General Household Survey 2006
Nigeria, 2007
Get MicrodataIdentification
NGA_2006_GHS_v01_M
General Household Survey 2006
| Name | Country code |
|---|---|
| Nigeria | NGA |
Other Household Survey [hh/oth]
This General Household Survey (GHS) is the 3rd in the series of Collaborative effort of the National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN) and the Nigeria Communications Commission previously conducted in 2004, 2005 and 2006 being the current one. However the GHS is a regular survey of the National Bureau of Statistics conducted on quarterly basis before the collaboration was initiated.
The General Household Survey is a brainchild of the National Bureau of Statistics (NBS) and is often referred to as regular survey carried out on quarterly basis by the NBS over the years. In recent times, starting from 2004 to be precise, there is a collaborative effort between the NBS and the CBN in 2004 and 2005 and in 2006 the collaboration incorporated Nigerian Communications commission (NCC). The main reason of for conducting the survey was to enable the collaborating agencies fulfil their mandate in the production of current and credible statistics, to monitor and evaluate the status of the economy and the various government programmes such as the National Economic Empowerment and Development Strategy (NEEDS) and the Millennium Development Goals (MDGs).
The collaborative survey also assured the elimination of conflicts in data generated by the different agencies and ensured a reliable, authentic national statistics for the country.
Sample survey data [ssd]
Household
Version
Edited, anonymous dataset for public distribution.
Scope
The scope of the GHS 2006 includes:
Part A: Identification code, Response status, Housing characteristics/amenities and Information communication Technology (ICT).
Part B: Socio-demographic characteristics and Labour force characteristics
Part C: Information about the people in the household who were absent during the period of the survey.
Part D: Female contraceptive only, and children ever born by mothers aged 15 years and above
Part E: Births of children in the last 12 months, and trained birth attendant used during child delivery.
Par F: Immunization of children aged 1 year or less and records of their vaccination
Part G: Child nutrition, exclusive breast feeding and length of breastfeeding.
Part H: Deaths in the last 12 months, and causes of such deaths.
Part I: Health of all members, of the household and health care providers.
Part J: Household enterprises, income and profit made from such activities.
Part K: Household expenditure, such as school fees, medical expenses, housing expenses, remittance, clothing expenses, transport expenses and food expenses.
Coverage
National
Zone, State, Local Government
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics (NBS) | FGN |
| Name | Affiliation | Role |
|---|---|---|
| Central Bank of Nigeria | FGN | Collaboration |
| Nigerian Communication Commission | FGN | Collaboration |
| Name | Role |
|---|---|
| National Bureau of Statistics | Funding |
| Central Bank of Nigeria | Funding |
| Name | Affiliation | Role |
|---|---|---|
| Nigerian Commnications Commision | NCC | Collaborating |
Sampling
The GHS was implemented as a NISH module. Six replicates were studied per State while three replicates were studied in the FCT, Abuja. With a fixed-take of 10 HUs systematically selected per EA, 600 HUs thus were selected for interview per State and 300 for FCT, Abuja. Hence, nationally, a total of 21,900 HUs drawn from the 2,190 cut across the rural and urban sectors.
The sample design for the survey derives from the National Integrated Survey of Household (NISH) developed by National Bureau of Statistics (NBS). The NISH design employed a replicated sampling design that is technique by which many sample (replicates) were selected independently from a population such that each replicate sample represents the population.
Essentially, the NISH sample design is a 2-stage replicated and rotated cluster sample design with Enumeration Areas (EAs) as first stage sampling unit or Primary Sampling Unit (PSU) and Housing Units the second stage sampling units (secondary sampling units). Generally, for each state of the Federation, the NISH Master Sample is made up of 120 EAs drawn in 12 replicates. A replicate consists of 10 EAs.
- Selection Procedures:
The EAs demarcated by the National Population Commission (NpopC) for the 1991 Population Census served as the primary Sample Frame for the design.
- First Stage Selection:
Sixty EAs were selected with equal probability from the list of EAs in each state of the federation and 30 EAs for FCT, Abuja. The selected EAs cuts across rural and urban sectors. The study EAs for the collaborative survey were drawn from replicates 7,8,9,10,11 and 12 of the master sample of each state.
- Second Stage Selection:
In each selected EA, a listing of housing units was carried out. The result provided the frame for the second stage selection. Ten housing units were selected systematically in each EA after the completion of the listing exercise. Thereafter, all the households within the selected HUs were interviewed using GHS questionnaire.
