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Harmonised Nigeria Living Standards Survey 2009

Nigeria, 2008 - 2009
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Reference ID
NGA_2009_HNLSS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
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Created on
Mar 13, 2015
Last modified
Mar 29, 2019
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Distributor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    NGA_2009_HNLSS_v01_M

    Title

    Harmonised Nigeria Living Standards Survey 2009

    Subtitle

    First Round

    Country
    Name Country code
    Nigeria NGA
    Study type

    Living Standards Measurement Study [hh/lsms]

    Series Information

    The history of Nigeria Living Standard Survey (NLSS) dates back to three periods. The pre-1993 period, 1993-1999 period, and the 2000-2008 period. Each of these periods are unique in their own way. During the pre-1993 period, there were no national efforts at monitoring poverty and the National Consumer Survey (NCS) as NLSS was then known approached the measurement of poverty with different objectives. However, during the 1993-1999 periods, national effort started in May 1993 when the NBS (then FOS) collaborated with the World Bank to conduct several national consumer surveys. This period marked the beginning of a search for data.

    The search further led the World Bank to collaborate with the NBS and National Planning Commission under the National Committee on poverty to produce the first ever poverty report in Nigeria. Using the NCS data of 1985-1992, three draft reports were produced leading to what is called “the evolution of poverty and welfare in Nigeria 1985-1992”. This was followed by the “Poverty Profile for Nigeria 1980-1996” published in 1999 and was made possible through the World Bank support to NBS for the NCS of 1996 and the extended analysis to the NCS data of 1980/81.

    Abstract

    The National Bureau of Statistics (NBS) has the statutory mandate to provide socio-economic data on a wide range of issues, including poverty reduction programs for informed decision making, policy formulation and implementation. Thus, the essence of adequate measurement and production of relevant evidence-based statistics on poverty and welfare of Nigerians cannot be overemphasized. The various laudable programs of government aimed at combating poverty such as NEEDS, 7-Point Agenda, NAPEP, NDE, MDG amongst many others required tracking, monitoring and evaluation. The Harmonized Nigeria Living Standard Survey (HNLSS) is an instrument for regular monitoring of welfare and social trends for different population groups of the society especially the poor.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and individual

    Version

    Version Description

    version 1.0 (February 2012)

    Version Date

    2010-10-19

    Version Notes

    v1.0 The original data was released in 2010

    Harmonised Nigeria Living Standards Survey is the first in its series which is a combination of Nigeria Living Standards Survey (NLSS 2nd round) and Core Welfare Indicators Questionnaire (CWIQ 2nd round)

    Scope

    Notes

    Survey was designed to collect household characteristics and demographic, education, health, migration, characteristics for poverty analysis. Also consuption information was used for CPI rebasing.

    Part A: Household Roster and Characteristics

    Section 1: Household Roster
    Section 2: Education - Part 2a: General Education
    Section 2: Education - Part 2b: Literacy and Apprenticeship
    Section 3: Health - Part 3a: Health Condition
    Section 3: Health-Part 3b: Malaria
    Section 3: Health - Part 3c: Disability and Activities of Daily Living
    Section 3: Health - Part 3d: Preventive Health and Vaccination
    Section 3: Health - Part 3e: Fertility, Prenatal Care and Contraceptive Use
    Section 3: Health - Part 3f: HIV/AIDS
    Section 3: Health - Part 3g: Gender-Based Violence
    Section 4: Employment and Time Use-Part A: Screening Questions & List of Occupations
    Section 4: Employment and Time Use-Part B: Characteristics of Main Wage Employment
    Section 4: Employment and Time Use-Part D: Unemployment & Employment Search in the Past Seven Days
    Section 4: Employment and Time Use-Part E: Household Chores
    Section 4: Employment and Time Use-Part F: Training/Program Participation
    Section 4: Employment and Time Use-Part G: Consolidated Desired Employment
    Section 5: Migration
    Section 6: Housing Part A: Type of Dwelling
    Section 6: Housing Part B: Occupancy Status of Dwelling
    Section 6: Housing Part C: Housing Expenditure (Rent)
    Section 6: Housing Part D: Physical Characteristics of Dwelling
    Section 6: Housing Part E: Energy
    Section 6: Housing Part F: Water and Sanitation
    Section 6: Housing Part G: Access to the Nearest Social Amenity
    Section 7: Ownership of Durable Assets
    Section 8: Crime and Security
    Section 9: Subjective Poverty

