# United States All employees, thousands, pharmacies and drug retailers, seasonally adjusted

United States All employees, thousands, pharmacies and drug retailers, seasonally adjusted was up 0.7% year on year in September 2026, compared with 1.8% in August 2026.
The level stood at 675.9 thousands.
Over the past ten years it has ranged from −5.4% (May 2025) to 7.0% (Dec 2021), averaging −1.1%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US.EMP.M.SA.IND-42456110`
- 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-pharmacies-and-drug-retailers-seasonally

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 675.9 thousands | 0.7 |
| August 2026 | 684.3 thousands | 1.8 |
| July 2026 | 678.1 thousands | 0.5 |
| June 2026 | 674.6 thousands | 0.0 |
| May 2026 | 672.4 thousands | −0.1 |
| April 2026 | 667.9 thousands | −1.1 |
| March 2026 | 669.7 thousands | −1.3 |
| February 2026 | 665.4 thousands | −2.4 |
| January 2026 | 667.0 thousands | −2.7 |
| December 2025 | 662.6 thousands | −3.7 |
| November 2025 | 665.3 thousands | −3.6 |
| October 2025 | 669.3 thousands | −3.4 |
| September 2025 | 670.9 thousands | −3.4 |
| August 2025 | 672.0 thousands | −3.4 |
| July 2025 | 674.8 thousands | −3.4 |
| June 2025 | 674.6 thousands | −4.5 |
| May 2025 | 673.1 thousands | −5.4 |
| April 2025 | 675.6 thousands | −5.3 |
| March 2025 | 678.5 thousands | −5.0 |
| February 2025 | 681.7 thousands | −4.6 |
| January 2025 | 685.2 thousands | −4.1 |
| December 2024 | 688.0 thousands | −3.8 |
| November 2024 | 690.5 thousands | −3.9 |
| October 2024 | 692.7 thousands | −3.9 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42456110"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US.EMP.M.SA.IND-42456110",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```