Public school district boundaries for all districts in New York State as of 2020Sourced from New York State GIS Clearinghouse:https://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1326Metadata:Identification_Information:Citation:Citation_Information:Title:SchoolDistricts_2019_v3Geospatial_Data_Presentation_Form: vector digital dataDescription:Abstract:Data is updated when school distrcits merge or otherwise change.Purpose:NYS School DistrictsSpatial_Domain:Bounding_Coordinates:West_Bounding_Coordinate: -79.996911East_Bounding_Coordinate: -71.650182North_Bounding_Coordinate: 45.022656South_Bounding_Coordinate: 40.386493Keywords:Theme:Theme_Keyword_Thesaurus: NoneTheme_Keyword: NYS SchoolTheme_Keyword: School DistrictsAccess_Constraints: NoneUse_Constraints:NoneData_Set_Credit:NYS Education DepartmentNative_Data_Set_Environment:Esri ArcGIS 10.3.1.4959

School District boundaries for New York City. School districts are administrative areas defined by New York City Department of Education (DOE). School districts are not the same as the school zones that are used by DOE for school assignment at the elementary or middle school level. All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25c

School Districts of NYS.

This is an ESRI shape file of school point locations based on the official address. It includes some additional basic and pertinent information needed to link to other data sources. It also includes some basic school information such as Name, Address, Principal, and Principal’s contact information.

History

Additional geodata can be very useful in many directions of the data analysis, and New York City has a lot of open information to make this work much easier.

I've created this dataset about NYC School Districts for combining with educational and demographical information.

Content

The data about areas, shapes, and coordinates of NYC School Districts can be found in the next five files:

• nysd.dbf
• nysd.prj
• nysd.shp
• nysd.shp.xml
• nysd.shx

The files were downloaded from the official site NYC Department of City Planning. Open Data

Here the Lambert conformal conic projection (LCC) has the Earth Geodetic Parameter Set (EPSG) = 2263. The World Geodetic System 1984, used in GPS, has EPSG = 4326.

Acknowledgments

This information was received from the official and free source and it is possible to download other shapefiles and to view the metadata for New York City Political, Administrative and Census geographies.

Usage

This dataset can be used to visualize data in the form of geographic maps and charts.

Improvement

The data could be transformed into a wider information system with statistics about education in NYC.

School Districts as shown on the Sullivan County Tax Maps which are used for taxation and assessment. The School Districts feature layer is available for download by the public. Data can then be used to perform analysis, as a reference layer in maps created by the user, and/or for data visualization. Data is also used by GIS staff to create maps and apps for public use. Data was mapped using the NAD 1983 State Plane New York East FIPS 3101 Feet projection.

The point map shows the obesity rate by grade level for public school districts in New York State, exclusive of New York City, from the Student Weight Status Category Reporting System (SWSCR). The initial view of the map is broken up into large geographic areas and displays the number of public school districts in each area. To drill down to a smaller geographic area, click directly on the area of the map or click the plus sign to zoom in on the map. The small blue dots represent school district offices, not the location of specific schools. Clicking on a dot will bring up a fly-out for that district, with information about the obesity rate, grade level, county, region and school years. You can click “next” on the fly-out to view the rate for all three grade levels (elementary, middle/high and district total). Please note that if the obesity rate value is blank on a given flyout, it means that obesity data for this school district and grade level could not be reported to the NYSDOH due to the Family Educational Rights and Privacy Act (FERPA). For more information on FERPA, please refer to the Student Weight Overview document by clicking on the "About" tab. The map can be filtered by grade level by changing the options under the Filter tab. Removing the school district filter is not recommended. The map is based on data collected through the SWSCR. New York City public school districts, BOCES, charter, private and 4201 designated schools are exempt from reporting data to the SWSCR system.

For more information check out http://www.health.ny.gov/prevention/obesity/statistics_and_impact/student_weight_status_data.htm. The "About" tab contains additional details concerning this dataset.

All NY Schools, Kindergarten through 12th grade within New York State.

