With the percentage of wireless-only households in the country topping 40% and wireless becoming the mode of contact preferred by the majority of the U.S. population, cell phone samples absolutely need to be included in dual frame samples in order to reach certain demographic segments. Unfortunately, with no source similar to landline white pages available, researchers using cell phone samples have had no choice but to use randomly generated lists with no accurate geographic or demographic information available for either selection or post-append. A number of compilers have begun building databases of cell phone numbers that include such information as name and address which then enables appending of low-level geographic and demographic selects and appends. We have seen studies in the recent past showing that the data included in these lists was very limited and potentially inaccurate. The expectation is that accuracy and coverage should improve over time, but has this happened? Our research evaluates the current status of appending low-level geography, like zip code and census tract and block group codes, to a randomly generated cell phone sample. Do current data sources improve our ability to predict a respondent’s location? In addition, we examine the helpfulness of demographic appends like age and ethnicity for either targeting of a specific population for surveying or weighting results. Our hope is that the information available, including the availability of full addresses, has improved over time, and will continue to improve until research utilizing cell phone samples becomes much more cost efficient and effective.