# United States All employees, thousands, landscape architectural services, seasonally adjusted

United States All employees, thousands, landscape architectural services, seasonally adjusted was up 1.1% year on year in September 2026, compared with 2.0% in August 2026.
The level stood at 35.60 thousands.
Over the past ten years it has ranged from −7.1% (Sep 2023) to 11.0% (Oct 2025), averaging 0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60541320`
- 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-landscape-architectural-services-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 35.60 thousands | 1.1 |
| August 2026 | 35.60 thousands | 2.0 |
| July 2026 | 35.70 thousands | 0.8 |
| June 2026 | 35.50 thousands | 3.2 |
| May 2026 | 36.10 thousands | 6.8 |
| April 2026 | 36.20 thousands | 8.1 |
| March 2026 | 35.80 thousands | 6.2 |
| February 2026 | 35.30 thousands | 4.7 |
| January 2026 | 34.70 thousands | 4.5 |
| December 2025 | 35.40 thousands | 6.6 |
| November 2025 | 34.90 thousands | 7.1 |
| October 2025 | 35.30 thousands | 11.0 |
| September 2025 | 35.20 thousands | 9.0 |
| August 2025 | 34.90 thousands | 6.1 |
| July 2025 | 35.40 thousands | 7.3 |
| June 2025 | 34.40 thousands | 3.3 |
| May 2025 | 33.80 thousands | −0.3 |
| April 2025 | 33.50 thousands | −2.3 |
| March 2025 | 33.70 thousands | −1.2 |
| February 2025 | 33.70 thousands | −1.2 |
| January 2025 | 33.20 thousands | −3.8 |
| December 2024 | 33.20 thousands | −0.9 |
| November 2024 | 32.60 thousands | −1.2 |
| October 2024 | 31.80 thousands | −3.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541320"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541320",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```