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

United States All employees, thousands, furniture retailers, seasonally adjusted was down 3.9% year on year in September 2026, compared with −3.5% in August 2026.
The level stood at 177.7 thousands.
Over the past ten years it has ranged from −37.5% (Apr 2020) to 53.6% (Apr 2021), averaging −1.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42449110`
- 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-furniture-retailers-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 177.7 thousands | −3.9 |
| August 2026 | 179.0 thousands | −3.5 |
| July 2026 | 179.4 thousands | −4.3 |
| June 2026 | 179.9 thousands | −4.4 |
| May 2026 | 180.5 thousands | −4.8 |
| April 2026 | 180.8 thousands | −5.0 |
| March 2026 | 179.9 thousands | −6.1 |
| February 2026 | 181.3 thousands | −5.8 |
| January 2026 | 183.4 thousands | −4.9 |
| December 2025 | 183.4 thousands | −6.0 |
| November 2025 | 185.3 thousands | −5.0 |
| October 2025 | 183.1 thousands | −6.2 |
| September 2025 | 184.9 thousands | −5.4 |
| August 2025 | 185.5 thousands | −5.8 |
| July 2025 | 187.4 thousands | −5.0 |
| June 2025 | 188.1 thousands | −5.2 |
| May 2025 | 189.6 thousands | −4.9 |
| April 2025 | 190.4 thousands | −5.2 |
| March 2025 | 191.6 thousands | −5.1 |
| February 2025 | 192.4 thousands | −5.3 |
| January 2025 | 192.9 thousands | −7.6 |
| December 2024 | 195.1 thousands | −6.5 |
| November 2024 | 195.1 thousands | −6.8 |
| October 2024 | 195.3 thousands | −7.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42449110"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42449110",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```