# All Employees: Professional and Business Services — TN (statewide) (NSA)

All Employees: Professional and Business Services — TN (statewide) (NSA) was up 1.0% year on year in September 2026, compared with 0.8% in August 2026.
The level stood at 450.2 thousands.
Over the past ten years it has ranged from −9.0% (Apr 2020) to 10.8% (May 2021), averaging 1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-TN.PAYEMS.M.NSA.IND-60000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-professional-and-business-services-tn-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 450.2 thousands | 1.0 |
| August 2026 | 451.4 thousands | 0.8 |
| July 2026 | 452.2 thousands | 2.1 |
| June 2026 | 452.2 thousands | 1.9 |
| May 2026 | 449.9 thousands | 0.2 |
| April 2026 | 449.0 thousands | −0.1 |
| March 2026 | 447.5 thousands | 0.8 |
| February 2026 | 443.6 thousands | −0.05 |
| January 2026 | 440.0 thousands | −0.2 |
| December 2025 | 447.9 thousands | 0.07 |
| November 2025 | 449.7 thousands | −0.4 |
| October 2025 | 446.3 thousands | −0.6 |
| September 2025 | 445.8 thousands | −1.7 |
| August 2025 | 447.8 thousands | −1.7 |
| July 2025 | 443.1 thousands | −2.1 |
| June 2025 | 443.8 thousands | −2.6 |
| May 2025 | 448.8 thousands | −1.5 |
| April 2025 | 449.6 thousands | −1.4 |
| March 2025 | 443.8 thousands | −2.5 |
| February 2025 | 443.8 thousands | −2.1 |
| January 2025 | 440.7 thousands | −1.6 |
| December 2024 | 447.6 thousands | −3.0 |
| November 2024 | 451.7 thousands | −2.8 |
| October 2024 | 449.0 thousands | −2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-TN.PAYEMS.M.NSA.IND-60000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-TN.PAYEMS.M.NSA.IND-60000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```