# All Employees: Finance and Insurance — New York City, NY (NSA)

All Employees: Finance and Insurance — New York City, NY (NSA) was up 0.3% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 384.8 thousands.
That is the lowest reading since August 2024.
Over the past ten years it has ranged from −3.3% (Jul 2020) to 6.6% (Aug 2022), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-93561.PAYEMS.M.NSA.IND-55520000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-finance-and-insurance-new-york-city-ny-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 384.8 thousands | 0.3 |
| August 2026 | 394.3 thousands | 0.4 |
| July 2026 | 397.2 thousands | 1.1 |
| June 2026 | 393.3 thousands | 2.0 |
| May 2026 | 384.5 thousands | 2.0 |
| April 2026 | 384.0 thousands | 1.8 |
| March 2026 | 382.8 thousands | 0.9 |
| February 2026 | 383.9 thousands | 1.6 |
| January 2026 | 382.2 thousands | 1.2 |
| December 2025 | 387.4 thousands | 3.5 |
| November 2025 | 384.1 thousands | 2.9 |
| October 2025 | 382.4 thousands | 2.8 |
| September 2025 | 383.6 thousands | 3.0 |
| August 2025 | 392.9 thousands | 3.2 |
| July 2025 | 393.0 thousands | 3.1 |
| June 2025 | 385.6 thousands | 2.1 |
| May 2025 | 377.0 thousands | 2.7 |
| April 2025 | 377.3 thousands | 2.6 |
| March 2025 | 379.5 thousands | 2.8 |
| February 2025 | 377.8 thousands | 2.4 |
| January 2025 | 377.5 thousands | 2.4 |
| December 2024 | 374.3 thousands | 1.0 |
| November 2024 | 373.1 thousands | 1.0 |
| October 2024 | 372.0 thousands | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-55520000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-93561.PAYEMS.M.NSA.IND-55520000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```