Question 1
Which population changes affect the service need in this place?
Safer lives. Better care. More choice.
Explore this pillar ›A rights-based approach to family wellbeing, demographic change and future opportunity.
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.
Which population changes affect the service need in this place?
How do different migration and age scenarios change the plan?
Are access, privacy and voluntary choices protected?
Data reference table
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.
| Signal | Reference Value | Period / Population | How to Read It | Source 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| Stunting among children under five | 35.5% Historical reference | NFHS-5, 2019–21 India; children under age five | Low height for age is a child-growth indicator; it is not a count of children enrolled in a nutrition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| Wasting among children under five | 19.3% Historical reference | NFHS-5, 2019–21 India; children under age five | Low weight for height measures a different growth condition from stunting; the percentages must not be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| Underweight among children under five | 32.1% Historical reference | NFHS-5, 2019–21 India; children under age five | Low weight for age is distinct from low height for age and low weight for height.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.
Evidence coverage and review log (CSV) · Structured evidence register (JSON)
Every available subject in this pillar
Read the topic names below and open the subject directly. The groupings are for navigation; each original topic remains separate.
IFT working ideas · Proposals for research
These are questions and proposals to develop, not completed programmes or established results.
Compare alternative age, migration and household scenarios with service-capacity needs.
Treat projections as scenarios, not promises or reasons to penalise families.
Study continuity of access when people move for work, study or care.
Measure completed service journeys while protecting identity and choice.
Review access to childcare, elder support and appropriate voluntary health services.
Use rights-based design without fixed family-size or birth-order penalties.
10 questions and answers
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.
Future conditions are uncertain. Comparing plausible scenarios helps planners examine how different assumptions change schools, care, housing, work and infrastructure needs.
Study origins, destinations, timing, household circumstances and service access using safe data. Avoid assuming that one migration pattern describes every district or group.
Examine access to health, mobility, housing, care and social participation as needs change. Local evidence should guide the services and responsibilities proposed.
Proposals should protect informed personal and family decisions. The framework should not become coercion, discrimination or a penalty linked to family choices.
Use safe aggregation and the least identifying detail needed. Keep identifiable health, reproductive and household information out of public evidence records.
A forecast is useful only if planners explain the service decisions it informs. Compare staff, facilities, operating resources and uncertainty alongside projected demand.
Compare local age patterns, migration, geography and current services. State data dates and definitions before treating figures from different places as comparable.
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.
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.