Bangui

  • Capital:Bangui
  • Languages:French and Sangho
  • Population, persons:622 771 (2003)
  • Land area, sq.km.:67,0 (2003)
  • Population Density, persons per Sq.km:9 295,1 (2003)
  • Sex Ratio:102 (1988)

Comparer
Tous les ensembles de données: G I P S
  • G
    • mars 2023
      Source : The Global Data Lab
      Téléchargé par : Knoema
      Accès le : 10 mars, 2024
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      Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, version v4.2.Smits, J. GDL Area Database. Sub-national development indicators for research and policy making. GDL Working Paper 16-101 (2016).
  • I
  • P
    • août 2013
      Source : Institute of Statistics and Economic and Social Studies, Central African Republic
      Téléchargé par : Knoema
      Accès le : 04 août, 2013
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      Population, Central African Republic, 1960 - 2003 Source: RGPH 2003
    • mai 2023
      Source : African Postharvest Losses Information System
      Téléchargé par : Knoema
      Accès le : 12 mai, 2023
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      Postharvest loss profiles (PHL profiles) quantify the expected loss – as a percentage – at each point along the postharvest chain. This loss data is collected by reviewing scientific literature and is broken down by crop, type of farm and climate type (based on the Köppen-Geiger climate classification). These profiles provide percentage loss figures for the various crops throughout the value chain under varying conditions and are updated as new research becomes available."   For complete reference information and definitions, Please visit: https://www.aphlis.net/en/page/20/data-tables#/datatables?year=20&tab=references&metric=prc
  • S
    • août 2013
      Source : Robert S. Strauss Center for International Security and Law
      Téléchargé par : Knoema
      Accès le : 02 février, 2016
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      This dataset provides data on literacy rates, primary and secondary school attendance rates access to improved water and sanitation, household access to electricity, and household ownership of radio and television. Unlike other datasets, notably the World Bank’s World Development Indicators (WDI), this dataset provides data at the subnational level, specifically the first administrative district level. Furthermore, the data is comparable both within and across countries. This subnational level of data allows for assessment of education and household characteristics at a more relevant level for allocation of resources and targeting development interventions.