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From the IFT source library

Child Nutrition

Text from the existing IFT website. Sources and claims are still under editorial review.

Original source ↗

Section 01

Place, population & life stage

Define who, where and when.

Record geography, age or life stage, relevant subgroup, migration and household context, current service journey, population denominator, data period and uncertainty. Use safe aggregation and never expose identifiable health or reproductive information.

Connected system

Girls, Children, Nutrition & Early Development. This concept may change demand across school, health, jobs, housing, water, food, energy, transport, finance, women’s systems and national resilience.

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.

6 source-linked reference records. 3 measurement records still need data and a review of their relevance.

Data references for Child Nutrition
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Historical reference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Historical reference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

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

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

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

Forecast error and revision

Not established

Data required — not zero

Reporting period: Information Required

Population and geography: Information Required

Proposed measure; no observed value is established here.

Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number.

Source organisation: Information Required

Direct source URL: not yet verified

Source publication date: not established

Verification status: Data required

Service capacity gap

Not established

Data required — not zero

Reporting period: Information Required

Population and geography: Information Required

Proposed measure; no observed value is established here.

Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number.

Source organisation: Information Required

Direct source URL: not yet verified

Source publication date: not established

Verification status: Data required

Voluntary access and informed choice

Not established

Data required — not zero

Reporting period: Information Required

Population and geography: Information Required

Proposed measure; no observed value is established here.

Limitations: Define the measure, unit, reporting period and covered population; obtain a traceable dataset and review its suitability for this topic before using a number.

Source organisation: Information Required

Direct source URL: not yet verified

Source publication date: not established

Verification status: Data required

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

Section 02

Problem

Describe the outcome or capacity gap—not a demographic stereotype.

Track stunting, wasting, underweight, anaemia, diet diversity and early/school nutrition with consistent definitions and local action.

Demographic policy can become number-led while hiding unequal health, choice, care and service access.

National averages and one forecast cannot explain district, life-stage or migration differences.

State who is affected, the current result or service mismatch, timing, geography, coping cost, evidence strength and what remains unknown.

Section 03

Root causes

Test structural, service, economic and social explanations.

Fragmented and differently dated data

Compare current datasets, service access, protected lived experience, budgets and alternative explanations before verification.

Forecasts disconnected from budgets and capacity

Compare current datasets, service access, protected lived experience, budgets and alternative explanations before verification.

Gender, care and economic constraints treated separately

Compare current datasets, service access, protected lived experience, budgets and alternative explanations before verification.

Weak privacy, uncertainty and rights safeguards

Compare current datasets, service access, protected lived experience, budgets and alternative explanations before verification.

Section 04

Evidence

Match the evidence to the claim.

  • Evidence Question Boundary
  • Count or rate How many, among whom, where and when? Needs denominator, definition and coverage
  • Forecast What may happen under stated assumptions? Scenario, not a promise
  • Evaluation Did an intervention improve a human outcome? Needs comparator, follow-up and uncertainty

Evidence contract Source · definition · geography · population · period · method · subgroup · uncertainty · revision · privacy.

Section 05

How the parts work together

Girls, Children, Nutrition & Early Development

Treat every child as a person with equal value and a long development pathway.

Child Nutrition

Track stunting, wasting, underweight, anaemia, diet diversity and early/school nutrition with consistent definitions and local action.

The operating chain should identify voluntary access, information, trained people, service capacity, portability, finance, privacy, accountability, follow-up, forecast revision and cross-pillar dependencies.

Section 06

India-fit solutions

Support people, families and adaptable public capacity.

Build district and life-stage baselines with comparable definitions.

Use multiple scenarios and connect them to service-capacity decisions.

Protect voluntary choice, equality, privacy and access.

Measure health, capability, security and dignity rather than population size alone.

Decision checks

Choice; Equality; Privacy; Health; Access; Portability; Capacity; Cost; Uncertainty

Section 07

Roadmap

Protect rights now, test delivery and prepare long-term capacity.

  • 0–30 DAYS
  • Define

Verify geography, population, current service, immediate health or access need, rights boundary and evidence gap.

  • 30–90 DAYS
  • Diagnose

Compare datasets, service journeys, causes, capacity, alternatives, privacy, cost and scenario assumptions.

  • 3–18 MONTHS
  • Pilot

Select one district to connect population scenarios with school, health, housing, work and ageing capacity, then review decisions with community and expert input.

  • 1–10+ YEARS
  • Evaluate & adapt

Scale only after independent review of benefit, equity, informed choice, privacy, viability and unintended effects.

Section 08

How to measure improvement

Track human outcomes—not population numbers alone.

KPI 01

Forecast error and revision
Baseline · target · actual · subgroup · source · period · uncertainty

KPI 02

Service capacity gap
Baseline · target · actual · subgroup · source · period · uncertainty

KPI 03

Voluntary access and informed choice
Baseline · target · actual · subgroup · source · period · uncertainty

KPI 04

Healthy life-stage outcomes
Baseline · target · actual · subgroup · source · period · uncertainty

KPI 05

Equity and privacy compliance
Baseline · target · actual · subgroup · source · period · uncertainty

Decision gate Scale verified and equitable benefit; modify partial benefit; stop coercion, discrimination, rights harm or a non-performing intervention.

Section 09

Rights & safeguards

Population policy must expand informed choice and dignity.

