UPSC Mains 2024 GS1 Q20: model answer
Critically analyse the proposition that there is a high correlation between India’s cultural diversities and socio-economic marginalities.
What the question wants
Test whether cultural identity predicts deprivation, using evidence for and against.
How to structure it
Intro: India's diversity of caste. Body: (1) Evidence of correlation; (2) Counter-evidence; (3) Explanation; (4) Policy implication. Conclusion: The correlation is real for some groups, but it is neither uniform nor caused by diversity.
- 1(1) Evidence of correlation
- 2(2) Counter-evidence
- 3(3) Explanation
- 4(4) Policy implication
Model answer
India's diversity of caste, tribe, religion, language and region is a source of richness. The proposition asks whether some cultural groups are systematically poorer and more excluded.
Evidence of correlation
- Caste: SCs have lower land ownership and higher poverty; untouchability left a long legacy.
- Tribes: STs have the highest multidimensional poverty, linked to remote habitats and displacement.
- Religion: the Sachar Committee (2006) found Muslims behind on education, jobs and credit.
- Language and region: speakers of tribal languages without schooling in their mother tongue fall behind.
- Gender within groups adds to marginality.
Counter-evidence
- Some minorities are prosperous: Jains, Parsis, Sikhs, Christians in Kerala.
- Class divides each group: there are rich Dalits and poor upper castes, hence EWS reservation.
- Kerala and Tamil Nadu show that diversity with good public services reduces marginality.
- Region often matters more than identity: a Dalit in Kerala may be better off than an upper caste in rural Bihar on some indicators.
Explanation
- Marginality comes not from diversity itself but from historical discrimination, geography, and unequal access to land, education and state services.
- Where identity coincides with location (tribal belts), deprivation is deepest.
Policy implication
- Group-specific measures (reservation, Fifth and Sixth Schedules, minority scholarships).
- Universal services in lagging regions.
- Better data, including caste data, for targeting.
The correlation is real for some groups, but it is neither uniform nor caused by diversity. India's task is to make diversity a source of strength, not a predictor of disadvantage.
Keywords, cases and data to drop in
intersectionality Sachar Committee ST poverty historical discrimination Kerala model
Where most answers lose marks
- Accepting the proposition without counter-evidence.
Fresh examples from current affairs

PM SVANidhi completes six years; 75.5 lakh street vendors helped
PM Street Vendor's AtmaNirbhar Nidhi (PM SVANidhi), MoHUA's micro-credit scheme launched in June 2020, completed six years in May 2026. Over 75.5 lakh street vendors have benefited. More than 1.12 crore collateral-free loans have been sanctioned and over ₹17,800 crore disbursed. Average beneficiary incomes rose about 20% a year.
UPSC angle: Prelims: SVANidhi, Street Vendors Act.
31 May 2026
₹10,021 crore PMAY-G mother sanction released to 12 States
On 28 May 2026 the Rural Development Ministry released a Mother Sanction of ₹10,021.42 crore to 12 States under PMAY-G. Against a target of 4.95 crore houses, 3.91 crore have been approved and more than 3.05 crore completed. Nearly 75% of sanctioned houses are in women's names or joint ownership. Goal: Housing for All by March 2029.
UPSC angle: Prelims: PMAY-G targets.
28 May 2026
DAY-NRLM: 10 crore households in 90.9 lakh SHGs
SHG credit has strong repayment, but moving women from micro-loans to real enterprises is harder.
UPSC angle: Prelims: NRLM numbers.
23 Oct 2025
First National Household Income Survey from February 2026
India estimates poverty through consumption because income data were missing; NHIS fills that gap.
UPSC angle: Prelims: NSS surveys.
13 Oct 2025Learn the concept
Question text as printed in the official UPSC question paper: https://www.upsc.gov.in/sites/default/files/QP_CSM_2024_GenStud_I_03102024.pdf The model answer is original Battle IAS work; use it to learn structure, not to memorise.