Multiple Indicator Cluster Survey 2011
Nigeria, 2011
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NGA_2011_MICS_v01_M
Multiple Indicator Cluster Survey 2011
Fourth round
English
| Name | Country code |
|---|---|
| Nigeria | NGA |
Multiple Indicator Cluster Survey - Round 4 [hh/mics-4]
Nigeria has participated in three rounds of MICS. Two rounds through the Federal Office of Statistics (FOS) in 1995 and 1999 for MICS 1 and MICS2 respectively and the third round, MICS3, as National Bureau of Statistics (NBS) in 2007. The current round four (MICS4) which is slated for between January and March, 2011, though the pilot is to come up in October, 2010 was designed to provide up to date data information for assessing situation of children and women in Nigeria and contribute data for monitoring socio-economic activities of Nigerian population.
The Multiple Cluster Indicator Survey (MICS) was conceptualized to monitor the progress of Child Survival, Development, protection and participation (CSDPP) Programme as well as to serve as means of data generating mechanism for measuring the achievement and gaps in the targets of Millennium Development Goals (MDGs), particularly as it may affect the children and women. At the World Summit for Social Development in 1995, the need was also stressed for better social statistics if social development had to move to centre stage for the cause of the children of the world.
However, Nigeria has participated in three rounds of MICS. Two rounds through the Federal Office of Statistics (FOS) in 1995 and 1999 for MICS 1 and MICS2 respectively and the third round, MICS3, as National Bureau of Statistics (NBS) in 2007. The current round of MICS4 which is slated for between January and March, 2011, though the pilot is to come up in October, 2010 was designed to provide up to date data information for assessing situation of children and women in Nigeria and contribute data for monitoring socio-economic activities of Nigerian population. Likewise, MICS4 will support monitoring numerous international and national goals and targets which includes;
· Millennium Development Goals (MDGs)
· World Fit for children
· Roll-Back Malaria (RBM)
· Vision 20-2020 etc.
The objectives of the pilot study among others include;
i. To test the adequacy of survey instruments (Questionnaires and Manuals)
ii. To test the administration of the questionnaires
iii. To test some of the data processing arrangement (system development, data processing capability, analysis and tabulation, etc.)
iv. To test all the logistics arrangement (fieldwork, transportation, field equipment etc)
v. To write an administrative and technical report on the pilot
Sample survey data [ssd]
Individual, Household
Version
version 1.0
2012-04-26
v1.0 This is the first version used to generate the first set of tables original release in 2012
Scope
The general subject areas to be covered in the three (3) set of questionnaires namely;
(i) Household, Individual women (15 - 49) and Children under five include:
(a) HOUSEHOLD QUESTIONNAIRE:
(i) Household Information Panel
(ii) Household Listing Form
(iii) Education
(iv) Water and Sanitation
(v) Salt iodization
(vi) Hand-washing
(vii) Child labour
(viii) Child discipline
(ix) Insecticide treated nets
(x) Household Characteristics etc.
(b) INDIVIDUAL WOMEN (15 - 49) QUESTIONNAIRE:
(i) Woman's information panel
(ii) Woman's background
(iii) Child Mortality
(iv) Desire for last birth
(v) Maternal and Newborn Health
(vi) Illness symptoms
(vii) Contraception
(viii) Unmet need
(ix) Female Genital Mutilation/Cutting
(x) Attitudes toward domestic violence
(xi) Marriage/union
(xii) Sexual behaviour
(xiii) HIV/AIDS etc
(c) CHILDREN UNDER FIVE QUESTIONNAIRE
(xi) Under-five child Information Panel
(xii) Age
(xiii) Birth registration
(xiv) Early child development
(xv) Breastfeeding
(xvi) Care of illness
(xvii) Malaria
(xviii) Immunization
(xix) Anthropometry etc.
