# United States All employees, thousands, specialized automotive repair, seasonally adjusted

United States All employees, thousands, specialized automotive repair, seasonally adjusted was up 3.2% year on year in September 2026, compared with 4.7% in August 2026.
The level stood at 44.80 thousands.
Over the past ten years it has ranged from −17.3% (Apr 2020) to 12.6% (Apr 2021), averaging −2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-80811114`
- 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-specialized-automotive-repair-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 44.80 thousands | 3.2 |
| August 2026 | 44.50 thousands | 4.7 |
| July 2026 | 43.80 thousands | 2.3 |
| June 2026 | 42.80 thousands | 0.0 |
| May 2026 | 43.50 thousands | 1.4 |
| April 2026 | 43.40 thousands | 0.5 |
| March 2026 | 42.90 thousands | −2.7 |
| February 2026 | 43.60 thousands | 0.5 |
| January 2026 | 42.30 thousands | −2.5 |
| December 2025 | 42.50 thousands | −3.2 |
| November 2025 | 42.60 thousands | −3.0 |
| October 2025 | 42.70 thousands | −3.8 |
| September 2025 | 43.40 thousands | −0.9 |
| August 2025 | 42.50 thousands | −4.7 |
| July 2025 | 42.80 thousands | −3.6 |
| June 2025 | 42.80 thousands | −4.0 |
| May 2025 | 42.90 thousands | −4.0 |
| April 2025 | 43.20 thousands | −2.5 |
| March 2025 | 44.10 thousands | −2.0 |
| February 2025 | 43.40 thousands | −2.9 |
| January 2025 | 43.40 thousands | −4.4 |
| December 2024 | 43.90 thousands | −4.1 |
| November 2024 | 43.90 thousands | −5.2 |
| October 2024 | 44.40 thousands | −2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-80811114"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-80811114",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```