# United States All employees, thousands, marketing consulting services, seasonally adjusted

United States All employees, thousands, marketing consulting services, seasonally adjusted was up 0.8% year on year in September 2026, compared with 1.2% in August 2026.
The level stood at 314.0 thousands.
Over the past ten years it has ranged from −6.5% (Apr 2020) to 12.7% (Mar 2022), averaging 2.3%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60541613`
- 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-marketing-consulting-services-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 314.0 thousands | 0.8 |
| August 2026 | 317.2 thousands | 1.2 |
| July 2026 | 318.9 thousands | 1.1 |
| June 2026 | 321.3 thousands | 1.7 |
| May 2026 | 318.3 thousands | 0.5 |
| April 2026 | 319.0 thousands | 0.9 |
| March 2026 | 317.9 thousands | 0.3 |
| February 2026 | 318.5 thousands | −0.2 |
| January 2026 | 315.7 thousands | −1.5 |
| December 2025 | 315.7 thousands | −2.6 |
| November 2025 | 313.9 thousands | −2.5 |
| October 2025 | 311.4 thousands | −3.6 |
| September 2025 | 311.4 thousands | −3.6 |
| August 2025 | 313.4 thousands | −2.5 |
| July 2025 | 315.5 thousands | −2.0 |
| June 2025 | 316.0 thousands | −2.1 |
| May 2025 | 316.6 thousands | −1.3 |
| April 2025 | 316.3 thousands | −1.6 |
| March 2025 | 317.0 thousands | −1.4 |
| February 2025 | 319.1 thousands | −0.4 |
| January 2025 | 320.4 thousands | 0.06 |
| December 2024 | 324.2 thousands | 0.8 |
| November 2024 | 322.1 thousands | −0.3 |
| October 2024 | 323.1 thousands | −2.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541613"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60541613",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```