cable, satellite television, or internet service. Utilities are included in FMRs whether the obligation of payment is under the tenant or the landlord. FMRs can be found using HUD's Database. Small Area Fair Market Rents The Small Area Fair Market Rents Program (SAFMRP) was officially implemented by HUD in January 2017. This system is an update to the system HUD uses to calculate Fair Market Rents (FMRs) in metropolitan areas. The purpose is to examine metropolitan area FMRs by ZIP code, as opposed to in total. HUD stated that this program is aimed to allow voucher recipients to move into higher opportunity areas and reduce the concentration of voucher recipients in a given metropolitan area. While the program was originally intended to be mandatory for several metropolitan areas immediately, the requirement for the use of SAFRMs was delayed to October 1, 2019. SAFMRs can now be found through the HUD database. The implementation of this program follows a demonstration project coordinated by HUD in 2010. The project included the following Public Housing Authorities (PHAs): The Housing Authority of the County of Cook (IL), the City of Long Beach (CA) Housing Authority, the Chattanooga (TN) Housing Authority, the Town of Mamaroneck (NY) Housing Authority, and the Housing Authority of Laredo (TX). An early report states that the effects of this program need to be analyzed over a long period of time before determining results. Vincent Reina, Arthur Acolin, and Raphael W. Bostic published an early examination of the new SAFMRP in 2019. This study finds varied results in the SAFMRP based on different metropolitan areas. Two areas of note are the highest performing city in the study and the lowest, Dallas, TX, and Chattanooga, TN, respectively. The authors argue that Dallas performed well with the SAFMRP because the city was required by court order to implement the program, and the program has been in place for longer than all other cities in the study. The authors state that the benefits of the SAFMRP change over time and analysis of the program must include a time series analysis for all effects. The authors also explain why Chattanooga, TN may have performed the lowest in the study. Two reasons include the fact that most rental units were already inaccessible areas, and most residential areas in Chattanooga are low opportunity, therefore voucher recipients did not have increased choice with the implementation of the program.