# All Employees: Total Nonfarm — Indianapolis-Carmel-Greenwood, IN (SA)

All Employees: Total Nonfarm — Indianapolis-Carmel-Greenwood, IN (SA) was down 1.1% year on year in September 2026, compared with −1.2% in August 2026.
The level stood at 1,168.7 thousands.
Over the past ten years it has ranged from −12.5% (Apr 2020) to 12.6% (Apr 2021), averaging 1.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26900.PAYEMS.M.SA`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-total-nonfarm-indianapolis-carmel-greenwood-in-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 1,168.7 thousands | −1.1 |
| August 2026 | 1,170.4 thousands | −1.2 |
| July 2026 | 1,171.6 thousands | −0.8 |
| June 2026 | 1,168.5 thousands | −1.1 |
| May 2026 | 1,172.0 thousands | −0.9 |
| April 2026 | 1,172.9 thousands | −0.7 |
| March 2026 | 1,173.9 thousands | −0.6 |
| February 2026 | 1,170.1 thousands | −0.8 |
| January 2026 | 1,170.9 thousands | −0.6 |
| December 2025 | 1,167.9 thousands | −1.0 |
| November 2025 | 1,169.3 thousands | −0.9 |
| October 2025 | 1,173.4 thousands | −0.3 |
| September 2025 | 1,181.8 thousands | 0.6 |
| August 2025 | 1,184.9 thousands | 1.0 |
| July 2025 | 1,181.6 thousands | 1.0 |
| June 2025 | 1,181.2 thousands | 0.6 |
| May 2025 | 1,182.2 thousands | 0.5 |
| April 2025 | 1,181.5 thousands | 0.9 |
| March 2025 | 1,180.5 thousands | 1.1 |
| February 2025 | 1,179.0 thousands | 1.0 |
| January 2025 | 1,178.5 thousands | 1.2 |
| December 2024 | 1,179.8 thousands | 1.3 |
| November 2024 | 1,179.4 thousands | 1.4 |
| October 2024 | 1,177.3 thousands | 1.4 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26900.PAYEMS.M.SA"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26900.PAYEMS.M.SA",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
