Nugaal

  • Capital:Garoowe
  • Languages:Somali and Arabic
  • Population (hundreds):1993 (2015)
  • Area in Sq.km:50000 (2013)
  • Population Density, persons per Sq.km:0.0399 (2013)
  • Rainfall (mm):No data
  • Number of Schools:74 (2012)
  • Total Primary Schools:74 (2012)
  • Number of Teachers:812 (2012)
  • Total Enrolment:20007 (2012)
  • Total Enrolment, Boys:10937 (2012)
  • Total Enrolment, Girls:9070 (2012)

比較
すべてのデータセット: E G I P R S
  • E
  • G
    • 3月 2023
      ソース: The Global Data Lab
      アップロード者: Knoema
      以下でアクセス: 10 3月, 2024
      データセットを選択
      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
    • 12月 1996
      ソース: United Nations Development Programme
      アップロード者: Knoema
      以下でアクセス: 29 4月, 2013
      データセットを選択
      Population Estimates of Somalia, 1997
    • 5月 2023
      ソース: African Postharvest Losses Information System
      アップロード者: Knoema
      以下でアクセス: 12 5月, 2023
      データセットを選択
      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
  • R
  • S
    • 8月 2013
      ソース: Robert S. Strauss Center for International Security and Law
      アップロード者: Knoema
      以下でアクセス: 02 2月, 2016
      データセットを選択
      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.