# All Employees: Retail Trade — Worcester, MA (NSA)

All Employees: Retail Trade — Worcester, MA (NSA) was down 2.5% year on year in September 2026, compared with −1.6% in August 2026.
The level stood at 35.60 thousands.
That is the lowest reading since February 2021.
Over the past ten years it has ranged from −21.1% (Apr 2020) to 23.0% (Apr 2021), averaging −0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-49340.PAYEMS.M.NSA.IND-42000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-retail-trade-worcester-ma-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 35.60 thousands | −2.5 |
| August 2026 | 36.30 thousands | −1.6 |
| July 2026 | 36.30 thousands | −1.1 |
| June 2026 | 36.80 thousands | −0.5 |
| May 2026 | 36.50 thousands | −0.3 |
| April 2026 | 36.20 thousands | −0.5 |
| March 2026 | 36.00 thousands | −2.2 |
| February 2026 | 35.80 thousands | −2.2 |
| January 2026 | 36.50 thousands | −1.6 |
| December 2025 | 37.50 thousands | 0.0 |
| November 2025 | 37.20 thousands | −0.5 |
| October 2025 | 36.70 thousands | −0.3 |
| September 2025 | 36.50 thousands | −0.5 |
| August 2025 | 36.90 thousands | −0.5 |
| July 2025 | 36.70 thousands | −0.8 |
| June 2025 | 37.00 thousands | −1.1 |
| May 2025 | 36.60 thousands | −1.3 |
| April 2025 | 36.40 thousands | −0.8 |
| March 2025 | 36.80 thousands | −0.5 |
| February 2025 | 36.60 thousands | −0.5 |
| January 2025 | 37.10 thousands | −0.8 |
| December 2024 | 37.50 thousands | −2.3 |
| November 2024 | 37.40 thousands | −1.8 |
| October 2024 | 36.80 thousands | −1.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-49340.PAYEMS.M.NSA.IND-42000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-49340.PAYEMS.M.NSA.IND-42000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```