Cunene

  • Capital:Ondjiva
  • Language:Portuguese, Kimbundu, Umbundu, and Kikongo
  • Province Website
  • Land area, sq. km:77,213 (2014)
  • Population, persons:965,288 (2014)
  • Population density, person per Sq.km:12.50 (2014)
  • Birth Registration (%):31.5 (2012)
  • Preschool Education (%):5.9 (2012)
  • Child Labor (%):45.2 (2012)
  • Literacy (%):60.7 (2012)
  • Housing (%):97.6 (2012)
  • Electricity Network:21.1 (2012)
  • Malaria (%):15.6 (2012)

قارن
All datasets: C E G I K P W
  • C
    • نيسان 2018
      المصدر: The United States President's Emergency Plan for AIDS Relief
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 آب, 2018
      تحديد مجموعة بيانات
      Operating unit-level results for 2016 and prior years represent aggregated totals. For 2015 and 2016, results are available at the subnational level. For 2014 results and prior, the data can only be viewed and explored in aggregate country or regional form. General patterns can be explored for all results, allowing the investigation of trends within and among different operating units. Some variation exists between indicator versions from PEPFAR during 2004-2010, 2011-2014, and 2015-2016. More detail regarding these differences can be found in the indicator reference documents and in reference materials attached to this dashboard.
  • E
  • G
    • كانون الثاني 2025
      المصدر: The Global Data Lab
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 كانون الثاني, 2025
      تحديد مجموعة بيانات
      Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, Version 4.4.1Smits, J. GDL Area Database. Sub-national development indicators for research and policy making.Smits GDL Working Paper 16-101 v44.pdf Smits GDL Working Paper 16-101 v44.docx
  • I
  • K
  • P
    • أيار 2023
      المصدر: African Postharvest Losses Information System
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 أيار, 2023
      تحديد مجموعة بيانات
      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
  • W
    • أيلول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    
    • أيلول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/