NGA_2022_DIEM-HS-R3_v01_EN_M_v01_A_ESS
Data in Emergencies (DIEM) Monitoring System - Household Survey - Round 3, Nigeria, 2022
| 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 3 household survey in Nigeria on 23 September 2022 to monitor agricultural livelihoods and food security during the beginning of the harvest period. Data collection resumed on 24 October 2022. For the third-round survey in Nigeria, a random sample of 1 398 households was surveyed. The sampling targeted specific states, including Adamawa, Boron, Katsina, Yobe, and Zamfara. The survey aimed to be representative at the state level.
For more information, see https://data-in-emergencies.fao.org/pages/monitoring
Sample survey data [ssd]
Households
The survey collected information on:
National coverage
| 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 | Role |
|---|---|---|
| United States Agency for International Development | USAID | Funding |
| European Union | EU | Funding |
| Food and Agriculture Organization of the United Nations, Special Fund for Emergency and Rehabilitation | SFERA | Funding |
For the third-round survey in Nigeria (NGA R3), a total of 1,398 households were interviewed. The sampling was conducted using a two-step approach. First, specific states were targeted, including Adamawa, Boron, Katsina, Yobe, and Zamfara. Within each state, households were selected randomly to ensure representativeness at the state level.
The weighting procedure, data were weighted using population counts. This weighting procedure accounts for demographic distribution across the selected states, ensuring that the survey results are representative of the population in those areas.
A link to the questionnaire has been provided in the documentation tab.
| Start | End |
|---|---|
| 2022-09-23 | 2022-10-24 |
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 |
|---|---|
| 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:
FAO. 2024. Data in Emergencies Monitoring Household Survey – Nigeria, Round 3, 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 | |
|---|---|---|---|
| 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/ |
DDI_NGA_2022_DIEM-HS-R3_v01_EN_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 |
NGA_2022_DIEM-HS-R3_v01_EN_M_v01_A_ESS