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Mexique

  • Président :Andrés Manuel López Obrador
  • Président du Sénat:Martí Batres Guadarrama
  • Capitale:Mexico City (Distrito Federal)
  • Langues: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)
  • Gouvernement
  • Bureau de statistique national
  • Population, personnes:126 190 788 (2018)
  • Surface en km2:1 943 950
  • PIB par habitant, US$:9 698 (2018)
  • PIB, milliards US$ en cours:1 223,8 (2018)
  • Indice de GINI:No data
  • Classement Facilité à faire des affaires:54

Banking

Tous les ensembles de données:  C D F G I L P R S T
  • C
    • septembre 2019
      Source : National Bureau of Statistics, Nigeria
      Téléchargé par : Knoema
      Accès le : 17 septembre, 2019
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      Capital Importation into Nigeria
    • novembre 2019
      Source : Bank for International Settlements
      Téléchargé par : Knoema
      Accès le : 18 novembre, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • août 2019
      Source : Bank for International Settlements
      Téléchargé par : Sandeep Reddy
      Accès le : 26 août, 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
    • octobre 2019
      Source : Bank for International Settlements
      Téléchargé par : Knoema
      Accès le : 28 octobre, 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
    • septembre 2019
      Source : Bank for International Settlements
      Téléchargé par : Abhilash Devadiga
      Accès le : 23 septembre, 2019
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      Data cited at : https://www.bis.org/statistics/index.htm
    • octobre 2019
      Source : Federal Financial Institutions Examination Council
      Téléchargé par : Knoema
      Accès le : 23 octobre, 2019
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      Reports - Statistical Releases E.16 Country Exposure Lending Survey and Country Exposure Information Report
    • novembre 2019
      Source : Food and Agriculture Organization
      Téléchargé par : Knoema
      Accès le : 17 novembre, 2019
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      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
  • D
  • F
    • juillet 2019
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 02 juillet, 2019
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      National Accounts - Volume IIIb - Financial Balance Sheets - Stocks, which record the stocks of financial assets and liabilities by institutional sectors, at the end of the accounting period, and are presented in two tables: Balance sheets for financial assets and liabilities, consolidated and Balance sheets for financial assets and liabilities, non consolidated.
    • octobre 2019
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 17 octobre, 2019
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      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • juin 2019
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 04 juin, 2019
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      National Accounts - Volume IIIa - Financial Accounts - Flows, which record, by type of financial instruments, the financial transactions between institutional sectors, and are presented in two tables: Financial accounts, consolidated and Financial accounts, non-consolidated.
  • G
    • octobre 2018
      Source : World Bank
      Téléchargé par : Knoema
      Accès le : 14 novembre, 2018
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      Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.  The dataset help us to know about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.
    • octobre 2019
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 24 octobre, 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
    • juillet 2019
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 18 juillet, 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.
    • juillet 2019
      Source : Organisation for Economic Co-operation and Development
      Téléchargé par : Knoema
      Accès le : 05 juillet, 2019
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      Bank profitability statistics are based on financial statements of banks in each Member country and are presented in the standard OECD framework. Although the objective is to include all institutions which conduct ordinary banking business, namely institutions which primarily take deposits from the public and provide finance for a wide range of purposes, the institutional coverage of banks in the statistics available in this database is not the same in each country. Ratios based on various items of the income statements and balance sheets of banks in percentage of some aggregates are also provided to facilitate the analysis of trends in bank profitability of OECD countries.
  • L
  • P
    • novembre 2019
      Source : International Monetary Fund
      Téléchargé par : Knoema
      Accès le : 08 novembre, 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).
  • R
  • S
  • T

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