Kwick365The Independent Restaurant Index

Daily reading

Items per online order

Data as of — 645 restaurants, 8,626 orders. Recomputed every night.

The national reading

Items per online order

2.0

line items per order

Nov ’25FebMayAugNov3.02.0

Items per online order, as published each day7-day average

This chart as text

Items per online order over the last 365 days. 364 published observations, from November 3, 2025 at 2.0 to November 2, 2026 at 2.0. Sample: 645 restaurants, 8,626 orders on November 2, 2026.

This series is not continuous. It is drawn as 2 separate lines with 1 gap between them, and no line is drawn across a gap. The longest gap is 1 day, between November 26, 2025 and November 28, 2025. Days with too little data to publish are left out rather than filled in.

7-day average: 364 calculated points, drawn only on days the published series itself has and never across a gap. It is arithmetic on Kwick365’s published daily readings, not a measurement of its own. A point near the start of this window also averages published days from up to 6 days before the window begins. Those are published readings too, but they are neither drawn on the chart nor listed in the table below.

This window is too long to list day by day, so the table groups the 364 observations by calendar month. Every figure in it is a published day, named by its own date.

Items per online order over the last 365 days, by month
MonthDays publishedFirstLast
November 202527Nov 3 — 2.0Nov 30 — 3.0
December 202531Dec 1 — 2.0Dec 31 — 3.0
January 202631Jan 1 — 3.0Jan 31 — 3.0
February 202628Feb 1 — 3.0Feb 28 — 3.0
March 202631Mar 1 — 3.0Mar 31 — 2.0
April 202630Apr 1 — 2.0Apr 30 — 2.0
May 202631May 1 — 2.0May 31 — 3.0
June 202630Jun 1 — 2.0Jun 30 — 2.0
July 202631Jul 1 — 2.0Jul 31 — 2.0
August 202631Aug 1 — 3.0Aug 31 — 2.0
September 202630Sep 1 — 2.0Sep 30 — 2.0
October 202631Oct 1 — 2.0Oct 31 — 2.0
November 20262Nov 1 — 3.0Nov 2 — 2.0
Items per online order, daily through November 2, 2026, over a 365-day window. The scale covers the range of the data, not zero. Days with too little data to publish are left out. The 7-day average is calculated by Kwick365 from the published daily readings, not measured separately: each point is the mean of the days that published within the 7 calendar days ending on it. It is not drawn at all where fewer than 5 of those 7 days published, so it breaks wherever the daily line breaks and never averages across a gap. Dated events are not marked on this window — across 365 days a single day is far too narrow for a mark to point at one. They are marked on the 7- and 30-day windows, and the calendar lists every one of them with its source.

no change vs a week earlier−33% vs a year earlier

645 restaurants, 8,626 orders

Line items per order (not units): a single line of "3 × taco" counts once.

Where else to look: Online order channel and Ordered ahead are on Online order ticket; Online orders by hour and Online orders by weekday are on Online orders per restaurant.

Where it publishes

A reading publishes for a place only on a day that clears 30 restaurants and 500 orders there. A row that reads “not enough data” is a place that did not clear it on this day — never a zero, never an estimate.

By metro

Items per online order by metro on November 2, 2026. Metros are approximated from each restaurant’s ZIP code.

Items per online order by metro on November 2, 2026. Metros are approximated from each restaurant’s ZIP code.
MetroLine items per orderRestaurantsOrders
Houston, TX3.059696
Atlanta, GA2.01081,825
Orlando, FLNot enough data on this day
Miami-Fort Lauderdale, FLNot enough data on this day
San Francisco Bay Area, CANot enough data on this day

By state

Items per online order by state on November 2, 2026. Only states that cleared the threshold are listed.

Items per online order by state on November 2, 2026. Only states that cleared the threshold are listed.
StateLine items per orderRestaurantsOrders
Texas3.0931,128
Georgia2.01362,135
California2.033501
Florida2.057576

States not listed did not clear the threshold on this day.

Take this number

Free to cite with a link, and free to embed. The API returns published cells only.

  • JSON https://kwick365.com/api/v1/reading/online-items-per-order/?geo=us
  • Chart <iframe src="https://kwick365.com/embed/online-items-per-order/us/" width="560" height="390" style="border:0" title="Items per online order — Kwick365"></iframe>

The other readings

Every other Kwick365 reading, nationally, as of its own latest published day.

Every other Kwick365 reading, nationally, as of its own latest published day.
ReadingLatestSampleAs of
Online order ticketmedian $ per order$30.68645 restaurants, 8,626 orders
Online tip ratemedian tip ÷ subtotal15.0%645 restaurants, 888 tipped orders — 10.3% of 8,626 orders
Online orders per restaurantorders per active restaurant13.4645 restaurants, 8,626 orders
In-store ticketmedian of each restaurant’s average ticket$32.641,409 restaurants, 109,293 orders
In-store orders per restaurantmedian orders per restaurant61.01,409 restaurants, 109,293 orders
Restaurants trading in storerestaurants1,4091,409 restaurants, 109,293 orders
Restaurants in the indexrestaurants1,919counted from the menu index on the build date
Median Google ratingstars out of 54.31,614 restaurants with 50 or more Google reviews
Rated 4.5 or bettershare of rated restaurants34.0%1,614 restaurants with 50 or more Google reviews

All readings · Price indexes · Metros