Is Veteran Owned
Boolean or coded indicator showing whether the vendor identified in the award record is veteran-owned. It is a vendor socio-economic status flag at the vendor site level within the award data. Example values may appear as numeric codes such as 0/1 rather than a plain-text label.
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 veteran-owned vendors
- Calculate obligation share to veteran-owned businesses
- Compare socio-economic contracting across agencies or periods
Common Mistakes
- Assuming 0 always means false without confirming the query encoding
- Counting vendor status as award status without checking the record level and join grain
Query Guidance
Use this field in WHERE clauses after confirming the code mapping for true/false in your dataset. For example, filter for the veteran-owned condition explicitly rather than relying on non-null tests, and group by this flag only when the analysis is intended to compare veteran-owned versus non-veteran-owned awards. If the extract stores coded values, inspect distinct values first and align them with any companion description field before writing SQL.
SQL Examples
Preview values
SELECT
content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isVeteranOwned AS is_veteran_owned
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isVeteranOwned IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isVeteranOwned AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isVeteranOwned 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.