# United States All employees, thousands, natural gas distribution, not seasonally adjusted

United States All employees, thousands, natural gas distribution, not seasonally adjusted was down 2.0% year on year in September 2026, compared with −2.6% in August 2026.
The level stood at 115.6 thousands.
Over the past ten years it has ranged from −3.0% (Sep 2018) to 3.3% (Feb 2024), averaging 0.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-44221200`
- 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-natural-gas-distribution-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 115.6 thousands | −2.0 |
| August 2026 | 115.6 thousands | −2.6 |
| July 2026 | 116.0 thousands | −2.1 |
| June 2026 | 116.2 thousands | −2.3 |
| May 2026 | 115.3 thousands | −2.4 |
| April 2026 | 116.2 thousands | −1.1 |
| March 2026 | 116.4 thousands | −1.0 |
| February 2026 | 116.7 thousands | −0.7 |
| January 2026 | 116.3 thousands | −1.0 |
| December 2025 | 118.1 thousands | 0.6 |
| November 2025 | 117.9 thousands | 0.5 |
| October 2025 | 117.8 thousands | 0.3 |
| September 2025 | 118.0 thousands | 0.7 |
| August 2025 | 118.7 thousands | 1.9 |
| July 2025 | 118.5 thousands | 1.9 |
| June 2025 | 118.9 thousands | 2.0 |
| May 2025 | 118.1 thousands | 1.5 |
| April 2025 | 117.5 thousands | 1.2 |
| March 2025 | 117.6 thousands | 1.0 |
| February 2025 | 117.5 thousands | 1.1 |
| January 2025 | 117.5 thousands | 1.6 |
| December 2024 | 117.4 thousands | 1.6 |
| November 2024 | 117.3 thousands | 1.9 |
| October 2024 | 117.5 thousands | 2.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-44221200"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-44221200",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```