Shadows of Inequality: Exploring the Prevalence and Factors of Discrimination and Harassment in Nigeria

Discrimination and harassment (DH) against women are topics of broad concern to gender equality advocates. This study aimed to investigate the prevalence of DH against women in Nigeria, based on seven specific forms of DH captured in the 2021 Nigeria Multiple Indicator Cluster Survey (MICS), and to identify key socio-demographic factors associated with an aggregated DH outcome variable. Drawing upon data from 38,806 women aged 15–49, we used descriptive statistics to summarize the prevalence of DH across seven reasons and the socio-demographic characteristics of respondents, followed by chi-square analysis to test bivariate associations and binary logistic regression to identify predictors. Results showed that the prevalence of DH against Nigerian women (18.9%) was significantly associated with socio-demographic factors such as age, education level, wealth index, marital status, and ethnicity. At the individual level, women who felt very unhappy had higher odds of experiencing DH (OR = 3.101, 95% CI: 2.393–4.018, p < 0.001) compared to those who felt very happy. In contrast, women with higher/tertiary education (OR = 0.686, 95% CI: 0.560–0.842, p < 0.001) were 31.4% less likely to face DH than those with no education. Regionally, respondents living in Zamfara (OR = 5.045, 95% CI: 3.072–8.288, p < 0.001) were over five times more likely to experience DH than those in Kano state. The findings underscore the need for policy interventions and support systems to address DH against women in Nigeria.

Authors

Institutions

Publication Details

Journal
Social Sciences
Published
2025-08-29
DOI
https://doi.org/10.3390/socsci14090520
Primary Topic
Poverty, Education, and Child Welfare
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shadows of Inequality: Exploring the Prevalence and Factors of Discrimination and Harassment in Nigeria

Paul N. Newton, Tayyab Shah, Yu Zan
Social Sciences
Poverty, Education, and Child Welfare
article

Shadows of Inequality: Exploring the Prevalence and Factors of Discrimination and Harassment in Nigeria

Paul N. Newton, Tayyab Shah, Yu Zan
article en

Abstract

Discrimination and harassment (DH) against women are topics of broad concern to gender equality advocates. This study aimed to investigate the prevalence of DH against women in Nigeria, based on seven specific forms of DH captured in the 2021 Nigeria Multiple Indicator Cluster Survey (MICS), and to identify key socio-demographic factors associated with an aggregated DH outcome variable. Drawing upon data from 38,806 women aged 15–49, we used descriptive statistics to summarize the prevalence of DH across seven reasons and the socio-demographic characteristics of respondents, followed by chi-square analysis to test bivariate associations and binary logistic regression to identify predictors. Results showed that the prevalence of DH against Nigerian women (18.9%) was significantly associated with socio-demographic factors such as age, education level, wealth index, marital status, and ethnicity. At the individual level, women who felt very unhappy had higher odds of experiencing DH (OR = 3.101, 95% CI: 2.393–4.018, p < 0.001) compared to those who felt very happy. In contrast, women with higher/tertiary education (OR = 0.686, 95% CI: 0.560–0.842, p < 0.001) were 31.4% less likely to face DH than those with no education. Regionally, respondents living in Zamfara (OR = 5.045, 95% CI: 3.072–8.288, p < 0.001) were over five times more likely to experience DH than those in Kano state. The findings underscore the need for policy interventions and support systems to address DH against women in Nigeria.

Social SciencesVol. 14(9)
University of Saskatchewan (CA)
UNICEF
Openalex Percentile: Top 77%
Poverty, Education, and Child Welfare
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.