NGA_2010_GHSP-W1_v03_M
General Household Survey, Panel 2010-2011
Wave 1
Name | Country code |
---|---|
Nigeria | NGA |
Living Standards Measurement Study [hh/lsms]
This survey was done as part of the LSMS-Integrated Surveys on Agriculture project.
Sample survey data [ssd]
Version 02:
Data revision includes: Ancillary data
(a) geo data: the revised data files include a set of ancillary geo-data files, in which additional, outside data has been linked based on longitude/latitude of households and plots. In addition, the location of enumeration areas (with an offset) is being made available for users who want to link the GHS panel to other geo-referenced data sources. Details on these files are in the Basic Information Document.
(b) non-standard agricultural conversion factors for agricultural harvest quantities have been included.
Version 03:
Additional data includes:
The survey covers a wide range of socio-economic topics which are highlighted in three different questionnaires used for data collection.
AGRICULTURE
COMMUNITY / PRICE
National, the survey covered all the 36 states and Federal Capital Territory (FCT).
Name | Affiliation |
---|---|
National Bureau of Statistics | Federal Republic of Nigeria |
Name | Affiliation | Role |
---|---|---|
The World Bank | Technical assistance | |
Federal Ministry of Agriculture and Rural Development | Federal Republic of Nigeria | Technical assistance |
Federal Ministry of Water Resources | Federal Republic of Nigeria | Technical assistance |
National Food Reserve Agency | Federal Republic of Nigeria | Technical assistance |
Sample Design
The GHS-Panel (Post Planting 2010), like all household surveys in the country, is based on the Master Sample Frame, This Frame is based on the 2006 Housing and Population Census conducted by the National Population Commission (NpopC). The census includes approximately 662,000 enumeration areas (EAs) throughout the country. From the census, the Master Frame was constructed at the local government area (LGA). In 668 LGAs, 30 EAs were scientifically selected. The remaining six LGAs are found in FCT, Abuja. Forty EAs were scientifically selected in each of these 6 LGAs.. This gives a total of 23,280 EAs selected nationally. This is the Master Frame.
From the Master Frame a master sample frame, called the National Integrated Survey of Households 2007/2012 Master Sample Frame (NISH-MSF) was developed. The NISHMSF was constructed by pooling the LGAs in the Master Frame by state. Thereafter, a systematic sample of 200 EAs was selected with equal probability across all LGAs within the state. Furthermore, the NISH EAs in each state were divided into 20 replicates of 10 EAs each. However, the sample EAs for most national household surveys such as the GHS are based on a sub-sample of the NISH-MSF, selected as a combination of replicates from NISH-MSF frame. For the GHS-Panel, the sample is a subset of the EAs selected for the GHS.
Sample Framework
The sample frame includes all thirty-six (36) states of the federation and Federal Capital Territory (FCT), Abuja. Both urban and rural areas were covered and in all, 500 clusters/EAs were canvassed and 5,000 households were interviewed. These samples were proportionally selected in the states such that different states have different samples.
Sample Selection
The GHS Panel Survey used a two stage stratified sample selection process.
First Stage
The Primary Sampling Units (PSUs) were the Enumeration Areas (EAs). These were selected based on probability proportional to size (PPS) of the total EAs in each state and FCT, Abuja and the total households listed in those EAs.
Second Stage
The second stage involved the systematic selection of ten (10) households per EA. This involved obtaining the total number of households listed in a particular EA, and then calculating a Sampling Interval (S.I) by dividing the total households listed by ten (10). The next step is to generate a random start ‘r’ from the table of random numbers which stands as the 1st selection. The second selection is obtained by adding the sampling interval to the random start. For each of the next selections, the sampling interval was added to the value of the previous selection until the 10th selection is obtained. Determination of the sample size at the household level was based on the experience gained from previous rounds of the GHS, in which 10 HHs per EA are usually selected and give robust estimates.
