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National priority 15 · Population & Demography

Population, Family & Demographic Future

A rights-based approach to family wellbeing, demographic change and future opportunity.

Plan for changing lives with rights and choice.

Study age, migration, households, work and care needs through alternative scenarios. Connect those changes with schools, health, housing and service capacity. Demographic planning must not become coercion or a penalty for family choices.

Question 1

Which population changes affect the service need in this place?

Question 2

How do different migration and age scenarios change the plan?

Question 3

Are access, privacy and voluntary choices protected?

Data reference table

Evidence Snapshot

Read each value with its reporting period, population and limitations. A historical national reference is not a local baseline or proof that an IFT proposal works.

17 source-linked reference records. Publication checks do not independently reproduce the underlying data.

Data references for Population & Demography
SignalReference ValuePeriod / PopulationHow to Read ItSource Status
Stunting among children under five

35.5%

Historical reference

NFHS-5, 2019–21

India; children under age five

Low height for age is a child-growth indicator; it is not a count of children enrolled in a nutrition programme.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Wasting among children under five

19.3%

Historical reference

NFHS-5, 2019–21

India; children under age five

Low weight for height measures a different growth condition from stunting; the percentages must not be added.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Underweight among children under five

32.1%

Historical reference

NFHS-5, 2019–21

India; children under age five

Low weight for age is distinct from low height for age and low weight for height.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Full vaccination at age 12–23 months

76.4%

Historical reference

NFHS-5, 2019–21

India; children aged 12–23 months; vaccination card or mother’s recall

Coverage follows the NFHS definition of the specified childhood vaccine series, not all vaccines at all ages.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Card availability and recall can affect ascertainment.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Exclusive breastfeeding under six months

63.7%

Historical reference

NFHS-5, 2019–21

India; children under age six months

This is the survey feeding-practice indicator for eligible infants, not a measure of maternity-leave coverage or an individual care instruction.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Feeding recall and the survey definition must be retained.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Mothers with at least four antenatal visits

58.1%

Reported value — scope clarification required

NFHS-5, 2019–21

Mothers covered by the cited NFHS-5 antenatal-care indicator; precise age, last-live-birth and lookback eligibility require confirmation.

This measures four-or-more visits. It cannot establish completion of eight contacts, the quality of each contact or effective referral.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Visit counts do not verify all recommended services. The reported percentage is not labelled here as coverage of all pregnancies; denominator details still require verification.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Period / coverage needs clarification

Institutional births

88.6%

Reported value — scope clarification required

NFHS-5, 2019–21

Births covered by the cited NFHS-5 indicator; the exact eligible birth-history lookback needs confirmation.

Birth in a facility is an access indicator; it does not by itself establish respectful, timely or safe care.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. This is not a facility-readiness or maternal-outcome rate. Do not interpret survey fieldwork years as the birth-history denominator.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Period / coverage needs clarification

Households with a usual member covered by a health insurance or financing scheme

41.0%

Historical reference

NFHS-5, 2019–21

India; households with at least one usual member covered

Household coverage of any member is not the share of all people fully protected from care costs.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Reported coverage does not prove that a benefit was usable or that all costs were paid.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Total fertility rate

2.0 children per woman

Historical reference

NFHS-5, 2019–21; fertility calculation uses birth histories preceding the survey

India; national period fertility estimate based on women’s birth histories

This is a period fertility measure, not a desired family-size instruction, a population-growth rate or a target for an individual.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. State variation and the age structure remain important; no coercive inference is supported.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Current use of any family-planning method

66.7%

Historical reference

NFHS-5, 2019–21

India; currently married women aged 15–49

The denominator is currently married women aged 15–49. It is not all women, all couples or voluntary informed-choice quality.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Method use alone does not establish consent, suitability or uninterrupted availability.

