# All Employees: Local Government — Los Angeles-Long Beach-Anaheim, CA (NSA)

All Employees: Local Government — Los Angeles-Long Beach-Anaheim, CA (NSA) was down 0.6% year on year in September 2026, compared with 2.6% in August 2026.
The level stood at 553.4 thousands.
Over the past ten years it has ranged from −9.6% (Mar 2021) to 4.8% (Aug 2021), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-31080.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-los-angeles-long-beach-anaheim-ca-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 553.4 thousands | −0.6 |
| August 2026 | 549.6 thousands | 2.6 |
| July 2026 | 522.9 thousands | −2.8 |
| June 2026 | 567.7 thousands | −2.4 |
| May 2026 | 571.3 thousands | −2.2 |
| April 2026 | 570.7 thousands | −2.1 |
| March 2026 | 569.6 thousands | −1.9 |
| February 2026 | 565.2 thousands | −1.6 |
| January 2026 | 559.1 thousands | −2.4 |
| December 2025 | 565.3 thousands | −1.9 |
| November 2025 | 564.8 thousands | −2.0 |
| October 2025 | 562.3 thousands | −1.6 |
| September 2025 | 556.9 thousands | −1.3 |
| August 2025 | 535.9 thousands | −0.09 |
| July 2025 | 537.9 thousands | 1.5 |
| June 2025 | 581.8 thousands | 1.7 |
| May 2025 | 584.3 thousands | 1.3 |
| April 2025 | 583.0 thousands | 1.3 |
| March 2025 | 580.8 thousands | 1.6 |
| February 2025 | 574.1 thousands | 1.6 |
| January 2025 | 572.8 thousands | 2.1 |
| December 2024 | 576.1 thousands | 2.0 |
| November 2024 | 576.2 thousands | 2.3 |
| October 2024 | 571.7 thousands | 2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-31080.PAYEMS.M.NSA.IND-90930000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-31080.PAYEMS.M.NSA.IND-90930000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```