Caste Census

Recently the Union Cabinet approved caste enumeration during the next Census for the first time since Independence.

What is a Caste Census?

• A caste census involves collecting data on the caste identity of citizens during population enumeration.
• The last caste-wise Census was in 1931 under British rule.
• The upcoming Census will be digital and split into two phases, with caste data collection expected in the second phase.
• The Census will use a mobile application with a drop-down caste directory to avoid data duplication and inconsistencies.
  • Currently there are about 2,650 OBC communities in the Central list, 1,170 in the SC category, and 890 communities in the ST list.
  • The State governments maintain their own list of OBC groups.
• The caste census will be integrated into the 2021 Census
• A pre-test of the new software and data collection mechanism will be conducted to ensure accuracy and efficiency.
• Around 30 lakh officials will need to be retrained for the digital caste enumeration process.

History and Background of the Caste Census in India

Origins and Early Background

• The caste system is one of the world’s longest-surviving social hierarchies, over 2,000 years old, rooted in Hindu varna categories:
  • Brahmins (priests), Kshatriyas (rulers), Vaishyas (traders), Shudras (laborers), and the excluded groups labeled “untouchables” or Dalits.
• Caste historically determined occupation, ritual purity, social status, and access to resources.
• It was reinforced through strict endogamy, social taboos, and village segregation, as seen even today with Dalits excluded from public wells, temples, and village centers.

British Era and Caste Enumeration

• First systematic attempt to count castes: 1871–72 Census
  • The British colonial administration wanted to catalog Indian society for administrative and revenue purposes.
• Subsequent censuses: 1881, 1891, 1901, 1911, 1921, and 1931 all included caste enumeration.
  • The 1901 Census under Herbert Risley classified Indian society by caste and race, reinforcing social stereotypes and cementing caste identities in official records.
• 1931 Census: The last comprehensive caste census that covered all jatis.
  • Its data later became the statistical base for post-independence policymaking, including the Mandal Commission (1979-80).

Post-Independence Shift: Dropping Caste from Census

• After 1947, India chose not to continue caste enumeration in the general census to:
  • Promote national unity.
  • Avoid deepening caste divisions.
  • Focus on economic and social development over identity politics.
• 1951 Census onward: Only Scheduled Castes (SCs) and Scheduled Tribes (STs) were enumerated.
  • Other castes, especially OBCs, were left out of formal headcounts.

Mandal Commission (1979-80)

• Relied on 1931 Census data to estimate that OBCs formed ~52% of India’s population.
• Recommended 27% reservations for OBCs in central government jobs and education.
• Highlighted the lack of updated caste data as a challenge to scientific policymaking.

Demand for Caste Census 

• Political Push: The demand for a caste census has long been voiced by parties with significant OBC support, including the RJD, SP, DMK, and JDU.
  • These parties argue that accurate data are necessary for equitable representation and targeted social welfare policies.
  • The Congress party, after years of ambiguity, also supported the caste census ahead of the 2024 Lok Sabha elections.
• Institutional Advocacy: The National Commission for Backward Classes has urged the inclusion of OBC data in the Census since 2021.
• Judicial Directive: Several petitions demanding caste enumeration are currently pending before the Supreme Court.
  • The Indra Sawhney judgement of 1992 [Mandal Commission verdict] the Supreme Court  said that Caste census has to be done periodically.
  • However in 2024 the Supreme Court refused to direct the Central government to conduct Caste Census stating it to be a governance issue.
• State Initiatives: States like Bihar, Karnataka, and Telangana have independently conducted caste surveys.
  • The Centre’s decision to include caste data in the next Census aligns with these trends, reflecting the rising demand for caste-based data in governance and electoral politics.