Ministry of Finance, Government of India; underlying NFHS data: Ministry of Health and Family Welfare

Official government release

Economic Survey 2022–23: health indicator table

Published: 2023-01-31

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Anaemia among pregnant women aged 15–49

52.2%

Historical reference

NFHS-5, 2019–21

India; pregnant women aged 15–49

A pregnancy-specific survey prevalence reference for nutrition and antenatal-system research.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Sample size, pregnancy-specific classification and testing method matter; no treatment dose follows from this table.

Ministry of Health and Family Welfare, Government of India

Official government release

Anaemia Mukt Bharat: NFHS-5 prevalence by population group

Published: 2022-02-04

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Anaemia among adolescent girls

59.1%

Historical reference

NFHS-5, 2019–21

India; girls aged 15–19

Use the adolescent age band rather than treating the value as the prevalence among all women.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. It is not a measure of school attendance or programme reach.

Ministry of Health and Family Welfare, Government of India

Official government release

Anaemia Mukt Bharat: NFHS-5 prevalence by population group

Published: 2022-02-04

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Anaemia among children aged 6–59 months

67.1%

Historical reference

NFHS-5, 2019–21

India; children aged 6–59 months

The age interval excludes younger infants. Compare only with the same age group and testing definition.

Limitations: Historical household-survey estimate. Sampling, non-response and measurement limitations apply; the India figure cannot be assigned to a district or an individual. Anaemia is not interchangeable with stunting, wasting or iron deficiency alone.

Ministry of Health and Family Welfare, Government of India

Official government release

Anaemia Mukt Bharat: NFHS-5 prevalence by population group

Published: 2022-02-04

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Maternal mortality ratio

88 maternal deaths per 100,000 live births

Historical reference

SRS, 2021–23

India; maternal mortality estimate relative to live births

A three-year sample-registration ratio; it is not a raw death count or a district emergency-response measure.

Limitations: Official SRS estimate reproduced in a government reply. National aggregation and sampling uncertainty apply; no individual risk or local causal conclusion follows.

Ministry of Health and Family Welfare, citing Registrar General of India SRS

Official government release

Steps taken for Reducing Maternal Mortality

Published: 2026-03-13

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Infant mortality rate

27 deaths per 1,000 live births

Historical reference

SRS, 2021

India; deaths before age one relative to live births

A sample-registration mortality estimate. Read separately from NFHS retrospective mortality estimates.

Limitations: Historical national estimate; it does not establish a current facility or district rate. No confidence interval is supplied in the linked release.

Ministry of Health and Family Welfare, citing Registrar General of India SRS

Official government release

Maternal and child mortality indicators: SRS 2021 release

Published: 2025-05-10

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Neonatal mortality rate

19 deaths per 1,000 live births

Historical reference

SRS, 2021

India; neonatal deaths relative to live births

This concerns the neonatal period, not the full first year or all under-five deaths.

Limitations: Historical SRS estimate; do not add it to infant mortality, which already includes neonatal deaths. It is not a local facility measure.

Ministry of Health and Family Welfare, citing Registrar General of India SRS

Official government release

Maternal and child mortality indicators: SRS 2021 release

Published: 2025-05-10

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Under-five mortality rate

31 deaths per 1,000 live births

Historical reference

SRS, 2021

India; mortality before age five relative to live births

A child-survival reference distinct from nutrition prevalence and programme enrolment.

Limitations: Historical national SRS estimate, not the current death count. Mortality measures with different age endpoints overlap and must not be added.

Ministry of Health and Family Welfare, citing Registrar General of India SRS

Official government release

Maternal and child mortality indicators: SRS 2021 release

Published: 2025-05-10

Publication checked: 2026-11-04

Value, period and coverage checked in publication

Different surveys, administrative records, estimates and reporting years are not interchangeable. No combined IFT score is calculated from these rows.

Every available subject in this pillar

All 94 topics, organised here.

Read the topic names below and open the subject directly. The groupings are for navigation; each original topic remains separate.

