# All Employees: Management of Companies and Enterprises — New York City, NY (NSA)

All Employees: Management of Companies and Enterprises — New York City, NY (NSA) was up 0.5% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 80.40 thousands.
Over the past ten years it has ranged from −18.4% (Jun 2020) to 9.6% (Jan 2023), averaging 1.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-60550000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-management-of-companies-and-enterprises-new-york-city-ny

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 80.40 thousands | 0.5 |
| August 2026 | 81.50 thousands | 1.2 |
| July 2026 | 82.30 thousands | 1.1 |
| June 2026 | 81.90 thousands | 1.4 |
| May 2026 | 80.90 thousands | 1.4 |
| April 2026 | 79.80 thousands | 0.4 |
| March 2026 | 80.20 thousands | −0.6 |
| February 2026 | 79.80 thousands | −0.3 |
| January 2026 | 79.50 thousands | −0.7 |
| December 2025 | 81.50 thousands | 0.5 |
| November 2025 | 80.80 thousands | 0.0 |
| October 2025 | 79.80 thousands | −0.1 |
| September 2025 | 80.00 thousands | 0.6 |
| August 2025 | 80.50 thousands | 0.2 |
| July 2025 | 81.40 thousands | 1.1 |
| June 2025 | 80.80 thousands | 0.9 |
| May 2025 | 79.80 thousands | 1.9 |
| April 2025 | 79.50 thousands | 1.8 |
| March 2025 | 80.70 thousands | 5.5 |
| February 2025 | 80.00 thousands | 5.4 |
| January 2025 | 80.10 thousands | 5.1 |
| December 2024 | 81.10 thousands | 7.4 |
| November 2024 | 80.80 thousands | 7.6 |
| October 2024 | 79.90 thousands | 8.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-60550000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-60550000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```