクセス: 13 10月, 2018
      データセットを選択
      Monthly updates of FIFA World Football Men's Ranking 
    • 10月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2017
      データセットを選択
      It presents the final consumption expenditure of households broken down by the COICOP (Classification of Individual Consumption According to Purpose) classification and by durability.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • 8月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      This indicator is a proxy for the quality of health care. It represents the percentage of the population without access to health care due to financial resource deficit. The threshold for having sufficient financial resources is US$239 per person per year. A higher figure indicates worse levels of coverage. To estimate the quality of health care, this indicator uses as a proxy the relative difference between per capita health expenditure in a given country and its median value in countries with a low level of vulnerability.To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • 10月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2018
      データセットを選択
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • 2月 2018
      ソース: Finnish Customs
      アップロード者: Knoema
      以下でアクセス: 01 3月, 2018
      データセットを選択
      Foreign trade statistics provide information on the goods trade between Finland and the other EU member states and third countries. Customs compiles statistics on the value and transports of foreign trade and on border traffic.
    • 2月 2018
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 21 2月, 2018
      データセットを選択
      Employment statistics are annual statistics providing data by region on the population’s economic activity and employment.
    • 3月 2018
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 20 4月, 2018
      データセットを選択
      These statistics on the structure of the population describe Finnish and foreign citizens permanently resident in Finland at the turn of the year.
    • 9月 2018
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 24 9月, 2018
      データセットを選択
      Accommodation statistics describe the supply and use of hotel services, and provide data on the numbers of users of these services and on overnight stays. Arrivals, Nights spend, Change of nights spend, %, (3). Note: 2016 Annual data is sum of January to May and for rest of the years from January to December
    • 9月 2018
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 24 9月, 2018
      データセットを選択
      The statistics on balance of payments describes the external balance of the national economy from the perspectives of both real and financial economy.
    • 9月 2018
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 27 9月, 2018
      データセットを選択
      The statistics present information about total consumption of energy, electricity production and total consumption and imports and exports of energy.
    • 11月 2017
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 22 12月, 2017
      データセットを選択
      Direct investments to Finland describe the capital that a foreign investor has invested directly in a unit located in Finland under the investors' control or influence.   Inward Flow: FDI is coming in to Finland from other countries. Outward Flow: FDI is going out from Finland to other countries.
    • 9月 2017
      ソース: Statistics Finland
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2017
      データセットを選択
      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.
    • 10月 2017
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 27 11月, 2017
      データセットを選択
      First Year Expenditures and Planned Total Expenditures for Investments Initiated in 2016, Country of UBO by Type of Investment
    • 1月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 16 2月, 2018
      データセットを選択
      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).
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 22 6月, 2018
      データセットを選択
      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.
    • 2月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 3月, 2018
      データセットを選択
      The Fisheries R&D expenditures dataset contains the budgetary expenditures in research and development on total budgetary FSE. Three variables are presented in this dataset:  • R&D expenditures - they are budgetary expenditures that finance research and development activities related to fisheries, irrespective of the institution (private or public, ministry, university, research centre or fisher group) or where they take place, the nature of research (scientific, institutional, etc.), or its purpose. The focus is on research and development expenditures on applied research related to the fisheries sector. Social-sciences research related to fisheries is included. It is also included data dissemination when associated primarily with research and development (knowledge generation), e.g. reports from research and databases developed as an adjunct to research. •FISHERIES SUPPORT ESTIMATE - Budgetary - it is the annual monetary value of gross transfers from taxpayers to fishers arising from policy measures that support fisheries, regardless of their nature, objectives or impacts. Data on FSE are collected by the Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) on an annual basis from all its participating countries. Data are provided by Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. The original financial data is collected in national currency at current values; they are converted and published also in US dollars, for analytical purposes and to allow data comparisons. • Share of R&D expenditures on FSE - it is the share of budgetary research and development expenditures on total budgetary FSE. Please notice that total budgetary FSE is defined ‘net’, i.e. it is adjusted for costs incurred by fishers in order to receive the support. Whenever these costs are of significant amount, total budgetary FSE becomes remarkably low or negative. The corresponding share of research and development expenditures turns into a percentage exceptionally high or negative.
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 13 1月, 2018
      データセットを選択
      The OECD Fisheries Support Estimates (FSE) database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies.   It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies.   These tables report country programmes data aggregated according to the main categories presented in the FSE Manual.   More detailed documentation on country programmes can be found in country-level metadata; more data on country programmes can be found in the full dataset (Excel Format - link provided below). Statistics are organized in pivot tables to make possible cross-country comparisons and to filter disaggregated policy-level data by policy implementation criteria and country.   The FSE data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies.   Data on landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • 2月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 12 3月, 2018
      データセットを選択
      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.
    • 2月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 30 4月, 2018
      データセットを選択
      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.
    • 9月 2017
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      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.
    • 9月 2017
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      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.
    • 9月 2017
      ソース: United Nations World Food Programme
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      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.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 09 4月, 2018
      データセットを選択
      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • 9月 2017
      ソース: Knoema
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2017
      データセットを選択
      Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
    • 2月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 19 2月, 2018
      データセットを選択
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 4月, 2018
      データセットを選択
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • 7月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2017
      データセットを選択
      The OECD food waste dataset is a compilation of available data related to food loss and food waste for 32 countries. The period covered may vary across different countries depending on data availability (globally ranging from 1993 to 2013). Several types of sources have been used: international organisations, government and national statistic institutes, OECD delegations, academic studies and private sector or>>/governmental analytical reports. When available, detailed information on sources is provided in the "variable def. and sources" (eg. references to an academic article or a government website).
    • 12月 2017
      ソース: Forbes
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2018
      データセットを選択
      Most innovation rankings are popularity contests based on past performance or editorial whims. We set out to create something very different with the World’s Most Innovative Companies list, using the wisdom of the crowd. Our method relies on investors’ ability to identify firms they expect to be innovative now and in the future.
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2017
      データセットを選択
      Research by the Global Burden of Disease Health Financing Collaborator Network produced forecasted health spending estimates for 2015-2040 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. GDP and all-sector government spending were extracted for 1980–2015 and used with retrospective health spending estimates for 1995-2014 to forecast GDP, all-sector government spending, and health spending through 2040. Results of the study were published in The Lancet in April 2017 in "Future and potential spending on health 2015–40: government, prepaid private, out-of-pocket, and donor financing in 184 countries."
    • 9月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 04 10月, 2014
      データセットを選択
      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.
    • 10月 2017
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 02 11月, 2017
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    • 12月 2017
      ソース: U.S. Department of Commerce, Bureau of Economic Analysis
      アップロード者: Knoema
      以下でアクセス: 09 1月, 2018
      データセットを選択
      The activities of multinational enterprises statistics available here provide a picture of the overall activities of U.S. affiliates of foreign parents and contain a wide variety of indicators of their financial structure and operations. These statistics cover items that are needed in analyzing the characteristics, performance, and economic impact of MNEs, and are obtained from mandatory surveys of U.S. affiliates of foreign parents conducted by BEA.
    • 8月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 13 8月, 2018
      データセットを選択
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. These figures correspond to the Statistical Annexes of the UNCTAD World Investment Report. The World Investment Report, which is released in June each year (t), contains annual data up to the year before (t-1). However, at the time of publication, the data for the most recent year are still preliminary and are subject to revision by the national authorities. When they revise data, UNCTAD updates its database accordingly. The dataset also presents the following indicators: the percentage share of each economy/group in the world, and percentage ratios of FDI to GDP. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in an another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt. FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated
    • 4月 2017
      ソース: Statistics Centre of Abu Dhabi
      アップロード者: Knoema
      以下でアクセス: 28 7月, 2017
      データセットを選択
    • 6月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2012
      データセットを選択
      This Dataset contains 5 Tables. Foreign official reserves - Annual data (mny_for_a); Foreign official reserves - Quarterly data (mny_for_q); Foreign official reserves - Monthly data (mny_for_m); Monetary gold in fine troy ounces - Yearly data (mny_for_gold_a); Monetary gold in fine troy ounces - Monthly data (mny_for_gold_m). Note: i) All data in the datasets represents 'Value at the end of the period (END)'. ii): Eurostat Hierarchy: Economy and finance > Monetary and other financial statistics (mny) > Foreign official reserves (mny_for).
    • 10月 2018
      ソース: U.S. Census Bureau
      アップロード者: Knoema
      以下でアクセス: 08 10月, 2018
      データセットを選択
    • 5月 2018
      ソース: Saudi Arabian Monetary Agency
      アップロード者: Knoema
      以下でアクセス: 25 6月, 2018
      データセットを選択
    • 7月 2018
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 09 7月, 2018
      データセットを選択
    • 3月 2018
      ソース: United Nations Economic Commission for Europe
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2018
      データセットを選択
    • 12月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 03 1月, 2018
      データセットを選択
      The database contains data on the production and trade in roundwood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Roundwood removals (production) by type of wood and assortment - Production and trade in roundwood, woodfuel and other basic products - Industrial roundwood by assortment and species - Sawnwood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
    • 5月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 25 5月, 2018
      データセットを選択
    • 12月 2016
      ソース: Carbon Dioxide Information Analysis Center
      アップロード者: Knoema
      以下でアクセス: 17 5月, 2017
      データセットを選択
      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
    • 5月 2018
      ソース: Fund for Peace
      アップロード者: Knoema
      以下でアクセス: 15 5月, 2018
      データセットを選択
      The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
    • 1月 2018
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 30 1月, 2018
      データセットを選択
      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.
    • 4月 2017
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      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.
