# All Employees: Total Nonfarm — Hartford-West Hartford-East Hartford, CT (SA)

All Employees: Total Nonfarm — Hartford-West Hartford-East Hartford, CT (SA) was up 1.0% year on year in September 2026, compared with 0.7% in August 2026.
The level stood at 624.1 thousands.
That is the highest reading since June 2025.
Over the past ten years it has ranged from −15.2% (Apr 2020) to 11.4% (Apr 2021), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-25540.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-hartford-west-hartford-east-hartford-ct-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 624.1 thousands | 1.0 |
| August 2026 | 622.1 thousands | 0.7 |
| July 2026 | 622.3 thousands | 0.7 |
| June 2026 | 623.4 thousands | 0.6 |
| May 2026 | 622.9 thousands | 0.6 |
| April 2026 | 622.3 thousands | 0.02 |
| March 2026 | 619.7 thousands | −0.1 |
| February 2026 | 619.5 thousands | −0.05 |
| January 2026 | 620.8 thousands | −0.2 |
| December 2025 | 620.5 thousands | 0.6 |
| November 2025 | 620.3 thousands | 0.5 |
| October 2025 | 619.7 thousands | 0.6 |
| September 2025 | 618.1 thousands | 0.6 |
| August 2025 | 617.6 thousands | 0.6 |
| July 2025 | 618.1 thousands | 0.7 |
| June 2025 | 619.5 thousands | 1.0 |
| May 2025 | 618.9 thousands | 0.9 |
| April 2025 | 622.2 thousands | 1.8 |
| March 2025 | 620.4 thousands | 1.8 |
| February 2025 | 619.8 thousands | 1.8 |
| January 2025 | 622.0 thousands | 2.1 |
| December 2024 | 616.5 thousands | 1.1 |
| November 2024 | 617.2 thousands | 1.2 |
| October 2024 | 615.8 thousands | 0.9 |

## API

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

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