The dataset contains every sustained or not yet adjudicated violation citation from every full or special program inspection conducted up to three years prior to the most recent inspection for restaurants and college cafeterias in an active status on the RECORD DATE (date of the data pull). When an inspection results in more than one violation, values for associated fields are repeated for each additional violation record. Establishments are uniquely identified by their CAMIS (record ID) number. Keep in mind that thousands of restaurants start business and go out of business every year; only restaurants in an active status are included in the dataset. Records are also included for each restaurant that has applied for a permit but has not yet been inspected and for inspections resulting in no violations. Establishments with inspection date of 1/1/1900 are new establishments that have not yet received an inspection. Restaurants that received no violations are represented by a single row and coded as having no violations using the ACTION field. Because this dataset is compiled from several large administrative data systems, it contains some illogical values that could be a result of data entry or transfer errors. Data may also be missing. This dataset and the information on the Health Department’s Restaurant Grading website come from the same data source. The Health Department’s Restaurant Grading website is here: http://www1.nyc.gov/site/doh/services/restaurant-grades.page See the data dictionary file in the Attachments section of the OpenData website for a summary of data fields and allowable values.

This dataset provides restaurant inspections, violations, grades and adjudication information

This dataset includes cooling tower regulatory inspection results from the NYC Health Department’s Office of Building Water Systems Oversight (BWSO).

The dataset includes results from two inspection types: cycle or non-cycle. Cycle inspections are regular compliance inspections conducted by BWSO to confirm adherence with cooling tower regulations. Non-cycle may include follow-up inspections or other regulatory inspections to evaluate public health risks.Cooling tower systems that are compliant at the time of inspection have the inspection date with blank values for the violation and citation columns. Building owners that are subject to financial penalties for a cited violation receive a notice of violation with a summons number, as shown in the dataset. The Office of Administrative Trial and Hearings (OATH) adjudicates the summons.

Hearing status and adjudication result are shown separately in the Cooling Tower Hearings dataset (a subset of the OATH Hearings Division Case Status dataset). The summons number in this dataset corresponds with the ticket number field in the Cooling Towers Hearings dataset.

This is an official DOHMH dataset. Creating derivative/community datasets based on this dataset is allowed so long as it is done in a manner that is not misleading and does not imply endorsement of such datasets by DOHMH.

NYC DOHMH tests consumer products collected during investigations of lead poisonings and store surveys, for lead. Certain consumer products are also tested for other metals such as arsenic, cadmium and mercury. This dataset contains the laboratory results for the consumer products that are tested. For more information on hazardous consumer products, visit nyc.gov/hazardous products.

The dataset contains current inspection data for cafeterias permitted in public, private, and parochial schools in NYC. All school cafeterias are required to be in compliance with NYS and NYC Food Safety Regulations, found in New York City Health Code Article 81. School cafeteria inspections are conducted at least annually to ensure compliance with food safety regulations. This dataset includes information obtained as part of the permitting process and data collected during inspections. This data includes inspection results for active school cafeterias for the last three years. Data for cafeterias that have ceased operations and any violations cited during the inspection that were dismissed during adjudication are excluded from this dataset

This is an official NYC Health Department dataset. The Health Department does not endorse datasets using these data that may be created by others. The dataset contains the drinking water tank oversight activity and compliance results for NYC buildings that have water tanks. The buildings listed have been reported to the NYC Health Department through the NYC Drinking Water Tank Inspection Reporting Site or were identified by the NYC Health Department during field observations. This dataset includes self-reported annual inspections (submitted by a certified water tank inspector on behalf of the building owner), NYC Health Department inspections, NYC Health Department audits, and other drinking water tank regulatory activity results.

Summary results from NYC Community Health Survey 2010-2016: adults ages 18 years and older Source: NYC Community Health Survey (CHS) 2010-16. The Community Health Survey (CHS) includes self-reported data from adults, years 18 and older. CHS has included adults with landline phones since 2002 and, starting in 2009, also has included adults who can be reached by cell-phone. Starting in 2011, CHS weighting methods were updated to use Census 2010 and additional demographic characteristics (http://www1.nyc.gov/assets/doh/downloads/pdf/epi/epiresearch-chsmethods.pdf ).

Data are age-adjusted to the US 2000 Standard Population.
Data prepared by Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene

The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the DOHMH, Division of Epidemiology, Bureau of Epidemiology Services. CHS provides robust data on the health of New Yorkers, including neighborhood, borough, and citywide estimates on a broad range of chronic diseases and behavioral risk factors. The data are analyzed and disseminated to influence health program decisions, and increase the understanding of the relationship between health behavior and health status. For more information see EpiQuery, https://a816-healthpsi.nyc.gov/epiquery/CHS/CHSXIndex.html

"TARGET POPULATION The target population of the CHS includes non-institutionalized adults aged 18 and older who live in a household with a landline telephone in New York City (the five borough area). Starting in 2009, adults living in households with only cell phones have also been included in the survey.

HEALTH TOPICS Most years the CHS includes approximately 125 questions, covering the following health topics: 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 and other health topics. A core group of demographics variables are included every year to facilitate weighting and comparisons among different groups of New Yorkers.

SAMPLING The CHS uses a stratified random sample to produce neighborhood and citywide estimates. Neighborhoods are defined using the United Hospital Fund's (UHF) neighborhood designation, which assigns neighborhood based on the ZIP code of the respondent. New ZIP codes have been added since the UHF's were originally defined. There are 42 UHF neighborhoods in NYC. However, to avoid small sample sizes for CHS estimates, UHF estimates are generally collapsed into 34 UHFs/groups.

