Statistics Roundup Pages: Complete Content Specification

A statistics roundup is a curated, maintained collection of figures that answers one bounded topic question. Every published number carries its original source, measurement period, publication or release date, population, geography, unit, and enough context to interpret it.

Its value is not the number of numbers. Its value is traceability: a reader, journalist, analyst, or AI answer system can lift a figure without detaching it from the conditions that make it true. This evidence format belongs in the SEO post types system when the audience needs a current reference rather than a new study or a complete topic tutorial.

The editorial contract is strict: never cite a roundup of a roundup, never disguise two versions of the same dataset as independent evidence, and never leave an old figure live merely because it still earns traffic. A stale statistics page actively misinforms.

Questions it answers

An awareness-stage reader usually arrives with a factual question but may not know who owns the answer. Resolve:

• “What are the most useful current figures about this topic?”
• “Who collected each figure, for which population, geography, and period?”
• “Is this a count, rate, percentage, estimate, forecast, or index?”
• “Can I quote it accurately, and what qualification must stay attached?”
• “How do related figures differ rather than contradict one another?”
• “Which figures are newest, and when will they be reviewed again?”
• “Where can I inspect the original report, table, or dataset?”

The direct answer states the topic boundary, coverage period, source rule, and last review date.

When to use this post type

Use a statistics roundup when people repeatedly seek a group of related figures, the primary sources are accessible, and the team can own continuing verification. The format is justified when curation reduces real research work: normalizing definitions, separating current values from forecasts, resolving duplicated citations, and keeping source lineage intact.

Do not publish one merely because “statistics” appears to attract links. If no editor can monitor releases and corrections, publish a smaller sourced section inside another page.

If the best material consists mainly of your own analysis, change the page type to original research and publish the method. If the figures are useful only as context for a wider lesson, keep them inside the canonical guide rather than creating a competing URL.

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Best for these business types

The ranking reflects public data, citation demand, and maintenance capacity. Regulated topics require stronger review.

1. Media publishers and affiliates . Editorial teams can turn fragmented releases into a dependable reference, provided commercial relationships never determine which figures appear or how they are framed.
2. B2B services . Consultants and research-led firms can organize industry benchmarks their buyers repeatedly need. Separate genuinely independent evidence from vendor-funded claims and define enterprise-size or sector bands.
3. Finance, fintech, and insurance . Regulators and statistical agencies produce valuable time-series data, but currency, jurisdiction, inflation basis, forecast status, and revision dates must remain visible.
4. Healthcare and pharmacy . Public-health figures attract legitimate demand, yet population, diagnostic definition, confidence interval, clinical review, and release cycle cannot be compressed into an alarming headline.
5. SaaS . Category adoption, security, work behavior, and operational benchmarks can support awareness. Vendor surveys need sample, recruitment method, sponsor, and field dates beside the claim.
6. Ecommerce . Market size, channel behavior, delivery, and category trends are useful when country, currency, nominal-versus-real basis, and forecast assumptions are explicit.

Search intent

search intent is the outcome behind a query. Here it is usually factual discovery with a citation task: “remote work statistics 2026,” “average delivery time statistics,” or “cybersecurity spending data.” The reader wants figures quickly, but their next action may be writing, planning, validating a presentation, or comparing a benchmark.

A search engine results page often mixes official releases, research reports, press coverage, old high-ranking roundups, charts, and answer snippets. Inspect whether freshness is expressed by a year, geography, industry, or audience. Then verify every candidate at its origin; result prominence is not source quality.

AI answers typically return a short bullet list that may merge periods, omit denominators, or cite a derivative page. Write each statistic as a self-contained claim: value + unit + measured subject + geography + measurement period + primary source. Keep the qualification in the same sentence or immediately after it so extraction does not turn “survey respondents” into “all adults.”

Capture query, market, device, date, and interface. One observation does not establish permanent intent.

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Page structure

Target 2,000–3,200 words plus the source records. A large topic should be split by audience or geography rather than padded to a round headline count.

Remove a weak or duplicate figure even if the title then needs a lower number.

Required elements

Frontmatter

Follow the frontmatter specification and use the stable entity value post-type-statistics-roundup for this specification. A production roundup should use a topic-specific value such as statistics-b2b-software-adoption, not a search phrase stuffed with a year. Keep the year in the title only when users need it; the canonical entity should survive annual refreshes.

