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  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 1981-August 20, 2024 ... More
    Modified [?]: 23 August 2024
    Dataset Added on HDX [?]: 13 December 2022
    This dataset updates: Every two weeks
    This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level
    This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2024-July 17, 2024 ... More
    Modified [?]: 28 July 2024
    Confirmed [?]: 31 July 2024
    Dataset Added on HDX [?]: 8 April 2024
    This dataset updates: As needed
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 1700+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-November 30, 2021 ... More
    Modified [?]: 24 April 2022
    Dataset Added on HDX [?]: 27 January 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Afghanistan - Conflict Induced Displacements 2016-2022
    Newly displaced population due to conflict between 01 January 2021 and 30 November 2021, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 24 April 2022 and the numbers are expected to change as new assessment figures become available.
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-August 24, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
    Live list of active aid activities for Afghanistan shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from https://d-portal.org Definitions for the geographical-precision codes are available at https://iatistandard.org/en/iati-standard/203/codelists/geographicalprecision/
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 26 May 2023
    Dataset Added on HDX [?]: 16 March 2023
    This dataset updates: Never
    HRP 2022 response monitoring data. This data – produced by OCHA on behalf of the humanitarian community in Afghanistan – provides an analysis of the drivers of needs and an overview of the resources required to support people targeted for assistance. Furthermore, it provides an account of the humanitarian system’s collective achievements. Humanitarian Action also serves as the publication platform for planning, monitoring and financial tracking data managed in HPC. tools and the Financial Tracking Service (FTS).
  • 6500+ Downloads
    Time Period of the Dataset [?]: February 01, 2017-February 29, 2024 ... More
    Modified [?]: 31 May 2024
    Dataset Added on HDX [?]: 15 August 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: IOM - DTM Baseline Assessment
    The dataset contains IDPs, returnees at sub national level.
  • 600+ Downloads
    Time Period of the Dataset [?]: March 21, 2016-March 20, 2017 ... More
    Modified [?]: 7 July 2018
    Dataset Added on HDX [?]: 16 August 2016
    This dataset updates: Never
    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
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-October 29, 2016 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 16 July 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: OCHA Afghanistan - Natural Disaster Incidents
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 16 May 2023
    Dataset Added on HDX [?]: 22 February 2023
    This data is by request only
    This dataset is part of the data series [?]: OCHA Afghanistan - Afghanistan - Humanitarian Access Incidents 2023
    The number of humanitarian incidents between 01 January and 31 December 2019, compiled by OCHA based on number of incidents reported by humanitarian access working group (HAG). The numbers are expected to change as new assessment figures become available.
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 16 May 2023
    Dataset Added on HDX [?]: 22 February 2023
    This data is by request only
    This dataset is part of the data series [?]: OCHA Afghanistan - Afghanistan - Humanitarian Access Incidents 2023
    The number of humanitarian incidents between 01 January and 31 December 2020, compiled by OCHA based on number of incidents reported by humanitarian access working group (HAG). The numbers are expected to change as new assessment figures become available.
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 16 May 2023
    Dataset Added on HDX [?]: 22 February 2023
    This data is by request only
    This dataset is part of the data series [?]: OCHA Afghanistan - Afghanistan - Humanitarian Access Incidents 2023
    The number of humanitarian incidents between 01 January and 31 December 2021, compiled by OCHA based on number of incidents reported by humanitarian access working group (HAG). The numbers are expected to change as new assessment figures become available.
  • 90+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 16 May 2023
    Dataset Added on HDX [?]: 14 June 2022
    This data is by request only
    This dataset is part of the data series [?]: OCHA Afghanistan - Afghanistan - Humanitarian Access Incidents 2023
    The number of humanitarian incidents between 01 January and 31 December 2022, compiled by OCHA based on number of incidents reported by humanitarian access working group (HAG). The numbers are expected to change as new assessment figures become available.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 11, 2017-May 29, 2017 ... More
    Modified [?]: 5 December 2019
    Dataset Added on HDX [?]: 21 February 2021
    This dataset updates: Never
    Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency in 2014 as a result of a joint military offensive by Pakistani government forces against non-state armed groups. As of May 2017, UNHCR has biometrically registered over 50,000 refugees in Khost province and 36,000 refugees in Paktika province, where access remains a challenge. Over 16,000 of these refugees receive shelter and essential services in the Gulan camp in Khost province, while most of the others live among the host population in various urban and rural locations. To better understand the needs of the refugees and the host communities, UNHCR and WFP agreed to conduct a joint assessment of Pakistani refugees in Khost and Paktika. The data collection commenced in May 2017 and covered 2,638 refugee households (2,198 in Khost and 440 in Paktika).
