Prevalence of wasting, weight for height (% of children under 5) - Country Ranking

Definition: Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.

Source: UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Djibouti 21.50 2012
2 India 17.30 2017
3 Yemen 16.40 2013
4 Sudan 16.30 2014
5 Mauritius 15.70 1995
6 Sri Lanka 15.10 2016
7 Eritrea 14.60 2010
8 Somalia 14.30 2009
9 Papua New Guinea 14.10 2010
10 Chad 13.90 2019
11 Nepal 12.00 2019
12 Saudi Arabia 11.80 2004
13 Mauritania 11.50 2018
13 Syrian Arab Republic 11.50 2010
15 Comoros 11.20 2012
16 Libya 10.20 2014
16 Indonesia 10.20 2018
18 Timor-Leste 9.90 2013
19 Bangladesh 9.80 2019
19 Niger 9.80 2019
21 Cambodia 9.70 2014
21 Malaysia 9.70 2019
23 Egypt 9.50 2014
24 Oman 9.30 2017
24 Mali 9.30 2019
26 Guinea 9.20 2018
27 Lao PDR 9.00 2017
28 Solomon Islands 8.50 2015
29 Congo 8.20 2014
29 Ukraine 8.20 2000
31 Burkina Faso 8.10 2019
31 Senegal 8.10 2019
33 Guinea-Bissau 7.80 2019
34 Thailand 7.70 2019
35 Botswana 7.30 2007
36 Ethiopia 7.20 2019
37 Pakistan 7.10 2018
37 Namibia 7.10 2013
39 Cabo Verde 6.90 1994
40 Ghana 6.80 2017
40 Barbados 6.80 2012
42 Myanmar 6.70 2018
43 Lebanon 6.60 2004
43 Bahrain 6.60 1995
45 Nigeria 6.50 2020
46 Madagascar 6.40 2018
46 Trinidad and Tobago 6.40 2011
46 Guyana 6.40 2014
46 Dem. Rep. Congo 6.40 2017
50 Bulgaria 6.30 2014
50 Fiji 6.30 2004
52 Côte d'Ivoire 6.10 2016
53 Bhutan 5.90 2010
54 Vietnam 5.80 2017
55 Togo 5.70 2017
56 Tajikistan 5.60 2017
56 Philippines 5.60 2018
58 Suriname 5.50 2018
59 Sierra Leone 5.40 2019
60 Central African Republic 5.20 2019
61 Afghanistan 5.10 2018
61 The Gambia 5.10 2020
63 Benin 5.00 2018
64 Angola 4.90 2015
65 Burundi 4.80 2019
66 Vanuatu 4.70 2013
67 Czech Republic 4.60 2001
68 Mozambique 4.40 2015
68 Armenia 4.40 2016
70 Seychelles 4.30 2012
70 Cameroon 4.30 2018
72 Kenya 4.20 2014
72 Zambia 4.20 2018
74 Venezuela 4.10 2009
74 São Tomé and Principe 4.10 2019
74 Turkmenistan 4.10 2019
77 Iran 4.00 2010
78 St. Lucia 3.70 2012
78 Ecuador 3.70 2019
78 Haiti 3.70 2017
81 Singapore 3.60 2000
82 Kiribati 3.50 2018
82 Romania 3.50 2002
82 Uganda 3.50 2016
82 Tanzania 3.50 2018
86 South Africa 3.40 2017
86 Liberia 3.40 2019
86 North Macedonia 3.40 2019
86 Gabon 3.40 2012
90 Jamaica 3.30 2016
90 Tuvalu 3.30 2007
92 Azerbaijan 3.20 2013
93 Equatorial Guinea 3.10 2011
93 Kazakhstan 3.10 2015
93 Samoa 3.10 2019
96 Iraq 3.00 2018
97 Brunei 2.90 2009
97 Zimbabwe 2.90 2019
99 Algeria 2.70 2019
100 Morocco 2.60 2017
100 Serbia 2.60 2019
102 Dem. People's Rep. Korea 2.50 2017
102 Kuwait 2.50 2017
104 Jordan 2.40 2012
104 Dominican Republic 2.40 2013
106 Japan 2.30 2010
106 Bosnia and Herzegovina 2.30 2012
108 Belarus 2.20 2005
108 Nicaragua 2.20 2012
108 Montenegro 2.20 2018
111 Lesotho 2.10 2018
111 El Salvador 2.10 2014
111 Tunisia 2.10 2018
111 Qatar 2.10 1995
115 Eswatini 2.00 2014
115 Kyrgyz Republic 2.00 2018
115 Cuba 2.00 2019
115 Bolivia 2.00 2016
119 Moldova 1.90 2012
119 China 1.90 2017
121 Costa Rica 1.80 2018
121 Belize 1.80 2015
121 Brazil 1.80 2007
121 Uzbekistan 1.80 2017
125 Turkey 1.70 2018
126 Albania 1.60 2017
126 Argentina 1.60 2019
126 Colombia 1.60 2016
129 Estonia 1.50 2014
130 Mexico 1.40 2019
130 Uruguay 1.40 2018
130 Honduras 1.40 2012
133 Panama 1.20 2008
133 Korea 1.20 2009
135 Rwanda 1.10 2020
135 Tonga 1.10 2019
137 Paraguay 1.00 2016
137 Netherlands 1.00 2009
137 Nauru 1.00 2007
140 Mongolia 0.90 2018
141 Guatemala 0.80 2015
142 Poland 0.70 2011
143 Georgia 0.60 2018
143 Greece 0.60 2003
143 Malawi 0.60 2019
143 Portugal 0.60 2016
147 Belgium 0.40 2014
147 Peru 0.40 2019
149 Chile 0.30 2014
149 Germany 0.30 2016
151 United States 0.10 2018
152 Australia 0.00 2007

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Aggregation method: Linear mixed-effect model estimates

Periodicity: Annual

General Comments: Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them int