The Guernsey Business Census · Methodology
How this census counts
Every figure on the census is meant to be checkable by a stranger with an afternoon. That means naming the population it is counted over, saying how much of that population the figure actually knows about, and refusing to print the ones that know too little. This page is those rules.
Figures on this page are live — as of 10 September 2026
Three populations, always named
#populations ⧉There is no such thing as “the number of businesses” without a base. Every figure on the census is counted over one of three, and says which.
- Everything active
- 3,681
- Every organisation with a live trading or public presence in the Bailiwick that we have verified: businesses, charities, clubs, churches, public bodies. A company registration on its own does not qualify; a market stall with customers does.
- With a primary sector
- 3,415
- Those we have classified into one of the sixteen sectors. Sector counts add up to this number, not to the one above — the difference is organisations still awaiting classification, and the census says so beside the chart.
- With the attribute on record
- varies
- A distribution of founding years describes the organisations that publish a founding year, not the island. That base is printed under every chart, and it is what the coverage figures below measure.
One consequence worth knowing before you quote anything: an organisation tagged in two sectors is counted in both wherever the census says “works in”. Those charts add up to more than the island does, on purpose, and they never say “is in”. The cross-sector chart is the one built on that basis.
What a number is allowed to do
#tiers ⧉Coverage is the share of the population that has the attribute on record. It decides what a figure may be used for — and the renderer enforces it, so a thin number cannot be promoted into a headline by choosing a different chart.
| Tier | Test | May be |
|---|---|---|
| Citable | Coverage at or above 60% and at least 30 organisations — or the base is complete by construction, or the figure is reconciled against a public register | A headline, a share card, a line in a press kit |
| Indicative | Coverage at or above 30% and at least 15 organisations | A chart inside its own section, wearing a visible “indicative” badge. Never a headline |
| Suppressed | Anything below that | Nothing. The section prints the gap instead — the blank is the point |
“Complete by construction” means every organisation necessarily has an answer: it is on one island or another, it either publishes a website or it does not. Those figures need no coverage test because there is nothing to be missing.
What the census knows today
#coverage ⧉Live coverage per attribute, from the same aggregates the charts read. Follow a row to the section it governs.
| On record | Organisations | Coverage | Tier |
|---|---|---|---|
| A primary sector | 3,415 of 3,681 | 93% | Citable |
| A parish (Guernsey only) | 3,221 of 3,681 | 88% | Citable |
| A founding year | 1,788 of 3,681 | 49% | Indicative |
| A website of its own | 3,681 of 3,681 | complete | Citable |
| A social link | 1,902 of 3,681 | 52% | Indicative |
| Capabilities resolved to the graph | 2,611 of 3,681 | 71% | Citable |
| A weekly opening-hours grid | 1,525 of 3,681 | 41% | Indicative |
| A legal form | 1,689 of 3,681 | 46% | Indicative |
What the census can and cannot say, by sector
#evidence ⧉Every chapter is built from the same 12 modules, and each module publishes only what its own coverage entitles it to. This is all 192 of those decisions at once — 85 of them (44%) clear the citable bar, and the rest are the census saying so. A cell is read from the sector’s own figure, the same one its chapter prints, so the map cannot claim more than the page it points at.
A hatched cell is not a thin one. Hatching means the findings register switched that module off for that sector — a decision about what is worth publishing. Grey means the data is too thin to publish at all. The two look alike on a page that draws neither, which is exactly why they are drawn differently here.
- Citable — may carry a headline
- Indicative — badged, never a headline
- Suppressed — the gap is printed instead
- Gated out — an editorial decision
- Not offered to this sector
- Not loaded
| Sector | Sub-sectors | Parishes | Age | Capabilities | Own module | Website | Social | Legal form | Ownership | Team size | Trust | Hours |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Home & Property1 | ||||||||||||
| Community2 | ||||||||||||
| Health3 | ||||||||||||
| Food & Drink4 | ||||||||||||
| Retail5 | ||||||||||||
| Professional6 | ||||||||||||
| Leisure7 | ||||||||||||
| Finance8 | ||||||||||||
| Automotive9 | ||||||||||||
| Accommodation10 | ||||||||||||
| Media11 | ||||||||||||
| Education12 | ||||||||||||
| Travel13 | ||||||||||||
| Manufacturing14 | ||||||||||||
| Events15 | ||||||||||||
| Agri & Marine16 |
Reading the map
- Sub-sector composition: citable for 15 sectors, indicative for 1 sector.
- Parish geography: citable for 15 sectors, suppressed for 1 sector.
