Is Foreign Owned and Located
Boolean or coded flag indicating whether the vendor is both foreign owned and located outside the United States. It is a vendor organization factor recorded at the award level and should be treated as a condition flag rather than a descriptive narrative.
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 involving foreign-owned, foreign-located vendors
- Calculate the share of obligation dollars to foreign vendors
- Segment procurement activity for compliance or geopolitical analysis
Common Mistakes
- Treating the flag as a measure of nationality of the parent company rather than the recorded vendor condition
- Assuming null, blank, or zero all mean the same thing without checking the source coding
Query Guidance
Filter on the normalized true value in your dataset after confirming the coding scheme, for example where the flag equals 1 or 'Y'. If the field is sparsely populated, coalesce only after validating that missing values represent unknown rather than false, and join to related vendor organization factor fields only when you need broader foreign-entity context.
SQL Examples
Preview values
SELECT
content__award__vendor__vendorSiteDetails__vendorOrganizationFactors__isForeignOwnedAndLocated AS is_foreign_owned_and_located
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorOrganizationFactors__isForeignOwnedAndLocated IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__award__vendor__vendorSiteDetails__vendorOrganizationFactors__isForeignOwnedAndLocated AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__award__vendor__vendorSiteDetails__vendorOrganizationFactors__isForeignOwnedAndLocated 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.