    Topics
    Topic Vocabulary URI
    economic conditions and indicators [1.2] 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
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    in-job training [3.2] 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
    conflict, security and peace [4.1] CESSDA http://www.nesstar.org/rdf/common
    crime [5.1] 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
    post-compulsory education [6.5] CESSDA http://www.nesstar.org/rdf/common
    vocational education [6.7] CESSDA http://www.nesstar.org/rdf/common
    accidents and injuries [8.1] 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
    health care and medical treatment [8.5] CESSDA http://www.nesstar.org/rdf/common
    health policy [8.6] CESSDA http://www.nesstar.org/rdf/common
    specific diseases and medical conditions [8.9] CESSDA http://www.nesstar.org/rdf/common
    housing [10.1] CESSDA http://www.nesstar.org/rdf/common
    TRANSPORT, TRAVEL AND MOBILITY [11] CESSDA http://www.nesstar.org/rdf/common
    children [12.1] CESSDA http://www.nesstar.org/rdf/common
    gender and gender roles [12.6] CESSDA http://www.nesstar.org/rdf/common
    elderly [12.2] CESSDA http://www.nesstar.org/rdf/common
    family life and marriage [12.5] CESSDA http://www.nesstar.org/rdf/common
    social and occupational mobility [12.8] CESSDA http://www.nesstar.org/rdf/common
    youth [12.10] CESSDA http://www.nesstar.org/rdf/common
    community, urban and rural life [13.1] CESSDA http://www.nesstar.org/rdf/common
    cultural and national identity [13.3] CESSDA http://www.nesstar.org/rdf/common
    religion and values [13.5] CESSDA http://www.nesstar.org/rdf/common
    social behaviour and attitudes [13.6] CESSDA http://www.nesstar.org/rdf/common
    social conditions and indicators [13.8] CESSDA http://www.nesstar.org/rdf/common
    time use [13.9] CESSDA http://www.nesstar.org/rdf/common
    fertility [14.2] CESSDA http://www.nesstar.org/rdf/common
    migration [14.3] CESSDA http://www.nesstar.org/rdf/common
    social welfare systems/structures [15.2] 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 Sector (Urban/Rural)

    Geographic Unit

    State

    Universe

    Household members

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN)
    Producers
    Name Affiliation Role
    Department of International Development The Bristish Council Technical Assistance
    World Bank United Nations Technical Assistance
    United Nations Children's Funds United Nations Technical Assistance
    United Nations Development Programme United Nations Technical Assistance
    Funding Agency/Sponsor
    Name Role
    Federal Government of Nigeria Funding
    World Bank Funding
    Department of International Development Funding
    United Nations Children's Funds Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    National Planning Commission Federal Government of Nigeria (FGN) Technical Assistance
    Federal Ministry Of Agriculture Federal Government of Nigeria (FGN) Technical Assistance
    Federal Ministry Of Health Federal Government of Nigeria (FGN) Technical Assistance
    Federal Ministry Of Education Federal Government of Nigeria (FGN) Technical Assistance

    Sampling

    Sampling Procedure

    The sample design employed for HNLSS Survey 2008/09 is a 2-stage cluster sample design in which Enumeration Areas (EAs) or Primary Sampling Units (PSUs) constitutes the 1st stage sample while the Housing units (HUs) from the EAs make up the 2nd stage sample or the Ultimate Sampling Units (USUs)

    Sampling Frame
    The enumeration areas (EAs) as demarcated by the National Population Commission (NPopC) for the 2006 population census served as the sampling frame for the HNLSS 2008/09.

