# All Employees: Retail Trade — Indianapolis-Carmel-Greenwood, IN (NSA)

All Employees: Retail Trade — Indianapolis-Carmel-Greenwood, IN (NSA) was down 0.5% year on year in September 2026, compared with −0.3% in August 2026.
The level stood at 98.30 thousands.
Over the past ten years it has ranged from −15.6% (Apr 2020) to 16.2% (Apr 2021), averaging −0.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-26900.PAYEMS.M.NSA.IND-42000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-retail-trade-indianapolis-carmel-greenwood-in-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 98.30 thousands | −0.5 |
| August 2026 | 99.20 thousands | −0.3 |
| July 2026 | 100.3 thousands | 1.0 |
| June 2026 | 100.8 thousands | 0.9 |
| May 2026 | 100.5 thousands | 0.5 |
| April 2026 | 99.40 thousands | 0.3 |
| March 2026 | 98.50 thousands | −0.1 |
| February 2026 | 98.40 thousands | −0.3 |
| January 2026 | 99.40 thousands | 0.2 |
| December 2025 | 103.4 thousands | 0.8 |
| November 2025 | 101.9 thousands | −0.10 |
| October 2025 | 99.60 thousands | −0.6 |
| September 2025 | 98.80 thousands | 0.1 |
| August 2025 | 99.50 thousands | −0.3 |
| July 2025 | 99.30 thousands | −1.2 |
| June 2025 | 99.90 thousands | −0.6 |
| May 2025 | 100.0 thousands | −0.2 |
| April 2025 | 99.10 thousands | 0.2 |
| March 2025 | 98.60 thousands | 0.1 |
| February 2025 | 98.70 thousands | 0.2 |
| January 2025 | 99.20 thousands | −0.3 |
| December 2024 | 102.6 thousands | 0.4 |
| November 2024 | 102.0 thousands | 0.4 |
| October 2024 | 100.2 thousands | 0.8 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-26900.PAYEMS.M.NSA.IND-42000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-26900.PAYEMS.M.NSA.IND-42000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```