# All Employees: Real Estate and Rental and Leasing — NY (statewide) (NSA)

All Employees: Real Estate and Rental and Leasing — NY (statewide) (NSA) was down 0.7% year on year in September 2026, compared with −1.3% in August 2026.
The level stood at 197.4 thousands.
Over the past ten years it has ranged from −11.5% (Jun 2020) to 6.5% (Jul 2022), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NY.PAYEMS.M.NSA.IND-55530000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-real-estate-and-rental-and-leasing-ny-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 197.4 thousands | −0.7 |
| August 2026 | 198.8 thousands | −1.3 |
| July 2026 | 201.5 thousands | −0.4 |
| June 2026 | 204.1 thousands | 0.9 |
| May 2026 | 199.0 thousands | 0.4 |
| April 2026 | 198.1 thousands | 1.1 |
| March 2026 | 197.3 thousands | −1.1 |
| February 2026 | 197.5 thousands | −0.6 |
| January 2026 | 196.0 thousands | −1.0 |
| December 2025 | 201.1 thousands | −0.2 |
| November 2025 | 198.9 thousands | −1.0 |
| October 2025 | 197.0 thousands | −2.2 |
| September 2025 | 198.8 thousands | −1.9 |
| August 2025 | 201.5 thousands | −1.2 |
| July 2025 | 202.4 thousands | −1.3 |
| June 2025 | 202.3 thousands | −1.1 |
| May 2025 | 198.3 thousands | −1.2 |
| April 2025 | 196.0 thousands | −1.5 |
| March 2025 | 199.5 thousands | 0.7 |
| February 2025 | 198.7 thousands | 0.7 |
| January 2025 | 198.0 thousands | 0.3 |
| December 2024 | 201.6 thousands | 0.8 |
| November 2024 | 201.0 thousands | 0.7 |
| October 2024 | 201.5 thousands | 0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-55530000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NY.PAYEMS.M.NSA.IND-55530000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```