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Marrocos

  • Rei:Mohammed VI
  • Primeiro Ministro:Saadeddine Othmani
  • Capital:Rabat
  • Línguas:Arabic (official), Berber languages (Tamazight (official), Tachelhit, Tarifit), French (often the language of business, government, and diplomacy)
  • Governo
  • Estatísticas Nacionais Oficias
  • População, pessoas:36.029.138 (2018)
  • Área, km2:446.300
  • PIB per capita, US$:3.238 (2018)
  • PIB, bilhões em US$ atuais:118,5 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:60

Macroeconomic

Todos os conjuntos de dados:  A B C D E F G I L M N O P R S T U W Y
  • A
    • abril 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 11 abril, 2019
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      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 April 2019 Database:  FYR Macedonia is now called North Macedonia. In February 2019, Zimbabwe adopted a new local currency unit, the RTGS dollar, which has become the official unit of account. Efforts are underway to revise and update all national accounts series to the new RTGS dollar. Current data are based on IMF staff estimates of price and exchange rate developments in US (and RTGS) dollars. Staff estimates of US dollar values may differ from authorities’ estimates.
    • junho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 12 junho, 2019
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      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.
    • março 2019
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 22 março, 2019
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      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.
    • outubro 2019
      Fonte: Arab Monetary Fund
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
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    • abril 2018
      Fonte: Arab Monetary Fund
      Carregamento por: Knoema
      Acesso em 14 outubro, 2019
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      Data cited at: Arab Monetary Fund (AMF) Note:For 2017 values are Estimated and 2018 & 2019 values are Forecast. Source: Arab Monetary Fund, Arab Economic Report Database and national, regional and international sources.
  • B
    • maio 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 28 maio, 2019
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      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.
    • abril 2014
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      Acesso em 08 fevereiro, 2016
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      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • abril 2018
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 14 novembro, 2018
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      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • fevereiro 2019
      Fonte: BP
      Carregamento por: Sandeep Reddy
      Acesso em 03 maio, 2019
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      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.
    • março 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 20 março, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
  • C
    • setembro 2019
      Fonte: National Bureau of Statistics, Nigeria
      Carregamento por: Knoema
      Acesso em 17 setembro, 2019
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      Capital Importation into Nigeria
    • maio 2019
      Fonte: World Bank
      Carregamento por: Sandeep Reddy
      Acesso em 14 maio, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Climate Investment Funds – Clean Technology Fund (CTF) Results Data Publication: https://datacatalog.worldbank.org/dataset/2016-climate-investment-funds-%E2%80%93-clean-technology-fund-ctf-results-data License: http://creativecommons.org/licenses/by/4.0/   The results data presented below is based on the portfolio of CTF projects and has been compiled on behalf of the following multilateral development banks: ADB, AFDB, EBRD, IDB, IFC and IBRD. It follows the principles outlined under the Revised CTF Results Framework and includes five core indicators that help determine whether and to what extent the CTF interventions achieve the proposed project/ program outcome objectives involving: (a) Avoided greenhouse gas (GHG) emissions; (b) Increased finance for low carbon development mobilized; (c) Increased supply of renewable energy (RE); (d) Increased access to public transport; (e) Increased energy efficiency. Please note that this is based on 53 out of 55 projects reporting results and does not include (2) CONFIDENTIAL projects. Reporting Year: 2017
    • agosto 2019
      Fonte: Bank for International Settlements
      Carregamento por: Sandeep Reddy
      Acesso em 26 agosto, 2019
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      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • novembro 2019
      Fonte: Bank for International Settlements
      Carregamento por: Knoema
      Acesso em 28 novembro, 2019
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      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • dezembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 05 dezembro, 2019
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      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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • dezembro 2018
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 22 fevereiro, 2019
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      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • janeiro 2019
      Fonte: NYU Stern
      Carregamento por: Knoema
      Acesso em 13 fevereiro, 2019
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      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    
    • abril 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 maio, 2018
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      Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • dezembro 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 18 abril, 2016
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      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.