    • 4月 2017
      ソース: Freedom House
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      Freedom on the Net measures the subtle and not-so-subtle ways that governments and non-state actors around the world restrict our intrinsic rights online. Freedom on the Net scores are based on a scale of 0 to 100 with 0 representing the best level of freedom on the net progress and 100 the worst. Note: 1)The 2017 ratings reflect the period of June 1, 2016 through May 31, 2017 2)The 2016 ratings reflect the period of June 1, 2015 through May 31, 2016. 3)The 2015 ratings reflect the period January 1 through December 31, 2014.
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2018
      データセットを選択
      Key statistical concept Although there are clear definitions for all the terms used in this survey, countries might have different methodologies to calculate tonne-kilometer and passenger-kilometers. Methods could be based on traffic or mobility surveys, use very different sampling methods and estimating techniques which could affect the comparability of their statistics. Also, if the definition on road fatalities is very clear and well applied by most countries, this is not the case for road injuries. Indeed, not only countries might have different definitions but the important underreporting of road injuries in most countries can distort analysis based on these data.
    • 3月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2018
      データセットを選択
      This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries. Water abstractions are a major pressure on freshwater resources, particularly from public water supplies, irrigation, industrial processes and cooling of electric power plants. It has significant implications for issues of quantity and quality of water resources. This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total withdrawal. When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by Member countries may vary considerably among countries.
    • 3月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 5月, 2018
      データセットを選択
      Austria: Long-term annual average 1961-90 Belgium: Data exclude underground flows and include estimates Canada: Long-term annual average 1971-2004 Chile: Long-term annual average 2000-2014 Colombia: Long-term annual average 1974-2012 Czech Republic: The long-term annual average refers to the latest 20 years Denmark: Long-term annual average 1995-2015 Estonia: Long-term annual average refers to the latest 30 years and includes only data about fresh surface water France: Long-term annual average : 1981-2010. Inflow and outflow: outflow is computed using the throughput of rivers having their source in France but the mouth outside France; measures are taken at the French border using the daily throughputs. Precipitation and real evapotranspiration data are derived from a gridded atmospheric model (grid point of 8 by 8 km2) applied to the territory of metropolitan France. Germany: Long-term annual average 1995-2015 Hungary: Long-term annual average 1971-2000 Ireland: Long-term annual average 1981-2010. Groundwater figures are not available and therefore are not included. Israel: Long-term annual average 2000-2013 Italy: Long-term annual average 1971-2000 Japan: Long-term annual average 1971-2006 Korea: Long-term annual average 1974-2003 Latvia: Long-term annual average 2005-2013 Lithuania: Long-term annual average 2000-2014 Mexico: The long-term annual average covers 30 years Netherlands: Long-term annual average 1981-2010 New Zealand: Long-term annual average 1995-2014 Norway: The data for precipitation and evotranspiration refer to the period LTAA (long-term annual average) 1961-90 whereas the others to the period LTAA 1981-2010, that is why precipitation minus evotranspiration is different from internal resources. Poland: Long-term annual average 1951-2014. Estimates on the base of mean annual flow. For more information, see: http://www.kzgw.gov.pl/ , http://www.pgi.gov.pl/ , http://www.psh.gov.pl/ , http://www.imgw.pl/ Slovak Republic: Long-term annual average is 1961-1990 for internal resources, 1961-2000 for external inflow Slovenia: Long-term annual average is 1971-2000 Sweden: Long-term annual average : 1990-2009. The difference between precipitation and evapotranspiration refers to storage Switzerland: Long-term annual average : 1981-2010 Turkey: Long-term annual average: data for internal flow refers to the period 1980-2011 Costa Rica: The long-term annual average refers to 1990-2014 Russia: The long-term annual average refers to 1936-1980
    • 10月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 12月, 2017
      データセットを選択
      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • 3月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2018
      データセットを選択
      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf.  Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
  • G
    • 10月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 10月, 2018
      データセットを選択
      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey.   The G20 CPI has been calculated for the headline indicators only (CPI All items / HICP Total). It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year's relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs).
    • 9月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2018
      データセットを選択
      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries (with the exception of Turkey) that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey. It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year’s relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). The table presents the data for all non-EU countries. The HICP tables for France, Germany, Italy, the United Kingdom, and the euro area and European Union can be found under the HICP tables.
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2017
      データセットを選択
      Global Burden of Disease Study 2015 (GBD 2015) estimates were used in an analysis of national levels of personal healthcare access and quality based on 32 causes of disease and injury considered amenable to healthcare over time. This dataset includes the following global, regional, and national or territory-level estimates for 1990-2015: age-standardized risk-standardized death rates for 32 causes considered amenable to healthcare; the Healthcare Quality and Access (HAQ) Index and individual indices for each of the 32 causes on a scale of 0 to 100; and a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI). Results were published in The Lancet in May 2017 in "Healthcare Access and Quality Index based on mortality from causes amenable to personal healthcare in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015."
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 14 11月, 2017
      データセットを選択
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 31 10月, 2017
      データセットを選択
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability, years of life lost (YLLs), prevalence, and incidence for 32 cancer groups by age and sex for 21 regions, 195 countries and territories, and select subnational units for 1990-2015 (quinquennial) are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in December 2016 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 32 Cancer Groups, 1990-2015: A Systematic Analysis for the Global Burden of Disease Study."
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 27 10月, 2017
      データセットを選択
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 10 11月, 2017
      データセットを選択
      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Cause-specific mortality estimates for deaths and years of life lost (YLLs) are available from the GBD Results Tool. Estimates are available by age and sex for 264 causes for 1990-2016. Select tables published in The Lancet in September 2017 in "Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 07 11月, 2017
      データセットを選択
      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2016 (quinquennial). Select tables published in The Lancet in September 2017 in "Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 09 11月, 2017
      データセットを選択
      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2016. The United Nations established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 232 indicators leading up to 2030. Drawing from GBD 2016, this dataset provides estimates for 37 health-related SDG indicators for 188 countries from 1990 to 2016, as well as projections, based on past trends, from 2017 to 2030. These 37 SDG indicators were used to construct the health-related SDG index, a summary measure of overall performance across the health-related SDGs. The results were published in The Lancet in September 2017 in "Measuring progress and projecting attainment based on past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016."
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 06 11月, 2017
      データセットを選択
      The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a summary measure of a geography's socio-demographic development. It is based on average income per person, educational attainment, and total fertility rate (TFR). SDI contains an interpretable scale: zero represents the lowest income per capita, lowest educational attainment, and highest TFR observed across all GBD geographies from 1970 to 2016, and one represents the highest income per capita, highest educational attainment, and lowest TFR. This dataset provides tables with SDI values for all estimated GBD 2016 geographies for 1970–2016 and groupings by geography based on 2016 values.
    • 9月 2018
      ソース: Global Database of Events, Language, and Tone
      アップロード者: Knoema
      以下でアクセス: 20 9月, 2018
      データセットを選択
      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."
    • 10月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2018
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 10月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2018
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 1月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2017
      データセットを選択
      This dataset includes gender inequality and development indices.
    • 7月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 17 8月, 2018
      データセットを選択
      Gender Stats is a one stop source of information on gender at the country level. A compilation of data on key gender topics from national statistics agencies, United Nations databases, and World Bank-conducted or funded surveys. A work-in-progress because the database is continuously updated as new information becomes available.
    • 2月 2015
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 17 2月, 2015
      データセットを選択
      The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s economic empowerment and understand gender gaps in other key areas of development. Covering 160 countries, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
    • 3月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 28 5月, 2018
      データセットを選択
      It provides a faithful image, to the greatest extent possible, of the aggregates and balances of the general government sector in the SNA 1993 conceptual framework. In addition, it brings to light two relevant aggregates that do not belong to this conceptual frame work: the Total Revenue and the Total Expenditure of the general government sector. Unit of measure used - National currency; current prices. Expressed in millions.
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 1月, 2018
      データセットを選択
      This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank, and cover, where available: -Current Gross National Income (GNI) in US $ millions; -GNI per capita (US $); -Population; -Energy use as kilogram of oil per capita; -Average Life Expectancy of Adults; and -Adult Literacy Rate as a percentage of the country population. Data for Sudan include South Sudan, with the exception of total population, which is reported separately.
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 3月, 2018
      データセットを選択
    • 2月 2018
      ソース: German Chemicals Industry Association
      アップロード者: Knoema
      以下でアクセス: 26 4月, 2018
      データセットを選択
      Facts and figures for chemistry (2017), Foreign Trade
    • 2月 2018
      ソース: German Chemicals Industry Association
      アップロード者: Knoema
      以下でアクセス: 26 4月, 2018
      データセットを選択
      Chemistry facts and figures 2017: Investments
    • 7月 2018
      ソース: German Electrical and Electronic Manufacturers' Association
      アップロード者: Knoema
      以下でアクセス: 27 7月, 2018
      データセットを選択
      Facts and figures on the Electrical & Electronic industry
    • 10月 2017
      ソース: Emission Database for Global Atmospheric Research
      アップロード者: Knoema
      以下でアクセス: 15 11月, 2017
      データセットを選択
        GHG and CO2 Emissions, 1970 - 2016   Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
    • 9月 2018
      ソース: Knight Frank
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2018
      データセットを選択
      Note: Countries are ranked according to 12-month price growth.The Knight Frank Global House Price Index established in 2006 allows investors and developers to monitor and compare the performance of mainstream residential markets across the world. The index is compiled on a quarterly basis using official government statistics or central bank data where available. The index’s overall performance is weighted by GDP and the latest quarter’s data is provisional pending the release of all the countries’ results.  Data for Australia, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, India, Israel, Italy, Japan, Latvia, Malaysia, Morocco, New Zealand, Peru, Poland, Romania is to Q4 2017; data for Bulgaria, Croatia, Hungary, Luxembourg and Slovenia is to Q3 2017.  Important Notice: This report is published for general information only and not to be relied upon in any way. Although high standards have been used in the preparation of the information, analysis, views and projections presented in this report, no responsibility or liability whatsoever can be accepted by Knight Frank LLP for any loss or damage resultant from any use of, reliance on or reference to the contents of this document. As a general report, this material does not necessarily represent the view of Knight Frank LLP in relation to particular properties or projects. Reproduction of this report in whole or in part is not allowed without prior written approval of Knight Frank LLP to the form and content within which it appears. Knight Frank LLP is a limited liability partnership registered in England with registered number OC305934. Our registered office is 55 Baker Street, London, W1U 8AN, where you may look at a list of members’ names.
