Is Self Certified Hub Zone Joint Venture
Boolean or coded flag indicating whether the vendor is identified as a self-certified HUBZone joint venture in the contract record. It captures the certification status associated with the vendor site details for this 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
- Identify awards involving self-certified HUBZone joint ventures
- Segment awards by socioeconomic certification status
- Support compliance and supplier diversity reporting
Common Mistakes
- Assuming 0 always means no instead of checking the dataset's actual coding scheme
- Using this field alone without reviewing related HUBZone certification fields
Query Guidance
Use this field as a boolean filter in WHERE clauses, but first confirm whether the dataset stores values as 1/0, Y/N, or another code. For example, filter for the affirmative value only, and exclude nulls or ambiguous codes when counting certified entities.
SQL Examples
Preview values
SELECT
content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorCertifications__isSelfCertifiedHUBZoneJointVenture AS is_self_certified_hub_zone_joint_venture
FROM fpds.data
WHERE content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorCertifications__isSelfCertifiedHUBZoneJointVenture IS NOT NULL
LIMIT 25
Flag distribution
SELECT
content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorCertifications__isSelfCertifiedHUBZoneJointVenture AS flag_value,
count() AS record_count
FROM fpds.data
WHERE content__OtherTransactionAward__contractDetail__vendor__vendorSiteDetails__vendorCertifications__isSelfCertifiedHUBZoneJointVenture 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.