# All Employees: Total Nonfarm — Dayton-Kettering-Beavercreek, OH (NSA)

All Employees: Total Nonfarm — Dayton-Kettering-Beavercreek, OH (NSA) was up 0.8% year on year in September 2026, compared with 0.6% in August 2026.
The level stood at 402.2 thousands.
Over the past ten years it has ranged from −15.1% (Apr 2020) to 12.1% (Apr 2021), averaging 0.5%.
The next update is expected on 23 November 2026.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19430.PAYEMS.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-dayton-kettering-beavercreek-oh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 402.2 thousands | 0.8 |
| August 2026 | 403.0 thousands | 0.6 |
| July 2026 | 403.6 thousands | 0.9 |
| June 2026 | 403.1 thousands | 0.9 |
| May 2026 | 400.5 thousands | 0.1 |
| April 2026 | 398.0 thousands | 0.03 |
| March 2026 | 395.7 thousands | −0.03 |
| February 2026 | 394.3 thousands | −0.03 |
| January 2026 | 394.1 thousands | 0.4 |
| December 2025 | 400.2 thousands | 0.08 |
| November 2025 | 400.9 thousands | 0.2 |
| October 2025 | 399.6 thousands | 0.2 |
| September 2025 | 398.9 thousands | 0.4 |
| August 2025 | 400.4 thousands | 0.5 |
| July 2025 | 400.0 thousands | 0.6 |
| June 2025 | 399.7 thousands | 0.5 |
| May 2025 | 400.0 thousands | 0.8 |
| April 2025 | 397.9 thousands | 0.6 |
| March 2025 | 395.8 thousands | 0.5 |
| February 2025 | 394.4 thousands | 0.7 |
| January 2025 | 392.4 thousands | 0.6 |
| December 2024 | 399.9 thousands | 0.7 |
| November 2024 | 400.1 thousands | 0.8 |
| October 2024 | 398.9 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19430.PAYEMS.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19430.PAYEMS.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```