# United States All employees, thousands, shoe retailers, seasonally adjusted

United States All employees, thousands, shoe retailers, seasonally adjusted was down 0.9% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 171.5 thousands.
That is the lowest reading since March 2025.
Over the past ten years it has ranged from −46.0% (Apr 2020) to 54.3% (May 2021), averaging −1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42458200`
- 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-shoe-retailers-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 171.5 thousands | −0.9 |
| August 2026 | 173.8 thousands | 0.2 |
| July 2026 | 173.9 thousands | 0.4 |
| June 2026 | 174.6 thousands | 0.9 |
| May 2026 | 173.7 thousands | 1.2 |
| April 2026 | 173.3 thousands | 1.2 |
| March 2026 | 173.2 thousands | 2.2 |
| February 2026 | 171.8 thousands | 1.1 |
| January 2026 | 170.8 thousands | 0.8 |
| December 2025 | 174.1 thousands | 2.8 |
| November 2025 | 174.9 thousands | 5.5 |
| October 2025 | 173.9 thousands | 5.5 |
| September 2025 | 173.0 thousands | 3.0 |
| August 2025 | 173.4 thousands | 3.5 |
| July 2025 | 173.2 thousands | 1.7 |
| June 2025 | 173.0 thousands | 4.3 |
| May 2025 | 171.6 thousands | 0.9 |
| April 2025 | 171.3 thousands | 1.4 |
| March 2025 | 169.5 thousands | −1.5 |
| February 2025 | 169.9 thousands | −3.3 |
| January 2025 | 169.4 thousands | −2.1 |
| December 2024 | 169.4 thousands | 0.8 |
| November 2024 | 165.8 thousands | −2.9 |
| October 2024 | 164.9 thousands | −5.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42458200"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42458200",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```