- Founding years: citable for 5 sectors, indicative for 9 sectors, suppressed for 2 sectors.
- Capabilities: citable for 13 sectors, indicative for 2 sectors, suppressed for 1 sector.
- The sector's own module: citable for 2 sectors, indicative for 2 sectors, suppressed for 1 sector, no such module for 11 sectors.
- A website of its own: citable for 15 sectors, suppressed for 1 sector.
- A social account: citable for 15 sectors, suppressed for 1 sector.
- Legal form: citable for 4 sectors, indicative for 5 sectors, gated out for 7 sectors.
- Ownership: citable for 1 sector, indicative for 2 sectors, suppressed for 1 sector, gated out for 12 sectors.
- Team size: suppressed for 1 sector, gated out for 15 sectors.
- Memberships and regulators: indicative for 2 sectors, gated out for 14 sectors.
- Opening hours: indicative for 11 sectors, suppressed for 5 sectors.
Sectors are in the report’s own order — rank by the number of organisations counted — and each row links to its chapter. A module is counted once per sector, so every row and every column adds up to the number of cells drawn, never to a headcount.
Every count is a floor
#floors ⧉The census is a verified subset of the island, and it grows every week. So a count here is the number we can stand behind, not the number that exists. The copy is written to carry that: organisations are “counted”, “on record”, “verified” — never “Guernsey has”. Superlatives are qualified the same way: the oldest on record, the only one we have found.
If you are writing a sentence from a figure here, that qualifier should survive the edit. “3,681 organisations counted” is supportable; “Guernsey has 3,681 businesses” is not, and the difference is the whole point of the page.
Ratios between two counts from the same population are fine and appear throughout. “One in N” is used only where the ratio genuinely rounds to a whole number; otherwise the census prints a percentage rather than flattering the arithmetic.
How complete the count is, and how we know
#recall ⧉The coverage panel states the estimated true trading population as a range — 4,877–5,990 — because it is an estimate and a point estimate would pretend otherwise. It comes from capture–recapture against Google's business listings for the Bailiwick, with every organisation that was itself added from those listings left out of the comparison so the two counts stay independent, measured on 3 September 2026. The central estimate is 5,415, which puts the census at about 68% of the island’s trading organisations; the range spans 61–76%.
The measurement only works while the two enumerations are independent, which is a real constraint rather than a formality: once a source has been used to add organisations to the census, that source can no longer be used to measure how much the census is missing. Each re-measurement therefore leaves out of the comparison every organisation that was itself added from the listing it is being compared against, re-matches every listing the census had not yet resolved, and treats the listings it still cannot verify as unknown rather than as either present or absent — which is where the width of the range comes from. It is re-run rather than assumed. The bar on the coverage meter takes the conservative end of the range, so it can never overstate what has been counted.
The same comparison, sector by sector, gives a measured coverage for each sector’s count. These are the figures the sector pages state; they share the whole-island caveat that organisations invisible to both the census and the listing pull the estimate down, and they are published as percentages only — a sector population would be a point estimate without an interval, which the census does not print.
| Sector | Counted | Coverage |
|---|---|---|
| Events & Celebrations | 58 | 89% |
| Education & Childcare | 68 | 88% |
| Food & Drink | 298 | 86% |
| Travel & Transport | 66 | 86% |
| Community & Public Services | 473 | 84% |
| Financial & Fiduciary | 192 | 82% |
| Manufacturing & Industry | 62 | 80% |
| Retail & Shopping | 303 | 80% |
| Accommodation | 169 | 79% |
| Automotive & Transport | 182 | 79% |
| Professional Services | 242 | 77% |
| Home & Property | 554 | 77% |
| Health & Wellness | 429 | 72% |
| Media & Communications | 95 | 64% |
| Agriculture & Marine | 17 | 63% |
| Leisure & Recreation | 199 | 61% |
Comparing one sector against another
#league ⧉The sector league sets the 16 sectors side by side on the figures they all have: how many organisations are counted in each, how many run a website of their own, how many link a social account, what share of those websites sit on a .gg-family domain, how many have what they do resolved to the capability graph and how deep that goes, the median founding year of the ones that publish a date, how many publish opening hours, the parish each sector is most concentrated in, and how much of each sector the census has found. Every one of those cells is the figure that sector’s own chapter prints — the same query over the same population, computed once — so the table and the chapter can never disagree.
A rank counts citable cells only. A sector whose coverage on a column is merely indicative sits in the table wearing its badge but takes no place in that column’s order, and a superlative is never claimed over it: “the third-highest of 16” means third of sixteen cells that cleared the bar, and where fewer did the sentence says so (“of the 11 sectors where it can be counted”). Equal values are joint. A sector whose own cell is not citable gets no rank sentence at all, on the table or in its chapter.
