The dataset was created with the intent to understand the influence of the neighborhood infrastructure on the SWB of residents. This one-of-its kind dataset includes measures of both affective and cognitive SWB collected from residents living in diverse urban settings which allows for a comprehensive analysis of the neighborhood infrastructure determinants of SWB. The use of a smart phone application to collect affective SWB information allows for a level of granularity in the data that is currently not present in other datasets. Drawing from multiple disciplines, the data also includes numerous individual level variables such as personality and family structure, which are critical to SWB but not commonly incorporated in studies looking at the influence of neighborhood infrastructure on the SWB.

To include varied contexts of neighborhood infrastructure, data was collected from six diverse neighborhoods (Figure. 1) in the Twin Cities Metro area between October 17, 2016 to October 25, 2017. Data collection involved the use of population sampling. The sample population was first defined (residents of neighborhoods with varied infrastructure), then a sampling frame was constructed (neighborhood typology and selection) and finally, a probability sampling strategy was used (random sampling of participants). The final sample consists of 398 respondents. The dataset has three primary components: 1. Paper survey data - Entry and exit surveys were used to collect information on: resident’s cognitive SWB; socio-demographic, socio-economic, and personality variables; home and neighborhood attributes satisfaction variables. Paper survey data was collected from 398 respondents. 2. DaynamicaTM smartphone data - 366 of the 398 paper survey participants used the smart phone application for a period of seven consecutive days and provided episode level affective SWB data. The application tracked and automatically broke down the participants’ day into a series of trips and activities, for which they provided additional information (e.g., who was with them, satisfaction with the environment, affective response, etc.). The data contains information on 24,892 activity and trip episodes. 3. Activity location data: GIS location data (de-identified to the block level) for each activity episode included in the DaynamicaTM smartphone data.