Type: Package
Title: Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History of Children 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 Household questionnaire 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 (http://www.mics.unicef.org/surveys).
Depends: R (≥ 3.5.0)
Imports: tibble
License: GPL-2
URL: https://github.com/myaseen208/PakPMICS2018bh, https://myaseen208.github.io/PakPMICS2018bh/
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: 2019-06-01 06:03:34 UTC; myaseen
Repository: CRAN
Date/Publication: 2019-06-03 14:00:03 UTC

Multiple Indicator Cluster Survey (MICS) 2018 Child Questionnaire Data for Punjab, Pakistan

Description

PakPMICS2018bh data of Child questionnaire, MICS Punjab, 2014.

Usage

data(PakPMICS2018bh)

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

BH0

Line Number

BH2

Twins

BH3

Sex of child

BH4D

Day of birth

BH4M

Month of birth

BH4Y

Year of birth

BH4A

Premature birth (Birth before 37 weeks of pregnancy)

BH5

Still alive

BH6

Age of child

BH7

Living with respondent

BH8

Line number of child in HH

BH9U

Age at death (units)

BH9N

Age at death (number)

BH10

Any other between births

BH4C

Date of birth of child (CMC)

BH4F

Date flag for BH4C

BH9C

Age at death months (imputed)

BH9F

Date flag for BH9C

HH4

Supervisor number

HH6

Area

WDOI

Date of interview women (CMC)

WDOB

Date of birth of woman (CMC)

majorcity

majorcity

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

hh6r

Area

suburban

suburban

hh7

Districts

BHLN

BHLN

brthord

Birth order

magebrt

Mother's age at birth

birthint

Previous birth interval

welevel

Mother's education

disability

Functional difficulties (age 18-49 years)

insurance

Health insurance

BH4D_first

Day of birth

BH4M_first

Month of birth

BH4Y_first

Year of birth

BH6_first

Age of child

BH3_last

Sex of newborns

BH4D_last

Day of birth

BH4M_last

Month of birth

BH4Y_last

Year of birth

BH6_last

Age of child

wmweight

Woman's sample weight

stratum

stratum

psu

psu

Author(s)

  1. Muhammad Yaseen (myaseen208@gmail.com)

  2. Muhammad Usman (usmann75@hotmail.com)

References

  1. UNICEF MICS (http://www.mics.unicef.org/surveys).

Examples

data(PakPMICS2018bh)