2026 Structured Data Blueprint

The Ultimate StatisticalVariable
Schema Generator

StatisticalVariable represents any type of statistical metric that can be measured at a place and time. The usage pattern for StatisticalVariable is typically expressed using Observation with an explicit populationType, which is a type, typically drawn from Schema.org. Each StatisticalVariable is marked as a ConstraintNode, meaning that some properties (those listed using constraintProperty) serve in this setting solely to define the statistical variable rather than literally describe a specific person, place or thing. For example, a StatisticalVariable Median_Height_Person_Female representing the median height of women, could be written as follows: the population type is Person; the measuredProperty height; the statType median; the gender Female. It is important to note that there are many kinds of scientific quantitative observation which are not fully, perfectly or unambiguously described following this pattern, or with solely Schema.org terminology. The approach taken here is designed to allow partial, incremental or minimal description of StatisticalVariables, and the use of detailed sets of entity and property IDs from external repositories. The measurementMethod, unitCode and unitText properties can also be used to clarify the specific nature and notation of an observed measurement.

Includes:additionalTypealternateNameconstraintPropertydescriptiondisambiguatingDescriptionidentifierimagemainEntityOfPage+14 more
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StatisticalVariable Schema

Fill in the fields below to generate your JSON-LD. Required fields are marked with *.

Required Fields

The name of the item. (Expects: Text)

Recommended

An image of the item. This can be a [[URL]] or a fully described [[ImageObject]]. (Expects: ImageObject, URL)

URL of the item. (Expects: URL)

Why use StatisticalVariable?

Structured data like StatisticalVariable markup helps search engines identify the most important details about your content instantly, improving your chances of earning rich results.

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What is StatisticalVariable Schema?

StatisticalVariable represents any type of statistical metric that can be measured at a place and time. The usage pattern for StatisticalVariable is typically expressed using Observation with an explicit populationType, which is a type, typically drawn from Schema.org. Each StatisticalVariable is marked as a ConstraintNode, meaning that some properties (those listed using constraintProperty) serve in this setting solely to define the statistical variable rather than literally describe a specific person, place or thing. For example, a StatisticalVariable Median_Height_Person_Female representing the median height of women, could be written as follows: the population type is Person; the measuredProperty height; the statType median; the gender Female. It is important to note that there are many kinds of scientific quantitative observation which are not fully, perfectly or unambiguously described following this pattern, or with solely Schema.org terminology. The approach taken here is designed to allow partial, incremental or minimal description of StatisticalVariables, and the use of detailed sets of entity and property IDs from external repositories. The measurementMethod, unitCode and unitText properties can also be used to clarify the specific nature and notation of an observed measurement.

Why It Matters for SEO

Google uses StatisticalVariable structured data to understand the content and context of your pages. When correctly implemented, this schema can unlock rich results in Google Search β€” enhancing your listing with additional information that dramatically improves visibility and click-through rates.

Why Add StatisticalVariable Structured Data?

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Appear in Rich Results

Structured data helps Google show enhanced results for your pages in search β€” including stars, prices, FAQs, and more.

πŸ“ˆ

Boost Click-Through Rate

Rich snippets can increase CTR by up to 30% compared to plain search results β€” more clicks with the same ranking.

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Feed AI Search Engines

AI answer engines like Perplexity and Google SGE use structured data to verify and cite facts from your content.

How to Implement StatisticalVariable JSON-LD

1

Generate

Use the form above to fill in your details and generate valid StatisticalVariable JSON-LD markup in seconds.

2

Copy

Copy the generated JSON-LD output code with one click β€” it's already formatted and ready to deploy.

3

Deploy

Paste the code into your <head> tag, or use SchemaGen's SDK to deploy without touching code.

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Properties You Can Include

StatisticalVariable schema supports the following schema.org properties. Required fields are the minimum Google needs to consider your markup valid; recommended fields unlock richer search result appearances.

