In April 2023, India crossed a landmark — overtaking China to become the world's most populous country with approximately 1.44 billion people. This single statistic encapsulates both India's greatest challenge and its most significant potential asset: a massive, young, and increasingly educated population. For UPSC, population geography connects to virtually every GS1, GS2, and GS3 topic — from demographic dividend and urbanisation to the gender gap, internal migration, and labour market reforms.
PART 1 — Quick Reference Tables
India's Population: Historical Growth
| Census Year | Population | Decadal Growth (%) | Notes |
|---|---|---|---|
| 1951 | 361 million | — | First post-independence census |
| 1961 | 439 million | 21.5% | Population explosion begins |
| 1971 | 548 million | 24.8% | Highest decadal growth rate ever |
| 1981 | 683 million | 24.7% | High growth continues |
| 1991 | 846 million | 23.9% | Gradual decline begins |
| 2001 | 1,028 million | 21.5% | First census with population > 1 billion |
| 2011 | 1,211 million | 17.7% | Significant decline; most recent census |
| 2025 (est.) | ~1,464 million (~146.4 crore) | — | UN World Population Prospects 2024 Revision, mid-2025 estimate |
Census 2027 (16th Census of India) now underway — Cabinet approved December 2025 (outlay Rs 11,718.24 crore); Phase 1 House Listing: April–September 2026; Phase 2 Population Enumeration: February 2027; first-ever delay in post-independence census due to COVID-19; first census with caste enumeration since 1931.
Key Demographic Indicators (Latest Available)
| Indicator | Value | Source/Year |
|---|---|---|
| Total Population | ~1.46 billion / ~146 crore (mid-2025 est.) | UN World Population Prospects 2024 Revision |
| Annual growth rate | ~0.8% | 2023 estimate |
| Total Fertility Rate (TFR) | 2.0 | NFHS-5 (2019-21) |
| Infant Mortality Rate (IMR) | 25 per 1,000 live births | SRS 2023 (released Sep 2025; ORGI) |
| Maternal Mortality Ratio (MMR) | 88 per lakh live births | SRS 2020-22 (released 2023; ORGI) |
| Life expectancy at birth | 72 years (2023) | UNDP HDR 2025 |
| Sex ratio (overall) | 943 females per 1,000 males | Census 2011 |
| Child sex ratio (0-6 yrs) | 919 | Census 2011 |
| Literacy rate | 73.0% | Census 2011 |
| Urban population | ~36% | 2021 estimate |
| Population density (India avg) | 382 persons/km² | Census 2011 |
State-Wise Demographic Extremes (Census 2011)
| Parameter | Highest | Lowest |
|---|---|---|
| Population | Uttar Pradesh (~200 million) | Sikkim (~610,000) |
| Population density | Bihar (1,106/km²) | Arunachal Pradesh (17/km²) |
| Sex ratio | Kerala (1,084) | Haryana (879) |
| Literacy rate | Kerala (94.0%) | Bihar (63.8%) |
| IMR | Kerala (7 per 1,000) | Madhya Pradesh (43 per 1,000) |
PART 2 — Detailed Notes
1. India Becomes the World's Most Populous Country
India surpassed China's population in 2023 according to UN World Population Prospects 2022. China's population is now declining (−0.02% in 2022) due to decades of one-child policy (1980-2015) and ageing demographics. India's population continues growing but at a slowing rate — growth rate ~0.8% per year vs ~2.2% in the 1970s.
UPSC Connect: India's overtaking of China is not simply a demographic curiosity — it reshapes global labour markets, environmental resource consumption, and geopolitical power calculations. China faces a demographic decline that will compress its labour force and GDP growth for decades. India's demographic window — a young workforce — offers a growth dividend if the youth is educated, skilled, and employed. This contrast underpins debates on India's potential to be the world's third largest economy by 2030 (IMF projections).
2. Population Distribution — Why People Live Where They Do
India's population is very unevenly distributed. The factors determining distribution are:
Physical factors:
- Terrain: Plains attract dense settlement (easy agriculture, transport); mountains and plateaus are sparsely settled. Northern Plains (UP, Bihar, West Bengal, Punjab) have among the world's highest rural densities.
