# Labor Force: San Juan-Bayamon-Caguas, PR Metropolitan Statistical Area (U)

Labor Force: San Juan-Bayamon-Caguas, PR Metropolitan Statistical Area (U) was up 3.3% year on year in September 2026, compared with 2.4% in August 2026.
The level stood at 842,574 thousands.
Over the past ten years it has ranged from −4.4% (Feb 2018) to 10.7% (Dec 2021), averaging 0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41980.LF.M.NSA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (439 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/labor-force-san-juan-bayamon-caguas-pr-metropolitan-statistical-area-u

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 842,574 thousands | 3.3 |
| August 2026 | 846,798 thousands | 2.4 |
| July 2026 | 850,068 thousands | 3.9 |
| June 2026 | 835,293 thousands | 0.7 |
| May 2026 | 820,962 thousands | −0.8 |
| April 2026 | 822,385 thousands | −0.07 |
| March 2026 | 825,359 thousands | 0.1 |
| February 2026 | 827,738 thousands | 0.7 |
| January 2026 | 828,132 thousands | 0.3 |
| December 2025 | 831,715 thousands | 0.6 |
| November 2025 | 829,276 thousands | −1.0 |
| October 2025 | 818,752 thousands | −0.5 |
| September 2025 | 815,969 thousands | −0.2 |
| August 2025 | 827,148 thousands | 1.8 |
| July 2025 | 817,838 thousands | 1.1 |
| June 2025 | 829,339 thousands | 2.3 |
| May 2025 | 827,312 thousands | 2.2 |
| April 2025 | 823,002 thousands | 1.9 |
| March 2025 | 824,147 thousands | 1.1 |
| February 2025 | 821,737 thousands | 0.6 |
| January 2025 | 825,799 thousands | 0.7 |
| December 2024 | 826,813 thousands | 0.6 |
| November 2024 | 837,606 thousands | 1.1 |
| October 2024 | 822,966 thousands | 0.2 |

## API

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

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