# All Employees: Architectural, Engineering, and Related Services — NC (statewide) (NSA)

All Employees: Architectural, Engineering, and Related Services — NC (statewide) (NSA) was up 4.4% year on year in September 2026, compared with 5.1% in August 2026.
The level stood at 54.20 thousands.
Over the past ten years it has ranged from −3.1% (Jul 2020) to 9.8% (Oct 2018), averaging 5.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-NC.PAYEMS.M.NSA.IND-60541300`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-architectural-engineering-and-related-services-nc

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 54.20 thousands | 4.4 |
| August 2026 | 55.40 thousands | 5.1 |
| July 2026 | 55.30 thousands | 4.3 |
| June 2026 | 55.10 thousands | 5.0 |
| May 2026 | 54.40 thousands | 5.2 |
| April 2026 | 54.10 thousands | 5.7 |
| March 2026 | 52.80 thousands | 4.1 |
| February 2026 | 53.20 thousands | 4.7 |
| January 2026 | 52.80 thousands | 4.1 |
| December 2025 | 53.00 thousands | 3.3 |
| November 2025 | 52.80 thousands | 2.9 |
| October 2025 | 52.60 thousands | 3.1 |
| September 2025 | 51.90 thousands | 2.6 |
| August 2025 | 52.70 thousands | 2.3 |
| July 2025 | 53.00 thousands | 2.7 |
| June 2025 | 52.50 thousands | 2.1 |
| May 2025 | 51.70 thousands | 1.4 |
| April 2025 | 51.20 thousands | 1.0 |
| March 2025 | 50.70 thousands | 0.8 |
| February 2025 | 50.80 thousands | 0.8 |
| January 2025 | 50.70 thousands | 1.4 |
| December 2024 | 51.30 thousands | 2.0 |
| November 2024 | 51.30 thousands | 3.0 |
| October 2024 | 51.00 thousands | 2.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-NC.PAYEMS.M.NSA.IND-60541300"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-NC.PAYEMS.M.NSA.IND-60541300",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```