# All Employees: Other Services — Albuquerque, NM (NSA)

All Employees: Other Services — Albuquerque, NM (NSA) was up 1.5% year on year in September 2026, compared with −1.4% in August 2026.
The level stood at 13.90 thousands.
That is the highest reading since June 2025.
Over the past ten years it has ranged from −24.8% (Apr 2020) to 24.2% (Apr 2021), averaging 1.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-10740.PAYEMS.M.NSA.IND-80000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-other-services-albuquerque-nm-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 13.90 thousands | 1.5 |
| August 2026 | 13.80 thousands | −1.4 |
| July 2026 | 14.00 thousands | −0.7 |
| June 2026 | 14.00 thousands | −1.4 |
| May 2026 | 13.60 thousands | −2.2 |
| April 2026 | 13.60 thousands | −1.4 |
| March 2026 | 13.50 thousands | −2.2 |
| February 2026 | 13.50 thousands | −1.5 |
| January 2026 | 13.50 thousands | −0.7 |
| December 2025 | 13.50 thousands | −0.7 |
| November 2025 | 13.60 thousands | −0.7 |
| October 2025 | 13.50 thousands | −1.5 |
| September 2025 | 13.70 thousands | 0.7 |
| August 2025 | 14.00 thousands | 1.4 |
| July 2025 | 14.10 thousands | 0.7 |
| June 2025 | 14.20 thousands | 2.2 |
| May 2025 | 13.90 thousands | 2.2 |
| April 2025 | 13.80 thousands | 2.2 |
| March 2025 | 13.80 thousands | 4.5 |
| February 2025 | 13.70 thousands | 3.8 |
| January 2025 | 13.60 thousands | 3.8 |
| December 2024 | 13.60 thousands | 3.0 |
| November 2024 | 13.70 thousands | 3.8 |
| October 2024 | 13.70 thousands | 3.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-10740.PAYEMS.M.NSA.IND-80000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-10740.PAYEMS.M.NSA.IND-80000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```