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    Minority Data

New York City Community Health Survey, 2008 (ICPSR 27364)

Principal Investigator(s):
New York City Department of Health and Mental Hygiene

Version V1

This data collection has been deaccessioned; it is no longer distributed by ICPSR.

Additional information may be available in Collection Notes.

ICPSR created a unique sequential record identifier variable named CASEID for use with online analysis.

The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the New York City Department of Health and Mental Hygiene (DOHMH). The CHS conducted in 2008 collected information from 7,554 New York adult residents aged 18 years and older from all 5 boroughs of New York City -- Manhattan, Brooklyn, Queens, Bronx, and Staten Island. All data collected are self-report. Data are available at the level of 33 different neighborhoods, defined by ZIP code. The survey is conducted to inform health program decisions, to increase the understanding of the relationship between health behavior and health status, and to support health policy positions. Respondents were asked about their physical activity, body weight, general health, and whether they had ever had a flu shot. Multiple questions addressed respondents' smoking habits, including their current smoking status, where their last cigarette was purchased, whether they were heavy smokers, whether they tried to stop smoking for a period of time, and what, if any, aids did they use to for smoking cessation. Additional information was collected on respondents' colonoscopy, mammogram, and pap smear screenings, hypertension, cholesterol, asthma, diabetes, and depression diagnosis. Information was also collected from those diagnosed on whether they were taking any medication to control their cholesterol and depression. Other topics covered included whether respondents take aspirin everyday, respondents' sexual identity, history and contraception preference, whether they had ever been tested for HIV, respondents' alcohol consumption, and whether they had ever experienced domestic violence and sexual assault. Weights were constructed at the UHF-level to allow the sample to provide neighborhood-level estimations of both individual adults and of households in New York City. The data contains a weight variable (WT9) that should be used in analyzing the data. Demographic variables include gender, age, marital status, employment status, race, poverty level, income, and education level.

ZIP code aggregations called UHFs


ICPSR created a unique sequential record identifier variable named CASEID for use with online analysis.

New York City households were sampled randomly using a list-assisted random-digit dialing sample frame. In households with more than one adult, one adult was randomly selected to be interviewed.

The 2008 CHS was a landline telephone survey of 7,554 randomly selected adults aged 18 or older living in private (noninstitutional) households in New York City. Households were contacted using random-digit dialing sample and data was collected by interviewers using a questionnaire programmed into a computer-assisted telephone interviewing system. Surveys were conducted in English, Spanish, Mandarin Chinese, Greek, Yiddish, Polish, Haitian Creole, Korean, and Russian. All data collected were self-reported.


survey data

computer-assisted telephone interview (CATI)

Response Rate (AAPOR #3): 33.3 percent. Overall Cooperation Rate (AAPOR #3): 80.7 percent.



2010-11-10 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Performed consistency checks.
  • Created variable labels and/or value labels.
  • Created online analysis version with question text.
  • Performed recodes and/or calculated derived variables.
  • Checked for undocumented or out-of-range codes.

2016-12-07 Internal records were updated.

The data contain a weight variable (WT9) that should be used in analyzing the data. The weight consists of an adjustment for the probability of selection (number of adults in each household/number of residential telephone lines), as well as a post-stratification weight. The post-stratification weights are created by weighting each record up to the population of the UHF neighborhood, while taking into account the respondent's age, gender, and race.