Single suppliers, by design
#single-suppliers ⧉The single-suppliers table lists the essential services Guernsey gets from one or two organisations. It is the one module on the census built on a published list rather than on a query alone, and this is the list. The services are fixed here; who supplies each is read from the record every hour, through the capability node or the niche named against it, for active organisations on Guernsey. A row is never dropped for having too many suppliers, and a service with nobody on record says so rather than disappearing. The heading counts the services with 2 suppliers or fewer.
Each row states why it has so few suppliers, because that is the finding: a States trading company, a contract let by the States, a licence from a public regulator. Those are public facts, which is what lets the module clear the citable bar on the register-anchor branch of the tier rule (§2) with fewer than thirty rows. The census records who the suppliers are; it takes no view on whether one is the right number.
- Electricity supplyStates-ownedThe island's electricity utility is a States of Guernsey trading company. niche electricity-suppliers-and-distribution →
- Water supply and wastewaterStates-ownedWater and wastewater are States of Guernsey trading services. niche water-supply-and-wastewater-services →
- Scheduled bus servicesStates contractThe island's bus network is run under a contract let by the States of Guernsey. capability scheduled_bus →
- Scheduled airlineStates-ownedThe island's own airline is owned by the States of Guernsey; a second carrier flies under its own licence. capability scheduled_airline →
- Broadband and internet serviceLicensedTelecoms operators are licensed by the Guernsey Competition and Regulatory Authority. capability broadband_isp →
- Fixed-line telephoneLicensedTelecoms operators are licensed by the Guernsey Competition and Regulatory Authority. capability fixed_line →
- Cheese and dairy produceStates-ownedThe island's dairy is a States of Guernsey trading service; a second producer works alongside it. capability dairy_produce →
- Acute hospital careStates-ownedThe island's acute hospital is run by the States of Guernsey. capability acute_hospital_care →
Left off the list on purpose: services whose probe would count the wrong thing. Postal services, because the capability node mixes couriers with post-office counters; mains gas, heating oil, ambulance, fire and policing, because their capability nodes have nobody on record yet — the table names those gaps from the taxonomy itself. Other islands are the mini-census’s business: Sark and Alderney have their own single suppliers, and one row for four islands would print “three electricity companies” for an island with one.
The bias sits next to the chart, not in a footnote
#bias ⧉Four families of figure on the census have a known lean. Each carries its sentence beside the chart, where the number is.
- Founding years →
Counts organisations still trading that publish a founding year; older firms are likelier to do so. Two biases at once — survivorship, because the ones that closed are not here, and reporting, because a founding date is a thing established firms advertise.
- Anything web-derived →
Verified from published evidence; businesses without a web presence are under-represented. Sole traders and Facebook-only businesses are the ones this misses, and the miss is not evenly spread across trades.
- Capabilities →
Capabilities as published by each organisation and resolved to the graph. A service nobody has written down anywhere is not in the graph, and one written down in a way that did not resolve to a known node is not either.
- Register comparisons →
Register rows not yet matched to a trading presence are counted as unmatched, not as non-trading. An unmatched row is a job we have not done, not a business that does not exist.
Where the facts come from
#provenance ⧉Facts on the census are one of three kinds, and only two of them are published here.
- Graph-verified
- the default
- Our own claims, each linked to the published source it came from and re-checked over time.
- Register-anchored
- cited
- Counts reconciled against a public register or directory, cited to that register. These carry a reconciliation badge rather than a coverage percentage.
- Third-party observed
- not published
- Facts observed on someone else's platform — ratings, listing status, map tags. These are used to measure how much the census is missing; they are not published as census figures.
People are aggregate-only on the census. It will tell you how many people hold roles at two or more organisations; it will not rank named individuals on a statistical page.
Rounding, medians and per-head figures
#precision ⧉Counts are exact. Shares are whole percentages. Estimates are ranges, never a point. A median is only printed over a large enough sample; below that the census says “typically” and gives the range, or prints nothing. Per-head figures cite the resident-population source beside the figure, because a density is two numbers and only one of them is ours.
Corrections, and reusing this
#corrections ⧉Coverage is partial and stated openly; a closure can lag reality by weeks. If something here is wrong, that is worth more to us than a polite silence — tell us and corrections ship continuously. Press enquiries: press@island.gg.
The figures are licensed CC BY 4.0 — credit “Island Graph” with a link. Both machine formats are on the data page, and every figure carries its denominator there too.