A multilevel analysis of the predictive effects of internal migration and region of residence on women’s empowerment in Nigeria

BACKGROUND: Despite growing research interest on the influences of migration and regions of residence on human behaviors, studies on the influences of migration and region of residence on women empowerment especially in sub-Saharan Africa are lacking. Thus, this study investigated migration status and region of residence as correlates of women empowerment in Nigeria. METHODS: The study utilized data of 37,762 women aged 15-49 years from the 2024 Nigeria Demographic and Health Survey. The outcome variables were indices of household decision making, financial decision-making, sexual right, experience of wife beating, and tolerance of wife beating while the contextual variables were migration status and region of residence. Analyses were carried out using descriptive statistics, chi-square tests and multilevel logistic regression models. RESULTS: More women (78%) reported good domestic violence index, while 67% were involved in good sexual rights index and 38% of the women indicated good household decision making index. The full model indicated significantly lower odds of women being involved in household decision making (OR = 0.90, p < 0.05), financial decision making (OR = 0.35, p < 0.000) and the experience of wife beating (OR = 0.02, p < 0.000). On the other hand, good their sexual right (OR = 1.05, p > 0.05) and tolerance of wife beating (OR = 1.28, p < 0.05) indicated increased odds. All the regions with the exception of the North East region were significantly associated with increased likelihoods of household decision, financial decision and domestic violence indices. Rural non-migrants, urban non-migrants, as well as rural-urban and urban-urban migrants were significantly associated with increased likelihood of low tolerance of wife beating index. Other covariates which significantly increased the odds of women empowerment in at least three of the outcome indices were higher education levels, higher education levels of spouses, being of Igbo ethnicity and regions of residence. CONCLUSION: The study has shown that contextual-level factors of migration status and region of residence significantly influenced women empowerment indices. The findings demonstrate that regional inequalities and migration dynamics are central to understanding women's empowerment in Nigeria.

Authors

Institutions

Publication Details

Journal
BMC Women s Health
Published
2026-08-18
DOI
https://doi.org/10.1186/s12905-026-04805-4
Primary Topic
Educational, Social, and Political Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multilevel analysis of the predictive effects of internal migration and region of residence on women’s empowerment in Nigeria

Ugochukwu Simeon Asogwa, Oliver Razum, Ijeoma D. Ajaero, Chukwuedozie K. Ajaero
BMC Women s Health
Educational, Social, and Political Issues
article

A multilevel analysis of the predictive effects of internal migration and region of residence on women’s empowerment in Nigeria

Ugochukwu Simeon Asogwa, Oliver Razum, Ijeoma D. Ajaero, Chukwuedozie K. Ajaero
article en

Abstract

BACKGROUND: Despite growing research interest on the influences of migration and regions of residence on human behaviors, studies on the influences of migration and region of residence on women empowerment especially in sub-Saharan Africa are lacking. Thus, this study investigated migration status and region of residence as correlates of women empowerment in Nigeria. METHODS: The study utilized data of 37,762 women aged 15-49 years from the 2024 Nigeria Demographic and Health Survey. The outcome variables were indices of household decision making, financial decision-making, sexual right, experience of wife beating, and tolerance of wife beating while the contextual variables were migration status and region of residence. Analyses were carried out using descriptive statistics, chi-square tests and multilevel logistic regression models. RESULTS: More women (78%) reported good domestic violence index, while 67% were involved in good sexual rights index and 38% of the women indicated good household decision making index. The full model indicated significantly lower odds of women being involved in household decision making (OR = 0.90, p < 0.05), financial decision making (OR = 0.35, p < 0.000) and the experience of wife beating (OR = 0.02, p < 0.000). On the other hand, good their sexual right (OR = 1.05, p > 0.05) and tolerance of wife beating (OR = 1.28, p < 0.05) indicated increased odds. All the regions with the exception of the North East region were significantly associated with increased likelihoods of household decision, financial decision and domestic violence indices. Rural non-migrants, urban non-migrants, as well as rural-urban and urban-urban migrants were significantly associated with increased likelihood of low tolerance of wife beating index. Other covariates which significantly increased the odds of women empowerment in at least three of the outcome indices were higher education levels, higher education levels of spouses, being of Igbo ethnicity and regions of residence. CONCLUSION: The study has shown that contextual-level factors of migration status and region of residence significantly influenced women empowerment indices. The findings demonstrate that regional inequalities and migration dynamics are central to understanding women's empowerment in Nigeria.

BMC Women s HealthVol. 26(1)
University of Nigeria (NG), Bielefeld University (DE), Hochschule Bielefeld (DE), University of Johannesburg (ZA)
Gender equality
Openalex Percentile: Top 4%
Educational, Social, and Political Issues
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.