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Profile of Internally Displaced Persons in North-East Nigeria 2018

Nigeria, 2018
Central
Utz Pape, Henry Kwenin
Created on February 14, 2019 Last modified February 14, 2019 Page views 44498 Download 21207 Documentation in PDF Metadata DDI/XML JSON

Identification

Survey ID Number
NGA_2018_IDP_v01_M
Title
Profile of Internally Displaced Persons in North-East Nigeria 2018
Country/Economy
Name Country code
Nigeria NGA
Study type
Other Household Survey
Abstract
The Nigeria IDP Survey was conducted in IDP camps and host communities in the Northeast regions of Nigeria. The survey was used to compile a socio-economic profile of IDPs and host communities to help inform durable solutions to internal displacement. The survey contains information on poverty, education, service access, employment and livelihoods, as well as perceptions. The data combines detailed household information with displacement-specific information including drivers of displacement, access to resettlement mechanisms, and return intentions. It also includes comprehensive information on assets and consumption, to allow estimation of poverty based on the Rapid Consumption methodology.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, individual

Scope

Notes
The 2018 Profile of Internally Displaced Persons in North-East Nigeria survey covered the following topics:
- Household roster
- Household characteristics
- Food consumption
- Non-food consumption
- Livestock
- Durable goods
- Wellbeing and opinions
- Displacement

Coverage

Geographic Coverage
The survey covered IDPs in camps, IDPs in host communities, and host communities in six states in Northeast Nigeria. The six states are Adamawa, Bauchi, Borno, Gombe, Taraba, and Yobe. The survey thus represents IDPs (in camps and in host communities)) and host communities of Northeast Nigeria.

Producers and sponsors

Primary investigators
Name Affiliation
Utz Pape IBRD
Henry Kwenin International Organization for Migration
Funding Agency/Sponsor
Name Abbreviation
State and Peace Building Fund SPF

Sampling

Sampling Procedure
The Nigeria IDP Survey is a household survey with a multi-stage stratified random sample. Six Northeastern states were covered: Adamawa, Bauchi, Borno, Gombe, Taraba, and Yobe. The sampling frame consisted of a list of wards with IDP household counts in the six states, provided by the International Organization for Migration (IOM) Displacement Tracking Matrix (DTM) 2017.

The sample had 6 strata with each state as a stratum. Each stratum was divided into grids of 150 by 150 meters using GIS technology defining the enumeration areas (EAs). The number of EAs to be selected from each stratum was obtained proportional to the IDP population sizes in each state.
For the IDP sample, the EAs consisted of two types of IDP settlements, which were host community settings and camp settings. A total of 111 EAs across the 6 states were randomly selected proportional to size. Out of these, 77 EAs were host community type EAs and 48 were camp-like EAs.
For the host community sample of 1,500 households, EAs were restricted to the 77 host community type EAs that were selected based on IDPs population numbers, in the absence of residential population estimates at this level. The survey is representative for IDPs and host communities, defining host communities as the non-displaced population living in the EAs with displaced populations.

All the households in the selected EAs were first listed, and 12 IDP households and 12 (or multiples of it) host community households were randomly selected and surveyed per EA, to reach the designated sample size.
Deviations from the Sample Design
Certain adaptations had to be made during the listing and survey period. Households with duplicate names and contact numbers and households outside the cluster boundaries were dropped. A few EAs also had to be dropped from the sampling due to insecurity or – in occasional cases – due to unreachability due to inclement weather over prolonged periods of time. While EAs were initially replaced at the beginning of the survey, new replacements were avoided at the end of the survey duration to avoid extended field work time due to cost implications.
Weighting
The sampling weight is the inverse probability of selection. The selection probability for a household can be decomposed into the selection probability of the EA within the stratum, and the selection probability of the household within the EA. The first-stage probability of selection for the EA is the same for the IDP and host community households. It is equal to the IDP population of the EA divided by the total number of IDPs in the stratum multiplied by the number of selected EAs in the stratum. For IDPs, the second-stage probability of selection is the number of selected IDP households per EA divided by the number of listed IDP households in the EA. For host community households, the second-stage selection probability is the number of host community households selected per EA divided by the number of listed host community households in the EA.

Data Collection

Dates of Data Collection
Start End
2018-06-21 2018-08-25
Data Collection Mode
Computer Assisted Personal Interview [capi]

Questionnaires

Questionnaires
The questionnaire contains modules on Household Member Roster, Household Characteristics, Food Consumption, Non food consumption, Livestock, Durable Goods, Wellbeing and Opinions, and Displacement. The questionnaire is available for download with the dataset.

Data Processing

Data Editing
See accompanying Stata do-files, available under the related materials tab.

Access policy

Contacts
Name Affiliation Email
Utz Pape IBRD upape@worldbank.org
Confidentiality
Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Access conditions
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions: 1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the World Bank Microdata Library. 2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. 3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the World Bank Microdata Library. 4. No attempt will be made to produce links among datasets provided by the World Bank Microdata Library, or among data from the World Bank Microdata Library and other datasets that could identify individuals or organizations. 5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the World Bank Microdata Library will cite the source of data in accordance with the Citation Requirement provided with each dataset.
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download.

Metadata production

DDI Document ID
DDI_NGA_2018_IDP_v01_M
Producers
Name Abbreviation Affiliation Role
Development Economics Data Group DECDG The World Bank Documentation of the DDI
Date of Metadata Production
2019-01-24
DDI Document version
Version 01 (January 2019)

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