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Population & Demographics

📊 High-Yield Data & Statistical Fact Sheet
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National TFR (NFHS-5)
  • Declined to 2.0 (below replacement rate 2.1). 31 States/UTs achieved TFR ≤ 2.1.
  • **UN World Population Prospects (2025 revision)**: TFR estimated even lower at **~1.9-1.93**, with population at **~1.46 Billion** (world's largest), projected to **peak around ~1.7 Billion** in the next ~40 years before declining. Sharp regional divide persists: high-fertility Bihar/UP/Jharkhand vs low-fertility Kerala/Delhi/TN.
Census 2027 & Delimitation
  • India's next Census will be **digital-first**, conducted in **two phases** (2026 houselisting, Feb 2027 population count), and will **include caste enumeration nationwide for the first time since 1931**. Results expected around **1 March 2027**.
  • **Delimitation link**: The first delimitation since 2011 is expected to follow Census 2027, requiring a new Delimitation Act (and possibly amending Art 81's 550-seat Lok Sabha cap) — southern states have flagged concerns over reduced parliamentary representation.
Land & Population Ratio
  • India hosts ~17.8% of global population on 2.4% of global land area (464 persons/sq km).
Dependency Ratio
  • Favorable at 49.2 (vs global average 54.36). Senior citizen population (≥ 60) projected to reach 20% by 2050.
Population Policy 2000 Target
  • Targeted population stabilization by 2045.
1. THE DEMOGRAPHIC TRANSITION THEORY
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Demographic Transition Stages
  • **Stage I**: High Birth Rate & High Death Rate (Stable/Low growth).
  • **Stage II**: High Birth Rate & Falling Death Rate (Population Explosion).
  • **Stage III**: Falling Birth Rate & Low Death Rate (Growth slowing).
  • **Stage IV**: Low Birth Rate & Low Death Rate (Stable/India entering).
Expansive Population Pyramid
  • Wide base, indicating high birth rates and a young population.
Stationary Population Pyramid
  • Cylindrical structure, indicating stable birth and death rates.
Constrictive Population Pyramid
  • Narrow base, indicating declining birth rates and an aging population.
2. THE DEMOGRAPHIC DIVIDEND & SKILL DEVELOPMENT
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Demographic Dividend
  • Economic growth boost when working-age population (15 to 64 years) outnumbers dependents.
NSQF Skill Framework
  • Competency-based framework organizing qualifications into 10 levels.
PMKVY Skill Scheme
  • Flagship skill certification offering short-term training and Recognition of Prior Learning (RPL).
3. MIGRATION & URBANISATION TRENDS
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Push vs Pull Migration Factors
  • **Push factors**: Rural unemployment, low wages, land fragmentation. **Pull factors**: Urban jobs, better wages, education, and healthcare access.
Types of Internal Migration
  • Classified by direction as rural-to-urban, rural-to-rural, urban-to-urban, and urban-to-rural — rural-to-urban dominates India's internal migration flow.
Urbanisation Rate
  • India remains majority-rural (~65-69% rural population) but is urbanising steadily, driven by both migration and reclassification of rural areas as towns.
Sex Ratio & Child Sex Ratio
  • **Sex Ratio**: Females per 1,000 males in total population. **Child Sex Ratio (0–6 yrs)**: A more sensitive indicator of sex-selective practices, tracked via Beti Bachao Beti Padhao.
4. DEMOGRAPHIC DIVIDEND WINDOW & THE JOBLESS-GROWTH DEBATE
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Dividend Window Length
  • **Demographic dividend** = a **20-30 year window** when working-age share peaks; per Economic Survey 2012-13 (Ch. 2, "Seizing the Demographic Dividend"), India expects this phase to end around **2045**, by when a stable, balanced population is targeted.
Optimism vs Pessimism on the Dividend
  • **Optimists**: Falling dependency ratio → more workers, savings, capital per worker; high-growth states (TN, Karnataka, Gujarat) historically had ~8.7 percentage-point lower dependency ratios than low-growth states (Bihar, MP, UP). Productivity peaks at age **40-49**, and India will expand this cohort while China/Korea/US contract it.
