# All Employees: Finance and Insurance — MA (statewide) (NSA)

All Employees: Finance and Insurance — MA (statewide) (NSA) was up 0.5% year on year in September 2026, compared with −1.2% in August 2026.
The level stood at 175.2 thousands.
That is the highest reading since September 2023.
Over the past ten years it has ranged from −2.3% (Aug 2024) to 1.8% (Apr 2021), averaging −0.08%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-MA.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-ma-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 175.2 thousands | 0.5 |
| August 2026 | 174.9 thousands | −1.2 |
| July 2026 | 175.0 thousands | −1.6 |
| June 2026 | 175.6 thousands | −1.2 |
| May 2026 | 173.3 thousands | −1.3 |
| April 2026 | 173.0 thousands | −1.5 |
| March 2026 | 173.9 thousands | −1.4 |
| February 2026 | 174.0 thousands | −1.4 |
| January 2026 | 174.0 thousands | −1.1 |
| December 2025 | 174.8 thousands | −1.4 |
| November 2025 | 175.4 thousands | −0.9 |
| October 2025 | 174.8 thousands | −1.0 |
| September 2025 | 174.4 thousands | −1.0 |
| August 2025 | 177.0 thousands | −0.9 |
| July 2025 | 177.8 thousands | −1.1 |
| June 2025 | 177.8 thousands | −0.8 |
| May 2025 | 175.5 thousands | −0.7 |
| April 2025 | 175.7 thousands | −0.6 |
| March 2025 | 176.3 thousands | −0.7 |
| February 2025 | 176.4 thousands | −0.7 |
| January 2025 | 176.0 thousands | −1.2 |
| December 2024 | 177.3 thousands | −1.5 |
| November 2024 | 177.0 thousands | −1.5 |
| October 2024 | 176.6 thousands | −1.7 |

## API

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

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