# All Employees: Administrative and Support Services — Houma-Bayou Cane-Thibodaux, LA (NSA)

All Employees: Administrative and Support Services — Houma-Bayou Cane-Thibodaux, LA (NSA) was up 2.4% year on year in September 2026, compared with 2.3% in August 2026.
The level stood at 4.30 thousands.
Over the past ten years it has ranged from −22.2% (Jun 2020) to 35.5% (Feb 2025), averaging 4.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26380.PAYEMS.M.NSA.IND-60561000`
- Frequency: monthly
- Units: thousands
- Coverage: 2004-01-01 to 2026-09-01 (273 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-administrative-and-support-services-houma-bayou-cane

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 4.30 thousands | 2.4 |
| August 2026 | 4.40 thousands | 2.3 |
| July 2026 | 4.40 thousands | 2.3 |
| June 2026 | 4.30 thousands | 0.0 |
| May 2026 | 4.40 thousands | 2.3 |
| April 2026 | 4.30 thousands | 2.4 |
| March 2026 | 4.30 thousands | 2.4 |
| February 2026 | 4.20 thousands | 0.0 |
| January 2026 | 4.20 thousands | 2.4 |
| December 2025 | 4.20 thousands | 10.5 |
| November 2025 | 4.30 thousands | 7.5 |
| October 2025 | 4.30 thousands | 10.3 |
| September 2025 | 4.20 thousands | 10.5 |
| August 2025 | 4.30 thousands | 10.3 |
| July 2025 | 4.30 thousands | 13.2 |
| June 2025 | 4.30 thousands | 19.4 |
| May 2025 | 4.30 thousands | 19.4 |
| April 2025 | 4.20 thousands | 23.5 |
| March 2025 | 4.20 thousands | 31.2 |
| February 2025 | 4.20 thousands | 35.5 |
| January 2025 | 4.10 thousands | 32.3 |
| December 2024 | 3.80 thousands | 22.6 |
| November 2024 | 4.00 thousands | 25.0 |
| October 2024 | 3.90 thousands | 25.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26380.PAYEMS.M.NSA.IND-60561000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26380.PAYEMS.M.NSA.IND-60561000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
