# All Employees: State Government — San Diego-Chula Vista-Carlsbad, CA (NSA)

All Employees: State Government — San Diego-Chula Vista-Carlsbad, CA (NSA) was down 2.9% year on year in September 2026, compared with −2.8% in August 2026.
The level stood at 57.00 thousands.
Over the past ten years it has ranged from −7.7% (Jun 2020) to 15.1% (Jan 2022), averaging 2.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41740.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-diego-chula-vista-carlsbad-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 57.00 thousands | −2.9 |
| August 2026 | 55.60 thousands | −2.8 |
| July 2026 | 59.60 thousands | −2.9 |
| June 2026 | 62.90 thousands | −3.4 |
| May 2026 | 63.20 thousands | −3.5 |
| April 2026 | 63.00 thousands | −4.0 |
| March 2026 | 61.60 thousands | −3.9 |
| February 2026 | 60.10 thousands | −3.7 |
| January 2026 | 61.20 thousands | −3.9 |
| December 2025 | 62.00 thousands | −4.0 |
| November 2025 | 61.40 thousands | −4.1 |
| October 2025 | 59.60 thousands | −3.9 |
| September 2025 | 58.70 thousands | −3.9 |
| August 2025 | 57.20 thousands | −1.5 |
| July 2025 | 61.40 thousands | −1.3 |
| June 2025 | 65.10 thousands | 3.0 |
| May 2025 | 65.50 thousands | 3.6 |
| April 2025 | 65.60 thousands | 4.1 |
| March 2025 | 64.10 thousands | 4.9 |
| February 2025 | 62.40 thousands | 4.2 |
| January 2025 | 63.70 thousands | 5.6 |
| December 2024 | 64.60 thousands | 6.2 |
| November 2024 | 64.00 thousands | 6.0 |
| October 2024 | 62.00 thousands | 10.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41740.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41740.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```