  • D
  • E
    • dezembro 2012
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 21 maio, 2013
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • agosto 2016
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 02 setembro, 2016
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      The focus of this domain is on the European Neighbourhood Policy (ENP) countries on the southern and eastern shores of the Mediterranean (ENP-South), namely: Algeria (DZ),Egypt (EG),Israel (IL),Jordan (JO),Lebanon (LB),Libya (LY),Morocco (MA),Palestine (PS),Syria (SY) andTunisia (TN). An extensive range of indicators is presented in this domain, including indicators from almost every theme covered by European statistics. Only annual data are published in this domain. The data and their denomination in no way constitute the expression of an opinion by the European Commission on the legal status of a country or territory or on the delimitation of its borders.
    • novembro 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 29 novembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 018 -- Employed persons by occupational group (Classification of Occupations 2010, levels 1 to 2), background country, sex and year 2010-2016 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_018.px License: http://creativecommons.org/licenses/by/4.0/ Hint: Occupational data can be filtered to different hierarchy levels of the classification (Level 1, Level 2) by entering in the Search field, e.g. Level 2. The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14. This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students. Statistics cannot be compiled reliably on employment by under-age people on the basis of register data. Background countries are specified in the table if the number of employed persons in the background country exceeds 99. © Tilastokeskus - Statistics Finland
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). 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.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      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 provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      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. 
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      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.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by 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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by 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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 03 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      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. 
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      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.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      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.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by 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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
      Selecionar Conjunto de dados
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. 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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to males.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to females.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 08 outubro, 2019
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    • agosto 2011
      Fonte: Knoema
      Carregamento por: Knoema
      Selecionar Conjunto de dados
      A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
    • setembro 2013
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 10 outubro, 2013
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      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).
  • F
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 17 abril, 2019
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    • fevereiro 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 26 junho, 2018
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      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
    • março 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 05 março, 2019
      Selecionar Conjunto de dados
    • junho 2018
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2018
      Selecionar Conjunto de dados
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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      The FDI Regulatory Restrictiveness Index (FDI Index) measures statutory restrictions on foreign direct investment across 22 economic sectors. It gauges the restrictiveness of a country’s FDI rules by looking at the four main types of restrictions on FDI: 1) Foreign equity limitations; 2) Discriminatory screening or approval mechanisms; 3) Restrictions on the employment of foreigners as key personnel and 4) Other operational restrictions, e.g. restrictions on branching and on capital repatriation or on land ownership by foreign-owend enterprises. Restrictions are evaluated on a 0 (open) to 1 (closed) scale. The overall restrictiveness index is the average of sectoral scores. The discriminatory nature of measures, i.e. when they apply to foreign investors only, is the central criterion for scoring a measure. State ownership and state monopolies, to the extent they are not discriminatory towards foreigners, are not scored. The FDI Index is not a full measure of a country’s investment climate. A range of other factors come into play, including how FDI rules are implemented. Entry barriers can also arise for other reasons, including state ownership in key sectors. A country’s ability to attract FDI will be affected by others factors such as the size of its market, the extent of its integration with neighbours and even geography among other. Nonetheless, FDI rules can be a critical determinant of a country’s attractiveness to foreign investors.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Data refers to the number of women employed in the industry sector as a percent of total employment in industry.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2019
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      The female share of employment in managerial positions conveys the number of women in management as a percentage of employment in management. Employment in management is defined based on the International Standard Classification of Occupations. Two different measures are presented: one referring to total management (category 1 of ISCO-08 or ISCO-88), and another one referring to senior and middle management only, thus excluding junior management (category 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 and minus category 13 in ISCO-88). This indicator is calculated based on data on employment by sex and occupation. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • dezembro 2018
      Fonte: Statistics Finland
      Carregamento por: Knoema
      Acesso em 17 dezembro, 2018
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      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Population by main type of activity, nationality, occupational status, sex, age and year 2000-2017* http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14. This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students. Statistics cannot be compiled reliably on employment by under-age people on the basis of register data. Citizenships are specified in the table if the number of people in the citizenship group exceeds 99. © Tilastokeskus - Statistics Finland
    • julho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 09 agosto, 2019
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    • agosto 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      Acesso em 14 novembro, 2019
      Selecionar Conjunto de dados
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. 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 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.
