Population and society

In short

Population studies (demography) is the systematic study of the size, composition, distribution and change of human populations, and of the social forces that shape fertility, mortality and migration. In sociology it matters because population is never a mere head-count: caste, class, religion, gender, education and region all pattern who is born, who survives, who moves and who grows old. For India it is the arithmetic behind every policy argument — the demographic dividend, delimitation of Lok Sabha seats, women's reservation, health budgets, urban infrastructure and the pension burden. It is examined in BA/MA Sociology papers on Indian society and social demography, in UGC-NET Sociology, and in UPSC and state PSC general studies; it is used on the job by researchers in IIPS, NSSO/NSO, NFHS and census operations, by NGOs, CSR teams, market-research firms and development consultancies.

Explained

Core concepts and measures

• Demography: quantitative study of population; social demography studies how social structures (caste, class, kinship, religion, gender) produce demographic outcomes.
• The three components of change: fertility (births), mortality (deaths) and migration. Together they give the balancing equation: closing population = opening population + births − deaths + in-migration − out-migration.
• Fertility is actual childbearing; fecundity is the biological capacity to bear children. Fertility is always far below fecundity because of social controls — age at marriage, lactation, widowhood norms, contraception.
• Mortality measures: crude death rate, age-specific death rate, infant mortality rate (IMR), neonatal and under-five mortality, maternal mortality ratio (MMR), life expectancy at birth.
• Composition: age structure, sex ratio, rural–urban split, literacy, work participation, religion and caste/tribe composition.
• Age–sex pyramid: a broad-based triangular pyramid shows high fertility and a young population; a bell or barrel shape shows low fertility and ageing; a narrowing base with a bulge in working ages is India today.
• Distribution: density (persons per km²), concentration in the Indo-Gangetic plain and coastal belts, sparse in the Himalaya and arid west.

Theories of population

• Malthus (1798, Essay on the Principle of Population): population grows geometrically, food arithmetically; checks are preventive (late marriage, moral restraint) and positive (famine, disease, war). Criticised for ignoring technology, contraception and the fall in fertility with development.
• Neo-Malthusianism: accepts the scarcity logic but endorses contraception; shaped the "population explosion" and population-control programmes of the 1950s–70s, including India's.
• Marxist critique: poverty is caused by the distribution of resources, not by numbers; the "surplus population" is produced by capitalism. Hence population control is seen as treating a symptom.
• Optimum population theory (Cannan, Robbins, Dalton): the best size is the one giving maximum per-capita income; populations may be over- or under-populated relative to resources and technology, not absolutely.
• Demographic transition theory (Thompson, Notestein): four/five stages — (1) high fertility, high and fluctuating mortality, slow growth; (2) mortality falls while fertility stays high — the population explosion; (3) fertility falls, growth slows; (4) both low, growth near zero; (5) fertility below replacement, decline and ageing. India as a whole is in late stage 3; Kerala and Tamil Nadu are in stage 4–5, Bihar and Uttar Pradesh in stage 3.
• Theory of demographic dividend: when the working-age share rises and the dependency ratio falls, savings and output per head can rise — but only if health, education and jobs are supplied; otherwise it becomes a demographic liability.
• Indian contributions: Kingsley Davis, *The Population of India and Pakistan* (1951), the first systematic demography of the subcontinent; Mahmood Mamdani, *The Myth of Population Control* (1972), which used the Khanna study to argue that poor families want children as labour and old-age security, so contraceptive supply alone fails; Ashish Bose, who coined "BIMARU" for the high-fertility states; Amartya Sen, "missing women" (1990) — the deficit of women caused by discrimination in nutrition, health care and sex selection.

