# All Employees: Couriers and Messengers — Denver-Aurora-Centennial, CO (NSA)

All Employees: Couriers and Messengers — Denver-Aurora-Centennial, CO (NSA) was up 0.8% year on year in September 2026, compared with 1.6% in August 2026.
The level stood at 13.00 thousands.
Over the past ten years it has ranged from −10.4% (Nov 2021) to 48.2% (Nov 2020), averaging 6.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19740.PAYEMS.M.NSA.IND-43492000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-couriers-and-messengers-denver-aurora-centennial-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 13.00 thousands | 0.8 |
| August 2026 | 13.10 thousands | 1.6 |
| July 2026 | 13.20 thousands | 3.1 |
| June 2026 | 13.00 thousands | 0.8 |
| May 2026 | 13.20 thousands | 5.6 |
| April 2026 | 13.30 thousands | 7.3 |
| March 2026 | 13.30 thousands | 0.8 |
| February 2026 | 13.70 thousands | −4.9 |
| January 2026 | 15.00 thousands | 2.0 |
| December 2025 | 16.90 thousands | −2.9 |
| November 2025 | 15.70 thousands | −0.6 |
| October 2025 | 13.20 thousands | −7.0 |
| September 2025 | 12.90 thousands | −6.5 |
| August 2025 | 12.90 thousands | −3.7 |
| July 2025 | 12.80 thousands | −3.0 |
| June 2025 | 12.90 thousands | −0.8 |
| May 2025 | 12.50 thousands | 0.8 |
| April 2025 | 12.40 thousands | 3.3 |
| March 2025 | 13.20 thousands | 8.2 |
| February 2025 | 14.40 thousands | 17.1 |
| January 2025 | 14.70 thousands | 15.7 |
| December 2024 | 17.40 thousands | 6.7 |
| November 2024 | 15.80 thousands | 10.5 |
| October 2024 | 14.20 thousands | 12.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-43492000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19740.PAYEMS.M.NSA.IND-43492000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