    • novembro 2019
      Fonte: Bahrain Open Data Portal
      Carregamento por: Knoema
      Acesso em 19 novembro, 2019
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      The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyses or application
    • setembro 2019
      Fonte: Kuwait Central Statistical Bureau
      Carregamento por: Knoema
      Acesso em 09 outubro, 2019
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    • dezembro 2018
      Fonte: Liberia Institute of Statistics & Geo-Information Services
      Carregamento por: Knoema
      Acesso em 13 agosto, 2019
      Selecionar Conjunto de dados
    • abril 2019
      Fonte: Uganda Bureau of Statistics
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
      Selecionar Conjunto de dados
    • julho 2015
      Fonte: African Development Bank Group
      Carregamento por: Knoema
      Acesso em 06 agosto, 2015
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      The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
  • G
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 05 dezembro, 2019
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      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:
    • novembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2019
      Selecionar Conjunto de dados
      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:
    • agosto 2019
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
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    • setembro 2018
      Fonte: Dual Citizen LLC
      Carregamento por: Knoema
      Acesso em 21 setembro, 2018
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      The performance index of the 2018 GGEI is defined by 20 underlying indicators, each contained within one of the four main dimensions of leadership & climate change, efficiency sectors, markets & investment and the environment.   For more detail on our approach to aggregating these diverse data sources to define the composite indicators in the GGEI and its four main dimensions, as well as our approach to data selection, weighting and other issues associated with creating an index, please visit the Methodology section.
    • dezembro 2019
      Fonte: countryeconomy.com
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2019
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      Global Stock Market Indexes, Daily Update
    • agosto 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 09 agosto, 2019
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      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.
    • novembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 22 novembro, 2019
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      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 non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
    • outubro 2017
      Fonte: World Resources Institute
      Carregamento por: Knoema
      Acesso em 04 setembro, 2018
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    • janeiro 2015
      Fonte: University of Groningen, Netherlands
      Carregamento por: Knoema
      Acesso em 25 fevereiro, 2016
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      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."
    • fevereiro 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Sandeep Reddy
      Acesso em 02 abril, 2019
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      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.
  • I
    • dezembro 2018
      Fonte: Islamic Development Bank
      Carregamento por: Knoema
      Acesso em 08 março, 2019
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    • julho 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 18 julho, 2019
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      The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
    • outubro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 23 outubro, 2019
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      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.
    • fevereiro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 junho, 2019
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      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.
    • janeiro 2018
      Fonte: World Economic Forum
      Carregamento por: Sandeep Reddy
      Acesso em 07 março, 2019
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      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.
    • dezembro 2019
      Fonte: National Institute of Statistics, Italy
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
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      Data source(s) used: : INPSEmployers: Institute amministrative archive of monthly salary statements.Domestic workers: Institute amministrative archive;Agricultural workers: quarterly DMAG models
    • dezembro 2015
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 05 março, 2016
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      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • dezembro 2018
      Fonte: U.S. Department of Agriculture
      Carregamento por: Knoema
      Acesso em 26 dezembro, 2018
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      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.
    • dezembro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 07 dezembro, 2019
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      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
    • junho 2013
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 22 julho, 2013
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      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • setembro 2018
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • dezembro 2015
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 25 março, 2016
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      This dataset provides comprehensive data for investment and capital stock for the general government, private sector and public-private partnerships, across the Fund member countries.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
  • L
    • dezembro 2017
      Fonte: Ministry of Economy, UAE
      Carregamento por: Knoema
      Acesso em 17 maio, 2018
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    • fevereiro 2019
      Fonte: National Administrative Department of Statistics of Colombia
      Carregamento por: Knoema
      Acesso em 27 fevereiro, 2019
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    • fevereiro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 15 fevereiro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. 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 general methodological note and the labour force estimates and projections methodological paper. 
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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 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 general methodological note and the labour force estimates and projections methodological paper.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • setembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 23 setembro, 2019
      Selecionar Conjunto de dados
      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 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 general methodological note and the labour force estimates and projections methodological paper. 
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population. Data by level of education are provided on the highest level of education completed.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The labour force participation rate is the labour force as a percent of the working age population.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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 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 general methodological note and the labour force estimates and projections methodological paper.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of males.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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 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 general methodological note and the labour force estimates and projections methodological paper.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of females.
