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メキシコ

  • 大統領:Andrés Manuel López Obrador
  • 上院議長:Martí Batres Guadarrama
  • 首都:Mexico City (Distrito Federal)
  • 言語:Spanish only 92.7%, Spanish and indigenous languages 5.7%, indigenous only 0.8%, unspecified 0.8% note: indigenous languages include various Mayan, Nahuatl, and other regional languages (2005)
  • 政府
  • 統計局
  • 人口、人:126,190,788 (2018)
  • 面積、平方キロメートル:1,943,950
  • 1人当たりGDP、US $:9,698 (2018)
  • GDP、現在の10億米ドル:1,223.8 (2018)
  • GINI指数:No data
  • ビジネスのしやすさランク:54

GDP

すべてのデータセット:  A B C E G I K L M N O P Q R U W И Р С
  • A
    • 11月 2019
      ソース: European Commission
      アップロード者: Knoema
      以下でアクセス: 18 11月, 2019
      データセットを選択
      AMECO is the annual macro-economic database of the European Commission's Directorate General for Economic and Financial Affairs. The database is indispensable for the analyses and reports of the Directorate General and contains data for EU-28, the euro area, EU Member States, candidate countries and other OECD countries. The database contains data for EU-28, the euro area, EU Member States, candidate countries and other OECD countries (United States, Japan, Canada, Switzerland, Norway, Iceland, Mexico, Korea, Australia and New Zealand). Data for Member States and candidate countries are based on the ESA 2010 system for the last period and on ESA 95 and ESA 79 for the earlier years. Data for other OECD countries are based on the SNA 2008. Discontinuities of the levels of all series have been removed by applying the growth rates of the old series to the levels of the new series.
    • 12月 2018
      ソース: Ministry of Statistics and Programme Implementation, India
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2019
      データセットを選択
      Title: Area / Population And Income Of G-20 Countries   Description: The data refers to for G-20 countries details on area, population, gross domestic product (GDP), domestic product per capita income and purchasing power from 2010 to 2015.    
  • B
    • 2月 2019
      ソース: BP
      アップロード者: Sandeep Reddy
      以下でアクセス: 03 5月, 2019
      データセットを選択
      BP Energy Outlook Charts Data Pack - 2019 edition The Energy Outlook considers different aspects of the energy transition and the key issues and uncertainties these raise.   In all the scenarios considered, world GDP more than doubles by 2040 driven by increasing prosperity in fast-growing developing economies. In the Evolving transition (ET) scenario this improvement in living standards causes energy demand to increase by around a third over the Outlook, driven by India, China and Other Asia which together account for two-thirds of the increase. Despite this increase in energy demand, around two-thirds of the world’s population in 2040 still live in countries where average energy consumption per head is relatively low, highlighting the need for ‘more energy’. Energy consumed within industry and buildings accounts for around three-quarters of the increase in energy demand. Growth in transport demand slows sharply relative to the past, as gains in vehicle efficiency accelerate. The share of passenger vehicle kilometres powered by electricity increases to around 25% by 2040, supported by the growing importance of fully-autonomous cars and shared-mobility services.
  • C
    • 11月 2019
      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 11月, 2019
      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.
    • 1月 2019
      ソース: NYU Stern
      アップロード者: Knoema
      以下でアクセス: 13 2月, 2019
      データセットを選択
      Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186   This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
  • E
    • 11月 2019
      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, 2019
      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 data bases 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 15 May 2019.   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.
    • 7月 2019
      ソース: European Commission
      アップロード者: Knoema
      以下でアクセス: 13 9月, 2019
      データセットを選択
      Dataset includes European Economic economic forecast releases from Winter 2018 through Summer 2019(Interim).
  • G
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 11月, 2019
      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:
    • 11月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 20 11月, 2019
      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 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 02 8月, 2019
      データセットを選択
      Gross Domestic Product
    • 8月 2019
      ソース: United Nations Department of Economic and Social Affairs
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2019
      データセットを選択
    • 10月 2019
      ソース: Economic Policy Uncertainty
      アップロード者: Knoema
      以下でアクセス: 16 10月, 2019
      データセットを選択
      Data cited at: Economic Policy Uncertainty The Global Economic Policy Uncertainty (GEPU) Index is a GDP-weighted average of national EPU indices for 20 countries: Australia, Brazil, Canada, Chile, China, France, Germany, Greece, India, Ireland, Italy, Japan, Mexico, the Netherlands, Russia, South Korea, Spain, Sweden, the United Kingdom, and the United States.
