# United States All employees, thousands, residential remodelers, not seasonally adjusted

United States All employees, thousands, residential remodelers, not seasonally adjusted was down 0.1% year on year in September 2026, compared with −0.4% in August 2026.
The level stood at 463.4 thousands.
Over the past ten years it has ranged from −18.1% (Apr 2020) to 30.2% (Apr 2021), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-20236118`
- 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-residential-remodelers-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 463.4 thousands | −0.1 |
| August 2026 | 461.0 thousands | −0.4 |
| July 2026 | 459.0 thousands | −1.8 |
| June 2026 | 456.5 thousands | −1.7 |
| May 2026 | 454.9 thousands | −1.0 |
| April 2026 | 454.0 thousands | −0.2 |
| March 2026 | 451.3 thousands | 0.1 |
| February 2026 | 447.6 thousands | 0.1 |
| January 2026 | 448.6 thousands | 0.8 |
| December 2025 | 457.1 thousands | 0.3 |
| November 2025 | 461.6 thousands | 1.0 |
| October 2025 | 465.1 thousands | 0.4 |
| September 2025 | 463.9 thousands | 0.5 |
| August 2025 | 463.0 thousands | −0.5 |
| July 2025 | 467.3 thousands | 1.4 |
| June 2025 | 464.2 thousands | 0.5 |
| May 2025 | 459.5 thousands | 0.4 |
| April 2025 | 454.9 thousands | 0.6 |
| March 2025 | 450.7 thousands | 0.7 |
| February 2025 | 447.0 thousands | 1.1 |
| January 2025 | 444.9 thousands | 1.0 |
| December 2024 | 455.7 thousands | 0.9 |
| November 2024 | 456.9 thousands | 1.1 |
| October 2024 | 463.1 thousands | 2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-20236118"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-20236118",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```