Total Base and All Options Value
Numeric amount representing the total value of the IDV at award, including the base amount plus all potential option amounts. It is a contract-level ceiling-style value reported in FPDS for indefinite delivery vehicles.
FPDS Compare
Use Cases
- Dictionary lookup and field explanation
- SQL filtering and grouping
- Analytical reporting and reusable query building
- Spending aggregation and trend analysis
Common Usage
- Sizing the maximum reported value of IDV awards
- Ranking contracts by potential dollar exposure
- Trend analysis of award values over time
Common Mistakes
- Using it as a proxy for obligated spend
- Comparing it directly to base-only or task-order obligation fields without noting scope differences
Query Guidance
Use the field as a numeric measure in aggregations, filters, and percentile calculations, and exclude nulls or zeros only when analytically justified. When comparing awards, pair it with award date, agency, and IDV identifiers; do not sum across related versions of the same award without deduplication or record-level filtering.
SQL Examples
Preview values
SELECT
content__IDV__totalDollarValues__totalBaseAndAllOptionsValue AS total_base_and_all_options_value
FROM fpds.data
WHERE content__IDV__totalDollarValues__totalBaseAndAllOptionsValue IS NOT NULL
LIMIT 25
Aggregate total
SELECT
sum(content__IDV__totalDollarValues__totalBaseAndAllOptionsValue) AS total_value
FROM fpds.data
WHERE content__IDV__totalDollarValues__totalBaseAndAllOptionsValue IS NOT NULL
Distribution overview
SELECT
min(content__IDV__totalDollarValues__totalBaseAndAllOptionsValue) AS min_value,
avg(content__IDV__totalDollarValues__totalBaseAndAllOptionsValue) AS avg_value,
max(content__IDV__totalDollarValues__totalBaseAndAllOptionsValue) AS max_value,
count() AS record_count
FROM fpds.data
WHERE content__IDV__totalDollarValues__totalBaseAndAllOptionsValue IS NOT NULL
Each dictionary item includes SQL-ready examples generated alongside the variable metadata, allowing immediate use in FPDS Query for filtering, aggregation, and analysis.