4.15 MB - Food Security Clusters

South Sudan: How a new country can feed its peopleTable 4.2 – Under nutrition at individual and household levelStuntingHAZ < -2SDIndividual(%)Household(%)WastingWHZ < - 2SDIndividual(%)Household(%)UnderweightWAZ < - 2SDIndividual(%)Household(%)South Sudan 25.0 16.9 20.9 12.0 30.3 14.3Upper Nile 27.1 16.0 21.5 11.8 24.2 13.1Jonglei 27.8 15.9 31.2 17.5 29.3 14.8Unity 40.4 18.2 35.4 14.7 46.1 19.0Warrap 29.4 15.7 31.9 14.0 35.0 16.8Northern Bahr El Ghazal 27.6 20.1 26.7 19.4 29.7 22.5Western Bahr El Ghazal 26.9 16.8 16.4 9.8 22.3 13.3Lakes 35.4 18.8 27.9 12.3 29.9 13.9Western Equatoria 34.5 17.3 11.8 6.3 18.2 9.1Central Equatoria 31.1 12.1 11.0 4.9 17.0 6.7Eastern Equatoria 37.2 20.7 11.8 6.3 29.2 15.8Source: SHHS, 2010Figures of malnutrition need to be considered withcaution. Analyzing malnutrition in South Sudan isfraught with difficulty. The prevalence ofmalnutrition varies widely according to theindicator used (MUAC, weight/height etc.) andbecause there is such a wide range of bodytypes/shapes across the ethnic groups. For example,pastoralists, characterized by longer legs, tend tohave higher wasting prevalence (lower weight forheight) than stockier farmers.Figure 4.3 – State ranking according to householdnutrition prevalence.Northern Bahr El GhazalUnityJongleiWarrapLakesWhat’s more, many of the individual measurementstaken were flagged using WHO criteria as beingimplausible 10 . This raises questions about thereliability of the nutrition estimates. Householdprevalence of malnutrition is perhaps a more reliableindicator of the nutritional status across the country,but even these estimates need to be viewed withcaution. Figure 4.3 ranks the states according tohousehold nutrition prevalence.Eastern EquatoriaUpper NileWestern Bahr El GhazalWestern EquatoriaCentral EquatoriaSouth SudanSource: SHHS, 2010StuntingWastingUnderweight0 10 20 30 40 50 60 7010 For example in the states of Unity, Warrap and Lakes more than40% of individual measurements taken were flagged.29