# All Employees: Management of Companies and Enterprises — Columbus, OH (NSA)

All Employees: Management of Companies and Enterprises — Columbus, OH (NSA) was down 3.6% year on year in September 2026, compared with −3.3% in August 2026.
The level stood at 43.40 thousands.
Over the past ten years it has ranged from −5.7% (May 2020) to 7.9% (Mar 2023), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-18140.PAYEMS.M.NSA.IND-60550000`
- Frequency: monthly
- Units: thousands
- Coverage: 2004-01-01 to 2026-09-01 (273 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-management-of-companies-and-enterprises-columbus-oh-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 43.40 thousands | −3.6 |
| August 2026 | 43.90 thousands | −3.3 |
| July 2026 | 43.90 thousands | −3.7 |
| June 2026 | 44.00 thousands | −2.2 |
| May 2026 | 43.50 thousands | −2.7 |
| April 2026 | 43.40 thousands | −3.1 |
| March 2026 | 44.00 thousands | −2.7 |
| February 2026 | 43.80 thousands | −2.7 |
| January 2026 | 44.00 thousands | −2.2 |
| December 2025 | 44.70 thousands | 0.2 |
| November 2025 | 45.00 thousands | 1.4 |
| October 2025 | 44.90 thousands | 1.4 |
| September 2025 | 45.00 thousands | 1.8 |
| August 2025 | 45.40 thousands | 2.9 |
| July 2025 | 45.60 thousands | 2.9 |
| June 2025 | 45.00 thousands | 2.0 |
| May 2025 | 44.70 thousands | 3.0 |
| April 2025 | 44.80 thousands | 4.2 |
| March 2025 | 45.20 thousands | 4.9 |
| February 2025 | 45.00 thousands | 5.4 |
| January 2025 | 45.00 thousands | 5.6 |
| December 2024 | 44.60 thousands | 5.2 |
| November 2024 | 44.40 thousands | 5.2 |
| October 2024 | 44.30 thousands | 5.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-18140.PAYEMS.M.NSA.IND-60550000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-18140.PAYEMS.M.NSA.IND-60550000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```