High School Reach dataset samples
=================================

These are 25-row samples of the four files in our California high
school college outcomes dataset, written 2026-11-04. Each sample holds the
first 25 rows of the full file, in the full file's own order, after
every rule the full file applies, so every sample row is a real row of the
dataset. The full files are available by arrangement: the request form
at https://highschoolreach.com/data reaches us.

Attribution for any display: "Source: High School Reach (highschoolreach.com)",
with a link to highschoolreach.com where the figure appears online.

Full files, as counted on 2026-11-04
------------------------------------

schools.csv                         2,742 rows
ca_uc_outcomes_by_school_year.csv   13,095 rows
                                    (2,052 schools, Fall 2018 to Fall 2025)
ca_county_state_ranks.csv           7,208 rows
matriculation_lists.csv             149,165 rows
                                    (1,291 school records, verified records
                                    only; 120 records left out; the
                                    college lists layer was built 2026-09-11)

Files and columns
-----------------

schools.csv
  sample: schools_sample.csv
  one row is one California high school (a school CDE lists as serving grade 12) that appears in either of the next two files
  columns: school_id, slug, name, city, county, district, school_type, cds_code, nces_id, reach_url

ca_uc_outcomes_by_school_year.csv
  sample: ca_uc_outcomes_by_school_year_sample.csv
  one row is one school in one University of California admission cycle
  columns: school_id, slug, name, year, seniors, seniors_estimated, top6_applicants, top6_admits, top6_enrollees, uc_reach_score, uc_reach_score_status, admits_ucb, admits_ucla, admits_ucsd, admits_ucsb, admits_uci, admits_ucd, source

ca_county_state_ranks.csv
  sample: ca_county_state_ranks_sample.csv
  one row is one school on one metric in its latest year, with its county and statewide standing
  columns: school_id, slug, name, county, metric, metric_definition, year, value, county_rank, county_count, statewide_rank, statewide_count, county_pct, statewide_pct

matriculation_lists.csv
  sample: matriculation_lists_sample.csv
  one row is one college on one school's own published college list
  columns: school_key, school, ca_slug, nces_id, reach_url, kind, years_label, numbered, college_name, count, count_label, count_multi_year, count_multi_year_label, publication_threshold_n, source_url, source_name, verified

What the data is
----------------

- UC outcomes: freshman applicants, admits and enrollees by California high
  school and UC campus, from the University of California Office of the
  President, Fall 2018 to Fall 2025.
- Senior class sizes: California Department of Education enrollment by school
  and year.
- Standings: SBAC ELA and Math, chronic absenteeism (CDE) and the UC Reach
  Score, each ranked within the county and statewide.
- College lists: the schools' own published college lists, each row citing
  the school document it came from. A count appears only where the school
  printed one.

Notes that ride every figure
----------------------------

- The UC Reach Score is top-6 UC admits (Berkeley, UCLA, San Diego, Santa
  Barbara, Irvine, Davis) per 100 seniors. Admits are counted at each campus,
  so a student admitted to three campuses counts three times, and a strong
  school scores above 100. That is the metric as defined.
- Blank means not available. Booleans are written true / false.
- Ranks and lists are editorial. Nothing anyone buys changes a rank, a list
  or a badge; licensing never touches the editorial side.
- These figures describe schools, never a home, a neighborhood or a person.