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General Household Survey 2009

Nigeria, 2010
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Reference ID
NGA_2009_GHS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
Page views
39312
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA_2009_GHS_v01_M

    Title

    General Household Survey 2009

    Subtitle

    Fifth Round

    Translated Title

    No translation

    Country
    Name Country code
    Nigeria NGA
    Study type

    Other Household Survey [hh/oth]

    Series Information

    The National Bureau of Statistics (NBS) in collaboration with the Central Bank of Nigeria (CBN) and the Nigeria Communication Commission (NCC) in 2010 conducted a survey on the socio-economic activities in Nigeria for the year 2009. There is a long history of synergy in statistical project between NBS (formerly FOS) and CBN. It started with the computation of Annual Gross Domestic Product (GDP), the Consumer Price Index (CPI) and Survey of Informal Sector in Nigeria.

    The National Agricultural Exportable Crops Survey was conducted by both organisations in the years 2004, 2005, 2006, 2007 and 2008. The collaborative survey on Socio-economic activities in Nigeria between NBS and CBN started in 2004, and continued till 2007 when the National Communication Commission (NCC) joined. The collaboration continued in 2008 and 2009 till the current year 2010 in which the survey is conducted for the 2009 socio-economic activities.

    Abstract

    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, 2007and 2008, the collaboration incorporated Nigerian Communications commission (NCC).

    The purpose of the surveys or collaboration include among others:
    (i) To conduct multipurpose surveys to generate social and economic data series for 2009 and the first quarter of 2010

    (ii) To enable NBS/CBN/NCC fulfil their mandate in production of current and credible statistics to monitor and evaluate the State of the economy and the various government programmes such as NEEDS, MDGs and 7 Point Agenda.

    The key objectives of the survey include:

    i) Collection of relevant statistics to facilitate the production of GDP

    ii) Production of data to aid economic analysis on non-oil outputs such as Manufacturing, Agriculture and Services

    iii) Production of State and Local Government Finance Statistics, Producer Price Index (PPI), Oil Sector Statistics and Flow of Funds

    Collection of current socio-economic statistics in Nigeria to assist in policy formulation and aid the monitoring and evaluation of various government programmes at National and sub-national levels

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household Analysis

    Version

    Version Description

    Version 1.0 (February, 2012)

    Version Date

    2010-07-14

    Version Notes

    Version 1.0 (February, 2012) Data used to generate the tables and the report

    Part D Female Contraceptive Prevelance was not related to the other part because the id was missing during printing of the questionnaire

    Scope

    Notes

    The Socio Economic Survey, General Household -2009 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 breast feeding.
    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.

    Topics
    Topic Vocabulary URI
    economic conditions and indicators [1.2] CESSDA http://www.nesstar.org/rdf/common
    economic policy [1.3] CESSDA http://www.nesstar.org/rdf/common
    income, property and investment/saving [1.5] CESSDA http://www.nesstar.org/rdf/common
    rural economics [1.6] CESSDA http://www.nesstar.org/rdf/common
    agricultural, forestry and rural industry [2.1] CESSDA http://www.nesstar.org/rdf/common
    business/industrial management and organisation [2.2] CESSDA http://www.nesstar.org/rdf/common
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    labour relations/conflict [3.3] CESSDA http://www.nesstar.org/rdf/common
    retirement [3.4] CESSDA http://www.nesstar.org/rdf/common
    unemployment [3.5] CESSDA http://www.nesstar.org/rdf/common
    working conditions [3.6] CESSDA http://www.nesstar.org/rdf/common
    basic skills education [6.1] CESSDA http://www.nesstar.org/rdf/common
    compulsory and pre-school education [6.2] CESSDA http://www.nesstar.org/rdf/common
    vocational education [6.7] CESSDA http://www.nesstar.org/rdf/common
    childbearing, family planning and abortion [8.2] CESSDA http://www.nesstar.org/rdf/common
    general health [8.4] CESSDA http://www.nesstar.org/rdf/common
    natural resources and energy [9.3] CESSDA http://www.nesstar.org/rdf/common
    housing [10.1] CESSDA http://www.nesstar.org/rdf/common
    children [12.1] CESSDA http://www.nesstar.org/rdf/common
    family life and marriage [12.5] CESSDA http://www.nesstar.org/rdf/common
    gender and gender roles [12.6] CESSDA http://www.nesstar.org/rdf/common
    social and occupational mobility [12.8] CESSDA http://www.nesstar.org/rdf/common
    community, urban and rural life [13.1] CESSDA http://www.nesstar.org/rdf/common
    specific social services: use and provision [15.3] CESSDA http://www.nesstar.org/rdf/common
    information technology [16.2] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    National Zone State Local Government

