Name: Zambia - Standardised Expanded Nutrition Survey (Mayukwayukwa and Meheba), 2017
Creator: World Bank Group

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Zambia

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes in the refugee populations. UNHCR in collaboration with WFP and UNICEF and its project partners, Ministry of Community Development Mother and Child Health, MOH and MHA/COR, organized and conducted the nutrition survey in the two refugee settlements of Meheba and Mayukwayukwa refugee settlements from 26 November to 15 December 2017. This was the third SENS in these two settlements, previous ones conducted in 2009 and 2013. The main objective of the SENS was to determine the overall nutrition and health status of the refugee population and establish workable recommendations for appropriate interventions. The survey includes one household-level modules and three individual-level modules (infants, children under five and women). See further details in the report.

English

Producer

UNHCR

Principal Investigator

UNICEF

MHA/COR

Resource Provider

MCDMCH

UNHCR Global Data Service Statistics and Demographics Section, UNHCR

Point of Contact

Development Data Group, World Bank

Zambia - Standardised Expanded Nutrition Survey (Mayukwayukwa and Meheba), 2017

Series Name: Other Household Survey [hh/oth] Series Info: This is the third SENS in Zambia refugee settlements. Previous surveys took place in 2009 and 2013. Data Processing Notes: The scope includes: - food security - water, sanitation and hygiene - mosquito net coverage - nutrition of women 15-49 yrs and children under 5

Version 1 (December 2022). This version is identical to UNHCR DDI ID: UNHCR_ZMB_2017_SENS_v2.1, except the following edits were made: -Document ID and Survey ID, - Minor formatting corrections - Specified the archive where study is originally stored

Zambia - Standardised Expanded Nutrition Survey (Mayukwayukwa and Meheba), 2017

Metadata