Published

Official Statistics

vr.wm-dat-002 · wm-dat-002-official-statistics

Represent an official statistical product as a governed, versioned aggregate of authority, concepts, populations, structures, sources, methods, observations, quality, revisions, releases and confidentiality decisions independent of storage or exchange format.

World Models Information and virtual systems INF.DAT.STA

Bundle → Layer → Finding → Questions Classifiers What it is Why it exists Distinguishing features What robots and AI may and may not do Moral aspects Owners Links to other meta-models Identity and identifiers Direct properties Recognition Capabilities and actions Hazards and failure modes Standards and interfaces Context of use Sources

Bundle → Layer → Finding → Questions Filled

7 bundles · 16 layers · 32 findings · 96 questions

Governance and statistical programme Establishes why a statistical product is official and who is accountable for it.

Authority, purpose and independence

Mandate, public need, impartiality and accountable authority.

Statistical authority, mandate and delegation

Identifies the authority, legal or institutional mandate, delegated producer and accountable roles for the statistical product.

What is the current governed value or definition for statistical authority, mandate and delegation, for which statistical product, population, domain and reference period? authority
Which authority, source, method and processing version establish statistical authority, mandate and delegation, with what quality, uncertainty and provenance? state
Which validation, confidentiality, access or revision rule governs statistical authority, mandate and delegation, and how is prior history preserved? measurement

Public purpose, independence and equal access

Records user need, public value, professional-independence safeguards, impartiality and equal-access commitments.

What is the current governed value or definition for public purpose, independence and equal access, for which statistical product, population, domain and reference period? requirement
Which authority, source, method and processing version establish public purpose, independence and equal access, with what quality, uncertainty and provenance? temporal
Which validation, confidentiality, access or revision rule governs public purpose, independence and equal access, and how is prior history preserved? quality

Programme and product identity

Stable programme, statistical activity and product identities.

Programme, product identifiers and scope

Governs stable identifiers, names, statistical domain, purpose, scope and relationships among programmes, activities and products.

What is the current governed value or definition for programme, product identifiers and scope, for which statistical product, population, domain and reference period? identity
Which authority, source, method and processing version establish programme, product identifiers and scope, with what quality, uncertainty and provenance? provenance
Which validation, confidentiality, access or revision rule governs programme, product identifiers and scope, and how is prior history preserved? validation

Stakeholders, needs, uses and fitness

Captures intended users, decisions, use cases, required timeliness and fitness limitations without promising every secondary use.

What is the current governed value or definition for stakeholders, needs, uses and fitness, for which statistical product, population, domain and reference period? composition
Which authority, source, method and processing version establish stakeholders, needs, uses and fitness, with what quality, uncertainty and provenance? authority
Which validation, confidentiality, access or revision rule governs stakeholders, needs, uses and fitness, and how is prior history preserved? privacy

Concepts, populations and structures Defines what is measured, for whom and under which multidimensional structure.

Concept, measure and unit

Conceptual definition, indicator formula and unit semantics.

Statistical concept, definition and variant

Versioned concept definition, inclusions, exclusions, synonyms and operational variants used by the product.

What is the current governed value or definition for statistical concept, definition and variant, for which statistical product, population, domain and reference period? definition
Which authority, source, method and processing version establish statistical concept, definition and variant, with what quality, uncertainty and provenance? requirement
Which validation, confidentiality, access or revision rule governs statistical concept, definition and variant, and how is prior history preserved? access

Measure, indicator, formula, unit and direction

Defines numerator, denominator, aggregation, scale, unit, sign and interpretation of change for a measure or indicator.

What is the current governed value or definition for measure, indicator, formula, unit and direction, for which statistical product, population, domain and reference period? measurement
Which authority, source, method and processing version establish measure, indicator, formula, unit and direction, with what quality, uncertainty and provenance? process
Which validation, confidentiality, access or revision rule governs measure, indicator, formula, unit and direction, and how is prior history preserved? interoperability

Population, frame and domain

Target and observed universes, statistical units and subpopulations.

