# All Employees: Leisure and Hospitality — IL (statewide) (NSA)

All Employees: Leisure and Hospitality — IL (statewide) (NSA) was up 1.1% year on year in September 2026, compared with −0.05% in August 2026.
The level stood at 618.9 thousands.
That is the highest reading since January 2025.
Over the past ten years it has ranged from −46.9% (Apr 2020) to 45.7% (Apr 2021), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IL.PAYEMS.M.NSA.IND-70000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-leisure-and-hospitality-il-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 618.9 thousands | 1.1 |
| August 2026 | 633.3 thousands | −0.05 |
| July 2026 | 637.7 thousands | 0.7 |
| June 2026 | 640.2 thousands | 1.0 |
| May 2026 | 620.0 thousands | −0.2 |
| April 2026 | 600.3 thousands | 0.3 |
| March 2026 | 580.6 thousands | −0.2 |
| February 2026 | 570.8 thousands | −0.2 |
| January 2026 | 568.6 thousands | −0.7 |
| December 2025 | 591.4 thousands | −0.5 |
| November 2025 | 593.9 thousands | −0.3 |
| October 2025 | 607.3 thousands | 0.5 |
| September 2025 | 612.4 thousands | −0.1 |
| August 2025 | 633.6 thousands | 0.7 |
| July 2025 | 633.0 thousands | 0.6 |
| June 2025 | 634.0 thousands | 0.2 |
| May 2025 | 621.5 thousands | 0.8 |
| April 2025 | 598.5 thousands | 0.7 |
| March 2025 | 581.7 thousands | 0.3 |
| February 2025 | 572.2 thousands | 0.9 |
| January 2025 | 572.8 thousands | 1.5 |
| December 2024 | 594.5 thousands | 1.2 |
| November 2024 | 595.7 thousands | 0.9 |
| October 2024 | 604.3 thousands | 1.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IL.PAYEMS.M.NSA.IND-70000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IL.PAYEMS.M.NSA.IND-70000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```