# United States Personal Outlays (SAAR)

United States Personal Outlays (SAAR) was up 6.2% year on year in September 2026, compared with 6.1% in August 2026.
The level stood at 23,377,904 US$ million.
Over the past ten years it has ranged from −14.0% (Apr 2020) to 28.8% (Apr 2021), averaging 5.8%.

- Source agency: U.S. Bureau of Economic Analysis
- Makrognosis code: `US.PINC.M.SA.GRP-OUTLAYS`
- Frequency: monthly
- Units: US$ million
- Coverage: 1966-01-01 to 2026-09-01 (729 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/personal-outlays-saar

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 23,377,904 US$ million | 6.2 |
| August 2026 | 23,264,947 US$ million | 6.1 |
| July 2026 | 23,071,547 US$ million | 5.8 |
| June 2026 | 23,020,129 US$ million | 6.3 |
| May 2026 | 22,943,155 US$ million | 6.6 |
| April 2026 | 22,764,231 US$ million | 5.8 |
| March 2026 | 22,593,227 US$ million | 5.3 |
| February 2026 | 22,397,637 US$ million | 5.2 |
| January 2026 | 22,274,172 US$ million | 4.9 |
| December 2025 | 22,222,105 US$ million | 4.3 |
| November 2025 | 22,163,268 US$ million | 5.0 |
| October 2025 | 22,088,396 US$ million | 5.2 |
| September 2025 | 22,022,880 US$ million | 5.2 |
| August 2025 | 21,917,058 US$ million | 5.5 |
| July 2025 | 21,802,717 US$ million | 5.2 |
| June 2025 | 21,664,657 US$ million | 5.1 |
| May 2025 | 21,532,561 US$ million | 4.9 |
| April 2025 | 21,521,399 US$ million | 5.4 |
| March 2025 | 21,460,370 US$ million | 5.5 |
| February 2025 | 21,300,211 US$ million | 5.5 |
| January 2025 | 21,233,082 US$ million | 5.9 |
| December 2024 | 21,315,248 US$ million | 6.5 |
| November 2024 | 21,110,665 US$ million | 5.8 |
| October 2024 | 21,006,119 US$ million | 5.6 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US.PINC.M.SA.GRP-OUTLAYS"

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