- Soil and agriculture: Fertile alluvial soils in the Ganga-Yamuna plains, delta regions, and coastal plains support dense populations.
- Water availability: Rivers and water bodies attract settlement. Indo-Gangetic plain = dense; Thar Desert (Rajasthan) = sparse.
- Climate: Extreme climates (cold deserts of Ladakh, hot deserts of Rajasthan) deter dense settlement.
Socio-economic factors:
- Economic opportunity: Industrial and commercial centres attract population (Mumbai, Delhi NCR, Bengaluru, Chennai, Hyderabad, Pune).
- Urbanisation: Urban areas (especially metros and tier-1 cities) draw rural migrants seeking employment.
3. Population Density
Density = Total population / Total area (km²)
India's average density: 382 persons/km² (Census 2011) — more than double the world average of ~60/km².
Population density does not tell the full story. Bihar has the highest density (1,106/km²) but extremely poor human development indicators. Kerala has moderate density (~860/km²) but excellent human development. Arunachal Pradesh has the lowest density (17/km²) due to mountainous terrain and tribal forest cover, not poverty.
4. Age Composition and Demographic Dividend
Population pyramids show the age-sex distribution of a population:
- Broad base → high proportion of young people → high birth rate (expanding pyramid, typical of developing countries)
- Narrow base → ageing population → low birth rate (contracting pyramid, typical of developed countries)
- India's pyramid: Broad base that is gradually narrowing as birth rates decline
Demographic Dividend Window: India has approximately 65% of its population in the working-age group (15-59 years) — one of the world's youngest major populations. This "demographic dividend" window (roughly 2020-2040) offers a potential economic boom if:
- The working-age population is healthy, educated, and skilled
- Sufficient productive jobs are created
- Women's labour force participation increases
Dependency Ratio: (Population below 15 + Population above 60) / Working-age population × 100. Lower is better — fewer dependents per worker. India's dependency ratio is declining as the bulge generation enters the workforce.
UPSC Connect — Demographic Dividend vs Demographic Burden: The demographic dividend is not automatic. South Korea, Taiwan, Singapore, and China leveraged their demographic windows through massive investment in education and export-led manufacturing. India risks the same generation becoming a "demographic burden" if unemployment, poor skills, and health deficits persist. National Education Policy (NEP) 2020, Skill India Mission, and Pradhan Mantri Kaushal Vikas Yojana (PMKVY) are policy responses to this challenge.
5. Sex Ratio
Sex ratio = Number of females per 1,000 males. Higher is better from a gender equality standpoint.
India 2011: Overall sex ratio = 943 (improvement from 933 in 2001) Child sex ratio (0-6 years) = 919 — more alarming than overall, indicating sex-selective abortions targeting girl foetuses.
Regional patterns:
- High sex ratio states: Kerala (1,084), Puducherry (1,038), Tamil Nadu (995) — better female education, lower preference for male children, social reform traditions.
- Low sex ratio states: Haryana (879), Punjab (895), Delhi (868) — combined effects of son preference, dowry system, female foeticide.
Legal framework:
- PC & PNDT Act (Pre-Conception and Pre-Natal Diagnostic Techniques Act, 1994): Bans sex determination of foetus; prohibits sex-selective abortions. Implementation has been weak — sex ratio at birth in 2019-21 = 929 per 1,000 males (NFHS-5), still below 1,000.
- Beti Bachao Beti Padhao (2015): Launched in 100 worst sex ratio districts; multi-ministry programme (WCD, Health, Education). Target: change social norms, improve girls' survival and education.
6. Literacy
Census 2011 definition: A person aged 7 years and above who can read and write with understanding in any language.
Literacy rate (2011): 73.0% overall (Males: 80.9%, Females: 64.6%)
Literacy disparities:
- State range: Kerala 94.0% to Bihar 63.8%
- Rural-urban gap: Urban 85%+ vs Rural ~68%
- Gender gap: 16.3 percentage points (2011) — declining but persistent
Policy responses:
- Saakshar Bharat Mission (2009-2022): Adult literacy; targeted states with low female literacy
- NEP 2020: Universal foundational literacy and numeracy (FLN) by Grade 3; National Initiative for Proficiency in Reading with Understanding and Numeracy (NIPUN Bharat)
- Right to Education Act (RTE), 2009: Free and compulsory education for children 6-14 years; 25% reservation in private schools for economically weaker section
7. Health and Vital Statistics
Total Fertility Rate (TFR): Average number of children born per woman over her lifetime.
