# All Employees: Accommodation and Food Services — San Juan-Bayamon-Caguas, PR (NSA)

All Employees: Accommodation and Food Services — San Juan-Bayamon-Caguas, PR (NSA) was up 4.1% year on year in September 2026, compared with 4.4% in August 2026.
The level stood at 68.80 thousands.
Over the past ten years it has ranged from −38.8% (Apr 2020) to 47.0% (Apr 2021), averaging 2.6%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-41980.PAYEMS.M.NSA.IND-70720000`
- Frequency: monthly
- Units: thousands
- Coverage: 2003-01-01 to 2026-09-01 (285 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-accommodation-and-food-services-san-juan-bayamon-caguas

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 68.80 thousands | 4.1 |
| August 2026 | 68.80 thousands | 4.4 |
| July 2026 | 69.30 thousands | 5.8 |
| June 2026 | 69.00 thousands | 4.1 |
| May 2026 | 69.00 thousands | 5.5 |
| April 2026 | 69.10 thousands | 5.8 |
| March 2026 | 68.70 thousands | 4.6 |
| February 2026 | 68.80 thousands | 6.5 |
| January 2026 | 67.20 thousands | 4.2 |
| December 2025 | 67.90 thousands | 2.6 |
| November 2025 | 67.30 thousands | 4.5 |
| October 2025 | 67.10 thousands | 4.5 |
| September 2025 | 66.10 thousands | 1.4 |
| August 2025 | 65.90 thousands | 2.5 |
| July 2025 | 65.50 thousands | 2.3 |
| June 2025 | 66.30 thousands | 2.3 |
| May 2025 | 65.40 thousands | 2.5 |
| April 2025 | 65.30 thousands | 2.7 |
| March 2025 | 65.70 thousands | 2.3 |
| February 2025 | 64.60 thousands | 2.5 |
| January 2025 | 64.50 thousands | 3.2 |
| December 2024 | 66.20 thousands | 1.4 |
| November 2024 | 64.40 thousands | 1.9 |
| October 2024 | 64.20 thousands | 2.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-41980.PAYEMS.M.NSA.IND-70720000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-41980.PAYEMS.M.NSA.IND-70720000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```