# All Employees: Local Government — Jacksonville, FL (NSA)

All Employees: Local Government — Jacksonville, FL (NSA) was up 1.1% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 47.10 thousands.
That is the highest reading since January 2025.
Over the past ten years it has ranged from −7.0% (Aug 2020) to 7.1% (Aug 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-27260.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-jacksonville-fl-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 47.10 thousands | 1.1 |
| August 2026 | 46.10 thousands | 0.4 |
| July 2026 | 42.50 thousands | 0.2 |
| June 2026 | 42.90 thousands | −0.2 |
| May 2026 | 47.30 thousands | −0.6 |
| April 2026 | 47.00 thousands | −0.8 |
| March 2026 | 47.00 thousands | −0.6 |
| February 2026 | 47.00 thousands | −0.6 |
| January 2026 | 46.90 thousands | −0.2 |
| December 2025 | 46.80 thousands | −0.2 |
| November 2025 | 46.90 thousands | −1.3 |
| October 2025 | 46.70 thousands | −0.4 |
| September 2025 | 46.60 thousands | −1.9 |
| August 2025 | 45.90 thousands | −1.1 |
| July 2025 | 42.40 thousands | −0.7 |
| June 2025 | 43.00 thousands | −0.5 |
| May 2025 | 47.60 thousands | 0.4 |
| April 2025 | 47.40 thousands | 0.4 |
| March 2025 | 47.30 thousands | 0.6 |
| February 2025 | 47.30 thousands | 1.1 |
| January 2025 | 47.00 thousands | 1.3 |
| December 2024 | 46.90 thousands | 0.6 |
| November 2024 | 47.50 thousands | 1.9 |
| October 2024 | 46.90 thousands | 0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-27260.PAYEMS.M.NSA.IND-90930000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-27260.PAYEMS.M.NSA.IND-90930000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```