Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Non-Food Expenditures Over Past Three Months

공공데이터포털

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=69,540, vars=17) contains data from sub-Module E4: Non-Food Expenditures Over Past Three Months. Each household with data for non-food expenditures over the past three months has multiple records (for the 38 non-food items in sub-Module E4). (69,540 records divided by 38 non-food items = 1,830 Module E households with sub-Module E4 data.)

Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Non-Food Expenditures Over Past One Month

공공데이터포털

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=53,070, vars=17) contains data from sub-Module E3: Non-Food Expenditures Over Past One Month. Each household with data for non-food expenditures over the past month has multiple records (for the 29 non-food items in sub-Module E3). (53,070 records divided by 29 non-food items = 1,830 Module E households with sub-Module E3 data.)

Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Non-Food Expenditures Over the Past 7 Days

공공데이터포털

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=18,300, vars=17) contains variables from sub-Module E2, Non-Food Expenditures over Past 7 Days. Each household with data for non-food expenditurs over the past week has multiple records (for the 10 non-food items in sub-Module E2) (18,300 records divided by 10 non-food items=1,830 Module E households with sub-Module E2 data.)

Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Food Consumption-Past 7 Days

공공데이터포털

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=243,789, vars=28) contains variables from Module E1, Food Consumption Over Past 7 Days. Each household with food consumption data has multiple records (for the 133 food items in sub-Module E1). (243,789 records divided by 133 food items =1,833 Module E households with sub-Module E1 data.).

Feed the Future Northern Kenya Interim Survey in the Zone of Influence, Durable Goods Expenditures

공공데이터포털

Feed the Future Northern Kenya Interim Survey in the Zone of Influence: This dataset (n=69,540, vars=23) contains data from sub-Module E7: Durable Goods Expenditures. Each household with data for durable goods expenditures has multiple records (for the 38 durable goods in sub-Module E7). (69,540 records divided by 38 non-food items = 1,830 Module E households with sub-Module E7 data.)

Feed the Future Northern Kenya Zone of Influence Survey Baseline - Non-Food Expenditures Dataset

공공데이터포털

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=18,300, vars=17) contains variables from sub-Module E2, Non-Food Expenditures over Past 7 Days. Each household with data for non-food expenditurs over the past week has multiple records (for the 10 non-food items in sub-Module E2) (18,300 records divided by 10 non-food items=1,830 Module E households with sub-Module E2 data.)

Feed the Future Northern Kenya Zone of Influence Survey Baseline - Durable Goods Expenditures Dataset

공공데이터포털

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=69,540, vars=23) contains data from sub-Module E7: Durable Goods Expenditures. Each household with data for durable goods expenditures has multiple records (for the 38 durable goods in sub-Module E7). (69,540 records divided by 38 non-food items = 1,830 Module E households with sub-Module E7 data.)

Feed the Future Northern Kenya Zone of Influence Survey Baseline - Food Consumption Dataset

공공데이터포털

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=243,789, vars=28) contains variables from Module E1, Food Consumption Over Past 7 Days. Each household with food consumption data has multiple records (for the 133 food items in sub-Module E1). (243,789 records divided by 133 food items =1,833 Module E households with sub-Module E1 data.).

Feed the Future Northern Kenya Zone of Influence Survey Baseline - Housing Expenditures Dataset

공공데이터포털

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=3,662, vars=15) contain data from sub-Module E5 regarding non-food items that may or may not have been purchased (e.g., construction items such as wood poles and thatching grass). Each household with data for these construction items over the past 12 months has multiple records (for the two construction items in sub-Module E5). (3,662 records divided by 2 construction items = 1,831 Module E households with sub-Module E5 construction data.)

Feed the Future Malawi Interim Survey in the Zone of Infuence, Non-Food Expenditures Over Past Three Months

공공데이터포털

This dataset contains data from sub-Module E4: Non-Food Expenditures over Past Three Months. It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. Each household with data for non-food expenditures over the past three months has multiple records (for the 39 non-food items in sub-Module E4). (39,819 records ÷ 39 non-food items = 1,021 Module E households with sub-Module E4 data.) The unique identifiers in this long file are pbs_id + e401.