# All Employees: Telecommunications — Fort Lauderdale-Pompano Beach-Sunrise, FL Metropolitan Division (NSA)

All Employees: Telecommunications — Fort Lauderdale-Pompano Beach-Sunrise, FL Metropolitan Division (NSA) was up 0.0% year on year in September 2026, compared with 0.0% in August 2026.
The level stood at 5.30 thousands.
Over the past ten years it has ranged from −8.3% (Dec 2024) to 7.0% (Feb 2023), averaging −1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-22744.PAYEMS.M.NSA.IND-50517000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-telecommunications-fort-lauderdale-pompano-beach-sunrise

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5.30 thousands | 0.0 |
| August 2026 | 5.30 thousands | 0.0 |
| July 2026 | 5.30 thousands | −1.9 |
| June 2026 | 5.40 thousands | 0.0 |
| May 2026 | 5.30 thousands | −3.6 |
| April 2026 | 5.40 thousands | −1.8 |
| March 2026 | 5.30 thousands | −3.6 |
| February 2026 | 5.40 thousands | −1.8 |
| January 2026 | 5.40 thousands | −1.8 |
| December 2025 | 5.40 thousands | −1.8 |
| November 2025 | 5.30 thousands | −5.4 |
| October 2025 | 5.30 thousands | −7.0 |
| September 2025 | 5.30 thousands | −7.0 |
| August 2025 | 5.30 thousands | −7.0 |
| July 2025 | 5.40 thousands | −5.3 |
| June 2025 | 5.40 thousands | −6.9 |
| May 2025 | 5.50 thousands | −6.8 |
| April 2025 | 5.50 thousands | −6.8 |
| March 2025 | 5.50 thousands | −8.3 |
| February 2025 | 5.50 thousands | −8.3 |
| January 2025 | 5.50 thousands | −8.3 |
| December 2024 | 5.50 thousands | −8.3 |
| November 2024 | 5.60 thousands | −5.1 |
| October 2024 | 5.70 thousands | −3.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-22744.PAYEMS.M.NSA.IND-50517000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-22744.PAYEMS.M.NSA.IND-50517000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```