# All Employees: Finance and Insurance — Denver-Aurora-Centennial, CO (NSA)

All Employees: Finance and Insurance — Denver-Aurora-Centennial, CO (NSA) was down 5.5% year on year in September 2026, compared with −5.7% in August 2026.
The level stood at 73.70 thousands.
Over the past ten years it has ranged from −6.4% (Oct 2023) to 3.1% (May 2017), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19740.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-denver-aurora-centennial-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 73.70 thousands | −5.5 |
| August 2026 | 74.10 thousands | −5.7 |
| July 2026 | 74.60 thousands | −5.6 |
| June 2026 | 74.50 thousands | −5.7 |
| May 2026 | 74.90 thousands | −5.2 |
| April 2026 | 75.40 thousands | −4.7 |
| March 2026 | 75.80 thousands | −3.4 |
| February 2026 | 75.40 thousands | −4.2 |
| January 2026 | 76.40 thousands | −2.8 |
| December 2025 | 77.60 thousands | −1.4 |
| November 2025 | 77.70 thousands | −1.1 |
| October 2025 | 78.30 thousands | −0.1 |
| September 2025 | 78.00 thousands | −0.8 |
| August 2025 | 78.60 thousands | −0.5 |
| July 2025 | 79.00 thousands | −0.1 |
| June 2025 | 79.00 thousands | 1.0 |
| May 2025 | 79.00 thousands | 2.1 |
| April 2025 | 79.10 thousands | 2.6 |
| March 2025 | 78.50 thousands | 0.9 |
| February 2025 | 78.70 thousands | 1.9 |
| January 2025 | 78.60 thousands | 1.0 |
| December 2024 | 78.70 thousands | 0.3 |
| November 2024 | 78.60 thousands | 1.6 |
| October 2024 | 78.40 thousands | 0.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-55520000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-55520000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```