    • 10月 2019
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 18 10月, 2019
      データセットを選択
      Vulnerabilities in a Maturing Credit Cycle The October 2019 Global Financial Stability Report (GFSR) finds that despite significant variability over the past two quarters, financial conditions remain accommodative. As a result, financial vulnerabilities have continued to build in the sovereign, corporate, and non bank financial sectors in several systemically important countries, leading to elevated medium-term risks. The report attempts to provide a comprehensive assessment of these vulnerabilities while focusing specifically on corporate sector debt in advanced economies, the sovereign–financial sector nexus in the euro area, China’s financial imbalances, volatile portfolio flows to emerging markets, and downside risks to the housing market. These vulnerabilities require action by policymakers, including through the clear communication of any changes in their monetary policy outlook, the deployment and expansion of macroprudential tools, the stepping up of measures to repair public and private sector balance sheets, and the strengthening of emerging market resilience to foreign portfolio out flows. Downside Risks to House Prices The study and quantifies house prices at risk, a measure of downside risks to future house price growth—using theory, insights from past analyses, and new statistical techniques applied to 32 advanced and emerging market economies and major cities. The chapter finds that lower house price momentum, overvaluation, excessive credit growth, and tighter financial conditions predict heightened downside risks to house prices up to three years ahead. The measure of house prices at risk helps forecast downside risks to GDP growth and adds to early-warning models for financial crises. Policymakers can use estimates of house prices at risk to complement other surveillance indicators of housing market vulnerabilities and guide macroprudential policy actions aimed at building buffers and reducing vulnerabilities. Downside risks to house prices could also be relevant for monetary policymakers when forming their views on the downside risks to the economic and inflation outlook. Authorities considering measures to manage capital flows might also find such information useful when a surge in capital inflows increases downside risks to house prices and when other policy options are limited.
    • 8月 2019
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 09 8月, 2019
      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.
    • 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
    • 1月 2015
      ソース: University of Groningen, Netherlands
      アップロード者: Knoema
      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."
    • 2月 2019
      ソース: United Nations Conference on Trade and Development
      アップロード者: Sandeep Reddy
      以下でアクセス: 02 4月, 2019
      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.
    • 8月 2019
      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 8月, 2019
      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
  • I
    • 10月 2019
      ソース: International Monetary Fund
      アップロード者: Knoema
      以下でアクセス: 23 10月, 2019
      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.
    • 1月 2018
      ソース: World Economic Forum
      アップロード者: Sandeep Reddy
      以下でアクセス: 07 3月, 2019
      データセットを選択
      Data cited at: World Economic Forum The Inclusive Development Index (IDI) is an annual assessment of 103 countries’ economic performance that measures how countries perform on eleven dimensions of economic progress in addition to GDP. It has 3 pillars; growth and development; inclusion and; intergenerational equity – sustainable stewardship of natural and financial resources. The IDI is a project of the World Economic Forum’s System Initiative on the Future of Economic Progress, which aims to inform and enable sustained and inclusive economic progress through deepened public-private cooperation through thought leadership and analysis, strategic dialogue and concrete cooperation, including by accelerating social impact through corporate action.
    • 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
    • 12月 2018
      ソース: U.S. Department of Agriculture
      アップロード者: Knoema
      以下でアクセス: 26 12月, 2018
      データセットを選択
      The International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. These macroeconomic data and projections are assembled explicitly to serve as underlying assumptions for the annually updated USDA agricultural supply and demand 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.  The projections assume there are no changes in policy and abstract from business cycle effects.  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.
    • 3月 2011
      ソース: Statistics Netherlands
      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
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Investment climate; The Netherlands international comparison https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=71167ENG&_theme=1002 License: http://creativecommons.org/licenses/by/4.0/   This table shows basic figures on population and economic development for sixty countries. It concerns the following elementary indicators: - Gross Domestic Product; - Gross Domestic Product per capita; - Exports of goods and services; - Exports of high-tech goods; - Incoming Foreign Direct Investments; - Value added in services; - Population size. These indicators give an overall picture of the economic size and trade position of a country. The national economic development defines the basic climate within which companies develop their activities. A good economic development ensures a favourable investment climate in which enterprises can function well. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from 1990 Status of the figures: The external source of these data frequently supplies adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table. Changes as of 14 March 2011: Various figures have been updated as a result of updates of the underlying source. Please refer to the original source for information about the changes. When will the latest figures be published? The latest figures are shown in the table as soon as the external source supplies them.
