# All Employees: Federal Government — Wilmington, DE-MD-NJ Metropolitan Division (NSA)

All Employees: Federal Government — Wilmington, DE-MD-NJ Metropolitan Division (NSA) was down 2.7% year on year in September 2026, compared with −4.0% in August 2026.
The level stood at 7.30 thousands.
Over the past ten years it has ranged from −6.5% (Aug 2021) to 14.5% (Oct 2023), averaging 3.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-48864.PAYEMS.M.NSA.IND-90910000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-federal-government-wilmington-de-md-nj-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 7.30 thousands | −2.7 |
| August 2026 | 7.20 thousands | −4.0 |
| July 2026 | 7.30 thousands | −2.7 |
| June 2026 | 7.30 thousands | −1.4 |
| May 2026 | 7.20 thousands | −4.0 |
| April 2026 | 7.20 thousands | −5.3 |
| March 2026 | 7.30 thousands | −3.9 |
| February 2026 | 7.30 thousands | −3.9 |
| January 2026 | 7.20 thousands | −5.3 |
| December 2025 | 7.30 thousands | −5.2 |
| November 2025 | 7.30 thousands | −3.9 |
| October 2025 | 7.30 thousands | −3.9 |
| September 2025 | 7.50 thousands | 0.0 |
| August 2025 | 7.50 thousands | 0.0 |
| July 2025 | 7.50 thousands | 0.0 |
| June 2025 | 7.40 thousands | −1.3 |
| May 2025 | 7.50 thousands | 1.4 |
| April 2025 | 7.60 thousands | 2.7 |
| March 2025 | 7.60 thousands | 2.7 |
| February 2025 | 7.60 thousands | 2.7 |
| January 2025 | 7.60 thousands | 4.1 |
| December 2024 | 7.70 thousands | 5.5 |
| November 2024 | 7.60 thousands | 5.6 |
| October 2024 | 7.60 thousands | 7.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-48864.PAYEMS.M.NSA.IND-90910000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-48864.PAYEMS.M.NSA.IND-90910000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
