For organisers

Pull the data straight into your spreadsheet.

Every sheet on this page is public-safe and regenerates with each build. Download a one-off copy, or paste a live formula into Google Sheets so your copy updates whenever the project refreshes. Start with the donor-to-recipient sheet to see which candidates these donors fund.

To use a live link in Google Sheets: open a new sheet, click an empty cell, then paste the formula shown under each download. The data loads automatically and refreshes on its own.

Before you use this

These sheets describe public Federal Election Commission filings: where disclosed political money landed. They do not assert that any individual is affiliated with any organisation, nor that any giving was coordinated. The pattern to read is shared preference, which candidate or seat the money follows, not a machine.

Locations are de-identified to city and the first three ZIP digits, with a coarse map centre only. There are no street addresses, no full ZIP codes, and no exact contribution dates: giving is reported by election cycle. Gifts that add up to less than $1,000 per donor, recipient, and cycle are left out.

Do not use this data for solicitation or commercial targeting.
Do not re-identify, contact, or profile any individual from it.
Workbook leads are unverified; never publish a person from them.
Cite the FEC source and link back to the methodology.

The sheets

4 public-safe sheets, each answering one plain question.

Donor to recipient

Start here

Which candidates and committees these donors fund.

One row per donor, recipient, and election cycle, with the total amount given. This is the sheet to start with: filter by recipient_name to see who funded a given candidate, or filter india_caucus to true to see giving to Congressional India Caucus members. Amounts under $1,000 (once added up per donor, recipient, and cycle) are left out so no small, identifying gift is exposed.

download CSV

Google Sheets formula

=IMPORTDATA("https://fec-donors-analysis.vercel.app/data/partner_update_donor_recipient.csv")

Summary

The headline numbers behind the whole project.

A short list of project-level metrics: how many donors and recipients are in the public build, how many federal contribution records were used, and a few build timestamps. Use it to sanity-check totals before quoting any figure.

download CSV

Google Sheets formula

=IMPORTDATA("https://fec-donors-analysis.vercel.app/data/partner_update_summary.csv")

Network communities

Loose clusters of donors and recipients that tend to appear together.

Mixed donor and recipient communities from the network layer. A community is a statistical grouping, not an organisation or an affiliation. Groupings reshuffle from cycle to cycle, so read them as shared preference, not a fixed structure.

download CSV

Google Sheets formula

=IMPORTDATA("https://fec-donors-analysis.vercel.app/data/partner_update_network_communities.csv")

Recipient hubs

The recipients that the most donors in this cohort gave to.

Recipients ranked by how central they are in the donor-recipient graph. A hub is a popular destination for money; it is not an influence or coordination claim.

download CSV

Google Sheets formula

=IMPORTDATA("https://fec-donors-analysis.vercel.app/data/partner_update_recipient_hubs.csv")

One link for everything

Prefer a single starting point? The index sheet lists every file above with its download link and ready-to-paste formula, so you can build a workbook with one tab per sheet.

download index CSVRead the methodology