  • M
    • maio 2017
      Fonte: Islamic Development Bank
      Carregamento por: Knoema
      Acesso em 06 setembro, 2017
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    • maio 2019
      Fonte: Food and Agriculture Organization
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • outubro 2019
      Fonte: General Authority for Statistics, Kingdom of Saudi Arabia
      Carregamento por: Knoema
      Acesso em 13 novembro, 2019
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    • outubro 2019
      Fonte: International Monetary Fund
      Carregamento por: Knoema
      Acesso em 07 novembro, 2019
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      Economic developments in the Middle East, North Africa, Afghanistan, and Pakistan (MENAP) continue to reflect the diversity of conditions prevailing across the region. Most high-income oil exporters, primarily in the GCC, continue to record steady growth and solid economic and financial fundamentals, albeit with medium-term challenges that need to be addressed. In contrast, other countries --Iraq, Libya, Syria -- mired in conflicts with not just humanitarian but also economic consequences. And yet other countries, mostly oil importers, are making continued but uneven progress in advancing their economic agenda, often in tandem with political transitions and amidst difficult social conditions. In most of these countries, without extensive economic and structural reforms, economic prospects for the medium term remain insufficient to reduce high unemployment and improve living standards. Economic activity in the Caucasus and Central Asia (CCA) region is weakening, mainly because of the near-term slowdown and rising regional tensions affecting Russia, a key trading partner and sources of remittance and investment inflows, as well as weaker domestic demand in a number of CCA countries. Near-term risks are to the downside and tied to the fortunes of large trading partners. Policies need to focus on bolstering economic stability and, where needed, short-term support to ailing economic growth. In addition, a new model for high, sustained, diversified, and inclusive growth is needed to set the direction for economic policies for the next decade.
    • abril 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 maio, 2019
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      Migration and Remittances Fact book provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. 
  • N
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries according to the classification ISIC rev.4. 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. 2005). 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.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents fixed assets by activity according to the classification ISIC rev.3 and by type of product and 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. In national currency, in current prices and constant prices (national base year 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.
    • dezembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 04 março, 2019
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      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • setembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 27 junho, 2019
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      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.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      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.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      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.
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 04 outubro, 2019
      Selecionar Conjunto de dados
      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).
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 23 julho, 2019
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      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.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      Annual National Accounts>Detailed Tables and Simplified Accounts>7A. Labour input by activity, ISIC rev4   Unit of measure used: In persons, full-time equivalents, jobs and hours.   Statistical population: It presents employment, 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.
    • setembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 24 setembro, 2019
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      It presents population data and employment by main activity. It includes national concept data for economically active population, unemployed persons, total employment, employees and self-employed, as well as domestic concept data for total employment, employees and self-employed. The domestic concept data are available broken down by main activity. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire.
    • junho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 21 junho, 2019
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      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
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 19 novembro, 2019
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    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
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    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
      Selecionar Conjunto de dados
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 dezembro, 2019
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      This indicator shows the percentage change of the CPI between a month and the same month of the previous year. In cases where the period of reference is a quarter, data refers to the percentage change from the same quarter of the previous year.
    • janeiro 2018
      Fonte: Maddison Project
      Carregamento por: Knoema
      Acesso em 03 setembro, 2019
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      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
    • novembro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 novembro, 2019
      Selecionar Conjunto de dados
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
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      This OECD inventory maps existing cross-country surveys that provide information on the characteristics of people's jobs. The information included in this inventory covers international surveys conducted since the early 1990s that are based on individuals' self-reported assessment of their current job, for 160 countries over 25 years. Survey questions are grouped into 19 indicators. For each indicator, binary codes (1 and 0) show whether indicators are available or not for the various countries and years. The inventory also provides users with detailed documentation on the questions used in the various surveys for measuring these indicators.
