# All Employees: State Government — San Juan-Bayamon-Caguas, PR (NSA)

All Employees: State Government — San Juan-Bayamon-Caguas, PR (NSA) was down 2.0% year on year in September 2026, compared with −1.8% in August 2026.
The level stood at 78.50 thousands.
Over the past ten years it has ranged from −9.3% (Jul 2020) to 2.9% (Jul 2021), averaging −2.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41980.PAYEMS.M.NSA.IND-90920000`
- Frequency: monthly
- Units: thousands
- Coverage: 2003-01-01 to 2026-09-01 (285 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-state-government-san-juan-bayamon-caguas-pr-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 78.50 thousands | −2.0 |
| August 2026 | 78.50 thousands | −1.8 |
| July 2026 | 73.30 thousands | −3.8 |
| June 2026 | 75.20 thousands | −4.6 |
| May 2026 | 75.40 thousands | −6.9 |
| April 2026 | 80.70 thousands | −1.1 |
| March 2026 | 80.70 thousands | −1.6 |
| February 2026 | 79.90 thousands | −2.1 |
| January 2026 | 79.60 thousands | −2.0 |
| December 2025 | 81.00 thousands | −2.6 |
| November 2025 | 81.10 thousands | −3.0 |
| October 2025 | 80.70 thousands | −2.4 |
| September 2025 | 80.10 thousands | −2.4 |
| August 2025 | 79.90 thousands | −1.2 |
| July 2025 | 76.20 thousands | −0.3 |
| June 2025 | 78.80 thousands | 0.3 |
| May 2025 | 81.00 thousands | −2.9 |
| April 2025 | 81.60 thousands | −3.0 |
| March 2025 | 82.00 thousands | −3.2 |
| February 2025 | 81.60 thousands | −3.5 |
| January 2025 | 81.20 thousands | −3.9 |
| December 2024 | 83.20 thousands | −3.7 |
| November 2024 | 83.60 thousands | −3.0 |
| October 2024 | 82.70 thousands | −2.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41980.PAYEMS.M.NSA.IND-90920000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41980.PAYEMS.M.NSA.IND-90920000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```