| Type: | Package | 
| Title: | Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mortality Questionnaire Data for Punjab, Pakistan | 
| Version: | 0.1.0 | 
| Author: | Muhammad Yaseen [aut, cre], Muhammad Usman [ctb] | 
| Maintainer: | Muhammad Yaseen <myaseen208@gmail.com> | 
| Description: | Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mortality questionnaire data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of Sustainable Development Goals (SDGs) monitoring, as the survey produces information on 32 global Sustainable Development Goals (SDGs) 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 (http://www.mics.unicef.org/surveys). | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | tibble | 
| License: | GPL-2 | 
| URL: | https://github.com/myaseen208/PakPMICS2018mm, https://myaseen208.github.io/PakPMICS2018mm/ | 
| Encoding: | UTF-8 | 
| LazyData: | true | 
| RoxygenNote: | 6.1.1 | 
| Note: | Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan. | 
| Suggests: | testthat, R.rsp | 
| VignetteBuilder: | R.rsp | 
| NeedsCompilation: | no | 
| Packaged: | 2019-06-08 05:31:19 UTC; myaseen | 
| Repository: | CRAN | 
| Date/Publication: | 2019-06-08 09:40:03 UTC | 
Multiple Indicator Cluster Survey (MICS) 2018 Child Questionnaire Data for Punjab, Pakistan
Description
PakPMICS2018mm data of Child questionnaire, MICS Punjab, 2014.
Usage
data(PakPMICS2018mm)
Format
A data frame with 157899 rows and 62 variables:
- HH1
- Cluster number 
- HH2
- Household number 
- WM1
- Cluster number 
- WM2
- Household number 
- WMINT
- Interviewer number 
- WM3
- Woman's line number 
- LN
- Line number 
- MMLN
- Sibling's line number 
- MM15
- Sibling's gender 
- MM16
- Sibling still alive 
- MM17
- Age of sibling 
- MM18
- Years since death 
- MM19
- Age at death of sibling 
- MM22
- Pregnant when died 
- MM23
- Died during the childbirth 
- MM24
- Died within two months after the end of a pregnancy or childbirth 
- MM25
- Days after the end of the pregnancy or childbirth did die 
- MM26
- Death due to an act of violence 
- MM27
- Death due to an accident 
- HH4
- Supervisor number 
- HH6
- Area 
- WDOI
- Date of interview women (CMC) 
- WDOB
- Date of birth of woman (CMC) 
- wscore
- Combined wealth score 
- windex5
- Wealth index quintile 
- windex10
- Percentile Group of com1 
- wscoreu
- Urban wealth score 
- windex5u
- Urban wealth index quintile 
- windex10u
- Percentile Group of urb1 
- wscorer
- Rural wealth score 
- windex5r
- Rural wealth index quintile 
- windex10r
- Percentile Group of rur1 
- division
- Division 
- majorcity
- majorcity 
- hh6r
- Area 
- suburban
- hh7
- Districts 
- welevel
- Education 
- disability
- Functional difficulties (age 18-49 years) 
- insurance
- Health insurance 
- wmweight
- Woman's sample weight 
- stratum
- stratum 
- psu
- psu 
Author(s)
- Muhammad Yaseen (myaseen208@gmail.com) 
- Muhammad Usman (usmann75@hotmail.com) 
References
- UNICEF MICS (http://www.mics.unicef.org/surveys). 
Examples
data(PakPMICS2018mm)