# All Employees: Durable Goods — Norwich-New London-Willimantic, CT (NSA)

All Employees: Durable Goods — Norwich-New London-Willimantic, CT (NSA) was up 7.7% year on year in September 2026, compared with 6.0% in August 2026.
The level stood at 19.50 thousands.
That is the highest reading since June 2024.
Over the past ten years it has ranged from −5.5% (Apr 2020) to 11.1% (May 2024), averaging 3.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35980.PAYEMS.M.NSA.IND-31000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-durable-goods-norwich-new-london-willimantic-ct-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 19.50 thousands | 7.7 |
| August 2026 | 19.30 thousands | 6.0 |
| July 2026 | 19.30 thousands | 5.5 |
| June 2026 | 19.10 thousands | 4.9 |
| May 2026 | 18.70 thousands | 4.5 |
| April 2026 | 18.60 thousands | 3.3 |
| March 2026 | 18.50 thousands | 2.2 |
| February 2026 | 18.40 thousands | 1.1 |
| January 2026 | 18.30 thousands | −0.5 |
| December 2025 | 18.20 thousands | −1.1 |
| November 2025 | 18.20 thousands | −1.1 |
| October 2025 | 18.10 thousands | −1.6 |
| September 2025 | 18.10 thousands | −1.6 |
| August 2025 | 18.20 thousands | −1.6 |
| July 2025 | 18.30 thousands | −0.5 |
| June 2025 | 18.20 thousands | 0.0 |
| May 2025 | 17.90 thousands | −0.6 |
| April 2025 | 18.00 thousands | 1.1 |
| March 2025 | 18.10 thousands | 1.7 |
| February 2025 | 18.20 thousands | 2.2 |
| January 2025 | 18.40 thousands | 4.0 |
| December 2024 | 18.40 thousands | 4.0 |
| November 2024 | 18.40 thousands | 5.1 |
| October 2024 | 18.40 thousands | 5.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35980.PAYEMS.M.NSA.IND-31000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35980.PAYEMS.M.NSA.IND-31000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```