Afghanistan

Data Grid Completeness Expand
Affected People
3 Datasets
100% 
Coordination & Context
6 Datasets
80%  20% 
Food Security & Nutrition
3 Datasets
100% 
Geography & Infrastructure
4 Datasets
100% 
Health & Education
2 Datasets
100% 
Population & Socio-economy
2 Datasets
100% 
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
Legend:
Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
  • Updated 4 September 2018 | Dataset date: April 01, 2018-June 30, 2018
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
    900+ Downloads
    This dataset updates: Every month
  • This map illustrates satellite-detected landslide and flood water extent in Peshghor village and surrounding areas in Khenj District, Panjshir Province, Afghanistan as seen on Sentinel-2 satellite imagery, 10 m resolution, collected on 13 July 2018, one day after the disaster happened. The landslides and floodwaters hit villages downstream because of the break-up of the natural banks of the dam. As a result, Peshghor and surrounding villages have been cut off and damages have been reported on structures and buildings. Within the current map extent Saricha primary road is potentially affected by the landslides and the overflow of Panjshir River. Around 198 buildings are located within areas affected by the landslide and 9 within areas affected by the floods. Due to the resolution of the satellite imagery, the extent of landslide and floodwaters may be underestimated and as a consequence, the number of buildings potentially affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Live
  • Updated 8 July 2018 | Dataset date: June 04, 2018-June 21, 2018
    The overall objective of the assessment is to inform the response of the Water, Sanitation and Hygiene (WASH) Cluster for the ongoing dry spell in Afghanistan. The assessment aims at supporting the Cluster to better identify target population groups, priority areas and relevant interventions.
    300+ Downloads
    This dataset updates: Every year
  • Updated 7 July 2018 | Dataset date: March 21, 2016-March 20, 2017
    This tabular dataset provides the Afghanistan population estimation for the Persian calendar year 1395 (corresponding to the Gregorian period 21 March 2016 to 20 March 2017) disaggregated by districts and provincial centres (admin level 3), age, gender, and urban-rural settled populations. The total population of the country in 1395 is estimated to be around 29.1 million, which is inclusive of the 1.5 million nomadic population. This dataset format was created on 15 August 2016 by the Information Management Unit (IMU) of the Office for the Coordination of Humanitarian Affairs (OCHA) Afghanistan. Since the Afghanistan Geodesy and Cartography Head Office (AGCHO) is recognized as the sole authoritative source a for administrative boundaries, the population estimates have also been matched to the administrative names and codes of the AGCHO dataset. The dataset include popluation estimates disaggregated by CSO province and district codes (including Kabul city districts), population estimates disaggreated by AGCHO district codes, and a lookup table that relates CSO, AGCHO and AIMS legacy codes. Note that the 1.5 million nomadic population is NOT included in the province and district population estimates. Estimated population disaggregated by age group and gender is calculated using proportion of the total estimated population falling under each cohort based on 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This data is only available at the province level. The 2015/2016 estimations can be found on https://data.humdata.org/dataset/estimated-population-of-afghanistan-2015-2016
    1700+ Downloads
    This dataset updates: Never
  • Updated 4 July 2018 | Dataset date: May 08, 2018-May 27, 2018
    Afghanistan hard to reach village level KI interviews to capture information on basic service unit boundaries as well as multi sectoral humanitarian needs
    300+ Downloads
    This dataset updates: Every three months
  • Updated 21 June 2018 | Dataset date: June 01, 1970-December 31, 2018
    Worldwide comprehensive metrics for children in the official primary school age range who are not enrolled in either primary or secondary schools.
    2700+ Downloads
    This dataset updates: Every six months
  • Updated 31 May 2018 | Dataset date: January 01, 2018-March 31, 2018
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
    800+ Downloads
    This dataset updates: Every three months
  • Updated 5 February 2018 | Dataset date: October 01, 2017-December 31, 2017
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
    1000+ Downloads
    This dataset updates: Every three months
  • Updated 4 February 2018 | Dataset date: January 01, 2017-December 31, 2017
    Newly displaced population due to conflict between 01 January 2017 and 31 December 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 02 February 2018 and the numbers are expected to change as new assessment figures become available.
    2700+ Downloads
    This dataset updates: Every year
  • Updated 2 January 2018 | Dataset date: January 01, 2017-December 31, 2017
    Number of refugees returning to Afghanistan for the period 1 January 2017 to 31 December 2017 by district of destination and origin.
