robworks-software/us-k12-schools-comprehensive

US K-12 Schools Comprehensive Dataset

The most comprehensive open dataset of US K-12 schools, covering 124,613+ schools across all 50 states, DC, and US territories. Includes school directory information, demographics, performance data, and principal/staff contacts from 23 state education agencies, school website scraping, and the federal CRDC.

Quick Start

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("robworks-software/us-k12-schools-comprehensive")

# Filter by state
texas_schools = dataset["train"].filter(lambda x: x["state"] == "TX")

# Filter by school type
public_schools = dataset["train"].filter(lambda x: x["school_type"] == "public")
private_schools = dataset["train"].filter(lambda x: x["school_type"] == "private")

# Get high schools only
high_schools = dataset["train"].filter(lambda x: x["school_level"] == "high")

# Find schools with principal contact info
with_principals = dataset["train"].filter(lambda x: x["principal_name"] is not None)

Dataset Statistics

Metric	Value
Total Schools	124,613
Public Schools	~96,457
Private Schools	~28,156
States/Territories	56
School Year	2022-2023 (public), 2021-2022 (private)

Coverage Statistics

Field	Count	Coverage
Phone	124,190	99.7%
Website	71,117	57.1%
Principal Name	63,161	50.7%
Principal Email	36,650	29.4%
Demographics	119,209	95.7%
Performance Data	123,624	99.2%

Data Fields (45 columns)

Core Directory Fields

• nces_school_id: Unique NCES identifier (primary key, 12-digit string)
• school_name: Official school name
• state_school_id: State-specific school identifier
• address, city, state, zip_code: Physical location
• county: County name
• latitude, longitude: Geographic coordinates
• locale_description: Urban/suburban/rural classification
• phone, website: Contact information

Classification Fields

• school_type: public, private, charter
• school_level: elementary, middle, high, combined
• grade_span: Grade range (e.g., "K-5", "9-12")
• charter_school: Boolean
• magnet_school: Boolean
• virtual_school: Boolean
• title_i_status: Title I eligibility

District Fields

• district_nces_id: District NCES ID (7-digit string)
• district_name: District name

Enrollment & Staff

• total_students: Total student enrollment
• total_teachers: Teacher FTE count
• student_teacher_ratio: Students per teacher
• principal_name: School principal name (50.7% coverage)
• principal_email: Principal email address (29.4% coverage)
• staff_json: Full staff record as JSON (principal name, email, phone, data source)

Demographics

• demographics_json: Full demographics data as JSON
• pct_free_reduced_lunch: Percentage eligible for free/reduced lunch
• pct_english_learners: Percentage of English language learners
• pct_special_education: Percentage receiving special education services
• pct_white, pct_black, pct_hispanic, pct_asian: Race/ethnicity percentages

Performance

• performance_json: Full performance data as JSON
• accountability_rating: State accountability rating
• graduation_rate: Graduation rate (high schools)
• greatschools_rating: GreatSchools rating (1-10 scale)
• niche_rating: Niche letter grade rating

Metadata

• school_year: School year of the data
• status: School operational status
• data_sources_json: JSON array of data source attribution records
• last_updated: ISO timestamp of last data update

Data Sources

This dataset is compiled from authoritative federal and state sources:

1. NCES Common Core of Data (CCD) - Primary source for ~100,000 public schools

   • School directory, enrollment, demographics, staff counts
   • Source: https://nces.ed.gov/ccd/

2. NCES Private School Universe Survey (PSS) - ~30,000 private schools

   • School directory, enrollment, religious orientation
   • Source: https://nces.ed.gov/surveys/pss/

3. Civil Rights Data Collection (CRDC) - ~98,000 public schools

   • Principal names, principal emails, enrollment demographics
   • Source: https://civilrightsdata.ed.gov/

4. State Education Department Directories (23 states) - Principal names, emails, websites

   • Texas (TEA AskTED), California (CDE), New York (NYSED SEDREF)
   • Florida (FLDOE MSID), Illinois (ISBE), New Jersey (NJDOE)
   • Michigan (CEPI EEM), Ohio (ODE), Pennsylvania (PDE)
   • North Carolina (DPI SRC), Wisconsin (DPI), Virginia (VDOE)
   • Missouri (DESE MCDS), Minnesota (MDE-ORG), Oklahoma (OSDE)
   • Indiana (IDOE), Georgia (GaDOE), Washington (OSPI)
   • Arkansas (ADE), Iowa (DE), Utah (USBE), Louisiana (LDOE), Oregon (ODE)

5. School Website Scraping - Principal names and emails extracted from school websites

   • Covers ~28,000 school websites using structured data extraction
   • Strategies: JSON-LD, CMS-specific selectors, DOM proximity, regex

6. State Report Cards - Performance data from all 50 states + DC

   • Graduation rates, accountability ratings, test scores

7. Urban Institute Education Data API - Demographics enrichment

   • Race/ethnicity breakdowns, free/reduced lunch, English learners
   • Source: https://educationdata.urban.org/

License

CC0-1.0 Universal (Public Domain Dedication)

The data in this dataset is primarily sourced from US government agencies (NCES, OCR, state education departments) and is in the public domain per 17 U.S.C. § 105 and state public records laws.

Attribution

While not legally required, we appreciate attribution:

• National Center for Education Statistics (NCES)
• US Department of Education, Office for Civil Rights (CRDC)
• State education agencies (TEA, CDE, NYSED, FLDOE, ISBE, NJDOE, CEPI, ODE, PDE, NCDPI, WI DPI, VDOE, MO DESE, MN MDE, OSDE, IDOE, GaDOE, OSPI, ADE, Iowa DE, USBE, LDOE, OR ODE)
• Urban Institute Education Data Portal

Use Cases

• Education Research: Analyze school demographics, performance, and distribution
• Real Estate: School information for property listings
• EdTech: Build school search and recommendation features
• Policy Analysis: Study educational access and equity
• AI/ML Training: Train models on educational institution data
• School Contact: Find principal and school contact information

Limitations

• Private school data is from 2021-2022 (PSS is biennial)
• Performance data availability varies by state
• Principal name/email coverage varies by state (50.7% overall)
• Some schools may have missing fields
• CRDC data may lag 1-2 years behind current school year

Citation

@dataset{us_k12_schools_2026,
  title={US K-12 Schools Comprehensive Dataset},
  author={Robworks Software},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/robworks-software/us-k12-schools-comprehensive}
}

Updates

This dataset is updated periodically as new data becomes available. Major data sources update on different schedules:

• NCES CCD: Annually (public schools)
• NCES PSS: Biennially (private schools)
• CRDC: Every 2-3 years (civil rights data)
• State directories: Annually (principal contacts)
• State report cards: Annually (performance data)

Contact

• Organization: Robworks Software
• Issues: Report data quality issues via HuggingFace discussions