- India TFR = 2.0 (NFHS-5, 2019-21) — close to replacement level of 2.1
- Replacement level fertility: TFR at which population neither grows nor shrinks long-term (~2.1, accounting for child mortality)
- States below 2.0: Kerala (1.8), Tamil Nadu (1.8), Karnataka (1.7), Andhra Pradesh (1.7), Telangana (1.7) — south India has largely achieved replacement fertility
- States above 2.0: Bihar (3.0), UP (2.7), MP (2.0) — north India still above replacement
Infant Mortality Rate (IMR): Deaths of children under 1 year per 1,000 live births.
- India: 25 (SRS 2023; ORGI; released Sep 2025) — significant decline from 80 in 1990; rural IMR 28, urban IMR 18
- SDG target: IMR < 12 per 1,000 by 2030
Maternal Mortality Ratio (MMR): Deaths of mothers per lakh (100,000) live births due to pregnancy/childbirth.
- India: 88 (SRS 2020-22; ORGI, released 2023) — significant progress from 254 (2004-06) and 97 (SRS 2018-20)
- SDG target: < 70 by 2030; India on track
Life expectancy: 72 years (2023, UNDP HDR 2025) vs 37 years at independence (1947). Driven by improved nutrition, vaccines, maternal health, clean water, and economic development.
8. Migration
Types of migration in India:
- Rural-urban (most common and significant): People move from villages to cities seeking employment, higher wages, and services. Drives urbanisation.
- Rural-rural: Moving between villages, often seasonal (agricultural labourers following harvest seasons across states)
- Urban-urban: Between cities — skilled professionals
- International migration: Indians working abroad; India is the world's largest source of international migrants
Push and pull factors:
| Push Factors (from origin) | Pull Factors (to destination) |
|---|---|
| Unemployment / under-employment | Better job opportunities |
| Agricultural stress, drought | Higher wages |
| Lack of schools / hospitals | Better education, healthcare |
| Flood/natural disaster | Safety, stability |
| Social conflict | Anonymity, social mobility |
Remittances: India received $135.46 billion in remittances in FY2024-25 (RBI data; record high) — world's largest recipient for 7th consecutive year; Mexico is 2nd (~$68 billion). Key source countries: USA (~23%), UAE (~18%), Saudi Arabia (~11%), UK, Kuwait, Oman. Remittances exceed FDI and ODA (Official Development Assistance) in amount. They support household consumption, housing construction, and education in states like Kerala, UP, Bihar, Rajasthan, and Tamil Nadu.
UPSC Connect — Internal Migration and Urban Infrastructure: India's urban population is growing rapidly — from ~28% (2001) to ~31% (2011) and estimated ~36% (2021). Urban areas provide ~63% of GDP. But urban growth strains infrastructure: housing (slums — 65 million people in India's slums), water supply, sanitation, transport. Pradhan Mantri Awas Yojana (Urban), Smart Cities Mission, AMRUT are responses. India's urbanisation rate is lower than China's (~65%) or Brazil's (~88%) — India still has decades of urbanisation ahead.
9. Occupational Structure
Workforce distribution by sector (approximate, 2020-21):
- Primary sector (agriculture, forestry, fishing, mining): ~44% of workforce → only ~17-18% of GDP This gap = disguised unemployment/underemployment — too many people chasing too little productive work in agriculture
- Secondary sector (manufacturing, construction, industry): ~25% of workforce → ~28% of GDP
- Tertiary sector (services — IT, banking, trade, transport, education, health): ~31% of workforce → ~55% of GDP
Structural transformation challenge: India's services sector (especially IT/BPO) grew faster than manufacturing — "premature deindustrialisation" concern. Most workers still in low-productivity agriculture. Manufacturing needs to absorb surplus agricultural labour (Lewis Model of development — Arthur Lewis, Nobel 1979).
