المكسيك

  • الرئيس:Andres Manuel Lopez Obrador
  • President of the Senate:Olga Sánchez Cordero
  • العاصمة:Mexico City (Distrito Federal)
  • اللغات: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)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:128,927,016 (2024)
  • المساحة ، كم مربع:1,943,950
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:11,497 (2022)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:1,465.9 (2022)
  • مؤشر GINI:43.5 (2022)
  • تصنيف سهولة ممارسة الأعمال:60

All datasets: B N
  • B
    • آذار 2024
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آذار, 2024
      تحديد مجموعة بيانات
      The residential property price statistics collect data from different countries. The BIS has obtained permission from various national data providers, with the assistance of its member central banks, to disseminate these statistics. The topic ‘Property prices: Selected series,’ contains nominal and real quarterly values for 58 countries, both in levels and in growth rates (ie four series per country). Real series are the nominal price series deflated by the consumer price index. The BIS has made the selection based on the Handbook on Residential Property Prices and the experience and metadata of central banks.   Data cited at : https://www.bis.org/statistics/index.htm
  • N
    • كانون الثاني 2024
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 كانون الثاني, 2024
      تحديد مجموعة بيانات
    • كانون الثاني 2024
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 كانون الثاني, 2024
      تحديد مجموعة بيانات
      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector. This dataset includes RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings). This dataset presents, for each country, the RPPI that is available at the most aggregate level at both national and regional levels. It mainly contains quarterly statistics. At regional level, the available RPPIs are classified according to the OECD Territorial Level (TL) classification whenever possible. Regions within the 37 OECD countries are classified on two territorials level reflecting the administrative organisation of countries. The 394 OECD large regions (TL2) represent the first administrative tier of subnational government, for example, the Ontario Province in Canada. The 2258 OECD small regions (TL3) correspond to administrative regions, with the exception of Australia, Canada and the United States. This classification – which, for European countries, is largely consistent with the Eurostat NUTS 2016 – facilitates greater comparability of geographic units at the same territorial level.The dataset called “National and Regional House Price Indices” contains the full list of available RPPIs. The dataset called “Analytical house price indicators” contains, in addition to nominal RPPIs, information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. The datasets “Analytical house price indicators” and “National and Regional House Price Indices – Headline Indicators” do not refer to the same price indices for Brazil, Canada, China, Germany, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “National and Regional House Price Indices”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap.For all other countries, non-seasonally adjusted price indices in both datasets are identical on the overlapping period.