The NYS KWIC Mapping Tool allows users to map and download allKWIC indicator data, as well as numerous additional data indicatorsat the following boundary levels: County, County Subdivision, School District, NYS Senate District, NYS Assembly District, US Congressional District (NY)Users can also map the following New York State location data: Public Schools, WIC Sites, Head Start and Early Head Start Sites, Career Centers

This map shows the percentage of high school drop outs by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of high school drop outs. The darker shaded counties have higher percentages of high school drop outs. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This study tests the efficacy of an intervention--Safe Public Spaces (SPS) -- focused on improving the safety of public spaces in schools, such as hallways, cafeterias, and stairwells. Twenty-four schools with middle grades in a large urban area were recruited for participation and were pair-matched and then assigned to either treatment or control. The study comprises four components: an implementation evaluation, a cost study, an impact study, and a community crime study. Community-crime-study: The community crime study used the arrest of juveniles from the NYPD (New York Police Department) data. The data can be found at (https://data.cityofnewyork.us/Public-Safety/NYPD-Arrests-Data-Historic-/8h9b-rp9u). Data include all arrest for the juvenile crime during the life of the intervention. The 12 matched schools were identified and geo-mapped using Quantum GIS (QGIS) 3.8 software. Block groups in the 2010 US Census in which the schools reside and neighboring block groups were mapped into micro-areas. This resulted in twelve experimental school blocks and 11 control blocks which the schools reside (two of the control schools existed in the same census block group). Additionally, neighboring blocks using were geo-mapped into 70 experimental and 77 control adjacent block groups (see map). Finally, juvenile arrests were mapped into experimental and control areas. Using the ARIMA time-series method in Stata 15 statistical software package, arrest data were analyzed to compare the change in juvenile arrests in the experimental and control sites. Cost-study: For the cost study, information from the implementing organization (Engaging Schools) was combined with data from phone conversations and follow-up communications with staff in school sites to populate a Resource Cost Model. The Resource Cost Model Excel file will be provided for archiving. This file contains details on the staff time and materials allocated to the intervention, as well as the NYC prices in 2018 US dollars associated with each element. Prices were gathered from multiple sources, including actual NYC DOE data on salaries for position types for which these data were available and district salary schedules for the other staff types. Census data were used to calculate benefits. Impact-evaluation: The impact evaluation was conducted using data from the Research Alliance for New York City Schools. Among the core functions of the Research Alliance is maintaining a unique archive of longitudinal data on NYC schools to support ongoing research. The Research Alliance builds and maintains an archive of longitudinal data about NYC schools. Their agreement with the New York City Department of Education (NYC DOE) outlines the data they receive, the process they use to obtain it, and the security measures to keep it safe. Implementation-study: The implementation study comprises the baseline survey and observation data. Interview transcripts are not archived.

A recent New York Times article examines one of the biggest drivers in a families' decision to leave cities: school. Using data from a number of sources, the New York Times developed charts that look at school performance and median home sale price per square foot for five metro areas including New York/New Jersey, San Francisco, Boston, Chicago, and Minneapolis.For most of the cities studied, home prices rise with the quality of the school district but a number of districts break this pattern. The map shown highlights five Bay Area schools that perform above average, and have below average housing costs.The New York Times used median price per square foot to measure housing costs and the median number of grades ahead (or behind) for school district quality. In the San Francisco Bay Region, the price per square foot was around $500 while students were .28 grades ahead of their grade placement. The five Bay Area schools that were selected had the lowest home prices and the best performing schools in the region.Source: New York Times

The School Immunization Survey collects aggregate data from schools in New York State regarding the immunization status of all the students attending school. All schools, excluding New York City public schools, have reported the immunization status of all students in grades kindergarten through 12. New York City public schools report the immunization status of all students via the Automate the Schools system (ATS). The New York City Department of Health and Mental Hygiene provides the aggregate data by district to the New York State Department of Health. For more information, check out: http://www.health.ny.gov/prevention/immunization or go to the "About" tab.

Atomic polygons serve as a set of basic building blocks for generating the polygons of many of the district types represented in the CSCL database. Feature classes such as election district, school district, census block, FDNY administrative company, and community district can be dissolved by combining the appropriate fields in atomic polygons.