# United States All employees, thousands, direct mail advertising, seasonally adjusted

United States All employees, thousands, direct mail advertising, seasonally adjusted was down 0.7% year on year in September 2026, compared with −1.3% in August 2026.
The level stood at 30.00 thousands.
Over the past ten years it has ranged from −15.0% (May 2020) to 4.3% (Oct 2022), averaging −4.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60541860`
- 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-direct-mail-advertising-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 30.00 thousands | −0.7 |
| August 2026 | 30.10 thousands | −1.3 |
| July 2026 | 29.50 thousands | −3.3 |
| June 2026 | 29.00 thousands | −5.2 |
| May 2026 | 30.00 thousands | −0.7 |
| April 2026 | 29.80 thousands | −3.6 |
| March 2026 | 29.80 thousands | −5.1 |
| February 2026 | 30.00 thousands | −4.8 |
| January 2026 | 29.80 thousands | −3.6 |
| December 2025 | 29.70 thousands | −3.6 |
| November 2025 | 29.90 thousands | −3.2 |
| October 2025 | 30.20 thousands | −1.9 |
| September 2025 | 30.20 thousands | −5.0 |
| August 2025 | 30.50 thousands | −3.8 |
| July 2025 | 30.50 thousands | −5.0 |
| June 2025 | 30.60 thousands | −5.8 |
| May 2025 | 30.20 thousands | −7.1 |
| April 2025 | 30.90 thousands | −5.2 |
| March 2025 | 31.40 thousands | −4.6 |
| February 2025 | 31.50 thousands | −4.3 |
| January 2025 | 30.90 thousands | −7.5 |
| December 2024 | 30.80 thousands | −7.8 |
| November 2024 | 30.90 thousands | −8.3 |
| October 2024 | 30.80 thousands | −9.1 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541860"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541860",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```