AFG_2022_DIEM_HS_R5_v01_EN_M_v01_A_OCS
Data in Emergencies (DIEM) Monitoring System – Household Survey – Round 5, Afghanistan, 2022
Name | Country code |
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Afghanistan | AFG |
Agricultural Survey [ag/oth]
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data was collected between the 23 July and 26th of August 2022. The survey targeted the provinces of: Badakhshan, Badghis, Balkh, Bamyan, Daykundi, Farah, Faryab, Ghazni, Ghor, Hilmand, Hirat, Jawzjan, Kabul, Kandahar, Khost, Kunar, Kunduz, Maidan Wardak, Nangarhar, Nimroz, Nuristan, Paktika, Parwan, Samangan and Takhar. This fifth-round survey reached a random sample of 6 019 households in 25 provinces.
Sample survey data [ssd]
Households
The survey collected information on the following areas:
National Coverage
Name |
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Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience |
Name | Affiliation | Role |
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Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | Data processing and analysis |
Name | Abbreviation | Role |
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United States Agency for International Development | USAID | Funding |
European Union | EU | Funding |
FAO’s Special Fund for Emergency and Rehabilitation | SFERA | Funding |
This fifth-round survey reached a random sample of 6 019 households in 25 provinces, representative at administrative level 1. The survey targeted the provinces of: Badakhshan, Badghis, Balkh, Bamyan, Daykundi, Farah, Faryab, Ghazni, Ghor, Hilmand, Hirat, Jawzjan, Kabul, Kandahar, Khost, Kunar, Kunduz, Maidan Wardak, Nangarhar, Nimroz, Nuristan, Paktika, Parwan, Samangan and Takhar. The targeted households were randomly selected using two-step cluster sampling and probability proportional to size. Rural households were surveyed face-to-face to monitor the impacts of shocks on livelihoods and food security.
Data were weighted by demographics and a wealth proxy (type of toilet). Sampling weights were computed to account for the disproportionate probabilities of the selection of the population per administrative level 1. Population figures at administrative level 1, the proportion of agricultural households at administrative level 1. The wealth proxy (type of toilet) was used for sampling weights.
Start | End |
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2022-07-23 | 2022-08-26 |
The datasets have been edited and processed for analysis by the Needs Assessment team at the Office of Emergencies and Resilience, FAO, with some dashboards and visualizations produced. For more information, see https://data-in-emergencies.fao.org/pages/countries.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
The use of the dataset should be referenced in any publication, using the following citation:
FAO. 2023. Data in Emergencies Monitoring Household Survey - Afghanistan, Round 5, 2022. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Name | Affiliation | URL | |
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Needs Assessment Team - Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
DDI_AFG_2022_DIEM_HS_R5_v01_EN_M_v01_A_OCS_FAO
Name | Abbreviation | Affiliation | Role |
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Data in Emergencies Hub, Office of Emergencies and Resilience | OER | Food and Agriculture Organization of the United Nations | Metadata producer |
Office of Chief Statistician | OCS | Food and Agriculture Organization of the United Nations | Metadata adapted for FAM |
AFG_2022_DIEM_HS_R5_v01_EN_M_v01_A_OCS_v01