Is Historically Black College or University
Boolean or coded flag indicating whether the vendor site is identified as a Historically Black College or University (HBCU) in the award record. It represents the educational entity type classification stored under vendor site details, not the award action itself.
FPDS Compare
Use Cases
- Dictionary lookup and field explanation
- SQL filtering and grouping
- Analytical reporting and reusable query building
- Contractor profiling and competitor analysis
Common Usage
- Filter awards to HBCU vendors or vendor sites
- Measure obligations to HBCU-affiliated entities over time
- Segment supplier diversity or institutional participation analyses
Common Mistakes
- Assuming the flag identifies the prime awardee rather than the vendor site record
- Treating missing, null, or zero values as confirmed negative responses without checking source encoding
Query Guidance
Use explicit value checks against the observed encoding, for example `WHERE isHistoricallyBlackCollegeOrUniversity = 1` for true-like values or `= 'Y'` if the dataset stores coded text. When possible, join or inspect companion description fields and normalize null, zero, and false-equivalent values before aggregating.
SQL Examples
Preview values
SELECT
content__award__vendor__vendorSiteDetails__typeOfEducationalEntity__isHistoricallyBlackCollegeOrUniversity AS is_historically_black_college_or_university
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__typeOfEducationalEntity__isHistoricallyBlackCollegeOrUniversity IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__award__vendor__vendorSiteDetails__typeOfEducationalEntity__isHistoricallyBlackCollegeOrUniversity AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__typeOfEducationalEntity__isHistoricallyBlackCollegeOrUniversity IS NOT NULL
GROUP BY flag_value
ORDER BY record_count DESC
Each dictionary item includes SQL-ready examples generated alongside the variable metadata, allowing immediate use in FPDS Query for filtering, aggregation, and analysis.