# All Employees: Warehousing and Storage — IN (statewide) (NSA)

All Employees: Warehousing and Storage — IN (statewide) (NSA) was down 2.4% year on year in September 2026, compared with −2.6% in August 2026.
The level stood at 63.90 thousands.
That is the highest reading since August 2025.
Over the past ten years it has ranged from −5.5% (Dec 2025) to 19.6% (Aug 2020), averaging 5.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IN.PAYEMS.M.NSA.IND-43493000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-warehousing-and-storage-in-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 63.90 thousands | −2.4 |
| August 2026 | 63.40 thousands | −2.6 |
| July 2026 | 64.00 thousands | −2.7 |
| June 2026 | 63.30 thousands | −2.8 |
| May 2026 | 62.80 thousands | −3.1 |
| April 2026 | 63.10 thousands | −3.1 |
| March 2026 | 62.90 thousands | −4.8 |
| February 2026 | 63.30 thousands | −5.1 |
| January 2026 | 65.50 thousands | −5.3 |
| December 2025 | 68.30 thousands | −5.5 |
| November 2025 | 68.30 thousands | −5.4 |
| October 2025 | 65.80 thousands | −4.8 |
| September 2025 | 65.50 thousands | −2.5 |
| August 2025 | 65.10 thousands | −2.1 |
| July 2025 | 65.80 thousands | −1.2 |
| June 2025 | 65.10 thousands | −0.8 |
| May 2025 | 64.80 thousands | −0.8 |
| April 2025 | 65.10 thousands | −0.3 |
| March 2025 | 66.10 thousands | 0.5 |
| February 2025 | 66.70 thousands | −0.7 |
| January 2025 | 69.20 thousands | 0.4 |
| December 2024 | 72.30 thousands | −0.8 |
| November 2024 | 72.20 thousands | −1.1 |
| October 2024 | 69.10 thousands | 1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IN.PAYEMS.M.NSA.IND-43493000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IN.PAYEMS.M.NSA.IND-43493000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```