DOI: 10.3886/icpsr27361
title: New York City Community Health Survey, 2005
title: Archival Version

description: 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 2005 collected information from 9,816 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 participation, body weight, general health, and whether they had ever had a flu shot. Multiple questions addressed respondents' smoking habits, including the age at which they began smoking, the number of cigarettes they smoked per day, where their last cigarette came from, whether they stopped smoking for a period of time, and their current smoking status. Additional information was collected on respondents' colonoscopy, mammogram and pap smear screenings, hypertension diagnosis,  and whether respondents' had their cholesterol checked. Other topics covered included respondents' sexual history and contraception preference, whether they had ever been tested for HIV, respondents' alcohol consumption, and whether they had ever experienced domestic violence. 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 contain a weight variable (WT6) that should be used in analyzing the data. Demographic variables include gender, age, marital status, employment status, race, poverty level, income, and education level.
description: The data contain a weight variable (WT6) 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.
description: 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..
description: Response Rates: 
					Response Rate (AAPOR #3): 38.7 percent. Overall Cooperation Rate (AAPOR #3): 79.3 percent.
description: Datasets: 
					
						DS1: New York City Community Health Survey, 2005
description: computer-assisted telephone interview (CATI)
					ICPSR created a unique sequential record identifier variable named CASEID for use with online analysis.
description: The 2005 CHS was a landline telephone survey of 9,816 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.
				   		Smallest Geographic Unit: ZIP code aggregations called UHFs
description: 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.