# All Employees: Trade, Transportation, and Utilities — Allentown-Bethlehem-Easton, PA-NJ (NSA)

All Employees: Trade, Transportation, and Utilities — Allentown-Bethlehem-Easton, PA-NJ (NSA) was up 0.7% year on year in September 2026, compared with 0.1% in August 2026.
The level stood at 88.90 thousands.
That is the highest reading since September 2024.
Over the past ten years it has ranged from −13.6% (Apr 2020) to 19.1% (Apr 2021), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-10900.PAYEMS.M.NSA.IND-40000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-trade-transportation-and-utilities-allentown-bethlehem

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 88.90 thousands | 0.7 |
| August 2026 | 88.80 thousands | 0.1 |
| July 2026 | 87.90 thousands | −1.1 |
| June 2026 | 87.70 thousands | −1.2 |
| May 2026 | 87.90 thousands | −0.6 |
| April 2026 | 87.60 thousands | −0.6 |
| March 2026 | 87.40 thousands | −1.7 |
| February 2026 | 87.10 thousands | −1.8 |
| January 2026 | 89.10 thousands | −0.6 |
| December 2025 | 92.90 thousands | 0.4 |
| November 2025 | 92.20 thousands | 0.3 |
| October 2025 | 89.80 thousands | −0.3 |
| September 2025 | 88.30 thousands | −1.0 |
| August 2025 | 88.70 thousands | −0.1 |
| July 2025 | 88.90 thousands | 0.1 |
| June 2025 | 88.80 thousands | −0.2 |
| May 2025 | 88.40 thousands | −0.7 |
| April 2025 | 88.10 thousands | −0.5 |
| March 2025 | 88.90 thousands | 0.5 |
| February 2025 | 88.70 thousands | 0.1 |
| January 2025 | 89.60 thousands | −0.6 |
| December 2024 | 92.50 thousands | −0.8 |
| November 2024 | 91.90 thousands | −0.6 |
| October 2024 | 90.10 thousands | 0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-10900.PAYEMS.M.NSA.IND-40000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-10900.PAYEMS.M.NSA.IND-40000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```