    1200+ Downloads
    This dataset updates: Never
  • Updated 28 December 2017 | Dataset date: December 28, 2017-December 28, 2017
    Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency (NWA) in 2014 as a result of military operations which left the civilian population of Miranshah and surrounding villages forcibly displaced. As of 30 September 2017, UNHCR has biometrically registered more than 51,000 refugees in Khost province. In 2016, UNHCR verified the registration of almost 36,000 refugees in Paktika province, where access remains a challenge on account of insecurity as anti-government elements (AGEs) control or contest a substantial amount of territory. UNHCR has received unconfirmed reports that Pakistani refugees may be among the civilian casualties resulting from cross-border shelling, and armed conflict between pro-government forces and AGEs in Afghanistan. Cultural barriers also impact on efforts to comprehensively register the refugee population, especially women. Based on focus group discussions and key informants, UNHCR estimates that at least 100,000 refugees from NWA remain in Afghanistan. Some 16,440 refugees receive shelter and other essential services in the Gulan camp in Khost province, while most live alongside Afghan host communities in various urban and rural locations. NWA refugees benefit from the generous hospitality of provincial Afghan government authorities and the general population, due in part to tribal affiliations, as well as a shared understanding of the trauma of forced displacement. During participatory shura meetings, most refugees have stated they are currently unwilling to repatriate to Pakistan, including refugees who have undertaken independent visits to NWA to assess for themselves the conditions of return. UNHCR does not have the necessary permission of the Government of Pakistan to monitor refugee returns in NWA or to support sustainable reintegration. UNHCR Afghanistan, in coordination with other humanitarian agencies, provides targeted assistance to persons with specific needs (PSN) among the NWA refugee population in Khost and Paktika provinces, and implements community-based protection measures to build the resilience of refugees as well as the host population, promoting peaceful co-existence through livelihoods initiatives, shelter, development of knowledge, healthcare, nutrition, WASH projects, and NFI distributions. The primary source of income among refugees is non-agricultural daily-wage labour, while some refugees subsist on remittances from relatives working abroad in other countries. More available here: https://data2.unhcr.org/en/documents/details/60896
    1100+ Downloads
    This dataset updates: Never
  • Updated 7 November 2017 | Dataset date: January 01, 2016-December 31, 2016
    Number of Refugees returning to Afghanistan for the period of 1 January 2016 to 31 December 2016 by district of destination and origin.
    400+ Downloads
    This dataset updates: Every year
  • Updated 4 June 2017 | Dataset date: January 01, 2016-December 30, 2016
    Newly displaced population due to conflict between 01 Jan 2016 and 31 Dec 2016, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 04 June 2017 and the numbers are expected to change as new assessment figures become available.
    2400+ Downloads
    This dataset updates: As needed
  • This report considers present and recent past food security assessments for Afghanistan in the context of hydrology, climate change and conflict. Population comparisons by data source (UN OCHA, LandScan, WorldPop, and Gridded Population of the World) and rainfall anomalies from 2013-2016 accompany the report. The authors, Zainab al Badri, Atia Curtiss, and Zoe Garcia, completed their research in partial fulfillment of Public Health coursework in Medical Geography, for Spring 2017, at Drew University. Dr. Lisa Jordan edited the report and supplemented their work with additional spatial data.
    1200+ Downloads
    This dataset updates: Never
  • Updated 28 February 2017 | Dataset date: January 01, 2016-March 01, 2016
    In October, November and December 2016, a comprehensive mixed qualitative verification exercise was undertaken in Afghanistan. A secondary data review of assessment data identifying IDPs displaced between the 1st of January 2014 and 1st of March 2016 allowed an estimate of nationwide prolonged IDP locations and population. Field teams then verified through key informant interviews, data requests and field visits to verify the populations found at each location, and snowballed to widen the geographic coverage. The final dataset presented here is the list of locations verified, with estimated populations.
    600+ Downloads
    This dataset updates: Never
  • Updated 25 November 2015 | Dataset date: March 21, 2015-March 19, 2016
    The population data was sourced from the Central Statistics Organization (CSO) and should be used in accordance with the "Estimated Population of Afghanistan 2015/16" report prepared by the Islamic Republic of Afghanistan CSO. Age and gender disaggregated estimates are calculated based on proportion of population in each cohort in the 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This is an archived version of population projections. The current version can be found on https://data.humdata.org/dataset/afg-est-pop.
    600+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected areas of landslide damage in the village of Ab Barek, Badakshan, Afghanistan. Following heavy rains in the region, a landslide partially buried Ab Barek on 2 May 2014. Using a satellite image acquired 5 May 2014 by the WorldView-2 satellite, UNOSAT delineated the landslide area. In addition, areas of IDPs, relief operations, and water pooling due to the landslide are indicated as of 5 May. The 5 May 2014 image was compared to an image from 7 June 2013 in an attempt to determine how many structures were buried, and a total of 87 such structures were located. However, between 7 June 2013 and the occurrence of the landslide Ab Barek had changed and grown considerably, and thus its possible additional buried structures exist which are not identified in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected flooded areas of Khwajah Du Koh, Jawzjan Province, Afghanistan as seen on WorldView-2 satellite imagery collected 29 April 2014. Heavy rainfall occurred on 23-24 April 2014, flooding a large part of the town. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    This dataset updates: Never
  • This map illustrates potenital satellite-detected inundated areas and water in and north of Sar-E Pol city, Afghanistan. UNOSAT analyzed imagery from the Pleiades satellite collected 1 May 2014 in response to heavy rainfall occurring on 23-24 April 2014. UNOSAT extracted areas of water and inundated soils to indicate likely flood affected lands. This map includes both permanent water bodies, such as streams, and potential flood waters together due to limitations in source data. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    This dataset updates: Never