  • **Pessimists**: A bigger workforce raises growth only if **productive jobs exist** for it; the real test is whether industry/services can absorb workers leaving agriculture.
Why WAP Growth Contributes Little Directly
  • Growth-decomposition studies find the rising working-age population share added only ~0.5 percentage points to India's per-capita income growth since 1991 — the dividend's real effect flows indirectly through higher labour productivity (more capital/worker, more human capital/worker, higher TFP), not merely a larger labour force.
'Missing Jobs' Projections (Economic Survey 2012-13)
  • Holding 2010 LFPR/unemployment constant, an estimated 2.8 million jobs would be missing by 2020 as agriculture's employment share fell toward 40%; under a higher female-LFPR scenario (58%) this rises to 16.7 million, and under a falling-unemployment scenario to 11.8 million — illustrating the dividend can turn into a "demographic curse" without adequate non-farm job creation.
5. HUMAN DEVELOPMENT INDEX (HDI) & GENDER INDICES
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HDI: Three Core Dimensions
  • UNDP's Human Development Index combines three dimensions: (i) Life Expectancy (long & healthy life), (ii) Access to Knowledge (mean + expected years of schooling), (iii) Standard of Living (GNI per capita, PPP $). India historically fell under the medium human development category (HDR-2013: HDI 0.554, rank 136/187), rising from 0.345 in 1980 — an ~61% increase over three decades, driven mostly by rising GNI per capita.
Gender Inequality Index (GII)
  • Measures inequality in reproductive health, empowerment, and economic activity. Tracks metrics like Parliamentary seat share held by women, secondary-education attainment gap, maternal mortality ratio, and female vs male labour-force participation gap — used alongside HDI to flag that aggregate HDI gains can mask gender disparity.
HDI vs MPI: Complementary, Not Substitute Measures
  • HDI captures average achievement across a country; the Multidimensional Poverty Index (MPI) captures the depth/overlap of deprivations at the household level (health, education, living standards) — a country can show rising HDI while still carrying a large multidimensionally-poor population, a classic exam-trap distinction.
6. FUNDAMENTALS CHECK — CENSUS & SEX RATIO BASICS
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Census of India — Basic Facts
  • Conducted decennially (every 10 years) since 1872 (first synchronous all-India census: 1881); Registrar General & Census Commissioner of India (Ministry of Home Affairs) is the nodal authority. Last conducted: 2011 — the 2021 Census was postponed (COVID-19) and is now scheduled as a digital-first exercise across 2026-27 (see Fact Sheet above).
Census 2011 — Baseline Figures
  • Population: ~121 crore. Sex Ratio: 943 females per 1,000 males (up from 933 in 2001). Child Sex Ratio (0-6 yrs): 919 (down from 927 in 2001) — the decline despite overall sex ratio improvement highlights persistent sex-selective practices.
Population Pyramid — Concept
  • A graphical (usually back-to-back bar chart) representation of a population's age-sex structure, with age cohorts on the vertical axis and population/percentage on the horizontal axis, split by sex. Its shape (expansive/stationary/constrictive — see Section 1) reveals a country's demographic-transition stage at a glance.
7. MIGRATION — LEGAL FRAMEWORK & INFORMATION SYSTEMS
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Inter-State Migrant Workmen Act, 1979
  • Seeks to **regulate employment of inter-state migrants** and their conditions of service.
  • **Principal employer prohibited** from employing inter-state workmen **without a certificate of registration** from state authorities.
  • Applicable to **every establishment with more than 5 migrant workmen**.
  • Establishment **cannot discriminate** against migrant workers with respect to **holidays, working hours, wages** etc.
  • Subsumed into the **Labour Code on Occupational Safety, Health and Working Conditions** (one of the 13 laws replaced).
National Migrant Information System (NMIS)
  • **Online dashboard developed by NDMA**.
