# United States All employees, thousands, textile product mills, not seasonally adjusted

United States All employees, thousands, textile product mills, not seasonally adjusted was up 0.1% year on year in October 2026, compared with 1.3% in September 2026.
The level stood at 92.80 thousands.
Over the past ten years it has ranged from −25.2% (Apr 2020) to 21.2% (Apr 2021), averaging −2.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-32314000`
- 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-textile-product-mills-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 92.80 thousands | 0.1 |
| September 2026 | 93.40 thousands | 1.3 |
| August 2026 | 93.50 thousands | 1.3 |
| July 2026 | 92.80 thousands | 2.3 |
| June 2026 | 93.80 thousands | −0.2 |
| May 2026 | 93.20 thousands | −0.6 |
| April 2026 | 93.60 thousands | 0.1 |
| March 2026 | 94.20 thousands | −0.1 |
| February 2026 | 94.60 thousands | −0.2 |
| January 2026 | 94.50 thousands | −0.5 |
| December 2025 | 94.10 thousands | −2.1 |
| November 2025 | 92.90 thousands | −3.1 |
| October 2025 | 92.70 thousands | −3.7 |
| September 2025 | 92.20 thousands | −4.4 |
| August 2025 | 92.30 thousands | −4.4 |
| July 2025 | 90.70 thousands | −8.0 |
| June 2025 | 94.00 thousands | −5.4 |
| May 2025 | 93.80 thousands | −6.6 |
| April 2025 | 93.50 thousands | −7.0 |
| March 2025 | 94.30 thousands | −4.1 |
| February 2025 | 94.80 thousands | −4.0 |
| January 2025 | 95.00 thousands | −3.7 |
| December 2024 | 96.10 thousands | −2.1 |
| November 2024 | 95.90 thousands | −2.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-32314000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-32314000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```