# United States All employees, thousands, parking lots and garages, not seasonally adjusted

United States All employees, thousands, parking lots and garages, not seasonally adjusted was down 2.6% year on year in September 2026, compared with −3.4% in August 2026.
The level stood at 135.4 thousands.
Over the past ten years it has ranged from −55.8% (May 2020) to 40.0% (May 2021), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-80812930`
- 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-parking-lots-and-garages-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 135.4 thousands | −2.6 |
| August 2026 | 133.1 thousands | −3.4 |
| July 2026 | 135.5 thousands | −0.7 |
| June 2026 | 140.0 thousands | 3.5 |
| May 2026 | 135.9 thousands | −1.5 |
| April 2026 | 134.2 thousands | −1.4 |
| March 2026 | 131.9 thousands | −1.6 |
| February 2026 | 131.2 thousands | −1.4 |
| January 2026 | 132.2 thousands | 1.0 |
| December 2025 | 138.8 thousands | 1.7 |
| November 2025 | 138.2 thousands | 3.4 |
| October 2025 | 139.4 thousands | 5.5 |
| September 2025 | 139.0 thousands | 6.2 |
| August 2025 | 137.8 thousands | 5.8 |
| July 2025 | 136.4 thousands | 5.2 |
| June 2025 | 135.3 thousands | 1.6 |
| May 2025 | 137.9 thousands | 4.4 |
| April 2025 | 136.1 thousands | 4.3 |
| March 2025 | 134.0 thousands | 2.7 |
| February 2025 | 133.1 thousands | 4.2 |
| January 2025 | 130.9 thousands | 2.3 |
| December 2024 | 136.5 thousands | 5.3 |
| November 2024 | 133.6 thousands | 1.2 |
| October 2024 | 132.1 thousands | 2.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-80812930"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-80812930",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```