Out of the expected 2,190 EAs, 1,883 were studied.
Out of the 21,900 housing units expected to be covered, 18,826 were canvassed.
Variance Estimate (Jackknife Method)
Estimating variances using the Jackknife method will require forming replicate from the full sample by randomly eliminating one sample cluster [Enumeration Area (EA) at a time from a state containing k EAs, k replicated estimates are formed by eliminating one of these, at a time, and increasing the weight of the remaining (k-1) EAs by a factor of k/(k-1). This process is repeated for each EA.
For a given state or reporting domain, the estimate of the variance of a rate, r, is given by
k
Var(r ) = (Se)2 = 1 S (ri - r)2
k(k-1) i=1
where (Se) is the standard error,
k is the number of EAs in the state or reporting domain.
r is the weighted estimate calculated from the entire sample of EAs in the state or reporting domain.
ri = kr - (k - 1)r(i), where
r(i) is the re-weighted estimate calculated from the reduced sample of k-1 EAs.
To obtain an estimate of the variance at a higher level, say, at the national level, the process is repeated over all states, with k redefined to refer to the total number of EAs (as opposed to the number in the states).
On National basis, 85.98 percent response rate was achieved at EA level while 85.96 percent was achieved at housing units level.
Survey instrument
The questionnaire for the GHS is a structured questionnaire based on household characteristics with some modifications and additions. The House project module is a new addition and some new questions on ICT.
The questionnaires were scaned
This section deals with the characteristics of the socio-economic data of Nigerian population, such as demography, education, employment, health, housing condition, fertility, mortality etc. Demographic factors are both determinants and consequences of economic and social development. It has been shown that the study of demographic variables yield important information on the inventories of human resources that are needed for effective development planning.
Data collection
| Start | End |
|---|---|
| 2007-03-03 | 2007-03-26 |
As earlier stated the data collection exercise involved team made up of 3 interviewers and 1 supervisor. The supervisor assigns EAs to the interviewers and ensure that their job is properly edited at the end of the day.The overall supervisor is the Zonal Controller in each zone and State Officers in each state ensure that all field personnel adhere to the rules and regulations on the field.
Prior to the commencement of data collection, training was conducted at two levels; Training of trainers and zonal level trainings. This training was to equip trainers and trainees with background information about the survey and what is expected of them. Also, training sessions included classroom teaching, demonstration, mock interviews, role playing, field and home exercises. The General Household Survey (GHS) is a household based exercise, in each state of the federation 3 teams were used comprising of 3 supervisors and 12 enumerators. A team was made up of one Supervisor and four Enumerators. Each team covered 20 Enumeration Areas (EA) for a period of 22 days. A pair of enumerators in a team covered 10 EAs.
Data processing
The data editing is in 2 phases namely manual editing before the questionnaires were scanned. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already scanned data.
Data appraisal
The quality control measures were carried out during the survey, essentially to ensure quality of data. There were three levels of supervision involving the supervisors at the first level, CBN staff, NBS State Officers and Zonal Controllers at second level and finally the NBS/NCC Headquarter staff constituting the third level supervision. Field monitoring and quality check exercises were also carried out during the period of data collection as part of the quality control measures.
Access policy
National Bureau of Statistics
National Bureau of Statistics
http://www.nigerianstat.gov.ng/nada/index.php/catalog/22
Cost: None
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (Nbs) | FGN | http://www.nigerianstat.gov.ng | feedback@nigerianstat.gov.ng |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | The confidentiality of the individual respondent is protected by law (Statistical Act 2007). This is published in the Official Gazette of the Federal Republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breaches of confidentiality are outlined in section 28 of the same Act. |
A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
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
Example:
National Bureau of Statistics (NBS). Nigeria - General Household Survey (GHS) 2006, Ref. NGA_2006_GHS_v01_M. Dataset downloaded from [URL] on [date]
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 | |
|---|---|---|---|
| National Bureau of Statistics (Nbs) | FGN | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Metadata production
DDI_NGA_2006_GHS_v01_M
| Name | Role |
|---|---|
| National Bureau of Statistics (NBS) | Documentation of the DDI |
2019-04-25
Metadata version
Version 01 (April 2019) - This is identical to NBS Version 1.1 (DDI-NGA-NBS-GHS-2006-v1.1) produced 2008-09-03, except for
- The ID and DDI ID edited to World Bank Microdata Library ID.
- Revisions to the study description revised to correct typos, and include correct filenames in data dictionary.