# All Employees: Construction of Buildings — Charlotte-Concord-Gastonia, NC-SC (NSA)

All Employees: Construction of Buildings — Charlotte-Concord-Gastonia, NC-SC (NSA) was up 9.1% year on year in September 2026, compared with 8.9% in August 2026.
The level stood at 19.20 thousands.
Over the past ten years it has ranged from −4.9% (Sep 2020) to 14.8% (Nov 2019), averaging 4.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-16740.PAYEMS.M.NSA.IND-20236000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-construction-of-buildings-charlotte-concord-gastonia-nc

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 19.20 thousands | 9.1 |
| August 2026 | 19.50 thousands | 8.9 |
| July 2026 | 19.40 thousands | 8.4 |
| June 2026 | 19.60 thousands | 10.7 |
| May 2026 | 18.90 thousands | 8.6 |
| April 2026 | 18.80 thousands | 8.7 |
| March 2026 | 18.20 thousands | 7.1 |
| February 2026 | 18.00 thousands | 5.9 |
| January 2026 | 17.90 thousands | 6.5 |
| December 2025 | 18.00 thousands | 6.5 |
| November 2025 | 18.00 thousands | 7.8 |
| October 2025 | 17.90 thousands | 7.2 |
| September 2025 | 17.60 thousands | 6.7 |
| August 2025 | 17.90 thousands | 7.2 |
| July 2025 | 17.90 thousands | 5.9 |
| June 2025 | 17.70 thousands | 4.7 |
| May 2025 | 17.40 thousands | 4.8 |
| April 2025 | 17.30 thousands | 4.8 |
| March 2025 | 17.00 thousands | 3.7 |
| February 2025 | 17.00 thousands | 4.3 |
| January 2025 | 16.80 thousands | 4.3 |
| December 2024 | 16.90 thousands | 3.0 |
| November 2024 | 16.70 thousands | 3.1 |
| October 2024 | 16.70 thousands | 3.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-16740.PAYEMS.M.NSA.IND-20236000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-16740.PAYEMS.M.NSA.IND-20236000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```