# All Employees: Retail Trade — Boston-Cambridge-Newton, MA-NH (NSA)

All Employees: Retail Trade — Boston-Cambridge-Newton, MA-NH (NSA) was down 1.6% year on year in September 2026, compared with −1.7% in August 2026.
The level stood at 222.4 thousands.
Over the past ten years it has ranged from −24.1% (Apr 2020) to 23.2% (Apr 2021), averaging −1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-14460.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-boston-cambridge-newton-ma-nh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 222.4 thousands | −1.6 |
| August 2026 | 226.4 thousands | −1.7 |
| July 2026 | 227.9 thousands | −1.0 |
| June 2026 | 228.7 thousands | −0.8 |
| May 2026 | 226.0 thousands | −1.1 |
| April 2026 | 224.5 thousands | −1.3 |
| March 2026 | 223.6 thousands | −2.4 |
| February 2026 | 222.2 thousands | −2.5 |
| January 2026 | 226.3 thousands | −2.9 |
| December 2025 | 233.8 thousands | −2.5 |
| November 2025 | 231.6 thousands | −2.2 |
| October 2025 | 227.8 thousands | −1.9 |
| September 2025 | 226.0 thousands | −2.4 |
| August 2025 | 230.2 thousands | −2.3 |
| July 2025 | 230.3 thousands | −1.9 |
| June 2025 | 230.6 thousands | −2.3 |
| May 2025 | 228.4 thousands | −1.9 |
| April 2025 | 227.4 thousands | −1.3 |
| March 2025 | 229.0 thousands | −1.1 |
| February 2025 | 227.8 thousands | −1.4 |
| January 2025 | 233.0 thousands | −0.8 |
| December 2024 | 239.9 thousands | −1.5 |
| November 2024 | 236.9 thousands | −1.2 |
| October 2024 | 232.2 thousands | −1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-14460.PAYEMS.M.NSA.IND-42000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-14460.PAYEMS.M.NSA.IND-42000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```