# All Employees: Trade, Transportation, and Utilities — Springfield, OH (NSA)

All Employees: Trade, Transportation, and Utilities — Springfield, OH (NSA) was down 2.2% year on year in September 2026, compared with −2.1% in August 2026.
The level stood at 9.10 thousands.
Over the past ten years it has ranged from −6.4% (Apr 2020) to 6.7% (Apr 2022), averaging −0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-44220.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-springfield-oh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 9.10 thousands | −2.2 |
| August 2026 | 9.20 thousands | −2.1 |
| July 2026 | 9.10 thousands | −3.2 |
| June 2026 | 9.30 thousands | −1.1 |
| May 2026 | 9.20 thousands | −2.1 |
| April 2026 | 9.20 thousands | −1.1 |
| March 2026 | 9.10 thousands | −3.2 |
| February 2026 | 9.20 thousands | −2.1 |
| January 2026 | 9.20 thousands | −1.1 |
| December 2025 | 9.50 thousands | −1.0 |
| November 2025 | 9.30 thousands | −4.1 |
| October 2025 | 9.30 thousands | −1.1 |
| September 2025 | 9.30 thousands | −2.1 |
| August 2025 | 9.40 thousands | −2.1 |
| July 2025 | 9.40 thousands | −2.1 |
| June 2025 | 9.40 thousands | −2.1 |
| May 2025 | 9.40 thousands | −2.1 |
| April 2025 | 9.30 thousands | −2.1 |
| March 2025 | 9.40 thousands | −2.1 |
| February 2025 | 9.40 thousands | −1.1 |
| January 2025 | 9.30 thousands | −2.1 |
| December 2024 | 9.60 thousands | −2.0 |
| November 2024 | 9.70 thousands | −1.0 |
| October 2024 | 9.40 thousands | −3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-44220.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-44220.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```