This paper explores the characteristics of respondents who said they were likely to disconnect their landline telephones and switch to using only cell phones; it also explores the use of such data to create a special weight to adjust for non-coverage bias in a random digit dialing (RDD) landline sampling frame. Data for this paper are based on questions asked as part of the combined 2005-2006 NYC Community Health Survey (CHS). The NYC CHS is an annual telephone health surveillance survey conducted by the New York City Department of Health and Mental Hygiene. The survey uses a RDD sampling frame to collect approximately 9,500 completed interviews each year. Overall, 10% of landline respondents answered they intended to use only cell phones in the next 12 months. Prospective drop-outs from landline telephone usage were more likely to be male, younger, Hispanic, and have fewer years of education and live in poverty. These respondents were also less likely to be insured, have a primary physician and have had a fl u shot, and more likely to have been diagnosed with depression and to have had an HIV test in the past 12 months. Many of these differences remain even after controlling for variables such as age, race/ethnicity and education. The findings from this study are similar to results from national studies such as the NHIS. Local data indicate that adjusting for cell phone only adults is important for accurate estimates in NYC and this paper will discuss how this question has the potential to be used in calculating future adjustments. Finally, how data from a future cell phone only sample survey will also be used to further evaluate the utility of adjustment weights based on the cell phone intention question will also be discussed.