Labour Market and Disabled Persons Among Dalits in India: Insights from the NSSO Data

This article presents the status of disabled individuals belonging to Scheduled Castes (SCs) and Scheduled Tribes (STs) in India. The study highlights the challenges individuals face in entering the labour market. It draws insights from the National Sample Survey. The study uses the logit regression model to examine the impact of disability on labour force participation among SCs and STs. We found that disabled SCs with primary, secondary and graduate education have a lower workforce participation rate than uneducated SC counterparts in the age group of 15–59 years. However, disabled STs with primary, secondary and graduate education have a slightly higher workforce participation rate compared to uneducated STs in the same age group. We observed similar trends across all age groups for both SCs and STs. Furthermore, we found that gender, sector and technical education significantly impacted the workforce participation rate among these groups during the same period.

Authors

Institutions

Publication Details

Journal
Indian Journal of Human Development
Published
2026-09-20
DOI
https://doi.org/10.1177/09737030261480070
Primary Topic
Disability Rights and Representation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Labour Market and Disabled Persons Among Dalits in India: Insights from the NSSO Data

Shiba Shankar Pattayat, Jagadeesh Gontupulugu, Arvind Kumar Yadav
Indian Journal of Human Development
Disability Rights and Representation
article

Labour Market and Disabled Persons Among Dalits in India: Insights from the NSSO Data

Shiba Shankar Pattayat, Jagadeesh Gontupulugu, Arvind Kumar Yadav
article en

Abstract

This article presents the status of disabled individuals belonging to Scheduled Castes (SCs) and Scheduled Tribes (STs) in India. The study highlights the challenges individuals face in entering the labour market. It draws insights from the National Sample Survey. The study uses the logit regression model to examine the impact of disability on labour force participation among SCs and STs. We found that disabled SCs with primary, secondary and graduate education have a lower workforce participation rate than uneducated SC counterparts in the age group of 15–59 years. However, disabled STs with primary, secondary and graduate education have a slightly higher workforce participation rate compared to uneducated STs in the same age group. We observed similar trends across all age groups for both SCs and STs. Furthermore, we found that gender, sector and technical education significantly impacted the workforce participation rate among these groups during the same period.

Indian Journal of Human Development
Manipur University (IN), Christ University (IN)
Gender equality
Openalex Percentile: Top 7%
Disability Rights and Representation
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.