# All Employees: Local Government excluding Educational Services — LA (statewide) (NSA)

All Employees: Local Government excluding Educational Services — LA (statewide) (NSA) was up 2.0% year on year in September 2026, compared with 1.7% in August 2026.
The level stood at 104.2 thousands.
Over the past ten years it has ranged from −9.7% (Jun 2020) to 3.6% (Apr 2026), averaging −0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-LA.PAYEMS.M.NSA.IND-90932000`
- 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-excluding-educational-services-la

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 104.2 thousands | 2.0 |
| August 2026 | 104.9 thousands | 1.7 |
| July 2026 | 106.7 thousands | 1.7 |
| June 2026 | 106.1 thousands | 1.4 |
| May 2026 | 105.5 thousands | 3.4 |
| April 2026 | 105.1 thousands | 3.6 |
| March 2026 | 103.1 thousands | 2.0 |
| February 2026 | 103.0 thousands | 1.9 |
| January 2026 | 102.9 thousands | 2.1 |
| December 2025 | 101.9 thousands | 1.9 |
| November 2025 | 103.0 thousands | 1.9 |
| October 2025 | 103.3 thousands | 1.9 |
| September 2025 | 102.2 thousands | 2.0 |
| August 2025 | 103.1 thousands | 1.6 |
| July 2025 | 104.9 thousands | 2.6 |
| June 2025 | 104.6 thousands | 2.5 |
| May 2025 | 102.0 thousands | 0.3 |
| April 2025 | 101.4 thousands | 0.5 |
| March 2025 | 101.1 thousands | 2.4 |
| February 2025 | 101.1 thousands | 2.2 |
| January 2025 | 100.8 thousands | 2.2 |
| December 2024 | 100.0 thousands | 1.3 |
| November 2024 | 101.1 thousands | 1.7 |
| October 2024 | 101.4 thousands | 1.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-90932000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-LA.PAYEMS.M.NSA.IND-90932000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
