# All Employees: Private Education and Health Services — Pittsburgh, PA (NSA)

All Employees: Private Education and Health Services — Pittsburgh, PA (NSA) was up 1.4% year on year in September 2026, compared with 2.5% in August 2026.
The level stood at 274.4 thousands.
Over the past ten years it has ranged from −12.1% (Apr 2020) to 4.4% (Apr 2021), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-38300.PAYEMS.M.NSA.IND-65000000`
- 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-education-and-health-services-pittsburgh-pa-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 274.4 thousands | 1.4 |
| August 2026 | 267.7 thousands | 2.5 |
| July 2026 | 267.5 thousands | 2.9 |
| June 2026 | 267.9 thousands | 2.5 |
| May 2026 | 271.1 thousands | 1.8 |
| April 2026 | 274.9 thousands | 1.2 |
| March 2026 | 275.1 thousands | 1.3 |
| February 2026 | 272.9 thousands | 0.6 |
| January 2026 | 271.6 thousands | 1.8 |
| December 2025 | 273.8 thousands | 1.7 |
| November 2025 | 274.5 thousands | 1.4 |
| October 2025 | 272.6 thousands | 1.3 |
| September 2025 | 270.5 thousands | 1.6 |
| August 2025 | 261.1 thousands | 2.2 |
| July 2025 | 260.0 thousands | 1.3 |
| June 2025 | 261.4 thousands | 1.8 |
| May 2025 | 266.2 thousands | 2.1 |
| April 2025 | 271.7 thousands | 2.3 |
| March 2025 | 271.5 thousands | 2.7 |
| February 2025 | 271.3 thousands | 2.9 |
| January 2025 | 266.7 thousands | 2.9 |
| December 2024 | 269.2 thousands | 3.1 |
| November 2024 | 270.7 thousands | 3.1 |
| October 2024 | 269.0 thousands | 3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-38300.PAYEMS.M.NSA.IND-65000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-38300.PAYEMS.M.NSA.IND-65000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```