# All Employees: State Government — San Francisco-Oakland-Fremont, CA (NSA)

All Employees: State Government — San Francisco-Oakland-Fremont, CA (NSA) was up 7.8% year on year in September 2026, compared with 7.9% in August 2026.
The level stood at 91.70 thousands.
Over the past ten years it has ranged from −5.4% (Dec 2025) to 8.9% (Jan 2022), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41860.PAYEMS.M.NSA.IND-90920000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-state-government-san-francisco-oakland-fremont-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 91.70 thousands | 7.8 |
| August 2026 | 89.90 thousands | 7.9 |
| July 2026 | 89.60 thousands | −0.2 |
| June 2026 | 91.70 thousands | −1.6 |
| May 2026 | 92.20 thousands | −1.4 |
| April 2026 | 91.70 thousands | −3.3 |
| March 2026 | 90.60 thousands | −2.9 |
| February 2026 | 88.40 thousands | −2.1 |
| January 2026 | 87.70 thousands | −5.2 |
| December 2025 | 88.50 thousands | −5.4 |
| November 2025 | 87.80 thousands | −5.0 |
| October 2025 | 86.10 thousands | −3.9 |
| September 2025 | 85.10 thousands | −3.5 |
| August 2025 | 83.30 thousands | −2.5 |
| July 2025 | 89.80 thousands | −2.3 |
| June 2025 | 93.20 thousands | −1.1 |
| May 2025 | 93.50 thousands | −0.2 |
| April 2025 | 94.80 thousands | 0.9 |
| March 2025 | 93.30 thousands | 0.9 |
| February 2025 | 90.30 thousands | 0.1 |
| January 2025 | 92.50 thousands | 2.3 |
| December 2024 | 93.60 thousands | 2.7 |
| November 2024 | 92.40 thousands | 2.1 |
| October 2024 | 89.60 thousands | 5.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41860.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41860.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```