Purpose

The first technical goal of this project is to identify reliable public datasets, download or collect them, clean them, and eventually turn them into charts, summaries, and policy-relevant evidence.

This page organizes the main data sources that may support the Wealth Reform Project. Later, each source can have a collector script, notes about access, and examples of useful charts or reports.

View Source Inventory

Federal Reserve DFA

Distributional Financial Accounts data on household wealth distribution, assets, liabilities, and wealth shares.

Status: Source identified. Collector not yet built.

View Source Explanation

FRED

Economic time series including inflation, wages, interest rates, unemployment, GDP, housing, and related indicators.

Status: Public API available.

View Source Explanation

Bureau of Labor Statistics

Labor, employment, wages, inflation, occupational data, and price indexes.

Status: Public API available.

View Source Explanation

Census Bureau

Income, poverty, housing, demographics, geographic, and household data.

Status: Public datasets and APIs available.

View Source Explanation

FEC / OpenSecrets

Campaign finance, political donations, PACs, lobbying, and influence data.

Status: Source review needed.

View Source Explanation

World Inequality Database

International data on income and wealth inequality, useful for comparing the United States with other countries over time.

Status: Source review needed.

View Source Explanation

Housing Data

Housing prices, rents, affordability, mortgage rates, ownership, and regional cost pressure.

Status: Candidate sources being collected.

View Source Explanation

Planned Collector Workflow

Each data collector should eventually follow the same basic pattern:

  1. Identify the official source.
  2. Record whether the source uses an API, CSV download, spreadsheet, or manual report.
  3. Download or retrieve the raw data.
  4. Save a raw copy before modifying anything.
  5. Clean the data into a simpler format.
  6. Document the date, source, fields, and limitations.
  7. Use the cleaned data for charts, summaries, and proposal analysis.