    Sample Size
    Sample sizes must meet some minimal requirement in order to obtain reliable estimate. Hence, for HNLSS Survey 2008/09, the sample size varies from state to state depending on the number of Local Government Areas (LGAs) in each state. Ten (10) EAs were selected in each LGA making a total of 7,774 EAs to be canvassed for throughout the federation from the 774 LGAs including the Federal Capital Territory (FCT) Abuja.

    Selection Procedure
    The 7,740 EAs were selected directly from the population of the EAs in the NPopC with equal probability of selection. Prior to selection, all the contiguous EAs were arranged in serpentine order in each LGA of the state. This arrangement ensured that there was no overlapping

    A total of 77,390 households were covered from a sample of 77,400 households giving the survey coverage rate of 99.9 percent. Of all the six zones, it was only SW zone that had the least response rate of 99.9 percent. The response rate in the remaining 5 zone was 100.0 percent each. Table 1.2 Status of Retrieval of Records by Zone and State attached to the report in External Resources

    AS PER DATA SET
    At households level, out of the 77,390 retrieved, only 73,329 were scanable.

    Estimation Procedure
    Let
    E be the number of EAs in the state
    e be the number of selected in the state
    For a given stratum or domain, the estimate of the variance of a rate, r is given by

    Var(r) = (se)2 = 1 ?(ri - r)2
    K(k -1)i=1
    Where
    K is the number of clusters in the stratum or estimation domain
    r is the weighted estimate calculated from the entire sample of clusters in the stratum
    ri is equal to Kr - (K-1) r(i), where
    r(i) is re-weighted estimate calculated from the reduced sample of K-1 clusters

    To obtain an estimate of the variance at a higher level, say, at the national level, the process is repeated over all strata, with K redefined to refer to the total number of clusters (as opposed to the number in the stratum)

    Estimation of Mean
    Let
    N be the total number of Housing Units listed for the selected EA
    n be the number of selected Housing Units in the selected EA
    Yij be the value of element from selected HUs of the selected EA
    Y be the estimate of sample total

    Therefore, for a proportion estimate, we have
    . yij
    .xi

    Deviations from the Sample Design

    No deviation

    Response Rate

    Total of 77,390 households were covered from a sample of 77,400 households giving the survey coverage rate of 99.9 percent

    As per data set at households level, out of the 77,390 retrieved, only 73,329 were analysable giving 94.7 percent.

    At sector level (Urban/Rural), 25.2% were recorded for Urban while Rural recorded 74.8%.

    Weighting

    The NLSS, like most household surveys, is based on NISH frame. The NISH design is a two-stage design with EA's as first stage units and households as second stage units. Ten enumeration areas (EAs) were randomly selected each month and five household were systematically selected from the household listing of each selected EAs. Population level estimates are made by multiplying the data for each household by two factors, one equal to the inverse of the probability of selecting that household from the total list of households in its EA, and one equal to the inverse of the probability of selecting that EA from the list of EAs in its state. The selections can be done by treating every unit as the same and using simple random selection or, if the data is available, a more efficient sample can be selected using some size variable known for every unit of the population thought to be correlated with the variables of interest for measurement. So the weighting factor is at the EA level in each state:

    where
    Nh = the total number of EAs in state h.
    nh = the number of sampled EAs in state h.
    Mhi = the number of listed households in ith EA of state h.
    nhi = the number of sampled households in ith EA of state h.
    Xhij = the number of persons in the jth household in ith EA of state h.
    Phij = the poverty score for the jth household in ith EA of state h.

    So the above will apply to all the individual members in order to give the population. However, the above weighting factor will be multiplied by average household size, when there is need to take the household aggregates to the population.

    The variable Household weight was used in the data set for the weight.

    Survey instrument

    Questionnaires

    The questionnaire is a structured questionnaire (Scanable) developed as a joint effort of the National Bureau of Statistics, the World Bank and National Planning Commission. After series of meeting and two consultative workshops.