  • Maintains a **central repository of migrant workers**; helps in **speedy inter-state communication** to facilitate smooth movement of migrant workers to their native places.
  • Also helped in **contact tracing during COVID-19**.
8. NATIONAL ECONOMIC CENSUS & STATISTICAL MACHINERY
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National Economic Census
  • A complete count of all establishments located within the geographical boundary of India.
  • By MoSPI7th edition in 2019; first in 1977; not conducted at regular intervals.
  • Conducted under the Collection of Statistics Act, 2008.
  • Covers all households/establishments engaged in agriculture (excluding crop production and plantations) as well as non-agricultural economic activities including construction (except public administration, defence).
  • For the 7th census, MoSPI partnered with CSC e-Governance Services — an SPV under MeitY — as implementing agency; for the first time the entire census was conducted on a digital platform using an app.
National Statistical Commission (NSC)
  • Set up as an **interim measure in 2005 by a notification** on the recommendation of the **Rangarajan Committee**; an **advisory body, not statutory**.
  • **2019 Bill composition**: Chairman + **5 members**, **Deputy Governor of RBI**, **Chief Statistician of India**, **Chief Economic Advisor** (MoFinance); statistical audit; independent secretariat.
  • **Powers/functions**: advice on legislative measures for official statistics; identify and evolve national policies and priorities; devise a **Code of Conduct**; statistical coordination between ministries/departments/agencies; act as **warehouse of core statistics**.
National Statistical Office (NSO)
  • Formed by merging CSO and NSSO; headed by the Secretary of MoSPI.
Periodic Labour Force Survey (PLFS)
  • By NSO, MoSPI; India's 1st computer-based survey; launched in 2017.
9. POPULATION HEALTH & DEPRIVATION METRICS
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Disability Adjusted Life Years (DALY)
  • Expresses **premature mortality and disability**.
  • Made up of — **Years of Life Lost (YLL)** (premature death before average life expectancy) + **Years of Life Lived with Disability (YLD)**.
  • **DALY = YLL + YLD** — portrays the **total health loss** a person experiences during their life. **1 DALY = loss of 1 year of full health**.
Multidimensional Poverty Index (MPI) — Household Deprivation Indicators
  • **Health**: *Nutrition* — an adult under 70 years of age or a child is undernourished; *Child mortality* — any child under the age of 18 years has died in the five years preceding the survey.
  • **Education**: *Years of schooling* — no household member aged 10 years or older has completed six years of schooling; *School attendance* — any school-aged child is not attending school up to the age at which he/she would complete class 8.
  • **Standard of living**: *Cooking fuel* — household cooks with dung, wood, charcoal or coal; *Sanitation* — facility not improved (per SDG guidelines) or improved but shared; *Drinking water* — no access to improved drinking water (per SDG guidelines) or safe drinking water at least a 30-minute walk from home (round trip); *Electricity* — household has no electricity; *Housing* — materials for at least one of roof, walls and floor are inadequate (floor of natural material and/or roof/walls of natural or rudimentary materials); *Assets* — household does not own more than one of radio, TV, telephone, computer, animal cart, bicycle, motorbike or refrigerator, and does not own a car or truck.
HDR Family of Indices
  • The **Human Development Report** carries **5 indices** — **HDI**, **Inequality-Adjusted HDI (IHDI)**, **Gender Development Index (GDI)**, **Multidimensional Poverty Index (MPI)** and **Gender Inequality Index (GII)**.
  • **HDI dimensions**: (1) *Health* — life expectancy at birth (min 20, India ~68.3, max 85 years); (2) *Knowledge* — mean years of schooling for those aged 25+ (min 0, India 6.3 yrs, max 15) and expected years of schooling (min 0, India 11.7 yrs, max 18); (3) *Standard of living* — GNI per capita (min 100, max 75,000).
  • **Gender Development Index = Female HDI / Male HDI** — uses the same standards as HDI (Health, Education, Living Standards).
Mathew Effect
  • **Middle classes tend to be the main beneficiary** of social benefits and services targeted for the poor — "the rich get richer, the poor get poorer".