# All Employees: Finance and Insurance — Baltimore-Columbia-Towson, MD (NSA)

All Employees: Finance and Insurance — Baltimore-Columbia-Towson, MD (NSA) was down 1.4% year on year in September 2026, compared with −1.7% in August 2026.
The level stood at 55.90 thousands.
Over the past ten years it has ranged from −3.7% (Oct 2023) to 3.1% (Sep 2016), averaging −0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12580.PAYEMS.M.NSA.IND-55520000`
- Frequency: monthly
- Units: thousands
- Coverage: 1991-01-01 to 2026-09-01 (429 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-finance-and-insurance-baltimore-columbia-towson-md-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 55.90 thousands | −1.4 |
| August 2026 | 56.50 thousands | −1.7 |
| July 2026 | 56.70 thousands | −1.7 |
| June 2026 | 56.40 thousands | −1.2 |
| May 2026 | 56.20 thousands | −0.9 |
| April 2026 | 56.60 thousands | −0.5 |
| March 2026 | 56.40 thousands | −1.1 |
| February 2026 | 56.40 thousands | −1.2 |
| January 2026 | 56.40 thousands | −1.1 |
| December 2025 | 56.70 thousands | −0.7 |
| November 2025 | 56.90 thousands | −0.4 |
| October 2025 | 56.90 thousands | 0.0 |
| September 2025 | 56.70 thousands | 0.7 |
| August 2025 | 57.50 thousands | 1.4 |
| July 2025 | 57.70 thousands | 1.6 |
| June 2025 | 57.10 thousands | 1.1 |
| May 2025 | 56.70 thousands | 1.2 |
| April 2025 | 56.90 thousands | 0.9 |
| March 2025 | 57.00 thousands | 1.4 |
| February 2025 | 57.10 thousands | 0.9 |
| January 2025 | 57.00 thousands | 0.5 |
| December 2024 | 57.10 thousands | 0.7 |
| November 2024 | 57.10 thousands | 0.5 |
| October 2024 | 56.90 thousands | 0.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12580.PAYEMS.M.NSA.IND-55520000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12580.PAYEMS.M.NSA.IND-55520000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```