# Employment: Pittsburgh, PA Metropolitan Statistical Area (U)

Employment: Pittsburgh, PA Metropolitan Statistical Area (U) was down 1.0% year on year in September 2025, compared with −0.9% in August 2025.
The level stood at 1,201,338 thousands.
Over the past ten years it has ranged from −16.1% (Apr 2020) to 12.7% (Apr 2021), averaging −0.10%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38300.EMP.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (440 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/employment-pittsburgh-pa-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,201,338 thousands | — |
| August 2026 | 1,204,355 thousands | — |
| July 2026 | 1,208,761 thousands | — |
| June 2026 | 1,207,259 thousands | — |
| May 2026 | 1,201,208 thousands | — |
| April 2026 | 1,195,672 thousands | — |
| March 2026 | 1,185,107 thousands | — |
| February 2026 | 1,167,033 thousands | — |
| January 2026 | 1,172,872 thousands | — |
| December 2025 | 1,180,306 thousands | — |
| November 2025 | 1,188,292 thousands | — |
| September 2025 | 1,176,582 thousands | −1.0 |
| August 2025 | 1,175,137 thousands | −0.9 |
| July 2025 | 1,182,293 thousands | −1.4 |
| June 2025 | 1,179,544 thousands | −1.2 |
| May 2025 | 1,177,119 thousands | −1.7 |
| April 2025 | 1,178,960 thousands | −1.5 |
| March 2025 | 1,173,439 thousands | −2.2 |
| February 2025 | 1,163,379 thousands | −2.4 |
| January 2025 | 1,163,309 thousands | −2.0 |
| December 2024 | 1,169,867 thousands | −1.5 |
| November 2024 | 1,178,077 thousands | −1.9 |
| October 2024 | 1,185,757 thousands | −1.0 |
| September 2024 | 1,188,026 thousands | −0.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38300.EMP.M.NSA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38300.EMP.M.NSA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```