  • K
    • 11月 2019
      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 11月, 2019
      データセットを選択
      The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
  • L
    • 5月 2019
      ソース: International Labour Organization
      アップロード者: Knoema
      以下でアクセス: 24 5月, 2019
      データセットを選択
      Labour share in GDP is the total compensation of employees given as a percent of gross domestic product (a measure of total output), both provided in nominal terms. Total compensation refers to the total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the latter during the accounting period.
    • 8月 2019
      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 8月, 2019
      データセットを選択
      The productivity and income estimates presented in this dataset are mainly based on GDP, population and employment data from the OECD Annual National Accounts. Hours worked are sourced from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. 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, timely data issues may arise and affect individual series and/or individual countries. In particular, annual hours worked estimates from the OECD Employment Outlook are typically updated less frequently (once a year, in the summer) than series of hours worked from the OECD Annual National Accounts.
  • M
    • 5月 2019
      ソース: Food and Agriculture Organization
      アップロード者: Knoema
      以下でアクセス: 27 6月, 2019
      データセットを選択
      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
  • N
    • 10月 2019
      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: 10 10月, 2019
      データセットを選択
      This dataset presents information using an "indicator" approach, focusing on cross-country comparisons. The aim is to make the accounts more accessible and informative, whilst taking the opportunity to present the conceptual underpinning  and comparability issues of each of the indicators presented. The range of indicators is set deliberately wide to reflect the richness of the national accounts dataset and to encourage users of economic statistics to refocus some of the spotlight that is often placed on GDP to other important economic indicators, which may better respond to their needs. Indeed many users themselves have been instrumental in this regard. The report of the Commission on the Measurement of Economic Performance and Social Progress (Stiglitz-Sen-Fitoussi Commission) is but one notable example. That is not to undermine the importance of GDP, which arguably remains the most important measure of total economic activity, but other measures may better reflect other aspects of the economy. For example, net national income may be a more appropriate measure of income available to citizens in countries with large outflows of property income, and household adjusted disposable income per capita may be a better indicator of the material well-being of citizens. But certainly from a data perspective more can and remains to be done. The Stiglitz-Sen-Fitoussi Commission for example highlights the pressing need for the provision, by official statistics institutes, of more detailed information that better describes the distributional aspects of activity, especially income, and the need to build on the national accounts framework to address issues such as non-market services produced by households or leisure. It is hoped that by producing a publication such as this and thereby raising awareness, the momentum from this and other initiatives will be accelerated. The publication itself will pick up new indicators in the future as they become available at the OECD.
    • 12月 2018
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 04 3月, 2019
      データセットを選択
      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • 7月 2018
      ソース: National Institute of Statistics and Geography of Mexico
      アップロード者: Knoema
      以下でアクセス: 31 7月, 2019
      データセットを選択
      National Accounts of Mexico
    • 9月 2018
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 27 6月, 2019
      データセットを選択
      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable. Note: Ethiopia [upto 1993] and Ethiopia [from 1993] merged to get Ethiopia, Similarly Sudan (upto 2011) is combined with Sudan.
    • 10月 2019
      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 10月, 2019
      データセットを選択
    • 9月 2019
      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, 2019
      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.
    • 10月 2019
      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, 2019
      データセットを選択
      Annual National Accounts>General Government Accounts>750. General Government Debt-Maastricht   Unit of measure used: National currency; current prices. Expressed in millions   Statistical population: Government debt as defined in the Maastricht Treaty (Source : Eurostat). Available for Europeans countries only. In the Protocol on the excessive deficit procedure annexed to the Maastricht Treaty, government debt is defined as the debt of the whole general government sector: gross, consolidated and nominal value (face value). It excludes the other accounts payable (AF.7), as well as, if they exist, insurance technical reserve (AF.6).
    • 7月 2019
      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, 2019
      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.
