# All Employees: Manufacturing — Oshkosh-Neenah, WI (NSA)

All Employees: Manufacturing — Oshkosh-Neenah, WI (NSA) was up 0.5% year on year in September 2026, compared with 0.5% in August 2026.
The level stood at 19.90 thousands.
That is the highest reading since April 2024.
Over the past ten years it has ranged from −6.3% (Apr 2020) to 3.9% (Apr 2021), averaging −1.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-36780.PAYEMS.M.NSA.IND-30000000`
- Frequency: monthly
- Units: thousands
- Coverage: 2003-01-01 to 2026-09-01 (285 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-manufacturing-oshkosh-neenah-wi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 19.90 thousands | 0.5 |
| August 2026 | 20.20 thousands | 0.5 |
| July 2026 | 20.20 thousands | −0.5 |
| June 2026 | 20.10 thousands | −0.5 |
| May 2026 | 19.90 thousands | −0.5 |
| April 2026 | 19.80 thousands | −1.5 |
| March 2026 | 19.80 thousands | −1.5 |
| February 2026 | 19.70 thousands | −2.5 |
| January 2026 | 19.70 thousands | −3.0 |
| December 2025 | 19.90 thousands | −3.4 |
| November 2025 | 19.90 thousands | −3.4 |
| October 2025 | 19.80 thousands | −3.9 |
| September 2025 | 19.80 thousands | −3.9 |
| August 2025 | 20.10 thousands | −3.8 |
| July 2025 | 20.30 thousands | −2.9 |
| June 2025 | 20.20 thousands | −3.8 |
| May 2025 | 20.00 thousands | −3.8 |
| April 2025 | 20.10 thousands | −4.3 |
| March 2025 | 20.10 thousands | −4.7 |
| February 2025 | 20.20 thousands | −3.8 |
| January 2025 | 20.30 thousands | −3.3 |
| December 2024 | 20.60 thousands | −2.4 |
| November 2024 | 20.60 thousands | −2.4 |
| October 2024 | 20.60 thousands | −1.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-36780.PAYEMS.M.NSA.IND-30000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-36780.PAYEMS.M.NSA.IND-30000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```