# All Employees: Professional and Business Services — New York City, NY (NSA)

All Employees: Professional and Business Services — New York City, NY (NSA) was up 0.4% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 795.6 thousands.
Over the past ten years it has ranged from −12.0% (Jun 2020) to 11.0% (Aug 2022), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-60000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-and-business-services-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 795.6 thousands | 0.4 |
| August 2026 | 796.4 thousands | 0.4 |
| July 2026 | 812.0 thousands | 1.8 |
| June 2026 | 814.5 thousands | 2.2 |
| May 2026 | 804.7 thousands | 2.0 |
| April 2026 | 794.9 thousands | 0.8 |
| March 2026 | 792.3 thousands | −0.7 |
| February 2026 | 788.8 thousands | −0.8 |
| January 2026 | 789.7 thousands | −0.4 |
| December 2025 | 810.3 thousands | 0.9 |
| November 2025 | 802.0 thousands | −0.10 |
| October 2025 | 798.9 thousands | 0.01 |
| September 2025 | 792.5 thousands | −0.7 |
| August 2025 | 793.2 thousands | −0.8 |
| July 2025 | 797.8 thousands | −0.6 |
| June 2025 | 797.3 thousands | −1.2 |
| May 2025 | 789.1 thousands | −0.8 |
| April 2025 | 788.3 thousands | −0.7 |
| March 2025 | 797.7 thousands | 0.9 |
| February 2025 | 795.3 thousands | 1.1 |
| January 2025 | 792.6 thousands | 1.1 |
| December 2024 | 803.4 thousands | 0.5 |
| November 2024 | 802.8 thousands | 0.6 |
| October 2024 | 798.8 thousands | 0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```