When a sample of households is selected for a survey, these households represent the entire population of the country. To accurately use the data sets, the data must be weighted to reflect the distribution of the full population in the country. A population weight was calculated for the panel households. This weight variable (WGHT) has been included in the household dataset: Section A (SECTA). When applied, this weight will raise the sample households and individuals to national values adjusting for population concentrations in various areas.
The survey consisted of two household questionnaires and one community questionnaire. The first designated by ‘HOUSEHOLD QUESTIONNAIRE’ was administered to all households in the sample. The second questionnaire ‘AGRICULTURE QUESTIONNAIRE was administered to all households engaged in agriculture activities such as crop farming, livestock rearing and other agricultural and related activities. The third Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the community.
Start | End | Cycle |
---|---|---|
2010-08 | 2010-10 | Post-Planting |
2011-02 | 2011-04 | Post-Harvest |
Name |
---|
National Bureau of Statistics |
Supervisors
Among the tasks and responsibilities of the supervisors were:
Fieldwork started on 31st of August, 2010 and was carried out simultaneously throughout the country till mid October, 2010. All three (3) questionnaires; Household, Agriculture and Community were used to collect information on Post-Planting activities. Data were collected by teams comprised of a supervisor, 2-4 interviewer(s) and a data entry operator. The number of team(s) varied from state to state depending on the sample size (number of EAs selected. The teams moved in a roving manner and data collection lasted for between 25 – 35 days.
This survey used concurrent data entry approach. In this method, the fieldwork and data entry were handled by each team assigned to the state. Each team consisted of a field supervisor, 2-4 interviewers and a data entry operator. Immediately after the data were collected in the field by the interviewers and supervisors (the supervisors administered the community questionnaires and collected data on prices), the questionnaires were handed over to the supervisor to be checked and documented. At the end of each day of fieldwork, the questionnaires were then passed to the data entry operator for entry. After the questionnaires were entered, the data entry operator generated an error report which reported issues including out of range values and inconsistencies in the data. The supervisor then checked the report, determined what should be corrected, and decided if the field team needed to revisit the household to obtain additional information. The benefits of this method are that it allows one to:
The CSPro software was used to design the specialized data entry program that was used for the data entry of the questionnaires.
Name | Affiliation | URL |
---|---|---|
National Bureau of Statistics | Federal Republic of Nigeria | http://www.nigerianstat.gov.ng/index.php/ |
To use the data from the 2010-2011 GHS-Panel Survey, the Nigerian National Bureau of Statistics (NBS) asks that you fill in a Data User Agreement. This agreement allows the NBS to know who is using their data and the types of studies being done by users.
By filling out this form, you not only comply with the agreements reached by all parties in implementing the survey, but also help us to keep you informed about any additional information related to the Nigeria 2010-2011 GHS-Panel Survey.
The form states, among other things, that downloading the data obligates you to cite the source of the data and to send copies of papers to the Nigeria National Bureau of Statistics and the LSMS Division of the World Bank. Once you have submitted the form, you will be sent to a page containing links to the data files. If your browser doesn't support forms (or fails to forward you to the data page upon completing the form), contact LSMS mailto:lsms@worldbank.org and you will receive instructions on how to progress to the page with the data files.
Use of the dataset must be acknowledged using a citation which would include:
National Bureau of Statistics, Federal Republic of Nigeria. Nigeria General Household Survey (GHS), Panel 2010, Wave 1 Ref. NGA_2010_GHSP-W1_v03_M. Dataset downloaded from [url] on [date].
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 | |
---|---|---|---|
LSMS Data Manager | The World Bank | lsms@worldbank.org | http://go.worldbank.org/QJVDZDKJ60 |
Information Desk | National Bureau of Statistics | sjichedi@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng/index.php/ |
DDI_NGA_2010_GHSP-W1_v04_M_WB
Name | Affiliation | Role |
---|---|---|
Development Data Group | The World Bank | Documentation of the DDI |
2012-03-21
Version 01: (March 2012)
Version 02: (November 2013)
The revisions include:
Version 03:
Two datasets included in the documentation.
Version 04:
Food items photo included in the documentation.
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