# United States All employees, thousands, hospitals, not seasonally adjusted

United States All employees, thousands, hospitals, not seasonally adjusted was up 2.2% year on year in October 2026, compared with 1.8% in September 2026.
The level stood at 5,826.5 thousands.
Over the past ten years it has ranged from −2.2% (Jun 2020) to 4.3% (Apr 2024), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-65622000`
- 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-hospitals-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 5,826.5 thousands | 2.2 |
| September 2026 | 5,800.3 thousands | 1.8 |
| August 2026 | 5,788.6 thousands | 1.9 |
| July 2026 | 5,779.7 thousands | 1.8 |
| June 2026 | 5,767.6 thousands | 2.1 |
| May 2026 | 5,742.3 thousands | 2.2 |
| April 2026 | 5,746.9 thousands | 2.5 |
| March 2026 | 5,749.4 thousands | 2.6 |
| February 2026 | 5,735.5 thousands | 2.7 |
| January 2026 | 5,730.5 thousands | 2.7 |
| December 2025 | 5,728.8 thousands | 2.4 |
| November 2025 | 5,719.4 thousands | 2.3 |
| October 2025 | 5,702.9 thousands | 2.4 |
| September 2025 | 5,695.0 thousands | 2.5 |
| August 2025 | 5,678.3 thousands | 2.4 |
| July 2025 | 5,675.7 thousands | 2.5 |
| June 2025 | 5,650.0 thousands | 2.4 |
| May 2025 | 5,617.2 thousands | 2.2 |
| April 2025 | 5,607.1 thousands | 2.0 |
| March 2025 | 5,602.8 thousands | 2.0 |
| February 2025 | 5,586.0 thousands | 2.2 |
| January 2025 | 5,581.8 thousands | 2.6 |
| December 2024 | 5,593.4 thousands | 2.7 |
| November 2024 | 5,588.9 thousands | 2.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-65622000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-65622000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```