# United States All employees, thousands, cemeteries and crematories, not seasonally adjusted

United States All employees, thousands, cemeteries and crematories, not seasonally adjusted was up 2.1% year on year in September 2026, compared with 5.4% in August 2026.
The level stood at 34.40 thousands.
Over the past ten years it has ranged from −7.7% (May 2020) to 10.1% (Apr 2022), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-80812220`
- 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-cemeteries-and-crematories-not-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 34.40 thousands | 2.1 |
| August 2026 | 35.00 thousands | 5.4 |
| July 2026 | 34.80 thousands | 3.3 |
| June 2026 | 34.90 thousands | 0.9 |
| May 2026 | 35.20 thousands | 4.1 |
| April 2026 | 32.60 thousands | 3.8 |
| March 2026 | 30.80 thousands | 2.7 |
| February 2026 | 31.30 thousands | 3.6 |
| January 2026 | 30.60 thousands | 0.7 |
| December 2025 | 31.40 thousands | 3.0 |
| November 2025 | 32.30 thousands | 2.2 |
| October 2025 | 33.90 thousands | 5.0 |
| September 2025 | 33.70 thousands | 4.3 |
| August 2025 | 33.20 thousands | 1.5 |
| July 2025 | 33.70 thousands | 1.8 |
| June 2025 | 34.60 thousands | 3.9 |
| May 2025 | 33.80 thousands | 3.7 |
| April 2025 | 31.40 thousands | 1.3 |
| March 2025 | 30.00 thousands | 1.0 |
| February 2025 | 30.20 thousands | −0.3 |
| January 2025 | 30.40 thousands | 1.7 |
| December 2024 | 30.50 thousands | −1.0 |
| November 2024 | 31.60 thousands | 2.3 |
| October 2024 | 32.30 thousands | 3.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-80812220"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-80812220",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```