Blog Zero by City Size: Who Has No Blog
An owner in a small town looks around at the handful of other cafes nearby and wonders whether their own empty blog is a small town problem, something that would fix itself with a bigger local scene. An owner in a big city with dozens of competing shops wonders the opposite, whether size changes the calculus entirely.
Short answer: it barely does. Across more than 1,000 shops across six regions, September 15, 2026, splitting cafes into bands by how many other shops share their city's coffee scene shows the blog zero rate staying stubbornly close to national levels no matter which band a shop falls into. This post walks through the actual bands, the counts behind them, and what that means for an owner deciding whether an empty blog is a size problem or something else entirely.
This question comes up often enough to be worth answering properly with the actual data rather than a guess either way. It is an easy assumption to make in both directions, a small town owner picturing a big city cafe with a marketing team keeping its blog current, or a big city owner picturing a small town shop with more free time and fewer competitors pulling attention away. Neither picture holds up once the actual numbers are laid out by band.
Data
The census this data comes from covers more than 1,000 shops across six regions, snapshot dated September 15, 2026. Each of the 264 audited cities in that census carries an approximate figure for its own coffee scene size, essentially how many independent specialty shops the audit found in that city, and that figure lets every shop be sorted into one of three bands: cities with a scene of 15 or fewer shops, cities with 16 to 30 shops, and cities with more than 30 shops.
It is worth being precise about what scene size actually measures before looking at the rates themselves. It is an approximate figure produced during the audit process, not a formal, exhaustive census of every coffee business in a given city, and it should be read as a reasonable estimate of local competitive density rather than an exact count. That caveat matters because the bands built from it are only as meaningful as the underlying figure, and an approximate measure deserves language that reflects its approximate nature throughout this post.
In the smallest band, cities with a scene of 15 or fewer shops, 598 of 678 shops have no blog posts at all, a rate a little over 88 percent. In the middle band, cities with 16 to 30 shops, 293 of 390 shops have no blog, a rate a little over 75 percent. In the largest band, cities with more than 30 shops, 35 of 41 shops have no blog, a rate a little over 85 percent. Those three groups sum to 926 shops with no blog out of 1,109 total, matching the census total exactly.
Laying the three bands out side by side makes the shape of the finding easier to see. The smallest band, representing the majority of shops in this census at 678 out of 1,109, shows the highest blog zero rate of the three. The middle band, at 390 shops, shows the lowest rate. The largest band, at just 41 shops, lands back up near the smallest band's rate rather than continuing any downward trend. If bigger local scenes reliably pushed shops toward blogging more, the rate would move steadily in one direction as scene size increased. It does not. It dips in the middle and comes back up at the top, which is a pattern more consistent with noise and local variation than with a clean relationship between scene size and blogging behavior.
Read those three numbers next to each other and the pattern that emerges is not a smooth downward slope where bigger scenes mean fewer empty blogs. The middle band actually shows the lowest blog zero rate of the three, not the largest band, and the smallest and largest bands land within a few points of each other despite representing very different kinds of coffee scenes. The honest reading of this is that city size, at least as measured by scene size here, is not doing much work in explaining which shops blog and which do not.
It is worth flagging plainly how thin the largest band is. Only 41 shops across the whole census fall into cities with a coffee scene bigger than 30 shops, which means that 85 percent figure rests on a small group and should not be read as a firm trend the way the other two bands, built on hundreds of shops each, can be. A single city with an unusual pattern could move that band's rate more than a handful of shops could move either of the other two, so this figure deserves real caution before anyone leans on it heavily.
None of this should be read as saying city size causes or prevents blogging, since this data cannot support a causal claim either way. What it can say is that an owner looking at their own town's blog zero rate and assuming a bigger nearby city would show something meaningfully different is probably wrong. The rate stays roughly in the same range across all three bands, which points toward blog zero being closer to a universal default across the industry than a symptom tied to how many competitors happen to share a shop's zip code.
This finding sits next to, and extends, the earlier national blog silence finding, which already established the overall 84 percent blog zero rate across the same census. What this post adds is the city size cut specifically, and the headline is that cutting the data this way does not meaningfully change the picture the national number already painted. An owner in a small town and an owner in a mid sized city are, on this measure, in roughly the same position.
It is worth walking through what this feels like for an owner in each band, since a statistic on its own can be hard to place against daily reality. An owner running a shop in a smaller town, where the local coffee scene might be five or ten shops total, could reasonably assume that a smaller pool of competitors means less pressure to publish anything, since there is no obvious rival's blog to feel behind on. That assumption turns out to be roughly right about the pressure but wrong about the actual outcome, since the blog zero rate in that band, at just over 88 percent, is the highest of the three, not the lowest.
An owner in a mid sized scene, the 16 to 30 shop band where the blog zero rate is lowest at 75 percent, is still looking at a rate where three out of every four shops around them have never posted at all. Even in the band with the most blogging activity relative to the others, an owner starting a blog there is still doing something the clear majority of local peers are not doing. The gap between bands is real but small enough that it should not change an owner's basic calculus about whether writing is worth the time.
An owner in the largest band, a genuinely competitive scene with more than 30 other shops nearby, faces a different kind of pressure that this data cannot fully capture, since standing out among 30 or more competitors is a harder problem than standing out among five or ten, regardless of how many of them blog. But even there, the blog zero rate sits at 85 percent, meaning the vast majority of that competitive field has also left this specific opportunity untouched. A shop willing to write consistently in even the most crowded scene in this census is still working against very little existing competition on this particular front.
