# All Employees: Government — TX (statewide) (NSA)

All Employees: Government — TX (statewide) (NSA) was down 0.5% year on year in September 2026, compared with 0.4% in August 2026.
The level stood at 2,117.6 thousands.
That is the lowest reading since August 2021.
Over the past ten years it has ranged from −3.0% (Mar 2021) to 4.1% (Mar 2024), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TX.PAYEMS.M.NSA.IND-90000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-government-tx-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 2,117.6 thousands | −0.5 |
| August 2026 | 2,068.2 thousands | 0.4 |
| July 2026 | 2,039.1 thousands | −0.01 |
| June 2026 | 2,114.3 thousands | −0.2 |
| May 2026 | 2,162.6 thousands | 0.3 |
| April 2026 | 2,158.6 thousands | 0.2 |
| March 2026 | 2,157.8 thousands | 0.02 |
| February 2026 | 2,152.8 thousands | −0.07 |
| January 2026 | 2,123.3 thousands | −0.2 |
| December 2025 | 2,161.4 thousands | 0.4 |
| November 2025 | 2,164.0 thousands | 0.09 |
| October 2025 | 2,155.1 thousands | 0.5 |
| September 2025 | 2,127.2 thousands | 0.9 |
| August 2025 | 2,060.1 thousands | 0.4 |
| July 2025 | 2,039.4 thousands | 0.5 |
| June 2025 | 2,118.1 thousands | 0.9 |
| May 2025 | 2,156.8 thousands | 1.0 |
| April 2025 | 2,154.8 thousands | 1.2 |
| March 2025 | 2,157.4 thousands | 1.3 |
| February 2025 | 2,154.3 thousands | 1.5 |
| January 2025 | 2,127.8 thousands | 1.8 |
| December 2024 | 2,152.5 thousands | 1.8 |
| November 2024 | 2,162.1 thousands | 2.2 |
| October 2024 | 2,144.0 thousands | 2.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-90000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TX.PAYEMS.M.NSA.IND-90000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```