# All Employees: State Government — Dallas-Plano-Irving, TX Metropolitan Division (NSA)

All Employees: State Government — Dallas-Plano-Irving, TX Metropolitan Division (NSA) was up 3.9% year on year in September 2026, compared with 4.4% in August 2026.
The level stood at 71.80 thousands.
Over the past ten years it has ranged from −3.5% (Dec 2020) to 9.6% (Apr 2017), averaging 4.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19124.PAYEMS.M.NSA.IND-90920000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-state-government-dallas-plano-irving-tx-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 71.80 thousands | 3.9 |
| August 2026 | 69.30 thousands | 4.4 |
| July 2026 | 68.40 thousands | 4.4 |
| June 2026 | 70.80 thousands | 4.0 |
| May 2026 | 76.10 thousands | 4.7 |
| April 2026 | 76.30 thousands | 4.7 |
| March 2026 | 75.50 thousands | 4.3 |
| February 2026 | 74.50 thousands | 4.3 |
| January 2026 | 73.70 thousands | 3.9 |
| December 2025 | 75.50 thousands | 4.1 |
| November 2025 | 76.10 thousands | 4.1 |
| October 2025 | 75.40 thousands | 3.9 |
| September 2025 | 69.10 thousands | 4.1 |
| August 2025 | 66.40 thousands | 2.6 |
| July 2025 | 65.50 thousands | 2.7 |
| June 2025 | 68.10 thousands | 3.7 |
| May 2025 | 72.70 thousands | 1.7 |
| April 2025 | 72.90 thousands | 1.5 |
| March 2025 | 72.40 thousands | 2.4 |
| February 2025 | 71.40 thousands | 2.1 |
| January 2025 | 70.90 thousands | 3.4 |
| December 2024 | 72.50 thousands | 2.4 |
| November 2024 | 73.10 thousands | 2.8 |
| October 2024 | 72.60 thousands | 3.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19124.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19124.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```