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Childfree Data Codebooks

Zachary Neal & Jennifer Watling Neal, Michigan State University

Table of Contents

  1. Introduction
  2. Codebooks
    1. Demographic and Health Surveys (DHS)
    2. National Survey of Family Growth
    3. State of the State Survey

Introduction

Welcome

Thank you for your interest in the childfree package! This vignette contains codebooks for dataframes created by the package’s functions from publicly-accessible data. The Introduction to Childfree vignette provides a more general introduction.

The childfree package can be cited as:

Neal, Z. P. and Neal, J. W. (2024). childfree: An R package to access and harmonize childfree demographic data. Comprehensive R Archive Network. https://cran.r-project.org/package=childfree

For additional resources on the childfree package, please see https://www.zacharyneal.com/childfree.

If you have questions about the childfree package or would like a childfree package hex sticker, please contact the maintainer Zachary Neal by email (zpneal@msu.edu). Please report bugs in the backbone package at https://github.com/zpneal/childfree/issues.

Demographic and Health Surveys (DHS)

This table summarizes the variables that are contained in dataframes generated from Demographic and Health Surveys data using dhs(). Female respondents’ variables begin with v, while male respondents’ variables begin with mv.

Variable Source Format Coding ______________________________
cf_want (m)v201
(m)v602
Binary 0 = Not childfree
1 = Childfree
cf_ideal (m)v201
(m)v613
Binary 0 = Not childfree
1 = Childfree
famstat (m)v201
(m)v602
(m)v613
Categorical 1 = Parent-Unclassified
2 = Parent-Fulfilled
3 = Parent-Unfulfilled
4 = Parent-Relunctant
5 = Parent-Ambivalent
6 = Not yet parent
9 = Childless-Biological
10 = Ambivalent non-parent
11 = Undecided
12 = Childfree
sex Categorical 1 = Female
2 = Male
age (m)v012 Numeric In years
education (m)v133 Numeric In years
partnered (m)v502 Categorical 1 = Single, never partnered
2 = Currently partnered
3 = Formerly partnered
residence (m)v102 Ordinal 1 = Rural
4 = Urban
employed (m)v714 Binary 0 = Not employed
1 = Employed
religion (m)v130 Categorical 1 = None,
2 = Catholic / Orthodox
3 = Muslim
4 = Jewish
5 = Protestant / Christian
6 = Other
7 = Buddhist
8 = Hindu
id (m)caseid string
country (m)v000 string
weight (m)v005 numeric
cluster (m)v021 numeric
strata (m)v023 numeric
file user string
survey “DHS” string
wave (m)v000 numeric
year (m)v007 numeric
month (m)v006 ordinal

back to Table of Contents

National Survey of Family Growth (NSFG)

This table summarizes the variables that are contained in dataframes generated from National Survey of Family Growth data using nsfg(). Variables noted with (F) or (M) are used for female and male respondents, respectively.

Variable Source Format Coding ______________________________
cf_want hasbabes (F)
everadpt (F)
seekadpt (F)
anykids (M)
rwant
Binary 0 = Not childfree
1 = Childfree
famstat hasbabes (F)
everadpt (F)
seekadpt (F)
anykids (M)
rwant
rstrstat
pstrstat
intend
jintend
Categorical 1 = Parent-Unclassified
3 = Parent-Unfulfilled
5 = Parent-Ambivalent
6 = Not yet parent
8 = Childless - Social
9 = Childless - Biological
10 = Ambivalent non-parent
11 = Undecided
12 = Childfree
sex Categorical 1 = Female
2 = Male
lgbt orient Binary 1 = Straight
2 = Gay/Lesbian
3 = Bisexual
4 = Something else
hispanic rscrhisp Binary 0 = Not hispanic
1 = Hispanic
race rscrrace Categorical 1 = White
2 = Black
3 = Hawaiian
4 = Asian
5 = American Indian
6 = Other
age age_r Numeric In years
education higrade
dipged
degrees
Ordinal 2 = Did not graduate high school
3 = High School graduate
4 = Some college
5 = College graduate
7 = Graduate degree
partnered marstat Categorical 1 = Single, never partnered
2 = Currently partnered
3 = Formerly partnered
residence metro Ordinal 1 = Rural
3 = Suburb
4 = Urban
employed rwrkst Binary 0 = Not employed
1 = Employed
inschool goschol Binary 0 = Not in school
1 = In school
religion relcurr Categorical 1 = None
2 = Catholic / Orthodox
5 = Protestant / Christian
6 = Other
bother chbother Ordinal 1 = Not at all
2 = A little
3 = Some
4 = A great deal
id caseid string
country “United States” string
weight wgt2017_2019
wgt2015_2019
wtg2013_2015
wtg2011_2013
WGTQ1Q16
finalwgt
numeric
cluster secu numeric
stratum sest numeric
file user string
survey “NSFG” string
wave user string
year cmintvw numeric
month cmintvw ordinal

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State of the State Survey (SOSS)

This table summarizes the variables that are contained in dataframes generated from State of the State Survey data using soss().

Variable Source Format Coding ______________________________
cf_want neal1
neal2
neal3
Binary 0 = Not childfree
1 = Childfree
famstat neal1
neal2
neal3
Categorical 1 = Parent-Unclassified
6 = Not yet parent
7 = Childless - Unclassified
10 = Ambivalent non-parent
11 = Undecided
12 = Childfree
sex cd1 Categorical 1 = Female
2 = Male
3 = Other
lgbt neal11
(wave 84 only)
Binary 0 = Not LGBT
1 = LGBT
hispanic cd5a Binary 0 = Not hispanic
1 = Hispanic
race cd4_1
cd4_2
cd4_3
cd4_4
cd4_5
cd4_6
Categorical 1 = White
2 = Black
3 = Hawaiian
4 = Asian
5 = American Indian
6 = Other
7 = Multiracial
age cd2 Numeric In years
education cd3 Ordinal 1 = No education
2 = Did not graduate high school
3 = High School graduate
4 = Some college
5 = College graduate
6 = Some post-graduate
7 = Graduate degree
partnered cd8 Categorical 1 = Single, never partnered
2 = Currently partnered
3 = Formerly partnered
residence x1 Ordinal 1 = Rural
2 = Town
3 = Suburb
4 = Urban
employed cd15 Binary 0 = Not employed
1 = Employed
inschool cd15 Binary 0 = Not in school
1 = In school
ideology ideology Ordinal 1 = Very conservative
2 = Somewhat conservative
3 = Closer to the conservative side
4 = In the middle
5 = Closer to the liberal side
6 = Somewhat liberal
7 = Very liberal
religion cd6 Categorical 1 = None
2 = Catholic / Orthodox
3 = Muslim
4 = Jewish
5 = Protestant / Christian
6 = Other
id caseid string
country “United States” string
weight weight numeric
file user string
survey “SOSS” string
wave user string
year documentation numeric
month documentation ordinal

back to Table of Contents

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.