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The history of caste in the Bihar assembly - 1 | Number Theory

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Updated on: Oct 31, 2025, 19:17:52 IST
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On October 27, HT launched a complete caste database – it has been prepared by the first author of this story – of Bihar’s 3,629 MLAs from 1962 onwards in these pages. The methodology and possible limitations of this database were mentioned in that piece. The first story based on the database looked at the representation of Muslims in the Bihar assembly.

Election paraphernalia on display at a shop in Patna ahead of Bihar assembly polls 2025. (Santosh Kumar/ HT Photo)
Election paraphernalia on display at a shop in Patna ahead of Bihar assembly polls 2025. (Santosh Kumar/ HT Photo)

From today, we begin a three-part series looking at overall caste dynamics in Bihar assembly from 1962.

The first part of the story will provide summary stats on the overall social composition of all MLAs in the database and compare this with the social breakup of the population to ascertain its social representation or lack of it.

The second part of the series will look at the change in social profile of Bihar’s MLAs over time and whether there are discernible patterns which can be seen along with the change in the state’s overall politics.

The third part of the series will look at the party-wise nature of caste-representation in the Bihar assembly.

The history of caste in the Bihar assembly
  • Listicle image
    Hindu backward classes have had the highest number of MLAs in Bihar
    Of the 3,629 MLAs in our database, the highest number (1292 or 35.6%) are from Hindu subcastes which are broadly classified as Backward Classes (BCs) in Bihar. They are closely followed by the Hindu upper castes who do not belong to either Other Backward Class (OBC), Scheduled Caste (SC) or Scheduled Tribe (ST) categories. SCs are ranked third , which is a reflection of the legislative reservation for them. They are followed by Muslims and Extremely Backward Classes (EBC). For context, the broad OBC category is divided into BCs and EBCs in Bihar. A comparison with corresponding population share of each social group from the 2023 caste survey – to be sure, caste-wise population shares would have been different in the past than they are today – conducted by the Bihar government shows that Hindu upper castes have the highest representation, while Hindu EBCs have the lowest representation in Bihar assembly relative to their population, excluding STs, who have less than 2% share in the state’s population.
  • Listicle image
    At the sub-caste level, Yadavs lead the overall MLA count
    Out of 3,629 MLAs in our database, 734 are Yadavs, the highest for any subcaste. They are followed by Rajputs, Bhumihars, Muslims and Brahmins. To be sure, Muslims contain various subcastes within themselves, but this analysis has taken them as a homogeneous block. If one were to compare the composition of MLAs in Bihar at the subcaste level along with their population share from the 2023 caste survey, then the social inequality in political representation becomes much more acute than when analysed at the broad social-group level. Hindu upper castes, such as Bhumihars and Rajputs, have a significantly higher relative representation among Bihar MLAs and the overall advantage of Yadavs becomes moderate once adjusted for population. However, what is far more damning is that just 10 Hindu subcastes with a population share of 44.9% account for 80.5% of Bihar’s MLAs.
  • Listicle image
    The sub-region-wise caste dynamics in Bihar
    Bihar can broadly be divided into seven sub-regions: Bhagalpur-Munger, Bhojpur, Magadh, Mithila, Saran, Seemanchal and Tirhut. While the social composition of MLAs has been broadly similar across regions, except for a Muslim dominance in the Seemanchal sub-region there are some noticeable differences such as a higher share of upper castes and BCs in Saran and Magadh sub-regions. However, the real difference at the sub-region level can be seen in subcaste-wise-representation. For example, within upper castes, Brahmins have a much higher representation in the Mithila and Bhojpur sub-regions, while Rajputs have had a very high share of MLAs from the Saran sub-region. Among BCs, Kurmis are mostly confined to the Magadh sub-region while Yadavs have had a more than 20% share in MLAs from four sub-regions in the state.
  • Nishant Ranjan
    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.Read More

  • Roshan Kishore
    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.Read More

  • Abhishek Jha
    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.Read More

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