In addition, the coordinates of the EAS/Clusters for the pilot study will be taken using the Global Positioning System (GPS).
| Topic | Vocabulary | URI |
|---|---|---|
| economic systems and development [1.4] | 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 |
| business/industrial management and organisation [2.2] | CESSDA | http://www.nesstar.org/rdf/common |
| LABOUR AND EMPLOYMENT [3] | CESSDA | http://www.nesstar.org/rdf/common |
| domestic political issues [4.2] | CESSDA | http://www.nesstar.org/rdf/common |
| mass political behaviour, attitudes/opinion [4.6] | 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 |
| post-compulsory education [6.5] | CESSDA | http://www.nesstar.org/rdf/common |
| vocational education [6.7] | CESSDA | http://www.nesstar.org/rdf/common |
| information society [7.2] | CESSDA | http://www.nesstar.org/rdf/common |
| childbearing, family planning and abortion [8.2] | CESSDA | http://www.nesstar.org/rdf/common |
| drug abuse, alcohol and smoking [8.3] | 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 |
| environmental degradation/pollution and protection [9.1] | 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 |
| 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 |
| community, urban and rural life [13.1] | CESSDA | http://www.nesstar.org/rdf/common |
| social change [13.7] | CESSDA | http://www.nesstar.org/rdf/common |
| fertility [14.2] | CESSDA | http://www.nesstar.org/rdf/common |
| social welfare systems/structures [15.2] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National Zone State Local government Sector (Urban,Rural)
State
The survey covered:
All de jure household members (usual residents);
All women aged 15-49 years resident in the household and;
All children aged 0 <5 years (under age 5) resident in the household.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Bureau of Statistics [NBS] | Federal Government of Nigeria (FGN) |
| Name | Affiliation | Role |
|---|---|---|
| United Nation Children Educational Fund | UNICEF, Nigeria | Funding & Technical assistance in Stakeholders meetings, monitoring |
| Name | Role |
|---|---|
| United Nation Children Fund | Funding |
| Fedral Government of Nigeria | Funding |
| National Bureau of Statistics | Funding |
| United Nation Fund For Population Activities | Funding |
| Depertment for International Development | Funding |
| Name | Affiliation | Role |
|---|---|---|
| Central Bank of Nigeria | CBN [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Nigeria Institute of Social Economic Research | NISER [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Office of the Senior Special Assisstance to the President | MDG office [FG] | Added to the value of questionnaire during stakeholders Meeting |
| National Agency for the Prohibition of Ttrficking In Persons | NAPTIP [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Federal Ministry of Education | FME [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Federal Ministry of Health | FMH [FG] | Added to the value of questionnaire during stakeholders Meeting |
| National Population Commission | NPopC [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Federal Ministry of Justice | FMJ [FG] | Added to the value of questionnaire during stakeholders Meeting |
| National Planning Commission | NPC [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Federal Ministry of Agriculture & Worter Rresouces | FMA&WR [FG] | Added to the value of questionnaire during stakeholders Meeting |
| National Agency for Food and Drug Administration and Control | NAFDAC [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Ministry of Finance, Budget & Planning | MFB&P [FG] | Added to the value of questionnaire during stakeholders Meeting |
| Federal Ministry of Environment | FME [FG] | Added to the value of questionnaire during stakeholders Meeting |
| World Health Organisation | WHO | Added to the value of questionnaire during stakeholders Meeting |
Sampling
The frame of Enumeration Areas (EAs/Clusters) of 2006 Housing and Population Census conducted by National Population Commission (NpopC) will be used. However, the National integrated Survey of Households (NISH) which is the vehicle for conducting all household based surveys in NBS, the 2007/2012 edition will be adopted for the survey.
Ten (10) EAs/Clusters which translated to one (1) replicate will be selected in each of the affected states for the pilot study. Further, twenty (20) households (HHs) will be systematically selected in each of the EAs/Clusters thus given a total of 200 HHs to be canvassed in each selected state. In all, 800 HHs will be studied for the pilot in which all the eligible women and children under five in these households will be administered with the relevant questionnaires (see table 2.1.4.1).
As was for the pilot study, the frame of enumeration areas/Clusters (EAs/Clusters) of 2006 housing and population census conducted by National population commission (NPOPC) will be used. Also, the National Integrated Survey of Households (NISH) 2007/2012 Master Sample Frame (MSF) will be adopted for the survey. However, the NISH 2007/2012 Master Sample was constructed from LGA Master Sample which may be called Master Frame (MF). In order to select the NISH sub-sample of EAs/Clusters in each state, the 30 master sample EAs/Clusters in each LGA for that state were pooled together, hence, the total number of EAs/Clusters in the LGA master sample for each state is equal to 30 times the number of the LGAs in the state except in FCT, Abuja where it was 40 times.