Different Caste Censuses in India in Recent Times

• Socio-Economic and Caste Census (SECC)
• • The SECC, initiated in 2011, aimed to assess the socio-economic status of households and collect caste details.
  • It was distinct from the regular Census and conducted to identify deprivation and aid in welfare targeting. 
  • The data from the SECC were handed to the Ministry of Social Justice.
  • However, the caste data from SECC remains unpublished due to issues like inconsistent caste name entries (over 46 lakh variations) and classification challenges.
• Bihar Caste Survey (2023)
  • It was conducted by the state government to assess caste-wise population, landholding, income, and education status.
  • It revealed OBCs and EBCs form 63.13% of the population, while upper castes account for 15.52%, challenging older assumptions.
  • Despite generating political momentum, its key outcomes—like raising reservations to 65%—faced legal setbacks, and financial support schemes remain largely unimplemented.
• Karnataka Caste Survey (2025)
  • The Karnataka survey, initiated as the Socio-Economic and Education Survey in 2015, was completed and released in 2025 after delays.
  • It found OBCs make up 69.6% of the population, while dominant groups like Vokkaligas and Lingayats were reported lower than expected.
  • The report recommended expanding OBC quotas and creating a new Most Backward Classes category but sparked protests and has yet to influence major policy changes.
• Telangana Caste Survey (2024–25)
  • Telangana’s Socio-Economic, Educational, Employment, Political, and Caste Survey was completed in just 50 days, covering ~97% of the population.
  • It reported BCs at 56.33%, SCs at 17.43%, STs at 10.45%, and Muslims at 12.56%, prompting swift policy action.
  • The state became the first to implement SC sub-categorization and substantially increased BC reservation quotas, showing strong political will to act on survey results.

Why is caste census needed?

• Identify social and economic inequalities: The caste census highlights gaps in education, income, and resources across groups.
  • For example, Bihar’s survey showed OBCs/EBCs form 63% of the population but face persistent backwardness.
• Enable evidence-based policymaking: Accurate data helps design targeted welfare schemes for disadvantaged castes.
  • Telangana used its survey to raise BC reservations and sub-categorize SC quotas for fairer benefits.
• Update outdated population estimates: Current policies rely on 1931 caste data, which no longer reflects ground realities.
  • Bihar revealed OBC numbers are much higher than previously assumed, reshaping the reservation debate.
• Improve delivery of welfare schemes: Caste-level, village-level data enables precise implementation of development programs.
  • Bihar’s plan to give ₹2 lakh to BPL families was informed by its survey findings.
• Address intra-group inequalities: Surveys uncover disparities within broad groups, enabling fair internal allocation.
  • Telangana split SC quotas into three groups to better target the most marginalized castes.
• Strengthen affirmative action and social justice: Updated data ensures reservations and quotas align with present-day caste realities.
  • Karnataka’s report proposed creating a Most Backward Classes (MBC) group for neglected OBC sections.
• Promote public awareness and political accountability: Publishing caste data sparks public debate and pushes governments to act on social equity.
  • Bihar’s survey fueled political mobilization among OBC sub-castes like Yadavs and Kurmis.

Disadvantages of caste census

• Reinforcement of Caste Divisions: A caste census risks reinforcing caste identities rather than dismantling them.
  • The data may increase caste consciousness and lead to more emphasis on caste-based identities, fostering social division rather than unity.
• Political Misuse and Exploitation: Politicians may manipulate caste data for electoral gain, fostering vote bank politics.
  • For instance, political parties may use caste-based data to demand reservations or quota increases for specific groups to gain support from those communities.
• Creation of Tensions Between Sub-Castes: Detailed caste data can heighten intra-caste conflicts by exposing disparities between sub-castes within larger categories.
  • In Telangana, sub-categorization within the SC quota caused tension among different SC sub-castes, with some claiming disproportionate allocation of benefits.
• Legal and Constitutional Challenges: New caste data could push reservations beyond the 50% limit set by the Supreme Court.
  • For example, Bihar’s proposal to raise reservation limits to 65% was challenged in the Patna High Court, with the Supreme Court also casting doubts on its constitutionality.
• Administrative Complexity: Collecting and processing caste data on a national scale is logistically challenging.
  • The SECC 2011 showed the difficulty of managing caste names (with over 46 lakh variations), leading to problems in data classification and standardization.
• Risk of Unintended Social Tensions: Publishing caste data can spark social and inter-caste tensions that are politically sensitive.
  • In Karnataka, the caste survey findings led to protests by dominant castes (Vokkaligas, Lingayats) who felt their numbers were underreported, leading to demands for new surveys.
• Cost and Financial Burden: Conducting a caste census is expensive and resource-intensive, especially when conducted in large-scale nationwide surveys.
  • The Bihar survey, though useful for policy making, demonstrated the financial burden of conducting caste data collection at such a scale.
• Complex Methodology and Data Collection: The complexity of conducting accurate caste enumeration at a national level involves challenges in data collection, verification, and categorization.
  • The SECC 2011 faced issues in data verification and standardization, making it difficult to consolidate caste-related information across diverse communities.
• Data Inconsistencies and Classification Issues: Caste names and identities vary significantly across regions, making it difficult to standardize caste categories.
  • In SECC 2011, over 46 lakh caste name variations were recorded, causing inconsistencies in classification, and hindering accurate data analysis.
• Ethical Concerns and Privacy Issues: Collecting caste-based data raises significant privacy concerns about how sensitive information is stored, shared, and used.
  • Fears of data misuse or caste-based discrimination could discourage people from accurately reporting their caste, affecting the integrity of the census data.

