# All Employees: Government — CA (statewide) (NSA)

All Employees: Government — CA (statewide) (NSA) was up 0.9% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 2,652.2 thousands.
That is the highest reading since July 2025.
Over the past ten years it has ranged from −7.6% (Feb 2021) to 3.7% (Mar 2022), averaging 0.7%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,652.2 thousands | 0.9 |
| August 2026 | 2,592.4 thousands | 0.8 |
| July 2026 | 2,530.3 thousands | −1.4 |
| June 2026 | 2,702.9 thousands | −1.7 |
| May 2026 | 2,723.2 thousands | −1.5 |
| April 2026 | 2,713.1 thousands | −1.8 |
| March 2026 | 2,707.6 thousands | −1.7 |
| February 2026 | 2,677.2 thousands | −1.7 |
| January 2026 | 2,661.1 thousands | −2.7 |
| December 2025 | 2,685.8 thousands | −1.9 |
| November 2025 | 2,693.0 thousands | −2.0 |
| October 2025 | 2,673.1 thousands | −1.9 |
| September 2025 | 2,628.0 thousands | −1.7 |
| August 2025 | 2,570.7 thousands | −0.2 |
| July 2025 | 2,565.0 thousands | 0.9 |
| June 2025 | 2,749.5 thousands | 1.1 |
| May 2025 | 2,765.7 thousands | 1.2 |
| April 2025 | 2,762.0 thousands | 1.6 |
| March 2025 | 2,753.6 thousands | 1.7 |
| February 2025 | 2,722.9 thousands | 1.8 |
| January 2025 | 2,735.2 thousands | 2.8 |
| December 2024 | 2,736.7 thousands | 2.2 |
| November 2024 | 2,747.4 thousands | 2.6 |
| October 2024 | 2,723.7 thousands | 3.4 |

## API

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

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