# All Employees: Social Assistance — Boston, MA Metropolitan Division (NSA)

All Employees: Social Assistance — Boston, MA Metropolitan Division (NSA) was down 0.7% year on year in September 2026, compared with −1.6% in August 2026.
The level stood at 43.10 thousands.
Over the past ten years it has ranged from −16.3% (Jun 2020) to 15.3% (Apr 2021), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-14454.PAYEMS.M.NSA.IND-65624000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-social-assistance-boston-ma-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 43.10 thousands | −0.7 |
| August 2026 | 43.90 thousands | −1.6 |
| July 2026 | 43.80 thousands | −2.4 |
| June 2026 | 43.60 thousands | 0.2 |
| May 2026 | 43.40 thousands | −1.6 |
| April 2026 | 43.50 thousands | −1.1 |
| March 2026 | 43.60 thousands | −1.8 |
| February 2026 | 43.50 thousands | −1.6 |
| January 2026 | 43.90 thousands | −2.0 |
| December 2025 | 44.00 thousands | −0.9 |
| November 2025 | 43.60 thousands | −1.1 |
| October 2025 | 43.90 thousands | 0.2 |
| September 2025 | 43.40 thousands | 1.9 |
| August 2025 | 44.60 thousands | 1.4 |
| July 2025 | 44.90 thousands | 3.5 |
| June 2025 | 43.50 thousands | 1.4 |
| May 2025 | 44.10 thousands | 1.6 |
| April 2025 | 44.00 thousands | 2.3 |
| March 2025 | 44.40 thousands | 3.0 |
| February 2025 | 44.20 thousands | 4.0 |
| January 2025 | 44.80 thousands | 5.4 |
| December 2024 | 44.40 thousands | 2.5 |
| November 2024 | 44.10 thousands | 1.6 |
| October 2024 | 43.80 thousands | 3.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-14454.PAYEMS.M.NSA.IND-65624000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-14454.PAYEMS.M.NSA.IND-65624000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```