Planimetric basemap line layer containing shoreline features. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

Local Law 83 of 2021 establishes a goal for City agencies to spend at least 50% of their print, digital, radio and TV advertising budgets with Ethnic and Community Media (ECM) outlets. This is a directory of approved ethnic and community media outlets with which spend counts positively towards the 50% spend goal outlined in LL83 of 2021

These records are generated from the trip record submissions made by green taxi Technology Service Providers (TSPs). Each row represents a single trip in a green taxi. The trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off taxi zone locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts

Citywide street tree data from the 2005 Street Tree Census, conducted partly by volunteers organized by NYC Parks & Recreation. Trees were inventoried by address, and were collected from 2005-2006. Data collected includes tree species, diameter, condition.

Listing of all Cultural Organizations in the Department of Cultural Affairs directory

This dataset contains capital appropriation data by project type, budget line and source of funds. Amounts are in whole dollars. Data is created three times per year for the Preliminary Budget, Executive Budget and Adopted Budget to match appropriation numbers in the Capital Budget publication.

NYCDOT sets parking meter rates across the five boroughs to be reflective of individual neighborhood parking conditions such as land use, density, and parking demand. Individual meter rates are posted on each parking meter and are represented in this dataset by blockface segments. NYCDOT provides this map for informational purpose only. Confirm the rate at the parking meter or on the ParkNYC app before paying and observe all posted signs.

A shapefile for mapping data by Modified Zip Code Tabulation Areas (MODZCTA) in NYC, based on the 2010 Census ZCTA shapefile. MODZCTA are being used by the NYC Department of Health & Mental Hygiene (DOHMH) for mapping COVID-19 Data.

Dataset containing information related to Force Incidents involving NYPD Members of Service.

The Threat, Resistance, or Injury (TRI) Report is the primary means by which the NYPD records use of force incidents. All reportable instances of force – whether used by a member of the Department, or against the member – are recorded on a TRI Report. Data provided here are a result of the information captured on TRI Reports. Each record corresponds to an incident where a member of service used force. The data can be used to explore the various categories of force incidents and when and in which precinct they occurred. The data is used to populate the public facing Force Dashboard (https://app.powerbigov.us/view?r=eyJrIjoiOGNhMjVhYTctMjk3Ny00MTZjLTliNDAtY2M2ZTQ5YWI3N2ViIiwidCI6IjJiOWY1N2ViLTc4ZDEtNDZmYi1iZTgzLWEyYWZkZDdjNjA0MyJ9).

Monthly consumption and cost data by borough and development. Data set includes utility vendor and meter information.

Directory of Play Areas

List of sales of select rent-regulated multiple dwellings where there may be potential for speculation. This list is promulgated pursuant to Local Law 7 of 2018 and 28 RCNY Chapter 52. This list is a subset of data provided in the LL7-2018 Qualified Transactions file.
Please note that borough, block, and lot is the best geographic identifier for this data set, and Building Identification Number (BIN) is provided for convenience only. BIN as provided in this dataset may be inaccurate, as more than one BIN may be associated with borough, block, and lot.
This list is a subset of data provided in theLL7-2018 Qualified Transactions file.

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.

A list of all shelter buildings in the DHS system with the number of violations issued to that building.

