# All Employees: Telecommunications — Baltimore-Columbia-Towson, MD (NSA)

All Employees: Telecommunications — Baltimore-Columbia-Towson, MD (NSA) was down 6.5% year on year in September 2026, compared with −6.5% in August 2026.
The level stood at 2.90 thousands.
Over the past ten years it has ranged from −28.6% (Mar 2025) to 10.3% (Feb 2017), averaging −6.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-12580.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-baltimore-columbia-towson-md-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2.90 thousands | −6.5 |
| August 2026 | 2.90 thousands | −6.5 |
| July 2026 | 3.00 thousands | −3.2 |
| June 2026 | 3.00 thousands | −3.2 |
| May 2026 | 3.00 thousands | 0.0 |
| April 2026 | 3.00 thousands | 0.0 |
| March 2026 | 3.00 thousands | 0.0 |
| February 2026 | 2.90 thousands | −6.5 |
| January 2026 | 3.00 thousands | −6.2 |
| December 2025 | 3.10 thousands | −6.1 |
| November 2025 | 3.10 thousands | −6.1 |
| October 2025 | 3.20 thousands | −5.9 |
| September 2025 | 3.10 thousands | −13.9 |
| August 2025 | 3.10 thousands | −18.4 |
| July 2025 | 3.10 thousands | −18.4 |
| June 2025 | 3.10 thousands | −20.5 |
| May 2025 | 3.00 thousands | −25.0 |
| April 2025 | 3.00 thousands | −26.8 |
| March 2025 | 3.00 thousands | −28.6 |
| February 2025 | 3.10 thousands | −26.2 |
| January 2025 | 3.20 thousands | −25.6 |
| December 2024 | 3.30 thousands | −23.3 |
| November 2024 | 3.30 thousands | −23.3 |
| October 2024 | 3.40 thousands | −22.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-12580.PAYEMS.M.NSA.IND-50517000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-12580.PAYEMS.M.NSA.IND-50517000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```