The latest data from the Federal Reserve (FRED) shows Us Unemployment at 4.4% — ▲ 0.10% from the previous period. Here's what the numbers actually mean, and how to access them programmatically.
📊 Recent Trend
| Month | Unemployment Rate |
|---|---|
| 2025-07 | 4.3% |
| 2025-08 | 4.3% |
| 2025-09 | 4.4% |
| 2025-11 | 4.5% |
| 2025-12 | 4.4% |
| 2026-01 | 4.3% |
| 2026-02 | 4.4% |
🔍 What This Means
1. Context matters
A single data point rarely tells the full story. Looking at the 12-month trend reveals whether we're seeing a temporary blip or a structural shift. The data above shows the gradual movement over recent months.
2. Watch the broader indicators
The headline number is just one piece of the puzzle. Cross-referencing with related indicators gives a more complete picture of what's really happening in the economy.
3. Data-driven decisions
Whether you're a developer building financial tools, a researcher tracking trends, or a business making strategic decisions — having clean, structured access to this data makes all the difference.
📈 All Key Indicators
| Indicator | Latest | Change |
|---|---|---|
| Unemployment Rate | 4.4% | ▲ 0.10% |
| U6 Rate | 7.9% | ▼ 0.20% |
| Youth Unemployment | 14.9 | ▲ 1.30 |
| Longterm Unemployment | 4.5 | ▲ 0.16 |
💻 Access the Data as a Developer
Pull this data directly via API in seconds:
import requests
url = "https://us-unemployment-api.vercel.app/summary"
response = requests.get(url, params={"limit": 12})
data = response.json()
for entry in data["data"]["unemployment_rate"]:
print(entry["date"], entry["value"])
Output:
2026-02-01 4.4
2026-01-01 4.3
2025-12-01 4.4
2025-11-01 4.5
...
Available Endpoints
| Endpoint | Description |
|---|---|
/summary |
Key indicators overview |
/current |
Latest reading only |
/history |
Full historical series |
Pricing
| Plan | Price | Requests/month |
|---|---|---|
| BASIC | Free | 100 |
| PRO | $9/mo | 10,000 |
| ULTRA | $29/mo | 50,000 |
Data source: FRED (Federal Reserve Bank of St. Louis). Updated daily. Built with GlobalData Store API.
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