Data Notes & Methodology
This page documents how EduSignal collects, processes, and presents K-12 school district data. Use this as a reference for understanding data sources, known limitations, and proper citation.
Data Coverage by State
| State | Acct | Prof | Grow | Fisc | Demo | Att | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AL | KY | ND | ||||||||||||||||||||
| AK | LA | OH | ||||||||||||||||||||
| AZ | ME | OK | ||||||||||||||||||||
| AR | MD | OR | ||||||||||||||||||||
| CA | MA | PA | ||||||||||||||||||||
| CO | MI | RI | ||||||||||||||||||||
| CT | MN | SC | ||||||||||||||||||||
| DE | MS | SD | ||||||||||||||||||||
| DC | MO | TN | ||||||||||||||||||||
| FL | MT | TX | ||||||||||||||||||||
| GA | NE | UT | ||||||||||||||||||||
| HI | NV | VT | ||||||||||||||||||||
| ID | NH | VA | ||||||||||||||||||||
| IL | NJ | WA | ||||||||||||||||||||
| IN | NM | WV | ||||||||||||||||||||
| IA | NY | WI | ||||||||||||||||||||
| KS | NC | WY |
How We Collect Data
Federal Data Sources
The foundation of EduSignal's district data comes from federal government sources, primarily through the Urban Institute's Education Data Portal, which aggregates data from multiple federal agencies:
- NCES Common Core of Data (CCD): The National Center for Education Statistics collects annual data from all state education agencies. This provides enrollment counts, school counts, staffing levels, student-teacher ratios, and demographic breakdowns for every public school district in America.
- NCES F-33 Finance Survey: Annual fiscal data including per-pupil expenditures, total budgets, and revenue breakdowns by source (federal, state, local). This data has a longer lag than other sources (typically 18-24 months).
- EDFacts: Academic performance data including assessment proficiency rates and graduation rates, collected by the U.S. Department of Education from state education agencies.
- NCES ELSI: The Elementary/Secondary Information System provides detailed staffing data including counselors, psychologists, paraprofessionals, and librarians.
State Department of Education Sources
While federal data provides a consistent baseline, state DOE sources provide richer detail, especially for:
- Accountability ratings: A-F grades, star ratings, or tier designations that states assign to districts
- State assessment data: Proficiency rates on state-specific tests (STAAR in Texas, NC End-of-Grade in North Carolina, etc.)
- Growth metrics: Value-added measures like EVAAS or student growth percentiles
- Chronic absenteeism: Percentage of students missing 10% or more of school days
- State-specific demographics: More current enrollment and demographic data than federal sources
State data is collected via a combination of automated downloads (where APIs are available) and manual processing of CSV/Excel files from state DOE websites. Each state's data is imported using state-specific scripts that handle the unique formats and field mappings.
Refresh Cadence
Federal data is refreshed annually, typically in fall when NCES releases updated CCD files. State data is refreshed as states release new accountability reports (usually fall for the prior school year). We aim to update state data within 2-4 weeks of official release.
How We Aggregate and Normalize
District Filtering
EduSignal focuses on traditional public school districts. We filter to NCES agency type 1 (local school districts), excluding:
- Charter school networks (agency type 7) — though charter schools within traditional districts are included in district totals
- Regional special education districts
- Vocational/technical districts
- State-operated institutions
State-Level Aggregates
State-level statistics (average per-pupil spending, average proficiency rates, etc.) are calculated using enrollment-weighted averages. This means larger districts contribute proportionally more to state averages, reflecting the experience of more students.
Computed Fields
The following metrics are calculated rather than sourced directly:
- Enrollment trend (%): Calculated as (current_enrollment - prior_year_enrollment) / prior_year_enrollment × 100
- Student-teacher ratio: Total enrollment ÷ Full-time equivalent teachers
- Student-counselor ratio: Total enrollment ÷ Guidance counselor FTE
- Demographic percentages: Each demographic group ÷ total enrollment × 100
- Revenue percentages: Federal/State/Local revenue ÷ total revenue × 100
Cross-State Normalization
While we present data in a consistent format, readers should be cautious about direct cross-state comparisons for certain metrics. See the Known Limitations section for details on cross-state comparability.