    • 10月 2015
      ソース: HelpAge International
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2015
      データセットを選択
      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.
    • 3月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 28 3月, 2018
      データセットを選択
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • 7月 2011
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2017
      データセットを選択
      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.
    • 3月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      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
    • 10月 2013
      ソース: Netherlands Environmental Assessment Agency
      アップロード者: Knoema
      以下でアクセス: 04 11月, 2013
      データセットを選択
      PBL Netherlands Environmental Assessment Agency is the national institute for strategic policy analyses in the fields of the environment, nature and spatial planning. For global CO2 emissions from 1970 to 2008 it is used the EDGAR 4.2 data set for greenhouse gases, the results from a joint project of the European Commission’s Joint Research Centre (JRC) and the PBL Netherlands Environmental Assessment Agency, published in November 2011. This data set provides greenhouse gas emissions per country and on a 0.1 x 0.1 degree grid for all anthropogenic sources identified by the IPCC (JRC/PBL, 2011) for the period 1970-2008. Although the data set distinguishes about 25 sources categories, emissions are estimated for well over 100 detailed categories as identified in the Revised 1996 IPCC guidelines for compilation of emission inventories (IPCC, 1996). The core EDGAR 4.2 dataset was extended to 2010 using a fast-track approach based on IEA (2012) fuel-use trends for 2009-2010, for the greenhouse gas section in last year’s CO2 report of IEA (Olivier and Janssens-Maenhout, 2012) and it is this extended EDGAR 4.2 FT2010 data set that is used for this assessment.
    • 11月 2017
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 11月, 2017
      データセットを選択
      This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
    • 11月 2016
      ソース: DHL
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2016
      データセットを選択
      DHL released the third edition of its Global Connectedness Index (GCI), a detailed analysis of the state of globalization around the world. The latest report, authored by internationally acclaimed globalization expert Professor Pankaj Ghemawat together with Steven A. Altman, shows that global connectedness, measured by cross-border flows of trade, capital, information and people, has recovered most of its losses incurred during the financial crisis. Especially the depth of international interactions – the proportion of interactions that cross national borders – gained momentum in 2013 after its recovery had stalled in the previous year. Nonetheless, trade depth, as a distinct dimension of globalization, continues to stagnate and the overall level of global connectedness remains quite limited, implying that there could be gains of trillions of US dollars if boosted in future years.
    • 7月 2017
      ソース: International Telecommunication Union
      アップロード者: Shakthi Krishnan
      以下でアクセス: 13 9月, 2017
      データセットを選択
        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.
    • 2月 2017
      ソース: Global Democracy Ranking
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2017
      データセットを選択
      The Democracy Ranking 2016 compares the development of quality of democracy in 112 countries during the years 2011-2012 with 2014-2015. It is based on the following dimensions: politics (weighted with 50%), economy (10%), ecology and environment (10%), gender equality (10%), health and health status (10%), and knowledge (10%). The possible values that a country can achieve go from 1 (minimum) to 100 (maximum) (the entire scale is thus 1-100). Rank change: + sign shows improvement in rank and - sign shows deterioration in rank
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 03 11月, 2017
      データセットを選択
      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2014 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and 964 National Health Accounts. The resulting estimates were used to help produce forecasted health spending estimates for 2015-2040. Results of the study were published in The Lancet in April 2017 in "Evolution and patterns of global health financing 1995–2014: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • 7月 2013
      ソース: ONE
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2013
      データセットを選択
      Dataset represents the results of the survey, conducted in order to reveal people's expectations about the improvments that they think are of primary importance when determining Global Development Goals on post-2015 period.
    • 8月 2015
      ソース: Grant Thornton
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2015
      データセットを選択
      The Grant Thornton Global Dynamism Index (GDI) ranks 60 leading economies on their dynamism in five key areas – business operating environment, economics & growth, science & technology, labour & human capital and financing environment. The GDI analyses 22 indicators across these five categories to assess the dynamism of business growth environments around the world, where dynamism refers to the changes in an economy over the past 12 months which are likely to lead to a faster future rate of growth.
    • 5月 2018
      ソース: International Energy Agency
      アップロード者: Knoema
      以下でアクセス: 10 8月, 2018
      データセットを選択
      Electric Vehicles (EVs), primarily Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs), have the capacity to increase energy efficiency, diversify transport energy carriers, and reduce their carbon intensity, supporting the integration of variable renewable energy in the power generation mix and transferring to the transport sector GHG emissions mitigations occurring in power generation. BEVs and PHEVs are also well equipped to reduce emissions of local pollutants in high-exposure areas such as urban environments, where they would also reduce noise levels. This report aims to provide an update on recent EV developments, providing detailed information on the recent evolution of EV registrations (vehicle sales), the number of EVs on the road, their modal coverage across the most relevant global vehicle markets. The analysis also looks at the availability and characteristics of Electric Vehicle Supply Equipment (EVSE), reporting on the evolution of deployment rates. The report includes a review and a discussion of key elements on policy support, both for EVs and EVSE. The analysis is also providing insights on the encouraging signs that characterized the recent evolution of battery costs and energy density.
    • 10月 2017
      ソース: Emission Database for Global Atmospheric Research
      アップロード者: Knoema
      以下でアクセス: 10 1月, 2018
      データセットを選択
      Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
    • 3月 2017
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2017
      データセットを選択
      The Energy Architecture Performance Index (EAPI) uses a set of indicators to highlight the performance of various countries across each facet of their energy architecture, determining to what extent nations have been able to create affordable, sustainable and secure energy systems   1)Economic growth and development: The extent to which energy architecture supports, rather than detracts from, economic growth and development 2) Environmental sustainability: The extent to which energy architecture has been constructed to minimize negative environmental externalities 3) Energy access and security: The extent to which energy architecture is at risk of an energy security impact, and whether adequate access to energy is provided to all parts of the population   Note: For detail methodology please visit:"http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2017.pdf"
    • 12月 2015
      ソース: Global Energy Network Institute
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2016
      データセットを選択
      Data for 2005 but still gives a general idea as to the status of Japan compared to other developed countries.
    • 6月 2015
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 19 7月, 2018
      データセットを選択
      The energy subsidy estimates reported here are based on the broad notion of post-tax subsidies, which arise when consumer prices are below supply costs plus a tax to reflect environmental damage and an additional tax applied to all consumption goods to raise government revenues. Pre-tax subsidies, which arise when consumer prices are below supply costs, are also reported as a component of post-tax subsidies. These subsidies will not necessarily coincide with definitions used by governments or with their reported subsidy numbers. The energy subsidy estimates are not available for the following countries in 2013: Bhutan, Central African Republic, Chad, Comoros, Eritrea, Fiji, Gambia, Guinea, Guinea-Bissau, Kiribati, Kosovo, Lao P.D.R., Liberia, Maldives, Marshall Islands, Mauritius, Micronesia, Niger, Palau, Samoa, San Marino, São Tomé and Príncipe, Seychelles, Sierra Leone, Solomon Islands, South Sudan, St. Lucia, St. Vincent and the Grenadines, Swaziland, Timor-Leste, Tonga, Tuvalu, and Vanuatu. In 2015, estimates are not available for two addtional countries: Burundi and Togo.
    • 11月 2017
      ソース: Global Entrepreneurship and Development Institute
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
      Global Entrepreneurship Index provides information about global entrepreneurship sub Index ranks and scoring of all countries.It also provides information about certain indicators like attitudes,abilities and aspirations with their ranks and scores
    • 1月 2018
      ソース: Global Entrepreneurship Monitor
      アップロード者: Knoema
      以下でアクセス: 09 2月, 2018
      データセットを選択
      The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.  
    • 4月 2018
      ソース: Global Entrepreneurship Monitor
      アップロード者: Knoema
      以下でアクセス: 03 4月, 2018
      データセットを選択
      The GEM National Expert Survey (NES) monitors the factors that are believed to have a significant impact on entrepreneurship, known as the Entrepreneurial Framework Conditions (EFCs). It is administered to a minimum of 36 carefully chosen 'experts' in each country. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.
    • 6月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2018
      データセットを選択
      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.
    • 4月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2018
      データセットを選択
      The Global Financial Inclusion Database provides 850+ country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, employment status and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. World Bank: Washington, DC.
    • 5月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 19 6月, 2017
      データセットを選択
      Global Financial Stability Report (GFSR) finds that six years after the start of the crisis, the global economic recovery continues to rely heavily on accommodative monetary policies in advanced economies. Monetary accommodation remains critical in supporting the economy by encouraging economic risk taking in the form of increased real spending by households and greater willingness to invest and hire by businesses. However, prolonged monetary ease may also encourage excessive financial risk taking.
