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 provides restaurant inspections, violations, grades and adjudication information

DOHMH inspection results of all New York City restaurants as of 4/3/2012

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 dataset provides restaurant inspections, violations, grades and adjudication information

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.

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.

This dataset shows daily citywide counts of persons tested by nucleic acid amplification tests (NAAT, also known as a molecular test; e.g. a PCR test) for SARS-CoV-2 , counts of persons with positive tests, and the percent positivity. Also included is a calculation of the average percent positivity over a 7-day period. NAAT tests work through direct detection of the virus’s genetic material, and typically involve collecting a nasal swab. These tests are highly accurate and recommended for diagnosing current COVID-19 infection. After specimen collection, molecular tests are processed in a laboratory, and results are electronically reported to the New York State (NYS) Electronic Clinical Laboratory Results System (ECLRS). Test results for NYC residents are then sent electronically to NYC DOHMH. There is typically a lag of a few days between when a specimen is collected and when a result is reported to NYC DOHMH. Data is sourced from electronic laboratory reporting from NYS ECLRS. All identifying health information is excluded from the dataset.

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

This dataset contains information on antibody testing for COVID-19: the number of people who received a test, the number of people with positive results, the percentage of people tested who tested positive, and the rate of testing per 100,000 people, stratified by ZIP Code Tabulation Area (ZCTA) neighborhood poverty group. These data can also be accessed here: https://github.com/nychealth/coronavirus-data/blob/master/totals/antibody-by-poverty.csv Exposure to COVID-19 can be detected by measuring antibodies to the disease in a person’s blood, which can indicate that a person may have had an immune response to the virus. Antibodies are proteins produced by the body’s immune system that can be found in the blood. People can test positive for antibodies after they have been exposed, sometimes when they no longer test positive for the virus itself. It is important to note that the science around COVID-19 antibody tests is evolving rapidly and there is still much uncertainty about what individual antibody test results mean for a single person and what population-level antibody test results mean for understanding the epidemiology of COVID-19 at a population level. These data only provide information on people tested. People receiving an antibody test do not reflect all people in New York City; therefore, these data may not reflect antibody prevalence among all New Yorkers. Increasing instances of screening programs further impact the generalizability of these data, as screening programs influence who and how many people are tested over time. Examples of screening programs in NYC include: employers screening their workers (e.g., hospitals), and long-term care facilities screening their residents. In addition, there may be potential biases toward people receiving an antibody test who have a positive result because people who were previously ill are preferentially seeking testing, in addition to the testing of persons with higher exposure (e.g., health care workers, first responders.) Neighborhood-level poverty groups were classified in a manner consistent with Health Department practices to describe and monitor disparities in health in NYC. Neighborhood poverty measures are defined as the percentage of people earning below the Federal Poverty Threshold (FPT) within a ZCTA. The standard cut-points for defining categories of neighborhood-level poverty in NYC are: • Low: <10% of residents in ZCTA living below the FPT • Medium: 10% to <20% • High: 20% to <30% • Very high: ≥30% residents living below the FPT The ZCTAs used for classification reflect the first non-missing address within NYC for each person reported with an antibody test result. Rates were calculated using interpolated intercensal population estimates updated in 2019. These rates differ from previously reported rates based on the 2000 Census or previous versions of population estimates. The Health Department produced these population estimates based on estimates from the U.S. Census Bureau and NYC Department of City Planning. Rates for poverty were calculated using direct standardization for age at diagnosis and weighting by the US 2000 standard population. Antibody tests are categorized based on the date of specimen collection and are aggregated by full weeks starting each Sunday and ending on Saturday. For example, a person whose blood was collected for antibody testing on Wednesday, May 6 would be categorized as tested during the week ending May 9. A person tested twice in one week would only be counted once in that week. This dataset includes testing data beginning April 5, 2020. Data are updated daily, and the dataset preserves historical records and source data changes, so each extract date reflects the current copy of the data as of that date. For example, an extract date of 11/04/2020 and extract date of 11/03/2020 will both contain all records as they were as of that extract date. Without filtering or grouping by extract date, an analysis will almost certain

Cryptosporidiosis by race/ethnicity and borough of residence Release 1.1: Cryptosporidiosis, number of cases and annual case rate per 100,000 population by Race/Ethnicity and Borough of residence Table from Waterborne Disease Risk Assessment Program annual report

Surveillance data for cryptosporidiosis reported to the NYC Department of Health and Mental Hygiene (DOHMH). Data are derived from reports filed with the NYC DOHMH by laboratories and Health care providers as required by Section 11.03 of the NYC Health Code, and from telephone interviews of cryptosporidiosis case-patients. For more information, please visit Waterborne Disease Risk Assessment Program's Annual Reports, 1997-2016: http://www.nyc.gov/html/dep/html/drinking_water/wdrap.shtml, and the Communicable Disease Surveillance Data Module on Epiquery: nyc.gov/health/epiquery.

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

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

Summary results from NYC Community Health Survey 2010-2014: adults ages 18 years and older Source: NYC Community Health Survey (CHS) 2010-14. 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

The New York City Department of Health and Mental Hygiene (NYC DOHMH) has shared vital statistics data (birth and mortality data) online. Birth data includes demographic information on the mother, including age, race, and education. Mortality data includes demographic information on the deceased, such as age, sex, race, and education. The publicly-available birth and death micro-SAS datasets provide aggregate data on the community district, zip code, and census tract levels. Researchers may also complete an application process to request line-listed and de-identified vital statistics data from NYC DOHMH.

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.

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

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.

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.