Data Freshness
Education data has inherent lags due to the time required for school years to complete, data to be reported, and federal/state agencies to process and release files.
Current Data Years by Category
| Data Category | Source | Current Data Year | Typical Lag |
|---|---|---|---|
| Enrollment & Demographics | NCES CCD | 2024-25 | 12-18 months |
| Financial Data | NCES F-33 | 2022-23 | 18-24 months |
| Staffing Data | NCES ELSI | 2024-25 | 12-18 months |
| Graduation Rates | EDFacts / State DOE | 2023-24 | 6-12 months |
| Assessment Proficiency | State DOE | 2023-24 or 2024-25 | 3-9 months |
| Accountability Ratings | State DOE | 2023-24 or 2024-25 | 3-9 months |
State Data Years
State-specific data years vary based on when each state releases their accountability reports:
| State | Federal Data Year | State Data Year |
|---|---|---|
| Alabama (AL) | 2022-23 | 2024-25 |
| Alaska (AK) | 2022-23 | 2024-25 |
| Arizona (AZ) | — | 2024-25 |
| Arkansas (AR) | 2022-23 | 2024-25 |
| California (CA) | 2022-23 | 2024-25 |
| Colorado (CO) | 2022-23 | 2024-25 |
| Connecticut (CT) | — | 2024-25 |
| Delaware (DE) | 2022-23 | 2024-25 |
| District of Columbia (DC) | 2022-23 | 2024-25 |
| Florida (FL) | 2022-23 | 2023-24 |
| Georgia (GA) | 2022-23 | 2023-24 |
| Hawaii (HI) | 2022-23 | 2024-25 |
| Idaho (ID) | 2022-23 | 2024-25 |
| Illinois (IL) | 2022-23 | 2024-25 |
| Indiana (IN) | 2022-23 | 2024-25 |
| Iowa (IA) | 2022-23 | 2024-25 |
| Kansas (KS) | 2022-23 | 2024-25 |
| Kentucky (KY) | 2022-23 | 2024-25 |
| Louisiana (LA) | 2022-23 | 2024-25 |
| Maine (ME) | 2022-23 | 2024-25 |
| Maryland (MD) | 2022-23 | 2024-25 |
| Massachusetts (MA) | — | 2024-25 |
| Michigan (MI) | 2022-23 | 2024-25 |
| Minnesota (MN) | 2022-23 | 2024-25 |
| Mississippi (MS) | 2022-23 | 2024-25 |
| Missouri (MO) | 2022-23 | 2024-25 |
| Montana (MT) | 2022-23 | — |
| Nebraska (NE) | — | 2024-25 |
| Nevada (NV) | — | 2024-25 |
| New Hampshire (NH) | — | 2024-25 |
| New Jersey (NJ) | 2022-23 | 2023-24 |
| New Mexico (NM) | 2022-23 | 2024-25 |
| New York (NY) | 2022-23 | 2023-24 |
| North Carolina (NC) | 2022 | — |
| North Dakota (ND) | — | 2024-25 |
| Ohio (OH) | 2022-23 | 2024-25 |
| Oklahoma (OK) | — | 2024-25 |
| Oregon (OR) | — | 2024-25 |
| Pennsylvania (PA) | 2022-23 | 2024-25 |
| Rhode Island (RI) | 2022-23 | 2024-25 |
| South Carolina (SC) | 2022-23 | 2024-25 |
| South Dakota (SD) | — | 2024-25 |
| Tennessee (TN) | — | 2024-25 |
| Texas (TX) | — | 2024-25 |
| Utah (UT) | — | 2024-25 |
| Vermont (VT) | — | 2023-24 |
| Virginia (VA) | 2022-23 | 2024-25 |
| Washington (WA) | — | 2024-25 |
| West Virginia (WV) | 2022-23 | 2024-25 |
| Wisconsin (WI) | — | 2024-25 |
| Wyoming (WY) | — | 2024-25 |
Why is financial data so old? The NCES F-33 Finance Survey has the longest lag of any federal education data. Districts submit fiscal data to states, states validate and submit to NCES, and NCES processes and releases. This typically takes 18-24 months after a fiscal year ends. For more current financial data, check individual district websites or state DOE portals.
