# All Employees: Services to Buildings and Dwellings — IL (statewide) (NSA)

All Employees: Services to Buildings and Dwellings — IL (statewide) (NSA) was up 0.3% year on year in September 2026, compared with 0.0% in August 2026.
The level stood at 95.60 thousands.
Over the past ten years it has ranged from −13.3% (Apr 2020) to 8.1% (Feb 2018), averaging 0.5%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IL.PAYEMS.M.NSA.IND-60561700`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-services-to-buildings-and-dwellings-il-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 95.60 thousands | 0.3 |
| August 2026 | 97.30 thousands | 0.0 |
| July 2026 | 96.10 thousands | −1.4 |
| June 2026 | 96.00 thousands | −1.7 |
| May 2026 | 92.10 thousands | −4.7 |
| April 2026 | 88.40 thousands | −3.3 |
| March 2026 | 80.50 thousands | 3.6 |
| February 2026 | 74.80 thousands | −5.9 |
| January 2026 | 75.40 thousands | −2.0 |
| December 2025 | 82.30 thousands | 1.2 |
| November 2025 | 86.40 thousands | −6.1 |
| October 2025 | 91.40 thousands | −4.0 |
| September 2025 | 95.30 thousands | −1.9 |
| August 2025 | 97.30 thousands | −1.4 |
| July 2025 | 97.50 thousands | −2.0 |
| June 2025 | 97.70 thousands | −2.0 |
| May 2025 | 96.60 thousands | −1.5 |
| April 2025 | 91.40 thousands | −1.3 |
| March 2025 | 77.70 thousands | −2.5 |
| February 2025 | 79.50 thousands | 6.9 |
| January 2025 | 76.90 thousands | −3.9 |
| December 2024 | 81.30 thousands | 0.1 |
| November 2024 | 92.00 thousands | 0.2 |
| October 2024 | 95.20 thousands | −0.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IL.PAYEMS.M.NSA.IND-60561700"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IL.PAYEMS.M.NSA.IND-60561700",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```