Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=1,573, var=167) is the first of two datasets needed to calculate the WEAI-related measures. It contains Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).

Feed the Future Rwanda Interim Survey in the Zone of Influence: This dataset (n=998, vars=164) contains the analytical variables derived in the WEAI analysis.

Feed the Future Rwanda Interim Survey in the Zone of Influence: This dataset (n=998, var=162) is the first of two datasets needed to calculate the WEAI-related measures. It contains Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset is a household-level file with records for each sampled household with a completed interview (n=1837, variables=102).

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset is the household roster file with one record per household member captured in Module C of the questionnaire (n=8,555, vars=35).

Feed the Future Uganda Interim Survey in the Zone of Infuence: This dataset (n=664, var=163) is the first of two datasets needed to calculate the WEAI-related measures. It contains Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This dataset (n=1,573, vars=169) contains the analytical variables derived in the WEAI analysis.

Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This dataset (n=14,055, var=11) is the first of two datasets needed to calculate the WEAI-related measures. It contains Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).

Feed the Future monitors its performance in part by periodic assessments of a number of standardized indicators. These indicators reflect data collected through population-based surveys (PBS) in the geographic areas targeted by Feed the Future interventions, known as the Feed the Future Zones of Influence (ZOI). The northern Kenya ZOI is comprised of five counties: Marsabit, Garissa, Isiolo, Wajir, and Turkana. Of these, only three counties (Marsabit, Isiolo, and Turkana) were included in the baseline survey. Garissa and Wajir were inaccessible during the baseline because of security issues. Feed the Future REGAL-IR programming covers all five counties of the ZOI, while REGAL-AG covers Marsabit and Isiolo. Differences in the values of indicators can be compared by the intensity of the program (REGAL-IR only versus REGAL-IR plus REGAL-AG) in the REGAL IE report. Kimetrica, Westat's subcontractor in northern Kenya, interviewed eligible respondents in a total of 1,837 households in nine counties (Garissa, Isiolo, Marsabit, Turkana, Wajir, Baringo, Mandera, Samburu, and Tana River). Data collection took place from 14 May to 13 June 2015. The sample is large enough to measure differences among intensity levels of REGAL and humanitarian assistance (HA) programming for the IE, as well as provide point estimates for Feed the Future indicators at the ZOI level. This interim assessment uses data from 1,193 households in the five counties of the ZOI (Garissa, Isiolo, Marsabit, Turkana, and Wajir). The report of the survey including the complete questionnaire can be found in the reference PA00MNZB.pdf. Versions of the dataset in SAS, SPSS and STATA are available on request by sending an email to opendata@usaid.gov.

Feed the Future Zambia Interim Survey in the Zone of Infuence: This dataset (n=739, var=163) is the first of two datasets needed to calculate the WEAI-related measures. It contains Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).