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Table 1 The numbers of surveys, children, oedematous children and percent of subjects flagged using either WHO or SMART flags (excluding oedema), by country

From: Change in quality of malnutrition surveys between 1986 and 2015

Region Country Surveys # Subjects # Oedema % Weight-for-age Height-for-age Weight-for-height MUAC-for-age MUAC-for-Height
WHO SMART WHO SMART WHO SMART WHO SMART WHO SMART
Northern Asia Afghanistan 55 47,079 0.17 0.10 1.22 0.84 4.15 0.09 1.56 0.03 0.63 0.01 0.41
Europe Albania 1 906 0.00 0.00 1.32 0.33 5.96 0.00 1.43 0.00 0.22 0.00 0.11
Middle Africa Angola 45 38,377 0.77 0.03 1.30 0.86 4.95 0.06 1.39 0.03 0.98 0.01 0.89
South Asia Bangladesh 30 18,407 0.10 0.02 0.39 0.33 1.79 0.01 0.48 0.01 0.11 0.01 0.10
West Africa Benin 7 7897 0.06 0.00 0.72 0.18 2.15 0.00 0.76 0.00 0.56 0.00 0.29
West Africa Burkina Faso 67 41,544 0.11 0.02 0.57 0.11 1.44 0.02 0.60 0.01 0.36 0.01 0.24
East Africa Burundi 32 21,095 1.37 0.09 1.27 1.12 4.04 0.08 1.20 0.02 0.94 0.00 0.68
Middle Africa Cameroon 9 6034 0.17 0.03 1.18 0.46 3.88 0.08 1.36 0.00 0.60 0.00 0.38
Middle Africa CAR 49 37,031 0.59 0.01 1.06 0.32 3.52 0.03 0.97 0.01 0.74 0.01 0.57
Middle Africa Congo-B 1 878 0.46 0.00 0.80 0.00 2.96 0.00 0.91 0.00 0.23 0.00 0.11
Middle Africa DRC 208 183,478 1.11 0.05 0.79 0.59 2.40 0.04 0.87 0.01 0.79 0.01 0.70
East Africa Eritrea 2 1628 0.31 0.00 1.29 0.61 3.93 0.25 1.84 0.00 0.12 0.00 0.06
East Africa Ethiopia 73 64,459 0.23 0.02 0.61 0.23 2.74 0.02 0.67 0.01 0.42 0.00 0.36
West Africa Gambia 8 6792 0.04 0.01 0.66 0.13 1.62 0.06 0.81 0.00 0.28 0.01 0.16
Latin America Guatemala 2 1430 0.14 0.21 2.03 1.33 3.99 0.42 1.96 0.00 1.47 0.00 0.98
West Africa Guinea 17 12,922 0.20 0.02 1.19 0.46 3.10 0.06 1.52 0.02 0.75 0.02 0.58
West Africa Guinea Bissau 4 2440 0.08 0.04 1.39 0.61 3.16 0.08 0.78 0.00 0.49 0.00 0.33
Caribbean Haiti 45 36,100 0.41 0.02 1.30 0.39 3.63 0.04 0.89 0.02 0.76 0.01 0.51
South Asia India 9 5712 0.16 0.23 1.09 1.17 4.11 0.02 0.88 0.00 0.47 0.00 0.26
South Asia Indonesia 1 394 0.00 0.00 1.02 0.51 5.33 0.00 4.57 0.00 1.52 0.25 1.52
West Africa Ivory Coast 6 7711 0.74 0.06 1.19 0.43 3.64 0.08 1.23 0.00 0.93 0.00 0.74
East Africa Kenya 49 33,690 0.30 0.00 0.35 0.19 2.27 0.02 0.51 0.01 0.29 0.00 0.25
Europe Kosovar 1 921 0.00 0.00 1.41 0.22 2.61 0.11 0.76 0.00 0.33 0.00 0.22
West Africa Liberia 76 51,361 0.58 0.06 1.51 0.56 4.71 0.08 1.44 0.02 0.83 0.01 0.68
Europe Macedonia 1 863 0.00 0.00 1.51 0.70 5.91 0.23 1.85 0.12 0.70 0.12 0.60
East Africa Madagascar 6 4145 0.43 0.02 1.18 0.63 3.93 0.10 0.92 0.02 0.84 0.00 0.51
East Africa Malawi 34 20,551 1.12 0.07 1.92 1.22 4.82 0.08 1.95 0.02 1.11 0.01 1.00
