# United States All employees, thousands, motor vehicles and parts, not seasonally adjusted

United States All employees, thousands, motor vehicles and parts, not seasonally adjusted was up 1.0% year on year in October 2026, compared with −0.07% in September 2026.
The level stood at 963.8 thousands.
That is the highest reading since September 2023.
Over the past ten years it has ranged from −37.1% (Apr 2020) to 44.9% (Apr 2021), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-31336001`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-10-01 (442 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-motor-vehicles-and-parts-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 963.8 thousands | 1.0 |
| September 2026 | 964.6 thousands | −0.07 |
| August 2026 | 965.7 thousands | −0.1 |
| July 2026 | 960.4 thousands | −0.3 |
| June 2026 | 961.5 thousands | −1.5 |
| May 2026 | 956.9 thousands | −1.8 |
| April 2026 | 954.5 thousands | −1.8 |
| March 2026 | 958.9 thousands | −1.4 |
| February 2026 | 955.4 thousands | −2.1 |
| January 2026 | 944.1 thousands | −2.2 |
| December 2025 | 961.3 thousands | −3.8 |
| November 2025 | 956.1 thousands | −4.1 |
| October 2025 | 953.8 thousands | −4.1 |
| September 2025 | 965.3 thousands | −3.9 |
| August 2025 | 967.1 thousands | −4.2 |
| July 2025 | 963.6 thousands | −4.4 |
| June 2025 | 976.4 thousands | −4.5 |
| May 2025 | 974.8 thousands | −4.1 |
| April 2025 | 972.1 thousands | −4.5 |
| March 2025 | 972.9 thousands | −4.5 |
| February 2025 | 976.3 thousands | −3.9 |
| January 2025 | 965.7 thousands | −5.2 |
| December 2024 | 999.1 thousands | −3.8 |
| November 2024 | 996.8 thousands | −3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-31336001"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-31336001",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```