Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 4, Nigeria, 2025
Nigeria, 2023
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NGA_2023_DIEM_HS_R4_v01_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 4, Nigeria, 2025
DIEM HHS NGA R4 – 2023
| Name | Country code |
|---|---|
| Nigeria | NGA |
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). FAO launched a Round 4, computer-assisted telephone interview survey from 11 February to 1 March 2023 in Nigeria and reached 1418 households. Data collection took place at the beginning of the lean season across five states: Adamawa, Borno, Katsina, Yobe and Zamfara.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring.
Sample survey data [ssd]
Households
Scope
The survey collected information on the following areas:
- HOUSEHOLD: household information
- INCOME SOURCES, SHOCKS: income changes, shocks experienced by households
- CROP PRODUCTION: crops planted, area planted, area harvested, crop production difficulties
- CROP MARKETING: crop sale difficulties, crop sale price
- LIVESTOCK PRODUCTION: types of livestock present on holding, number of livestock, livestock production difficulties
- LIVESTOCK MARKETING: livestock sale, livestock sale difficulties, livestock sale price
- FISHERIES PRODUCTION: fish activity, comparison of fish production
- FISHERIES MARKETING: fish sale, fish sale difficulties, fish sale price
- FOOD SECURITY AND CONSUMPTION: food consumption, food utilization, comping strategies
- NEEDS ASSISTANCE: open questions on the needs for assistance
Coverage
National coverage
Entire population.
Producers and sponsors
| Name |
|---|
| Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, Office of Emergencies and Resilience |
| Name | Affiliation | Role |
|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | Data processing and analysis |
| Name | Abbreviation |
|---|---|
| European Union | EU |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Resilience Activities | SFERA |
Sampling
Surveys are designed based on country-specific needs, objectives, and constraints. They aim to achieve a 10 percent margin of error, a 95 percent confidence level, administrative-level granularity, and sufficient sample sizes for key target populations, including agricultural households.
Five states were included in the sample: Adamawa, Borno, Katsina, Yobe, and Zamfara. The sample comprises panel respondents, with additional respondents recruited through Random Digit Dialing (RDD) to meet target sample sizes where needed. Panel respondents were randomly selected from either Round 2 Face-to-Face (R2 F2F) surveys or Round 3 CATI-RDD surveys. Quotas were set to reflect the expected proportion of agricultural households in the population, based on state-level agricultural population estimates from WFP’s Essential Needs and Nutrition Assessment (ENNA), conducted in northeastern and northwestern Nigeria (excluding Internally Displaced Persons) in February 2021.
To correct potential biases introduced during sampling and ensure that survey results are representative, a multi-step weighting approach was applied:
- Base Weights: Regional base weights were first calculated at the first administrative level (ADM1) to reflect the probability of selection within each state. These base weights adjust for differences in sample sizes across regions and ensure proportional representation.
- Adjustment for Agricultural Households: Given the focus on agricultural households, the base weights were further adjusted using the estimated proportion of agricultural households at the ADM1 level. This adjustment accounts for the over- or under-representation of agricultural households in the sample relative to their expected distribution in each state.
- Post-Stratification Weights: Due to the lack of reliable post-stratification variables at the ADM1 level, national-level (ADM0) benchmarks were used for post-stratification. Specifically, access to flush toilets at the ADM0 level was applied. This variable was chosen as a proxy to align the sample more closely with the broader population in terms of socioeconomic status and living standards.
Survey instrument
A link to the questionnaire has been provided in the downloads tab.
Data collection
| Start | End |
|---|---|
| 2023-02-11 | 2023-03-01 |
- Computer Assisted Telephone Interview [cati]
Data processing
The datasets have been edited and processed for analysis by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub at the Office of Emergencies and Resilience, with some dashboards and visualizations produced. For more information, see https://data-in-emergencies.fao.org/pages/countries.
STATISTICAL DISCLOSURE CONTROL (SDC)
The dataset was anonymized by the Food and Agriculture Organization of the United Nations, Data in Emergencies (DIEM) Hub and reviewed by the Statistics Division, using Statistical Disclosure methods in accordance with FAO Corporate Statistical Disclosure Control Protocol. All direct identifiers have been removed prior to data submission. For more information, see https://openknowledge.fao.org/server/api/core/bitstreams/833ee200-0484-4f87-8f5c-b3fed4a3722b/content.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | https://data-in-emergencies.fao.org/ | [email protected] |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| 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 micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- 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;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
FAO. 2025. Data in Emergencies Monitoring Household Survey - Nigeria, Round 4, 2023. data-in-emergencies.fao.org. Dataset downloaded from microdata.fao.org.
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Data in Emergencies Hub, Office of Emergencies and Resilience | Food and Agriculture Organization of the United Nations | [email protected] | https://data-in-emergencies.fao.org/ |
Metadata production
DDI_NGA_2023_DIEM_HS_R4_v01_M_v01_A_ESS_FAO
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Data in Emergencies Hub, 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 adapted for FAM |