The caste inequality in Bihar’s labour market | Number Theory
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The first of this three-part data journalism series looked at the overall size and occupational distribution of Bihar’s workforce -- something that shapes a state’s economic fortunes. To be sure, there are other factors influencing this, including worker-productivity and income levels -- both of which are a function of education. The second part looked at the educational status of Bihar’s labour force and the relative wage premium for Bihar’s unskilled workers because of migration. The concluding part of the series will look at the caste-based inequality in Bihar’s labour force.

Upper castes can live off family enterprises and Scheduled Castes are poorly represented in salaried jobsThe most basic parameter to compare caste inequality in the labour market is to look at the caste-wise distribution of workers in different kinds of jobs. The Periodic Labour Force Survey (PLFS) classifies workers into four categories: self-employed, unpaid workers in household enterprises, casual workers, and regular workers. Regular workers are normally the best paid workers while casual workers are the least paid. Comparing social group-wise share in different kinds of employment for 2024 shows that workers who do not belong to either Other Backward Classes (OBCs), Scheduled Caste (SC) or Scheduled Tribe (ST) have the highest over-representation advantage among unpaid workers in Bihar compared to the average non-SC/ST/OBC worker in India. This should be seen as a reflection of the relative well-being of the non-SC-ST-OBC population in the state, which can afford to work without wages instead of migrating. The under-representation is the highest for SC workers in regular jobs in Bihar. Because Bihar has a very low share of ST population (1.3% according to the 2011 census), the analysis has excluded STs.
Upper castes lead in quality and government jobs, but state lacks a vibrant white-and-blue-collar workforceNot all salaried jobs are equal. The PLFS data actually accounts for this by classifying them into government and private and with or without a written contract. A social-group wise comparison of Bihar and all-India numbers for 2024 PLFS shows that non-SC-SC-ST-OBCs have a huge advantage when it comes to their share in government jobs with or without written contracts in Bihar. What is counter-intuitive is the fact that even OBCs and SCs are overrepresented in these kinds of jobs in the state. However, all social groups in the state are poorly represented in private salaried jobs with written contracts (the more high-paying ones). This lack of a vibrant white-collar and even blue-collar (more on this later) economy, which is almost caste agnostic in nature, is the biggest indictment of Bihar’s lack of development.
All social groups overrepresented in agriculture but lag in manufacturing and private servicesEvery major social group in Bihar is more likely to be over-represented in agricultural employment in Bihar than at the national level. In fact, the over-representation is highest for the non-SC-ST-OBC workers. On the other hand, the disadvantage Bihar faces in the share of workers who are employed in manufacturing or high-value private services is also caste-agnostic. Bihar does have a caste-specific over-representation in sectors such as construction (on account of OBCs and SCs) and public administration, defence and other services (on account of non-SC-ST-OBCs), which is in keeping with the trends described in the previous section.- At least some of these trends are explained by education levelFor example, a person in the labour force from the non-SC/ST/OBC groups in Bihar is more likely to be a graduate than such an average non-SC/ST/OBC person in the labour force in India. This explains why the group appears less likely to migrate for casual work and is over-represented in high quality jobs. On the other hand, a person in the labour force from SC and OBC groups is far more likely to be illiterate or have no formal schooling in Bihar than at the national level. This explains their readiness to migrate as well as work casual jobs in Bihar.
ABOUT THE AUTHORAbhishek JhaAbhishek Jha is Assistant Editor-Data at Hindustan Times. He uses statistical programming to generate newsworthy insights from large datasets. He is part of the team that produces Number Theory, a daily data story feature of the paper’s print edition. Since March 2024, he has been writing Weather Bee, a weekly column for the Hindustan Times website. He is a chemical engineer by training, who specialises in stories related to weather, climate, and the environment. Jha has been at HT since 2018, where he offers data-driven perspective and analysis on politics, environment, weather, climate, economy and society. His work includes data coverage of elections in India and abroad, including the 2019 and 2024 Lok Sabha elections; the disasters and extreme weather resulting from changing climate, such as floods, droughts, heat waves, cold waves, and dwindling snow cap in the Himalayas; the factors that drive poor air quality in northern India; the changing patterns of land use; the Covid-19 pandemic and its impact on labour market conditions; the changing pattern of consumer spending seen in the new consumer spending surveys; and social norms seen in the surveys such as the National Family Health Survey.Read More
ABOUT THE AUTHORRoshan KishoreRoshan Kishore is the Data and Political Economy Editor at Hindustan Times. He heads the newsroom's data journalism team, which produces Number Theory, a daily data-driven feature for the print edition and the HT app. Number Theory uses data analysis and story-telling based on it to add value to the newsroom’s daily coverage by putting stories in a larger context on a range of issues, including politics, macroeconomy, markets, global affairs and climate. Under his leadership HT’s data journalism work has established itself as a niche product in Indian journalism and pushed the boundaries of marrying academic rigour with news sense and speed. Along with writing and editing data stories, he has also been writing a weekly political economy column called Terms of Trade for HT Premium. A trained economist with an MPhil degree from Jawaharlal Nehru University, Kishore has also been a visiting fellow at the Centre for Advanced Studies of India (CASI) at the University of Pennsylvania. Along with his journalistic work, his writings have also appeared in journals such as the Economic and Political Weekly and working papers for CASI and UNESCAP.Read More

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