10. Population Policy
National Population Policy 2000 (NPP 2000):
- Immediate objective: Address unmet need for contraception, reproductive health, child and infant mortality
- Medium-term objective: TFR at replacement level (2.1) by 2010 (achieved by 2021 with TFR = 2.0)
- Long-term objective: Stable population compatible with sustainable development by 2045
Key concerns:
- Coercive sterilisation: India's emergency-era mass sterilisation (1975-77) under Sanjay Gandhi — a cautionary lesson; current policy is voluntary
- Son preference and sex determination: PC & PNDT Act 1994 targets sex-selective practices
- NRC/NPR: National Register of Citizens (Assam) and National Population Register — contentious; linked to CAA debate
- Data vacuum resolved: Census 2027 (16th Census of India) now underway — Cabinet approved December 2025 (outlay Rs 11,718.24 crore); Phase 1 (House Listing) April–September 2026; Phase 2 (Enumeration) February 2027; data expected mid-2027. First caste census since 1931. Till then, post-2011 analysis uses NFHS-5 and SRS estimates.
Key Data Sources for India's Demography:
- Census: Conducted by the Registrar General and Census Commissioner of India (RGI), under the Ministry of Home Affairs; decennial (every 10 years)
- NFHS (National Family Health Survey): Conducted by Ministry of Health and Family Welfare with IIPS (International Institute for Population Sciences, Mumbai); multi-round household survey
- SRS (Sample Registration System): Continuous vital statistics — births, deaths, IMR, MMR; operated by the Office of RGI
PART 3 — Frameworks and Analysis
Demographic Transition Theory and India
| Stage | Birth Rate | Death Rate | Population Growth | India's Status |
|---|---|---|---|---|
| Stage 1 — Pre-industrial | High | High | Slow | Pre-1920s India |
| Stage 2 — Early transition | High | Falling | Rapid | 1950s-1980s India |
| Stage 3 — Late transition | Falling | Low | Slowing | 1990s-present India |
| Stage 4 — Post-industrial | Low | Low | Near-stable | South India approaching; North still in Stage 3 |
| Stage 5 — Decline | Very low | Low | Negative | Japan, Germany, China entering |
India is in Stage 3 nationally, but with huge internal variation — Southern states at Stage 4; Bihar, UP at late Stage 2/early Stage 3.
Population Density vs Human Development — Contrasting Cases
| State | Density (2011) | HDI Context |
|---|---|---|
| Bihar | 1,106/km² (highest) | Lowest literacy, highest IMR, lowest per capita income |
| West Bengal | 1,029/km² | Moderate development |
| Kerala | 860/km² | Highest human development, highest sex ratio, lowest IMR |
| Arunachal Pradesh | 17/km² (lowest) | Sparse due to terrain, not underdevelopment per se |
| Rajasthan | 201/km² | Large area, arid zones; moderate development |
High density does not necessarily mean poor development (Kerala) — quality of population matters as much as quantity.
[Additional] 6a. India's Human Development Index — HDR 2025 and Comparative Rankings
The chapter covers India's population dynamics but does not address Human Development Index (HDI) rankings — a critical GS2 topic that links population quality to development outcomes. The latest HDR 2025 data provides current India-specific benchmarks.