India's population profile and trends

• Size: Census 2011 counted 1,210.8 million (1.21 billion). Current size is an estimate, not a count — the UN placed India above China as the most populous country in April 2023, and puts India around 1.45 billion in the mid-2020s. These are projections; the next count is Census 2027.
• Growth: decadal growth fell from 23.9% (1981–91) to 21.5% (1991–2001) to 17.7% (2001–11) — the first decade since 1921 in which the absolute increase was smaller than in the previous decade. Annual growth is now below 1%.
• Fertility: TFR fell from about 6 in the 1950s to 2.0 in NFHS-5 (2019–21) and 2.0 in SRS 2021 — below the replacement level of about 2.1. Bihar, UP, Jharkhand, Meghalaya remain above replacement; Sikkim is lowest at 1.1 and the southern states are near 1.7–1.8.
• Mortality: IMR fell from about 129 (1971) to 27 per 1,000 live births (SRS 2021); MMR fell to about 93–97 per lakh live births in the latest SRS special bulletins (figures are revised, so quote with the year). Life expectancy at birth is roughly 70 years, higher for females.
• Sex ratio: 943 females per 1,000 males (Census 2011), up from 933; child sex ratio (0–6) fell to 919, the lowest since Independence — evidence of sex-selective abortion and post-birth neglect. NFHS-5 reported a sex ratio at birth around 929.
• Urbanisation: 31.16% urban in 2011, up from 27.8%; the increase came partly from new "census towns". Projected above 40% by 2035.
• Literacy: 74.04% overall, 82.1% male and 65.5% female in 2011; the gender gap narrowed but persists.
• Age structure: median age roughly 28–29 years; 8.6% aged 60+ in 2011 (about 10.5% by 2022), projected to reach about one-fifth by 2050 (UNFPA India Ageing Report 2023) — with a feminisation of ageing because women outlive men.

Determinants: how society shapes demography

• Age at marriage: legal minimum 18 for women and 21 for men under the Prohibition of Child Marriage Act, 2006; a bill to raise the women's age to 21 was introduced in 2021 but has not been enacted. Later marriage shortens the reproductive span and lowers fertility.
• Female education and autonomy: the single strongest predictor of lower fertility and lower infant mortality — the classic explanation of the Kerala model (female literacy, public health, matrilineal legacy, land reform).
• Son preference: dowry, patrilineal inheritance, and the son's ritual and old-age-security role sustain demand for sons, producing skewed sex ratios even as fertility falls (fewer births concentrate the preference).
• Infant mortality: high child mortality encourages "insurance births"; falling mortality precedes falling fertility — the mechanism of the transition's stage 2.
• Caste, class and religion: fertility differentials track education and poverty far more than doctrine — Muslim TFR fell faster than Hindu TFR between NFHS-4 and NFHS-5, and the gap narrowed to a few tenths; SC/ST populations have higher fertility and mortality, explained by poorer access rather than culture.
• Public health and nutrition: immunisation, institutional delivery (about 89% in NFHS-5), ORS and antibiotics drove the mortality decline; stunting (about 36%) and anaemia (over half of women) remain high.

Migration, urbanisation and population distribution

• Definitions: migration is a change of usual residence across a boundary. The Census measures it by place of birth and place of last residence; the NSS/PLFS also measure short-term and seasonal movement.
• Streams: intra-district (largest, mostly women moving on marriage), inter-district, inter-state, and international. Census 2011 recorded about 45.6 crore internal migrants by last residence — roughly 37% of the population.
• Rural–urban, rural–rural, urban–urban, urban–rural are the four locational streams; rural–rural dominates in India because of marriage migration.
• Causes: push factors (landlessness, drought, debt, caste oppression, conflict) and pull factors (jobs, wages, education, city services); Ravenstein's laws (migration is mostly short-distance, in steps, and generates counter-streams) and Lee's push–pull model with intervening obstacles.
• Consequences: remittances and reduced local unemployment at origin; slums, informal labour, congestion, and nativist politics at destination; circular and seasonal migration of construction, brick-kiln and agricultural labour, made visible by the 2020 lockdown reverse migration.
• Urbanisation processes: natural increase, net in-migration, and reclassification of settlements; India's urbanisation is often called "top-heavy" because million-plus cities grow fastest, and "over-urbanisation" where city growth outruns industrial jobs.
• Legal and policy frame: the Inter-State Migrant Workmen Act, 1979 and the BOCW Act, 1996 have been subsumed into the four Labour Codes in force from 21 November 2025, which provide for registration of migrant workers, portability of benefits and an all-India database; the One Nation One Ration Card scheme makes food entitlements portable.

