# United States All employees, thousands, activities related to real estate, seasonally adjusted

United States All employees, thousands, activities related to real estate, seasonally adjusted was up 1.2% year on year in September 2026, compared with 1.3% in August 2026.
The level stood at 856.8 thousands.
Over the past ten years it has ranged from −1.8% (Feb 2021) to 5.6% (Apr 2022), averaging 2.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-55531300`
- 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-activities-related-to-real-estate-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 856.8 thousands | 1.2 |
| August 2026 | 856.6 thousands | 1.3 |
| July 2026 | 856.6 thousands | 1.2 |
| June 2026 | 849.6 thousands | 0.3 |
| May 2026 | 852.0 thousands | 0.7 |
| April 2026 | 851.1 thousands | 0.9 |
| March 2026 | 851.5 thousands | 0.9 |
| February 2026 | 850.4 thousands | 0.7 |
| January 2026 | 847.3 thousands | 0.2 |
| December 2025 | 853.1 thousands | 1.5 |
| November 2025 | 850.5 thousands | 1.3 |
| October 2025 | 849.0 thousands | 1.2 |
| September 2025 | 846.9 thousands | 0.9 |
| August 2025 | 845.4 thousands | 0.9 |
| July 2025 | 846.1 thousands | 1.1 |
| June 2025 | 846.7 thousands | 1.6 |
| May 2025 | 845.8 thousands | 1.6 |
| April 2025 | 843.6 thousands | 1.8 |
| March 2025 | 843.7 thousands | 1.7 |
| February 2025 | 844.2 thousands | 2.0 |
| January 2025 | 845.2 thousands | 2.0 |
| December 2024 | 840.8 thousands | 1.4 |
| November 2024 | 839.6 thousands | 1.7 |
| October 2024 | 839.1 thousands | 2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-55531300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-55531300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```