# United States All employees, thousands, chemical manufacturing, not seasonally adjusted

United States All employees, thousands, chemical manufacturing, not seasonally adjusted was up 0.5% year on year in October 2026, compared with 0.6% in September 2026.
The level stood at 906.7 thousands.
Over the past ten years it has ranged from −2.2% (Nov 2023) to 4.5% (Apr 2021), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-32325000`
- 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-chemical-manufacturing-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| October 2026 | 906.7 thousands | 0.5 |
| September 2026 | 905.9 thousands | 0.6 |
| August 2026 | 908.7 thousands | 0.5 |
| July 2026 | 909.2 thousands | 0.3 |
| June 2026 | 904.9 thousands | 0.10 |
| May 2026 | 897.8 thousands | −0.2 |
| April 2026 | 895.7 thousands | −0.1 |
| March 2026 | 894.0 thousands | −0.5 |
| February 2026 | 897.7 thousands | 0.08 |
| January 2026 | 893.9 thousands | −0.1 |
| December 2025 | 901.4 thousands | 0.2 |
| November 2025 | 901.1 thousands | 0.9 |
| October 2025 | 902.0 thousands | 0.9 |
| September 2025 | 900.3 thousands | 0.6 |
| August 2025 | 904.3 thousands | 0.4 |
| July 2025 | 906.3 thousands | 0.2 |
| June 2025 | 904.0 thousands | 0.4 |
| May 2025 | 899.6 thousands | 0.2 |
| April 2025 | 896.9 thousands | 0.3 |
| March 2025 | 898.8 thousands | 0.2 |
| February 2025 | 897.0 thousands | 0.4 |
| January 2025 | 895.2 thousands | 0.5 |
| December 2024 | 899.4 thousands | 0.5 |
| November 2024 | 893.1 thousands | 0.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-32325000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-32325000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```