# United States All employees, thousands, water transportation, not seasonally adjusted

United States All employees, thousands, water transportation, not seasonally adjusted was down 1.7% year on year in October 2026, compared with −0.1% in September 2026.
The level stood at 69.70 thousands.
Over the past ten years it has ranged from −17.9% (Jan 2021) to 18.1% (Jul 2022), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-43483000`
- 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-water-transportation-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 69.70 thousands | −1.7 |
| September 2026 | 72.10 thousands | −0.1 |
| August 2026 | 74.00 thousands | −1.5 |
| July 2026 | 74.50 thousands | 0.1 |
| June 2026 | 73.00 thousands | −1.7 |
| May 2026 | 70.70 thousands | −1.5 |
| April 2026 | 69.90 thousands | 2.6 |
| March 2026 | 69.30 thousands | 3.0 |
| February 2026 | 68.50 thousands | 2.7 |
| January 2026 | 68.90 thousands | 4.7 |
| December 2025 | 69.30 thousands | 3.3 |
| November 2025 | 68.50 thousands | 1.0 |
| October 2025 | 70.90 thousands | 1.4 |
| September 2025 | 72.20 thousands | 1.5 |
| August 2025 | 75.10 thousands | 2.9 |
| July 2025 | 74.40 thousands | 0.9 |
| June 2025 | 74.30 thousands | 0.7 |
| May 2025 | 71.80 thousands | −0.1 |
| April 2025 | 68.10 thousands | −2.0 |
| March 2025 | 67.30 thousands | −0.6 |
| February 2025 | 66.70 thousands | 2.6 |
| January 2025 | 65.80 thousands | −0.6 |
| December 2024 | 67.10 thousands | 1.2 |
| November 2024 | 67.80 thousands | 1.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-43483000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-43483000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```