Prevalence of underweight, weight for age, female (% of children under 5) - Country Ranking

Definition: Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.

Source: World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Eritrea 39.90 2010
2 Yemen 39.00 2013
3 Timor-Leste 36.10 2013
4 India 34.40 2017
5 Sudan 31.50 2014
6 Niger 29.30 2019
7 Djibouti 28.70 2012
8 Chad 26.90 2019
9 Papua New Guinea 26.60 2010
10 Burundi 25.10 2019
11 Cambodia 25.00 2014
12 Madagascar 24.20 2018
13 Nepal 23.90 2019
14 Bangladesh 22.90 2019
15 Pakistan 22.10 2018
16 Philippines 21.30 2015
17 Somalia 20.70 2009
18 Lao PDR 20.60 2017
19 Sri Lanka 20.40 2016
19 Dem. Rep. Congo 20.40 2017
21 Myanmar 19.50 2018
22 Central African Republic 19.30 2019
23 Ethiopia 19.00 2019
24 Afghanistan 18.70 2018
25 Guinea-Bissau 17.40 2019
26 Angola 17.10 2015
26 Mauritania 17.10 2018
28 Indonesia 16.60 2018
28 Comoros 16.60 2012
30 Solomon Islands 16.10 2015
31 Mali 15.90 2019
32 Benin 15.80 2018
33 Nigeria 15.00 2020
34 Guinea 14.90 2018
35 Mozambique 14.60 2015
36 Burkina Faso 14.50 2019
37 Togo 14.30 2017
38 Tanzania 13.50 2018
39 Sierra Leone 12.80 2019
40 Senegal 12.70 2019
41 Malaysia 12.60 2019
42 Guatemala 12.10 2015
43 Bhutan 12.00 2010
44 Côte d'Ivoire 11.60 2016
45 Oman 11.40 2017
45 Namibia 11.40 2013
45 Vietnam 11.40 2010
48 Botswana 11.20 2007
48 Congo 11.20 2014
50 Ghana 11.00 2017
51 Libya 10.50 2014
52 The Gambia 10.40 2020
52 Liberia 10.40 2019
54 Vanuatu 10.30 2013
55 Zambia 10.20 2018
56 Kenya 10.00 2014
57 Cameroon 9.90 2018
58 Uganda 9.40 2016
59 Lesotho 9.10 2018
60 Zimbabwe 9.00 2019
61 Syrian Arab Republic 8.90 2010
61 Dem. People's Rep. Korea 8.90 2017
63 Brunei 8.50 2009
64 Haiti 8.30 2017
65 Malawi 8.20 2019
66 Guyana 7.00 2014
66 Tajikistan 7.00 2017
68 Thailand 6.60 2019
69 Honduras 6.50 2012
70 Rwanda 6.30 2020
71 Egypt 6.20 2014
72 Kiribati 5.80 2018
73 Fiji 5.70 2004
73 Suriname 5.70 2018
75 Mexico 5.30 2019
76 Equatorial Guinea 5.20 2011
77 Azerbaijan 4.90 2013
78 Barbados 4.70 2012
78 São Tomé and Principe 4.70 2019
80 Gabon 4.60 2012
81 Saudi Arabia 4.50 2004
81 El Salvador 4.50 2014
83 Eswatini 4.30 2014
83 Nicaragua 4.30 2012
85 Ecuador 4.20 2019
85 South Africa 4.20 2017
85 Iran 4.20 2010
88 Dominican Republic 4.10 2013
88 Belize 4.10 2015
90 Iraq 4.00 2018
91 Jamaica 3.90 2016
92 Trinidad and Tobago 3.80 2011
93 Montenegro 3.60 2018
94 Ukraine 3.50 2000
94 Colombia 3.50 2016
96 Samoa 3.40 2019
97 Japan 3.30 2010
98 Costa Rica 3.20 2018
99 Georgia 3.10 2018
99 Seychelles 3.10 2012
101 Romania 2.90 2002
101 Nauru 2.90 2007
101 Bolivia 2.90 2016
104 Lebanon 2.80 2004
105 Uzbekistan 2.70 2017
106 Turkmenistan 2.60 2019
106 Jordan 2.60 2012
106 Panama 2.60 2019
106 Kuwait 2.60 2014
110 Morocco 2.50 2017
110 Cuba 2.50 2019
112 Algeria 2.40 2019
113 China 2.20 2013
113 Brazil 2.20 2007
113 Moldova 2.20 2012
113 Peru 2.20 2019
117 Belgium 2.10 2014
118 Armenia 2.00 2016
118 Kazakhstan 2.00 2015
120 Czech Republic 1.70 2001
120 Turkey 1.70 2018
120 Mongolia 1.70 2018
123 Kyrgyz Republic 1.60 2018
123 St. Lucia 1.60 2012
125 Bulgaria 1.40 2014
126 Bosnia and Herzegovina 1.30 2012
126 Uruguay 1.30 2018
126 Tunisia 1.30 2018
129 Tuvalu 1.20 2007
129 Paraguay 1.20 2016
129 Albania 1.20 2017
132 North Macedonia 1.10 2019
133 Belarus 1.00 2005
134 Argentina 0.80 2019
135 Netherlands 0.70 2009
136 Korea 0.60 2003
136 Portugal 0.60 2016
136 Estonia 0.60 2014
136 Poland 0.60 2011
140 Tonga 0.50 2019
141 Serbia 0.40 2019
141 Chile 0.40 2014
143 United States 0.30 2018
144 Germany 0.20 2016
144 Greece 0.20 2003

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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