# All Employees: Grocery and Related Product Merchant Wholesalers — FL (statewide) (NSA)

All Employees: Grocery and Related Product Merchant Wholesalers — FL (statewide) (NSA) was up 1.6% year on year in September 2026, compared with 2.4% in August 2026.
The level stood at 64.60 thousands.
Over the past ten years it has ranged from −7.7% (Sep 2020) to 9.7% (Apr 2022), averaging 2.4%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-FL.PAYEMS.M.NSA.IND-41424400`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-grocery-and-related-product-merchant-wholesalers-fl

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 64.60 thousands | 1.6 |
| August 2026 | 65.30 thousands | 2.4 |
| July 2026 | 65.10 thousands | 2.4 |
| June 2026 | 65.60 thousands | 2.7 |
| May 2026 | 65.70 thousands | 2.5 |
| April 2026 | 65.50 thousands | 1.9 |
| March 2026 | 65.60 thousands | 1.9 |
| February 2026 | 65.40 thousands | 1.9 |
| January 2026 | 64.30 thousands | 0.9 |
| December 2025 | 64.90 thousands | 2.0 |
| November 2025 | 64.30 thousands | 1.6 |
| October 2025 | 64.10 thousands | 2.1 |
| September 2025 | 63.60 thousands | 1.0 |
| August 2025 | 63.80 thousands | 1.1 |
| July 2025 | 63.60 thousands | 1.1 |
| June 2025 | 63.90 thousands | 1.1 |
| May 2025 | 64.10 thousands | 0.8 |
| April 2025 | 64.30 thousands | 0.9 |
| March 2025 | 64.40 thousands | 0.9 |
| February 2025 | 64.20 thousands | 0.9 |
| January 2025 | 63.70 thousands | 1.3 |
| December 2024 | 63.60 thousands | 0.6 |
| November 2024 | 63.30 thousands | 1.0 |
| October 2024 | 62.80 thousands | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-FL.PAYEMS.M.NSA.IND-41424400"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-FL.PAYEMS.M.NSA.IND-41424400",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```