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

United States All employees, thousands, other activities related to real estate, seasonally adjusted was up 0.4% year on year in September 2026, compared with 1.8% in August 2026.
The level stood at 96.70 thousands.
Over the past ten years it has ranged from −0.9% (Aug 2024) to 17.7% (Jul 2021), averaging 5.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-55531390`
- 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-other-activities-related-to-real-estate

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 96.70 thousands | 0.4 |
| August 2026 | 97.60 thousands | 1.8 |
| July 2026 | 97.80 thousands | 1.7 |
| June 2026 | 97.20 thousands | 2.4 |
| May 2026 | 97.20 thousands | 1.4 |
| April 2026 | 96.80 thousands | 1.4 |
| March 2026 | 96.20 thousands | 0.1 |
| February 2026 | 96.50 thousands | 0.7 |
| January 2026 | 96.20 thousands | 1.5 |
| December 2025 | 96.70 thousands | 2.9 |
| November 2025 | 97.10 thousands | 4.5 |
| October 2025 | 96.60 thousands | 5.0 |
| September 2025 | 96.30 thousands | 4.7 |
| August 2025 | 95.90 thousands | 5.4 |
| July 2025 | 96.20 thousands | 5.9 |
| June 2025 | 94.90 thousands | 4.7 |
| May 2025 | 95.90 thousands | 6.1 |
| April 2025 | 95.50 thousands | 6.7 |
| March 2025 | 96.10 thousands | 7.1 |
| February 2025 | 95.80 thousands | 8.2 |
| January 2025 | 94.80 thousands | 4.8 |
| December 2024 | 94.00 thousands | 2.4 |
| November 2024 | 92.90 thousands | 1.2 |
| October 2024 | 92.00 thousands | −0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-55531390"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-55531390",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```