Use schemaType = "Article" by default. Dataset is appropriate only when the publisher exposes an actual dataset with creator, license, description, temporal coverage, spatial coverage, variables, and a working distribution or access route. Curating figures from several reports does not transfer ownership of those datasets. FAQPage may be added only when visible FAQ content and structured records match exactly and current policy supports the implementation.

In addition to standard title, description, date, taxonomy, links, and FAQ fields, the publishing model should store lastReviewed, nextReviewDue, reviewOwner, and a source status for each figure. If the current theme cannot render those fields, keep the same information visibly in the body and source register rather than hiding it in editorial notes.

Full example

This copy-pasteable skeleton uses explicit records instead of invented values. Replace every angle-bracket field before publication; if one cannot be completed, remove the statistic.

# <Topic> statistics: <coverage year or range>

Reviewed <day month year>. This page covers <audience, geography, and topic boundary>. Every figure links to the organization that produced the data; media articles and other roundups are used for discovery only.

## Key findings

- **<Value and unit>** of <measured population> <finding>, in <geography> during <measurement period>. — <Primary issuer, release year>
- **<Value and unit>** <finding>, among <sample or denominator> measured in <field dates>. — <Primary issuer, release year>

## Scope and method

Included: <eligible source types, dates, populations, and geographies>.
Excluded: <forecasts, vendor estimates, inaccessible methods, duplicate datasets, or other boundaries>.
Cutoff: <day month year>. Values are reproduced as published unless a transparent calculation is shown.

## <Reader question or theme one>

### <Plain-language finding>

**Statistic:** <Value, unit, subject, geography, and measurement period>.

**What it means:** <Bounded interpretation that does not imply causation or a wider population>.

**Source record:** <Issuer>, “<Original report or table title>,” <table/page/section>, released <date>, data collected <period>, accessed <date>, <direct URL>.

**Method and limitation:** <Sample, weighting, confidence interval where supplied, definition, sponsor, missing coverage, or revision status>.

## Comparable figures over time

| Period | Value and unit | Population and geography | Definition status | Primary source |
|---|---:|---|---|---|
| <Period> | <Value> | <Population> | <Unchanged or explained break> | <Issuer and direct URL> |

## How to cite these figures

Cite the primary issuer, original title, release date, table or page, and direct URL. Preserve the period, geography, denominator, and estimate or forecast label. This roundup is a navigation and interpretation layer, not the origin of third-party data.

## Sources and provenance

1. <Figure ID> — <complete primary-source record> — status: <current, superseded, corrected, or archived> — next check: <date>.

## Update log

- <Date> — <Figure ID> <added, replaced, corrected, or archived>; <reason and material definition change>; reviewed by <owner>.

## FAQ

<Five or more questions that remain after the statistics and source notes.>

## Next step

<One action to inspect source citations, download owned data, or monitor the topic.>

The repeated source record keeps a denominator attached when a statistic is copied. Stable figure IDs support replacement, archiving, and audit.

Design gallery

Every design preserves the claim, unit, denominator, geography, period, source, checked date, and status in readable text. Never hide limitations behind interaction.

Quality checklist

• The title and introduction define topic, audience, geography, and coverage period.
• Every figure resolves to the original report, table, dataset, or official release—not another roundup or press retelling.
• Every claim includes value, unit, subject, geography, measurement period, and issuer.
• Percentages name their denominator; survey results name sample and field dates.
• Estimates, forecasts, modeled values, seasonally adjusted values, and provisional releases are labeled.
• Two figures derived from the same underlying dataset are not presented as independent corroboration.
• Tables compare compatible definitions, or visibly mark a series break.
• Sponsor, method, sample, weighting, and material limitations are disclosed where relevant.
• Each source URL works and lands close enough to the figure for a reviewer to verify it.
• The hero shows the last full review, and every source has a status and next review trigger.
• Material replacements and corrections appear in the update log under a stable figure ID.
• Key findings preserve the same qualifications as the detailed entries.
• The CTA follows the reference task instead of gating sources or forcing a sales request.

