# All Employees: Local Government — San Jose-Sunnyvale-Santa Clara, CA (NSA)

All Employees: Local Government — San Jose-Sunnyvale-Santa Clara, CA (NSA) was down 0.2% year on year in September 2026, compared with −0.5% in August 2026.
The level stood at 83.60 thousands.
Over the past ten years it has ranged from −9.4% (Feb 2021) to 5.2% (Mar 2022), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41940.PAYEMS.M.NSA.IND-90930000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-san-jose-sunnyvale-santa-clara-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 83.60 thousands | −0.2 |
| August 2026 | 81.70 thousands | −0.5 |
| July 2026 | 81.60 thousands | −0.4 |
| June 2026 | 86.70 thousands | 0.0 |
| May 2026 | 87.30 thousands | 0.7 |
| April 2026 | 86.30 thousands | 0.5 |
| March 2026 | 85.80 thousands | 0.9 |
| February 2026 | 85.40 thousands | 1.4 |
| January 2026 | 84.60 thousands | 1.0 |
| December 2025 | 85.90 thousands | 1.2 |
| November 2025 | 85.90 thousands | 0.6 |
| October 2025 | 85.80 thousands | 0.7 |
| September 2025 | 83.80 thousands | 1.0 |
| August 2025 | 82.10 thousands | 2.1 |
| July 2025 | 81.90 thousands | 4.6 |
| June 2025 | 86.70 thousands | 3.8 |
| May 2025 | 86.70 thousands | 2.7 |
| April 2025 | 85.90 thousands | 2.5 |
| March 2025 | 85.00 thousands | 1.3 |
| February 2025 | 84.20 thousands | 1.0 |
| January 2025 | 83.80 thousands | 1.3 |
| December 2024 | 84.90 thousands | 1.6 |
| November 2024 | 85.40 thousands | 2.2 |
| October 2024 | 85.20 thousands | 2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41940.PAYEMS.M.NSA.IND-90930000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41940.PAYEMS.M.NSA.IND-90930000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```