# All Employees: Professional, Scientific, and Technical Services — Hartford-West Hartford-East Hartford, CT (NSA)

All Employees: Professional, Scientific, and Technical Services — Hartford-West Hartford-East Hartford, CT (NSA) was down 2.1% year on year in September 2026, compared with −4.4% in August 2026.
The level stood at 37.50 thousands.
Over the past ten years it has ranged from −5.6% (Jan 2021) to 5.3% (Sep 2022), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25540.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-hartford

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 37.50 thousands | −2.1 |
| August 2026 | 37.20 thousands | −4.4 |
| July 2026 | 37.80 thousands | −3.3 |
| June 2026 | 37.70 thousands | −2.8 |
| May 2026 | 37.60 thousands | −2.8 |
| April 2026 | 38.40 thousands | −1.8 |
| March 2026 | 37.90 thousands | −2.3 |
| February 2026 | 38.10 thousands | −2.3 |
| January 2026 | 38.40 thousands | −1.3 |
| December 2025 | 38.00 thousands | −1.6 |
| November 2025 | 38.30 thousands | −1.3 |
| October 2025 | 38.50 thousands | 0.8 |
| September 2025 | 38.30 thousands | 1.3 |
| August 2025 | 38.90 thousands | 1.6 |
| July 2025 | 39.10 thousands | 2.1 |
| June 2025 | 38.80 thousands | 1.8 |
| May 2025 | 38.70 thousands | 2.9 |
| April 2025 | 39.10 thousands | 3.7 |
| March 2025 | 38.80 thousands | 4.6 |
| February 2025 | 39.00 thousands | 4.8 |
| January 2025 | 38.90 thousands | 4.9 |
| December 2024 | 38.60 thousands | 3.5 |
| November 2024 | 38.80 thousands | 4.3 |
| October 2024 | 38.20 thousands | 3.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-25540.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-25540.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```