    • outubro 2013
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 29 outubro, 2013
      Selecionar Conjunto de dados
      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
    • junho 2019
      Fonte: Organization of Petroleum Exporting Countries
      Carregamento por: Knoema
      Acesso em 13 junho, 2019
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      The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration and transportation activities. The publication contains key statistical data on oil and natural gas activities in each of OPEC's 14 Member Countries: Algeria, Angola, Ecuador, Equatorial Guinea, Gabon, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications, mainly by geographical region, and covers the major economic areas around the world. This year’s 2018 ASB, which comprises data up to the end of 2017, includes the following important highlights: Total world crude oil production increased sharply in 2018 by 1.213 million barrels/day (m b/d), or 1.6 per cent, as compared to 2017, to reach 75.78m b/d, marking a historical high and the highest annual growth since 2015. OPEC crude oil production declined year-on-year by 415,000 b/d, or 1.3 per cent, while crude production by non-OPEC countries grew by 1.628m b/d, or 3.8 per cent. The largest volumetric gains were for the United States with 1.610m b/d, or 17.2 per cent, Saudi Arabia with 358,000 b/d or 3.6 per cent and Russia with 178,000 b/d or 1.7 per cent In 2018, the top three crude oil producing countries were the United States (10.96m b/d), Russia (10.53m b/d) and Saudi Arabia (10.32m b/d). With an average of 98.73m b/d in 2018, world oil demand grew by 1.5 per cent y-o-y, with the largest increases recorded for Asia and Pacific region (particularly China and India) and North America. Oil demand in Africa and the Middle East fell in 2018 by around 23,000 b/d, as compared to 2017, while Latin America posted an increase following consecutive declines during the previous three years. OECD oil demand grew solidly for the fourth consecutive year in 2018, while oil demand in OPEC Member Countries declined slightly after increasing during 2017. Distillates and gasoline accounted for around 55.0 per cent of 2018 world oil demand with an upward trend. Residual fuel oil requirements were about 7.2 per cent of total oil demand in 2018. OPEC Member Countries exported an average of 24.67m b/d of crude oil in 2018, a slight increase of about 14,000 b/d, or 0.1 per cent, compared to 2017. Following the trend in previous years, the bulk of crude oil from OPEC Member Countries — 15.86m b/d or 64.3 per cent — was exported to the Asia and Pacific region. Considerable volumes of crude oil — about 4.58m b/d — were also exported to Europe in 2018, which, however, represents a decline compared with 4.65m b/d recorded in 2017. North America imported 2.81m b/d of crude oil from OPEC Member Countries, which was about 406,000 b/d, or 12.6 per cent, less than the 2017 volumes. Exports of petroleum products from OPEC Member Countries averaged 4.71m b/d during 2018, up by around 784,000 b/d, or 20.0 per cent, compared to 2017. Imports of petroleum products by OPEC Member Countries stood at 2.62m b/d in 2018, roughly 593,000 b/d, or 29.3 per cent, higher than in 2017. World proven crude oil reserves stood at 1,498 billion barrels (bn b) at the end of 2018, increasing slightly by 0.4 per cent from the level of 1,492bn b recorded at the end of 2017. Proven crude oil reserves in OPEC Member Countries decreased slightly by 0.2 per cent to 1,189bn b at the end of 2018 for the second consecutive year. OPEC Member Countries’ share of total world proven crude oil reserves decreased marginally, from 79.9 per cent at the end of 2017 to 79.4 per cent at the end of 2018. At the end of 2018, world proven natural gas reserves rose by 0.7 per cent to approximately 203.2 trillion standard cubic metres (cu m). The observed increase in natural gas reserves is mainly attributed to North America, Middle East and Africa. Proven natural gas reserves in OPEC Member Countries stood at 72.68 trillion standard cu m at the end of 2018, up 0.6 per cent from the level at the end of 2017. World refinery capacity expanded by 876,000 barrels/calendar day (b/cd) to stand at 99.51m b/cd during 2018. The Asia and Pacific region, particularly China, as well as the Middle East, particularly the Islamic Republic of Iran, contributed the most in terms of refining capacity additions. Refinery capacity in the OECD declined marginally in 2018, as compared to 2017, with capacity expansions in North America being offset by closures in Europe. Globally, refinery throughput surged by 1.6 per cent to reach 84.94m b/d in 2018, with the largest gains in the Asia and Pacific region, North America, Europe and the Middle East. The OPEC Reference Basket averaged $69.78/b in nominal terms during 2018, up from $52.43/b in 2017, an increase of $17.35/b, or 33.1 per cent. The volatility level was $6.59/b, or 9.4 per cent, relative to the yearly average. In real terms, the OPEC Reference Basket stood at $45.81/b during 2018, up from $36.09/b during 2017.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
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      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 02 julho, 2019
      Selecionar Conjunto de dados
      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing sector or in the total business sector. The units used to present data in AFA are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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.
  • P
    • abril 2019
      Fonte: University of Groningen, Netherlands
      Carregamento por: Knoema
      Acesso em 23 maio, 2019
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      PWT version 9.1 is a database with information on relative levels of income, output, input and productivity, covering 182 countries between 1950 and 2017.