Overall attendance data include students in Districts 1-32 and 75 (Special Education). Students in District 79 (Alternative Schools & Programs), charter schools, home schooling, and home and hospital instruction are excluded. Pre-K data do not include NYC Early Education Centers or District Pre-K Centers; therefore, Pre-K data are limited to those who attend K-12 schools that offer Pre-K. Transfer schools are included in citywide, borough, and district counts but removed from school-level files.
Attendance is attributed to the school the student attended at the time. If a student attends multiple schools in a school year, the student will contribute data towards multiple schools.
Starting in 2020-21, the NYC DOE transitioned to NYSED's definition of chronic absenteeism. Students are considered chronically absent if they have an attendance of 90 percent or less (i.e. students who are absent 10 percent or more of the total days). In order to be included in chronic absenteeism calculations, students must be enrolled for at least 10 days (regardless of whether present or absent) and must have been present for at least 1 day. The NYSED chronic absenteeism definition is applied to all prior years in the report.
School-level chronic absenteeism data reflect chronic absenteeism at a particular school. In order to eliminate double-counting students in chronic absenteeism counts, calculations at the district, borough, and citywide levels include all attendance data that contribute to the given geographic category. For example, if a student was chronically absent at one school but not at another, the student would only be counted once in the citywide calculation. For this reason, chronic absenteeism counts will not align across files.
All demographic data are based on a student's most recent record in a given year.
Students With Disabilities (SWD) data do not include Pre-K students since Pre-K students are screened for IEPs only at the parents' request.
English language learner (ELL) data do not include Pre-K students since the New York State Education Department only begins administering assessments to be identified as an ELL in Kindergarten.
Only grades PK-12 are shown, but calculations for "All Grades" also include students missing a grade level, so PK-12 may not add up to "All Grades".
Data include students missing a gender, but are not shown due to small cell counts.
Data for Asian students include Native Hawaiian or Other Pacific Islanders . Multi-racial and Native American students, as well as students missing ethnicity/race data are included in the "Other" ethnicity category.
In order to comply with the Family Educational Rights and Privacy Act (FERPA) regulations on public reporting of education outcomes, rows with five or fewer students are suppressed, and have been replaced with an "s". Using total days of attendance as a proxy , rows with 900 or fewer total days are suppressed. In addition, other rows have been replaced with an "s" when they could reveal, through addition or subtraction, the underlying numbers that have been redacted. Chronic absenteeism values are suppressed, regardless of total days, if the number of students who contribute  at least 20 days is five or fewer. 
Due to the COVID-19 pandemic and resulting shift to remote learning in March 2020, 2019-20 attendance data was only available for September 2019 through March 13, 2020. Interactions data from the spring of 2020 are reported on a separate tab.
Interactions were reported by schools during remote learning, from April 6 2020 through June 26 2020 (a total of 57 instructional days, excluding special professional development days of June 4 and June 9). Schools were required to indicate any student from their roster that did not have an interaction on a given day. Schools were able to define interactions in a way that made sense for their students and families. Definitions of an interaction included:
• Student submission of an assignment or completion of an

2010 Census Tracts (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

This dataset lists all current protected streets throughout the five boroughs.

Crime and enforcement activity broken down by the race/ethnicity of victims, suspects, and arrestees

The DOHMH office of Public Health Engineering administers the Beach Surveillance and Monitoring Program for all permitted New York City beaches. The Beach Water Samples data set contains the enterococci measurements of beach water samples collected while administering the Monitoring Program. Monitoring Program conducts inspections from April through September of each year. For more information on the program, see: https://www.nyc.gov/site/doh/health/health-topics/beach-class.page

Table of ACS Demographics and
profile represented at the NTA level.
NTAs are aggregations of census tracts
that are subsets of New York City's 55
Public Use Microdata Areas (PUMAs)

A list of contractors and subcontractors who are ineligible for inclusion on any HPD prequalified list(s) for housing development projects due to a failure to provide the wage reporting information required by Local Law 44 of 2012 (LL44). Information about LL44 is available on HPD’s LL44 webpage: http://www1.nyc.gov/site/hpd/developers/transparency-ll44.page

All curbs between roadbed pavement and other surfaces (i.e., within the street right-of-way) were captured.
Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

Locations and types of refuse litter baskets tracked by DSNY. This data is collected through periodic surveys by DSNY field personnel. Each record represents the approximate location, ownership, and physical type of a single refuse litter basket. Litter basket locations are subject to frequent change, for reasons that include but are not limited to: litter basket damage, nearby construction, graffiti, or regular illegal use of basket for household or commercial waste. There is often a lag time between a change in basket type or location and the reflection of that change in this dataset. This dataset includes information on BID-owned and Privately-owned litter baskets. Non-profit and private entities wishing to place a litter basket on a public street must receive permission from the Department of Sanitation. Location data for these baskets may be less accurate than for baskets that are owned by DSNY. This dataset does not track public litter baskets placed by other City, State, or Federal agencies, notably the NYC Department of Parks and Recreation. Recycling baskets are also not tracked in this dataset.

Basketball Courts in New York City Department of Parks & Recreation properties.

The Department of Finance (DOF) is required by NY State law to value condominiums or cooperatives as if they were residential rental apartment buildings. DOF uses income information from rental properties similar in physical features and location to the condominiums or cooperatives. DOF applies this income data to the condominium or cooperative to determine its value in the same way DOF values rental apartment buildings. This report includes information at a condominium suffix level which represents a subdivision of the condominium since DOF values condominiums at a suffix level. A condominium may have more than one suffix.

This data set contains the reports from 2012-2018.