None of the three bands, then, gives an owner a reason to wait. The smallest band shows the highest rate of silence, not the lowest. The middle band shows some improvement but still leaves the large majority silent. The largest band, despite representing genuinely crowded coffee scenes, shows almost as much silence as the smallest band does. Whatever is keeping most cafes from blogging, time, unclear return, simply not knowing where to start, it appears to affect shops fairly evenly across very different competitive environments, regardless of how many other cafes happen to share the same zip code.
It is also worth being careful not to read too much certainty into the exact percentages themselves, particularly for the smallest and largest bands where the population sizes differ so much from the middle band. A rate built on 678 shops and a rate built on 41 shops are not equally precise measurements, even though both are stated to two significant figures here. The honest takeaway is the shape of the pattern, blog zero staying high and fairly close together across all three groupings, rather than the exact percentage point differences between them.
A related question worth addressing directly is whether population, rather than the audit's own scene size estimate, would tell a cleaner story. That cross check was part of the research plan behind this study, matching each city to its population figure and comparing the picture against the scene size bands used here. This post does not present that population based cut as a separate, verified set of numbers, since doing so responsibly requires confirming the match rate between city names in the population data and the census before trusting any rate built from it. What can be said honestly is that scene size and population are related but not identical measures of a city's coffee market, and a future study built specifically around a verified population match could add to, though it would not necessarily overturn, the pattern shown here.
It is also worth noting what this study deliberately does not claim. It does not claim that blog zero rates are identical across every city, since real variation obviously exists from one specific city to the next within any given band. It claims something narrower and better supported by the data available, that grouping cities by scene size into these three bands does not reveal a meaningful, consistent relationship between how big a local coffee scene is and how likely its cafes are to have an empty blog. That is a more modest claim than a sweeping statement about city size in general, and it is the claim this data supports.
For an owner deciding what to do with this information, the practical implication is straightforward regardless of which band their own shop falls into. Waiting to see whether local competitors start blogging first is not a strategy this data supports, since the overwhelming majority of shops in every band examined here have not done so and show no particular pattern suggesting that will change based on local scene size alone. Whatever the reason a shop's blog sits empty, it is very unlikely to be explained away by pointing at the size of the local coffee scene.
Related Reading
More from Hillcane on this topic, plus the pages on the site that sit next to the work.
Frequently Asked Questions
Do bigger cities have cafes that blog more?
Not meaningfully, based on this data. Splitting more than 1,000 shops across six regions, September 15, 2026, into bands by local coffee scene size shows blog zero rates of roughly 88 percent in the smallest band, 75 percent in the middle band, and 85 percent in the largest band. There is no smooth pattern where a bigger scene means a lower blog zero rate, and the middle band shows the lowest rate of the three.
What counts as scene size in this study?
Scene size is an approximate audit figure recorded for each of the 264 cities in the census, roughly reflecting how many independent specialty coffee shops the audit identified in that city. It is not a census of every cafe that has ever existed there and should be treated as an estimate, not a precise population count, when interpreting the bands built from it.
How many shops fall into each band?
678 shops fall into the smallest band, cities with a scene of 15 or fewer shops. 390 shops fall into the middle band, cities with 16 to 30 shops. 41 shops fall into the largest band, cities with more than 30 shops. Those three groups sum to the full census total of 1,109 shops, checked September 15, 2026.
Is the largest city band a reliable trend?
It should be treated cautiously. Only 41 shops across the entire census fall into cities with a coffee scene larger than 30 shops, which is a small enough group that a single unusual city could shift the rate noticeably. The smallest and middle bands, built on 678 and 390 shops respectively, rest on far more data and are more reliable as patterns.
Does this mean a small town cafe is unusual for having no blog?
No. An empty blog in a small town cafe fits the same broad pattern found across every city size band in this census, not a distinct small town problem. The smallest band shows a blog zero rate around 88 percent, close to the national figure already established for the full census, so a small town shop with no blog posts is squarely within the norm, not an outlier.
How does this relate to the national blog silence finding?
This study extends that earlier finding rather than repeating it. The national figure already established that 84 percent of shops across the census have no blog posts. This post cuts that same underlying data by city scene size specifically, and the result is that the rate stays in a similar range across all three size bands, reinforcing rather than contradicting the national picture.
Does city population explain the blog zero rate better than scene size?
This study relies on scene size, an audit estimate of local coffee shop count, rather than city population, and does not present a population based comparison as a completed, verified cut of the data. Scene size and population are related but not identical measures, and this post limits its claims to what the scene size bands show rather than extending into a population claim it cannot support.
Why would blog zero rates be so similar across such different city sizes?
This data cannot say why, only that the pattern holds. A reasonable, unproven possibility is that blogging habits are shaped more by factors independent of local competition, time, staffing, platform defaults, than by how many other cafes happen to be nearby. This post does not claim to know the cause and presents the bands as an observed pattern rather than an explained one.
What should an owner take away from this if they are thinking about starting a blog?
That waiting to see what other local cafes do, or assuming a bigger local scene means blogging is already covered by competitors, is not well supported by this data. Blog zero rates stay high across every size band, which means a shop that starts writing is likely standing out relative to most of its local peers regardless of how big or small that local scene is.
Where does the underlying data for this study come from?
From the same nationwide census used across this project's data studies, more than 1,000 shops across six regions, snapshot dated September 15, 2026, matched to city level scene size figures recorded for 264 audited cities. Every shop in the census matched to a city in this cut, so the three bands described here account for the full 1,109 shop total without any unmatched gap.
Work with Hillcane
An owner in a small town wonders if the empty blog is a small town problem. An owner in a big city wonders the opposite. The data says city size barely moves the rate either way.
If your cafe wants help finally filling that empty blog, reach Hillcane at hillcane.co/contact or call (256) 384-2449.
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