OpenFeds

📈 Analysis

In-depth analysis of the federal workforce — key findings, risk assessments, brain drain trends, and spending patterns.

Key Findings

🏆

Major insights and discoveries

Risk Scores

Agency vulnerability assessment

Brain Drain Index

🧠

Who is really leaving

Retirement Cliff

Aging workforce risk analysis

Geographic Impact

🗺️

Where federal jobs are concentrated

Monthly Timeline

📅

Month-by-month workforce changes

Federal Bloat

🏛️

Federal workforce size and efficiency

Salary Analysis

💵

Deep pay pattern analysis

Agency Spending

💰

Budget per employee by agency

STEM Workforce

🔬

Technical workforce analysis

Salary Explorer

🔎

Interactive pay lookup tool

Demographics

2M+

Age, gender, and veteran statistics

Education & Pay

🎓

How degrees affect federal salaries

Occupations

540+

Every federal job series analyzed

Workforce Trends

5yr

Employment changes over time

State Impact

🗺️

Geographic effects of cuts

Appointments

📋

Hiring types and patterns

Occupation Impact

👷

Which jobs are most at risk

Who Got Cut

🔎

Detailed reduction breakdown

Redundant Agencies

🔄

Overlapping agencies doing the same job

Contractors vs Feds

👥

Which workforce actually costs more?

Political Appointees

🏛️

The 4,000 people who run the government

Firing Federal Workers

🔒

Why it takes 170+ days to fire a fed

The $110B Myth

💸

What DOGE actually saved vs what they claim

Where Grants Went

🌍

$49B in terminated grants analyzed

Black September

125K

The month 125,000 federal workers left

Follow the Money

📊

Who lost $61B in contracts

Tribal Impact

🪶

$1.77B in tribal grants eliminated

University Funding

🎓

4,011 research grants terminated

Small Contract Theater

🎭

8,000 cuts that saved almost nothing

Payment Analysis

🔍

Inside 107K federal payment justifications

Brain Drain Cost

🧠

The hidden cost of losing 217K workers

Agency Scorecard

📝

Grading every agency's DOGE cuts