Resilience Index Measurement and Analysis 2018
Nigeria, 2018
Get MicrodataIdentification
NGA_2018_RIMA_v01_M_v01_A_OCS
Resilience Index Measurement and Analysis 2018
| Name | Country code |
|---|---|
| Nigeria | NGA |
Other Household Survey [hh/oth]
These data were collected in June 2018 in Borno State, Nigeria, to produce the baseline survey report of the FAO-UN Women-WFP Joint Action Programm, which aims to build the resilience of conflict-affected population and public sector institutions in Borno State in an environmentally-friendly and sustainable way. Specifically, the project funded by the EU Emergency Trust Fund for Africa (EUTF), implemented by FAO, UN Women, WFP and local partners, aims at restoring and promoting sustainable agriculture based livelihoods for food security, employment and nutrition improvement in Borno State. The baseline survey serves to collect indicators to analyse household resilience capacity and food security using the FAO Resilience Measurement Index and Analysis (RIMA) methodology. In total, 2 049 households were interviewed in ten local government areas (LGAs) in Borno State: Bama, Damboa, Jere, Kala Balge, Konduga, Kukawa, Kwaya Kusar, Mafa, Monguno and Ngala. The sampling design considers the situation of food insecurity with reference to the Cadre Harmonisé for identifying risk areas and vulnerable populations; the coverage of the FAO,UN Women-WFP project; and the presence of Internally Displaced Persons (IDPs). The data is used to estimate the household resilience capacity to food insecurity through the FAO Resilience Measurement Index and Analysis (RIMA) methodology.
Sample survey data [ssd]
Households
Scope
The questionnaire contained different modules dealing specifically with household characteristics: household food and non-food consumption, durable assets, education, dwelling and infrastructure, land and land disputes, crop production, livestock production and fishing, livestock products, agricultural inputs and assets, coping strategies, social networks and shocks, subjective resilience, employment and labour, enterprises and trainings, credit facilities and insurance, other income sources and exposure to violence.
Coverage
Regional coverage
(1) Hosts, (2) IDPs and (3) Returnee households.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Food and Agriculture Organization | FAO |
| Name | Affiliation |
|---|---|
| World Food Programme | WFP |
| United Nations Entity for Gender Equality and the Empowerment of Women | UNWomen |
| Name |
|---|
| European Union |
| Food and Agriculture Organization of the United Nations |
| World Food Programme |
| United Nations Entity for Gender Equality and the Empowerment of Women |
Sampling
The data employed in the analysis is ad hoc dataset collected by FAO, UN Women, and WFP during July and August 2018. In total, 2,049 households were interviewed in ten local government areas (LGAs) in Borno State: Bama, Damboa, Jere, Kala Balge, Konduga, Kukawa, Kwaya Kusar, Mafa, Monguno and Ngala. The sampling design considers the situation of food insecurity with reference to Cadre Harmonisé (CH); the coverage of the FAO,UN Women-WFP project; and the presence of Internally Displaced Persons. The CH analysis of March 2017 classified Borno State LGAs as under emergency, crisis and pressure levels of food and nutrition insecurity situation. To reduce the sample dispersion and ensure representative sampling in each area, two randomized sampling procedures were adopted. In the first stage, for each local government area, the villages (primary sampling units) were randomly selected. In the second stage, the random selection of the households was carried out using the probability proportional to size (PPS) to ensure proper sampling representation in these areas. The data was collected for treatment (beneficiaries) and control (non-beneficiaries) groups in each LGA that will not be reached by the joint FAO, UN Women and WFP project.
Survey instrument
The questionnaire administered to the households was developed by the FAO in collaboration with UNICEF, UN Women, and national partners. The questionnaire contained different modules dealing specifically with household characteristics: household food and non-food consumption, durable assets, education, dwelling and infrastructure, land and land disputes, crop production, livestock production and fishing, livestock products, agricultural inputs and assets, coping strategies, social networks and shocks, subjective resilience, employment and labour, enterprises and trainings, credit facilities and insurance, other income sources and exposure to violence.
Data collection
| Start | End |
|---|---|
| 2018-06-25 | 2018-08-11 |
- Computer Assisted Personal Interview [capi]
The data collection was achieved by employing Computer Assisted Personal Interviewing (CAPI) technologies, using digital tablets to conduct the interviews. These technologies present many advantages compared to the traditional paper questionnaire: they reduce the duration of the interview; limit errors during both the interview and data entry phases; and allow for collecting Geographic Information System (GIS) information at the household level.
Data Access
| 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.
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 | |
|---|---|---|
| FAO RIMA TEAM | FAO | fao-rima@fao.org |
Metadata production
DDI_NGA_2018_RIMA_v01_M_v01_A_OCS
| Name | Affiliation | Role |
|---|---|---|
| Office of Chief Statistician | Food and Agriculture Organization | Metadata adapted for FAM |
| Jeanne Pinay | Food and Agriculture Organization | Metadata producer |
| Development Economics Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2023-01-31
Metadata version
Version 01 (January 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (NGA_2018_RIMA_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.