March Enrollment by Race and Gender

Public school student headcounts by race/ethnicity and gender from the March FTE count, per school, district, and state, 2010-2025.

Source: Georgia Insights (GaDOE)
Year coverage: 2010–2025
Updated: annual
Version: 1.0.0
Schema hash: ed137f9d5a16

Detail levels available

StateDistrictSchool · default

Overview

Georgia Insights (GaDOE) FTE Enrollment by Race/Ethnicity and Gender — the March Cycle 3 FTE headcount of Georgia public school students, cross-classified by gender and by seven mutually exclusive race/ethnicity buckets (Hispanic, American Indian, Asian, Black, Pacific Islander, White, Two or more Races), for every school, district, and the state, fiscal years 2010-2025. This is the spring snapshot; the companion topic enrollment_october_gender_race_ethnicity reports the October Cycle 1 count. Source gender `Total` rows are dropped (redundant with Female + Male).

Row grain: One row per year, district_code, school_code, race, gender.

Key metric

num_students — Number Students (count)

The single headline value most answers want.

JSON schema →Data contract (YAML) →

Variables

Every column in the fact table. The code is the exact field name the API returns.

Column	Type	Unit	Range	Null?	Description
`year`Year	integer	—	—	no	Fiscal year of the March FTE count (2025 = March 2025, i.e. the 2024-2025 school year). Sourced from the bronze filename, cross-checked against each file's preamble. Full description▾ Fiscal year of the March FTE count (2025 = March 2025, i.e. the 2024-2025 school year). Sourced from the bronze filename, cross-checked against each file's preamble.
`district_code`District Code	string	—	—	yes	3-digit GOSA district code (zero-padded) for standard districts; 7-digit code for state charters. NULL for state-level rows. FK to districts dimension. Full description▾ 3-digit GOSA district code (zero-padded) for standard districts; 7-digit code for state charters. NULL for state-level rows. FK to districts dimension. Joins districts; adds its label columns.
`school_code`School Code	string	—	—	yes	4-digit GOSA school code, extracted from the bronze `School ID` (`NNNN-Name`) prefix. NULL for state- and district-level rows. FK to schools dimension (composite key with district_code). Full description▾ 4-digit GOSA school code, extracted from the bronze `School ID` (`NNNN-Name`) prefix. NULL for state- and district-level rows. FK to schools dimension (composite key with district_code). Joins schools; adds its label columns.
`race`Race	string	—	—	no	One of seven mutually exclusive race/ethnicity buckets; Hispanic is a separate bucket, not a race overlay. Full description▾ Race/ethnicity bucket (canonical race demographic keys, published as `race` because this topic is a race x gender cross-classification). Split Asian/Pacific Islander convention: `asian` and `pacific_islander` are separate buckets, never the combined rollup. `hispanic` is a non-overlapping ethnicity bucket — GaDOE FTE coding gives Hispanic ethnicity precedence over race, so a Hispanic student is counted ONLY under `hispanic` and the seven values partition total enrollment; do not treat `hispanic` as a Hispanic-of-any-race overlay. 7 allowed values▾ `asian` `black` `hispanic` `multiracial` `native_american` `pacific_islander` `white`
`gender`Gender	string	—	—	no	Student gender, female or male; the source's redundant Total rows are dropped. Full description▾ Student gender (`female` / `male`). The source's third value, `Total`, equals Female + Male on every fully published cell and is dropped during transform. 2 allowed values▾ `female` `male`
`num_students`Number Students	integer	count	—	yes	FTE student headcount for the race x gender cell; NULL means suppressed (small cell), not zero. Full description▾ FTE student headcount for the (year, geography, race, gender) cell. Raw count, not scaled. NULL when suppressed in source; every non-null value is >= 15 (the observed suppression floor across all 32 bronze files). State-level cells are never suppressed.

Filters

Query parameters the fact endpoint accepts. Comma-separated values are OR within a parameter; multiple parameters AND together.

Parameter	Kind	Allowed values	Notes
`year`	year_exact	any value	—
`year_min`	year_range	any value	—
`year_max`	year_range	any value	—
`detail`	detail	`districtsschoolsstates`	enum-enforced, default: schools
`district_code`	foreign_key	any value	multi-value
`school_code`	foreign_key	any value	multi-value
`race`	categorical	7 allowed values▾ `asian` `black` `hispanic` `multiracial` `native_american` `pacific_islander` `white`	multi-value, enum-enforced, pick one
`gender`	categorical	`femalemale`	multi-value, enum-enforced, pick one
`district_type`	dimension_attribute	7 allowed values▾ `commission_charter` `resa` `standard` `state_agency` `state_charter` `state_school` `state_special`	multi-value, enum-enforced

Example requests

Run these against the base URL — they return live data.

All rows (first page), schools level

curl "https://georgiacivicdata.org/api/v1/education/enrollment_march_gender_race_ethnicity"

schools data for 2025

curl "https://georgiacivicdata.org/api/v1/education/enrollment_march_gender_race_ethnicity?year=2025"

Filtered to race = asian for 2025

curl "https://georgiacivicdata.org/api/v1/education/enrollment_march_gender_race_ethnicity?year=2025&race=asian"

One district (code 601), 2025

curl "https://georgiacivicdata.org/api/v1/education/enrollment_march_gender_race_ethnicity?district_code=601&year=2025&detail=districts"

Download 2025 as CSV

curl "https://georgiacivicdata.org/api/v1/education/enrollment_march_gender_race_ethnicity?year=2025&format=csv"

Notes & limitations

NULL handling

Suppressed cells (too few students to report) are NULL, never zero.
Zero is a real, reported value.

Limitations

Suppressed cells are NULL (not zero). State rows have NULL district_code and school_code. District rows have NULL school_code.