# All Employees: Services to Buildings and Dwellings — New York City, NY (NSA)

All Employees: Services to Buildings and Dwellings — New York City, NY (NSA) was up 2.2% year on year in September 2026, compared with 1.3% in August 2026.
The level stood at 46.40 thousands.
Over the past ten years it has ranged from −30.7% (May 2020) to 20.5% (May 2021), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-60561700`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-services-to-buildings-and-dwellings-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 46.40 thousands | 2.2 |
| August 2026 | 46.30 thousands | 1.3 |
| July 2026 | 46.40 thousands | 2.9 |
| June 2026 | 46.90 thousands | 4.0 |
| May 2026 | 46.90 thousands | 3.5 |
| April 2026 | 46.10 thousands | 3.4 |
| March 2026 | 45.00 thousands | 2.3 |
| February 2026 | 44.60 thousands | 1.4 |
| January 2026 | 44.90 thousands | 3.5 |
| December 2025 | 46.00 thousands | 3.8 |
| November 2025 | 45.70 thousands | 2.9 |
| October 2025 | 45.60 thousands | 1.8 |
| September 2025 | 45.40 thousands | 0.0 |
| August 2025 | 45.70 thousands | 0.4 |
| July 2025 | 45.10 thousands | −0.2 |
| June 2025 | 45.10 thousands | −1.3 |
| May 2025 | 45.30 thousands | 0.4 |
| April 2025 | 44.60 thousands | 0.0 |
| March 2025 | 44.00 thousands | 1.6 |
| February 2025 | 44.00 thousands | 2.3 |
| January 2025 | 43.40 thousands | 1.6 |
| December 2024 | 44.30 thousands | 0.0 |
| November 2024 | 44.40 thousands | −0.7 |
| October 2024 | 44.80 thousands | 0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-60561700"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-60561700",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```