Key Terms — Human Development Index:
| Term | Meaning |
|---|---|
| Human Development Index (HDI) | A composite index measuring average achievement in three dimensions: long and healthy life (life expectancy) + knowledge (mean years of schooling + expected years of schooling) + decent standard of living (GNI per capita PPP) |
| Human Development Report (HDR) | Annual publication by UNDP (United Nations Development Programme); HDR 2025 was released in May 2025 |
| GNI per capita (PPP) | Gross National Income per capita adjusted for Purchasing Power Parity — measures economic dimension of HDI |
| Very High HD | HDI ≥ 0.800; High HD: 0.700–0.799; Medium HD: 0.550–0.699; Low HD: < 0.550 |
| Gender Development Index (GDI) | Ratio of female to male HDI; measures gender-based disparities in human development |
| Multidimensional Poverty Index (MPI) | UNDP/OPHI index measuring deprivation in health, education, and living standards across 10 indicators — distinct from income poverty |
[Additional] HDR 2025 — India's Rankings, Comparative Performance, and MPI Data (GS2 — Social Justice / Governance):
India's HDI in HDR 2025:
| Parameter | Value |
|---|---|
| India's HDI rank | 130 out of 193 countries |
| India's HDI value | 0.685 |
| HDI category | Medium Human Development (0.550–0.699) |
| Life expectancy (India) | 71.7 years |
| Mean years of schooling | 6.6 years |
| Expected years of schooling | 12.6 years |
| GNI per capita (PPP 2017 $) | ~$8,475 |
Improvement trend (India's HDI over time):
| Report year | India's rank | India's HDI value |
|---|---|---|
| HDR 2021-22 | 132 | 0.633 |
| HDR 2023-24 | 134 | 0.644 |
| HDR 2025 | 130 | 0.685 |
South Asia comparison (HDR 2025):
| Country | HDI rank | HDI value | Category |
|---|---|---|---|
| Sri Lanka | ~78 | ~0.782 | High HD |
| Maldives | ~87 | ~0.762 | High HD |
| Bhutan | ~127 | ~0.699 | Medium HD |
| India | 130 | 0.685 | Medium HD |
| Bangladesh | ~129 | ~0.686 | Medium HD |
| Nepal | ~145 | ~0.601 | Medium HD |
| Pakistan | ~168 | ~0.540 | Low HD |
| Afghanistan | ~182 | ~0.462 | Low HD |
India's Multidimensional Poverty (NITI Aayog MPI 2024):
| Parameter | Value | Source |
|---|---|---|
| MPI headcount (2022-23) | 11.28% | NITI Aayog MPI Report (based on NFHS-5 / HCES 2022-23) |
| MPI headcount (2013-14) | 29.17% | |
| People escaped MPI poverty | ~24.82 crore (2013-14 to 2022-23) | |
| State with highest MPI | Bihar (~35% MPI poor) | |
| State with lowest MPI | Kerala (~0.7% MPI poor) | |
| Most people lifted from MPI | Uttar Pradesh (~3.43 crore) |
World Bank extreme poverty data:
| Parameter | Value | Source |
|---|---|---|
| Extreme poverty (< $2.15/day) | ~2.3% of India's population (2022-23) | World Bank Spring 2025 report using HCES 2022-23 |
| Absolute number | ~31 million below $2.15/day | |
| People lifted from extreme poverty (2011-12 to 2022-23) | ~171 million | |
| UNDP Global MPI 2024 | India has largest absolute number of MPI poor globally = ~234 million | Despite reducing %, India's large population means most absolute poor |
The paradox — simultaneous truths about India and poverty:
| Statement | True? |
|---|---|
| India has significantly reduced poverty | YES — extreme poverty from ~12% to ~2.3%; MPI from 29% to 11% |
| India has lifted the most people from poverty | YES — ~171 million from extreme poverty; ~248 million from MPI poverty |
| India has the largest number of MPI poor people globally | YES — ~234 million MPI poor in absolute terms (UNDP 2024) |
| India is a "Medium HD" country, not "High HD" | YES — HDI = 0.685, below the 0.700 threshold for High HD |
UPSC synthesis: Key exam facts: HDR published by UNDP; HDR 2025 released May 2025; India rank = 130/193 = HDI value 0.685 = Medium Human Development; India improved from rank 134 (HDR 2023-24, value 0.644) to rank 130 (HDR 2025); Sri Lanka = rank ~78 = High HD (India is BELOW Sri Lanka and Bangladesh in HDI); NITI Aayog MPI 2024: India's MPI fell from 29.17% (2013-14) to 11.28% (2022-23) = ~24.82 crore escaped poverty; BUT India still has 234 million (largest globally) MPI poor in absolute terms. Prelims trap: India is in Medium HD category (NOT High HD — HDI 0.685 is below the 0.700 High HD threshold); Sri Lanka is ranked higher than India in HDI (rank ~78 vs India's 130) — Sri Lanka is in High HD; Bangladesh (rank ~129) is roughly at par with India in HDI; India reducing poverty percentage AND having most absolute poor globally are simultaneously true — not contradictory.
