# All Employees: Government — Washington, DC-MD Metropolitan Division (NSA)

All Employees: Government — Washington, DC-MD Metropolitan Division (NSA) was down 7.5% year on year in September 2026, compared with −6.8% in August 2026.
The level stood at 312.5 thousands.
Over the past ten years it has ranged from −9.6% (Mar 2026) to 4.2% (Jul 2021), averaging −0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-47764.PAYEMS.M.NSA.IND-90000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-government-washington-dc-md-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 312.5 thousands | −7.5 |
| August 2026 | 308.4 thousands | −6.8 |
| July 2026 | 321.9 thousands | −9.0 |
| June 2026 | 312.9 thousands | −8.8 |
| May 2026 | 311.8 thousands | −9.5 |
| April 2026 | 312.0 thousands | −9.4 |
| March 2026 | 312.7 thousands | −9.6 |
| February 2026 | 312.4 thousands | −9.4 |
| January 2026 | 312.9 thousands | −8.5 |
| December 2025 | 320.1 thousands | −7.6 |
| November 2025 | 320.6 thousands | −7.8 |
| October 2025 | 319.5 thousands | −7.8 |
| September 2025 | 337.9 thousands | −2.5 |
| August 2025 | 330.8 thousands | −2.3 |
| July 2025 | 353.7 thousands | −0.5 |
| June 2025 | 343.1 thousands | −0.5 |
| May 2025 | 344.4 thousands | −0.1 |
| April 2025 | 344.3 thousands | 0.2 |
| March 2025 | 345.9 thousands | 0.2 |
| February 2025 | 344.8 thousands | 0.1 |
| January 2025 | 341.9 thousands | −0.5 |
| December 2024 | 346.6 thousands | 1.1 |
| November 2024 | 347.9 thousands | 1.1 |
| October 2024 | 346.6 thousands | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-47764.PAYEMS.M.NSA.IND-90000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-47764.PAYEMS.M.NSA.IND-90000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```