# United States All employees, thousands, hardware retailers, not seasonally adjusted

United States All employees, thousands, hardware retailers, not seasonally adjusted was down 0.2% year on year in September 2026, compared with 1.1% in August 2026.
The level stood at 172.1 thousands.
Over the past ten years it has ranged from −8.3% (Apr 2020) to 12.6% (Apr 2021), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-42444140`
- 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-hardware-retailers-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 172.1 thousands | −0.2 |
| August 2026 | 173.2 thousands | 1.1 |
| July 2026 | 175.0 thousands | 1.0 |
| June 2026 | 176.6 thousands | 1.4 |
| May 2026 | 176.3 thousands | 1.6 |
| April 2026 | 173.5 thousands | 0.3 |
| March 2026 | 171.9 thousands | 0.0 |
| February 2026 | 171.1 thousands | 0.2 |
| January 2026 | 170.8 thousands | −0.2 |
| December 2025 | 173.2 thousands | −0.6 |
| November 2025 | 173.3 thousands | −0.2 |
| October 2025 | 172.3 thousands | −0.9 |
| September 2025 | 172.5 thousands | −1.0 |
| August 2025 | 171.3 thousands | −3.6 |
| July 2025 | 173.2 thousands | −3.8 |
| June 2025 | 174.2 thousands | −4.5 |
| May 2025 | 173.5 thousands | −3.0 |
| April 2025 | 172.9 thousands | −2.2 |
| March 2025 | 171.9 thousands | −1.2 |
| February 2025 | 170.8 thousands | −2.2 |
| January 2025 | 171.1 thousands | −2.0 |
| December 2024 | 174.2 thousands | −0.8 |
| November 2024 | 173.7 thousands | −1.7 |
| October 2024 | 173.8 thousands | −1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42444140"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42444140",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```