# United States All employees, thousands, taxi and limousine service, seasonally adjusted

United States All employees, thousands, taxi and limousine service, seasonally adjusted was up 2.9% year on year in September 2026, compared with 2.2% in August 2026.
The level stood at 82.00 thousands.
Over the past ten years it has ranged from −47.5% (Apr 2020) to 39.0% (Jul 2022), averaging 2.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-43485300`
- 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-taxi-and-limousine-service-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 82.00 thousands | 2.9 |
| August 2026 | 80.50 thousands | 2.2 |
| July 2026 | 79.50 thousands | 1.3 |
| June 2026 | 79.90 thousands | 1.1 |
| May 2026 | 79.90 thousands | 1.7 |
| April 2026 | 79.70 thousands | 1.8 |
| March 2026 | 79.30 thousands | 1.0 |
| February 2026 | 79.00 thousands | 1.9 |
| January 2026 | 79.50 thousands | 4.2 |
| December 2025 | 79.40 thousands | 2.5 |
| November 2025 | 78.70 thousands | 1.5 |
| October 2025 | 80.20 thousands | 4.2 |
| September 2025 | 79.70 thousands | 6.0 |
| August 2025 | 78.80 thousands | 4.0 |
| July 2025 | 78.50 thousands | 3.7 |
| June 2025 | 79.00 thousands | 5.1 |
| May 2025 | 78.60 thousands | 4.4 |
| April 2025 | 78.30 thousands | 8.3 |
| March 2025 | 78.50 thousands | 9.8 |
| February 2025 | 77.50 thousands | 8.7 |
| January 2025 | 76.30 thousands | 9.3 |
| December 2024 | 77.50 thousands | 14.1 |
| November 2024 | 77.50 thousands | 15.8 |
| October 2024 | 77.00 thousands | 17.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-43485300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-43485300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```