School District Boundary Data
School district lines are the invisible force behind residential property values -- a street-level boundary shift can move home prices 10-20% overnight.
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Find Me This Data →Overview
What Is School District Boundary Data?
School district boundary data defines the geographic lines that determine which public schools serve specific residential areas and which tax jurisdictions fund those schools. These invisible borders have outsized importance in real estate markets: they determine local property tax rates, school quality, and educational access. School district boundaries are drawn onto landscapes shaped by historical housing policies and segregation, creating disparities in property values and school funding that can persist for decades. The data is published at granular levels, including grade-specific layers, enabling precise identification of which schools serve particular addresses.
Market Data
~95%
US Coverage
Source: ATTOM Data Solutions
2020–21 school year
Data Year
Source: New America / Education Demographic and Geographic Estimates Program
Unified, elementary, and secondary
District Types Tracked
Source: New America
Who Uses This Data
What AI models do with it.do with it.
Home Buyers & Real Estate Professionals
School attendance zones are a major factor home shoppers consider when purchasing property. Boundary data enables buyers to identify exact school assignments for specific addresses and assess school quality as part of home valuation.
Location Intelligence & Mapping Platforms
Companies use school district boundaries as premium spatial data layers to support delivery route optimization, behavioral marketing, store placement decisions, and geographic analysis across multiple sectors.
Policy & Equity Researchers
Researchers analyze school district borders to examine segregation patterns, resource inequality between districts, property value disparities, and the legacy effects of discriminatory housing policies on school funding.
Education Market Analysts
District-level data supports analysis of enrollment trends, funding flows, purchasing priorities, and resource allocation across K-12 school systems.
Pricing depends on the proposed terms
We do not have a verified, comparable price for your dataset. Consider the permitted uses, license term, exclusivity, provenance, coverage and quality. A seller asking price is a proposal, not an appraisal or guaranteed sale. Compare prices only when the source, date, currency, unit and license scope are known.
What Buyers Expect
What makes it valuable.valuable.
Grade-Level Granularity
Data must include separate boundary layers for each grade level served, not just generalized elementary/middle/high school zones, because school configurations vary significantly across districts.
Geographic Accuracy & Coverage
Boundaries must align with official Education Demographic and Geographic Estimates Program (EDGE) data and cover approximately 95% of US districts with defined geographic areas.
Linked Demographic & Financial Context
Buyers expect boundaries paired with enrollment data, poverty rates, median household income, property values, and per-pupil funding figures to enable equity and valuation analysis.
Current, Standardized Formats
Data should be updated annually to reflect district reorganizations and be delivered in formats compatible with GIS platforms and location intelligence software.
Potential applications and organizations
Who's buying.buying.
Location intelligence platform integrating school boundary data as premium spatial layers for 1,200+ customers including Vodafone, Mastercard, Google, and NYC government; serves 350,000+ users globally.
Provider of school district and attendance zone boundary data covering ~95% of US, offered at granular grade-level layers to support real estate and location analytics platforms.
Research organization publishing interactive mapping tools and analysis of school district boundaries, segregation patterns, and resource inequality across US districts.
FAQ
Common questions.questions.
How much can school district boundaries affect home prices?
A street-level boundary shift can move residential property values 10–20% overnight. School district lines determine both which schools serve an address and which tax jurisdiction funds those schools, creating significant disparities in property values between neighboring districts depending on school quality and local funding.
What data sources are used to create school district boundary datasets?
Primary sources include the Education Demographic and Geographic Estimates Program (EDGE) Composite School District Boundaries File for geographic data, the National Center for Education Statistics Common Core of Data (CCD) for enrollment and demographics, US Census Bureau Small Area Income and Poverty Estimates (SAIPE) for poverty data, and state education finance records.
Why is grade-level boundary granularity important?
School district configurations vary significantly across different grade levels. Some districts serve grades K–5 in elementary schools while neighboring districts serve K–6. Grade-specific layers provide accurate identification of which exact schools serve a particular address, whereas generalized elementary/middle/high school boundaries can be misleading.
Which districts are excluded from standard boundary datasets?
Datasets exclude districts without defined geographic areas, districts from US territories, Hawaii, and Washington DC (which each have only one school district). Analysis typically focuses on unified, elementary, and secondary district pairs that share state borders.
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