Is Black American Owned Business
Boolean or coded flag indicating whether the vendor is identified in FPDS as a Black American owned business at the vendor site level within an IDV record. A value such as 0 typically means the condition is not met or not reported, while other observed values should be checked against the dataset’s code conventions.
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
- Count awards or vendors flagged as Black American owned
- Segment spend or obligations by minority-owned status
- Build dashboards for socioeconomic participation and compliance
Common Mistakes
- Assuming missing values are equivalent to no
- Aggregating without normalizing coded values across extracts
Query Guidance
In SQL, filter or group on the normalized indicator value after checking the dataset’s code mapping; for example, use a CASE expression to map the field into true, false, and unknown buckets before counting or joining to award-level summaries. Avoid relying on raw text comparisons unless you have confirmed the exact stored representation.
SQL Examples
Preview values
SELECT
content__IDV__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isBlackAmericanOwnedBusiness AS is_black_american_owned_business
FROM fpds.data
WHERE content__IDV__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isBlackAmericanOwnedBusiness IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__IDV__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isBlackAmericanOwnedBusiness AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__IDV__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isBlackAmericanOwnedBusiness 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.