Home / Agencies / Institute of Museum and Library Services
Agency page · sample · agency code 474
Institute of Museum and Library Services
Filters are query state (noindex). One canonical URL: /agencies/474-institute-of-museum-and-library-services
Observed amount in the data
$12,138,396
34 distinct awards · 38 actions · 15 recipients in this sample. FY in loaded set: 2025.
Data loaded: 2026-08-24T13:08:39Z UTC. Snapshot: 2026-08-24-part-00. First published snapshot on this URL. Loaded-set figures have not changed versus a previous snapshot because none existed.
How this agency compares
These figures are calculated, not copied from the source. They use 833150 money records in the sample. Percent vs average = (this − mean of qualified hubs) / |mean| × 100. Similar hubs = 4 nearest by log10(|obligation|) and log10(award_count). HHI = sum of squared |obligation| shares × 10,000 among recipients in this cell.
| Metric | This hub | Loaded-set average | % vs average | Similar-hub average | % vs similar |
|---|---|---|---|---|---|
| Obligation (USD) | $12,138,396 | $2,784,406,393 | -99.6% | $11,627,729 | +4.4% |
| Awards | 34 | 12802.8 | -99.7% | 70 | -51.4% |
| Recipient HHI (calculated) | 2207.6 | 1572.4 | +40.4% | 974.4 | +126.6% |
Similar hubs (similar spend / size)
- National Labor Relations Board — $11,277,930 · 55 awards · HHI 1626.1
- Millennium Challenge Corporation — $13,288,549 · 73 awards · HHI 470.6
- Government Accountability Office — $12,512,522 · 92 awards · HHI 1220.1
- U.S. International Development Finance Corporation — $9,431,915 · 60 awards · HHI 580.9
Recipients above and below this agency’s average
Vs loaded-set: below loaded-set average. Vs similar: above similar-hub average.
Good/bad here means listed recipients above/below the average obligation of recipients shown on this hub (min 3 rows). Not a performance rating of the agency. Listed-recipient average obligation (calculated on this hub’s min-3 list): $1,760,364.
Recipients above the listed average
| Recipient | UEI / id | Obligation (observed) | Rows (observed) |
|---|---|---|---|
| CAPITAL MEETING PLANNING, INC. | QH3GE55S6PA6 | $5,061,870 | 9 |
Recipients below the listed average
| Recipient | UEI / id | Obligation (observed) | Rows (observed) |
|---|---|---|---|
| MATHEMATICA INC. | UJMMR3K2CDK6 | $246,631 | 4 |
| AMERICAN INSTITUTES FOR RESEARCH IN THE BEHAVIORAL SCIENCES | MCN6J5L6M3T4 | $821,465 | 5 |
| ICF INCORPORATED, L.L.C. | QHBLBNKKV4U3 | $911,491 | 6 |
Other useful rankings
Ranked tables live on this hub URL only. Not a new URL family.
Most dollars
| Recipient | UEI / id | Obligation (observed) | Rows (observed) |
|---|---|---|---|
| CAPITAL MEETING PLANNING, INC. | QH3GE55S6PA6 | $5,061,870 | 9 |
| ICF INCORPORATED, L.L.C. | QHBLBNKKV4U3 | $911,491 | 6 |
| AMERICAN INSTITUTES FOR RESEARCH IN THE BEHAVIORAL SCIENCES | MCN6J5L6M3T4 | $821,465 | 5 |
| MATHEMATICA INC. | UJMMR3K2CDK6 | $246,631 | 4 |
Most award rows
| Recipient | UEI / id | Obligation (observed) | Rows (observed) |
|---|---|---|---|
| CAPITAL MEETING PLANNING, INC. | QH3GE55S6PA6 | $5,061,870 | 9 |
| ICF INCORPORATED, L.L.C. | QHBLBNKKV4U3 | $911,491 | 6 |
| AMERICAN INSTITUTES FOR RESEARCH IN THE BEHAVIORAL SCIENCES | MCN6J5L6M3T4 | $821,465 | 5 |
| MATHEMATICA INC. | UJMMR3K2CDK6 | $246,631 | 4 |
Largest share of listed recipients (calculated)
| Recipient | UEI / id | Obligation (observed) | Rows (observed) | Share of listed |
|---|---|---|---|---|
| CAPITAL MEETING PLANNING, INC. | QH3GE55S6PA6 | $5,061,870 | 9 | 71.89% |
| ICF INCORPORATED, L.L.C. | QHBLBNKKV4U3 | $911,491 | 6 | 12.94% |
| AMERICAN INSTITUTES FOR RESEARCH IN THE BEHAVIORAL SCIENCES | MCN6J5L6M3T4 | $821,465 | 5 | 11.67% |
| MATHEMATICA INC. | UJMMR3K2CDK6 | $246,631 | 4 | 3.5% |
Compose a report (good slice) · bad slice · PDF most-dollars
Questions this page can answer
Read the money with its boundaries intact
What does the amount represent?
It is the summed federal contract obligation observed in the labelled USAspending sample and period—not a complete government-spending total.
Who awarded and received it?
Use agency names, recipient identifiers, fiscal year and transaction counts together; names alone can merge unrelated entities.
Can two figures be compared?
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What should I check next?
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