# United States All employees, thousands, furniture and home furnishings retailers, not seasonally adjusted

United States All employees, thousands, furniture and home furnishings retailers, not seasonally adjusted was down 1.1% year on year in October 2026, compared with −2.3% in September 2026.
The level stood at 389.3 thousands.
That is the highest reading since May 2022.
Over the past ten years it has ranged from −44.9% (Apr 2020) to 70.8% (Apr 2021), averaging −1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-42449100`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-10-01 (442 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-furniture-and-home-furnishings-retailers-not

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 389.3 thousands | −1.1 |
| September 2026 | 379.4 thousands | −2.3 |
| August 2026 | 381.7 thousands | −1.3 |
| July 2026 | 382.3 thousands | −1.7 |
| June 2026 | 381.6 thousands | −2.3 |
| May 2026 | 382.1 thousands | −2.6 |
| April 2026 | 385.2 thousands | −2.7 |
| March 2026 | 388.2 thousands | −3.0 |
| February 2026 | 389.3 thousands | −2.8 |
| January 2026 | 395.7 thousands | −2.6 |
| December 2025 | 406.6 thousands | −3.1 |
| November 2025 | 402.7 thousands | −2.3 |
| October 2025 | 393.5 thousands | −2.7 |
| September 2025 | 388.3 thousands | −2.9 |
| August 2025 | 386.9 thousands | −2.5 |
| July 2025 | 389.1 thousands | −1.6 |
| June 2025 | 390.4 thousands | −2.1 |
| May 2025 | 392.1 thousands | −2.1 |
| April 2025 | 395.8 thousands | −2.3 |
| March 2025 | 400.2 thousands | −2.3 |
| February 2025 | 400.5 thousands | −3.2 |
| January 2025 | 406.3 thousands | −3.5 |
| December 2024 | 419.8 thousands | −3.6 |
| November 2024 | 412.3 thousands | −4.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42449100"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-42449100",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```