# United States All employees, thousands, used merchandise retailers, seasonally adjusted

United States All employees, thousands, used merchandise retailers, seasonally adjusted was up 3.8% year on year in September 2026, compared with 4.0% in August 2026.
The level stood at 221.9 thousands.
Over the past ten years it has ranged from −52.9% (Apr 2020) to 104.6% (Apr 2021), averaging 2.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42459500`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-used-merchandise-retailers-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 221.9 thousands | 3.8 |
| August 2026 | 222.0 thousands | 4.0 |
| July 2026 | 219.9 thousands | 3.1 |
| June 2026 | 219.3 thousands | 3.1 |
| May 2026 | 217.8 thousands | 2.1 |
| April 2026 | 217.4 thousands | 1.6 |
| March 2026 | 217.3 thousands | 1.9 |
| February 2026 | 216.6 thousands | 1.4 |
| January 2026 | 216.1 thousands | 1.4 |
| December 2025 | 217.1 thousands | 2.1 |
| November 2025 | 216.5 thousands | 2.1 |
| October 2025 | 215.1 thousands | 1.9 |
| September 2025 | 213.8 thousands | 1.1 |
| August 2025 | 213.5 thousands | 1.3 |
| July 2025 | 213.2 thousands | 0.8 |
| June 2025 | 212.7 thousands | 1.2 |
| May 2025 | 213.4 thousands | 1.0 |
| April 2025 | 214.0 thousands | 1.4 |
| March 2025 | 213.3 thousands | 1.1 |
| February 2025 | 213.6 thousands | 1.8 |
| January 2025 | 213.1 thousands | 1.6 |
| December 2024 | 212.6 thousands | 2.1 |
| November 2024 | 212.1 thousands | 1.6 |
| October 2024 | 211.0 thousands | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42459500"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42459500",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```