# All Employees: Professional, Scientific, and Technical Services — Frederick-Gaithersburg-Bethesda, MD Metropolitan Division (NSA)

All Employees: Professional, Scientific, and Technical Services — Frederick-Gaithersburg-Bethesda, MD Metropolitan Division (NSA) was up 1.2% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 81.90 thousands.
That is the highest reading since June 2023.
Over the past ten years it has ranged from −7.3% (Nov 2025) to 7.1% (Apr 2021), averaging 0.03%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-23224.PAYEMS.M.NSA.IND-60540000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-scientific-and-technical-services-frederick

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 81.90 thousands | 1.2 |
| August 2026 | 82.90 thousands | 0.2 |
| July 2026 | 82.80 thousands | −1.0 |
| June 2026 | 81.30 thousands | −2.3 |
| May 2026 | 81.20 thousands | −3.3 |
| April 2026 | 81.10 thousands | −4.5 |
| March 2026 | 80.40 thousands | −5.9 |
| February 2026 | 81.30 thousands | −5.8 |
| January 2026 | 80.70 thousands | −7.1 |
| December 2025 | 81.10 thousands | −7.3 |
| November 2025 | 81.10 thousands | −7.3 |
| October 2025 | 81.90 thousands | −6.8 |
| September 2025 | 80.90 thousands | −7.2 |
| August 2025 | 82.70 thousands | −6.1 |
| July 2025 | 83.60 thousands | −6.0 |
| June 2025 | 83.20 thousands | −5.8 |
| May 2025 | 84.00 thousands | −5.0 |
| April 2025 | 84.90 thousands | −4.9 |
| March 2025 | 85.40 thousands | −4.5 |
| February 2025 | 86.30 thousands | −4.2 |
| January 2025 | 86.90 thousands | −3.7 |
| December 2024 | 87.50 thousands | −3.0 |
| November 2024 | 87.50 thousands | −3.2 |
| October 2024 | 87.90 thousands | −3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-23224.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-23224.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```