    Section 1: Household Roster
    Section 2: Education - Part 2a: General Education
    Section 2: Education - Part 2b: Literacy and Apprenticeship
    Section 3: Health - Part 3a: Health Condition
    Section 3: Health-Part 3b: Malaria
    Section 3: Health - Part 3c: Disability and Activities of Daily Living
    Section 3: Health - Part 3d: Preventive Health and Vaccination
    Section 3: Health - Part 3e: Fertility, Prenatal Care and Contraceptive Use
    Section 3: Health - Part 3f: HIV/AIDS
    Section 3: Health - Part 3g: Gender-Based Violence
    Section 4: Employment and Time Use-Part A: Screening Questions & List of Occupations
    Section 4: Employment and Time Use-Part B: Characteristics of Main Wage Employment
    Section 4: Employment and Time Use-Part D: Unemployment & Employment Search in the Past Seven Days
    Section 4: Employment and Time Use-Part E: Household Chores
    Section 4: Employment and Time Use-Part F: Training/Program Participation
    Section 4: Employment and Time Use-Part G: Consolidated Desired Employment
    Section 5: Migration
    Section 6: Housing Part A: Type of Dwelling
    Section 6: Housing Part B: Occupancy Status of Dwelling
    Section 6: Housing Part C: Housing Expenditure (Rent)
    Section 6: Housing Part D: Physical Characteristics of Dwelling
    Section 6: Housing Part E: Energy
    Section 6: Housing Part F: Water and Sanitation
    Section 6: Housing Part G: Access to the Nearest Social Amenity
    Section 7: Ownership of Durable Assets
    Section 8: Crime and Security
    Section 9: Subjective Poverty

    Data collection

    Dates of Data Collection
    Start End Cycle
    2008-11-28 2009-01-08 35 days
    Time Method

    September 2003 to August 2004

    Time periods
    Start date End date Cycle
    2009 2014 5 years
    Data Collectors
    Name Affiliation
    National Bureau of Statistics Federal Government of Nigeria
    Supervision

    The most important of the supervisor's responsibilities is to ensure that the quality of the data collected and entered is unquestionable. To this end, a number of specific tasks have been assigned.

    (i) Publicity: You must supervise the delivery of the letters of introduction to the local authorities and chiefs in the rural areas and, to the households in the urban areas. You will introduce the team and explain the purpose of the survey in each selected cluster.

    (ii) Finding The Selected Household: You should help the interviewers find the selected households, using the maps and information established during the pre-survey stage. You should correct the maps where necessary. Also, help the interviewers to persuade reluctant households to participate. For those households which persist in refusing or those which cannot be traced, it is your responsibility to replace these households with others from the list of replacement households. If the selected household has left the dwelling, and a new household now lives there, then you should select the new household as the replacement household. If the dwelling is now vacant, then you should take the next "replacement" household on your sample list.

    (iii) Verification Of Questionnaires: At the end of every visit, you will have to check that the questionnaires have been correctly completed before the team leaves the field. If necessary, you will have to ask the interviewer to go back to the household to complete the questionnaire.

    (iv) Observing Interviews: At least thrice every cycle during the survey, you must accompany each interviewer to observe his interview techniques.

    (v) Verification of Interview: Every day, you should visit at random, one of the households interviewed on the previous day to ascertain whether the interviewer actually visited the house to conduct an interview.

    (vi) Sending the completed questionnaires to the Data Entry Operator. The first round data cover sections 1-8 and the second covers 8-13. At the end of the third visit, when data in sections 1-6 will have been collected, you should send the completed part of the questionnaire to the Data Entry Operator. And at the end of the cycle (seventh visit) you should send the second part (sections 8-13) of the questionnaire to the Data Entry Operator so that she/he enters the data while you leave the cluster.

    (vii) Checking The Printouts: After data for each round have been entered in the computer, you should compare the printout with the data on the questionnaires. You should also look for any errors made by the interviewer, using tests for coherence in the computer programme. You will have to mark in red ink, on the printout and on the questionnaire all errors detected by the data entry operator so that the interviewer and the data entry operator can clarify these as soon as possible.

    In addition, you will be responsible for collecting information on the localities surveyed (community questionnaire) and also supervise or help collect information on prices. You are also responsible for ALL the industry codes in the questionnaire. As soon as the interviewer finishesadministering a section, you should do the coding before sending the questionnaires to the data entry operator. The various tasks and responsibilities for you are explained in detail in the following sections.

