# All Employees: Service-Providing — Birmingham, AL (NSA)

All Employees: Service-Providing — Birmingham, AL (NSA) was up 1.5% year on year in September 2026, compared with 1.0% in August 2026.
The level stood at 497.8 thousands.
That is the highest reading since November 2023.
Over the past ten years it has ranged from −10.8% (Apr 2020) to 10.0% (Apr 2021), averaging 0.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-13820.PAYEMS.M.NSA.IND-07000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-service-providing-birmingham-al-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 497.8 thousands | 1.5 |
| August 2026 | 496.8 thousands | 1.0 |
| July 2026 | 496.6 thousands | 0.9 |
| June 2026 | 498.2 thousands | 0.9 |
| May 2026 | 496.5 thousands | 0.6 |
| April 2026 | 495.2 thousands | 0.9 |
| March 2026 | 494.0 thousands | 0.9 |
| February 2026 | 493.2 thousands | 0.4 |
| January 2026 | 490.6 thousands | 0.5 |
| December 2025 | 497.1 thousands | 0.1 |
| November 2025 | 495.8 thousands | −0.2 |
| October 2025 | 493.7 thousands | −0.1 |
| September 2025 | 490.6 thousands | −0.02 |
| August 2025 | 491.9 thousands | −0.3 |
| July 2025 | 492.0 thousands | −0.5 |
| June 2025 | 493.7 thousands | −1.0 |
| May 2025 | 493.6 thousands | −0.7 |
| April 2025 | 490.7 thousands | −0.9 |
| March 2025 | 489.5 thousands | −0.8 |
| February 2025 | 491.4 thousands | −0.6 |
| January 2025 | 488.3 thousands | −0.4 |
| December 2024 | 496.4 thousands | −0.3 |
| November 2024 | 497.0 thousands | −0.1 |
| October 2024 | 494.4 thousands | −0.04 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-13820.PAYEMS.M.NSA.IND-07000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-13820.PAYEMS.M.NSA.IND-07000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```