    • novembro 2018
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 27 dezembro, 2018
      Selecionar Conjunto de dados
      This Dataset presents time series on receipts and payments of personal remittances in millions of dollars. These data are also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP. Personal remittances, as defined in this table, comply with the guidelines of the Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6) (IMF 2009, Appendix 5). They are the sum of two items: (1.) compensation of employees, defined as the income of workers employed in an economy where they are not resident and of residents employed by non-resident employers; (2.) personal (current) transfers, defined as current transfers in kind or in cash, between resident and non-resident households (ibid., A5.5-7). A broader definition of personal remittances would include also capital transfers between resident and non-resident households (ibid., A5.10-13). However, data coverage for capital transfers is much sparser than for the two items above, as compilation of this item by countries is voluntary in the context of the balance of payment statistics. Therefore, capital transfers between resident and non-resident households are reported in this table separately. The main source of personal remittances data is World Bank. In cases of missing data, data from IMF or Economic Intelligence Unit have been imputed. Capital transfers data have been taken from IMF.
    • fevereiro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 06 junho, 2019
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      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). 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 labour force estimates and projections methodological paper. 
    • abril 2019
      Fonte: Inter-American Development Bank
      Carregamento por: Knoema
      Acesso em 26 junho, 2019
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      Public Debt around the World
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The total public sector employment covers all employment of general government sector as defined in System of National Accounts 1993 plus employment of publicly owned enterprises and companies, resident and operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, without regard for the particular type of employment contract. For more information, see the working paper: Statistics on Public Sector Employment: Methodology, Structures and Trends.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Description not available
    • outubro 2018
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 16 outubro, 2018
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      Description not available
  • R
    • novembro 2019
      Fonte: Statistics Norway
      Carregamento por: Knoema
      Acesso em 24 novembro, 2019
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      EU-countries in Eastern Europe are transferred from group 2 to group 1 from the time of membership in the EU. 2003 Q2: 115 Estonia, 124 Latvia, 131 Polen, 136 Litauen, 146 Slovenia, 152 Hungary, 157 Slovakia, 158 Czech Republic 2007 Q1: 113 Bulgaria, 133 Romania. EU-countries in Eastern-Europe are transferred from group2 to group 1 from the time of membership of the EU: 2004 k2: 115 Estonia, 124 Latvia, 131 Poland, 136 Lithuania, 146 Slovenia, 152 Hungary, 157 Slovakia, 158 Czech Republic. 2007 k1: 113 Bulgaria, 133 Romania. Countries transferred from group 2 to group 1 from the time of membership of the EU: 2004 k2: 126 Malta, 500 Cyprus. Asia includes Turkey and Cypus. Figures updated December 5, 2018. There is a break in the time series on registered unemployed among immigrants from Q4 2018, so the figures are not directly comparable with previous years. country background Serbia and Montenegro The name changed from Yugoslavia to Serbia and Montenegro 14 February 2003.
    • abril 2019
      Fonte: Global Finance Magazine
      Carregamento por: Knoema
      Acesso em 28 novembro, 2019
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  • S
  • T
    • julho 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 14 julho, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 18 outubro, 2019
      Selecionar Conjunto de dados
    • outubro 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 15 outubro, 2019
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    • janeiro 2019
      Fonte: International Finance and Macroeconomics (IFM) Milken Institute
      Carregamento por: Sandeep Reddy
      Acesso em 11 fevereiro, 2019
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      The Global Opportunity Index (GOI) 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, everything 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, it tracks countries’ performance on more than 50 variables aggregated in five categories, each measuring an aspect of a country’s attractiveness for investors: (1) its economic performance; (2) the ability for investors to access financial services; (3) the cost of doing business; (4) the level of support its institutions provide to businesses; and (5) the extent to which its institutions, policies, and legal system facilitate international integration.
  • U
    • junho 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 21 agosto, 2019
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      U.S. Direct Investment Abroad: Country and Industry Detail for Selected Items, 2017
    • setembro 2019
      Fonte: U.S. Department of the Treasury
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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    • setembro 2019
      Fonte: U.S. Department of the Treasury
      Carregamento por: Knoema
      Acesso em 25 setembro, 2019
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      U.S. Financial Firms Liabilities: Data by Type, Country and Region
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 30 novembro, 2019
      Selecionar Conjunto de dados
      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
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      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • dezembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 02 dezembro, 2019
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      The unemployment rate conveys the number of persons who are unemployed as a percent of the labour force (i.e., the employed plus the unemployed). The unemployed comprise all persons of working age who were: a) without work during the reference period, i.e. were not in paid employment or self-employment; b) currently available for work, i.e. were available for paid employment or self-employment during the reference period; and c) seeking work, i.e. had taken specific steps in a specified recent period to seek paid employment or self-employment. For further information, see the SDG Indicators Metadata Repository (https://unstats.un.org/sdgs/metadata/) or ILOSTAT's indicator description.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 30 novembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017.
