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

All Employees: Other Services — Dallas-Plano-Irving, TX Metropolitan Division (NSA) was up 0.5% year on year in September 2026, compared with 0.2% in August 2026.
The level stood at 99.80 thousands.
Over the past ten years it has ranged from −26.7% (Apr 2020) to 25.7% (Apr 2021), averaging 2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19124.PAYEMS.M.NSA.IND-80000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-other-services-dallas-plano-irving-tx-metropolitan

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 99.80 thousands | 0.5 |
| August 2026 | 99.90 thousands | 0.2 |
| July 2026 | 101.7 thousands | 1.0 |
| June 2026 | 102.1 thousands | 1.1 |
| May 2026 | 101.2 thousands | 0.5 |
| April 2026 | 99.80 thousands | 0.1 |
| March 2026 | 98.50 thousands | −0.3 |
| February 2026 | 98.50 thousands | 0.2 |
| January 2026 | 99.00 thousands | 0.8 |
| December 2025 | 100.0 thousands | 0.8 |
| November 2025 | 100.1 thousands | 1.1 |
| October 2025 | 99.80 thousands | 0.7 |
| September 2025 | 99.30 thousands | 0.2 |
| August 2025 | 99.70 thousands | 0.7 |
| July 2025 | 100.7 thousands | 0.8 |
| June 2025 | 101.0 thousands | 0.5 |
| May 2025 | 100.7 thousands | 2.3 |
| April 2025 | 99.70 thousands | 2.7 |
| March 2025 | 98.80 thousands | 2.5 |
| February 2025 | 98.30 thousands | 2.9 |
| January 2025 | 98.20 thousands | 3.7 |
| December 2024 | 99.20 thousands | 4.8 |
| November 2024 | 99.00 thousands | 4.8 |
| October 2024 | 99.10 thousands | 5.0 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19124.PAYEMS.M.NSA.IND-80000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19124.PAYEMS.M.NSA.IND-80000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```