# All Employees: Goods Producing — IN (statewide) (NSA)

All Employees: Goods Producing — IN (statewide) (NSA) was up 1.1% year on year in September 2026, compared with 0.5% in August 2026.
The level stood at 711.5 thousands.
That is the highest reading since February 2023.
Over the past ten years it has ranged from −19.4% (Apr 2020) to 20.5% (Apr 2021), averaging 0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IN.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-in-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 711.5 thousands | 1.1 |
| August 2026 | 710.8 thousands | 0.5 |
| July 2026 | 707.5 thousands | 0.9 |
| June 2026 | 707.2 thousands | 0.08 |
| May 2026 | 699.7 thousands | −0.09 |
| April 2026 | 693.3 thousands | −0.3 |
| March 2026 | 692.7 thousands | 0.03 |
| February 2026 | 687.3 thousands | −0.1 |
| January 2026 | 683.7 thousands | 0.3 |
| December 2025 | 691.6 thousands | −0.8 |
| November 2025 | 696.9 thousands | −0.3 |
| October 2025 | 704.3 thousands | 0.7 |
| September 2025 | 704.0 thousands | 0.09 |
| August 2025 | 707.4 thousands | 0.4 |
| July 2025 | 701.3 thousands | −0.06 |
| June 2025 | 706.6 thousands | −0.4 |
| May 2025 | 700.3 thousands | −0.1 |
| April 2025 | 695.2 thousands | −0.04 |
| March 2025 | 692.5 thousands | −0.09 |
| February 2025 | 688.2 thousands | −0.2 |
| January 2025 | 681.9 thousands | −0.6 |
| December 2024 | 697.0 thousands | −0.2 |
| November 2024 | 699.0 thousands | −0.01 |
| October 2024 | 699.1 thousands | −0.1 |

## API

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

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