    Geographic Unit

    State

    Universe

    Household

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN)
    Producers
    Name Affiliation Role
    Central Bank of Nigeria FGN Collaboration
    Nigerian Communication Commission FGN Collaboration
    Funding Agency/Sponsor
    Name Role
    National Bureau of Statistics Funding
    Central Bank of Nigeria Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Nigerian Commnications Commision NCC Collaborating

    Sampling

    Sampling Procedure

    The General Household Survey and the National Agricultural Sample Survey designs derived from NBS 2007/12 NISH sample design.
    The 2007/12 NISH sample design is a 2-stage, replicated and rotated cluster sample design with Enumeration Areas (EAs) as first stage sampling units or Primary Sampling Units (PSUs) while Households constituted the second stage units (secondary sampling units). The households were the Ultimate Sampling Units for the multi-subject survey.

    Generally, the NISH Master Sample in each State is made up of 200 EAs drawn in 20 replicates. A replicate consists of 10 EAs. Replicates 10-15, subsets of the Master Sample were studied for modules of the NISH.

    The GHS was implemented as a NISH module. three replicates were studied per State including the FCT, Abuja. With a fixed-take of 15 HHs systematically selected per EA, 450 HHs thus were selected for interview per State including the FCT, Abuja. Hence, nationally, a total of 16,650 HHs were drawn from the 1,110 EAs selected for interview for the GHS. The selected EAs (and hence the HHs) cut across the rural and urban sectors.

    Deviations from the Sample Design

    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).

    Response Rate

    At National level ,out of the expected 1,110 EAs, all were covered which showed 100% retrieval rate. (by the table 1.12 on page 196 of the report)

    At household level, out of the 16,650 expected to be covered, 16,355 were canvassed which showed 98% retrieval.

    At sector level (Urban/Rural), 28.4% were recorded for Urban while Rural recorded 71.6%.

    Weighting

    The variable (Hweight ) Household weight is computed and attached to the data file.

    The formula adopted in calculating the design weights for the survey data (sample results) were as follows:
    (i) The probability of selecting an EA within a state was obtained by dividing the total number of EAs sampled in a state by total number of EAs in that particular state. Let this be represented by fj. That is,
    fj = Total Number of EAs sampled in a state
    Total Number of EAs in that particular State

    (ii) Likewise, the probability of selecting an housing unit (HU) within an EA was obtained by dividing the total number of housing units selected in an EA by the total number of housing units (HUs) listed in that particular EA. Let this be represented by fk. That is,
    fk = Total Number of HUs selected in an EA
    Total Number of HUs listed in that particular EA
    Mathematically,
    Design weight = Total number of EAs in a state
    Total number of EAs sampled in that particular state
    X
    Total Number of HUs listed in an EA
    Total Number of HUs selected in that particular EA

    Estimation Procedures:
    Let the probability of selecting the EA be fj and the probability of selecting the housing unit be fk. Then the product f = fjfk = 1 where fj = n and fk = h
    Wj k N H.

