# All Employees: Full-Service Restaurants — Detroit-Warren-Dearborn, MI (NSA)

All Employees: Full-Service Restaurants — Detroit-Warren-Dearborn, MI (NSA) was up 0.8% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 62.90 thousands.
Over the past ten years it has ranged from −75.5% (Apr 2020) to 191.0% (Apr 2021), averaging 2.8%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-19820.PAYEMS.M.NSA.IND-70722511`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-full-service-restaurants-detroit-warren-dearborn-mi-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 62.90 thousands | 0.8 |
| August 2026 | 66.30 thousands | 3.3 |
| July 2026 | 66.70 thousands | 3.7 |
| June 2026 | 67.00 thousands | 3.4 |
| May 2026 | 64.90 thousands | 1.6 |
| April 2026 | 62.40 thousands | 0.8 |
| March 2026 | 61.40 thousands | 0.5 |
| February 2026 | 60.20 thousands | −1.1 |
| January 2026 | 60.10 thousands | −3.1 |
| December 2025 | 61.70 thousands | −2.4 |
| November 2025 | 61.40 thousands | −1.3 |
| October 2025 | 61.80 thousands | −0.5 |
| September 2025 | 62.40 thousands | 1.0 |
| August 2025 | 64.20 thousands | 0.9 |
| July 2025 | 64.30 thousands | 1.1 |
| June 2025 | 64.80 thousands | 0.6 |
| May 2025 | 63.90 thousands | 0.2 |
| April 2025 | 61.90 thousands | 0.2 |
| March 2025 | 61.10 thousands | −0.2 |
| February 2025 | 60.90 thousands | 0.7 |
| January 2025 | 62.00 thousands | 2.1 |
| December 2024 | 63.20 thousands | 1.0 |
| November 2024 | 62.20 thousands | 0.5 |
| October 2024 | 62.10 thousands | 1.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-19820.PAYEMS.M.NSA.IND-70722511"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-19820.PAYEMS.M.NSA.IND-70722511",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```