# All Employees: Federal Government — MS (statewide) (NSA)

All Employees: Federal Government — MS (statewide) (NSA) was down 6.5% year on year in September 2026, compared with −7.2% in August 2026.
The level stood at 24.60 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −10.5% (Jan 2026) to 10.0% (Aug 2020), averaging −0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MS.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-ms-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 24.60 thousands | −6.5 |
| August 2026 | 24.50 thousands | −7.2 |
| July 2026 | 24.60 thousands | −7.9 |
| June 2026 | 24.40 thousands | −8.6 |
| May 2026 | 24.40 thousands | −9.0 |
| April 2026 | 24.30 thousands | −10.0 |
| March 2026 | 24.40 thousands | −10.0 |
| February 2026 | 24.70 thousands | −9.5 |
| January 2026 | 24.60 thousands | −10.5 |
| December 2025 | 24.90 thousands | −10.1 |
| November 2025 | 24.90 thousands | −9.5 |
| October 2025 | 24.90 thousands | −9.1 |
| September 2025 | 26.30 thousands | −4.0 |
| August 2025 | 26.40 thousands | −3.6 |
| July 2025 | 26.70 thousands | −2.9 |
| June 2025 | 26.70 thousands | −2.9 |
| May 2025 | 26.80 thousands | −2.2 |
| April 2025 | 27.00 thousands | −1.5 |
| March 2025 | 27.10 thousands | −0.7 |
| February 2025 | 27.30 thousands | 0.4 |
| January 2025 | 27.50 thousands | 1.5 |
| December 2024 | 27.70 thousands | 1.8 |
| November 2024 | 27.50 thousands | 2.6 |
| October 2024 | 27.40 thousands | 2.2 |

## API

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

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