    Data Collection Notes

    The FOS permanent Field staff who were resident in the enumeration areas were responsible for data collection during the survey. These interviewers conducted interviews with the households. There were seven interviewer visits to each selected household at a minimum of four-day interval in a cycle of 30 days.

    Composition of the Team for data Collection
    Every State had 20 roving teams, while FCT, Abuja operated with 10 teams. A team was made up of one supervisor and one enumerator.
    The teams were structured into two groups, which worked alternatively each month to cover the selected EA.

    Supervision and Quality Control
    Supervision and Quality Control A number of measures were put in place to ensure that the NLSS data were of good and acceptable quality. For instance, a supervisor was attached to each team to observe interviews and confirm the pre-selected households. He was to verify and edit completed questionnaires. The State officers and zonal controllers conducted regular monitoring visits to the EAs. Headquarters monitoring groups also visited states on quarterly basis, for on-the- spot assessment of the quality of work. An independent firm was engaged to monitor the fieldwork in the States from the commencement to the end of the survey. A World Bank Mission team from Washington also took part in the monitoring exercise.

    Retrieval
    Completed Questionnaires were sent to zonal offices from the States for onward transmission to the NBS headquarters for data extraction and data processing. The retrieval of records was done on a monthly basis.

    Data processing

    Data Editing

    Headquarters Training of Trainers (T0T) The first level of training at the headquarter consisted of three categories of officers, namely, the trainers at the zonal level, fieldwork monitoring officers and data processing officers who were crucial to the successful implementation of the survey.

    The intensive and extensive training lasted for five days. Zonal Level Training The training took place in the six zonal FOS [now NBS] offices representing the six geo-political zones of the country. These are Ibadan (South West) Enugu (South East), Calabar (South South), Jos (North Central), Maiduguri (North East) and Kaduna (North West).

    The composition of the team from each State to the six different zones were the State officer, one scrutiny officer and two field officers, making four persons per state. Two resource persons from the headquarters did the training with the zonal controllers participating and contributing during the five-day regimented and intensive training.

    State Level Training
    The third level training was at the State level. A total of 40 officers were trained, comprising 20 enumerators, 10 editing staff and 10 supervisors.

    The State Statistical Agencies, as a matter policy, contributed 5-10 enumerators. The ten-day exercise was also regimented, intensive and extensive because the enumerators were also crucial for effective implementation of data collection.

    Data appraisal

    Data Appraisal

    The data processing of the HNLSS records was done at the 6 NBS Processing Centers which were located within the 6 Zonal Offices.
    The main activities include:
    The manual editing of records
    The scanning of completed questionnaires.
    Validation of data that was scanned.
    Computer editing of scanned records
    Data cleaning and table generation.
    A series of data quality tables and graphs are available.

    Distributor information

    Distributor
    Organization name Affiliation
    NATIONAL BUREAU OF STATISTICS FEDERAL GOVT. OF NIGERIA

    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

    The use of this dataset must be acknowledged using a citation which would include:

    • the identification of the Primary Investigator (including country name)
    • the full title of the survey and its acronym (when available), and the year(s) of implementation
    • the survey reference number
    • the source and date of download (for datasets disseminated online)

    Example:

    National Bureau of Statistics. Nigeria National Living Standard Survey (HNLSS) 2009, Ref. NGA_2009_HNLSS_v01_M. Dataset downloaded from [URL] on [date].

    Deposit requirements

    National Bureau of Statistics.

    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 2009

    Contacts

    Contacts
    Name Affiliation Email URL
    National Bureau of Statistics (NBS) Federal 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 E.O. Ekezie Head of Information and Comnucation Technology Department eoekezie@nigerianstat.gov.ng 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
    Biyi Fafunmi 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
    Rose Mungai World Bank rmungai@worldbank.org

    Metadata production

    DDI Document ID

    DDI_NGA_2009_HNLSS_v02_M

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

    2012-02-09

    Metadata version

    DDI Document version

    Version 02 (January 2015)

    • Editing of metadata fields
    • External resources added
    • Datasets added

    Version 1.0 (February 2012)

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