Congressional district

Massachusetts's 7th District

Where federal work lands. Inferred district figures are inferred from place-of-performance addresses.

FY2026 ended Sep 30 · data still posting · data as of 2026-11-01†

† DoD contract data posts to USAspending about 90 days after award.

Part of Massachusetts

$5.8B
Work performed here
FY2026 · data still posting
20
Recipients
The Charles Stark Draper Laboratory, In…
Top recipient

In FY2026, federal awards worth $5.8B were performed in MA-07, Massachusetts's 7th District, by 20 recipients. The largest recipient with work in the district was The Charles Stark Draper Laboratory, Inc., at $609.7M. Its figures are inferred from place-of-performance addresses, and the district is represented by Ayanna Pressley (D). FY2026 ended Sep 30 and its data is still posting. Inferred

Obligations by year

Computed
$7.4B
FY20
$13B
FY21
$6.3B
FY22
$5.3B
FY23
$7B
FY24
$5.8B
FY25
$5.8B
FY26 partial
▼ 22%
FY20 to FY25

Top federal award recipients with work here

The Charles Stark Draper Laboratory, Inc.$609.7M
Boston Housing Authority$599M
Brigham & Womens Hospital Inc$380.7M
Trustees of Boston University$348M
Massachusetts Institute of Technology$305M
President and Fellows of Harvard College$294.8M
Noble Supply & Logistics, LLC$293.2M
Children's Hospital Corporation, the$267.2M
Dana-Farber Cancer Institute, Inc.$188.3M
The General Hospital Corporation$183.5M

Recipient breakdown available for 72% of obligations shown

Inferred inferred from each recipient’s place-of-performance in this district: the recipients we track, not every organization here.

Representation

Spending here is geographic context, not funding directed by these members.

Related

Why the labels? The graph is only worth anything if the links are trusted. Facts taken straight from a federal filing are Source; figures we calculate are Computed; links we infer (corporate parents, districts, similar contractors, connections between records) are Inferred, worded carefully, never asserted as fact and never a claim that one thing caused another. Spot an error? Tell us.