    • 3月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2018
      データセットを選択
      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
    • 9月 2015
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 05 10月, 2015
      データセットを選択
      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.
    • 10月 2017
      ソース: World Economic Forum
      アップロード者: Shakthi Krishnan
      以下でアクセス: 29 11月, 2017
      データセットを選択
      This data set provides the Index benchmarks national gender gaps on economic, political, education and health criteria, and provides country rankings that allow for effective comparisons across regions and income groups. The rankings are designed to create greater awareness among a global audience of the challenges posed by gender gaps and the opportunities created by reducing them. The methodology and quantitative analysis behind the rankings are intended to serve as a basis for designing effective measures for reducing gender gaps.
    • 12月 2016
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 20 4月, 2018
      データセットを選択
      This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • 9月 2018
      ソース: Dual Citizen LLC
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2018
      データセットを選択
      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.
    • 9月 2017
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2017
      データセットを選択
      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
    • 10月 2017
      ソース: International Food Policy Research Institute
      アップロード者: Knoema
      以下でアクセス: 18 10月, 2017
      データセットを選択
      Global Hunger Index, 2017   The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger. Since 2015, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child undernutrition, with two indicators of child undernutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time. The 2016 GHI has been calculated for 118 countries for which data on the four component indicators are available and where measuring hunger is considered most relevant. GHI scores are not calculated for some higher income countries where the prevalence of hunger is very low. The GHI is only as current as the data for its four component indicators. This year's GHI reflects the most recent available country-level data and projections available between 2011 and 2016. It therefore reflects the hunger levels during this period rather than solely capturing conditions in 2016. The 1992, 2000, 2008, and 2016 GHI scores reflect the latest revised data for the four component indicators of the GHI. Where original source data were not available, the estimates of the GHI component indicators were based on the most recent data available. The four component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1992, 2000, 2008, and 2016 GHI scores. Undernourishment data and projections for the 2016 GHI are for 2014-2016. 2. Child wasting and stunting: The child undernutrition indicators of the GHI—child wasting and child stunting—include data from the joint database of United Nations Children's Fund (UNICEF), the World Health Organization (WHO), and the World Bank, and additional data from WHO's continuously updated Global Database on Child Growth and Malnutrition; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) reports; and statistical tables from UNICEF. For the 2016 GHI, data on child wasting and child stunting are for the latest year for which data are available in the period 2011-2015. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1992, 2000, 2008, and 2016 GHI scores. For the 2016 GHI, data on child mortality are from 2015.   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Stunting in Children Under Five Years (%)4Prevalence of Wasting in Children Under Five Years(%)5Prevalence of underweight in children under five years (%)    Date for above indicators are taken as per below year ranges.Indicators12345DateRangeDateRangeDateRangeDateRangeDateRange19921990-199420152014-201620152012-201620152012-201619901988-199220001998-200220082007-200920082006-201020082006-201019951993-199720082006-201020001999-200120001998-200220001998-200220001998-200220172012-201619921991-199319921990-199419921990-199420052003-200719901988-199219901990-199219901988-199219901988-199220122009-201319951993-199719951994-199619951993-199719951993-199720112008-201220052003-200720052004-200620052003-200720052003-200720102005-201020152010-201620132014-201620132010-201420132010-201420092004-200920142009-201320122011-2013    20082003-200820132008-201220112010-2012    20072002-200719961988-199220102006-2008    20062001-200620011994-199820092005-2007    20042000-200520122005-201020082004-2006    19801977-198220112004-200920072003-2005    19971993-199820102003-200820062002-2004    20031999-200320092002-200720042001-2003        19801979-1981        19971995-1997        20032000-2002                 * 6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale ≤ 9.9 low 10.0–19.9 moderate 20.0–34.9 serious 35.0–49.9 alarming 50.0 ≤ extremely alarming
    • 7月 2016
      ソース: World Economic Forum
      アップロード者: Knoema
      以下でアクセス: 13 1月, 2017
      データセットを選択
      This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
    • 7月 2018
      ソース: Global Innovation Index
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2018
      データセットを選択
      The Global Innovation Index (GII) provides detailed metrics about the innovation performance of 126 countries which represent 90.8% of the world’s population and 96.3% of global GDP. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication.   The GII 2018 marks the 11th edition of the GII, and the beginning of its second decade providing data and insights gathered from tracking innovation across the globe. This year’s edition, is dedicated to the theme of Energizing the World with Innovation. It analyses the energy innovation landscape of the next decade and identifies possible breakthroughs in fields such as energy production, storage, distribution, and consumption. It also looks at how breakthrough innovation occurs at the grassroots level and describes how small-scale renewable systems are on the rise.
    • 8月 2018
      ソース: Internal Displacement Monitoring Centre
      アップロード者: Knoema
      以下でアクセス: 29 8月, 2018
      データセットを選択
      Global Internal Displacement Database (GIDD) aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of internal displacement associated with conflict and generalized violence (2014-2015), displacement associated with sudden-onset natural hazard-related disasters (2008-2015).
    • 2月 2016
      ソース: Material Flows
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2016
      データセットを選択
    • 6月 2018
      ソース: Global Open Data Index
      アップロード者: Knoema
      以下でアクセス: 13 6月, 2018
      データセットを選択
    • 12月 2017
      ソース: Milken Institute
      アップロード者: Knoema
      以下でアクセス: 28 12月, 2017
      データセットを選択
      The Global Opportunity Index answers a pressing need for information that's vital to a thriving global economy like what policies can governments pursue to attract foreign direct investment (FDI), expand their economies, and accelerate job creation, what do multinational companies, other investors, and development agencies need to know before making large-scale, long-term capital commitments.   Methodology:  The GOI considers economic and financial factors that influence investment activities as well as key business, legal and regulatory policies that governments can modify to support and often drive investments. Overall, the GOI tracks countries’ performance on 51 variables aggregated in five categories, each measuring an aspect of the country’s attractiveness for investors.Economic Fundamentals (EF) indicates the current economic strength of a country vis-à-vis the global economic outlook. The assessment focuses on the country’s macro-performance, trade openness, quality and structure of the labor force, and modern infrastructure.Financial Services (FS) measures the size and access to financial services in a country by looking at the country’s financial infrastructure and access to credit.Business Perception (BP) measures explicit and implicit costs associated with business operations such as tax burden, transparency, etc.Institutional Framework (IF) measures the extent to which an individual country’s institutions provide a supportive network to businesses.International Standards and Policy (ISP) reflects the extent to which a country’s institutions, policies, and legal system facilitate international integration by following international standards. The assigned composite index value is the average score of the five categories (called component scores). Each variable is normalized from 0 to 10. Within each category, the normalized variables are given equal weight and aggregated, resulting in a normalized category score between 0, indicating the least favorable conditions for investment, and 10, signaling the most favorable. The index covers 133 countries. The index methodology is reviewed for each publication to reflect changes in data sources or other relevant adjustments.
    • 12月 2016
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.
    • 6月 2018
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 10 7月, 2018
      データセットを選択
      The Global Peace Index 2018 report finds that the global level of peace has deteriorated by 0.27% over the last year. This is the fourth successive year of deterioration, finding that 92 countries have deteriorated, while 71 countries have improved. The report reveals a world in which tensions, conflicts and crises that have emerged over the past decade remain unresolved, causing a gradual, sustained decline in global levels of peacefulness.
    • 5月 2014
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Kirill Kosenkov
      以下でアクセス: 27 8月, 2015
      データセットを選択
      Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013. Comparable estimates based on systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports, using mixed effects linear regression to correct for bias in self-reports. Data for prevalence of obesity and overweight by age, sex, country, and year (n=19 244) obtained with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Research by the staff of the Institute for Health Metrics and Evalutaion with co-authors. Published online 28 May 2014, "The Lancet" Volume 384, No. 9945, p766–781. DOI: http://dx.doi.org/10.1016/S0140-6736(14)60460-8
    • 7月 2018
      ソース: Jones Lang LaSalle
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2018
      データセットを選択
      The 2018 Global Real Estate Transparency Index covers 100 markets and is based on 186 indicators. These variables are divided into six areas –performance measurement, market fundamentals, governance of listed vehicles, regulatory & legal frameworks, transaction process and environmental sustainability.   Tier 1: Highly Transparent - Total Composite Score: 1.00–1.96 Tier 2: Transparent - Total Composite Score: 1.97–2.65 Tier 3: Semi-Transparent - Total Composite Score: 2.66–3.50 Tier 4: Low Transparency - Total Composite Score: 3.51–4.16 Tier 5: Opaque - Total Composite Score: 4.17–5.00
    • 3月 2018
      ソース: A. T. Kearney
      アップロード者: Knoema
      以下でアクセス: 06 4月, 2018
      データセットを選択
      The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.
