# All Employees: Federal Government — AL (statewide) (NSA)

All Employees: Federal Government — AL (statewide) (NSA) was down 6.3% year on year in September 2026, compared with −6.8% in August 2026.
The level stood at 53.70 thousands.
That is the highest reading since September 2025.
Over the past ten years it has ranged from −10.3% (Jan 2026) to 7.3% (Aug 2020), averaging 0.2%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-AL.PAYEMS.M.NSA.IND-90910000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-federal-government-al-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 53.70 thousands | −6.3 |
| August 2026 | 53.40 thousands | −6.8 |
| July 2026 | 53.70 thousands | −6.9 |
| June 2026 | 53.50 thousands | −7.6 |
| May 2026 | 53.10 thousands | −8.4 |
| April 2026 | 53.00 thousands | −9.4 |
| March 2026 | 53.10 thousands | −9.5 |
| February 2026 | 53.40 thousands | −9.5 |
| January 2026 | 52.90 thousands | −10.3 |
| December 2025 | 54.20 thousands | −7.8 |
| November 2025 | 54.50 thousands | −6.8 |
| October 2025 | 54.70 thousands | −6.3 |
| September 2025 | 57.30 thousands | −1.5 |
| August 2025 | 57.30 thousands | −1.4 |
| July 2025 | 57.70 thousands | −0.7 |
| June 2025 | 57.90 thousands | −0.3 |
| May 2025 | 58.00 thousands | 0.0 |
| April 2025 | 58.50 thousands | 0.7 |
| March 2025 | 58.70 thousands | 1.4 |
| February 2025 | 59.00 thousands | 2.1 |
| January 2025 | 59.00 thousands | 2.4 |
| December 2024 | 58.80 thousands | 1.2 |
| November 2024 | 58.50 thousands | 1.4 |
| October 2024 | 58.40 thousands | 1.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-AL.PAYEMS.M.NSA.IND-90910000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-AL.PAYEMS.M.NSA.IND-90910000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```