Is American Indian Owned
Boolean or coded flag indicating whether the vendor associated with the award is American Indian owned. It is a vendor socio-economic indicator attached to the vendor site details on an Other Transaction 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 American Indian owned vendors
- Measure socio-economic participation by ownership category
- Segment vendor populations for compliance or outreach analysis
Common Mistakes
- Assuming the field is always populated consistently across records
- Confusing this indicator with the vendor name, legal structure, or geographic location
Query Guidance
Use explicit value checks based on the observed encoding in your dataset, such as = 1, = 'Y', or = 'true'. When building counts or rates, filter on confirmed true values and handle nulls separately so missing data is not treated as false. If available, join with other vendor socio-economic indicator fields to avoid over-interpreting a single flag.
SQL Examples
Preview values
SELECT
content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isAmericanIndianOwned AS is_american_indian_owned
FROM fpds.data
WHERE content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isAmericanIndianOwned IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isAmericanIndianOwned AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorSocioEconomicIndicators__isAmericanIndianOwned 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.