    • 6月 2019
      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 6月, 2019
      データセットを選択
      Statistical population: Its presents output, intermediate consumption and the gross value added and its components, in particular compensation of employees and gross operating surplus and mixed income, broken down by detailed industries according to the classification ISIC rev.4. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. 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.   Note: 6A. Value added and its components by activity, ISIC rev4
    • 6月 2019
      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 6月, 2019
      データセットを選択
      Statistical population: Its presents output, intermediate consumption and the gross value added and its components, in particular compensation of employees and gross operating surplus and mixed income, broken down by detailed industries. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. Data presented in this table will not be updated after summer 2010. Data reported to the OECD by countries in their answers to the annual national accounts questionnaire are now available on theme Industry and Services, Structural Analysis (STAN) Databases. 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.
    • 1月 2018
      ソース: Maddison Project
      アップロード者: Knoema
      以下でアクセス: 03 9月, 2019
      データセットを選択
      The Maddison Project has launched an updated version of the original Maddison dataset in January 2013. The update incorporates much of the latest research in the field, and presents new estimates of economic growth in the world economic between AD 1 and 2010. The new estimates are presented and discussed in Bolt and Van Zanden (2014). The Maddison Project: collaborative research on historical national accounts. The Economic History Review, 67 (3): 627–651. The Maddison Project Database provides information on comparative economic growth and income levels over the very long run. The 2018 version of this database covers 169 countries and the period up to 2016
  • O
  • P
  • Q
    • 9月 2019
      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, 2019
      データセットを選択
      The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire as well as countries' own definitions and classifications. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1960 or whenever available: - GDP expenditure and output approaches (current prices and volume estimates); - GDP income approach (current prices); - Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset or product and by institutional sector; - Disposable income and Real disposable income components; - Saving and net lending (current prices); - Population and Employment (in persons); - Employment by industry (in persons and hours worked); - Compensation of employees (current prices); - Household final consumption expenditure by durability (current prices and volume estimates). The main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely quarterly national accounts for OECD member countries, some non-member countries and some area totals for analytical purposes. All the OECD member countries compile their accounts according to the 2008 SNA. The non-member countries which are still producing national accounts according to the 1993 SNA will switch to the new 2008 SNA over the coming months/years. This will allow the improvement of cross-countries comparability.
  • R
    • 3月 2019
      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 3月, 2019
      データセットを選択
      The reference series used in the publication are: GDP for tax reporting years at market prices, national currency Exchange rates national currency per US dollar Population These data are extracted from various datasets managed by OECD directorates. The figures presented here are those used in creating the latest Revenue Statistics publication. These datasets are updated periodically during the year and therefore the figures in the latest versions may differ from those implied in the publication.
    • 3月 2019
      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 3月, 2019
      データセットを選択
      Reference Series - Latin American Countries Source: OECD National Accounts data for Chile and Mexico and official National Accounts data for the other countries
    • 2月 2019
      ソース: Global Finance Magazine
      アップロード者: Knoema
      以下でアクセス: 02 4月, 2019
      データセットを選択
  • U
  • W
    • 4月 2019
      ソース: International Monetary Fund
      アップロード者: Sandeep Reddy
      以下でアクセス: 26 4月, 2019
      データセットを選択
      The WHD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in the Western Hemisphere. Data for the Western Hemisphere REO are prepared in conjunction and are consistent with the semi-annual World Economic Outlook (WEO) exercises. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • 11月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 12 11月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Economic Monitor Publication: https://datacatalog.worldbank.org/dataset/global-economic-monitor License: http://creativecommons.org/licenses/by/4.0/   The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.
    • 6月 2019
      ソース: World Bank
      アップロード者: Knoema
      以下でアクセス: 12 6月, 2019
      データセットを選択
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Economic Prospects Publication: https://datacatalog.worldbank.org/dataset/global-economic-prospects License: http://creativecommons.org/licenses/by/4.0/   Country-level data on the short-, medium, and long-term outlook for the global economy and the implications for developing countries and poverty reduction. Includes historical trends and growth forecasts.