Is caste still relevant in India?

• Caste in Social Context: Caste continues to play a significant role in the social fabric of India, influencing interactions, marriage, and social mobility.
  • Caste-based endogamy remains strong, with over 90% of marriages occurring within caste (National Family Health Survey). 
  • In rural areas, caste networks still control access to jobs, land, and education.
• Caste in Politics: Caste remains a powerful force in Indian politics, with parties mobilizing on caste lines to secure votes.
  • Bihar’s caste survey revealed that OBCs and EBCs form 63.13% of the population, prompting political parties like RJD and JD(U) to cater to these groups to consolidate support.
• Economic Disparities Persist Along Caste Lines: Economic inequalities are deeply intertwined with caste. Despite affirmative action, marginalized groups such as SCs, STs, and OBCs continue to face economic backwardness.
  • According to NFHS-4, households from SC/ST communities have lower per capita expenditure compared to general caste households, reflecting economic disparity.
• Caste and Education: Despite an increase in education levels among marginalized communities, caste-based discrimination in educational access still exists.
  • SECC 2011 data and reports highlight the lower literacy rates among SCs and STs, and the higher dropout rates in schools, particularly in rural areas.
• Caste in Urbanization: Declining but Still Present: While caste plays a diminishing role in urban areas (especially in the IT and service sectors), it still affects housing, jobs, and social relations.
  • Despite urbanization, housing societies and workplace discrimination often reflect caste-based biases, even if subtly.
• Caste and Affirmative Action: Caste remains central to the design of affirmative action policies, such as reservations in education, employment, and politics.
  • The Mandal Commission recommendations (1979) used caste-based data to estimate OBC populations, and this continues to inform the reservation system.
• Caste and Social Justice Movements: Movements like Dalit rights advocacy (e.g., Ambedkarite Buddhism or Bhim Army) emphasize caste in their fight for dignity, equality, and justice.
  • The Dalit Panthers (Maharashtra) in the 1970s and more recent Dalit-led political parties show that caste continues to be a core part of identity and advocacy for social justice.

Way forward for caste census in India

• Ensure Standardization and Consistent Classification: To avoid issues like those in SECC 2011, a standardized national caste list should be developed to ensure consistency across states.
  • The Registrar General of India could work with state governments to develop a unified framework for caste categories and sub-castes.
• Make Data Collection Transparent and Inclusive: The caste census must be conducted transparently, with adequate consultation with marginalized communities to avoid bias or manipulation.
  • Involve civil society organizations, political parties, and independent experts to ensure accurate data collection and classification.
• Ensure Data Quality and Proper Validation: Given the data inconsistencies in past surveys, rigorous validation processes are needed to ensure the caste data is accurate and free from duplication.
  • Employ technology such as machine learning algorithms to clean and validate caste-related data for consistency.
• Use Data for Targeted Policy Implementation: The caste census should directly inform policy-making by ensuring that affirmative action policies such as reservations are based on the most current and accurate data.
  • Use caste data to refine welfare schemes, reservation quotas, and development initiatives, ensuring the most disadvantaged groups receive adequate support.
• Ensure Legal and Constitutional Clarity: There needs to be clear legal backing for the caste census, especially regarding its impact on reservation policies.
  • Amend the Census Act (1948) or introduce new legislation that mandates caste enumeration for data-driven governance without breaching constitutional limits (like the 50% reservation cap).
• Focus on Social Justice Over Political Gain: To avoid the political exploitation of caste data, caste census data must be used exclusively for social justice and governance purposes, not vote bank politics.
  • Establish a non-partisan body to oversee the use of caste data, ensuring it is used for policy development and not political advantage.
• Strengthen Public Awareness and Participation: Public awareness campaigns should ensure that citizens understand the importance and confidentiality of caste data collection.
  • Conduct educational programs to explain the need for the caste census, alleviate fears about misuse, and encourage wider participation in the process.

Conclusion

The caste census, approved for the upcoming 2021 Census, marks a historic step toward addressing social and economic inequalities through data-driven governance. By providing updated caste demographics, it can strengthen affirmative action and targeted welfare, but its success hinges on transparent, standardized implementation to avoid reinforcing caste divisions or political misuse.