Common mistakes

• Citing a roundup of a roundup. Repetition is not provenance. Follow every trail to the producing body; omit the number when the original wording and method cannot be checked.
• Using publication year as measurement year. A report released in 2026 may describe 2025 fieldwork or a forecast for 2030. Put all three dates in their proper roles.
• Dropping the denominator. “Forty percent prefer X” is meaningless without who answered, which response options existed, and whether respondents could choose more than one.
• Mixing counts, shares, rates, and percentage-point change. These units answer different questions. A move from 20% to 25% is five percentage points, not merely “up 5%.”
• Treating estimates as observations. Market-size models and forecasts depend on assumptions. Label them and avoid placing them beside measured administrative data as if they had the same certainty.
• Counting duplicate datasets as consensus. A regulator table, its press release, and three news articles may all repeat one observation. Cite the table once.
• Cherry-picking a dramatic geography. A country, age group, customer segment, or exceptional quarter cannot silently represent a global population.
• Leaving dead sources live. A broken URL, withdrawn paper, corrected table, or redesigned database triggers review. Preserve an archived record where lawful, but link readers to the current official location.
• Changing a figure without a record. Silent replacement makes previous citations impossible to reconcile. Keep the figure ID and log what changed and why.
• Refreshing the year but not the evidence. Changing the title to 2027 while retaining 2024 data is deceptive. Update the sources first; the title follows the verified coverage.

Internal linking

The roundup owns the evidence inventory and source status. Keep one canonical URL for each bounded statistics topic.

• Original research may be one primary source in the roundup, but its own page owns method, analysis, downloadable data, and limitations.
• An ultimate guide may quote two or three decisive figures and link here for the maintained register; it should not copy the whole list.
• A what-is-X page may use one current statistic to explain relevance, but it owns the definition and conceptual boundaries.
• A listicle guide may use figures to justify selection criteria, but it owns the entries and recommendation logic.
• Related annual roundups should refresh the same canonical URL unless audience, geography, or subject is materially different. Do not create /2026/, /2027/, and “latest” pages that compete for the same intent.

Link unfamiliar terms to their canonical explanations. Place the single product action after sources, provenance, and FAQ.

How to measure results

Start with how we measure results : record baseline queries and prompts, publication date, source count, source-status coverage, and the next review date. Measure discovery for topic-plus-statistics queries, citations to the roundup, citations onward to primary sources, engaged use of themed sections, and appropriate next actions. Backlinks matter, but a link earned by a misquoted number is a quality incident rather than a clean win.

In AmICited, use Source & Citation Intelligence to see which exact pages answer engines cite for the tracked statistics prompts, whether your roundup becomes a source, and whether an official issuer is preferred. Inspect the stored answer, not just a citation total: the value, period, geography, and denominator must survive. Content Freshness helps monitor whether the roundup is being updated and whether competing sources are publishing newer material.

Review tracked questions before and after each material refresh in open the citation report . Record when an answer still cites a superseded figure, when a competitor replaces you with a newer source, and when AI systems quote the page but strip a qualification. Those observations drive corrections to sentence structure, source placement, and refresh priority; they do not prove that publication caused a wider business outcome.

FAQ

What counts as a primary source for a statistic?

A primary source is the organization, researcher, regulator, or dataset owner that produced or directly collected the underlying data. A press release may point to the source, but the roundup should cite the report, table, dataset, or official release where the figure and method can be checked.

How many statistics should a roundup contain?

Use the number needed to answer the defined topic without padding. Twenty well-scoped, non-duplicative figures with complete source records are more useful than one hundred variants copied from derivative articles. Coverage, provenance, and interpretability matter more than the headline count.

How often should a statistics roundup be refreshed?

Set cadence from the fastest-moving important source, not an arbitrary annual schedule. Review volatile market or platform figures monthly or quarterly, stable census-style figures after the issuing body’s release cycle, and every entry immediately when a source is corrected, withdrawn, or redefined.

Can a roundup cite another statistics roundup?

Use another roundup for discovery only. Follow its citation to the originating report or dataset, confirm that the number, date, denominator, geography, and wording match, and cite that primary source. If the origin cannot be verified, omit the figure or label it as an unresolved lead outside the published page.

Should old statistics be deleted?

Delete or archive a figure when it no longer answers the page’s current question, but preserve a meaningful time series when historical comparison is the point. Never silently replace a year or denominator in a way that changes the claim; record material changes in the update log.

What schema should a statistics roundup use?

Use Article by default. Use Dataset only when the page describes an actual accessible dataset with the required metadata, license, creator, temporal and geographic coverage, and download or access route. A table of cited figures is not automatically a dataset.

Keep every number current and traceable

Choose the five figures most likely to be quoted, verify each at its origin, and record its next release trigger. Then open the citation report to see which sources AI answers currently trust and whether their wording preserves the essential qualification.