# All Employees: Total Private — Grand Junction, CO (NSA)

All Employees: Total Private — Grand Junction, CO (NSA) was down 1.2% year on year in September 2026, compared with −0.9% in August 2026.
The level stood at 56.10 thousands.
That is the lowest reading since March 2021.
Over the past ten years it has ranged from −15.8% (Apr 2020) to 15.9% (Apr 2021), averaging 1.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-24300.PAYEMS.M.NSA.IND-05000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-private-grand-junction-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 56.10 thousands | −1.2 |
| August 2026 | 56.50 thousands | −0.9 |
| July 2026 | 56.90 thousands | 0.4 |
| June 2026 | 56.90 thousands | 0.7 |
| May 2026 | 56.40 thousands | −0.5 |
| April 2026 | 56.30 thousands | 0.0 |
| March 2026 | 55.90 thousands | −1.1 |
| February 2026 | 55.80 thousands | −0.5 |
| January 2026 | 55.90 thousands | 0.2 |
| December 2025 | 56.70 thousands | −0.2 |
| November 2025 | 56.70 thousands | −0.4 |
| October 2025 | 56.70 thousands | −0.5 |
| September 2025 | 56.80 thousands | −0.7 |
| August 2025 | 57.00 thousands | −0.7 |
| July 2025 | 56.70 thousands | −0.9 |
| June 2025 | 56.50 thousands | −1.1 |
| May 2025 | 56.70 thousands | 0.7 |
| April 2025 | 56.30 thousands | 1.1 |
| March 2025 | 56.50 thousands | 1.6 |
| February 2025 | 56.10 thousands | 1.1 |
| January 2025 | 55.80 thousands | 1.5 |
| December 2024 | 56.80 thousands | 1.2 |
| November 2024 | 56.90 thousands | 1.6 |
| October 2024 | 57.00 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-24300.PAYEMS.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-24300.PAYEMS.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```