# All Employees: Professional, Scientific, and Technical Services — Minneapolis-St. Paul-Bloomington, MN-WI (NSA)

All Employees: Professional, Scientific, and Technical Services — Minneapolis-St. Paul-Bloomington, MN-WI (NSA) was up 0.3% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 126.1 thousands.
Over the past ten years it has ranged from −5.3% (Aug 2020) to 4.2% (Jun 2022), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-33460.PAYEMS.M.NSA.IND-60540000`
- 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-scientific-and-technical-services-us-33460-payems-m-nsa-ind-60540000

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 126.1 thousands | 0.3 |
| August 2026 | 129.2 thousands | 1.2 |
| July 2026 | 128.8 thousands | 0.2 |
| June 2026 | 126.8 thousands | −0.6 |
| May 2026 | 125.4 thousands | −0.6 |
| April 2026 | 125.5 thousands | −1.6 |
| March 2026 | 123.9 thousands | −2.3 |
| February 2026 | 124.4 thousands | −2.4 |
| January 2026 | 123.7 thousands | −2.7 |
| December 2025 | 124.7 thousands | −2.9 |
| November 2025 | 125.4 thousands | −1.9 |
| October 2025 | 124.8 thousands | −2.3 |
| September 2025 | 125.7 thousands | −1.0 |
| August 2025 | 127.7 thousands | −0.9 |
| July 2025 | 128.6 thousands | −0.9 |
| June 2025 | 127.6 thousands | −1.6 |
| May 2025 | 126.2 thousands | −1.6 |
| April 2025 | 127.5 thousands | 0.2 |
| March 2025 | 126.8 thousands | −0.2 |
| February 2025 | 127.4 thousands | −0.2 |
| January 2025 | 127.1 thousands | 0.08 |
| December 2024 | 128.4 thousands | 0.9 |
| November 2024 | 127.8 thousands | −0.2 |
| October 2024 | 127.7 thousands | −0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-33460.PAYEMS.M.NSA.IND-60540000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-33460.PAYEMS.M.NSA.IND-60540000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```