State Data Report

Vending machine locations in Illinois, by the numbers

Peru and Hillsboro are the same venue category in the same state signed in the same fortnight. On captive time one is ten times the other.

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Two pinned cards on a board, one near the top and one near the bottom, nothing between them
Same state, same category, nine days apart — and a tenfold gap in captive time. AI-generated image

Illinois signed two bowling alleys nine days apart in July 2026. One reports 270 visitors a day and the other 28. On captive time the gap is roughly 729 visitor-hours against 76 — the widest between two venues of the same type in the same state anywhere in this record.

Figures below come from the 87 signed listings open on PinPoint Vending’s marketplace on October 5, 2026. Traffic is venue-reported and unaudited; no listing reports sales.

By the numbers

MeasureIllinois
Signed placements2
Both of which areBowling alleys
Reporting a visitor count2 of 2
Visitor-hours a day, Peruabout 729
Visitor-hours a day, Hillsboroabout 76
Shares40% and 30% of net

What is on the record for Illinois?

Two venues, fully reported, signed in the same month.

CityVenue typeTierReported visitorsShareSigned
PeruBowling alleyPremium100,000 a year, 270 a day40%Jul 8, 2026
HillsboroBowling alleyStandard10,400 a year, 28 a day30%Jul 17, 2026

Complete reporting on both is better than most states manage. What it buys here is the clearest demonstration in the dataset that a state is not a unit of analysis.

How far apart are they, really?

Further than any same-type pair in the record. Converting each venue’s footfall into hours of exposure — visitors a day times the 2.7-hour bowling visit length, the method behind our ranking of vending locations — puts Peru at roughly 729 and Hillsboro at about 76.

PeruHillsboroNational bowling median
Visitors a day27028137
Visitor-hours a dayabout 729about 76370
Share40%30%40%

Peru exceeds every venue-type median in the dataset, family entertainment centres included, which top the ranking at 445. Hillsboro sits near the floor of everything measured.

The useful consequence is a warning about averages. An Illinois mean of 149 visitors a day describes neither venue and would badly mislead anyone using it to judge a third. Two listings is not a sample; it is two readings.

Does the share follow traffic here?

In Illinois it appears to, which is unusual and worth flagging rather than generalising. Peru took 40% and Hillsboro 30% — the busier venue getting the larger share.

Across the full record, traffic does not move the share. What sorts it is venue category: the pass-through venues all sit at 50% while destination venues cluster at 40% or 30%, largely regardless of footfall, which what the revenue-share data shows across all 87 placements tests directly.

So the Illinois pair is either an exception or an artefact of tier. Peru is premium tier, which requires a venue reporting six figures of annual traffic, and if premium placements systematically carry different terms then the state’s apparent traffic effect is really a tier effect. With two listings there is no way to distinguish those, and claiming otherwise would be reading more than the data holds.

What is missing from Illinois’s record?

Everything except bowling. Illinois has two placements and both are the same category, which leaves the state’s record silent on the four other types that carry the dataset.

Venue typeNational placementsIllinois
Bowling alley182
Indoor playground150
Family entertainment centre110
Trampoline park70
Arcade40

Chicago and its collar counties hold large numbers of all four absent categories, so the gap describes where a sales effort went rather than what Illinois contains — the same caution vending machine locations by state applies across the table.

It also means Illinois’s two data points cannot be used to say anything about the state beyond bowling. A Chicago-area trampoline park has no Illinois comparison at all.

What should an operator take from two listings?

Chiefly that the venue, not the state, is the unit worth assessing. Illinois demonstrates it more cleanly than any other state here: two bowling alleys, one state, one fortnight, and a tenfold difference in the thing that actually determines whether a machine sells anything.

Any state table — including ours — compresses that variation into a count and a median. Illinois’s count is 2 and its median share is 35%, and neither figure tells you whether the venue in front of you looks like Peru or like Hillsboro.

Frequently asked questions

How many vending machine placements does Illinois have?

Two in the record collected on October 5, 2026: bowling alleys in Peru and Hillsboro, signed on July 8 and July 17. Both report a visitor count and a share, so Illinois’s small record is complete.

Which Illinois venue generates more captive time?

Peru, by a factor of about ten. At 270 reported visitors a day and the 2.7-hour bowling visit length it works out to roughly 729 visitor-hours a day, against about 76 for Hillsboro’s 28 visitors.

Is Peru the strongest venue in the dataset?

Among them. Its roughly 729 visitor-hours a day exceeds every venue-type median in the record, including family entertainment centres at 445, which rank highest overall.

Why do the two Illinois venues have different shares?

The record does not say. Peru took 40% and Hillsboro 30%, which is unusual because traffic does not normally move the share across this dataset. Peru’s premium tier may explain it.

What does the Illinois pair show about state-level data?

That a state average can be meaningless. Averaging Peru and Hillsboro gives 149 visitors a day, a figure neither venue resembles and which would mislead anyone using it to assess a third Illinois venue.

Next step

When a locator offers you an Illinois placement, ask which of the two recorded venues it resembles rather than what the state average is — the two differ by a factor of ten on captive time and the average describes neither. Then get the venue’s own daily count in writing, since that single figure separates the strongest venue in this dataset from one of its weakest.

Sources

Data Listing figures come from The Dwell Time vending location dataset: the 87 marketplace listings open on (CSV, CC BY 4.0).

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