# All Employees: Private Service Providing — Allentown-Bethlehem-Easton, PA-NJ (NSA)

All Employees: Private Service Providing — Allentown-Bethlehem-Easton, PA-NJ (NSA) was up 1.3% year on year in September 2026, compared with 2.2% in August 2026.
The level stood at 314.0 thousands.
Over the past ten years it has ranged from −20.0% (Apr 2020) to 20.8% (Apr 2021), averaging 1.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-10900.PAYEMS.M.NSA.IND-08000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-private-service-providing-allentown-bethlehem-easton-pa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 314.0 thousands | 1.3 |
| August 2026 | 315.4 thousands | 2.2 |
| July 2026 | 314.5 thousands | 1.8 |
| June 2026 | 314.1 thousands | 1.5 |
| May 2026 | 312.9 thousands | 1.4 |
| April 2026 | 310.5 thousands | 1.4 |
| March 2026 | 307.7 thousands | 1.0 |
| February 2026 | 305.1 thousands | 0.7 |
| January 2026 | 306.5 thousands | 1.7 |
| December 2025 | 314.5 thousands | 1.9 |
| November 2025 | 313.0 thousands | 1.9 |
| October 2025 | 312.5 thousands | 1.9 |
| September 2025 | 310.0 thousands | 1.7 |
| August 2025 | 308.7 thousands | 2.1 |
| July 2025 | 308.9 thousands | 2.1 |
| June 2025 | 309.5 thousands | 2.1 |
| May 2025 | 308.6 thousands | 1.9 |
| April 2025 | 306.1 thousands | 2.1 |
| March 2025 | 304.8 thousands | 2.2 |
| February 2025 | 302.9 thousands | 2.5 |
| January 2025 | 301.4 thousands | 2.3 |
| December 2024 | 308.7 thousands | 2.5 |
| November 2024 | 307.3 thousands | 2.7 |
| October 2024 | 306.6 thousands | 2.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-10900.PAYEMS.M.NSA.IND-08000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-10900.PAYEMS.M.NSA.IND-08000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```