[Additional] 6b. World Bank Poverty Data and MGNREGS Performance — Latest Figures (2024-25)
The chapter discusses poverty and food security but uses older data. Updated figures from the World Bank, HCES 2022-23, and MGNREGS annual reports provide the accurate current picture for exam preparation.
Key Terms — Poverty Measurement:
| Term | Meaning |
|---|---|
| International Poverty Line ($2.15/day) | World Bank's extreme poverty threshold (revised 2022 from $1.90/day); measured in 2017 PPP dollars; below this = extreme deprivation |
| HCES (Household Consumption Expenditure Survey) | Survey by MOSPI (Ministry of Statistics and Programme Implementation); 2022-23 HCES was the first such survey in 11 years (last was 2011-12 NSS); used to calculate updated poverty headcount |
| MPI (Multidimensional Poverty Index) | NITI Aayog/UNDP index; measures deprivation across 3 dimensions and 10 indicators (health: nutrition + child mortality; education: years of schooling + school attendance; living standards: cooking fuel + sanitation + drinking water + electricity + housing + assets) |
| MGNREGS (Mahatma Gandhi National Rural Employment Guarantee Scheme) | Demand-driven rural employment scheme guaranteeing 100 days of unskilled work per year per rural household; enacted under MGNREGA 2005 |
[Additional] MGNREGS Performance FY2024-25 and India's Poverty Reduction — Current Data (GS2/GS3 — Social Justice / Rural Development):
MGNREGS FY2024-25 performance:
| Parameter | FY2024-25 data |
|---|---|
| Unique workers employed | ~8.68 crore workers |
| Person-days generated | ~326 crore person-days |
| Women's share in employment | ~57.6% (against mandated 1/3 minimum) |
| SCs share | ~24% |
| STs share | ~19% |
| Highest daily wage state | Haryana — ₹374/day (FY2024-25 revised rates, effective April 1, 2024) |
| Lowest daily wage states | Madhya Pradesh + Chhattisgarh — ~₹221/day |
| Central outlay (Budget 2025-26) | ₹86,000 crore |
Wage revision mechanism:
- MGNREGS wages are indexed to the Consumer Price Index for Agricultural Labour (CPI-AL) — NOT to minimum wages or the general CPI
- Wages revised annually by MoRD effective April 1 each year
- MGNREGS wages are BELOW market wages in most states (deliberate — to ensure only those who truly need employment participate, and to avoid crowding out private employment)
Payment and DBT provisions:
- Wages paid via Direct Benefit Transfer (DBT) to Jan Dhan + Aadhaar linked bank/post office accounts
- 15-day payment rule: wages must be paid within 15 days of work completion; delay beyond 15 days → unemployment compensation (25% of wage for first 30 days, 50% thereafter)
- Works completed: 90% must be non-farm works; priority given to water conservation + afforestation (key environmental connection)
MGNREGS and poverty reduction — connection:
- MGNREGS provides a floor to rural wages — private agricultural wages in India rise when MGNREGS alternative exists (monopsony power of landlords reduced)
- 1/3 women mandate → empowers women, increases female LFPR in rural areas
- Geotagging of works: all MGNREGS assets must be geotagged for transparency and verification
World Bank HCES 2022-23 poverty findings:
| Measure | Value |
|---|---|
| Extreme poverty (< $2.15/day, 2017 PPP) | ~2.3% of India's population |
| People below extreme poverty | ~31 million (~3.1 crore) |
| Reduction from 2011-12 | Was ~12.3% in 2011-12 (NSS) → ~2.3% in 2022-23 = ~10 percentage point decline |
| People lifted from extreme poverty | ~171 million over 11 years |
UPSC synthesis: Key exam facts: MGNREGS FY2024-25 = 8.68 crore workers = 326 crore person-days = women 57.6% (well above 1/3 mandate); highest wage = Haryana ₹374/day; lowest = MP/Chhattisgarh ~₹221; wages indexed to CPI-AL (NOT general CPI); 15-day payment rule → delay compensation; Budget 2025-26 = ₹86,000 crore MGNREGS; World Bank 2022-23: extreme poverty = ~2.3% = ~31 million = down from ~12.3% in 2011-12 = 171 million lifted; HCES 2022-23 = MOSPI = first household consumption survey in 11 years. Prelims trap: MGNREGS wages are indexed to CPI-AL (Agricultural Labour) — NOT to the national minimum wage or general CPI; MGNREGS wages are deliberately kept below market wages to ensure self-selection; women's share in MGNREGS work = ~57% (far exceeds the mandated 1/3); MGNREGS is demand-driven (government cannot refuse work if applied for — the 100-day guarantee is an entitlement, NOT a target to be filled).
Exam Strategy
Prelims high-frequency facts:
- India became most populous country: 2023 (overtook China); ~1.46 billion / ~146 crore (mid-2025 UN estimate)
- Census 2027 underway (Cabinet Dec 2025 approval, Rs 11,718.24 cr outlay; Phase 1 April–Sep 2026; Phase 2 Feb 2027); conducted by RGI under Ministry of Home Affairs; first caste census since 1931
- Highest population state: Uttar Pradesh; lowest: Sikkim
- Highest density: Bihar (1,106/km²); lowest: Arunachal Pradesh (17/km²)
- Highest sex ratio: Kerala (1,084); lowest in Census 2011: Haryana (879)
- TFR at replacement level: 2.1; India's TFR in NFHS-5 = 2.0
- IMR (SRS 2023): 25 per 1,000 live births (down from 28 in SRS 2020)
- India: world's largest recipient of remittances — $135.46 billion (FY2024-25, RBI) — 7th consecutive year at #1
Common Prelims traps:
- Census is conducted by RGI (Registrar General of India) — not NSSO, not Planning Commission
- NFHS is household survey; SRS is continuous vital registration — they are different
- Replacement level TFR is 2.1 (not 2.0) — small difference but examiners test it
- PC & PNDT Act bans sex determination (pre-natal), not abortion itself
- Demographic dividend requires skilled, employed youth — it is not automatic
Mains frameworks:
- Demographic dividend: India's window, risk of demographic burden, NEP/skill India as policy responses
- Regional inequality: South India at replacement fertility vs North India still high TFR; connect to education, women's empowerment, ICDS, POSHAN Abhiyaan
- Urbanisation: Rural-urban migration, smart cities, housing deficit, slum upgrading — PM Awas Yojana
- Remittances: $135.46 billion (FY2024-25); largest globally; livelihood for millions; connect to diaspora policy and Pravasi Bharatiya Divas
Practice Questions
Prelims
1. As per the Census 2011, which state has the highest population density in India?
(a) Uttar Pradesh
(b) West Bengal
(c) Bihar
(d) Kerala
(c) Bihar — Bihar has the highest population density at 1,106 persons/km² as per Census 2011.
2. The "Demographic Dividend" refers to:
(a) Increased government revenue from a growing population
(b) Economic growth potential from a large working-age population relative to dependents
(c) Benefits from reduced infant mortality due to vaccination
(d) Dividend paid by insurance companies on life insurance policies
(b) Economic growth potential from a large working-age population relative to dependents — demographic dividend occurs when the working-age population is proportionally larger, lowering the dependency ratio.
3. With reference to India's remittance inflows, consider the following:
- India is the world's largest recipient of remittances.
- The United States is the largest source of remittances to India.
- Remittances to India are primarily sent through the hawala channel.
(a) 1 and 2 only
(b) 2 and 3 only
(c) 1 only
(d) 1, 2 and 3
(a) 1 and 2 only — India is the largest recipient of remittances globally; the USA is the top source country; most remittances go through formal banking channels (not hawala, which is informal and often illegal).
Mains
1. "India's demographic dividend is a potential asset, not a guaranteed outcome." Discuss the conditions necessary for India to realise its demographic dividend and the risks of it turning into a demographic burden. (GS1 — Population, 250 words)
2. Examine the spatial pattern of population distribution in India. What physical and socio-economic factors explain the high concentration of population in the Indo-Gangetic Plains and the sparse population in the northeastern hill regions and Thar Desert? (GS1 — Indian Geography, 200 words)
BharatNotes