# All Employees: Architectural, Engineering, and Related Services — FL (statewide) (NSA)

All Employees: Architectural, Engineering, and Related Services — FL (statewide) (NSA) was up 1.5% year on year in September 2026, compared with 1.5% in August 2026.
The level stood at 114.6 thousands.
Over the past ten years it has ranged from −0.3% (Nov 2025) to 7.3% (Oct 2022), averaging 3.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.PAYEMS.M.NSA.IND-60541300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-architectural-engineering-and-related-services-fl

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 114.6 thousands | 1.5 |
| August 2026 | 115.7 thousands | 1.5 |
| July 2026 | 115.0 thousands | 0.7 |
| June 2026 | 115.3 thousands | 1.1 |
| May 2026 | 115.8 thousands | 2.2 |
| April 2026 | 115.0 thousands | 2.4 |
| March 2026 | 112.8 thousands | 0.9 |
| February 2026 | 113.7 thousands | 1.4 |
| January 2026 | 113.1 thousands | 0.9 |
| December 2025 | 114.4 thousands | 0.6 |
| November 2025 | 114.2 thousands | −0.3 |
| October 2025 | 113.8 thousands | 0.7 |
| September 2025 | 112.9 thousands | 1.3 |
| August 2025 | 114.0 thousands | 1.6 |
| July 2025 | 114.2 thousands | 1.8 |
| June 2025 | 114.0 thousands | 2.2 |
| May 2025 | 113.3 thousands | 2.4 |
| April 2025 | 112.3 thousands | 2.5 |
| March 2025 | 111.8 thousands | 2.9 |
| February 2025 | 112.1 thousands | 3.0 |
| January 2025 | 112.1 thousands | 3.8 |
| December 2024 | 113.7 thousands | 4.4 |
| November 2024 | 114.5 thousands | 5.2 |
| October 2024 | 113.0 thousands | 3.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-FL.PAYEMS.M.NSA.IND-60541300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-FL.PAYEMS.M.NSA.IND-60541300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```