Starting in 2009, a second sample consisting of cell-only households with New York City exchanges was added. This design is non-overlapping because in the cell-only sample, adults living in households with landline telephones were screened out.

A computer-assisted telephone interviewing (CATI) system is used to collect the survey data. The CHS sampling frame was constructed with a list of telephone numbers provided by a commercial vendor. Upon agreement to participate in the survey, one adult is randomly selected from the household to complete the interview.

Interviewing is conducted in a variety of languages. Every year, the questionnaire is translated from English into Spanish, Russian, and Chinese. Some years, live translation services are provided by Language Line (including Hindi, Arabic, Farsi, and Haitian Creole). Typically, data collection begins in March of the study year and ends in December. The average length of the survey is 25 minutes.

LIMITATIONS The survey sampling methodology does not capture the following groups: households without any telephone service and (prior to 2009) households that only have a cell phone. The CHS also excludes adults living in institutional group housing, such as college dormitories.

"

The total number of City-vehicle operated vehicles that are managed by DOHMH that were involved in collisions involving injury or property damage for the citywide fleet reported in the citywide collision reporting system (CRASH). New York State MV-104 reports are required whenever a collision occurs involving death, or other personal injury, or property damage over $1,000. Collisions are tracked and reported regardless of whether or not the driver was at fault and whether or not the vehicle was in motion. Collisions involving City vehicles occur whenever a City vehicle strikes (or is struck by) a second vehicle, pedestrian, bicyclist or fixed object

A permit is required to install, operate or construct any indoor or outdoor bathing establishment with a pool in New York City. This permit may also include saunas, steam rooms, or spray grounds that are at the same location as the pool(s). This permit applies to bathing establishments owned or operated by city agencies, commercial interests or private entities including, but not limited to, public or private schools, corporations, hotels, motels, camps, apartment houses, condominiums, country clubs, gymnasia and health establishments. This dataset contains results of indoor and outdoor pool inspections.

Dataset contains information on rat inspections.

Rat Information Portal Data Release Notes April 20, 2015

The Rat Information Portal (RIP) is a web-based mapping application where users can view rat inspection data.

Data sources: NYC Department of Health and Mental Hygiene (DOHMH), Division of Environmental Health Pest Control Database

Notes on data limitations: Please note that if a property/taxlot does not appear in the file, that does not indicate an absence of rats - rather just that it has not been inspected. Similarly, neighborhoods with higher numbers properties with active rat signs may not actually have higher rat populations but simply have more inspections.

See our Data Disclaimer: http://www.nyc.gov/rats

Case counts of people newly reported with Chronic Hepatitis B and C. This surveillance data includes all confirmed and probable cases. NYC Heath Code §11.03(a) and §13.03(b) require that clinical laboratories electronically report positive hepatitis B and hepatitis C test results, as well as negative results for hepatitis B DNA and hepatitis C RNA.


The Health Department often receives more than one report for each person with chronic hepatitis B and hepatitis C and uses automatic de-duplication methods to identify repeat reports based on name, date of birth, and other information. Only the first report is counted in the data presented here.

Each year, the Health Department monitors the number of people with newly reported hepatitis B and C infections in NYC by releasing Annual Reports. The Health Department uses these data to describe trends over time and across groups, prevent new infections, and promote linkage to care and treatment. Annual reports released by the Viral Hepatitis Program in the NYC Health Department can be found here: https://www.nyc.gov/site/doh/data/data-publications/hepatitis-abc-surveillance-data.page

HIV/AIDS data from the HIV Surveillance Annual Report
Data reported to the HIV Epidemiology Program by March 31, 2022. All data shown are for people ages 18 and older. Borough-wide and citywide totals may include cases assigned to a borough with an unknown UHF or assigned to NYC with an unknown borough, respectively. Therefore, UHF totals may not sum to borough totals and borough totals may not sum to citywide totals.""

The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the DOHMH, Division of Epidemiology, Bureau of Epidemiology Services. CHS provides robust data on the health of New Yorkers, including neighborhood, borough, and citywide estimates on a broad range of chronic diseases and behavioral risk factors. The data are analyzed and disseminated to influence health program decisions, and increase the understanding of the relationship between health behavior and health status.
For more information see EpiQuery, https://a816-health.nyc.gov/hdi/epiquery/visualizations?PageType=ps&PopulationSource=CHS

NYC Reported Dog Bites.

Section 11.03 of NYC Health Code requires all animals bites to be reported within 24 hours of the event.

Information reported assists the Health Department to determine if the biting dog is healthy ten days after the person was bitten in order to avoid having the person bitten receive unnecessary rabies shots. Data is collected from reports received online, mail, fax or by phone to 311 or NYC DOHMH Animal Bite Unit. Each record represents a single dog bite incident. Information on breed, age, gender and Spayed or Neutered status have not been verified by DOHMH and is listed only as reported to DOHMH. A blank space in the dataset means no data was available.

Severe maternal morbidity (SMM) refers to life-threatening complications of labor and delivery that result in significant short- or long-term health consequences. SMM data are derived from linking NYC birth certificates for births occurring at NYC facilities with the mother's delivery hospitalization record from the New York Statewide Planning and Research Cooperative System. SMM is identified using an established algorithm developed by the Centers for Disease Control and Prevention that comprises 21 indicators that represent diagnoses of serious complications of pregnancy or delivery or procedures used to manage serious conditions. Each record represents the aggregated number and rate of SMM events in the population group specified for the year specified.

This dataset provides restaurant inspections, violations, grades and adjudication information