Data sources and population policy in India

• Census: decennial since 1881 (first systematic 1872), conducted under the Census Act, 1948. The 2021 census was postponed; Government notified Census 2027 with reference moment 00:00 hours on 1 March 2027 (1 October 2026 for snow-bound areas of Ladakh, J&K, Himachal and Uttarakhand), to be digital with self-enumeration and to include caste enumeration. Operational details may change — check the latest notification.
• Civil Registration System (CRS): continuous registration of births and deaths under the Registration of Births and Deaths Act, 1969, amended in 2023 to make registration digital and to create a national database linkable to the electoral roll, ration card, Aadhaar and property records.
• Sample Registration System (SRS): large-scale dual-record sample survey run by the Office of the Registrar General since the mid-1960s; the official annual source for CBR, CDR, IMR, TFR and MMR.
• NFHS: National Family Health Survey, run through IIPS — NFHS-1 (1992–93) to NFHS-5 (2019–21), giving district-level data on fertility, contraception, nutrition, anaemia and domestic violence; NFHS-6 fieldwork is under way.
• Others: NSS consumption and employment rounds, PLFS (quarterly/annual labour force), Medical Certification of Cause of Death, HMIS, UDISE+.
• Policy milestones: India was the first country in the world to adopt a state family planning programme (1952); NPP 1976 and the coercive sterilisation drive during the Emergency (1975–77), after which the ministry was renamed Family Welfare and targets were discredited; the ICPD, Cairo 1994 shifted the global frame from demographic targets to reproductive rights; the National Population Policy 2000 adopted a target-free, voluntary, informed-choice approach aiming at replacement-level fertility and a stable population by 2045; NRHM 2005 (now NHM), Janani Suraksha Yojana, Mission Parivar Vikas (2016) for high-fertility districts, and injectable contraceptive Antara.
• Related law: the PCPNDT Act, 1994 bans pre-natal sex determination and disclosure of foetal sex; the MTP Act, 1971 as amended in 2021 permits termination up to 20 weeks on one doctor's opinion and up to 24 weeks for specified categories, with a medical board for substantial foetal abnormality beyond that.
• Constitutional link: the 42nd and 84th Amendments froze the allocation of Lok Sabha and Assembly seats on 1971 population figures until the first census taken after 2026, so that states which reduced fertility would not lose seats; this freeze and the resulting delimitation debate (southern states' objection) is now live. The 106th Amendment, 2023 (Nari Shakti Vandan Adhiniyam) reserves one-third of Lok Sabha and Assembly seats for women, to take effect after a census and delimitation.

Key points

• Demography – study of size, structure, distribution and change of populations through fertility, mortality and migration.
• Balancing equation – population change = natural increase (births − deaths) + net migration.
• Demographic transition – the shift from high to low birth and death rates; India is in late stage 3, with wide inter-state variation.
• Replacement-level fertility – TFR of about 2.1; India reached TFR 2.0 (NFHS-5, 2019–21), below replacement.
• Population momentum – numbers keep rising for decades after fertility falls, because the young age structure keeps the number of potential mothers large.
• Census 2011 headline figures – 1.21 billion, decadal growth 17.7%, density 382/km², sex ratio 943, child sex ratio 919, literacy 74.04%, urban 31.16%.
• Missing women (Sen) – the female deficit caused by sex selection and discriminatory care; shown by a child sex ratio far below the natural ratio.
• Demographic dividend – the temporary window of a low dependency ratio, open in India roughly to the 2050s, realisable only with jobs, health and skills.
• Dependency ratio – (population aged 0–14 plus 60+) ÷ population aged 15–59, times 100.
• Malthus vs Marx – scarcity caused by numbers versus poverty caused by distribution; the enduring axis of the population debate.
• Mamdani's critique – poor households demand children as labour and security, so supply-side contraception alone cannot cut fertility.
• Kerala model – low fertility and mortality with modest income, driven by female literacy, public health and land reform.
• BIMARU/EAG states – Bihar, MP, Rajasthan, UP (plus Jharkhand, Chhattisgarh, Uttarakhand, Odisha, Assam): high fertility, slower transition.
• Data sources – Census (count), CRS (continuous registration), SRS (annual rates), NFHS (health and fertility), PLFS (labour).
• NPP 2000 – voluntary, target-free, rights-based population policy; the Emergency sterilisation drive is the cautionary precedent.
• PCPNDT Act 1994 – bans pre-natal sex determination; MTP Act 1971 (amended 2021) governs legal termination limits.
• Seat freeze – Lok Sabha seats frozen on 1971 figures until the first census after 2026, making Census 2027 politically consequential.
• Ageing – 60+ rising from 8.6% (2011) towards a projected one-fifth by 2050, with more elderly women than men.