Then, systematic sample of 200 EAs/Clusters were selected with equal probability across all LGAs within the state and the NISH EAs/Clusters in each state were divided into 20 replicates of 10 EAs/Clusters in each replicate.
The sample EAs/Clusters for most national household surveys such as the GHS are based on a sub-sample of the NISH master sample, selected as a combination of replicates from the NISH frame. However, the MICS4 main survey will derive from NISH (2007/2012) and as such four (4) replicates taken from replicates 17 to 20 containing forty (40) EAs/Clusters will be canvassed in each of the thirty six states of the Federation and FCT, Abuja. In addition, twenty (20) households will be systematically selected in each EAs/Clusters and all the three (3) sets of questionnaires will be administered to all eligible respondents. In all, one thousand, four hundred and eighty (1,480) EAs/Clusters will be covered nationally, and twenty nine thousand, six hundred (29,600) households will be interviewed. It is worthy to note that a fresh household listing exercise was carried out for all study units (EAs/Clusters) for MICS4.
There were no deviation from sample Designed
We had 96% Response Rate
Detailed information attached as external document
Sample weights were calculated for each of the data files.. Sample weights for the household data were computed as the probability of selection of the household, computed at the sampling domain level (urban/rural within each state). The household weights were adjusted for non-response at the domain level, and then nomalised by a constant factor so that the total weighted number of households equals the total unweighted number of households. The hosehold weight variable is called HHWEIGHT and is used with the HH data and the HL data
Sample weights for the women's data used the un-nomalized household weights, adjusted for non-response for the women's questionnaire, and were then normalized by a constant factor so that the total weighted number of women's cases equals the total unweighted number of women's cases.
Sample weights for the children's data followed the same approach as the women's and used the un-nomalized household weights, adjusted for non-response fr the children's questionnaire, and were then normalized by a constant factor so that the total weighted number of children's cases equals the total unweighted number of children's cases
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
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
The MICS Generic questionnaire based on MICS3 Model Questionnaire was used with some modifications and additons.
Household questionnaire was administered to all selected households, the women questionnaire was administered to all women age 15-49 years old in the selected households and children questionnaire to all children below the age of 5years in the selected households.
All modules of the Household Questionnaire will be administered to this person, referred to as the Household Respondent, including the module in the questionnaire where the information collected is about other household members (i.e., the educational attainment).
For the purposes of this questionnaire, an adult is defined as someone age 15 and over. However, very young household members (below age 18) may not be the most ideal members to interview. Therefore, in cases when there is another older adult member (for instance, the parent of the 15 year-old) available to interview, you should prefer to interview this person who is likely to be more knowledgeable about the household. Interviewing the household head is not a must and you are not required to ask for the household head to do the interview
(a) Household Questionnaire
(i) Household Information Panel
(ii) Household Listing Form
(iii) Education
(iv) Water and Sanitation
(v) Salt iodization
(vi) Hand-washing
(vii) Child labour
(viii) Child discipline
(ix) Insecticide treated nets
(x) Household Characteristics etc.
When you have completed the Household Questionnaire, you will have identified women (aged 15-49 years) and mothers or primary caregivers of children under five to whom you will administer the individual questionnaires.
· You should interview separately all women aged 15 through 49 who reside in the household to fill in the Questionnaire for Individual Women.