Sahel Mali 15 20,060 0.26 0.02 0.86 0.52 4.52 0.16 1.50 0.02 0.47 0.02 0.38
Sahel Mauritania 51 40,772 0.09 0.03 0.47 0.21 1.85 0.05 0.58 0.00 0.36 0.00 0.29
East Africa Mozambique 14 3922 2.32 0.05 2.27 0.82 8.36 0.26 1.56 0.05 1.27 0.00 0.98
South Asia Myanmar 15 11,233 0.17 0.06 0.76 0.66 2.73 0.05 0.56 0.04 0.48 0.00 0.38
South Asia Nepal 7 4351 0.44 0.09 0.41 0.97 2.39 0.05 0.69 0.02 0.23 0.00 0.21
Latin America Nicaragua 2 969 0.83 0.00 1.55 0.41 2.27 0.00 0.62 0.00 0.83 0.00 0.42
Sahel Niger 38 47,284 0.09 0.06 0.82 0.51 3.37 0.06 0.87 0.01 0.45 0.01 0.34
West Africa Nigeria 45 30,325 0.11 0.04 1.13 0.41 3.43 0.07 1.54 0.02 0.71 0.00 0.57
South Asia Pakistan 27 24,807 0.13 0.07 0.94 0.50 2.73 0.06 0.97 0.01 0.64 0.00 0.50
South Asia Philippians 7 3937 0.00 0.03 0.86 0.25 2.90 0.08 0.71 0.00 0.30 0.00 0.20
East Africa Rwanda 22 12,204 1.26 0.02 1.23 0.57 4.13 0.09 1.52 0.06 0.79 0.04 0.65
Sahel Senegal 39 30,531 0.09 0.01 0.60 0.18 2.60 0.02 0.51 0.01 0.32 0.01 0.22
West Africa Sierra Leone 71 57,717 0.41 0.04 1.49 0.45 4.32 0.08 1.52 0.07 1.20 0.02 0.99
Sahel Somalia 102 78,271 0.78 0.03 1.14 0.46 4.63 0.07 2.56 0.03 0.99 0.02 0.87
Sahel South Sudan 198 142,796 0.39 0.03 1.23 0.44 5.04 0.14 1.54 0.03 0.70 0.02 0.56
South Asia Sri Lanka 5 4599 0.02 0.00 0.33 0.07 1.28 0.00 0.37 0.02 0.28 0.00 0.20
Sahel Sudan 86 72,672 0.15 0.04 0.84 0.29 3.67 0.08 1.01 0.00 0.39 0.00 0.32
Middle East Syria 1 534 0.19 0.00 0.94 0.75 4.32 0.38 1.69 0.00 0.75 0.00 0.38
Northern Asia Tajikistan 5 4643 2.30 0.11 2.39 0.80 6.14 0.30 3.79 0.04 1.31 0.00 1.08
East Africa Tanzania 13 6890 1.38 0.06 1.12 0.70 4.12 0.17 1.65 0.06 1.00 0.06 0.96
Sahel Chad 128 91,539 0.29 0.03 0.71 0.18 2.87 0.03 0.85 0.02 0.39 0.00 0.30
South Asia Thailand 2 1813 0.00 0.06 0.77 0.66 2.70 0.06 0.77 0.00 0.11 0.00 0.06
South Asia Timor 3 1690 0.00 0.06 0.59 0.65 3.96 0.18 0.83 0.00 0.53 0.00 0.30
West Africa Togo 14 6550 0.56 0.02 0.61 0.15 2.15 0.05 0.52 0.00 0.43 0.00 0.23
East Africa Uganda 83 52,255 0.33 0.03 1.10 0.35 3.41 0.05 1.11 0.01 0.64 0.00 0.52
Latin America Venezuela 3 1776 0.17 0.06 0.56 0.06 1.24 0.06 0.23 0.00 0.11 0.00 0.00
East Africa Zambia 6 3496 0.00 0.00 1.20 0.51 4.66 0.00 1.23 0.00 0.74 0.00 0.49
East Africa Zimbabwe 3 1361 0.00 0.00 1.18 0.51 5.00 0.00 1.91 0.00 0.73 0.00 0.74
Total Total 1843 1412,842 0.48 0.04 0.98 0.45 3.49 0.07 1.16 0.02 0.66 0.01 0.53
  1. The number of subjects column is the number of subjects remaining after exclusion of oedema and missing data. WHO flags = all biologically possible data. SMART flags = data that is more than 3.100 SD from the mean of the survey. DRC = Democratic Republic of Congo; CAR = Central African Republic; Congo-B = Congo Brazzaville