# All Employees: Total Private — Colorado Springs, CO (NSA)

All Employees: Total Private — Colorado Springs, CO (NSA) was up 1.1% year on year in September 2026, compared with 0.5% in August 2026.
The level stood at 274.9 thousands.
That is the highest reading since June 2024.
Over the past ten years it has ranged from −12.1% (Apr 2020) to 14.7% (Apr 2021), averaging 1.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-17820.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-colorado-springs-co-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 274.9 thousands | 1.1 |
| August 2026 | 277.2 thousands | 0.5 |
| July 2026 | 278.2 thousands | 0.6 |
| June 2026 | 277.0 thousands | 1.0 |
| May 2026 | 273.9 thousands | 0.2 |
| April 2026 | 271.0 thousands | 0.4 |
| March 2026 | 267.1 thousands | −0.1 |
| February 2026 | 266.2 thousands | −0.5 |
| January 2026 | 267.6 thousands | −0.3 |
| December 2025 | 272.0 thousands | −0.07 |
| November 2025 | 271.6 thousands | −0.4 |
| October 2025 | 273.2 thousands | −0.2 |
| September 2025 | 271.9 thousands | −0.5 |
| August 2025 | 275.7 thousands | −0.1 |
| July 2025 | 276.5 thousands | −0.1 |
| June 2025 | 274.2 thousands | −1.7 |
| May 2025 | 273.4 thousands | 0.04 |
| April 2025 | 269.8 thousands | −0.7 |
| March 2025 | 267.5 thousands | −0.7 |
| February 2025 | 267.6 thousands | −0.4 |
| January 2025 | 268.3 thousands | 0.04 |
| December 2024 | 272.2 thousands | −0.3 |
| November 2024 | 272.8 thousands | 0.2 |
| October 2024 | 273.7 thousands | 0.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-17820.PAYEMS.M.NSA.IND-05000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-17820.PAYEMS.M.NSA.IND-05000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```