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HUMAN DEVELOPMENT INDICES GENERAL HOUSEHOLD SURVEY 2017
First round

Nigeria, 2017
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Reference ID
NGA-NBS-HDI-2017-v1.0
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 27, 2023
Last modified
Jun 28, 2023
Page views
96136
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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-NBS-HDI-2017-v1.0

    Title

    HUMAN DEVELOPMENT INDICES GENERAL HOUSEHOLD SURVEY 2017

    Subtitle

    First round

    Abbreviation or Acronym

    HDI 2017

    Translated Title

    No Translation

    Country
    Name Country code
    Nigeria NGA
    Study type

    Other Household Survey [hh/oth]

    Series Information

    The Human Development Indices (HDI) General Household Survey is the first round of HDI survey which was conducted in 2017. HDI was designed by United Nations Development Programme (UNDP) and implemented by the National Bureau of Statistics (NBS), Nigeria. HDI data were used to compile the Human Development Index; Inequality-adjusted Human Development Index; Gender Inequality Index and the Multidimensional Poverty Index. The Human Development Index (HDI) is a summary measure of achievements in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. It is the geometric mean of normalized indices for each of the three dimensions.

    Abstract

    Human development indicators, generally, provide the basis for quantitative assessment of the achievement of countries in all areas of human endeavour. The Human Development Index (HDI) is a summary measure of human progress. It considers the average achievements in three basic dimensions of human development; a long and healthy life, access to knowledge and a decent standard of living. The
    indicators considered in this document are composites of socio-economic factors appropriate for assessing human development achievements in each State of the Federation. Until 2010, HDI was defined as a simple arithmetic average of normalized indices in the dimensions of health, education and income. At the moment, life expectancy (le) remains the only indicator for the health dimension while the indicators for income and education were appropriately replaced.

    The Inequality-adjusted Human Development Index (IHDI) adjusts the Human Development Index (HDI) for inequality in distribution of each dimension across the population. It is based on a distribution-sensitive class of composite indices proposed by Foster, Lopez-Calva, and Szekely (2005), which draws on the Atkinson (1970) family of inequality measures. It is computed as a geometric mean of geometric means, calculated across the population for each dimension separately (Alkire and Foster, 2010). The IHDI accounts for inequalities in HDI dimensions by “discounting” each dimension's average value according to its level of inequality. The IHDI equals the HDI when there is no inequality across people but is less than the HDI as inequality rises. In this sense, the IHDI is the actual level of human development (accounting for this inequality), while the HDI can be viewed as an index of “potential” human development (or the maximum level of HDI) that could be achieved if there was no inequality. The “loss” in potential human development due to inequality is given by the difference between the HDI and the IHDI and can be expressed as a percentage.
    The new indices were: Inequality-adjusted Human Development Index (IHDI), Multidimensional Poverty Index (MPI), and Gender Inequality Index (GII).

    The recently UNDP Nigeria/NBS computed HDI, at state level, shows that Nigeria has an average HDI of 0.521. All the North East states have HDI scores below the national average; ranging from a high of 0.4286 in Taraba to a low of 0.3238 in Bauchi, a figure less than half that of Lagos state at 0.6515, the state with the
    highest HDI score (see Annex 2 in the HDR 2018 report for detailed State level HDI computations).

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Individuals

    Version

    Version Description

    Version 1.0: Anonymous dataset for public distribution

    Version Date

    2017-11-08

    Version Notes

    This is the first Version of the study

    Scope

    Notes

    The scope of the Human Development Indices General Household Survey includes:
    Identification
    Demographic Characteristics
    Water and Sanitation
    Housing Characteristics
    Maternal Mortality
    Economy Activity and Work history of Persons 15 years and above; who worked last week
    Anthropometry

    Coverage

    Geographic Coverage

    National Coverage

    Universe

    The survey covered all household members from selected sample.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN)
    Producers
    Name Affiliation Role
    United Nations Development Programme United Nations Technical Assistance in methodology
    Oxford Poverty Human Initiative University of Oxford Technical Assistance in data analysis
    Funding Agency/Sponsor
    Name Abbreviation Role
    United Nations Development Programme UNDP Funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Federal Federal Ministry of Finance, Budget and National Planning Federal Government of Nigeria (FGN) National Steering Committee - Overall policy direction and guidance
    Economic Community of West African States (ECOWAS) Computation of the various indices of Human Development: the HDI, the I-HDI, the GII and the MPI.
    United Nations Development Programme (UNDP) United Nations Peer-reviewers of the report

    Sampling

    Sampling Procedure

    The 2017 Human Development Indices Survey generated data on:
    • Demographic Characteristics
    • General Mortality (i.e. deaths in the last 12 months)
    • Maternal Mortality
    • Employment History
    • Access to water
    • Sanitation
    • Housing Characteristics
    • Information major industries including Cement Companies and Oil Refineries
    • Supplementary data from selected MDAs
    • Educational attainment among households
    • Anthropometry
    The survey covered households in both urban and rural areas in all the 36 states of the Federation and the Federal Capital Territory (FCT), Abuja using the Enumeration Areas (EAs), which established through the National Integrated Survey of Households (NISH). A total sample 120 Enumeration Areas (EAs) were selected in each of the 36 states, and the FCT. In each EA, a sample of 15 households (HHs) was selected for the study, making a total of 1,800 households per State and a national sample size of 66,600 households.

