Nigeria - Multiple Indicator Cluster Survey (MICS4)-2011 Nigeria, Fourth round

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.