    • 9月 2018
      ソース: Natixis
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2018
      データセットを選択
      The Global Retirement Index (GRI) is a multi-dimensional index developed by Natixis Global Asset Management and CoreData Research to examine the factors that drive retirement security and to provide a comparison tool for best practices in retirement policy. The index incorporates 18 performance indicators, grouped into four thematic sub-indices, which have been calculated on the basis of reliable data from a range of international organizations and academic sources. It takes into account the particular characteristics of the older demographic retiree group in order to assess and compare the level of retirement security in different countries around the world. The four thematic indices cover key aspects for welfare in retirement: the material means to live comfortably in retirement; access to quality financial services to help preserve savings value and maximize income; access to quality health services; and a clean and safe environment. The sub-indices provide insight into which particular characteristics are driving an improvement or worsening each country’s position. Data has been tracked consistently to provide a basis for year-over-year comparison. This is the fifth year Natixis Global Asset Management and CoreData have produced the GRI as a guide to the changing decisions facing retirees as they focus on their needs and goals for the future, and where and how to most efficiently preserve wealth while enjoying retirement. As the GRI continues to run each year, it is our hope it will be possible to discern ongoing trends in, for instance, the quality of a nation’s financial services sector, thereby identifying those variables that can be best managed to ensure a more secure retirement. The index includes International Monetary Fund (IMF) advanced economies, members of the Organization for Economic Co-operation and Development (OECD) and the BRIC countries (Brazil, Russia, India, and China). The researchers calculated a mean score in each category and combined the category scores for a final overall ranking of the 43 nations studied. The index is calculated as a percentage from 0% to 100% where 100% represents the most favorable environment to retirement security.
    • 12月 2016
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 04 1月, 2017
      データセットを選択
      The Global status report on road safety 2015, reflecting information from 180 countries, indicates that worldwide the total number of road traffic deaths has plateaued at 1.25 million per year, with the highest road traffic fatality rates in low-income countries. In the last three years, 17 countries have aligned at least one of their laws with best practice on seat-belts, drink–driving, speed, motorcycle helmets or child restraints. While there has been progress towards improving road safety legislation and in making vehicles safer, the report shows that the pace of change is too slow. Urgent action is needed to achieve the ambitious target for road safety reflected in the newly adopted 2030 Agenda for Sustainable Development: halving the global number of deaths and injuries from road traffic crashes by 2020. Made possible through funding from Bloomberg Philanthropies, this report is the third in the series, and provides a snapshot of the road safety situation globally, highlighting the gaps and the measures needed to best drive progress.
    • 12月 2014
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 06 6月, 2018
      データセットを選択
      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.
    • 10月 2018
      ソース: countryeconomy.com
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      Global Stock Market Indexes, Daily Update
    • 4月 2014
      ソース: United Nations Office on Drugs and Crime
      アップロード者: Knoema
      以下でアクセス: 20 5月, 2016
      データセットを選択
      Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person
    • 1月 2018
      ソース: INSEAD
      アップロード者: Knoema
      以下でアクセス: 17 4月, 2018
      データセットを選択
      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • 6月 2018
      ソース: KPMG
      アップロード者: Knoema
      以下でアクセス: 03 7月, 2018
      データセットを選択
      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2018. Provided by KPMG.
    • 11月 2017
      ソース: Institute for Economics and Peace
      アップロード者: Knoema
      以下でアクセス: 11 12月, 2017
      データセットを選択
      The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.
    • 9月 2016
      ソース: KPMG
      アップロード者: Knoema
      以下でアクセス: 30 7月, 2018
      データセットを選択
      The 2016 Global Trade Management Survey is a combined effort of KPMG's Global Trade & Customs practice and Thomson Reuters who, together, have surveyed over 1,700 global trade specialists around the world to develop and present the findings of an extensive study on the state of global trade today.
    • 1月 2016
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 21 7月, 2016
      データセットを選択
    • 12月 2014
      ソース: World Wide Web Foundation
      アップロード者: Knoema
      以下でアクセス: 04 4月, 2016
      データセットを選択
      The Web has changed our lives. But to harness its full benefit, we need to understand how countries and people use it, and its impact on on development and human rights. The Web Index, by the World Wide Web Foundation, tracks the Web’s contribution to social, economic and political progress across 86 countries. It ranks these nations across four pillars: Universal Access, Freedom and Openness, Empowerment and Relevant Content.
    • 3月 2017
      ソース: International Youth Foundation
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2017
      データセットを選択
      The Global Youth Wellbeing Index details the performance and provides comparative analysis of 30 countries in terms of overall youth wellbeing and within six domains. The Index is designed to facilitate both thought and action by elevating youth needs and opportunities and young people’s participation on national and global agendas. It also provides public and private sector decision-makers an easier way to understand the big picture, guide actions and investments, and drive progress over time.   Wellbeing is a multidimensional concept that includes a person’s physical and mental health, educational status, economic position, physical safety, access to freedoms, and ability to participate in civic life, all components have again multiple aspects. It is, in a sense, the abundance or scarcity of opportunities available to an individual. The definition of wellbeing and the indicators selected to create a picture of wellbeing draw upon the body of work measuring quality of life and economic and social progress as well as the discipline of positive youth development, which is a framework that builds on young people’s assets while still addressing their deficits. Scores for countries are on a scale of 0 to 1, and ranks are assigned based on the numeric scores from highest to lowest.
    • 1月 2017
      ソース: U.S. Geological Survey
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2017
      データセットを選択
    • 2月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 14 6月, 2018
      データセットを選択
      This table is a compilation of statistics of trade in goods and services as reported in the Balance of Payments. The conceptual framework used for the compilation is based on the IMF Balance of Payments Manual (BPM5, 1993).
    • 8月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2018
      データセットを選択
      This dataset shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance (NTB) of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).   NTB=(EX-IM)/EX+IM)
    • 8月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 27 8月, 2018
      データセットを選択
      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • 8月 2014
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 28 8月, 2014
      データセットを選択
      This table shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP).
    • 8月 2014
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 28 8月, 2014
      データセットを選択
      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2017
      データセットを選択
      Most of the data in Government at a Glance have been compiled by the OECD. However, data are also drawn from the International Monetary Fund (IMF), the International Labour Organization (ILO) and Eurostat. More information can be found in the in the Introduction and in the Readers's guide of the Government at a Glance publication.
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 8月, 2018
      データセットを選択
      It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
    • 9月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 25 9月, 2018
      データセットを選択
      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
    • 8月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2018
      データセットを選択
      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterparty claim belongs. The counterpart sectors include nonfinancial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • 8月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2018
      データセットを選択
      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in nonfinancial assets – a component of total expenditure – on its components and related stock positions are provided.
    • 9月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 23 9月, 2018
      データセットを選択
      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
    • 9月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 25 9月, 2018
      データセットを選択
      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • 8月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 21 8月, 2018
      データセットを選択
      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • 9月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 9月, 2018
      データセットを選択
      This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). Data exclude indirect CO2.   Intensities (per unit of GDP and per capita) as well as index are calculated on gross direct emissions excluding emissions or removals from land-use, land-use change and forestry (LULUCF).   The GDP used to calculate intensities is expressed in USD at 2010 prices and PPPs.
    • 10月 2017
      ソース: World Resources Institute
      アップロード者: Knoema
      以下でアクセス: 04 9月, 2018
      データセットを選択
    • 9月 2014
      ソース: United Nations Framework Convention on Climate Change
      アップロード者: Knoema
      以下でアクセス: 10 9月, 2014
      データセットを選択
      Note 1: The reporting and review requirements for GHG inventories are different for Annex I and non-Annex I Parties. The definition format of data for emissions/removals from the forestry sector is different for Annex I and non-Annex I Parties. Note 2: Base year data in the data interface relate to the base year under the Climate Change Convention (UNFCCC). The base year under the Convention is defined slightly different than the base year under the Kyoto Protocol. An exception is made for European Union (15) whereby the base year under the Kyoto Protocol is displayed.
    • 1月 2015
      ソース: University of Groningen
      アップロード者: Pallavi S
      以下でアクセス: 25 2月, 2016
      データセットを選択
      The GGDC 10-Sector Database provides a long-run internationally comparable dataset on sectoral productivity performance in Asia, Europe, Latin America and the US. Variables covered in the data set are annual series of value added, output deflators, and persons employed for 10 broad sectors. It gives sectoral detail to the historical macro data in Maddison (2003) from 1950 onwards. It consists of series for 10 countries in Asia, 9 in Latin-America and 9 in Europe and the US. The data for Asia and Latin-America are based on Marcel P. Timmer and Gaaitzen J. de Vries (2007), 'A Cross-Country Database For Sectoral Employment And Productivity In Asia And Latin America, 1950-2005', GGDC Research memorandum GD-98, Groningen Growth and Development Centre, August 2007. Data for Europe and the US is based on an update of Bart van Ark (1996), Sectoral Growth Accounting and Structural Change in Post-War Europe, in B. van Ark and N.F.R. Crafts, eds., Quantitative Aspects of Post-War European Economic Growth, CEPR/Cambridge University Press, pp. 84-164. All series derived from this database need to be referred to as: "Timmer, Marcel P. and Gaaitzen J. de Vries (2009), "Structural Change and Growth Accelerations in Asia and Latin America: A New Sectoral Data Set" Cliometrica, vol 3 (issue 2) pp. 165-190."
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 19 6月, 2017
      データセットを選択
      This table contains research and development (R&D) expenditure statistics on gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by field of science (natural sciences, engineering, medical sciences, agricultural sciences, social sciences, and humanities). Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs).
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 21 6月, 2017
      データセットを選択
      Unit of measure used Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table presents data on Gross domestic expenditure on R&D (GERD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge, and Defence. Please note that in this new NABS 2007 classification, the three socio-economic objectives -- Education, Culture, recreation, religion and mass media, and Political and social systems, structures and processes -- were previously grouped under a single objective: Social structures and relationships. At the time of this publication there is no breakdown of historical data into the three new SEOs. Another issue relating to the transition from NABS 1993 to NABS 2007 is that what was formerly Other civil research is now to be distributed among the other chapters. This distribution has not yet been done in this database. Therefore, until the countries are in a position to provide breakdown according to the NABS 2007 classification, in some cases GERD by SEO is greater than the sum of its chapters.
