Kwick365The Independent Restaurant Index

State

Minnesota

Data as of — 30 independent restaurants here are in the index. A state reading covers every one of them, including the ones outside the metros below.

The lead reading

Restaurants in the index

30

restaurants

Sep ’26OctNov3330

Restaurants in the index, as published each day7-day average

This chart as text

Restaurants in the index over the last 365 days. 42 published observations, from September 22, 2026 at 32 to November 2, 2026 at 30. Sample: counted from the menu index on the build date on November 2, 2026.

Every calendar day from September 22, 2026 to November 2, 2026 carries a published observation, so the line is unbroken.

7-day average: 38 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.

Restaurants in the index over the last 365 days
DayPublished value
September 22, 202632
September 23, 202632
September 24, 202632
September 25, 202632
September 26, 202632
September 27, 202632
September 28, 202632
September 29, 202632
September 30, 202632
October 1, 202632
October 2, 202632
October 3, 202632
October 4, 202632
October 5, 202632
October 6, 202632
October 7, 202632
October 8, 202632
October 9, 202632
October 10, 202632
October 11, 202632
October 12, 202632
October 13, 202632
October 14, 202632
October 15, 202632
October 16, 202632
October 17, 202632
October 18, 202632
October 19, 202632
October 20, 202633
October 21, 202633
October 22, 202633
October 23, 202633
October 24, 202633
October 25, 202631
October 26, 202631
October 27, 202631
October 28, 202631
October 29, 202631
October 30, 202631
October 31, 202631
November 1, 202631
November 2, 202630
Restaurants in the index, 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.

−3.2% vs a week earlier

counted from the menu index on the build date

Independent restaurants live in the network on the day the index was built.

Every reading here

Online order ticket

Not enough data

Published once a day here clears 30 restaurants and 500 orders. Nothing is estimated in the meantime.

The median total of a completed online order — what the guest paid, including tip and fees, after discounts.

Online tip rate

Not enough data

Published once a day here clears 30 restaurants and 500 tipped orders. Nothing is estimated in the meantime.

Median tip ÷ subtotal over orders that tipped; incidence = share of orders with a tip.

Items per online order

Not enough data

Published once a day here clears 30 restaurants and 500 orders. Nothing is estimated in the meantime.

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

Online orders per restaurant

Not enough data

Published once a day here clears 30 restaurants and 500 orders. Nothing is estimated in the meantime.

Online orders ÷ stores with at least one online order that day.

In-store ticket

Not enough data

Published once a day here clears 30 restaurants and 500 orders. Nothing is estimated in the meantime.

Median of each store’s average in-store ticket that day.

In-store orders per restaurant

Not enough data

Published once a day here clears 30 restaurants and 500 orders. Nothing is estimated in the meantime.

The median number of in-store orders a restaurant rang up that day.

Restaurants trading in store

Not enough data

Published once a day here clears 30 restaurants and 500 orders. Nothing is estimated in the meantime.

How many restaurants rang up at least one in-store order that day.

Median Google rating

Not enough data

Published once a day here clears 30 restaurants, of which 30 are rated. Nothing is estimated in the meantime.

The median Google rating of restaurants in the index with at least 50 reviews.

Rated 4.5 or better

Not enough data

Published once a day here clears 30 restaurants, of which 30 are rated. Nothing is estimated in the meantime.

The share of restaurants with at least 50 Google reviews that are rated 4.5 or higher.

Price indexes here

A price index needs 30 matching menu items from 15 restaurants in the same place on the same day, so most dishes publish nationally long before they publish locally. Nothing is estimated for the ones that have not.

Median listed menu prices here, each as of its own latest published day.

Median listed menu prices here, each as of its own latest published day.
ReadingLatestSampleAs of
Taco (single)median listed price, per tacoNot enough data yet
Burritomedian listed price, eachNot enough data yet
Pho (regular bowl)median listed price, per bowlNot enough data yet
Pizza slicemedian listed price, per sliceNot enough data yet
Large pizzamedian listed price, per pieNot enough data yet
Burger (basic)median listed price, eachNot enough data yet
California rollmedian listed price, per rollNot enough data yet
Ramen (basic bowl)median listed price, per bowlNot enough data yet
Wings (10 pc)median listed price, per 10 pcNot enough data yet
Chicken fried ricemedian listed price, per orderNot enough data yet
Pad Thaimedian listed price, per orderNot enough data yet
Coffee (regular drip)median listed price, per cupNot enough data yet
Margarita (house)median listed price, eachNot enough data yet

Metros in Minnesota

No metro in Minnesota has the 30 restaurants a metro needs before it is offered as a geography of its own, so the state reading above is the closest view there is.

All metros and states · Benchmark your own restaurant