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
Dataset notating the approved wholesale market companies in the various markets BIC regulates.
This data is collected on the entities that apply with the Commission to operate as wholesale market companies throughout the City of New York
Each record represents an entity that is approved to operate in the City of New York by the Commission.
The BIC Number field is unique to every company that applies to the Commission. For wholesale market companies, the beginning letters indicate the market for which the company is located:
HPA - Hunts Point Adjacent Area
HPP - Hunts Point Product Market
HPM - Hunts Point Meat Market
FFM - Hunts Point Fulton Fish Market
GMM - Gansevoort Meat Market
"The following companies have been issued trade waste broker's registrations by the Business Integrity Commission. They are authorized to broker agreements between business customers and trade waste removal
companies and/or to conduct evaluations of the customers' waste stream in order to recommend cost efficient means of waste disposal or other changes."
"The following companies have been issued Class 1 self-hauler registrations by the Business Integrity Commission. They are authorized to remove, collect or dispose of trade waste that is generated in the course of operation
of such person's business. (Companies removing, collecting or disposing of construction and demolition debris must apply for Exemption from Licensing Requirements, otherwise known as Class 2 Construction and
The NYC Women's Resource Network is a free, user-friendly database of over 1,000 nonprofit organizations and governmental agencies that work to advance and benefit women and families in New York City. A user can tailor their search by keyword, category, and/or borough to receive a customized listing of organizations that address their needs.
Pursuant to New York City’s Housing Maintenance Code, the Department of Housing
Preservation and Development (HPD) collects information on multiple dwellings in New York
City, and other buildings that fall under its jurisdiction. HPD’s Buildings Open Data covers all
buildings which meet any of the following criteria:
a. HPD has required the owner to register the building under the Housing Maintenance
b. HPD has initiated a litigation action under the HMC
c. HPD has received a complaint for the building
d. HPD has initiated a work order for the purposes of emergency repair, demolition, or
the Alternative Enforcement Program (AEP) for the building
e. HPD has added the property to the AEP program
This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) from 2006 to the end of last year (2015).Offenses occurring at intersections are represented at the X Coordinate and Y Coordinate of the intersection. Crimes occurring anywhere other than an intersection are geo-located to the middle of the block. For additional details, please see the attached data dictionary in the ‘About’ section.
Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several different sets of geographic base layers. The metrics presented in this table are based on 2010 high resolution land cover dataset.
The TC Assessment is a top-down approach to analyzing the forest. Its purpose is to integrate high resolution land cover data with other GIS datasets to produce a set of detailed metrics on the forest that allow decision makers to know how much tree canopy currently exists (termed Existing TC) and amount of land where is it biophysically feasible to establish tree canopy on (termed Possible TC).
Existing TC is determined by extracting all features classified as tree canopy from a high resolution land cover dataset. Possible TC is determined by identifying land where canopy could possibly exist. Possible TC in a GIS context is determined by overlaying high resolution land cover with cadastral and planimetric datasets to include building polygons and road polygons.
Possible TC is queried out from this overlay and consists of all land that was not existing canopy, not water, not a building, and not a road. Possible TC is further divided into two subcategories: Possible-impervious and Possible-vegetation. Possible-impervious consists of all impervious land that, through modification, could support tree canopy. Examples of such features are parking lots, driveways (through overhanging coverage) and playgrounds. Possible-vegetation consists of all land that is low-lying vegetation, primarily grass or shrubs, which could conceivably be converted to support tree canopy. Examples of such features include residential lawns and playing fields. TC metrics do not serve to address the issues of where it is socially desirable or financially feasible to plant trees. Rather, the TC metrics serve as the basis for beginning to form answers to these questions.
TC metrics are presented in the attribute table as both absolute area (in map units) and relative area (percentage of land area) per parcel. For example, an Existing TC Area (TC_E_A) value of 13,677 and an Existing TC Percentage (TC_E_P) of 21.8 indicate that for the parcel in question the area of Existing TC is 13,677 (in map units) and 21.8% of that feature is tree canopy. This assessment was completed by the University of Vermont's Spatial Analysis Laboratory with funding from National Urban and Community Forestry Advisory Council (NUCFAC) and the National Science Fundation (NSF) and in cooperation with the USDA Forest Service's Northern Research Station.
The TC Assessment protocols were developed by the USDA Forest Service's Northern Research Station and the University of Vermont's Spatial Analysis Laboratory in collaboration with the Maryland Department of Natural Resources. TC assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establishing TC goals.
Extensive land use and geographic data at the tax lot level in GIS format (ESRI Shapefile). Contains more than seventy fields derived from data maintained by city agencies, merged with tax lot features from the Department of Finance’s Digital Tax Map, clipped to the shoreline.
The Survey helps school leaders understand what key members of the school community say about the learning environment at each school. The information captured by the survey is designed to support a dialogue among all members of the school community about how to make the school a better place to learn.
Survey results provide insight into a school's learning environment and contribute a measure of diversification that goes beyond test scores on the Progress Report. NYC School Survey results contribute 10% - 15% of a school's Progress Report grade (the exact contribution to the Progress Report is dependent on school type). Survey questions assess the community's opinions on academic expectations, communication, engagement, and safety and respect. School leaders can use survey results to better understand their own school's strengths and target areas for improvement.