# All Employees: Furniture, Home Furnishings, Electronics, and Appliance Retailers — PA (statewide) (NSA)

All Employees: Furniture, Home Furnishings, Electronics, and Appliance Retailers — PA (statewide) (NSA) was down 3.7% year on year in September 2026, compared with −2.9% in August 2026.
The level stood at 23.40 thousands.
Over the past ten years it has ranged from −42.7% (Apr 2020) to 52.9% (Apr 2021), averaging −2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-PA.PAYEMS.M.NSA.IND-42449000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-furniture-home-furnishings-electronics-and-appliance-us-pa-payems-m-nsa-ind-42449000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 23.40 thousands | −3.7 |
| August 2026 | 23.60 thousands | −2.9 |
| July 2026 | 23.60 thousands | −2.9 |
| June 2026 | 23.60 thousands | −2.1 |
| May 2026 | 23.60 thousands | −2.5 |
| April 2026 | 23.70 thousands | −3.3 |
| March 2026 | 24.00 thousands | −3.2 |
| February 2026 | 23.80 thousands | −4.4 |
| January 2026 | 24.20 thousands | −4.3 |
| December 2025 | 25.70 thousands | −1.9 |
| November 2025 | 25.20 thousands | −3.1 |
| October 2025 | 24.70 thousands | −3.1 |
| September 2025 | 24.30 thousands | −3.6 |
| August 2025 | 24.30 thousands | −3.6 |
| July 2025 | 24.30 thousands | −3.6 |
| June 2025 | 24.10 thousands | −5.9 |
| May 2025 | 24.20 thousands | −5.5 |
| April 2025 | 24.50 thousands | −4.7 |
| March 2025 | 24.80 thousands | −4.6 |
| February 2025 | 24.90 thousands | −4.2 |
| January 2025 | 25.30 thousands | −4.5 |
| December 2024 | 26.20 thousands | −4.0 |
| November 2024 | 26.00 thousands | −4.4 |
| October 2024 | 25.50 thousands | −3.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-42449000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-PA.PAYEMS.M.NSA.IND-42449000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```