(b) Individual Women (15 - 49) Questionnaire
(i) Woman's information panel
(i) Woman's background
(ii) Child Mortality
(iii) Desire for last birth
(iv) Maternal and Newborn Health
(v) Illness symptoms
(vi) Contraception
(vii) Unmet need
(viii) Female Genital Mutilation/Cutting
(ix) Attitudes toward domestic violence
(x) Marriage/union
(xi) Sexual behaviour
(xii) HIV/AIDS etc
You should administer the Questionnaire for Children under-5 to mothers of children under-5 years of age who are residing in the household. If the mother is not listed in the Household Listing, then the person who is acknowledged as the primary caregiver should be the respondent to the Under Five Questionnaire
(c) Children Under Five Questionnaire
(xi) Under-five child Information Panel
(xii) Age
(xiii) Birth registration
(xiv) Early child development
(xv) Breastfeeding
(xvi) Care of illness
(xvii) Malaria
(xviii) Immunization
(xix) Anthropometry etc.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2011-02 | 2011-03 | 45 Days |
| Start date | End date | Cycle |
|---|---|---|
| 2010-10 | 2014-03 | 4 yrs |
| Name | Affiliation |
|---|---|
| National Bureau of Statistics | Federal Republic of Nigeria |
First level monitoring at National level by 18 NBS Headquarters staff and members of Central Technical Committee
Second level monitoring at state level by NBS 6 Zonal Controllers, 37 State Officers and other member of State Steering Committee
There will be a monitoring exercise to be mounted at NBS Headquarters, which primary objective is to ensure that data collected is of good quality. Those to be involved in the monitoring exercise are four (4) NBS headquarters staff among the eight (8) NBS trainers, four (4) zonal controllers and four (4) state officers of where the pilot study is being carried out. Also to be involved will be the UNICEF officials. The monitoring exercise will last for six (6) days for all categories of monitors.
Four (4) coordinators from NBS Headquarters will coordinate the pilot study. The coordinators will be involved in Training of Trainers (TOT), coordinate the zonal training and fieldwork. However, coordination will last for four (4) days for both activities.
There will be two (2) levels of training, the 1stlevel, the training of trainers (TOT) and the 2nd, the zonal training.
The 1st level will be held at Minna, Niger State and it will involve twenty (20) participants comprising the NBS coordinators, NBS trainers and UNICEF officials. It will last for five (5) days.
The 2nd level will be held at two (2) NBS zonal states; Enugu (Enugu state) for Osun and Akwa Ibom states and Maiduguri (Borno State) for Kano and Gombe states. The 2nd level training will last for ten (10) days.
Two (2) roving teams will be used in each of the selected states. Each roving team will comprise of:
· Five (5) interviewers (female)
· One (1) measurer (female)
· One (1) editor (male or female)
· One (1) supervisor (male or female) NBS permanent staff
To make the fieldwork run smoothly, vehicles will be provided for the field personnel throughout the duration of data collection which will last for 45 days including travel time within the EAs/Clusters and LGAs.
The training contents covered among all:
- Survey design and roles of survey personnel
- Classroom sessions on questionnaires and manuals
- Mock interviews and role playing
- Questionnaire editing
- Field Practice
Data processing
Data editing began from the feild through the feild data editor and then the feild supervisor before getting to the state officers.
Then other stages through the processing include
(i) Desk officers at the zonal offices
(ii) Trained data editors from the headquarters sent to the zonal offices for data editing during the data entry
(iii) Data editing through the zonal offices editors before data entry
(iv) Competent data entry staff
(v) Verifiers
Data appraisal
A series of tables and graphs were genenrated
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| National Bureau of Statistics(NBS) | Fedral 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, Multiple Indicators Cluster Survey (MICS4, Nigeria 2011), version 1.0"
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 2012
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Dr Yemi Kale | SG National Bureau of Statistics | ykale@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mr E.O. Ekezie | Director Information and Communication Technology Department | eoekezie@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Biyi Fafunmi | Data Curator | biyifafunmi@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mr R.F. Busari | HOD Systems Programming & Operations | rfbusari@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| Mrs A. A. Akinsanya | Data Archivist | paakinsanya@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
| National Bureau of Statistics | Fedral Government of Nigeria (FGN) | feedback@nigerianstat.gov.ng | http://www.nigerianstat.gov.ng |
Metadata production
DDI_NGA_2011_MICS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| National Bureau of Statistics | Federal Republic of Nigeria | Data Producers |
2012-06-14
Metadata version
Version 1.1 (July 2012)
DDI and ID numbers, Title and Abbreviation fields edited by World Bank for World Bank Microdata Library