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  • Time Period of the Dataset [?]: July 30, 2022-September 04, 2022 ... More
    Modified [?]: 7 June 2024
    Dataset Added on HDX [?]: 6 February 2023
    This data is by request only
    The Whole of Afghanistan Assessment 2022 (Annual WoAA 2022) is a multi sectoral need assessment, conducted based on in-person household-level interviews. This data consists the results collected from the head of household across the country, and provides data on household`s different sectoral and intersectoral needs such as health, education, nutrition, WASH, food security, shocks, protection, and so on. Data for this assessment was collected using stratified cluster sampling and all findings calculated using this data have a minimum confidence level of 95% and a 5% margin of error at the national-level. Urban and rural findings are representative with a confidence level of 90% and a 9% margin of error at the provincial level. Findings of the refugee population have a minimum confidence level of 90% and a 7% margin of error at the provincial-level.
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    Time Period of the Dataset [?]: April 28, 2021-April 28, 2021 ... More
    Modified [?]: 29 November 2021
    Dataset Added on HDX [?]: 8 May 2019
    This dataset updates: Never
    Summary: This file represents digitization work carried out by UNOSAT and REACH using IOM-NPM drone imagery from April 2021. All fields should be indicative, the 'Type' field indicates whether the structure was thought to be fully build at the time imagery was taken. Limitations: Digitised areas show covered spaces within the camps. These may be latrines, tubewells, bathing stations, shelters or larger structures (many of which are multiple shelter joined under one continuous roof). This is also the case in previous 'shelter' footprints. Bridges are not included in this dataset, but many can be found in the previous 2019 footprint. Imagery is known to have horizontal offset of up to a few meters in some areas but is generally accurate. Work is ongoing by REACH to manually update the footprints to ensure that they accurately represent features in the field. As future iterations and improvements to the footprints are made, additional versions will be released. The work has not yet been fully ground truthed and is based on expert interpretation of UAV imagery. In addition to relying on imagery interpretation, the footprints are bound by the limitations present in the UAV images that were utilized. Credits: Processing UNOSAT / REACH (2021) Drone Imagery Inputs, IOM-NPM (April 2021)