Is Service Related Disabled Veteran Owned Business
Boolean or coded flag indicating whether the vendor is identified in FPDS as a service-disabled veteran-owned business at the vendor site level. It reflects the socio-economic status recorded for that vendor location in the award 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 to service-disabled veteran-owned businesses
- Calculate spend or count metrics by veteran-owned status
- Support compliance and diversity reporting
Common Mistakes
- Assuming the flag reflects the prime contractor entity rather than the vendor site record
- Comparing values without checking whether the source uses numeric or text codes
Query Guidance
Filter explicitly on the stored code for a positive indication, after confirming the dataset's encoding. Example pattern: WHERE isServiceRelatedDisabledVeteranOwnedBusiness IN (1, '1', 'Y', 'Yes'); when aggregating, group on normalized flag values and exclude nulls separately if needed.
SQL Examples
Preview values
SELECT
content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isServiceRelatedDisabledVeteranOwnedBusiness AS is_service_related_disabled_veteran_owned_business
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isServiceRelatedDisabledVeteranOwnedBusiness IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isServiceRelatedDisabledVeteranOwnedBusiness AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isServiceRelatedDisabledVeteranOwnedBusiness 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.