Formulas and examples

Example 1 — Vital rates and doubling time. A district has a mid-year population of 50,00,000 with 95,000 live births and 35,000 deaths in the year.

• CBR = (95,000 / 50,00,000) × 1,000 = 19.0 per 1,000
• CDR = (35,000 / 50,00,000) × 1,000 = 7.0 per 1,000
• RNI = (19.0 − 7.0)/10 = 1.2% per year
• Doubling time ≈ 70/1.2 = 58.3 years (ignoring migration).

Example 2 — TFR, GRR and NRR. ASFRs per 1,000 women: 15–19 = 40, 20–24 = 150, 25–29 = 130, 30–34 = 60, 35–39 = 20, 40–44 = 5, 45–49 = 1. Sum = 406.

• TFR = 5 × 406 / 1,000 = 2.03 children per woman
• With a sex ratio at birth of 929 girls per 1,000 boys, the female share of births = 929 / 1,929 = 0.4816. GRR = 2.03 × 0.4816 = 0.98 daughters per woman
• If 96% of girls survive to the mean age of childbearing, NRR = 0.98 × 0.96 = 0.94. NRR < 1 means each generation of mothers is not fully replaced — long-run decline, though momentum keeps numbers rising for some decades.

Example 3 — Decadal growth of India, 2001–2011. P₁ = 1,028.6 million (2001), P₂ = 1,210.6 million (2011).

• Decadal growth = (1,210.6 − 1,028.6)/1,028.6 × 100 = 17.7%
• Exponential annual rate = ln(1.1770)/10 = 0.1629/10 = 1.63% per year
• Density, with land area 32,87,263 km²: 1,210.6 million / 32,87,263 = 368 per km² (the Census figure of 382 uses 31,66,414 km² of reported area, so always state the area base used).

Example 4 — Sex ratio and child sex ratio. A block has 3,10,000 males and 2,90,000 females; among 0–6 year-olds, 42,000 boys and 38,000 girls.

• Overall sex ratio = (2,90,000 / 3,10,000) × 1,000 = 935
• Child sex ratio = (38,000 / 42,000) × 1,000 = 905 — lower than the overall ratio, which signals sex selection and neglect of girls rather than migration.

Example 5 — Mortality and dependency. A state records 1,20,000 live births, 3,200 infant deaths (of which 2,100 within 28 days) and 100 maternal deaths. Age structure: 0–14 = 25%, 15–59 = 63%, 60+ = 12%.

• IMR = (3,200 / 1,20,000) × 1,000 = 26.7 per 1,000
• NMR = (2,100 / 1,20,000) × 1,000 = 17.5 per 1,000 — so about 66% of infant deaths are neonatal, pointing to delivery and newborn care rather than nutrition or infection in later infancy.
• MMR = (100 / 1,20,000) × 1,00,000 = 83 per lakh live births
• Dependency ratio = [(25 + 12)/63] × 100 = 58.7 per 100 workers.

