Nepal · Child Stunting, Under 5 (survey, %)

24.8%2022

Publisher note: Nepal Demographic and Health Survey 2022. Kathmandu, Nepal: Ministry of Health and Population [Nepal]

Unit: percent of children under age 5. Publisher measure: Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), survey-based estimates.

Height-for-age below -2 SD, WHO country-level survey estimates, both sexes, no additional disaggregation; not model-based annual interpolation. Reference years are irregular survey labels; fieldwork windows were not supplied by the retained projection. Matching year labels do not prove matching collection periods.

Measurement basis: survey-based estimate; reference years are irregular.

Reference-period cadence: irregular survey reference years.

Displayed values are rounded, with extra precision when needed to keep a positive estimate positive. Downloads retain the full numeric estimate and the publisher's original display text separately.

A “<” sign means strictly below the stated number. Numeric readings and uncertainty endpoints keep their own comparison signs. A number without a sign does not establish certainty or an observed outcome.

World Health Organization (Global Health Observatory); retrieved 2026-09-07. Retrieval time is separate from an official publisher release vintage.

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One row per country, indicator and year, with raw values, source links and reuse notices. Thresholds have an empty numeric value and separate number/operator fields; value_kind distinguishes upper bounds from absent readings.

History and uncertainty

Charts plot numeric readings. Reported upper bounds create gaps; their values, uncertainty endpoints and source notes remain available in the table and downloads.

Reported estimates and uncertainty · 11 rows

Each comparison sign applies to its own reading or uncertainty endpoint. Values retain source precision. “Not reported” identifies an absent reading or uncertainty endpoint in this source capture.

Reported estimates and independently qualified uncertainty endpoints
CountryYearReadingLower endpointUpper endpointPublisher note
Nepal199568.2Not reportedNot reportedNepal multiple indicator surveillance: cycle I, Jan to March 1995 health and nutrition - final report (MICS). Kathmandu, Nepal, 1996 Age-adjusted; Converted estimate
Nepal199655.653.357.8Nepal family health survey, 1996. Demographic and Health Surveys. Ministry of Health. Kathmandu, Nepal, 1997 Reduced age range
Nepal199861.159.562.7Nepal micronutrient status survey 1998. Kathmandu, Nepal: Ministry of Health, Child Health Division, HMG/N, New ERA, Micronutrient Initiative, UNICEF Nepal and WHO, 2000 Reduced age range; Age calculated using alternate methods; Height/length modality (standing/lying) was not collected
Nepal200156.15458.1Nepal demographic and health survey 2001. Demographic and Health Surveys. Calverton, Maryland, USA: Family Health Division, Ministry of Health; New ERA; and ORC Macro, 2002
Nepal200649.146.751.6Nepal demographic and health survey 2006. Demographic and Health Surveys. Kathmandu, Nepal: Ministry of Health and Population, New ERA, and Macro International Inc., 2007
Nepal201041.5Not reportedNot reportedNepal Living Standards Survey 2010-2011, NLSS Third
Nepal201140.137.342.9Nepal demographic and health survey 2011. Demographic and Health Surveys. Kathmandu, Nepal: Ministry of Health and Population, New ERA, and ICF International, Calverton, Maryland 2012
Nepal201437.134.839.5Nepal Multiple Indicator Cluster Survey 2014: Final Report
Nepal201635.833.538.3Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: Ministry of Health, Nepal. 2017
Nepal201931.529.933.3Nepal Multiple Indicator Cluster Survey 2019, Survey Findings Report. Kathmandu, Nepal: Central Bureau of Statistics and UNICEF Nepal.
Nepal202224.822.727Nepal Demographic and Health Survey 2022. Kathmandu, Nepal: Ministry of Health and Population [Nepal]

One row per country, indicator and year, with raw values, source links and reuse notices. Thresholds have an empty numeric value and separate number/operator fields; value_kind distinguishes upper bounds from absent readings.