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A contest of competing caste elites in Bihar | Number Theory

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Updated on: Nov 6, 2025, 08:15:55 IST
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The first part of this series described how upper caste economic dominance has moved away from agriculture in Bihar. The second part of this series will explain the contours of political competition by caste and the third part will articulate the political economy which can actually lift the fortunes of Bihar’s majority.

Bihar Vidhan Sabha building.
Bihar Vidhan Sabha building.
A contest of competing caste elites in Bihar
  • The social skew among Bihar’s rich
    That material well-being follows the broad social hierarchy in India where Scheduled Castes (SC) and Scheduled Tribes (ST) are the worst off, the Other Backward Classes (OBCs) are middling, while the non-SC-ST-OBCs are at the top is a given. However, what is often lost in this broad generalisation are the granularities of sub-caste-level differences. Because the government of Bihar did a caste-survey with sub-caste-wise basic characteristics in 2023, Bihar is the only state in the country which has statistical information on sub-case-wise inequality. While the survey does not have wealth data and even its highest income category is capped at 50000 per month or above, it does give us something to analyse Bihar’s society. A basic comparison of sub-caste-wise relative shares among the richest by income category shows a wide divergence among different social groups in Bihar. The proverbial upper castes or non-SC-ST-OBCs are right at the top while SC and Extremely Backward Class (EBC) sub-groups are significantly behind.
  • The strong correlation between richer sub-castes and candidates of NDA, MGB
    Bihar’s caste calculus often speaks of the importance of mobilising the really downtrodden sub-castes among EBCs and Dalits. While every major political party wants their votes, when it comes to fielding candidates, they seem to prefer sub-castes which have a higher share of the rich in Bihar. This comes out clearly from the strong positive correlation between sub-caste-wise share among the richest in Bihar ( 50000 or more in monthly income) and total number of candidates put up by the two major alliances in the state, namely, the Mahagathbandhan (MGB) and National Democratic Alliance (NDA). The sub-caste-wise candidate data is from HT’s candidate database for these elections prepared by the second author of this story. This makes perfect sense from a realpolitik perspective as contesting elections in India requires a lot of money.
  • What Bihar really has is competing elites from two major blocks: Upper castes and Yadavs
    There are only four sub-castes in Bihar which have a more than 10% share in the overall pool of households with a monthly income higher than 50000. They are, descending order, Yadavs, Bhumihars, Brahmin and Rajputs. Yadavs are the largest sub-caste in terms of population share in Bihar and part of the Backward Class (BC) category. The other three are upper castes and their population share, put together, is lower than that of the Yadavs. However, their dominance among the relatively rich, makes up for their lack of dominance in the overall population. A sub-caste-wise breakup of MGB and NDA candidates shows that both of them are given almost half of their tickets to candidates from these four sub-castes. Of course, the Rashtriya Janata Dal (RJD) led MGB has fielded more Yadavs and the NDA has put up more upper caste candidates. This share becomes even larger if one were to exclude SC and ST reserve ACs and reaches almost 50. If agriculture is not really a site of caste or class conflict like it was until the 1990s in Bihar and electoral politics is essentially a contest between competing blocks of caste elites, then what can actually be a progressive political economy agenda for Bihar? This is what the concluding part of this series will try to answer.
 
ABOUT THE AUTHOR
Roshan Kishore

Roshan 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.

ABOUT THE AUTHOR
Nishant Ranjan

Nishant Ranjan has been working as a data journalist with Hindustan Times since 2023. In this short period, he has established a niche for creating original datasets and utilising them to produce journalistic work that pushes the boundaries of journalism. The list of datasets and stories done by him include the following: a dataset of all 717 chief ministers India has had since 1952, a dataset of all 3,350 members of India’s council of ministers, a dataset of all 190 deputy chief ministers in India and a dataset of all 279 Supreme Court judges in India (1950-2025). He has also profiled each elected Muslim MLA/MP since 1952. He is a mining engineer by training who decided to pursue a Master's in Development Studies from TISS after working in a coal mine for 10 months. He also worked as a research associate at the Centre for Policy Research, researching local governance in India. He also has a keen interest in analyzing electoral politics and political executives in India.

ABOUT THE AUTHOR
Abhishek Jha

Abhishek 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.

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