# United States All employees, thousands, security systems services, seasonally adjusted

United States All employees, thousands, security systems services, seasonally adjusted was up 3.5% year on year in September 2026, compared with 4.6% in August 2026.
The level stood at 162.8 thousands.
Over the past ten years it has ranged from −3.7% (Apr 2020) to 5.9% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60561620`
- 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-security-systems-services-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 162.8 thousands | 3.5 |
| August 2026 | 162.9 thousands | 4.6 |
| July 2026 | 163.5 thousands | 5.5 |
| June 2026 | 161.1 thousands | 3.7 |
| May 2026 | 161.2 thousands | 2.9 |
| April 2026 | 162.3 thousands | 2.7 |
| March 2026 | 160.6 thousands | 2.6 |
| February 2026 | 161.3 thousands | 2.9 |
| January 2026 | 161.0 thousands | 2.9 |
| December 2025 | 159.7 thousands | 1.8 |
| November 2025 | 160.0 thousands | 1.8 |
| October 2025 | 157.6 thousands | 0.4 |
| September 2025 | 157.3 thousands | −0.2 |
| August 2025 | 155.8 thousands | −1.3 |
| July 2025 | 155.0 thousands | −0.9 |
| June 2025 | 155.4 thousands | −0.06 |
| May 2025 | 156.6 thousands | 0.9 |
| April 2025 | 158.0 thousands | 1.1 |
| March 2025 | 156.5 thousands | −0.4 |
| February 2025 | 156.8 thousands | −0.6 |
| January 2025 | 156.5 thousands | −0.6 |
| December 2024 | 156.9 thousands | −1.0 |
| November 2024 | 157.1 thousands | −1.2 |
| October 2024 | 156.9 thousands | −1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60561620"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60561620",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```