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 30 5月, 2017
      データセットを選択
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs). Variables collected This table contains research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by source of funds (business enterprise, government - including public general university funds -, higher education, private non-profit and funds from abroad - including funds from enterprises and other funds from abroad).
    • 5月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 07 6月, 2017
      データセットを選択
      Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2010 prices and PPPs). Variables collected This table presents research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of costs (current expenditures: labour costs, other current costs; and capital expenditures: land and buildings, and instruments and equipment).
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2018
      データセットを選択
      It presents the three approaches of the GDP: expenditure based, output based and income based. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • 3月 2018
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2018
      データセットを選択
      This dataset provides information on gross domestic product (GDP), total and per capita at current and constant (2010) prices also it contains annual average growth rates of gross domestic product (GDP), total and per capita, in per cent. The total GDP is expressed in millions of dollars, while GDP per capita is expressed in dollars.
    • 9月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2018
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 10月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 02 10月, 2018
      データセットを選択
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • 7月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 8月, 2018
      データセットを選択
      Productivity is a key driver of economic growth and changes in living standards. Labour productivity growth implies a higher level of output for unit of labour input (hours worked or persons employed). This can be achieved if more capital is used in production or through improved overall efficiency with which labour and capital are used together, i.e., higher multifactor productivity growth (MFP). Productivity is also a key driver of international competitiveness, e.g. as measured by Unit Labour Costs (ULC).   The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, some time lag may arise which affects individual series and/or countries for two reasons: first, hours worked data from the OECD Employment Outlook are typically updated less frequently than the OECD Annual National Accounts Database; second, source data for capital services are typically available in annual national accounts later than source data for labour productivity and ULCs.   Note to users: The OECD Productivity Database accounts for the methodological changes in national accounts' statistics, such as the implementation of the System of National Accounts 2008 (2008 SNA) and the implementation of the international industrial classification ISIC Rev.4. These changes had an impact on output, labour and capital measurement. For Chile, China, Colombia, India, Japan, Turkey and the Russian Federation the indicators are in line with the System of National Accounts 1993 (1993 SNA); for all other countries, the indicators presented are based on the 2008 SNA
    • 10月 2015
      ソース: bq magazine
      アップロード者: Knoema
      以下でアクセス: 11 4月, 2016
      データセットを選択
      Gulf Dataset 2015 includes below Topics. 1. The Arab World Online 2014: Trends in Internet and Mobile Usage in the Arab Region http://img.b8cdn.com/images/uploads/article_docs/en_gip-mbrsg_bayt_internet_final_20422_EN.pdf 2. Just Falafel Index 2015: Given the popularity and convenience of the Big Mac Index by The Economist, bqdoha.com devised a similar, but more local, solution/version for currency valuation. http://www.bq-magazine.com/magazine-content/2015/01/just-falafel-index 3. CO2 emissions in GCC countries 2014 http://www.bq-magazine.com/gcc-illustrated/2014/08/co2-emissions-gcc-countries 4. Satisfaction with access to quality healthcare in the GCC http://www.bq-magazine.com/gcc-illustrated/2014/07/healthcare-access-gcc
  • H
    • 9月 2018
      ソース: Department of Business, Economic Development & Tourism, State of Hawaii
      アップロード者: Knoema
      以下でアクセス: 11 10月, 2018
      データセットを選択
    • 11月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 13 11月, 2017
      データセットを選択
      Cancer follow up has been given for the range of 5 years. The highest range has been considered as for this period, for example 1995-2000 is considered as 2000.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 14 8月, 2018
      データセットを選択
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 16 7月, 2018
      データセットを選択
      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 04 7月, 2018
      データセットを選択
      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 23 7月, 2018
      データセットを選択
      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse healthcare systems.
    • 9月 2018
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 03 10月, 2018
      データセットを選択
      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2018
      データセットを選択
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 23 7月, 2018
      データセットを選択
    • 9月 2015
      ソース: World Organisation for Animal Health
      アップロード者: Kirill Kosenkov
      以下でアクセス: 24 9月, 2015
      データセットを選択
      The World Organisation for Animal Health (OIE) data on Highly Pathogenic Avian Influenza in Animals (HPAI, informally known as bird flu). Number of outbreaks, total susceptible animals & animals destroyed and other stats by country.
    • 1月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 09 11月, 2017
      データセットを選択
      This dataset presents annual population data from 1950 to 2050 by sex and five year age groups as well as age-dependency ratios. The data is available for 46 countries. Data from 1950 to 2011 (2012) are historical data while data from 2012 (2013) are projections. In order to estimate the population in coming years, fertility rate, life expectancy and level of immigration have to be estimated. Assumptions underlying the estimations of each of these three elements are usually categorise as low, medium or high within one specific country. Where a range of projections are available, the projection data presented here are based on the "medium variant". Assumptions underlying the projection data shown are described country per country in the metadata table as well as the source of data. There are three sources for the data: national statistical institutes, Eurostat or the United Nations. The population data is presented in 18 five year age groups which refer to the population from 0-4 to 85 and more. The following age groups are also available: less than 15, less than 20, 15 to 64, 20-64, 65 and over. Age-dependency ratios are also presented. Assumptions by country. Data are presented for 46 countries. The 34 OECD member countries, the 6 EU countries not belonging to the OECD, and Brazil, Colombia, India, Indonesia, China, Russia and South Africa.
    • 11月 2016
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 26 5月, 2017
      データセットを選択
      The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product, Gross Government Debt, and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
    • 12月 2010
      ソース: Maddison Project
      アップロード者: Knoema
      データセットを選択
      Historical Statistics on Population, GDP and Per Capita GDP for 1-2008 AD period. Copyright Angus Maddison.
    • 3月 2017
      ソース: Ministry of Statistics and Programme Implementation (MOSPI), Government of India
      アップロード者: Knoema
      以下でアクセス: 11 9月, 2017
      データセットを選択
      Horticulture - Area, Production and Productivity Statistics, 2016 Note : This dataset covers the Area, Production and Productivity Statistics of Crops. Data refers to market year, for example data for 2001-02 market year is uploaded as data for 2002
    • 10月 2018
      ソース: CBS StatLine Databank
      アップロード者: Knoema
      以下でアクセス: 14 10月, 2018
      データセットを選択
      This table presents an overview of the number of guests and their overnight stays in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by country of origin of the guests (country of residence), parts of the country, provinces, tourist parts of the country and 5 major cities. Data available from: 2012 Status of the figures: The figures for the most recent reporting year 2018 are provisional. The figures until 2017 are final. Changes as of 10 October 2018: Figures for July 2018 have been added. The table now contains separate figures for the municipality of Haarlemmermeer. When will new figures be published? Figures of a new month become available within three months after the end of that month, these are provisional figures. The figures for the complete year are revised one month after publication of the December figures, these are revised provisional figures. Two months later definite figures will be published.
    • 2月 2017
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 13 4月, 2017
      データセットを選択
      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
    • 10月 2018
      ソース: Financial Tracking Service
      アップロード者: Knoema
      以下でアクセス: 12 10月, 2018
      データセットを選択
  • I
    • 1月 2008
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 22 9月, 2014
      データセットを選択
      ICT goods are those that are either intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR which use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process. ICT goods are defined by the OECD in terms of the Harmonised System. The guiding principle for the delineation of ICT goods is that such goods must either be intended to fulfil the function of information processing and communication by electronic means, including transmission and display, OR use electronic processing to detect, measure and/or record physical phenomena, or to control a physical process.Another guiding principle was to use existing classification systems in order to take advantage of existing data sets and therefore ensure the immediate use of the proposed standard. In this case, the underlying system is the Harmonized System (HS). The HS is the only commodity classification system used on a sufficiently wide basis to support international data comparison. A large number of countries use it to classify export and import of goods, and many countries use it (or a classification derived from or linked to it) to categorise domestic outputs.The application of the ICT product definition to selection of in-scope HS categories is a somewhat subjective exercise. The fact that the HS is not built on the basis of the functionality of products makes it much more difficult. The distinction between products which fulfil those functions and products that simply embody electronics but fundamentally fulfil other functions is not always obvious.It is possible to adopt a narrow or broad interpretation of the guideline, though the OECD chose a broader interpretation, an approach which is consistent with that adopted to develop the ICT sector definition.
    • 7月 2017
      ソース: International Centre for Tax and Development
      アップロード者: Knoema
      以下でアクセス: 11 10月, 2017
      データセットを選択
      ICTD Government Revenue Dataset, 2017 A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • 12月 2017
      ソース: Islamic Development Bank (IDB)
      アップロード者: Knoema
      以下でアクセス: 29 3月, 2018
      データセットを選択
    • 11月 2016
      ソース: International Energy Agency
      アップロード者: Knoema
      以下でアクセス: 30 3月, 2017
      データセットを選択
      The annual World Energy Outlook (WEO) is the world’s most authoritative source of energy market analysis and projections, providing critical analytical insights into trends in energy demand and supply and what they mean for energy security, environmental protection and economic development. The WEO projections are used by the public and private sector as a framework on which they can base their policy-making, planning and investment decisions and to identify what needs to be done to arrive at a supportable and sustainable energy future.
    • 8月 2018
      ソース: International Energy Agency
      アップロード者: Knoema
      以下でアクセス: 27 8月, 2018
      データセットを選択
    • 2月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • 2月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • 12月 2010
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2013
      データセットを選択
      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • 9月 2011
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • 12月 2010
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      データセットを選択
      IHME results from paper, Public financing of health in developing countries: a cross-national systematic analysis published in The Lancet in April 2010. This dataset provides estimates on domestically financed government health expenditures in developing countries and development assistance for health (DAH) to governmental and non-governmental recipients from 1995 to 2006.
