# United States All employees, thousands, interior design services, not seasonally adjusted

United States All employees, thousands, interior design services, not seasonally adjusted was up 4.0% year on year in September 2026, compared with 2.7% in August 2026.
The level stood at 60.20 thousands.
Over the past ten years it has ranged from −14.6% (May 2020) to 17.4% (Jun 2022), averaging 3.9%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.NSA.IND-60541410`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-thousands-interior-design-services-not-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 60.20 thousands | 4.0 |
| August 2026 | 59.90 thousands | 2.7 |
| July 2026 | 59.30 thousands | 3.0 |
| June 2026 | 58.40 thousands | 0.9 |
| May 2026 | 57.90 thousands | 2.8 |
| April 2026 | 57.00 thousands | 1.6 |
| March 2026 | 56.90 thousands | 2.7 |
| February 2026 | 57.40 thousands | 5.1 |
| January 2026 | 57.20 thousands | 2.9 |
| December 2025 | 58.00 thousands | 0.2 |
| November 2025 | 59.30 thousands | 1.5 |
| October 2025 | 58.80 thousands | 0.9 |
| September 2025 | 57.90 thousands | 2.3 |
| August 2025 | 58.30 thousands | 3.6 |
| July 2025 | 57.60 thousands | 1.4 |
| June 2025 | 57.90 thousands | 2.8 |
| May 2025 | 56.30 thousands | −1.6 |
| April 2025 | 56.10 thousands | −1.1 |
| March 2025 | 55.40 thousands | −0.2 |
| February 2025 | 54.60 thousands | −4.4 |
| January 2025 | 55.60 thousands | −2.8 |
| December 2024 | 57.90 thousands | 2.1 |
| November 2024 | 58.40 thousands | 2.6 |
| October 2024 | 58.30 thousands | 2.3 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-60541410"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.NSA.IND-60541410",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
