# United States All employees, thousands, landscaping services, not seasonally adjusted

United States All employees, thousands, landscaping services, not seasonally adjusted was up 0.07% year on year in September 2026, compared with 0.06% in August 2026.
The level stood at 980.8 thousands.
Over the past ten years it has ranged from −5.6% (Apr 2020) to 10.3% (Apr 2021), averaging 2.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-60561730`
- 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-landscaping-services-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 980.8 thousands | 0.07 |
| August 2026 | 1,002.9 thousands | 0.06 |
| July 2026 | 1,016.9 thousands | 0.3 |
| June 2026 | 1,016.6 thousands | 0.3 |
| May 2026 | 980.7 thousands | −0.4 |
| April 2026 | 933.1 thousands | 0.3 |
| March 2026 | 822.3 thousands | 1.3 |
| February 2026 | 776.4 thousands | −0.6 |
| January 2026 | 781.8 thousands | 3.4 |
| December 2025 | 848.2 thousands | 1.9 |
| November 2025 | 933.1 thousands | 2.0 |
| October 2025 | 965.4 thousands | 0.2 |
| September 2025 | 980.1 thousands | 0.3 |
| August 2025 | 1,002.3 thousands | 0.5 |
| July 2025 | 1,014.2 thousands | 0.1 |
| June 2025 | 1,013.3 thousands | −0.04 |
| May 2025 | 984.8 thousands | 0.09 |
| April 2025 | 930.4 thousands | 0.6 |
| March 2025 | 812.1 thousands | 0.9 |
| February 2025 | 781.4 thousands | 4.3 |
| January 2025 | 756.0 thousands | 1.1 |
| December 2024 | 832.4 thousands | 2.7 |
| November 2024 | 914.6 thousands | 2.2 |
| October 2024 | 963.1 thousands | 1.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-60561730"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-60561730",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```