    • 11月 2017
      ソース: India Meteorological Department
      アップロード者: Knoema
      以下でアクセス: 16 1月, 2018
      データセットを選択
      The IMD World Competitiveness Center is delighted to present its IMD World Talent Report 2017, which includes a talent ranking for all countries that are part of the IMD World Competitiveness Yearbook (63 countries as of 2017). The data are gathered from the Center’s extensive database, which encompasses 20 years of competitiveness-related data. In some sections of this report, we present a detailed discussion of the data (at the indicator level) from 2005 to 2017. In the indicator tables, however, we only present the 2017 data. All criteria employed in the development of this report can be accessed through the World Competitiveness Online website. The objective of the IMD World Talent Ranking is to assess the extent to which countries develop, attract and retain talent to sustain the talent pool available for enterprises operating in those economies. While the hard data used in this report have been gathered from various sources (see Appendix), the survey data were obtained from the Center’s executive opinion survey, designed for the World Competitiveness Yearbook.
    • 7月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2017
      データセットを選択
      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • 7月 2017
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 20 6月, 2018
      データセットを選択
      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources. In addition to the 195 countries covered by the Balance of Payments Statistics (BOP), the BOP World and Regional Aggregates database contains data for 11 regions (country groups) including the world.
    • 7月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2018
      データセットを選択
      Global growth is projected to reach 3.9 percent in 2018 and 2019, in line with the forecast of the April 2018 World Economic Outlook (WEO), but the expansion is becoming less even, and risks to the outlook are mounting. The rate of expansion appears to have peaked in some major economies and growth has become less synchronized. In the United States, near-term momentum is strengthening in line with the April WEO forecast, and the US dollar has appreciated by around 5 percent in recent weeks. Growth projections have been revised down for the euro area, Japan, and the United Kingdom, reflecting negative surprises to activity in early 2018. Among emerging market and developing economies, growth prospects are also becoming more uneven, amid rising oil prices, higher yields in the United States, escalating trade tensions, and market pressures on the currencies of some economies with weaker fundamentals. Growth projections have been revised down for Argentina, Brazil, and India, while the outlook for some oil exporters has strengthened. The balance of risks has shifted further to the downside, including in the short term. The recently announced and anticipated tariff increases by the United States and retaliatory measures by trading partners have increased the likelihood of escalating and sustained trade actions. These could derail the recovery and depress medium-term growth prospects, both through their direct impact on resource allocation and productivity and by raising uncertainty and taking a toll on investment. Financial market conditions remain accommodative for advanced economies—with compressed spreads, stretched valuations in some markets, and low volatility—but this could change rapidly. Possible triggers include rising trade tensions and conflicts, geopolitical concerns, and mounting political uncertainty. Higher inflation readings in the United States, where unemployment is below 4 percent but markets are pricing in a much shallower path of interest rate increases than the one in the projections of the Federal Open Market Committee, could also lead to a sudden reassessment of fundamentals and risks by investors. Tighter financial conditions could potentially cause disruptive portfolio adjustments, sharp exchange rate movements, and further reductions in capital inflows to emerging markets, particularly those with weaker fundamentals or higher political risks.  Avoiding protectionist measures and finding a cooperative solution that promotes continued growth in goods and services trade remain essential to preserve the global expansion. Policies and reforms should aim at sustaining activity, raising medium-term growth, and enhancing its inclusiveness. But with reduced slack and downside risks mounting, many countries need to rebuild fiscal buffers to create policy space for the next downturn and strengthen financial resilience to an environment of possibly higher market volatility.
    • 10月 2018
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 15 10月, 2018
      データセットを選択
      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year. Use this database to find data on national accounts, inflation, unemployment rates, balance of payments, fiscal indicators, trade for countries and country groups (aggregates), and commodity prices whose data are reported by the IMF. Data are available from 1980 to the present, and projections are given for the next two years. Additionally, medium-term projections are available for selected indicators. For some countries, data are incomplete or unavailable for certain years.   Changes to the October 2018 DatabaseArgentina’s consumer prices, which were previously excluded from the group composites because of data constraints, are now included starting from 2017 onward.Data for Aruba are included in the data aggregated for the emerging market and developing economies. It is classified as a member of the Latin America and Caribbean.Egypt’s forecast data from which the nominal exchange rate assumptions are calculated that were previously excluded because the nominal exchange rate was a market-sensitive issue, are now made public.Swaziland is now called Eswatini.Venezuela redenominated its currency on August 20, 2018, by replacing 100,000 bolívares Fuertes (VEF) with 1 bolívar Soberano (VES). Local currency data, including the historical data, for Venezuela are expressed in the new currency beginning with the October 2018 WEO database.
    • 8月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 27 8月, 2014
      データセットを選択
      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.
    • 3月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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.
    • 8月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 26 8月, 2014
      データセットを選択
      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.
    • 8月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 26 8月, 2014
      データセットを選択
      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.
    • 8月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 25 8月, 2014
      データセットを選択
      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.
    • 3月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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.
    • 9月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 11月, 2017
      データセットを選択
      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).
    • 8月 2014
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Pallavi S
      以下でアクセス: 25 8月, 2014
      データセットを選択
      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.
    • 11月 2017
      ソース: U.S. Department of Homeland Security
      アップロード者: Knoema
      以下でアクセス: 21 5月, 2018
      データセットを選択
    • 7月 2015
      ソース: General Directorate of Statistics, Honduras
      アップロード者: Knoema
      以下でアクセス: 17 6月, 2016
      データセットを選択
    • 11月 2017
      ソース: United Nations Conference on Trade and Development
      アップロード者: Knoema
      以下でアクセス: 21 11月, 2017
      データセットを選択
      This table presents most favoured nation (MFN) and effectively applied import tariff rates for major categories of non-agricultural and non-fuel products by individual country (as market economies) and economic grouping (as origins), expressed in various aggregation measures: simple average, weighted average, minimum and maximum rate, etc.
    • 2月 2004
      ソース: General Directorate of Statistics and National Accounts, Equatorial Guinea
      アップロード者: Knoema
      以下でアクセス: 02 6月, 2013
      データセットを選択
    • 1月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2015. For more information, refer to the ILO estimates and projections methodological note.
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 09 10月, 2018
      データセットを選択
      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.
    • 11月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 15 12月, 2017
      データセットを選択
    • 3月 2018
      ソース: Global Trade Alert
      アップロード者: Olga Bikeeva
      以下でアクセス: 12 3月, 2018
      データセットを選択
      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”
    • 2月 2018
      ソース: Heritage Foundation
      アップロード者: Knoema
      以下でアクセス: 23 2月, 2018
      データセットを選択
      Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed
    • 5月 2018
      ソース: Coffee Board of India
      アップロード者: Knoema
      以下でアクセス: 10 8月, 2018
      データセットを選択
    • 3月 2017
      ソース: Reserve Bank of India
      アップロード者: Knoema
      以下でアクセス: 21 12月, 2017
      データセットを選択
      This dataset covers the following public data available at RBI website. 1. Direction of Foreign Trade (in USD $ RS.) Notes: Financial Year 2015-2016 and 2016-2017 is taken as 2016, 2017
    • 6月 2017
      ソース: Ministry of Statistics and Programme Implementation (MOSPI), Government of India
      アップロード者: Knoema
      以下でアクセス: 14 7月, 2017
      データセットを選択
      This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 refered as 2001. Total Imports/exports includes other countries also.
    • 2月 2018
      ソース: Ministry of Statistics and Programme Implementation (MOSPI), Government of India
      アップロード者: Knoema
      以下でアクセス: 25 4月, 2018
      データセットを選択
      Source details: India Tourism Statistics 2017
    • 7月 2018
      ソース: Ministry of Finance, India
      アップロード者: Knoema
      以下でアクセス: 05 9月, 2018
      データセットを選択
      The dataset provides the data on the direction of imports and exports by regions and Countries in Crore rupees and Million U.S, dollars   India's Economic Survey: Direction of Trade, 2017-18
    • 3月 2018
      ソース: Reserve Bank of India
      アップロード者: Knoema
      以下でアクセス: 12 7月, 2018
      データセットを選択
      Note : Data for 2016-17 are revised and for 2017-18 are provisional.
    • 6月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 30 6月, 2018
      データセットを選択
      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 9月, 2018
      データセットを選択
      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).
    • 8月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 03 9月, 2018
      データセットを選択
      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).
    • 9月 2018
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 01 10月, 2018
      データセットを選択
      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • 7月 2016
      ソース: United Nations Industrial Development Organization
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2016
      データセットを選択
      The UNIDO Industrial Statistics Database at the 4-digit level of ISIC (INDSTAT4) contains highly disaggregated data on the manufacturing sector for the period 1990 onwards. Comparability of data over time and across the countries has been the main priority of developing and updating this database. INDSTAT4 offers a unique possibility of in-depth analysis of the structural transformation of economies over time. The database contains seven principle indicators of industrial statistics. The data are arranged at the 3- and 4-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Revision 3 and 4 pertaining to the manufacturing, which comprises more than 150 manufacturing sectors and sub-sectors.   Note: Value added and Employnment indicators were extracted from   http://www.unido.org/Data1/IndStatBrief/E_Employement_Wages_and_Employment_Share_per_Sector.cfm?print=no&ttype=C4&Country=ALB&sortBy=&sortDir=&Group=
    • 8月 2018
      ソース: United Nations Industrial Development Organization
      アップロード者: Knoema
      以下でアクセス: 20 8月, 2018
      データセットを選択
      Industrial Statistics Database, INDSTAT 2 2018, ISIC Revision 3 (Demo)
    • 1月 2014
      ソース: Ministry of Commerce and Industry, Saudi Arabia
      アップロード者: Knoema
      以下でアクセス: 16 1月, 2014
      データセットを選択
      Industry and Trade Statistics of Saudi Arabia, 2011
    • 10月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2018
      データセットを選択
      The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. For more information, refer to the ILO estimates and projections methodological note.
