# All Employees: Federal Government — SC (statewide) (SA)

All Employees: Federal Government — SC (statewide) (SA) was down 4.0% year on year in September 2026, compared with −4.3% in August 2026.
The level stood at 35.70 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −10.4% (Aug 2021) to 13.6% (Aug 2020), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-SC.PAYEMS.M.SA.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-sc-statewide-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 35.70 thousands | −4.0 |
| August 2026 | 35.80 thousands | −4.3 |
| July 2026 | 35.70 thousands | −4.8 |
| June 2026 | 35.80 thousands | −4.8 |
| May 2026 | 35.70 thousands | −5.3 |
| April 2026 | 35.50 thousands | −6.6 |
| March 2026 | 35.50 thousands | −6.8 |
| February 2026 | 35.60 thousands | −7.0 |
| January 2026 | 35.50 thousands | −8.0 |
| December 2025 | 35.50 thousands | −7.6 |
| November 2025 | 35.60 thousands | −7.0 |
| October 2025 | 35.50 thousands | −7.1 |
| September 2025 | 37.20 thousands | −2.6 |
| August 2025 | 37.40 thousands | −1.8 |
| July 2025 | 37.50 thousands | −0.8 |
| June 2025 | 37.60 thousands | −1.1 |
| May 2025 | 37.70 thousands | −0.3 |
| April 2025 | 38.00 thousands | 1.1 |
| March 2025 | 38.10 thousands | 1.3 |
| February 2025 | 38.30 thousands | 2.4 |
| January 2025 | 38.60 thousands | 3.5 |
| December 2024 | 38.40 thousands | 3.8 |
| November 2024 | 38.30 thousands | 3.8 |
| October 2024 | 38.20 thousands | 3.0 |

## API

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

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