# All Employees: Administrative and Support Services — TX (statewide) (NSA)

All Employees: Administrative and Support Services — TX (statewide) (NSA) was up 4.7% year on year in September 2026, compared with 5.1% in August 2026.
The level stood at 890.2 thousands.
Over the past ten years it has ranged from −12.4% (Apr 2020) to 16.3% (Apr 2021), averaging 1.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-60561000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-administrative-and-support-services-tx-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 890.2 thousands | 4.7 |
| August 2026 | 893.3 thousands | 5.1 |
| July 2026 | 885.9 thousands | 5.8 |
| June 2026 | 886.2 thousands | 5.3 |
| May 2026 | 873.8 thousands | 3.0 |
| April 2026 | 870.9 thousands | 3.6 |
| March 2026 | 862.3 thousands | 4.2 |
| February 2026 | 850.3 thousands | 2.7 |
| January 2026 | 839.8 thousands | 1.8 |
| December 2025 | 853.7 thousands | 0.2 |
| November 2025 | 852.4 thousands | −1.6 |
| October 2025 | 849.5 thousands | −1.7 |
| September 2025 | 850.1 thousands | −0.3 |
| August 2025 | 849.8 thousands | −0.2 |
| July 2025 | 837.2 thousands | 0.2 |
| June 2025 | 841.8 thousands | −0.7 |
| May 2025 | 848.3 thousands | −0.3 |
| April 2025 | 840.4 thousands | −0.5 |
| March 2025 | 827.4 thousands | −1.9 |
| February 2025 | 827.6 thousands | −0.9 |
| January 2025 | 825.0 thousands | −0.7 |
| December 2024 | 851.9 thousands | −0.2 |
| November 2024 | 866.1 thousands | −0.4 |
| October 2024 | 864.0 thousands | −0.3 |

## API

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

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