# All Employees: Private Service Providing — Cape Coral-Fort Myers, FL (NSA)

All Employees: Private Service Providing — Cape Coral-Fort Myers, FL (NSA) was up 2.5% year on year in September 2026, compared with 1.8% in August 2026.
The level stood at 233.8 thousands.
Over the past ten years it has ranged from −18.8% (Apr 2020) to 22.7% (Apr 2021), averaging 2.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-15980.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-cape-coral-fort-myers-fl-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 233.8 thousands | 2.5 |
| August 2026 | 233.6 thousands | 1.8 |
| July 2026 | 233.2 thousands | 1.8 |
| June 2026 | 233.9 thousands | 1.3 |
| May 2026 | 235.5 thousands | 0.04 |
| April 2026 | 237.2 thousands | −0.5 |
| March 2026 | 236.6 thousands | −0.9 |
| February 2026 | 235.5 thousands | −1.1 |
| January 2026 | 233.0 thousands | −1.2 |
| December 2025 | 234.8 thousands | −0.8 |
| November 2025 | 233.7 thousands | −0.5 |
| October 2025 | 231.2 thousands | 9.9 |
| September 2025 | 228.0 thousands | 7.6 |
| August 2025 | 229.4 thousands | 8.1 |
| July 2025 | 229.1 thousands | 8.2 |
| June 2025 | 230.8 thousands | 8.1 |
| May 2025 | 235.4 thousands | 8.7 |
| April 2025 | 238.4 thousands | 8.9 |
| March 2025 | 238.8 thousands | 8.8 |
| February 2025 | 238.2 thousands | 8.9 |
| January 2025 | 235.8 thousands | 9.1 |
| December 2024 | 236.7 thousands | 8.8 |
| November 2024 | 234.8 thousands | 8.4 |
| October 2024 | 210.3 thousands | −1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-15980.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-15980.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
