Is Other Minority Owned
Boolean or coded flag indicating whether the vendor is classified as "Other Minority Owned" within the FPDS award record. It is a specific sub-indicator under the vendor socio-economic minority-owned attributes, not a general minority-owned flag. The value typically represents the presence or absence of this status in the sourced record.
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 for other minority-owned vendors
- Calculate socio-economic award shares
- Segment vendor diversity analysis by minority-owned subtype
Common Mistakes
- Assuming it means any minority-owned status rather than the specific other-minority subtype
- Treating null or missing values as equivalent to false
Query Guidance
Use explicit boolean or code checks against the observed stored values, for example WHERE field = 1 or WHERE field IN ('Y','Yes','true') after confirming the dataset encoding. When building summary metrics, distinguish false from null and consider joining to parent minority-owned fields if you need the broader category.
SQL Examples
Preview values
SELECT
content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isOtherMinorityOwned AS is_other_minority_owned
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isOtherMinorityOwned IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isOtherMinorityOwned AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__minorityOwned__isOtherMinorityOwned 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.