# All Employees: Local Government — Allentown-Bethlehem-Easton, PA-NJ (NSA)

All Employees: Local Government — Allentown-Bethlehem-Easton, PA-NJ (NSA) was up 0.6% year on year in September 2026, compared with 0.3% in August 2026.
The level stood at 35.20 thousands.
Over the past ten years it has ranged from −10.6% (Jun 2020) to 6.7% (Aug 2024), averaging 0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-10900.PAYEMS.M.NSA.IND-90930000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-local-government-allentown-bethlehem-easton-pa-nj-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 35.20 thousands | 0.6 |
| August 2026 | 31.70 thousands | 0.3 |
| July 2026 | 30.70 thousands | 0.3 |
| June 2026 | 35.00 thousands | 0.3 |
| May 2026 | 35.70 thousands | 0.0 |
| April 2026 | 35.50 thousands | 0.3 |
| March 2026 | 35.60 thousands | 0.3 |
| February 2026 | 35.30 thousands | 0.3 |
| January 2026 | 34.70 thousands | 0.6 |
| December 2025 | 35.40 thousands | 0.3 |
| November 2025 | 35.70 thousands | 0.8 |
| October 2025 | 35.30 thousands | 0.6 |
| September 2025 | 35.00 thousands | 0.6 |
| August 2025 | 31.60 thousands | −0.6 |
| July 2025 | 30.60 thousands | 0.0 |
| June 2025 | 34.90 thousands | 2.3 |
| May 2025 | 35.70 thousands | 1.1 |
| April 2025 | 35.40 thousands | 1.1 |
| March 2025 | 35.50 thousands | 1.4 |
| February 2025 | 35.20 thousands | 1.1 |
| January 2025 | 34.50 thousands | 0.6 |
| December 2024 | 35.30 thousands | 1.1 |
| November 2024 | 35.40 thousands | 0.9 |
| October 2024 | 35.10 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-10900.PAYEMS.M.NSA.IND-90930000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-10900.PAYEMS.M.NSA.IND-90930000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```