Damp Prevalence Statistics

Every row is a verbatim sentence read from the named source's own page through our fetch service on the date shown, hash-pinned to the stored read (the sha of the page's visible text; the raw page is mirrored to R2).

3 of the 6 named sources that could be read published a usable figure; 3 published none and are recorded as not published, never filled in; 1 could not be read (blocked, dead or unreachable) and count nowhere.

The headline figures (median, minimum, maximum, quartiles) are over ONE figure per source for each breakdown it prices, in % (a source's median where its page yielded several accepted sentences for one breakdown), so a page that gives figures for several breakdowns gives one for each and N counts 5 figures, never sentences; 123 candidate sentence(s) were refused by a reviewer with the reason recorded.

The fuller derivation this dataset is chartered to grow into (not yet what the figures above are; they are each source's own published figure as read): one row per nation per year per breakdown: the share of dwellings with damp, split by tenure, region, dwelling age and household characteristics, each taken from that nation's own statutory house-condition survey.

The derivation is the thing no single agency publishes, because each publishes only its own nation on its own definition: a four-nation comparison on a stated common definition (England counts penetrating damp, rising damp or extensive mould; Scotland reports the inverse, dwellings FREE of damp; Wales reports damp, mould and condensation together), the series across years, and - the figure that turns a search into a page - the base rate for a house like the searcher's, so 'my bedroom wall is damp' can be answered with what share of homes of that tenure and age have the same problem.

The definitional mismatch is published as part of the dataset, not hidden by it.

123 candidate sentences on these pages were refused by a reviewer; each refusal and its reason is recorded in the review ledger.