Is Foreign Government
Boolean or coded indicator showing whether the vendor is a foreign government. It identifies vendor site records where the vendor business type is classified as a foreign government rather than a commercial entity or domestic government organization.
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
- Exclude or isolate foreign-government vendors in award universe definitions
- Support compliance and policy reviews for non-domestic counterparties
- Segment vendor populations by ownership or sovereign status
Common Mistakes
- Assuming null means false without checking the dataset's coding conventions
- Using the flag as a proxy for foreign-owned commercial vendors
Query Guidance
Use explicit comparisons against the true code used in your extract, for example WHERE isForeignGovernment = 1 or = 'Y' after validating the observed encoding. Do not infer meaning from text casing or non-null values; if the field is part of a coded pair, join or select the paired description only when a human-readable label is needed.
SQL Examples
Preview values
SELECT
content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorBusinessTypes__isForeignGovernment AS is_foreign_government
FROM fpds.data
WHERE content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorBusinessTypes__isForeignGovernment IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorBusinessTypes__isForeignGovernment AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorBusinessTypes__isForeignGovernment 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.