# All Employees: State Government Excluding Education — San Luis Obispo-Paso Robles, CA (NSA)

All Employees: State Government Excluding Education — San Luis Obispo-Paso Robles, CA (NSA) was up 1.9% year on year in September 2026, compared with 1.9% in August 2026.
The level stood at 5.50 thousands.
Over the past ten years it has ranged from −3.7% (Jan 2024) to 3.8% (Jan 2025), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-42020.PAYEMS.M.NSA.IND-90922000`
- 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-excluding-education-san-luis-obispo-paso

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5.50 thousands | 1.9 |
| August 2026 | 5.50 thousands | 1.9 |
| July 2026 | 5.50 thousands | 1.9 |
| June 2026 | 5.40 thousands | 0.0 |
| May 2026 | 5.40 thousands | 0.0 |
| April 2026 | 5.40 thousands | 0.0 |
| March 2026 | 5.40 thousands | 0.0 |
| February 2026 | 5.40 thousands | 0.0 |
| January 2026 | 5.40 thousands | 0.0 |
| December 2025 | 5.30 thousands | 0.0 |
| November 2025 | 5.40 thousands | 0.0 |
| October 2025 | 5.40 thousands | 0.0 |
| September 2025 | 5.40 thousands | 0.0 |
| August 2025 | 5.40 thousands | 0.0 |
| July 2025 | 5.40 thousands | 0.0 |
| June 2025 | 5.40 thousands | 0.0 |
| May 2025 | 5.40 thousands | 0.0 |
| April 2025 | 5.40 thousands | 0.0 |
| March 2025 | 5.40 thousands | 3.8 |
| February 2025 | 5.40 thousands | 1.9 |
| January 2025 | 5.40 thousands | 3.8 |
| December 2024 | 5.30 thousands | 0.0 |
| November 2024 | 5.40 thousands | 0.0 |
| October 2024 | 5.40 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-42020.PAYEMS.M.NSA.IND-90922000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-42020.PAYEMS.M.NSA.IND-90922000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```