# United States All employees, thousands, telephone call centers, seasonally adjusted

United States All employees, thousands, telephone call centers, seasonally adjusted was down 4.7% year on year in September 2026, compared with −3.8% in August 2026.
The level stood at 307.0 thousands.
Over the past ten years it has ranged from −13.1% (Feb 2023) to 4.9% (Sep 2016), averaging −5.0%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-60561420`
- 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-telephone-call-centers-seasonally-adjusted

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 307.0 thousands | −4.7 |
| August 2026 | 308.2 thousands | −3.8 |
| July 2026 | 308.9 thousands | −4.9 |
| June 2026 | 309.1 thousands | −5.8 |
| May 2026 | 307.8 thousands | −7.2 |
| April 2026 | 309.8 thousands | −7.3 |
| March 2026 | 311.0 thousands | −7.0 |
| February 2026 | 311.1 thousands | −7.6 |
| January 2026 | 312.2 thousands | −7.5 |
| December 2025 | 317.5 thousands | −7.5 |
| November 2025 | 319.4 thousands | −8.3 |
| October 2025 | 324.4 thousands | −6.8 |
| September 2025 | 322.2 thousands | −8.3 |
| August 2025 | 320.5 thousands | −9.2 |
| July 2025 | 324.7 thousands | −8.7 |
| June 2025 | 328.3 thousands | −8.4 |
| May 2025 | 331.8 thousands | −7.5 |
| April 2025 | 334.1 thousands | −7.3 |
| March 2025 | 334.5 thousands | −8.3 |
| February 2025 | 336.6 thousands | −8.1 |
| January 2025 | 337.6 thousands | −8.4 |
| December 2024 | 343.3 thousands | −8.0 |
| November 2024 | 348.2 thousands | −6.7 |
| October 2024 | 348.2 thousands | −8.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60561420"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-60561420",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
