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Somalia

  • President:Mohamed Abdullahi Mohamed
  • Prime Minister:Hassan Ali Khayre
  • Capital city:Mogadishu
  • Languages:Somali (official), Arabic (official, according to the Transitional Federal Charter), Italian, English
  • Government
  • National statistics office
  • Population, persons:14,742,523 (2017)
  • Area, sq km:627,340 (2017)
  • GDP per capita, US$:500 (2017)
  • GDP, billion current US$:7.4 (2017)
  • GINI index:No data
  • Ease of Doing Business rank:190 (2017)
All datasets: F L N
  • F
    • July 2015
      Source: African Development Bank Group
      Uploaded by: Knoema
      Accessed On: 06 August, 2015
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      The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
  • L
    • May 2018
      Source: World Bank
      Uploaded by: Knoema
      Accessed On: 03 August, 2018
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      The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
  • N
    • March 2016
      Source: African Development Bank Group
      Uploaded by: Knoema
      Accessed On: 24 October, 2016
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      3The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries. Between them, these countries account for 85 percent of the sub-Saharan Africa population, GDP, and infrastructure inflows. The countries included in the initial study were: Benin, Burkina Faso, Cameroon, Cape Verde, Chad, Côte d’Ivoire, Democratic Republic of Congo, Ethiopia, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mozambique, Namibia, Niger, Nigeria, Rwanda, South Africa, Senegal, Sudan, Tanzania, Uganda, and Zambia. The study also represents an unprecedented effort to collect detailed economic and technical data on African infrastructure in relation to the fiscal costs of each of the sectors, future sector investment needs, and sector performance indicators. As a result, it has been possible for the first time to portray the magnitude of the continent’s infrastructure challenges and to provide detailed and substantiated estimates on spending needs, funding gaps, and the potential efficiency dividends to be derived from policy reforms.

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