  • Time Period of the Dataset [?]: May 11, 2017-May 29, 2017 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Socioeconomic assessment of Refugees
    Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency in 2014 as a result of a joint military offensive by Pakistani government forces against non-state armed groups. As of May 2017, UNHCR has biometrically registered over 50,000 refugees in Khost province and 36,000 refugees in Paktika province, where access remains a challenge. Over 16,000 of these refugees receive shelter and essential services in the Gulan camp in Khost province, while most of the others live among the host population in various urban and rural locations. To better understand the needs of the refugees and the host communities, UNHCR and WFP agreed to conduct a joint assessment of Pakistani refugees in Khost and Paktika. The data collection commenced in May 2017 and covered 2,638 refugee households (2,198 in Khost and 440 in Paktika).
  • 100+ Downloads
    Time Period of the Dataset [?]: November 03, 2022-November 03, 2022 ... More
    Modified [?]: 30 November 2022
    Dataset Added on HDX [?]: 10 November 2022
    This dataset updates: As needed
    The Winter affected districts mapping showcases the 2021 winter affected areas to aid planning and resource mobilization is critical to get ahead of winter 2022-2023.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 5 January 2023
    Dataset Added on HDX [?]: 29 May 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Afghanistan - Conflict Induced Displacements 2016-2022
    Newly displaced population due to conflict between 01 January 2022 and 31 December 2022, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 05 January 2023 and the numbers are expected to change as new assessment figures become available.
  • 100+ Downloads
    Time Period of the Dataset [?]: February 26, 2024-August 24, 2024 ... More
    Modified [?]: 24 August 2024
    Dataset Added on HDX [?]: 14 December 2023
    This dataset updates: Every day
    Conflict and disaster population movement (flows) data for Afghanistan. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-November 22, 2023 ... More
    Modified [?]: 6 February 2024
    Dataset Added on HDX [?]: 16 April 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Afghanistan - Natural Disaster Incidents
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 100+ Downloads
    Time Period of the Dataset [?]: September 25, 2018-September 25, 2018 ... More
    Modified [?]: 30 September 2019
    Dataset Added on HDX [?]: 30 September 2019
    This dataset updates: As needed
    Afghanistan NUT Cluster Severity Classification by GAM
  • 300+ Downloads
    Time Period of the Dataset [?]: August 09, 2024-August 09, 2024 ... More
    Modified [?]: 9 August 2024
    Dataset Added on HDX [?]: 5 December 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Airports
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source name:fa This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 60+ Downloads
    Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 9 March 2021
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: Global Earthquake Model Foundation - Level 1 Exposure Data
    This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards
  • 500+ Downloads
    Time Period of the Dataset [?]: August 09, 2024-August 09, 2024 ... More
    Modified [?]: 9 August 2024
    Dataset Added on HDX [?]: 5 December 2019
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Populated Places
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') Features may have these attributes: name name:en place population is_in source name:fa This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 70+ Downloads
    Time Period of the Dataset [?]: April 13, 2020-April 13, 2020 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 13 April 2020
    This dataset updates: As needed
    This dataset contains information about COVID-19 health facilities and testing capacity per province in Afghanistan.
  • 10+ Downloads
    Time Period of the Dataset [?]: April 01, 2024-June 30, 2024 ... More
    Modified [?]: 14 August 2024
    Dataset Added on HDX [?]: 14 August 2024
    This dataset updates: Every three months
    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.
  • Time Period of the Dataset [?]: March 13, 2023-December 28, 2023 ... More
    Modified [?]: 30 June 2024
    Dataset Added on HDX [?]: 28 July 2024
    This dataset updates: Never
    Community-Based Protection Monitoring (CBPM) is one of UNHCR’s key tools to identify and monitor key protection issues including violations of rights, displacement, needs of vulnerable populations, access to rights and services, safety, freedom of movement, and occurrences of issues involving Gender Based Violence (GBV), Child Protection (CP), explosive hazards and Housing Land and Property (HLP), in order to identify persons in need of assistance, inform the humanitarian response and advocate for the protection of civilians. CBPM also serves as an evidence-base for design and implementation of protection programs. The methodology used has been jointly developed with the Afghanistan Protection Cluster (APC) and includes standardized data collection tools (HH, KII and FGDs). To monitor and compare the protection environment of girls, boys, men, and women , the data is disaggregated by age and gender that identifies adolescents, youth, and elderly, as well as population groups (i.e., refugees, refugee returnees, undocumented returnees, IDPs, IDP returnees, host communities). The CBPM was conducted between March and December 2023. 10,066 households were interviewed.