# All Employees: Private Service Providing — Dayton-Kettering-Beavercreek, OH (NSA)

All Employees: Private Service Providing — Dayton-Kettering-Beavercreek, OH (NSA) was up 1.1% year on year in September 2026, compared with 0.9% in August 2026.
The level stood at 282.2 thousands.
Over the past ten years it has ranged from −17.8% (Apr 2020) to 15.4% (Apr 2021), averaging 0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19430.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-dayton-kettering-beavercreek-oh

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 282.2 thousands | 1.1 |
| August 2026 | 283.5 thousands | 0.9 |
| July 2026 | 284.0 thousands | 1.1 |
| June 2026 | 283.5 thousands | 1.3 |
| May 2026 | 282.3 thousands | 0.9 |
| April 2026 | 279.9 thousands | 0.6 |
| March 2026 | 278.1 thousands | 0.7 |
| February 2026 | 277.0 thousands | 0.8 |
| January 2026 | 277.2 thousands | 0.9 |
| December 2025 | 281.2 thousands | 0.6 |
| November 2025 | 281.3 thousands | 0.8 |
| October 2025 | 280.1 thousands | 0.7 |
| September 2025 | 279.1 thousands | 0.7 |
| August 2025 | 281.1 thousands | 0.8 |
| July 2025 | 280.8 thousands | 0.7 |
| June 2025 | 279.9 thousands | 0.6 |
| May 2025 | 279.7 thousands | 0.6 |
| April 2025 | 278.2 thousands | 0.7 |
| March 2025 | 276.3 thousands | 0.7 |
| February 2025 | 274.9 thousands | 0.8 |
| January 2025 | 274.6 thousands | 0.7 |
| December 2024 | 279.6 thousands | 0.7 |
| November 2024 | 279.2 thousands | 0.7 |
| October 2024 | 278.2 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19430.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19430.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```