PakPMICS2018: Multiple Indicator Cluster Survey (MICS) 2017-18 Data for Punjab, Pakistan

Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of SDG monitoring, as the survey produces information on 32 global SDG indicators. The data was collected from 53,840 households selected at the second stage with systematic random sampling out of a sample of 2,692 clusters selected using Probability Proportional to size sampling. Six questionnaires were used in the survey: (1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a water quality testing questionnaire administered in three households in each cluster of the sample; (3) a questionnaire for individual women administered in each household to all women age 15-49 years; (4) a questionnaire for individual men administered in every second household to all men age 15-49 years; (5) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and (6) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household (<>).

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: tibble
Suggests: testthat, R.rsp
Published: 2020-01-25
DOI: 10.32614/CRAN.package.PakPMICS2018
Author: Muhammad Yaseen ORCID iD [aut, cre]
Maintainer: Muhammad Yaseen <myaseen208 at>
License: GPL-2 | GPL-3
Copyright: 2019-2020, UAF
NeedsCompilation: no
Citation: PakPMICS2018 citation info
Materials: README NEWS
CRAN checks: PakPMICS2018 results


Reference manual: PakPMICS2018.pdf
Vignettes: MICS6 Household Questionnaire
MICS6 Questionnaire for Children Age 5-17
MICS6 Questionnaire for Children Under Five
MICS6 Questionnaire for Individual Men
MICS6 Questionnaire for Individual Women
MICS6 Water Quality Testing Questionnaire


Package source: PakPMICS2018_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PakPMICS2018_1.0.0.tgz, r-oldrel (arm64): PakPMICS2018_1.0.0.tgz, r-release (x86_64): PakPMICS2018_1.0.0.tgz, r-oldrel (x86_64): PakPMICS2018_1.0.0.tgz
Old sources: PakPMICS2018 archive


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