# All Employees: Machinery Manufacturing — IN (statewide) (NSA)

All Employees: Machinery Manufacturing — IN (statewide) (NSA) was up 1.1% year on year in September 2026, compared with 0.0% in August 2026.
The level stood at 45.00 thousands.
That is the highest reading since May 2024.
Over the past ten years it has ranged from −11.4% (Aug 2020) to 5.8% (Sep 2018), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IN.PAYEMS.M.NSA.IND-31333000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-machinery-manufacturing-in-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 45.00 thousands | 1.1 |
| August 2026 | 45.00 thousands | 0.0 |
| July 2026 | 44.80 thousands | −0.9 |
| June 2026 | 44.80 thousands | −0.9 |
| May 2026 | 44.30 thousands | −0.7 |
| April 2026 | 44.30 thousands | −0.7 |
| March 2026 | 44.40 thousands | −1.1 |
| February 2026 | 44.40 thousands | −0.4 |
| January 2026 | 44.20 thousands | −0.7 |
| December 2025 | 44.30 thousands | −1.6 |
| November 2025 | 44.60 thousands | −0.7 |
| October 2025 | 44.60 thousands | −0.7 |
| September 2025 | 44.50 thousands | −1.3 |
| August 2025 | 45.00 thousands | −0.9 |
| July 2025 | 45.20 thousands | −0.7 |
| June 2025 | 45.20 thousands | −0.9 |
| May 2025 | 44.60 thousands | −0.9 |
| April 2025 | 44.60 thousands | −0.9 |
| March 2025 | 44.90 thousands | −0.7 |
| February 2025 | 44.60 thousands | −0.9 |
| January 2025 | 44.50 thousands | −1.1 |
| December 2024 | 45.00 thousands | −0.2 |
| November 2024 | 44.90 thousands | 0.0 |
| October 2024 | 44.90 thousands | 0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IN.PAYEMS.M.NSA.IND-31333000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IN.PAYEMS.M.NSA.IND-31333000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```