COD_2023_DIEM-HS-R5_v01_M_v01_A_ESS
Data in Emergencies Monitoring System - Household Survey 2023
Round 5
DIEM-HS-R5 2023
Name | Country code |
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Congo, Dem. Rep. | COD |
Agricultural Survey [ag/oth]
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 were collected through computer-assisted telephone interviews in 11 provinces (Ituri, Kasai, Kasai-Central, Kasai-Oriental, Kwango, North Kivu, North Ubangi, South Kivu, South Ubangi, Tanganyika and Tshopo) out of 26. The sample of 2 716 agricultural and non-agricultural households was selected at random, following a stratified simple random sampling design that has minimal design effect.
For more information, please go to https://data-in emergencies.fao.org/pages/monitoring
Sample survey data [ssd]
Households
[The survey collected information on the following areas:
National coverage
Name | Affiliation |
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DIEM Team, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations |
Name | Affiliation | Role |
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Data in Emergencies Hub | Food and Agriculture Organization of the United Nations | Data processing and analysis |
Name |
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United States Agency for International Development (USAID) |
European Union (EU) |
FAO’s Special Fund for Emergency and Rehabilitation (SFERA) |
Data were collected through computer-assisted telephone interviews in 11 provinces (Ituri, Kasai, Kasai-Central, Kasai-Oriental, Kwango, North Kivu, North Ubangi, South Kivu, South Ubangi, Tanganyika and Tshopo) out of 26. The sample of 2 716 agricultural and non-agricultural households was selected randomly, following a stratified simple random sampling design that has minimal design effect.
Surveys are designed based on country-specific needs, objectives, and constraints. They aim to achieve a 10% margin of error, a 95% confidence level, administrative-level granularity, and sufficient sample sizes for key target populations, including agricultural households.
Weights were calculated based on population size and a wealth indicator (access to toilets) to ensure that the results were representative at the administrative 1 level.
A link to the questionnaire has been provided in the documentations tab.
The dataset was anonymized using Statistical Disclosure methods by the Data in Emergencies Hub team and reviewed by the Statistics Division of FAO. All direct identifiers have been removed prior to data submission.
Start | End |
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2023-02-23 | 2023-03-31 |
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.
Name | Affiliation | URL | |
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Needs Assessment Team - Office of Emergencies and Resilience (DIEM Team) | Food and Agriculture Organization | https://data-in-emergencies.fao.org/ | emergency-needs-assessments@fao.org |
Confidentiality declaration text |
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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:
FAO. 2023. Data in Emergencies Monitoring Household Survey - Democratic Republic of the Congo, Round 5, 2023. 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.
2023, FAO
Name | Affiliation | URL | |
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Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | emergency-needs-assessments@fao.org | https://data-in-emergencies.fao.org/ |
DDI_COD_2023_DIEM-HS-R5_v01_M_v01_A_ESS_FAO
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
DIEM Team, Office of Emergencies and Resilience | OER | Food and Agriculture Organization of the United Nations | Metadata producer |
Statistics Division | ESS | Food and Agriculture Organization of the United Nations | Metadata producer |
Development Data Group | DECDG | The World Bank | Metadata adapted for World Bank Microdata Library |
Identical to a metadata (COD_2023_DIEM-HS-R5_v01_EN_M_v01_A_ESS) published on FAO microdata repository (https://microdata.fao.org/index.php/catalog). Some of the metadata fields have been edited.