    • 2月 2018
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2018
      データセットを選択
      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).
    • 3月 2016
      ソース: UNESCO Institute for Statistics
      アップロード者: Knoema
      以下でアクセス: 30 3月, 2016
      データセットを選択
    • 10月 2010
      ソース: Japan Apparel Technology and Research Association
      アップロード者: Knoema
      以下でアクセス: 31 8月, 2016
      データセットを選択
      The Japan Apparel Industrial Association
    • 12月 2017
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 08 3月, 2018
      データセットを選択
      Data source(s) used The inland fisheries data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies. Data on marine landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.   Data are collected in tonnes and national currency at current values. For analytical purposes and data comparisons, value data are converted and published also in US dollars. Exchange rates are average yearly spot rates, taken from the dataset OECD Economic Outlook: Statistics and Projections. Data reported in this dataset are expressed in tonnes, in units of national currency and in US dollars. Data are recorded on a landed weight basis, i.e. the mass (or weight) of a product at the time of landing, regardless of the state in which is landed (i.e. whole, gutted, filleted, meal, etc.). For exceptions, please see the individual notes. Statistical population The statistical population is the set of countries participating in the work of the COFI, i.e. OECD members, excluding landlocked countries, with some exceptions (Czech Republic and Slovakia are included, Israel is not). The group includes also the following partner countries: Argentina, China, Colombia, Costa Rica, Indonesia, Lithuania, Peru, Philippines, Thailand and Chinese Taipei. In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at OECD Ratification Dates. Key statistical concept Inland fisheries include catches of fish, crustaceans, molluscs and other aquatic invertebrates (and animals), residues and seaweeds in lakes, rivers, ponds, inland canals and other land-locked water bodies. For the purpose of this questionnaire the boundary between inland and marine areas at the river mouth is left to the discretion of the national authority. Production from aquaculture installations should not be reported on this form. However, catches from fisheries that are managed by stocking should be included. The methodological reference document for fisheries and aquaculture statistics is the CWP Handbook of Fishery Statistics.
    • 1月 2018
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2018
      データセットを選択
      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.
    • 10月 2016
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 06 4月, 2017
      データセットを選択
      These data are part of a larger database, hosted on a different website, which includes both quantitative and qualitative data, as well as graphs.
    • 9月 2018
      ソース: International Aluminium Institute
      アップロード者: Knoema
      以下でアクセス: 21 9月, 2018
      データセットを選択
      Definitions: Primary aluminium is aluminium tapped from electrolytic cells or pots during the electrolytic reduction of metallurgical alumina (aluminium oxide). It thus excludes alloying additives and recycled aluminium. Primary aluminium production is defined as the quantity of primary aluminium produced in a defined period. It is the quantity of molten or liquid metal tapped from the pots and that is weighed before transfer to a holding furnace or before further processing. Source of Data: The data included in this IAI Statistical Report have been derived from voluntary reports of IAI Member and non-Member companies. Sources outside the industry or estimates are used for "Estimated Unreported" and "China" regions only. Data Aggregation: The IAI Statistical System is designed to meet the requirement that, in general, individual company data be included only within appropriately aggregated totals by declared geographical areas and not be reported separately. The declared geographical areas and the primary aluminium producing countries which fall in those areas are as follows: Africa: Cameroon, Egypt (12/1975-Present), Ghana, Mozambique (7/2000-Present), Nigeria (10/1997-Present), South Africa Asia (ex China): Azerbaijan*, Bahrain (1/1973-12/2009), India, Indonesia* (1/1973-12/1978), Indonesia (1/1979-Present), Iran (1/1973-6/1987), Iran*, Iran* (7/1987-12/1991), Iran (1/1992-12/1996), Japan, Kazakhstan (10/2007-Present), Malaysia*, North Korea*, Oman (6/2008-12/2009), Qatar (11/2009-12/2009), South Korea (1/1973-12/1992), Tadzhikistan* (1/1973-12/1996), Tadzhikistan (1/1997-Present), Taiwan (1/1973-4/1982), Turkey* (1/1975-2/1976), Turkey (3/1976-Present), United Arab Emirates (11/1979-12/2009) China: China (01/1999-present) Gulf Cooperation Council (GCC): Bahrain (1/2010-Present), Oman (1/2010-Present), Qatar (1/2010-Present), Saudi Arabia (1/2013), United Arab Emirates (1/2010-Present) North America: Canada, United States of America South America: Argentina, Brazil, Mexico (1/1973-12/2003), Suriname (1/1973-7/2001), Venezuela West Europe: Austria (1/1973-10/1992), France, Germany, Greece, Iceland, Italy, Netherlands, Norway, Spain, Sweden, Switzerland (1/1973-4/2006), United Kingdom East & Central Europe: Bosnia and Herzegovina* (1/1981-Present), Croatia*, German Democratic Republic* (1/1973-8/1990), Hungary* (1/1973-6/1991), Hungary (7/1991-1/2006), Hungary (7/1991-1/2006), Montenegro (6/2006-Present), Poland*, Romania*, Russian Federation* (1/1973-8/1994), Russian Federation (9/1994-Present), Serbia and Montenegro* (1/1973-12/1996), Serbia and Montenegro (1/1997-5/2006), Slovakia* (1/1975-12/1995), Slovakia (1/1996-Present), Slovenia* (1/1973-12/1995), Slovenia (1/1996-Present), Ukraine* (1/1973-12/1995), Ukraine (1/1996-Present) Oceania: Australia, New Zealand An asterisk indicates that primary aluminium production data were not reported to the IAI by the company or companies producing primary aluminium solely within that country; these constitute "Estimated Unreported", where data is available.
    • 7月 2014
      ソース: Lesotho Tourism Development Corporation
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2016
      データセットを選択
      This report is a regular publication of the Lesotho Tourism Development Corporation that aims to provide trends for international arrivals to Lesotho and presents the analysis of international tourists’ arrivals to Lesotho.The analysis of International visitor arrivals to Lesotho includes; total number of arrivals to Lesotho recorded from 10 ports in a year and month, purpose of visit, mode of transport to Lesotho, how long visitors stay and country of residence. The data presented in this report was gathered from 10 ports of entry namely, Caledon’spoort, Moshoeshoe I International Airport, Vanroyeen’s Gate, Maputsoe Bridge, Sani Pass Border Post, Peka Bridge, Tele Bridge, Makhaleng Bridge, Qacha’s Nek Bridge and Maseru Bridge.
    • 12月 2015
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 05 3月, 2016
      データセットを選択
      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • 6月 2018
      ソース: Federal Reserve Bank of St. Louis
      アップロード者: Knoema
      以下でアクセス: 05 6月, 2018
      データセットを選択
      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2017Dec/international-data-from-fred-monthly-update
    • 9月 2018
      ソース: Federal Reserve Bank of St. Louis
      アップロード者: Knoema
      以下でアクセス: 03 9月, 2018
      データセットを選択
      This dataset contains forecast data from the dataset: https://knoema.com/FREDID2017Dec/international-data-from-fred-monthly-update
    • 6月 2015
      ソース: Barro-Lee
      アップロード者: Knoema
      以下でアクセス: 29 9月, 2015
      データセットを選択
      The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • 10月 2017
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 27 12月, 2017
      データセットを選択
      Focuses on financial flows, trends in external debt, and other major financial indicators for low- and middle-income countries. Includes over 200 time series indicators from 1970 to 2016, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
    • 10月 2018
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 03 10月, 2018
      データセットを選択
    • 7月 2018
      ソース: U.S. Energy Information Administration
      アップロード者: Knoema
      以下でアクセス: 17 9月, 2018
      データセットを選択
      IEO2018 focuses on macroeconomic uncertainty by conducting sensitivity analyses in three IEO regions: China, India, and Africa. These are projected to be three of the fastest growing and most populous regions in the IEO2018 Reference case, and there is significant uncertainty regarding their future economic growth.
    • 8月 2014
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 02 9月, 2015
      データセットを選択
      This data set contains estimates of total and marginal budget shares and income and price elasticities for nine broad consumption groups and eight food subgroups across 144 countries. Total and marginal budget shares and income and price elasticities are estimated using 2005 International Comparison Program (ICP) data, which is maintained by the ICP Development Data Group of the World Bank
    • 7月 2012
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 17 7月, 2012
      データセットを選択
      Notes: Eurostat Hierarchy: Economy and finance > Balance of payments - International transactions (bop) > Balance of payments of the EU institutions (bop_euins).
    • 12月 2017
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 07 12月, 2017
      データセットを選択
      The ERS International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. Historical data are available for real (inflation-adjusted) gross domestic product (GDP), inflation, population, and real exchange rates from 1969 to the most recent available year, and each variable is projected forward to 2030. These macroeconomic data and projections are a key component of the annually updated USDA agricultural projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.
    • 12月 2017
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 06 2月, 2018
      データセットを選択
      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.
    • 1月 2018
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 16 3月, 2018
      データセットを選択
    • 6月 2018
      ソース: Organisation for Economic Co-operation and Development
      アップロード者: Knoema
      以下でアクセス: 25 7月, 2018
      データセットを選択
      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.