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  • 4700+ Downloads
    Updated April 14, 2019 | Dataset date: Jul 17, 2014
    This dataset updates: Every year
    Admin COD datasets for IRQ endorsed by IMWG and CO on October 2015; see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin Level 0 (International), Admin Level 1 (Governorate), Admin Level 2 (District).
  • 500+ Downloads
    Updated February 28, 2019 | Dataset date: May 2, 2018
    This dataset updates: Every year
    Venezuela administrative level 0 (country); 1 (state / estado; Capital District / Distrito Capital; and the Federal Dependencies / Dependencias Federales); 2 (municpality / municipio), and 3 (parish / parroquia) population statistics and gazeteer These population statistics .csv tables are suitable for database or GIS linkage to the shapefiles available in the 'Venezuela administrative level 0, 1, 2, and 3 population statistics and gazeteer' HDX dataset.
  • 600+ Downloads
    Updated February 28, 2019 | Dataset date: May 2, 2018
    This dataset updates: Every year
    Venezuela administrative level 0 (country); 1 (state / estado; Capital District / Distrito Capital; and the Federal Dependencies / Dependencias Federales); 2 (municpality / municipio), and 3 (parish / parroquia) boundaries and gazeteer These shapefiles are suitable for database or GIS linkage to the population statistics .csv files available in the Venezuela administrative level 0, 1, 2, and 3 population statistics and gazeteer HDX dataset.
  • 500+ Downloads
    Updated February 19, 2019 | Dataset date: Feb 1, 2019
    This dataset updates: Every year
    Acquired and P-coded by OCHA in 2019 The administrative level 0 and 1 shapefiles and geodatabase feature classes are suitable for database or GIS linkage to the Bhutan administrative level 0-1 population statistics CSV tables.
  • 2100+ Downloads
    Updated January 14, 2019 | Dataset date: Feb 24, 2015
    This dataset updates: Every year
    This spatial dataset provides the delimitation and composition of the Papua New Guinea administrative level 0 (country), 1 (province, the Autonomous Region of Bougainville, and the National Capital District), 2 (district), and 3 (local government area) boundary polygons, and the level 1 and 2 boundary lines. This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office. Updated 2018 05 04 These population statistics .csv tables are suitable for database or GIS linkage to the shapefiles available in the 'Papua New Guinea administrative level 0, 1, 2, and 3 population statistics and gazeteer' HDX dataset.
  • 800+ Downloads
    Updated January 14, 2019 | Dataset date: Mar 5, 2018
    This dataset updates: Every year
    This dataset provides the sex disaggregated population statistics of the Papua New Guinea administrative level 0 (country), 1 (province, the Autonomous Region of Bougainville, and the National Capital District), 2 (district), and 3 (local government area) boundaries. These population statistics .csv tables are suitable for database or GIS linkage to the shapefiles available in the 'Papua New Guinea administrative level 0, 1, 2, and 3 boundaries and gazeteer' HDX dataset.
  • 600+ Downloads
    Updated May 3, 2018 | Dataset date: May 4, 2011
    This dataset updates: Never
    updated by SIMAC (UNSOS doing the verification) in 2016
  • 1100+ Downloads
    Updated May 2, 2018 | Dataset date: May 24, 2017
    This dataset updates: Every year
    The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data