Amazon Flex drivers in the United States often monitor rolling hour totals to better understand block availability. Rolling windows track hours worked over recent days rather than fixed calendar weeks.
Commonly discussed limits: ~40h in 7 days
~120h in 30 days
Rolling windows are not fixed calendar weeks
Rolling hours track the total number of hours worked over the previous 7 days and 30 days.
Unlike a calendar week, rolling totals update daily based on recent activity.
This means hours from earlier days drop off the total as new days are added.
Drivers commonly reference limits of around 40 hours in 7 days and 120 hours in 30 days in the United States.
Experiences may vary depending on market, station and demand.
These figures are widely discussed within the driver community and are not presented as official published limits.
Some drivers report seeing fewer available blocks when approaching rolling hour thresholds.
Availability may increase once older shifts fall outside the rolling window.
Monitoring totals helps drivers anticipate potential changes in block visibility.
Rolling totals are typically based on scheduled block duration rather than actual completion time.
Finishing a block early may not reduce the number of hours counted toward rolling limits.
Tracking shifts in a structured system helps drivers see their exact 7-day and 30-day totals at any time.
Without tracking, it can be difficult to understand why availability changes.
Tools
See 7-day and 30-day hours update automatically.
View how each scheduled block contributes to rolling totals.
Understand potential patterns in block visibility.
FAQ
Drivers commonly reference limits of around 40 hours in 7 days and 120 hours in 30 days, although experiences may vary by market.
No. Rolling windows update daily based on the previous 7 or 30 days rather than resetting on a fixed day.
Rolling totals are typically based on scheduled block duration rather than actual completion time.
Block visibility can depend on demand, market conditions and potentially rolling hour totals. Tracking recent hours worked may provide insight into availability patterns.
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