Known Limitations
Free/Reduced Price Lunch (FRPL) and CEP
FRPL percentage is commonly used as a proxy for student poverty, but this metric has significant limitations:
- Community Eligibility Provision (CEP): Schools and districts participating in CEP provide free meals to all students regardless of family income. In CEP schools, FRPL counts reflect the number of students eating school lunch, not the number eligible for free/reduced meals. This can significantly understate poverty levels.
- Direct Certification: Many students are directly certified for free meals through other programs (SNAP, TANF, foster care) without submitting applications. This improves accuracy but varies by state.
- Application burden: Families must submit applications, and not all eligible families do so. Under- reporting is common, especially in areas with immigration concerns.
For these reasons, FRPL should be considered a rough indicator rather than a precise measure of student poverty.
Cross-State Assessment Comparisons
Proficiency percentages cannot be directly compared across states. Each state sets its own proficiency standards and administers its own assessments. A student scoring "proficient" in Texas may not meet "proficient" standards in Massachusetts, and vice versa.
For this reason, EduSignal emphasizes proficiency relative to state averagerather than raw percentages. A district that is 5 points above its state average is performing better than typical for that state, regardless of how that state's standards compare to others.
For rigorous cross-state comparisons, researchers should use the National Assessment of Educational Progress (NAEP), which administers the same test to representative samples in every state. NAEP data is not included in EduSignal.
Financial Data Lag
Per-pupil spending and budget data is typically 18-24 months old due to the NCES F-33 reporting timeline (see Data Freshness). Significant changes in district funding — from bond measures, state funding formula changes, or enrollment shifts — may not yet be reflected. For current budget information, consult district websites directly.
Charter Schools
EduSignal focuses on traditional public school districts (NCES agency type 1). Charter school networks and standalone charter schools are generally not included as separate entries. However:
- Charter schools that are authorized by and report through a traditional district may be included in that district's enrollment and school counts.
- State-authorized charter schools operating independently are typically not included.
- This varies by state based on how charter authorization works.
Missing Data
Not all data is available for all districts. Common reasons for missing values:
- Suppression: Small cell sizes (fewer than 10 students) are suppressed to protect student privacy.
- Non-reporting: Some districts fail to report certain data to state or federal agencies.
- Elementary-only districts: Districts without high schools will not have graduation rates or dropout rates.
- State data gaps: Some states do not report certain metrics (e.g., chronic absenteeism, growth measures) or report them in formats that cannot be easily integrated.
Missing values are displayed as "—" or "N/A" on district profile pages rather than as zeros.
State-Specific Notes
Each state has unique data structures, assessment systems, and accountability frameworks. Below are notes for states with significant variations from federal data.
North Carolina
- Accountability: NC assigns Performance Grades (A-F) to schools, not districts. District-level grades shown on EduSignal are calculated as the mode (most common grade) across schools in each district.
- Growth: NC uses EVAAS (Education Value-Added Assessment System) for growth measurement. Growth status (Exceeded/Met/Not Met expectations) is aggregated from school-level data.
- Assessment:NC End-of-Grade tests (grades 3-8) and End-of-Course tests (high school). Proficiency is measured as "Grade Level Proficient" or above.
- Data source: NC DPI School Report Cards and Disaggregated Performance files.
Texas
- Accountability: TX assigns A-F grades to both schools and districts. District grades are assigned directly by TEA (not aggregated from schools).
- Assessment:STAAR (State of Texas Assessments of Academic Readiness) with three performance levels: Approaches Grade Level, Meets Grade Level, and Masters Grade Level. EduSignal uses "Meets Grade Level" as the proficiency threshold.
- Regions: Texas has 20 Education Service Center (ESC) regions for administrative purposes.
