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

All Employees: Finance and Insurance — New York-Newark-Jersey City, NY-NJ (NSA) was down 0.05% year on year in September 2026, compared with −0.10% in August 2026.
The level stood at 615.2 thousands.
Over the past ten years it has ranged from −3.2% (Jul 2020) to 4.8% (Aug 2022), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35620.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-newark-jersey-city-ny-nj

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 615.2 thousands | −0.05 |
| August 2026 | 625.5 thousands | −0.10 |
| July 2026 | 629.9 thousands | 0.5 |
| June 2026 | 626.3 thousands | 1.2 |
| May 2026 | 615.6 thousands | 1.2 |
| April 2026 | 615.6 thousands | 1.1 |
| March 2026 | 613.9 thousands | 0.4 |
| February 2026 | 616.0 thousands | 1.0 |
| January 2026 | 614.0 thousands | 0.8 |
| December 2025 | 620.8 thousands | 2.2 |
| November 2025 | 615.1 thousands | 1.6 |
| October 2025 | 612.6 thousands | 1.5 |
| September 2025 | 615.5 thousands | 1.9 |
| August 2025 | 626.1 thousands | 2.0 |
| July 2025 | 626.9 thousands | 2.1 |
| June 2025 | 619.1 thousands | 1.6 |
| May 2025 | 608.4 thousands | 2.0 |
| April 2025 | 608.7 thousands | 1.9 |
| March 2025 | 611.3 thousands | 1.9 |
| February 2025 | 609.7 thousands | 1.7 |
| January 2025 | 608.9 thousands | 1.7 |
| December 2024 | 607.6 thousands | 0.9 |
| November 2024 | 605.4 thousands | 0.9 |
| October 2024 | 603.8 thousands | 0.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35620.PAYEMS.M.NSA.IND-55520000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35620.PAYEMS.M.NSA.IND-55520000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```