Where it is used

• Government statistical system: Office of the Registrar General and Census Commissioner (census, CRS, SRS), NSO/MoSPI (NSS, PLFS), IIPS Mumbai (NFHS) — roles as investigators, statistical officers, research officers and demographers.
• Health and nutrition programmes: NHM district action plans, Mission Parivar Vikas, Poshan Abhiyaan and immunisation drives use TFR, IMR, MMR and anaemia data to target districts.
• Development and policy research: NITI Aayog, state planning boards, Economic Survey chapters on demography, and think tanks (CPR, NCAER, IHD) use projections for school, hospital and pension planning.
• NGOs and CSR: Population Foundation of India, PRADAN, SEWA and UNFPA/UNICEF programmes on child marriage, sex ratio, migrant workers and adolescent health — baseline surveys and impact evaluation.
• Business and market research: Nielsen, Kantar and consumer-goods firms segment markets by age pyramid, household size and urbanisation; insurers and pension funds price products off life tables; banks use migration and remittance data.
• Political and administrative work: delimitation and constituency mapping, electoral roll revision, reservation of seats, census and electoral training, and state-level population policies.

Interview questions

• Q: What is the difference between fertility and fecundity? A: Fecundity is the biological capacity to reproduce; fertility is the number of children actually borne, which is far lower because of social norms, marriage age and contraception.
• Q: Why is TFR preferred to the crude birth rate? A: The CBR is distorted by the age and sex structure of the population, while TFR is built from age-specific rates and so compares populations of different structures fairly.
• Q: India's TFR has fallen below replacement, so why is the population still growing? A: Because of population momentum — the young age structure means a very large number of women are still entering their reproductive years, so births exceed deaths for decades.
• Q: What is the demographic dividend and what could turn it into a liability? A: A temporary fall in the dependency ratio that can raise savings and output per head; without enough jobs, health care and skills it produces unemployment and unrest instead.
• Q: Why did India's child sex ratio fall even as prosperity and literacy rose? A: Falling family size concentrated son preference, while ultrasound technology and rising incomes made sex-selective abortion accessible — prosperity without a change in patrilineal norms made it worse, as in Punjab and Haryana.
• Q: What did Mamdani argue against the population-control programme? A: In *The Myth of Population Control* he showed that poor Punjabi families valued children as labour and old-age security, so contraceptive supply failed; fertility falls when the economic reason for large families disappears.
• Q: How does the Kerala model explain low fertility without high income? A: Female literacy and autonomy, accessible public health, land reform and social movements lowered infant mortality and raised marriage age, which cut fertility independently of per-capita income.
• Q: What is the difference between the Census, CRS and SRS? A: The Census is a complete decennial count; the CRS is the continuous legal registration of each birth and death; the SRS is a large sample survey that produces reliable annual vital rates.
• Q: Why are Lok Sabha seats still allocated on 1971 population? A: The 42nd and 84th Amendments froze allocation until the first census after 2026, so that states which successfully reduced fertility would not be penalised with fewer seats.
• Q: What does the PCPNDT Act prohibit, and is it the same as banning abortion? A: It bans pre-natal sex determination and communication of the foetal sex, not abortion; abortion remains legal within the limits of the MTP Act, 1971 as amended in 2021.
• Q: Is a coercive two-child norm sound population policy? A: No — NPP 2000 and the Cairo consensus are voluntary and rights-based; coercion during the Emergency discredited the programme, and evidence shows female education and health services reduce fertility faster.
• Q: What are the main migration streams in India and which is largest? A: Rural–rural is the largest, driven mainly by women's marriage migration; rural–urban male labour migration is economically the most significant, and Census 2011 counted about 45.6 crore internal migrants in all.

Common mistakes

• Writing India's sex ratio as males per 1,000 females — the Indian convention is females per 1,000 males, so 943 means a female deficit.
• Treating TFR below 2.1 as immediate population decline, forgetting population momentum and the young age structure.
• Confusing MMR (per 1,00,000 live births) with IMR (per 1,000 live births), or quoting MMR as a "rate".
• Using "population explosion" and Malthus for present-day India without noting that growth is now below 1% and fertility below replacement.
• Quoting Census 2011 figures as if they were current, or quoting an estimate/projection as a count — say which source and year, especially while Census 2027 is pending.
• Explaining religious or caste fertility differentials by doctrine instead of by education, income and access to health care, which account for most of the gap.
• Forgetting migration in the balancing equation when a question asks for population change, and omitting it when explaining city growth (natural increase and reclassification matter too).

Related topics

Social stratification · Gender and society · Rural and urban sociology · Social change and development in India · Sociological research methods and statistics · Health and medicine in Indian society