Dataset on child nutritional status and its socioeconomic determinants in Nonno District, Ethiopia

This data article presents child nutritional status and its socioeconomic determinants in Ethiopia with special reference to Nonno District, Oromia Region. As recommended by WHO (2006) [1], the nutritional status in this data article is based on three indices (height-for-age, weight-for-height and weight-for-age) for the children in this survey. The data was obtained from four hundred eight (408) households selected by using simple random sampling procedure. The data article shows that the overall prevalence of child malnutrition in the community was high with 46.3% of the children stunted, 41.9% underweight and 11.5% wasted. Moreover, the dataset presents family size, parental education, wealth status of the household, preceding birth interval, antenatal care (ANC) attendance, disease and sanitation are vital determinants of child malnutrition in the area.


a b s t r a c t
This data article presents child nutritional status and its socioeconomic determinants in Ethiopia with special reference to Nonno District, Oromia Region. As recommended by WHO (2006) [1], the nutritional status in this data article is based on three indices (height-for-age, weight-for-height and weight-for-age) for the children in this survey. The data was obtained from four hundred eight (408) households selected by using simple random sampling procedure. The data article shows that the overall prevalence of child malnutrition in the community was high with 46.3% of the children stunted, 41.9% underweight and 11.5% wasted. Moreover, the dataset presents family size, parental education, wealth status of the household, preceding birth interval, antenatal care (ANC) attendance, disease and sanitation are vital determinants of child malnutrition in the area.
& 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).  Anthropometric data was exported to ENA for SMART 2011 software and converted into Z-scores of the indices: height-for-age, weight-for-height and weight-for-age. Socioeconomic data was analyzed by using to SPSS Version 20 software. Data source location

Type of data
Data accessibility The data is with this article

Value of the data
The data presented in this article gives a general picture on the socioeconomic and child nutritional status of the rural community in Ethiopia.
The data provides information on the socioeconomic determinants of child malnutrition in Ethiopia with special reference to Nonno district.
The data are important for interventions related to improve child nutritional status in Ethiopia. The data are important for planning for socioeconomic development of the rural households in Ethiopia.
The data can be used by researchers and academicians for further researches and for references.

Data
This data article presents the nutritional status of children and the socioeconomic determinants of child nutritional status in Nonno district, Ethiopia. Table 1 presents demographic and socioeconomic characteristics while Table 2 portrays housing and hygienic conditions of the surveyed households. Tables 3 and 4 present data on stunting, underweight and wasting. Tables 5-8 present data on the association between the determinant variables and stunting, underweight and wasting.

Methods and materials
Simple random sampling technique was employed to select sample households and children for socioeconomic, demographic, health, environmental and anthropometric data. Only one child was selected from one sample household incase of the presence of more than one child (6-59 months) within a household. Only one under-five child was selected by using simple random sampling when there were more than one under-five children in the household. In case there was no under-five child in a selected household, the next neighboring household was considered. Severely ill child/children was/were excluded and only households having under-five children were included. Socioeconomic data was collected through household survey while anthropometric measurement involved the measurement of weight and height of the under-five children by using the procedure recommended Table 1 Demographic and socioeconomic characteristics of the households.

Characteristics
Number     position). For children of age over 24 months, height was measured vertically (in a standing position). Two readings were taken and the average was recorded for accuracy. The data were coded and entered in to the computer using EPI info software, exported to ENA for SMART 2011 software and converted into Z-scores of the indices: height-for-age, weight-for-height and weight-for-age. Socioeconomic, demographic, health and environmental data were analyzed by using SPSS Version 20 Software.