    • 3月 2019
      ソース: United Nations Department of Economic and Social Affairs
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      Note: World Economic Situation and Prospects (WESP) mid-year update available here: https://knoema.com/WESP2019JUN/world-economic-situation-and-prospects-mid-2019 Economic growth accelerated in more than half the world’s economies in both 2017 and 2018. Developed economies expanded at a steady pace of 2.2 per cent in both years, and growth rates in many countries have risen close to their potential, while unemployment rates in several developed economies have dropped to historical lows. Among the developing economies, the regions of East and South Asia remain on relatively strong growth trajectory, expanding by 5.8 per cent and 5.6 per cent, respectively in 2018. Many commodityexporting countries, notably fuel exporters, are continuing a gradual recovery, although they remain exposed to volatile prices. The impact of the sharp drop in commodity markets in 2014/15 also continues to weigh on fiscal and external balances and has left a legacy of higher levels of debt. Global economic growth remained steady at 3.1 per cent in 2018, as a fiscally induced acceleration in the United States of America offset slower growth in some other large economies. Economic activity at the global level is expected to expand at a solid pace of 3 per cent in 2019, but there are increasing signs that growth may have peaked. The growth in global industrial production and merchandise trade volumes has been tapering since the beginning of 2018, especially in trade-intensive capital and intermediate goods sectors. Leading indicators point to some softening in economic momentum in many countries in 2019, amid escalating trade disputes, risks of financial stress and volatility, and an undercurrent of geopolitical tensions. At the same time, several developed economies are facing capacity constraints, which may weigh on growth in the short term.
    • 3月 2019
      ソース: International Monetary Fund
      アップロード者: Sandeep Reddy
      以下でアクセス: 14 5月, 2019
      データセットを選択
      The IMF’s World Revenue Longitudinal Data set (WoRLD) is a compilation of government tax and non-tax revenues from the IMF’s Government Finance Statistics and World Economic Outlook, and drawing on the OECD Revenue Statistics and Revenue Statistics in Latin American and the Caribbean.
    • 7月 2019
      ソース: World Trade Organization
      アップロード者: Knoema
      以下でアクセス: 12 8月, 2019
      データセットを選択
  • И
    • 9月 2018
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2018
      データセットを選択
      Методологические пояснения: Валовой внутренний продукт (ВВП) по паритету покупательной способности (ППС) - Объем ВВП стран, выраженный в национальной валюте, пересчитан в единую валюту, используя паритет покупательной способности (ППС). Также применяется выражение ВВП в реальном выражении по аналогии с похожей практикой выражения стоимостных показателей в ценах другого года. (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
    • 9月 2018
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2018
      データセットを選択
      Методологические пояснения: Для проведения международных сопоставлений ВВП необходимо иметь данные о стоимостных объемах на уровне первичных групп товаров и услуг. Разбивка национальных расходов ВВП на первичные товарные группы основывается на двух критериях. Во-первых, первичные группы должны быть как можно более однородными, чтобы свести к минимуму разброс отдельных значений цен по странам внутри каждой первичной группы. Во-вторых, необходимо получить достаточно надежные данные о расходах по каждой первичной группе. Проведение сопоставлений осуществляется по международному графику, в котором отмечены последние сроки представления и согласования данных. Все результаты сопоставлений ВВП основываются на информации, представленной странами. Все изменения в национальных данных после окончательных сроков представления в соответствии с графиком работ не использовались в расчетах. (Последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.17, 26, расчетный показатель). Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
  • Р
    • 10月 2018
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2018
      データセットを選択
      Методологические пояснения: Валовой внутренний продукт  (ВВП) на душу населения по паритету покупательной способности (ППС) - ВВП по ППС или в реальном выражении, рассчитанный на душу населения.  (последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.15, расчетный показатель) Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет
  • С
    • 9月 2018
      ソース: Federal State Statistics Service, Russia
      アップロード者: Knoema
      以下でアクセス: 14 12月, 2018
      データセットを選択
      Методологические пояснения: Результаты сопоставлений и их точность зависят от от структуры ВВП. Влияние структуры обусловлено национальной структурой ВВП стран-участниц. Резкие изменения в национальной структуре ВВП приводят к изменению результатов сопоставлений в ту или иную сторону. Например, как было отмечено в сопоставлениях ВВП, большое положительное сальдо чистого экспорта увеличивает показатель ВВП на душу наседления, а отрицательное - существенно уменьшает. (Последняя версия - Международные сопоставления валового внутреннего продукта за 2005 год: Стат. сб./ Росстат. – M., 2008. стр.27,  расчетный показатель). Комментарий: Данные предоставляются на 5-й рабочий день после публикации результатов сопоставлений ОЭСР Ведомство (субъект статистического учета): Федеральная служба государственной статистики Размещение: Информация о результатах международных сопоставлений валового внутреннего продукта, координируемых Организаций экономического сотрудничества и развития (ОЭСР) и Евростатом (за год, принятый за базу сопоставлений) Источники и способ формирования показателя: Расчет

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