Collines

  • Capital:Dassa-Zoume
  • Languages:French
  • Population (persons):899465 (2018)
  • Area in sq.km:13931 (2018)
  • Population Density, person /Sq.km:64.6 (2018)
  • Life Expectancy at Birth (years):55.74 (2002)
  • Total Fertility Rate (children per woman):4.7 (2012)
  • Average household size (persons):5.6 (2013)
  • Primary Education:106891 (2006)
  • Secondary Education:35305 (2006)
  • Child Mortality (per 1000 live biths):33 (2012)
  • Crude Birth Rate:44.09 (2002)
  • Crude Death Rate:13.93 (2002)
  • Doctors per 10000 Inhabitants:0.20 (2010)
  • Nurse per 10000 Inhabitants:1.40 (2010)
  • Malaria (per 1000 People):108.2 (2006)
  • Incidence of Poverty (%):46.1 (2011)

तुलना
All datasets: A B E G H I J M N P S T
  • A
    • मार्च 2015
      Source: Organisation for Economic Co-operation and Development
      Uploaded by: Knoema
      Accessed On: 10 अगस्त, 2017
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      Data is available for the 17 countries covered by the SWAC/OECD (Benin, Burkina Faso, Cabo Verde, Chad, Cote d'Ivoire, The Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Sierra Leone and Togo).   Agglomerated population: Population of urban agglomerations above 10 000 inhabitants.
  • B
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    • मई 2022
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 09 मई, 2022
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    • फरवरी 2016
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 26 अप्रैल, 2016
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      Publication: http://www.insae-bj.org/?file=files/publications/RGPH4/Cahier_VillageRGPH4_2013.pdf
  • I
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    • अगस्त 2018
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 21 सितम्बर, 2020
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    • अक्तूबर 2007
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 22 मई, 2013
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    • मई 2023
      Source: African Postharvest Losses Information System
      Uploaded by: Knoema
      Accessed On: 12 मई, 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
    • जुलाई 2020
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 04 जनवरी, 2021
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  • S
    • अक्तूबर 2018
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 11 जुलाई, 2019
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      Data cited at: https://benin.opendataforafrica.org/esyetae it is the coverage of teaching hours carried out by permanent agents and contract agents of the State in public secondary schools of General Secondary Education Secondary Education Coverage of hours at General Secondary Education  
    • अक्तूबर 2018
      Source: National Institute of Statistics and Economic Analysis, Benin
      Uploaded by: Knoema
      Accessed On: 07 फरवरी, 2019
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      Data cited at: https://benin.opendataforafrica.org/ilwpvig This dataset gives information on several indicators of the Sports and Leisure sectors in Benin.
    • अगस्त 2013
      Source: Robert S. Strauss Center for International Security and Law
      Uploaded by: Knoema
      Accessed On: 02 फरवरी, 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.
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