Larry Silverstein
Profile Summary
Larry Silverstein is a U.S. real estate figure based in New York, born in 1931. He has an estimated net worth of ~$1.0B RTB.
Business & SEC Activity
Silverstein's listed industry is real estate.
Philanthropy
The Silverstein Foundation for GBA Research, based in New York, reported $1,782,205 in grants paid in tax year 2023, with $320,724 in assets, $625,714 in revenue, and $1,782,655 in expenses ProPublica 990. A separate Pennsylvania-based Silverstein Foundation record reports $0 in grants paid, assets, revenue, and expenses ProPublica 990.
Political Activity
FEC records show at least 100 federal contributions in the most recent 100-record sample, totaling $217,998.04 from March 28, 2022 through May 6, 2026; the FEC reports 573 contributions overall, but the amounts and dates here cover only the sampled records FEC. The sample's party breakdown was $108,223.04 to Unknown, $98,650 to Democratic recipients, $6,600 to Democratic–Farmer–Labor recipients, and $4,525 to Republican recipients FEC. The largest listed recipients in the sample were DCCC ($42,100), Nancy Pelosi Victory Fund ($35,000), Empire State Victory Fund ($16,600), New York Majority Fund ($10,000), and Jeffries Victory Fund ($10,000) FEC.
These donations are matched to this person by name only, so some may belong to a different person with the same name: FEC filings can include a donor's employer and city, but our matching does not check them against what we know about this person.
U.S. Presence
Philanthropy
Foundations are matched to a person by name, not by trustee records — so a same-surname family foundation can land here in error. Every entity below links to its full IRS filing; if one doesn’t belong, tell us at hello@skylarkcreations.com and we’ll pull it.
Political Contributions
These figures cover the 100 most recent of 573 federal contributions on file, not the full record. The total, party split, top recipients and dates below are all computed over that sample, so each is a floor rather than a complete figure.
By Party (in the sample)
Every party in this sample is listed here. The bars are rounded for display; unrounded they total exactly $217,998.04.
Top Recipients (in the sample)
Matched by name only. These donations are matched to this person by name only, so some may belong to a different person with the same name: FEC filings can include a donor's employer and city, but our matching does not check them against what we know about this person.
Score Breakdown
The giving score is a weighted average of 2 components. The formula is open and versioned — the weight percentages below show how much each component contributes to the final score.
Evidenced charitable giving — built on what they actually give each year, not parked assets. Dominated by generosity (annual giving relative to net worth — the share of your fortune you give), plus the absolute scale of that giving, plus a small nudge for signing the Giving Pledge (a commitment, not a realized action).
Data: ProPublica 990 charitable disbursements, net worth, The Giving Pledge registry
How much sourced public record we hold about this person — net worth, SEC filings, foundation 990s, news coverage, Wikidata. It measures our coverage, not how open the person is. Each further kind of record scores higher, up to eight. Political donation records matched to a person by name alone are not counted: they may belong to someone else with the same name. From October 7, 2026, our own AI-written summary and the profile photo are not counted either — neither is a public record — so grades that leaned on them moved down that day.
Data: SEC EDGAR, ProPublica 990s, GDELT / NewsAPI, Wikidata
Formula (v2): Giving score = 65% x Philanthropy + 35% x Data coverage
Scored on 10/16/2026 on a 0–100 scale. The score uses only the signals we have populated data for. Goal Impact, Controversy, and Community Approval are deferred until that data exists — Phase 1 goal adoption, controversy detection, and community votes respectively.
All data is sourced from public records. Each section links to its original source.