At A Glance

Noteworthy Characteristics

  • Originally modeled after the National Behavioral Risk Factor Surveillance System (BRFSS).
  • Among the most robust sources of health data specific to a major metropolitan area.
  • Topics include general health status and mental health, health care access, cardiovascular health, diabetes, asthma, immunizations, nutrition and physical activity, smoking, HIV, sexual behavior, alcohol consumption, cancer screening, social determinants of health, and other health topics.
  • Includes a core group of demographics variables every year to facilitate weighting and comparisons among different groups of New Yorkers. Health estimates are available annually at the city, borough, and United Hospital Fund (UHF) neighborhood levels and available every two-years at the Community District (CD) level. CDs are the smallest level of local government with budgetary power.



To collect data about chronic diseases and behavioral risk factors from adults in New York City.

Target Population

Civilian, non-institutionalized adults ages 18 and older from all five boroughs of New York City (Manhattan, Brooklyn, Queens, Bronx, and Staten Island).


Began in 2002. Conducted annually. Most recent year conducted was 2019. Data collected via telephone with trained interviewers.


New York City Department of Health and Mental Hygiene, Division of Epidemiology, Bureau of Epidemiology Services.


Sample Design

Cross-sectional, stratified random sample. Learn more about the sampling design.

Source of Information

A computer-assisted telephone interviewing (CATI) system is used to collect the survey data.

Sample Size

Approximately 10,000 individuals.

Special Note(s)

The survey sampling methodology does not capture the following groups: Households with no telephone service and, before 2009, households that had only cell phone service. The CHS also excludes adults living in institutional group housing, such as college dormitories. Starting in 2009, adults living in households with only cell phone service were included in the survey.

Key Variables


Marital status
Employment status
Household poverty
Health status
Sexual orientation and Gender Identity for select years.


Fruit/vegetable consumption
Sugary drink consumption
Sexual orientation and Gender Identity for select years.

Physical Activity-Related

Active transportation
Physical activity/exercise
Bicycle use
Sugar-sweetened soda consumption


Daytime fatigue/sleepiness and/or alertness
Schedule-related sleep environment: Other
Sleep disordered breathing: Sleep position (back, side, etc.)
Sleep disorders: Sleep apnea
Sleep disturbances and quality: Subjective satisfaction
Sleep disturbances and quality: Other (list variable)
Sleep duration and quantity: Total sleep time during workdays/schooldays
Sleep duration and quantity: Total sleep time
Sleep-related substance use: Nicotine (e.g., smoking, juuling, vaping)
Sleep-related substance use: Other (alcohol, tranquilizer, pain medication, ecstasy)
Social sleep environment: Other (bed bugs)
Social sleep environment: Sleep location (e.g., living room)


Stair use


Zip code
High-risk neighborhood status


Blood cholesterol
Blood pressure
High-risk neighborhood status
Social Cohesion
Neighborhood Characteristics

Data Access and Cost

Data Availability

Obtain data by visiting the CHS website. Some variables such as gender identity, additional race/ethnicity variables, and geographic variables require a Data Use Agreement. Please contact:



Special Note(s)

Data also can be accessed from EpiQuery, a web-based interactive query tool.


Geocode Variable(s)

Borough, Zip code, , UHF, Community District available with a Data Use Agreement. Email

Existing Linkages

None found.

Selected Publications

Click here for a full list of publications.


Borrell LN, Menendez BS, Joseph SP. Racial/ethnic disparities on self-reported hypertension in New York City: examining disparities among Hispanic subgroups. Ethnicity & Disease 2011 Autumn;21(4):429-436.

Jack D, Neckerman K, Schwartz-Soicher O, Lovasi GS, Quinn J, Richards C, Bader M, Weiss C, Konty K, Arno P, Viola D, Kerker B, Rundle A. Socio-economic status, neighbourhood food environments and consumption of fruits and vegetables in New York City. Public Health Nutrition 2013;6:1-9.

Tabaei BP, Chamany S, Driver CR, Kerker B, Silver L. Incidence of self-reported diabetes in New York City, 2002, 2004, and 2008 . Preventing Chronic Disease 2012;9:E114.

Yaemsiri S, Olson EC, He K, Kerker BD. Food concern and its associations with obesity and diabetes among lower-income New Yorkers. Public Health Nutrition 2012;15(1):39-47.


Codebook, Questionnaire and additional information:

EpiQuery Interactive Health Data Tool:

Publications and Reports: