Computer-implemented methods and systems for sourcing hours of operation for a business or other location entity can include receiving a request to update hours of operation. A number of mobile devices present at the location entity during one or more periods of time can be determined based at least in part on a collection of time-stamped mobile device location data that identifies mobile devices associated with discrete users present at the location entity. The number of mobile devices and initial operating hours for the location entity can be provided as input to a statistical model (e.g., neural network, support-vector machine (SVM) or logistic regression model). An output of the model can indicate a likelihood that operating hours for the location entity have changed relative to the initial operating hours. The operating hours for the location entity can then be updated based at least in part on the model output.