# All Employees: Goods Producing — Dayton-Kettering-Beavercreek, OH (NSA)

All Employees: Goods Producing — Dayton-Kettering-Beavercreek, OH (NSA) was up 1.7% year on year in September 2026, compared with 2.4% in August 2026.
The level stood at 58.40 thousands.
Over the past ten years it has ranged from −17.4% (Apr 2020) to 14.6% (Apr 2021), averaging 0.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19430.PAYEMS.M.NSA.IND-06000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-goods-producing-dayton-kettering-beavercreek-oh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 58.40 thousands | 1.7 |
| August 2026 | 58.90 thousands | 2.4 |
| July 2026 | 58.80 thousands | 2.1 |
| June 2026 | 58.60 thousands | 1.6 |
| May 2026 | 57.40 thousands | 0.5 |
| April 2026 | 56.90 thousands | 0.9 |
| March 2026 | 56.50 thousands | 0.5 |
| February 2026 | 56.30 thousands | 0.5 |
| January 2026 | 56.30 thousands | 1.3 |
| December 2025 | 57.40 thousands | 1.8 |
| November 2025 | 57.50 thousands | 1.8 |
| October 2025 | 57.70 thousands | 2.1 |
| September 2025 | 57.40 thousands | 1.4 |
| August 2025 | 57.50 thousands | 1.4 |
| July 2025 | 57.60 thousands | 1.8 |
| June 2025 | 57.70 thousands | 1.4 |
| May 2025 | 57.10 thousands | 1.4 |
| April 2025 | 56.40 thousands | 0.9 |
| March 2025 | 56.20 thousands | 0.7 |
| February 2025 | 56.00 thousands | 0.9 |
| January 2025 | 55.60 thousands | 0.0 |
| December 2024 | 56.40 thousands | 0.4 |
| November 2024 | 56.50 thousands | 0.7 |
| October 2024 | 56.50 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19430.PAYEMS.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19430.PAYEMS.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```