PropertyDescriptionExpected TypeStatus
additionalTypeAn additional type for the item, typically used for adding more specific types from external vocabularies in microdata syntax. This is a relationship between something and a class that the thing is in. Typically the value is a URI-identified RDF class, and in this case corresponds to the use of rdf:type in RDF. Text values can be used sparingly, for cases where useful information can be added without their being an appropriate schema to reference. In the case of text values, the class label should follow the schema.org style guide.Text, URLOptional
alternateNameAn alias for the item.TextOptional
constraintPropertyIndicates a property used as a constraint. For example, in the definition of a StatisticalVariable. The value is a property, either from within Schema.org or from other compatible (e.g. RDF) systems such as DataCommons.org or Wikidata.org.Property, URLOptional
descriptionA description of the item.Text, TextObjectOptional
disambiguatingDescriptionA sub property of description. A short description of the item used to disambiguate from other, similar items. Information from other properties (in particular, name) may be necessary for the description to be useful for disambiguation.TextOptional
identifierThe identifier property represents any kind of identifier for any kind of Thing, such as ISBNs, GTIN codes, UUIDs etc. Schema.org provides dedicated properties for representing many of these, either as textual strings or as URL (URI) links. See [background notes](/docs/datamodel.html#identifierBg) for more details.PropertyValue, Text, URLOptional
imageAn image of the item. This can be a URL or a fully described ImageObject.ImageObject, URLRecommended
mainEntityOfPageIndicates a page (or other CreativeWork) for which this thing is the main entity being described. See [background notes](/docs/datamodel.html#mainEntityBackground) for details.CreativeWork, URLOptional
measuredPropertyThe measuredProperty of an Observation, typically via its StatisticalVariable. There are various kinds of applicable Property: a schema.org property, a property from other RDF-compatible systems, e.g. W3C RDF Data Cube, Data Commons, Wikidata, or schema.org extensions such as [GS1's](https://www.gs1.org/voc/?show=properties).PropertyOptional
measurementDenominatorIdentifies the denominator variable when an observation represents a ratio or percentage.StatisticalVariableOptional
measurementMethodA subproperty of measurementTechnique that can be used for specifying specific methods, in particular via MeasurementMethodEnum.DefinedTerm, MeasurementMethodEnum, Text, URLOptional
measurementQualifierProvides additional qualification to an observation. For example, a GDP observation measures the Nominal value.EnumerationOptional
measurementTechniqueA technique, method or technology used in an Observation, StatisticalVariable or Dataset (or DataDownload, DataCatalog), corresponding to the method used for measuring the corresponding variable(s) (for datasets, described using variableMeasured; for Observation, a StatisticalVariable). Often but not necessarily each variableMeasured will have an explicit representation as (or mapping to) an property such as those defined in Schema.org, or other RDF vocabularies and "knowledge graphs". In that case the subproperty of variableMeasured called measuredProperty is applicable. The measurementTechnique property helps when extra clarification is needed about how a measuredProperty was measured. This is oriented towards scientific and scholarly dataset publication but may have broader applicability; it is not intended as a full representation of measurement, but can often serve as a high level summary for dataset discovery. For example, if variableMeasured is: molecule concentration, measurementTechnique could be: "mass spectrometry" or "nmr spectroscopy" or "colorimetry" or "immunofluorescence". If the variableMeasured is "depression rating", the measurementTechnique could be "Zung Scale" or "HAM-D" or "Beck Depression Inventory". If there are several variableMeasured properties recorded for some given data object, use a PropertyValue for each variableMeasured and attach the corresponding measurementTechnique. The value can also be from an enumeration, organized as a MeasurementMethodEnum.DefinedTerm, MeasurementMethodEnum, Text, URLOptional
nameThe name of the item.TextRequired
numConstraintsIndicates the number of constraints property values defined for a particular ConstraintNode such as StatisticalVariable. This helps applications understand if they have access to a sufficiently complete description of a StatisticalVariable or other construct that is defined using properties on template-style nodes.IntegerOptional
ownerA person or organization who owns this Thing.Organization, PersonOptional
populationTypeIndicates the populationType common to all members of a StatisticalPopulation or all cases within the scope of a StatisticalVariable.ClassOptional
potentialActionIndicates a potential Action, which describes an idealized action in which this thing would play an 'object' role.ActionOptional
sameAsURL of a reference Web page that unambiguously indicates the item's identity. E.g. the URL of the item's Wikipedia page, Wikidata entry, or official website.URLOptional
statTypeIndicates the kind of statistic represented by a StatisticalVariable, e.g. mean, count etc. The value of statType is a property, either from within Schema.org (e.g. median, marginOfError, maxValue, minValue) or from other compatible (e.g. RDF) systems such as DataCommons.org or Wikidata.org.Property, Text, URLOptional

Example StatisticalVariable JSON-LD

Here's what valid StatisticalVariable structured data looks like with sample values filled in. Use the generator above to replace these with your own data.

Example Output
{
  "@context": "https://schema.org",
  "@type": "StatisticalVariable",
  "name": "Example StatisticalVariable",
  "image": "https://example.com/images/example.jpg",
  "url": "https://example.com/page",
  "additionalType": "Example additionalType",
  "alternateName": "Example alternateName",
  "constraintProperty": {
    "@type": "Property",
    "name": "Example Property",
    "image": "https://example.com/images/example.jpg",
    "url": "https://example.com/page"
  },
  "description": "A sample description for this StatisticalVariable.",
  "disambiguatingDescription": "Example disambiguatingDescription"
}

Validate Your StatisticalVariable Schema

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Free Schema Audit Tool β†’

Check your StatisticalVariable schema for errors and Rich Result eligibility