This dataset, containing 171 rows and 150 columns, presents the results of the quantitative baseline study conducted in the pilot urban and peri-urban areas of Dukem Town, from January 20, 2021 to February 20, 2021, to establish baseline data for comparison to support the program impact measurement as part of future project evaluation and to guide a realistic and feasible target setting for the selected performance indicators. A household survey was administered to a representative sample of 171 households (out of the 1,500 targeted households) in Dukem town to collect quantitative data with a questionnaire length of an average of 50 minutes. All personally identifiable information (e.g., GIS data) was removed from the dataset to protect the personal information of survey respondents. The Feed the Future Ethiopia Land Governance Activity (LGA) is a five-year project funded by USAID, following three successfully implemented land governance projects it supported during 2005 – 2018, i.e. (i) Ethiopia Land Tenure Administration Project (ELTAP) 2005- 2008; Ethiopia Land Administration Project (ELAP) 2008-2013, and Land Administration to Nurture Development (LAND) 2013-2018.

This dataset contains information about the household’s economic makeup and decision making. The table can be combined with other datasets in this data asset using the 'hhid' column. The purpose of collecting these data was to examine farm expansion and labor markets in rural Tanzania. Data were collected in 8 rural districts of Tanzania: Mvomero, Kilombero, Njombe, Kiteto, Magu, Moshi Rural, Mkuranga and Liwale. The data were collected through the Feed the Future Innovation Lab for Food Security Policy (FSP).

This dataset contains information about field plowing and harrowing costs. The table can be combined with other datasets in this data asset using the 'hhid' column. The purpose of collecting these data was to examine farm expansion and labor markets in rural Tanzania. Data were collected in 8 rural districts of Tanzania: Mvomero, Kilombero, Njombe, Kiteto, Magu, Moshi Rural, Mkuranga and Liwale. The data were collected through the Feed the Future Innovation Lab for Food Security Policy (FSP).

This table contains conversions for fertilizer prices. The table can be combined with other datasets in this data asset using the 'ferttype' column. The purpose of collecting these data was to examine farm expansion and labor markets in rural Tanzania. Data were collected in 8 rural districts of Tanzania: Mvomero, Kilombero, Njombe, Kiteto, Magu, Moshi Rural, Mkuranga and Liwale. The data were collected through the Feed the Future Innovation Lab for Food Security Policy (FSP).