    Deviations from the Sample Design

    No Deviation

    Response Rate

    96.2% Response Rate

    Weighting

    Population and Sample weights were calculated for the Household data files.

    Survey instrument

    Questionnaires

    The questionnaire for the Human Development Indices (HDI) General Household survey 2017 was a well-structured household based questionnaire. A household questionnaire was administered in each household, which collected various information on Demographic Characteristics, General Mortality (i.e. deaths in the last 12 months), Maternal Mortality, Employment History, Access to water, Sanitation, Housing Characteristics, Information major industries including Cement Companies and Oil Refineries, Supplementary data from selected MDAs, Educational attainment among households, Anthropometry

    The questionnaire was developed in English.

    Methodology notes

    The Human Development Indices (HDI) General Household Survey 2017 was a face-2-face interview that went through the following processes
    -The use of Computer Assisted Personnel Interviewing (CAPI) method
    -The Census and Survey Processing (CSPro) software was used to design the questionnaire and deployed to the tablets
    -The process involved the interview and data entry stages being carried out concurrently with the use of CATI.
    -Stata was used in the analysis of the MPI component.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2017-09-17 2017-10-02 12 days
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name Affiliation Abbreviation
    National Bureau of Statistics Federal Government of Nigeria (FGN) NBS
    Supervision

    The fieldwork was carried out by three (3) teams per state. Each team comprised one (1) Team leader and four (4) Team mate. One (1) female were selected among the team mate to be in charge of anthropometric measurement in the households. The teams conducted interviews using the General Household Mortality and Labour Force questionnaire. The Trainer and State Officer in each states lodged and retrieved MDAs questionnaires.

    There was monitoring exercise in all the 36 states and the FCT, Abuja. The monitoring exercise involved the Officers from NBS Headquarters, State Officers and Zonal Controllers. For quality assurance, monitoring exercises were carried out at various stages of the data collection. Senior officers from the NBS Headquarters, NBS State Officers and Zonal Controllers were all involved in the monitoring and coordination of the data collection exercise.

    Data collected by the use of Computer Assisted personal Interview (CAPI) were transmitted online to the NBS Data Processing Center in Abuja. All completed paper questionnaires were returned by the monitoring officers to the center for data processing.

    Data Collection Notes

    Two (2) levels of training were adopted. The first level was the training of trainers (TOT) held at NBS Headquarters, Abuja. The training comprised of 37 trainers/monitors and six coordinators at the zones. In
    all, 43 officers were trained at the first level. The training lasted two days. The second level training was held in all the 37 NBS state offices, including Abuja. The trainees at the second level included the interviewers, field supervisors, NBS State Officers and Zonal Controllers. The training also lasted two days.

    Data processing

    Data Editing

    All primary data collected were subjected to data reliability tests to ascertain the quality. Result tables were generated, using the already prepared programs.Data editing took place at a number of stages throughout the processing, including:
    a) Data cleaning/editing
    b) Structure checking and completeness
    c) Structural checking of SPSS data files

    Data appraisal

    Data Appraisal

    A series of data quality tables and graphs are available in the reports.

    Data Access

    Access authority
    Name Affiliation URL Email
    National Bureau of Statistics (NBS) Federal Government of Nigeria (FGN) https://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 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.

    Citation requirements

    National Bureau of Statistics, Human Development Indices General Household Survey 2017 v1.0 of the public use (April, 2023) provided by National Data Archive, https://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

    (c) NBS, 2023

    Contacts

    Contacts
    Name Affiliation Email URL
    Prince Semiu Adeyemi Adeniran (Statistician-General of the Federation/CEO NBS) National Bureau of Statistics (NBS) saadeniran@nigerianstat.gov.ng https://nigerianstat.gov.ng/
    Mr. Biyi Fafunmi Drector (ICT) National Bureau of Statistics (NBS) biyifafunmi@nigerianstat.gov.ng https://nigerianstat.gov.ng/
    Emuesiri Ojo National Bureau of Statistics (NBS) eojo@nigerianstat.gov.ng https://nigerianstat.gov.ng/
    Akinloye Adeyeye Elutade National Bureau of Statistics (NBS) aaelutade@nigerianstat.gov.ng https://nigerianstat.gov.ng/
    Grace Waniko Abhulimen National Bureau of Statistics (NBS) gwabhulimen@nigerianstat.gov.ng https://nigerianstat.gov.ng/

    Metadata production

    DDI Document ID

    DDI-NGA-NBS-HDI-2017-v1.0

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

    2023-04-26

    Metadata version

    DDI Document version

    Version 1.0 (April, 2023)

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