Is Minority Owned
Boolean or coded flag indicating whether the vendor is identified as minority-owned in the Vendor Site Details socioeconomic indicators for this Other Transaction IDV record. A value such as 0 typically means the condition is not met or is not reported as true, while a true/positive value indicates minority-owned status.
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 minority-owned vendors
- Compute share of obligations to minority-owned firms
- Segment vendor population by socioeconomic status
Common Mistakes
- Assuming 0 always means no rather than possibly unknown or unreported
- Using the flag without checking for duplicate, null, or inconsistent coding
Query Guidance
Use the field in WHERE clauses or CASE expressions after confirming the encoded values in your dataset. For example, test for the value that represents true, and separately handle NULL or nonstandard codes so that false and unknown are not conflated.
SQL Examples
Preview values
SELECT
content__OtherTransactionIDV__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isMinorityOwned AS is_minority_owned
FROM fpds.data
WHERE content__OtherTransactionIDV__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isMinorityOwned IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__OtherTransactionIDV__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isMinorityOwned AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__OtherTransactionIDV__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isMinorityOwned 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.