# United States All employees, thousands, other miscellaneous retailers, not seasonally adjusted

United States All employees, thousands, other miscellaneous retailers, not seasonally adjusted was up 0.9% year on year in September 2026, compared with 0.7% in August 2026.
The level stood at 494.0 thousands.
Over the past ten years it has ranged from −10.0% (Apr 2020) to 16.6% (Apr 2021), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-42459900`
- 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-other-miscellaneous-retailers-not-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 494.0 thousands | 0.9 |
| August 2026 | 498.2 thousands | 0.7 |
| July 2026 | 501.7 thousands | 1.0 |
| June 2026 | 501.3 thousands | 1.5 |
| May 2026 | 499.5 thousands | 2.4 |
| April 2026 | 493.3 thousands | 1.6 |
| March 2026 | 486.8 thousands | 1.4 |
| February 2026 | 483.8 thousands | 1.0 |
| January 2026 | 483.6 thousands | 0.5 |
| December 2025 | 487.6 thousands | 0.2 |
| November 2025 | 491.5 thousands | 0.7 |
| October 2025 | 494.0 thousands | 0.1 |
| September 2025 | 489.7 thousands | 0.1 |
| August 2025 | 494.8 thousands | 0.6 |
| July 2025 | 496.9 thousands | 0.4 |
| June 2025 | 493.9 thousands | 0.2 |
| May 2025 | 488.0 thousands | −0.9 |
| April 2025 | 485.3 thousands | 0.4 |
| March 2025 | 480.2 thousands | 0.2 |
| February 2025 | 479.1 thousands | 1.3 |
| January 2025 | 481.1 thousands | 2.1 |
| December 2024 | 486.6 thousands | 1.3 |
| November 2024 | 488.1 thousands | 0.6 |
| October 2024 | 493.4 thousands | 1.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42459900"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42459900",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```