    Household Weight (HHWeight )

                      n        h
    Ys =    N   ?    H  ?  X sj k
         n  j=1   h k=1
    
                                 n      h
         =  N   H   ?     ?  X sj k
        n     h    j=1  k=1
    
                                                   n       h
                    =   W s j k       ?       ?   X sj k        (Note: W s j k = N . H )
                         j = 1  k=1                                                    n     h   
    Where:
    ˆ
    Ys  =   Estimate for states

    N = Total Number of EAs in states
    n = Selected number of EAs in states
    H = Total number of Housing Units listed in the jth EA
    h = Selected number of Housing Units in the jth EA.
    Xsj k = Value of the element in the kth housing unit of jth EA in states.
    Wsjk = Weight of the element in kth housing unit of the jth EA in states.

    Survey instrument

    Questionnaires

    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 were divided into eleven parts.

    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.
    Part F: Immunization of children aged 1 year or less and records of their vaccination
    Part G: Child nutrition, exclusive breast feeding and length of breast feeding.
    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, cloth expenses, transport expenses and food expenses.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2010-03-31 2010-04-19 26 days
    Time periods
    Start date End date Cycle
    2009 2010 1yr
    Data Collectors
    Name Affiliation
    National Bureau of Statistics Federal Government of Nigeria (FGN)
    Supervision

    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.

    Field monitoring and quality check exercises were also carried out during the period of data collection as part of the quality control measures.

    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.
    Retrieval of records was carried out in two stages. The first stage retrieval was implemented by CBN Headquarters Staff during the monitoring visit to the States and zones. The second retrieval was done during the monitoring visit of NBS Headquarters staff. A mop-up exercise was carried out by the NBS State officers and Zonal Controllers for 10 days after the scheduled period for data collection and retrieved records were sent to NBS Headquarters

    Data Collection Notes

    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.

    In each State, 3 teams were used comprising 3 supervisors and 12 enumerators. A team was made up of one supervisor and four enumerators. Each team covered 20 Enumeration Areas for a period of 26 days. A pair of Enumerators in a team covered 10 EAs. This translated to covering an Enumeration Area for an average of 5 days for the different statistical operations. Each team moved in a roving manner

    Data processing

    Data Editing

    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 by the subject mater group.
    The questionnaires were processed at the zones. On completion, computer editing was also carried out to ensure the integrity of the data. .

    Data appraisal

    Estimates of Sampling Error

    No sampling error estimate

    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 Headquarters 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

    Data Access

    Access authority
    Name Affiliation URL Email
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN) http://www.nigerianstat.gov.ng feedback@nigerianstat.gov.ng
    Confidentiality
    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 breeches of confidentiality are outlined in section 28 of the same Act.
    Access conditions

    A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.

    Citation requirements

    "National Bureau of Statistics, Nigeria, General Household Survey 2009-v.1.0 for the public use (January, 2012) provided by the National Data Archive.http://www.nigerianstat.gov.ng"

    Disclaimer and copyrights

    Disclaimer

    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.

    Copyright

    © NBS 2012

    Contacts

    Contacts
    Name Affiliation Email URL
    National Bureau of Statistics (NBS) Fedral Government of Nigeria (FGN) feedback@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Dr Yemi Kale Statistician General sgnbsk@gmail.com http://www.nigerianstat.gov.ng
    Mr N.G. Oparaku Head of Real Sector and Household Statistics Department ngoparaku@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr E.O. Ekezie Head of Information and Comnucation Technology Department eekezie@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr E .I. Fafunmi Data Access biyifafunmi@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mr R.F. Busari Head (Systems Programming) rfbusari@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    Mrs A. A. Akinsanya Data Archivist paakinsanya@nigerianstat.gov.ng http://www.nigerianstat.gov.ng
    World Bank Microdata Library World Bank Data Group microdatalib@worldbank.org

    Metadata production

    DDI Document ID

    DDI_NGA_2009_GHS_v01_M

    Producers
    Name Affiliation Role
    National Bureau of Statistics Federal Government of Nigeria (FGN) Metadata Producer
    Date of Metadata Production

    2012-02-08

    Metadata version

    DDI Document version

    Version 1.0 (February, 2012)
    Version 1.1 (July 2012) DDI and ID number fields edited for World Bank Microdata Library

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