# All Employees: Other Services — Birmingham, AL (NSA)

All Employees: Other Services — Birmingham, AL (NSA) was up 1.5% year on year in September 2026, compared with 0.7% in August 2026.
The level stood at 27.00 thousands.
That is the highest reading since March 2024.
Over the past ten years it has ranged from −15.9% (Apr 2020) to 12.9% (Apr 2021), averaging −0.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-13820.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-birmingham-al-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 27.00 thousands | 1.5 |
| August 2026 | 27.00 thousands | 0.7 |
| July 2026 | 27.20 thousands | 0.7 |
| June 2026 | 27.40 thousands | 0.7 |
| May 2026 | 27.30 thousands | 0.7 |
| April 2026 | 27.10 thousands | 0.7 |
| March 2026 | 26.80 thousands | 0.0 |
| February 2026 | 26.80 thousands | −1.1 |
| January 2026 | 26.50 thousands | −2.9 |
| December 2025 | 26.50 thousands | −5.0 |
| November 2025 | 26.70 thousands | −6.0 |
| October 2025 | 26.70 thousands | −7.0 |
| September 2025 | 26.60 thousands | −8.6 |
| August 2025 | 26.80 thousands | −9.2 |
| July 2025 | 27.00 thousands | −10.0 |
| June 2025 | 27.20 thousands | −10.5 |
| May 2025 | 27.10 thousands | −10.9 |
| April 2025 | 26.90 thousands | −12.7 |
| March 2025 | 26.80 thousands | −13.3 |
| February 2025 | 27.10 thousands | −12.0 |
| January 2025 | 27.30 thousands | −10.8 |
| December 2024 | 27.90 thousands | −9.4 |
| November 2024 | 28.40 thousands | −8.1 |
| October 2024 | 28.70 thousands | −6.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-13820.PAYEMS.M.NSA.IND-80000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-13820.PAYEMS.M.NSA.IND-80000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```