Harmonised Nigeria Living Standards Survey 2009
First Round
Nigeria, 2008 - 2009
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NGA-NBS-HNLSS-2009-v1.0
Harmonised Nigeria Living Standards Survey 2009
First Round
HNLSS 2009
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| Name | Country code |
|---|---|
| Nigeria | NGA |
Living Standards Measurement Study [hh/lsms]
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.
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. It is hoped that this report will be useful especially to the Federal Government of Nigeria, All states in Nigeria, Non-Governmental Organisation (NGO), and International Development Partners such as the World Bank, UNDP, UNICEF, and other institutions involved in monitoring welfare and poverty across the globe.
The National Bureau of Statistics (NBS) has the statutory mandate to provide socio-economic data on a wide range of issues, including poverty reduction programmes 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 programmes of government aimed at combating poverty such as NEEDS, 7-Point Agenda, NAPEP, NDE, MDG amongst many others required tracking, monitoring and evaluation.
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.
With the search still on, the 2000-2008 periods, witnessed an era of influx of support from development partners for the measurement, monitoring and evaluation of welfare through NLSS and CWIQ in Nigeria. The NLSS used the expenditure approach to measure, monitor, and evaluate poverty. Thus, the NBS again through the support of the WB, DFID, EU and UNDP enlarged the implementation of the NCS of 2004, referred to as Nigeria Living Standard Survey. The support resulted to the emergence of two reports, a standalone poverty profile of Nigeria 2004 and the Nigeria Living Standard Survey 2004 report.
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. It is hoped that this report will be useful especially to the Federal Government of Nigeria, All states in Nigeria, Non-Governmental Organisation (NGO), and International Development Partners such as the World Bank, UNDP, UNICEF, and other institutions involved in monitoring welfare and poverty across the globe.
Sample survey data [ssd]
Household and individual
Version
version 1.0 (February 2012)
2010-10-19
v1.0 The original data was release 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
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 PASS 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
| 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
National Zone State Local Government Sector (Urban/Rural)
State
Household members
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (FGN) |
| 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 |
| Name | Abbreviation | Role |
|---|---|---|
| Federal Government of Nigeria | FGN | Funding |
| World Bank | WB | Funding |
| Department of International Development | DFID | Funding |
| United Nations Children's Funds | UNICEF | Funding |
| 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
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
No deviation
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%.
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
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 PASS 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
There were five levels of computer edits before analysis took place. This was critical to ensuring the quality and acceptability of the data.
Level 1: Control Edits:
These were to ensure the sample integrity. The total households captured must match with master sample list.
Level 2: Inter-Questionnaire Structure:
These were required in order to compute the Standard of Living (SOL), quintile distribution or compute per capita value. Mismatches and duplicates were reconciled.
Level 3: Intra-Questionnaire:
This was required for sectoral analysis. Information from the roster (age and sex) was matched with respective sections in the questionnaire. Since the household roster was the primary source for computing the universe of subsequent sections, these had to be consistent. Mismatches and duplicates of household members’ identification were rectified.
Level 4: Edits: These checks monitor the intra-record consistency. It was important that logical responses and skip patterns were followed. Level 5: General Edits: This checked for outliers and corrections were made through static or dynamic imputation.
Data Analysis The Staff of Computer Management and Information Services (CMIS) of the NBS carried out the data entry of the edited questionnaire and ran programmes to further detect inconsistencies and other related errors as part of the final editing. Tables were then generated from the analyses.
Also at the request of the then Federal Office of Statistics, under the British Council Economic Management Capacity Building (EMCAP) Project, a DFID Consultant came to Nigeria to provide technical assistance in the evaluation of dataset.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2008-11-28 | 2009-01-08 | 35 days |
September 2003 to August 2004
| Start date | End date | Cycle |
|---|---|---|
| 2009 | 2014 | 5 years |
- Face-to-face [f2f]
| Name | Affiliation | Abbreviation |
|---|---|---|
| National Bureau of Statistics | Federal Government of Nigeria | NBS |
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.
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
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
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
| Organization name | Abbreviation | Affiliation |
|---|---|---|
| NATIONAL BUREAU OF STATISTICS | NBS | FEDERAL GOVT. OF NIGERIA |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics (NBS) | Federal Government of Nigeria (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 breeches 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 2007outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.
National Bureau of Statistics, Nigeria, National Living Standard Survey 2009 v1.0
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.
© NBS 2009
Contacts
| Name | Affiliation | 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 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 | 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 |
Metadata production
DDI-NGA-NBS-HNLSS-2009-v1.0
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| National Bureau of Statistics | NBS | Federal Government of Nigeria (FGN) | Metadata Producer |
2012-02-09
Metadata version
Version 1.0 (February 2012)