Every number in this library is measured, not collected from other blogs. The data comes from a live graph of 270 million professionals and 210 million local businesses.
Updated September 2026. Figures refresh with each report’s stated as-of date.
Here’s why this page exists. A while back, I spent an afternoon chasing a single statistic through five different marketing blogs. Each one cited the next. The trail ended at a survey from 2019 whose original page no longer loaded. Nobody had the number. Everybody had quoted it. That afternoon annoyed me enough to start this program.
So we built the thing I wished existed: a folder of business statistics reports where every figure is queried directly from a dataset we operate, dated, and explained. No recycled surveys presented as fresh research. When we cite an external source, it is a primary one, linked. When a number is ours, you can read exactly how we counted it. Quote anything here with a link back. That is the whole deal.
Who is this for? Writers and journalists who need a citable number with a source that will still exist next year. Founders and marketers sizing a market. Analysts who want the table behind the chart, not just the chart. If you have ever typed “statistics” into Google and gotten five copies of the same unsourced listicle, this folder is the antidote.
The Data Graph Behind the Reports
Four connected datasets power everything published in this folder. Here they are, measured on September 17, 2026:
In plain terms: the contact graph holds 270,154,592 professional records with company and role context. The local business dataset holds 210,289,792 public business listings worldwide, including websites, phones, and reviews. The company graph tracks 22,012,935 LinkedIn company profiles. And the job change stream detected 224,684,415 company and title transitions between June 1 and September 17, 2026. Each report queries one or more of these, and says which.
Where the Records Come From
The local business dataset is global, and its geography shapes what we can measure. These are the twelve largest countries by business records:
| Country | Business records | Country | Business records |
|---|---|---|---|
| India | 35,982,618 | Mexico | 6,173,682 |
| China | 23,377,010 | Germany | 5,472,994 |
| United States | 18,400,261 | France | 4,714,053 |
| Indonesia | 14,685,225 | Italy | 4,265,679 |
| Brazil | 10,608,516 | United Kingdom | 4,017,355 |
| Japan | 7,616,459 | Vietnam | 3,808,848 |
The twelve largest countries by business records
Source: CUFinder local business dataset, 210M+ records worldwide, September 2026.
US-focused reports lean on the 18.4 million US listings, where field coverage is deepest. Global cuts always say “on file” when a field’s coverage varies by country. And when a question is best answered by official government data, the report says so and uses it.
Why does the mix matter? Because a dataset’s geography is a bias you should be allowed to see. India holds more business records here than any other country, yet most of our reports focus on the US, where websites, reviews, and phone fields are dense enough to measure honestly. That is a choice, and we would rather show you the map than hide it.
The Reports
The library comes in three shapes. Flagship reports answer one big question with original measurement, the studies you cite by name. Statistics roundups are reference pages for a whole topic, mixing our measured data with verified official sources. Industry pages apply the same measurements to a single trade. Every page follows the same structure: a headline number up front, key takeaways you can copy, charts paired with their full data tables, numbered stats you can deep-link, and a methodology box at the end.
Flagship Data Reports
Original studies built on questions nobody had measured at this scale:
- The No-Website Economy: 42.9% of US local businesses, 7.9 million in total, have no website. Measured by industry, state, and country.
- The Review Gap Report: 44.5% of US businesses have zero reviews. The full review landscape, from empty profiles to thousand-review giants.
- Job Change Statistics: 224.7 million job changes detected in about three months, with tenure and turnover benchmarks from the BLS.
Statistics Roundups
The reference pages: our measured data where we have it, verified primary sources where official data is the honest answer:
- Small Business Statistics: counts, digital presence, reviews, and phone coverage across the US small business population.
- Online Review Statistics: review scores, counts, and distributions from millions of US business listings.
- Cold Calling Statistics: phone reachability and number-type data from the world’s listed business phones.
- Lead Generation Statistics: contact-field fill rates and channel presence across the data graph.
- Small Business Failure Rate: official BLS survival data, explained honestly, with our data as context.
Industry Statistics
Per-industry profiles cut from the same US dataset: counts, geography, digital presence, reviews, and phone types for each trade:
- Landscaping Industry Statistics
- Restaurant Industry Statistics
- Trucking Industry Statistics
- HVAC Industry Statistics
- Real Estate Agent Statistics
- Salon Industry Statistics
- Insurance Industry Statistics
One relative lives outside this folder: our local business statistics page profiles the 210-million-record local dataset itself in depth. This folder builds themed reports on top of it.
How We Work: Program Methodology
Every report in this folder follows the same rules. They are boring on purpose. Boring is what makes a number safe to quote.
First-party numbers are queried, dated, and full-count where possible. We run read-only queries against replicas of our own datasets. Each report states its query date (“as of September 17, 2026”), and full counts are used whenever the database can deliver them. When a figure comes from a sample instead, the report says so and names the sample size. Sampled numbers are always labeled estimates.
External numbers are verify-first. Before an outside statistic appears here, we re-verify it at its primary source: the government release, the original survey, the company’s own publication. If the primary source cannot be found or no longer says what everyone quotes, the stat is dropped. We never cite stats aggregators, and we never launder a survey through three blogs.
Ours and theirs stay clearly separated. A CUFinder measurement reads “(CUFinder, September 2026)”. Official data reads “(BLS)” or “(US Census Bureau)” with a link. Where official data is simply better, business failure rates, for example, our reports say so and put the official series first.
We publish the limits, not just the numbers. Listing data cannot see businesses that never list publicly. Profile data skews toward people who keep public profiles. Some fields are only discoverable through others, and where that creates a blind spot, the report names it rather than quietly charting around it. Every report carries its own methodology box with dataset sizes, definitions, and caveats.
Updates keep their history honest. Reports carry an “Updated” line and refresh as the underlying data moves. Headline figures change when the data changes, not when the calendar suggests a rewrite would look fresh.
💡 Pro tip: Citing a stat from any report here? Use the numbered stat anchors (stat-1, stat-2, and so on) to deep-link the exact figure, and keep the as-of date with the number.
How to Cite These Reports
Quote freely, link back, keep the date. Pattern: “According to CUFinder’s [report name] ([month year]), [stat].” Each report ends with a ready-made citation sentence and its canonical URL, and the numbers on this hub page follow the same rule.
FAQ
Where do these numbers come from?
From direct queries against CUFinder’s own data graph: 270 million contacts, 210 million local business listings, and 22 million company profiles. External figures come only from re-verified primary sources like the BLS and US Census Bureau, always linked.
How often are the reports updated?
Each report carries an “Updated” line and an as-of date on every first-party figure. We refresh reports when the underlying data moves meaningfully, and the date always tells you exactly which snapshot you are quoting.
Can I cite these statistics?
Yes, that is what they are for. Quote any figure with a link back to the report it came from. Every report includes a ready-made citation sentence, and numbered stat anchors let you deep-link individual figures.
Why do your numbers differ from survey statistics?
Because we measure records instead of asking panels. A survey reaches perhaps a thousand owners who opted in; our queries count millions of listings directly. Both are valid, and our reports explain the gap whenever the two disagree.
What can’t this data see?
Businesses with no public listing, professionals without public profiles, and fields whose discovery depends on other fields. Every report names its blind spots in a methodology box. If a limitation would change how you read a number, it is printed next to the number.
It’s Time to Stop Quoting Ghosts
Statistics deserve sources the way claims deserve evidence. Bookmark this page, pull what you need, and check back as the library grows. And if a number you need is not measured yet, tell me. The queue is real, and reader questions shape it. You got this!
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