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Mexico

  • President:Andrés Manuel López Obrador
  • President of the Senate:Martí Batres Guadarrama
  • Capital city:Mexico City (Distrito Federal)
  • Languages:Spanish only 92.7%, Spanish and indigenous languages 5.7%, indigenous only 0.8%, unspecified 0.8% note: indigenous languages include various Mayan, Nahuatl, and other regional languages (2005)
  • Government
  • National statistics office
  • Population, persons:126,190,788 (2018)
  • Area, sq km:1,943,950
  • GDP per capita, US$:9,698 (2018)
  • GDP, billion current US$:1,223.8 (2018)
  • GINI index:No data
  • Ease of Doing Business rank:54

Government

All datasets:  E G I N P Q S
  • E
  • G
    • May 2019
      Source: KPMG
      Uploaded by: Knoema
      Accessed On: 28 June, 2019
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      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2019. Provided by KPMG.
    • February 2017
      Source: National Institute of Statistics and Censuses, Costa Rica
      Uploaded by: Knoema
      Accessed On: 30 May, 2017
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      National Accounts of Costa Rica
    • September 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 30 September, 2019
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      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • August 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 09 August, 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.
    • September 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 September, 2019
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      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterpart claim belongs. The counterpart sectors include non-financial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • September 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 September, 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.
  • I
    • July 2018
      Source: International Centre for Tax and Development
      Uploaded by: Knoema
      Accessed On: 23 May, 2019
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      Data cited at: ICTD/UNU-WIDER, ‘Government Revenue Dataset’, 2018, https://www.wider.unu.edu/project/government-revenue-dataset' ICTD Government Revenue Dataset, 2018 A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • April 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 23 April, 2019
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      The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.
    • April 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 12 April, 2019
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    • July 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 05 July, 2019
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      Data on grants by type is not available for all OECD countries. A partial dataset is available for one or more years in the following countries: Austria, Belgium, Canada, Estonia, France, Greece, Iceland, Ireland, Italy, Netherlands, Poland, Portugal. No data on grants by type is available for Germany, Israel, New Zealand, Slovak Republic, United Kingdom, United States. The different types of grants are defined as follows: Earmarked grants An earmarked grant is a grant that is given under the condition that it can only be used for a specific purpose. Non-earmarked grants Non-earmarked grants can be spent as if they were the receiving sub-national government's own (non-earmarked) tax revenues. Mandatory grants Mandatory grants (entitlements) are legal, rules-based obligations for the government that issues the grant. This requires that both the size of the grant and the conditions under which it is given be laid down in a statute or executive decree and that these conditions be both necessary and sufficient. Discretionary grants Discretionary grants, and the conditions under which they are given, are not determined by rules but decided on an ad hoc, discretionary basis. Discretionary grants are often temporary in nature and include, for example, grants for specific infrastructural projects or emergency aid to a disaster area. Matching grants Matching grants are grants designed to complement sub-national contributions. Matching grants are dependent on normative or actual spending for services for which the grants are earmarked or on local revenue collection related to these services. Non-matching grants Non-matching grants are grants not directly linked to any sub-national contribution. Current grants Current grants are grants assumed to be spent on either current or capital expenditures. Capital grants Capital grants are grants assumed to be spent only on capital expenditures.
    • October 2019
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 04 October, 2019
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      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: International Debt Statistics Publication: https://datacatalog.worldbank.org/dataset/international-debt-statistics License: http://creativecommons.org/licenses/by/4.0/   Focuses on financial flows, trends in external debt, and other major financial indicators for low- and middle-income countries. Includes over 200 time series indicators from 1970 to 2016, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
  • N
    • October 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 04 October, 2019
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      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).
    • October 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 08 October, 2019
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      It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
  • P
    • October 2019
      Source: International Monetary Fund
      Uploaded by: Knoema
      Accessed On: 10 October, 2019
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      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
  • Q
    • January 2019
      Source: Quality of Government Institute
      Uploaded by: Knoema
      Accessed On: 01 February, 2019
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      Data cited at: The Quality of Government Institute; Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Richard Svensson. 2018. The Quality of Government Standard Dataset, version Jan18. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGStdJan18   In the QoG Standard TS dataset, data from 1946 to 2018 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).    
  • S
    • June 2019
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 05 June, 2019
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      The subnational government finance dataset presents data on the institutional organisation at local and regional levels as well as on public finance. Financial data cover the general government sector and subnational government subsector (state and local government levels) in the 35 OECD member countries and in the EU. Four main dimensions are presented: expenditure (including investment), revenue, budget balance and debt. The dataset is released as a beta version. Data at country level are derived mainly from the OECD National Accounts harmonised according to the new standards of the System of National Accounts (SNA) 2008, implemented by most OECD countries since December 2014. They are complemented by data from Eurostat, IMF (Australia, Chile), and national statistical institutes for some countries or indicators (in particular, territorial organisation). Data were extracted in February 2017 and are from 2015, unless otherwise specified

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