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

All Employees: Total Nonfarm — Hartford-West Hartford-East Hartford, CT (NSA) was up 1.0% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 626.2 thousands.
That is the highest reading since June 2025.
Over the past ten years it has ranged from −15.3% (Apr 2020) to 11.5% (Apr 2021), averaging 0.3%.

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

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 626.2 thousands | 1.0 |
| August 2026 | 615.1 thousands | 0.9 |
| July 2026 | 618.3 thousands | 0.9 |
| June 2026 | 628.0 thousands | 0.6 |
| May 2026 | 626.6 thousands | 0.6 |
| April 2026 | 621.5 thousands | 0.10 |
| March 2026 | 614.7 thousands | −0.3 |
| February 2026 | 613.4 thousands | −0.2 |
| January 2026 | 614.3 thousands | −0.07 |
| December 2025 | 626.1 thousands | 0.4 |
| November 2025 | 628.3 thousands | 0.4 |
| October 2025 | 624.8 thousands | 0.6 |
| September 2025 | 619.9 thousands | 0.6 |
| August 2025 | 609.5 thousands | 0.6 |
| July 2025 | 612.6 thousands | 0.7 |
| June 2025 | 624.3 thousands | 1.0 |
| May 2025 | 623.1 thousands | 1.0 |
| April 2025 | 620.9 thousands | 1.9 |
| March 2025 | 616.5 thousands | 1.8 |
| February 2025 | 614.4 thousands | 1.8 |
| January 2025 | 614.7 thousands | 2.1 |
| December 2024 | 623.3 thousands | 1.0 |
| November 2024 | 625.7 thousands | 1.1 |
| October 2024 | 621.2 thousands | 0.9 |

## API

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

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