Lisa Blunt Rochester
Democrat
· DE Senate · 119th Congress
Senate Committee on Commerce (Chair) · and Fisheries (Chair) · Senate Committee on Health (Chair) · House Committee on Energy and Commerce · Senate Committee on Banking · and Urban Affairs · and Community Development · and Investment · and Transportation · and Data Privacy · and Competitiveness · Senate Committee on Environment and Public Works · Waste Management · Environmental Justice · and Regulatory Oversight · and Nuclear Innovation and Safety · and Pensions
Influence Score
76.2
Highly exposed
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This score measures financial influence across twelve categories. Each bar shows how this member compares to all others in Congress. Longer bars mean more exposure.
Score breakdown — twelve categories
Contributionsmoney from PACs (political action committees) and individual donors
6.2
/ 12
Outside spendingmoney spent by groups to help elect them
0.3
/ 6
Spent to help elect them
$30,780
Outside groups that spent to help elect this member — this drives the outside-spending bar above
Lobbyinghow hard lobbyists push the committees this member sits on
8.0
/ 10
Revolving door
former staff now working as lobbyists
0.0
/ 3
Vote alignmenthow often they vote the way their donors want
7.6
/ 12
Contribution timingmoney arriving near key votes
3.6
/ 6
Stock tradesbuying stocks in industries they regulate
0.0
/ 1
Dark moneyfunding from groups that hide their donors
< 0.1
/ 2
Outbound money distributionmoney this member sends out to the party and to colleagues
11.4
/ 16
Cluster network breadthhow many coordinated funding networks back this member
8.1
/ 10
Committee jurisdiction powerthe legislative reach of the committees this member sits on
5.3
/ 10
Foreign interestforeign-interest money — Israel-policy PACs and FARA-registered institutional lobbying allocated by committee jurisdiction
10.4
/ 12
Israel-policy PACs behind this score
JSTREETPAC
$5,145 direct
FARA institutional lobbying
This member’s committees are targeted by $67.32M in lobbying from FARA-registered firms representing South Korea, Japan, Saudi Arabia. This exposure is weighted at 0.2% of face value in the score — $135K.
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Score across four congresses
Score and tier for each Congress. Members are ranked against others in the same Congress, so tiers are comparable across rows. Raw scores reflect different data availability per Congress.
| Congress | Score | Tier |
|---|---|---|
| 116th · 2019-2021 | 62.9 | Moderately exposed |
| 117th · 2021-2023 | 70.2 | Highly exposed |
| 118th · 2023-2025 | 71.5 | Highly exposed |
| 119th · 2025-2027 | 76.2 | Highly exposed |
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Biggest funding source
The single network behind the most money and influence
Total money from this network
$51,000
Number of funding networks contributing
1
— ◊ —
Where most of the money comes from
What share of their combined contributions and outside spending comes from a single network. Party committees are excluded.
Share from this one network
1.1%
Amount from this network
$25,500
Total from all networks
$2,293,368
Networks contributing
471
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Who funds Rochester
Every funding network we can measure, ranked by influence
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Does the money match their power?
Whether their money comes from the industries their committees actually oversee
Money from industries they regulate
97.5%
Extra weight when money matches their committees
2.00×
Share of outside spending tied to their policy areas
95.9%
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Money timed to key votes
Donations arriving near key votes in the policy areas this member regulates
Times money arrived near a vote
72
Money that arrived near votes
$199K
Distinct donors
92
Distinct employers
50
Share of their total fundraising
2.95%
Biggest clusters of timed money
1ST FINANCIAL BANK USA
$7K
7WIREVENTURES
$7K
AMERICAN EXPRESS NATIONAL BANK
$7K
ARIEL INVESTMENTS
$7K
BAIN CAPITAL
$7K
GLYNN CAPITAL MANAGEMENT
$7K
JANE STREET CAPITAL
$7K
KLEIN FINANCIAL
$7K
KLEINER PERKINS
$7K
LONE PINE CAPITAL
$7K
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Top Donors
Biggest sources of contributions, grouped by employer, this cycle
YOUNG CONAWAY STARGATT TAYLOR LLP
$45K
KKR
$29K
SALLIE MAE
$24K
COMCAST
$20K
CORNERSTONE GOVERNMENT AFFAIRS
$19K
CAPITOL COUNSEL
$19K
BLOOM ENERGY
$18K
MIDLANTIC UROLOGY
$17K
INVARIANT GR
$16K
TIBER CREEK
$15K
THEGROUP DC
$15K
STATE OF DELAWARE
$15K
THE DASCHLE
$14K
LIVE NATION ENTERTAINMENT
$13K
ANALYSIS
$13K
BAD ROBOT PRODUCTIONS
$13K
BAIN CAPITAL
$13K
MICROSOFT
$13K
THE UROLOGY
$12K
ON-TARGET SUPPLIES LOGISTICS
$12K
Where the outside money comes from
How much of the outside spending for and against Lisa Blunt Rochester comes from groups that disclose their donors versus groups that hide them
Total outside spending received
$24K
Disclosed outside spending
$23K
Dark-money outside spending
$178
Share that is dark money
0.76%
Dark money tied to their policy areas
$178
Groups hiding their donors
1
By funding network
SEIU COPE (SERVICE EMPLOYEES INTERNATIONAL UNION COMMITTEE ON POLITICAL EDUCATION)
$28K
FIRST STATE STRONG FEC
$2K
LCV VICTORY FUND
$179
GLOBAL DIASPORA PAC INCORPORATED; THE
$91
SIERRA CLUB INDEPENDENT ACTION
$10
Groups that hide their donors
1 smaller group under $500
$178
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Pro-Israel network donors
This counts contributions to this member from individuals whose FEC filings also show contributions to one of the 16 pro-Israel political action committees tracked by the Index. It is a measure of donor overlap — not a claim about why any individual gave, and not part of the influence score.
73 individuals who also gave to pro-Israel PACs contributed $1.51M to Lisa Blunt Rochester across 96 contributions.
Total from shared contributors
$1.51M
Shared contributors
73
Contributions
96
By cycle
| Cycle | Shared donors | Gifts | Total |
|---|---|---|---|
| 2024 | 70 | 92 | $1.51M |
| 2026 | 4 | 4 | $5K |
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Lisa Blunt Rochester's file shows clear influence markers across multiple categories for the top funding network, placing them in the upper range of this Congress. The pattern runs above what coincidence would produce, and the methodology page documents what each category requires.
Data: FEC (Federal Election Commission) filings · 118th–119th Congress · lobbying disclosures · VoteView recorded votes
All findings derived programmatically from public records · No prior knowledge required
All findings derived programmatically from public records · No prior knowledge required