# United States All employees, thousands, electrical equipment manufacturing, seasonally adjusted

United States All employees, thousands, electrical equipment manufacturing, seasonally adjusted was up 4.0% year on year in September 2026, compared with 4.6% in August 2026.
The level stood at 169.6 thousands.
Over the past ten years it has ranged from −9.4% (Aug 2020) to 6.6% (Jul 2024), averaging 1.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-31335300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-electrical-equipment-manufacturing-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 169.6 thousands | 4.0 |
| August 2026 | 169.2 thousands | 4.6 |
| July 2026 | 168.3 thousands | 4.0 |
| June 2026 | 167.7 thousands | 3.7 |
| May 2026 | 167.2 thousands | 4.3 |
| April 2026 | 167.1 thousands | 4.7 |
| March 2026 | 166.3 thousands | 4.3 |
| February 2026 | 165.9 thousands | 4.7 |
| January 2026 | 166.0 thousands | 5.5 |
| December 2025 | 165.2 thousands | 5.2 |
| November 2025 | 164.8 thousands | 4.8 |
| October 2025 | 164.0 thousands | 4.3 |
| September 2025 | 163.1 thousands | 4.2 |
| August 2025 | 161.7 thousands | 3.7 |
| July 2025 | 161.8 thousands | 3.7 |
| June 2025 | 161.7 thousands | 3.9 |
| May 2025 | 160.3 thousands | 3.1 |
| April 2025 | 159.6 thousands | 2.8 |
| March 2025 | 159.5 thousands | 3.4 |
| February 2025 | 158.4 thousands | 2.9 |
| January 2025 | 157.3 thousands | 3.0 |
| December 2024 | 157.1 thousands | 3.4 |
| November 2024 | 157.3 thousands | 4.2 |
| October 2024 | 157.2 thousands | 4.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-31335300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-31335300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```