Women who remain unmarried after their thirties in India

This study analyses the dynamics of never-married women aged 30 years and above in India over three periods: 2005-06, 2015-16 and 2019-21 based on different socio-demographic dimensions. It analyses never-married women in India and uses data from three rounds of the National Family Health Survey (NFHS). The analysis examines different variables of interest such as rural-urban differences, educational attainment, types of occupation and wealth index followed by religion and caste. The results are nuanced and capture the intricacies of broad national trends and regional dynamics. Of course, such an overarching trend masks wide regional variation. On one hand, it is the states like Jammu and Kashmir, Himachal Pradesh, Sikkim etc., where there has been prevalence of this trend showing an upward trend that marriage patterns are on change. On the other hand, states like Haryana and Bihar are showing a steady decrease which speaks about the effect of regional cultural dynamics. Moreover, the fluctuations in states like Meghalaya, and Assam reaffirm how multi-parameter is determining marital choices. The binary logistic regression used in the study analyses the effect of place of residence, education, occupation, wealth index, religion and caste on women’s chances to remain unmarried. The regression analysis demonstrates the distinct influences of these factors on marital status and yet they still only tell part of the story about an understudied subgroup, never-married women.

Authors

Institutions

Publication Details

Journal
SIMULACRA JURNAL SOSIOLOGI
Published
2024-11-21
DOI
https://doi.org/10.21107/sml.v7i2.24208
Citations
1
Primary Topic
Demographic Trends and Gender Preferences
Type
article
Field-Weighted Citation Impact
0.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Women who remain unmarried after their thirties in India

N. Pautunthang
1 citations
SIMULACRA JURNAL SOSIOLOGI
Demographic Trends and Gender Preferences
0.93
article

Women who remain unmarried after their thirties in India

N. Pautunthang
article en
1 citations

Abstract

This study analyses the dynamics of never-married women aged 30 years and above in India over three periods: 2005-06, 2015-16 and 2019-21 based on different socio-demographic dimensions. It analyses never-married women in India and uses data from three rounds of the National Family Health Survey (NFHS). The analysis examines different variables of interest such as rural-urban differences, educational attainment, types of occupation and wealth index followed by religion and caste. The results are nuanced and capture the intricacies of broad national trends and regional dynamics. Of course, such an overarching trend masks wide regional variation. On one hand, it is the states like Jammu and Kashmir, Himachal Pradesh, Sikkim etc., where there has been prevalence of this trend showing an upward trend that marriage patterns are on change. On the other hand, states like Haryana and Bihar are showing a steady decrease which speaks about the effect of regional cultural dynamics. Moreover, the fluctuations in states like Meghalaya, and Assam reaffirm how multi-parameter is determining marital choices. The binary logistic regression used in the study analyses the effect of place of residence, education, occupation, wealth index, religion and caste on women’s chances to remain unmarried. The regression analysis demonstrates the distinct influences of these factors on marital status and yet they still only tell part of the story about an understudied subgroup, never-married women.

SIMULACRA JURNAL SOSIOLOGIVol. 7(2)
Institute for Social and Economic Change (IN)
Gender equality
Openalex Percentile: Top 19%
Demographic Trends and Gender Preferences
0.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.