# All Employees: Repair and Maintenance — IL (statewide) (NSA)

All Employees: Repair and Maintenance — IL (statewide) (NSA) was up 1.0% year on year in September 2026, compared with 4.1% in August 2026.
The level stood at 59.80 thousands.
That is the lowest reading since September 2025.
Over the past ten years it has ranged from −14.4% (Apr 2020) to 14.5% (Apr 2021), averaging 0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-IL.PAYEMS.M.NSA.IND-80811000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-repair-and-maintenance-il-statewide-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 59.80 thousands | 1.0 |
| August 2026 | 61.10 thousands | 4.1 |
| July 2026 | 61.00 thousands | 3.6 |
| June 2026 | 60.70 thousands | 3.2 |
| May 2026 | 60.00 thousands | 2.0 |
| April 2026 | 60.20 thousands | 2.6 |
| March 2026 | 59.90 thousands | 2.4 |
| February 2026 | 59.70 thousands | 2.1 |
| January 2026 | 59.20 thousands | 1.5 |
| December 2025 | 59.40 thousands | 1.2 |
| November 2025 | 59.90 thousands | 1.9 |
| October 2025 | 60.30 thousands | 2.6 |
| September 2025 | 59.20 thousands | 0.5 |
| August 2025 | 58.70 thousands | −0.7 |
| July 2025 | 58.90 thousands | −0.7 |
| June 2025 | 58.80 thousands | −1.0 |
| May 2025 | 58.80 thousands | −0.5 |
| April 2025 | 58.70 thousands | −0.7 |
| March 2025 | 58.50 thousands | −0.8 |
| February 2025 | 58.50 thousands | −0.2 |
| January 2025 | 58.30 thousands | 0.2 |
| December 2024 | 58.70 thousands | −0.5 |
| November 2024 | 58.80 thousands | 0.2 |
| October 2024 | 58.80 thousands | 0.2 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-IL.PAYEMS.M.NSA.IND-80811000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-IL.PAYEMS.M.NSA.IND-80811000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```