Ghana · Child Wasting, Under 5 (survey, %)
5.8%2022
Publisher note: Ghana Demographic and Health Survey 2022. Accra, Ghana, and Rockville, Maryland, USA: GSS and ICF.
Unit: percent of children under age 5. Publisher measure: Wasting prevalence among children under 5 years of age (% weight-for-height <-2 SD), survey-based estimates.
Weight-for-height below -2 SD, WHO country-level survey estimates, both sexes, no additional disaggregation; retain survey comments. 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.
Download this immutable source capture · Source and coverage corrections
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.
| Country | Year | Reading | Lower endpoint | Upper endpoint | Publisher note |
|---|---|---|---|---|---|
| Ghana | 1988 | 9.1 | 7.9 | 10.5 | Ghana demographic and health survey 1988. Demographic and Health Surveys. Ghana Statistical Service. Accra, Ghana, 1989 Reduced age range; Height/length modality (standing/lying) was not collected |
| Ghana | 1993 | 14.5 | 12.8 | 16.4 | Ghana demographic and health survey 1993. Demographic and Health Surveys. Calverton, Maryland: GSS and MI, 1994 Reduced age range |
| Ghana | 1997 | 8.2 | 7.3 | 9.2 | Ghana Core Welfare Indicators Questionnaire Survey 1997, First round Height/length modality (standing/lying) was not collected |
| Ghana | 1998 | 9.9 | 8.8 | 11.1 | Ghana demographic and health survey 1998. Demographic and Health Surveys. Calverton, Maryland: GSS and MI, 1999 |
| Ghana | 2003 | 8.4 | 7.4 | 9.5 | Ghana demographic and health survey 2003. Demographic and Health Surveys. Calverton, Maryland: GSS, NMIMR, and ORC Macro, 2004 |
| Ghana | 2006 | 6 | 5 | 7 | Monitoring the situation of children, women and men. Ghana Multiple indicator cluster survey 2006. |
| Ghana | 2008 | 8.7 | 7.7 | 9.8 | Ghana demographic and health survey 2008. Demographic and Health Surveys. Accra, Ghana: GSS, GHS, and ICF Macro, 2009 |
| Ghana | 2011 | 6.2 | 5.5 | 7 | Ghana multiple indicator cluster survey (MICS) with an enhanced malaria module and biomarker 2011: Final report. Accra, Ghana, 2012 Oedema data was not considered in the analysis |
| Ghana | 2014 | 4.7 | 3.6 | 6.1 | Ghana Demographic and Health Survey 2014. Rockville, Maryland, USA: GSS, GHS, and ICF International. |
| Ghana | 2017 | 6.8 | 6.1 | 7.6 | Multiple Indicator Cluster Survey (MICS2017/18), Survey Findings Report. Accra, Ghana: GSS |
| Ghana | 2022 | 5.8 | 4.9 | 6.8 | Ghana Demographic and Health Survey 2022. Accra, Ghana, and Rockville, Maryland, USA: GSS and ICF. |
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.