# All Employees: Computer Systems Design and Related Services — FL (statewide) (NSA)

All Employees: Computer Systems Design and Related Services — FL (statewide) (NSA) was up 7.0% year on year in September 2026, compared with 5.4% in August 2026.
The level stood at 145.5 thousands.
Over the past ten years it has ranged from −1.8% (Sep 2025) to 13.8% (Apr 2022), averaging 5.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.PAYEMS.M.NSA.IND-60541500`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-computer-systems-design-and-related-services-fl-statewide

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 145.5 thousands | 7.0 |
| August 2026 | 146.1 thousands | 5.4 |
| July 2026 | 147.6 thousands | 6.7 |
| June 2026 | 146.5 thousands | 7.7 |
| May 2026 | 143.8 thousands | 3.7 |
| April 2026 | 144.1 thousands | 3.4 |
| March 2026 | 142.1 thousands | 3.0 |
| February 2026 | 140.1 thousands | 0.07 |
| January 2026 | 138.7 thousands | −1.0 |
| December 2025 | 140.7 thousands | 1.4 |
| November 2025 | 137.9 thousands | −1.8 |
| October 2025 | 138.9 thousands | −0.9 |
| September 2025 | 136.0 thousands | −1.8 |
| August 2025 | 138.6 thousands | −0.9 |
| July 2025 | 138.3 thousands | −0.9 |
| June 2025 | 136.0 thousands | −1.0 |
| May 2025 | 138.7 thousands | −0.4 |
| April 2025 | 139.3 thousands | −0.3 |
| March 2025 | 138.0 thousands | 0.0 |
| February 2025 | 140.0 thousands | 0.4 |
| January 2025 | 140.1 thousands | 0.6 |
| December 2024 | 138.8 thousands | 0.2 |
| November 2024 | 140.4 thousands | 0.4 |
| October 2024 | 140.1 thousands | 0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-FL.PAYEMS.M.NSA.IND-60541500"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-FL.PAYEMS.M.NSA.IND-60541500",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```