# All Employees: Professional, Scientific, and Technical Services — Miami-Miami Beach-Kendall, FL Metropolitan Division (NSA)

All Employees: Professional, Scientific, and Technical Services — Miami-Miami Beach-Kendall, FL Metropolitan Division (NSA) was up 5.1% year on year in September 2026, compared with 5.6% in August 2026.
The level stood at 121.0 thousands.
Over the past ten years it has ranged from −3.9% (Apr 2020) to 12.2% (Sep 2022), averaging 4.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-33124.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 2005-01-01 to 2026-09-01 (261 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-miami

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 121.0 thousands | 5.1 |
| August 2026 | 121.8 thousands | 5.6 |
| July 2026 | 121.8 thousands | 4.7 |
| June 2026 | 121.1 thousands | 4.3 |
| May 2026 | 120.6 thousands | 3.5 |
| April 2026 | 121.2 thousands | 3.9 |
| March 2026 | 119.5 thousands | 3.0 |
| February 2026 | 120.0 thousands | 3.8 |
| January 2026 | 116.6 thousands | 1.5 |
| December 2025 | 116.6 thousands | 1.7 |
| November 2025 | 116.2 thousands | 0.9 |
| October 2025 | 116.8 thousands | 2.5 |
| September 2025 | 115.1 thousands | 2.2 |
| August 2025 | 115.3 thousands | 2.3 |
| July 2025 | 116.3 thousands | 3.2 |
| June 2025 | 116.1 thousands | 3.6 |
| May 2025 | 116.5 thousands | 3.8 |
| April 2025 | 116.6 thousands | 3.8 |
| March 2025 | 116.0 thousands | 3.6 |
| February 2025 | 115.6 thousands | 3.1 |
| January 2025 | 114.9 thousands | 3.3 |
| December 2024 | 114.7 thousands | 2.0 |
| November 2024 | 115.2 thousands | 2.6 |
| October 2024 | 113.9 thousands | 1.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-33124.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-33124.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```