- Data source: Texas Academic Performance Reports (TAPR) from TEA.
Florida
- Accountability: FL assigns School Grades (A-F) that incorporate proficiency, learning gains, and acceleration measures. District-level grades are available.
- Learning Gains:Florida uniquely reports "Lowest 25% Learning Gains" — growth among students in the lowest quartile. This is a key equity indicator.
- Assessment: Florida Standards Assessments (FSA/FAST) with proficiency levels 1-5. Level 3+ is considered proficient.
- Data source: FLDOE School Grades files and supplemental demographics from Survey 2 data.
California
- Accountability: California uses the Dashboard system with color-coded ratings (Blue, Green, Yellow, Orange, Red) rather than A-F grades. Colors indicate both current performance and change from prior year.
- Assessment:CAASPP (California Assessment of Student Performance and Progress) using Smarter Balanced tests. Results are reported as "Standard Met" or "Standard Exceeded" (combined = proficient).
- Per-pupil spending:California reports "Current Expense of Education" per ADA (average daily attendance) rather than per enrolled student.
- Data source: California School Dashboard and CDE DataQuest.
New York
- Accountability: NY uses an accountability status system (Good Standing, Targeted Support, Comprehensive Support) under ESSA rather than letter grades.
- Assessment: NY State Testing Program with performance levels 1-4. Level 3 or 4 is considered proficient.
- District structure:NY has a complex system including "Big 5" city districts (NYC, Buffalo, Rochester, Syracuse, Yonkers) with different governance than other districts. NYC alone has over 1 million students.
- Data source: NYSED data.nysed.gov portal.
Additional state-specific documentation will be added as more states are fully integrated. For questions about specific state data, please contact us.
AI-Generated Content
District Summaries
Each district profile page includes a plain-English summary that provides an overview of the district's key characteristics. These summaries are generated by AI (Claude by Anthropic) using the structured data displayed elsewhere on the profile.
How summaries are generated
- Each summary is generated from the district's structured data (enrollment, demographics, academics, finances) plus state-level averages for comparison context.
- Summaries are generated in batch and stored in our database. They are served as static content, not generated on-demand.
- Summaries are regenerated when the underlying data is refreshed (typically annually when new accountability data is released).
What summaries include
- District size, location, and context
- Enrollment trends (growing, stable, or declining)
- Academic performance relative to state averages
- Demographic composition (notable characteristics)
- Financial position (per-pupil spending context)
What summaries do NOT include
- Recommendations or value judgments
- Predictions about future performance
- Information not present in the structured data
- Comparisons to specific other districts
Verification
While AI summaries are generated from accurate data, they should not be cited as primary sources. Users should verify specific claims against the structured data on the profile page or against original source documents from NCES or state DOE websites.
Each summary displays the date it was last generated, allowing users to assess currency.
How to Cite
Citing EduSignal
When using data from EduSignal in publications or reports, please cite both EduSignal and the underlying data sources:
Data from EduSignal (edusignal.ai), aggregated from National Center for Education Statistics Common Core of Data (NCES CCD), F-33 Finance Survey, and [State] Department of Education. Data year: [year].
Citing Underlying Sources
For academic or formal publications, cite the original data sources directly:
NCES CCD
U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), [Year]. Retrieved from https://nces.ed.gov/ccd/
NCES F-33 Finance
U.S. Department of Education, National Center for Education Statistics, Public Elementary/Secondary School System Finance Data (F-33), [Year]. Retrieved from https://nces.ed.gov/ccd/f33agency.asp
State DOE Data
[State] Department of Education, [Report Name], [Year]. Retrieved from [URL]
Data Year References
When citing data, be specific about the data year. Different metrics on the same profile may come from different years:
- Enrollment data year is displayed in the Enrollment section
- Financial data year is displayed in the Finance section
- Assessment data year is displayed in the Academics section
District profile pages display the data year for each section. API and bulk export responses include data_year fields for each metric category.
Last updated: May 2026. For questions about data or methodology, please contact us. See also: Data Status Dashboard.