    • novembro 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 dezembro, 2019
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      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force).
    • abril 2019
      Fonte: High Commission for Planning, Morocco
      Carregamento por: Sandeep Reddy
      Acesso em 10 maio, 2019
      Selecionar Conjunto de dados
      The unemployment rate expresses the share of unemployed in the labor force aged 15 and over. This rate is obtained by the ratio of the number of unemployed to that of workers aged 15 years and older
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • junho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 17 junho, 2019
      Selecionar Conjunto de dados
      The unemployment rate is the number of persons who are unemployed as a percent of the total number of employed and unemployed persons (i.e., the labour force). 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 indicator description and the ILO estimates and projections methodological note.
    • fevereiro 2019
      Fonte: UNESCO Institute for Statistics
      Carregamento por: Knoema
      Acesso em 05 setembro, 2019
      Selecionar Conjunto de dados
    • fevereiro 2019
      Fonte: U.S. Department of Commerce, Bureau of Economic Analysis
      Carregamento por: Knoema
      Acesso em 01 abril, 2019
      Selecionar Conjunto de dados
      U.S. Direct Investment Abroad: Balance of Payments and Direct Investment Position 
  • W
    • novembro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 12 novembro, 2019
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      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.
    • junho 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 12 junho, 2019
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      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.
    • outubro 2019
      Fonte: World Bank
      Carregamento por: Knoema
      Acesso em 06 novembro, 2019
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      The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates
    • março 2019
      Fonte: United Nations Department of Economic and Social Affairs
      Carregamento por: Knoema
      Acesso em 22 março, 2019
      Selecionar Conjunto de dados
      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.
    • abril 2019
      Fonte: Organisation for Economic Co-operation and Development
      Carregamento por: Knoema
      Acesso em 12 abril, 2019
      Selecionar Conjunto de dados
      World Indicators of Skills for Employment (WISE) provide a comprehensive system of information relating to skills development. WISE presents countries with data upon which they can design skills policies and programs and monitor their impact on key outcomes, including responsiveness to current and emerging patterns of labour market demand, employability, productivity, health status, gender equity and lifelong learning.The database covers the period from 1990 to the present and consists of five inter-related domains of indicators:Contextual factors drive both the supply of and demand for skills.Skill acquisition covers investments in skills, the stock of human capital and its distribution.Skill requirements measure the demand for skills arising in the labour market.The degree of matching captures how well skills obtained through education and training correspond to the skills required in the labour market.Outcomes reflect the impact of skills on economic performance and employment and social outcomes.
    • junho 2019
      Fonte: United Nations Conference on Trade and Development
      Carregamento por: Knoema
      Acesso em 14 junho, 2019
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      The World Investment Report focuses on trends in foreign direct investment (FDI) worldwide, at the regional and country levels and emerging measures to improve its contribution to development. This Report further focuses on:Analysis of the trends in FDI during the previous year, with especial emphasis on the development implications.Ranking of the largest transnational corporations in the world.In-depth analysis of a selected topic related to FDI.Policy analysis and recommendations.Statistical annex with data on FDI flows and stocks for 196 economies.
    • março 2019
      Fonte: International Monetary Fund
      Carregamento por: Sandeep Reddy
      Acesso em 14 maio, 2019
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      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.
  • Y
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of youth, which should be those persons between the ages of 15 and 24 years. In practice however, some countries applies different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of male youth, which should be males between the ages of 15 and 24 years, inclusive. In practice, however, some countries apply different definitions of youth.
    • julho 2019
      Fonte: International Labour Organization
      Carregamento por: Knoema
      Acesso em 01 agosto, 2019
      Selecionar Conjunto de dados
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of female youth, which should be females between the ages of 15 and 24 years. In practice however, some countries applies different definitions of youth.

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