Risk: Coercive or discriminatory population policy
Voluntary choice, legal basis, privacy, independent review and remedy required.

Risk: False precision in projections
Voluntary choice, legal basis, privacy, independent review and remedy required.

Risk: Sensitive personal data exposure
Voluntary choice, legal basis, privacy, independent review and remedy required.

Required No forced sterilisation, forced abortion, sex selection, birth quota, family-size penalty or birth-order discrimination Rights and services belong to every person and child.

Required Human accountability for algorithmic forecasts AI supports decisions; it does not decide rights, eligibility or reproductive choices.

  • PRIORITY 15 / 82
  • Girls, Children, Nutrition & Early Development
  • CORE RULE

Understand change, protect informed choice and plan services with uncertainty visible.

Add protected evidence ↓

15 questions, answered clearly

Questions about Child Nutrition

What does Child Nutrition focus on?

Track stunting, wasting, underweight, anaemia, diet diversity and early/school nutrition with consistent definitions and local action.

What changes does the page propose?

Build district and life-stage baselines with comparable definitions. Use multiple scenarios and connect them to service-capacity decisions. Protect voluntary choice, equality, privacy and access. Measure health, capability, security and dignity rather than population size alone.

Which parts need to work together?

The proposed system connects Girls, Children, Nutrition & Early Development; Child Nutrition. Assign a responsible team, service standard, handoff and maintenance plan for each part

What local information is needed before taking action?

Record geography, age or life stage, relevant subgroup, migration and household context, current service journey, population count used for the calculation, data period and uncertainty. Use safe aggregation and never expose identifiable health or reproductive information.

What could be causing the problem?

Possible causes to investigate include Fragmented and differently dated data; Forecasts disconnected from budgets and capacity; Gender, care and economic constraints treated separately; Weak privacy, uncertainty and rights safeguards. Treat these as questions to test against local records and experience, rather than confirmed causes in every location.

What evidence should researchers collect?

Keep a dated record of the location, the service or asset that failed, who was affected, the possible cause, the existing owner or project, and the result after action. Link each observation to its source and method. Evidence contract. Source · definition · geography · population · period · method · subgroup · uncertainty · revision · privacy.

What could a first trial of Child Nutrition look like?

Select one district to connect population scenarios with school, health, housing, work and ageing capacity, then review decisions with community and expert input. Agree the place, responsible team, comparison, safety checks and measurement period before starting. The trial described here is a proposal, not a reported result.

How should improvement be measured?

The page proposes tracking Forecast error and revision; Service capacity gap; Voluntary access and informed choice; Healthy life-stage outcomes; Equity and privacy compliance. Define each measure, record the starting value and reporting period, then compare later results using the same method. Report who benefits and any harm or uncertainty.

What risks and safeguards need attention?

Coercive or discriminatory population policy. Voluntary choice, legal basis, privacy, independent review and remedy required. False precision in projections. Voluntary choice, legal basis, privacy, independent review and remedy required. Sensitive personal data exposure. Voluntary choice, legal basis, privacy, independent review and remedy required. No forced sterilisation, forced abortion, sex selection, birth quota, family-size penalty or birth-order discrimination. Rights and services belong to every person and child. Human accountability for algorithmic forecasts. AI supports decisions; it does not decide rights, eligibility or reproductive choices.

What is the suggested order of work?

Protect rights now, test delivery and prepare long-term capacity. 0–30 DAYS. Define. Verify geography, population, current service, immediate health or access need, rights boundary and evidence gap. 30–90 DAYS. Diagnose. Compare datasets, service journeys, causes, capacity, alternatives, privacy, cost and scenario assumptions. 3–18 MONTHS. Pilot. Select one district to connect population scenarios with school, health, housing, work and ageing capacity, then review decisions with community and expert input. 1–10+ YEARS. Evaluate & adapt. Scale only after independent review of benefit, equity, informed choice, privacy, viability and unintended effects. These stages are planning ranges. Actual timing depends on local conditions, resources, permissions and delivery capacity.

Who should take responsibility for delivery?

Information Required: the named organisation and accountable local team. Responsibilities must cover Girls, Children, Nutrition & Early Development; Child Nutrition. Assign an owner for each handoff, record how problems will be escalated, and agree who will fund and maintain the work.

What costs should be checked before approval?

Girls, Children, Nutrition & Early Development. This concept may change demand across school, health, jobs, housing, water, food, energy, transport, finance, women’s systems and national resilience. State who is affected, the current result or service mismatch, timing, geography, coping cost, evidence strength and what remains unknown. Information Required: a local cost estimate, funding source and ongoing operating and maintenance budget. Include costs shifted to households or other services when comparing options.

How should access and fairness be checked?

The operating chain should identify voluntary access, information, trained people, service capacity, portability, finance, privacy, accountability, follow-up, forecast revision and cross-pillar dependencies. Protect voluntary choice, equality, privacy and access. Compare access, costs, safety and results across the groups affected in this location. Record missing information and correct exclusion before expanding the proposal.

When should the approach expand, change or stop?

Decision gate. Scale verified and equitable benefit; modify partial benefit; stop coercion, discrimination, rights harm or a non-performing intervention.

Does this page establish that the proposal has succeeded?

No verified local result should be inferred from the proposal alone. Information Required: a dated starting measurement, later results, costs, affected groups and an independent assessment. The proposed review should examine Forecast error and revision; Service capacity gap; Voluntary access and informed choice.