# United States All employees, thousands, apparel manufacturing, seasonally adjusted

United States All employees, thousands, apparel manufacturing, seasonally adjusted was down 8.8% year on year in October 2026, compared with −9.0% in September 2026.
The level stood at 71.20 thousands.
Over the past ten years it has ranged from −36.1% (Apr 2020) to 28.4% (Apr 2021), averaging −5.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-32315000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-10-01 (442 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-apparel-manufacturing-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 71.20 thousands | −8.8 |
| September 2026 | 71.60 thousands | −9.0 |
| August 2026 | 72.10 thousands | −8.4 |
| July 2026 | 72.20 thousands | −8.6 |
| June 2026 | 72.60 thousands | −8.1 |
| May 2026 | 72.80 thousands | −8.5 |
| April 2026 | 73.20 thousands | −8.8 |
| March 2026 | 74.40 thousands | −8.1 |
| February 2026 | 73.80 thousands | −9.1 |
| January 2026 | 74.50 thousands | −8.9 |
| December 2025 | 75.20 thousands | −7.8 |
| November 2025 | 75.40 thousands | −7.9 |
| October 2025 | 78.10 thousands | −4.8 |
| September 2025 | 78.70 thousands | −4.7 |
| August 2025 | 78.70 thousands | −5.4 |
| July 2025 | 79.00 thousands | −5.6 |
| June 2025 | 79.00 thousands | −5.4 |
| May 2025 | 79.60 thousands | −5.2 |
| April 2025 | 80.30 thousands | −4.1 |
| March 2025 | 81.00 thousands | −4.4 |
| February 2025 | 81.20 thousands | −5.8 |
| January 2025 | 81.80 thousands | −6.4 |
| December 2024 | 81.60 thousands | −7.4 |
| November 2024 | 81.90 thousands | −7.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32315000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-32315000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```