# All Employees: Telecommunications — Newark, NJ Metropolitan Division (NSA)

All Employees: Telecommunications — Newark, NJ Metropolitan Division (NSA) was down 8.9% year on year in September 2026, compared with −10.6% in August 2026.
The level stood at 4.10 thousands.
Over the past ten years it has ranged from −22.7% (Jun 2019) to 12.7% (May 2017), averaging −7.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-35084.PAYEMS.M.NSA.IND-50517000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-telecommunications-newark-nj-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4.10 thousands | −8.9 |
| August 2026 | 4.20 thousands | −10.6 |
| July 2026 | 4.20 thousands | −8.7 |
| June 2026 | 4.20 thousands | −8.7 |
| May 2026 | 4.30 thousands | −8.5 |
| April 2026 | 4.30 thousands | −6.5 |
| March 2026 | 4.30 thousands | −6.5 |
| February 2026 | 4.30 thousands | −6.5 |
| January 2026 | 4.30 thousands | −10.4 |
| December 2025 | 4.40 thousands | −8.3 |
| November 2025 | 4.40 thousands | −10.2 |
| October 2025 | 4.40 thousands | −8.3 |
| September 2025 | 4.50 thousands | −10.0 |
| August 2025 | 4.70 thousands | −7.8 |
| July 2025 | 4.60 thousands | −9.8 |
| June 2025 | 4.60 thousands | −16.4 |
| May 2025 | 4.70 thousands | −14.5 |
| April 2025 | 4.60 thousands | −17.9 |
| March 2025 | 4.60 thousands | −17.9 |
| February 2025 | 4.60 thousands | −17.9 |
| January 2025 | 4.80 thousands | −14.3 |
| December 2024 | 4.80 thousands | −9.4 |
| November 2024 | 4.90 thousands | −7.5 |
| October 2024 | 4.80 thousands | −15.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-50517000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-35084.PAYEMS.M.NSA.IND-50517000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```