Core subjects & practical pathways (61)

Adolescent Health & Education ›Age-Friendly India ›Ageing, Disability & Long-Term Care ›Ageing India ›Child-Friendly India ›Child Marriage Prevention ›Child Nutrition ›Childcare Economy ›Girls, Children, Nutrition & Early Development ›Delayed First Pregnancy ›Demographic Dividend ›Demographic Intelligence, Maps & Forecasts ›Demographic Shock Response ›Demographically Smart Cities ›Demography + Defence ›Demography + Economy ›Demography + Health ›Demography + Jobs ›Demography + National Security ›Demography + School ›Demography + Women ›District Demographic Map ›Early Childhood Development ›Elderly Economic Security ›Every Pregnancy Supported ›Family Economic Security ›Family Economy, Childcare & Shared Parenting ›Family-Friendly India ›Family-Friendly Workplaces ›Family Housing Security ›Family Well-Being ›Fatherhood & Responsible Parenting ›Girl Child Priority ›Global Model Study ›Healthy Ageing ›Healthy Birth Spacing ›Infertility Support ›KPIs, Roadmap & Population Master Model ›Life Expectancy & Healthspan ›Maternal & Paternal Leave ›Men’s Responsibility ›Migration Demographics ›Migration, Cities, Rural Areas & Small Towns ›National Demographic Life-Cycle ›No Sex Selection ›Population & Education Forecast ›Population & Environment ›Population & Food Forecast ›Population & Health Forecast ›Population & Housing Forecast ›Population & Job Forecast ›Population & Poverty ›Population Forecasting ›India For Tomorrow Population Master Model ›Roadmap ›Rural Demographic Future ›Small-Town Demographic Strategy ›What India Must Not Do ›What India Should Do ›Women’s Economic Participation ›Youth Population Mission ›

IFT working ideas · Proposals for research

Practical ideas to investigate.

These are questions and proposals to develop, not completed programmes or established results.

Local demographic service scenarios

Compare alternative age, migration and household scenarios with service-capacity needs.

What must be checked

Treat projections as scenarios, not promises or reasons to penalise families.

Portable support for mobile households

Study continuity of access when people move for work, study or care.

What must be checked

Measure completed service journeys while protecting identity and choice.

Shared care and family wellbeing

Review access to childcare, elder support and appropriate voluntary health services.

What must be checked

Use rights-based design without fixed family-size or birth-order penalties.

Connected priorities.

10 questions and answers

Questions about Population, Family & Demographic Future

What is demographic planning intended to improve?

It connects changing ages, households, migration and care needs with public-service capacity. The aim is better support across life stages, not population targets alone.

Why use more than one population scenario?

Future conditions are uncertain. Comparing plausible scenarios helps planners examine how different assumptions change schools, care, housing, work and infrastructure needs.

How should migration be included?

Study origins, destinations, timing, household circumstances and service access using safe data. Avoid assuming that one migration pattern describes every district or group.

How does ageing affect the questions being studied?

Examine access to health, mobility, housing, care and social participation as needs change. Local evidence should guide the services and responsibilities proposed.

What does voluntary choice mean for this pillar?

Proposals should protect informed personal and family decisions. The framework should not become coercion, discrimination or a penalty linked to family choices.

What demographic information can be public?

Use safe aggregation and the least identifying detail needed. Keep identifiable health, reproductive and household information out of public evidence records.

Why connect forecasts with budgets and capacity?

A forecast is useful only if planners explain the service decisions it informs. Compare staff, facilities, operating resources and uncertainty alongside projected demand.

How should district differences be handled?

Compare local age patterns, migration, geography and current services. State data dates and definitions before treating figures from different places as comparable.

When should a plan be revised?

Review assumptions and capacity decisions when new evidence changes the picture. Record forecast errors and revisions instead of treating an initial projection as fixed truth.

What should a demographic pilot measure?

Track service access, capacity gaps, equity, privacy and the usefulness of planning decisions. A change in population size alone does not establish a successful programme.