Target and observed population and statistical unit

Defines the target universe, observed population, unit type, eligibility, coverage and differences between intended and observed scope.

What is the current governed value or definition for target and observed population and statistical unit, for which statistical product, population, domain and reference period? classification
Which authority, source, method and processing version establish target and observed population and statistical unit, with what quality, uncertainty and provenance? measurement
Which validation, confidentiality, access or revision rule governs target and observed population and statistical unit, and how is prior history preserved? retention

Frame, domain, sample and coverage

Links the frame, sample design, reporting domain, exclusions, undercoverage, overcoverage and effective population.

What is the current governed value or definition for frame, domain, sample and coverage, for which statistical product, population, domain and reference period? composition
Which authority, source, method and processing version establish frame, domain, sample and coverage, with what quality, uncertainty and provenance? quality
Which validation, confidentiality, access or revision rule governs frame, domain, sample and coverage, and how is prior history preserved? identity

Data structure and classifications

Dimensions, attributes, codelists and structural constraints.

Data structure, dimensions, measures and attributes

Defines the cube or table structure, series keys, observation dimensions, measures, attributes and attachment levels.

What is the current governed value or definition for data structure, dimensions, measures and attributes, for which statistical product, population, domain and reference period? composition
Which authority, source, method and processing version establish data structure, dimensions, measures and attributes, with what quality, uncertainty and provenance? validation
Which validation, confidentiality, access or revision rule governs data structure, dimensions, measures and attributes, and how is prior history preserved? definition

Classifications, codelists, hierarchies and crosswalks

Pins classification versions, code validity, hierarchies, correspondence tables and loss in mapping between schemes.

What is the current governed value or definition for classifications, codelists, hierarchies and crosswalks, for which statistical product, population, domain and reference period? interoperability
Which authority, source, method and processing version establish classifications, codelists, hierarchies and crosswalks, with what quality, uncertainty and provenance? privacy
Which validation, confidentiality, access or revision rule governs classifications, codelists, hierarchies and crosswalks, and how is prior history preserved? classification

Sources and collection Describes how input data are acquired and which limitations follow.

Source register and provenance

Typed input sources and provider agreements.

Source type, provider, purpose and authority

Registers census, survey, administrative, transactional, geospatial or other source references with provider, original purpose and authority.

What is the current governed value or definition for source type, provider, purpose and authority, for which statistical product, population, domain and reference period? provenance
Which authority, source, method and processing version establish source type, provider, purpose and authority, with what quality, uncertainty and provenance? access
Which validation, confidentiality, access or revision rule governs source type, provider, purpose and authority, and how is prior history preserved? composition

Acquisition agreement, lineage and ingestion

Captures transfer terms, delivery, ingestion, transformations, checksums and lineage from an external source without importing its master records.

What is the current governed value or definition for acquisition agreement, lineage and ingestion, for which statistical product, population, domain and reference period? relationship
Which authority, source, method and processing version establish acquisition agreement, lineage and ingestion, with what quality, uncertainty and provenance? interoperability
Which validation, confidentiality, access or revision rule governs acquisition agreement, lineage and ingestion, and how is prior history preserved? relationship

Collection design and execution

Instrument, sample, response and fieldwork evidence.

Instrument, question, variable and collection mode

Links instrument versions, questions, variables, routing, collection mode, measurement protocol and language.

What is the current governed value or definition for instrument, question, variable and collection mode, for which statistical product, population, domain and reference period? process
Which authority, source, method and processing version establish instrument, question, variable and collection mode, with what quality, uncertainty and provenance? retention
Which validation, confidentiality, access or revision rule governs instrument, question, variable and collection mode, and how is prior history preserved? state

Response, coverage, nonresponse and timeliness

Summarizes response, nonresponse, paradata, coverage errors, cut-off times and collection limitations at safe aggregation.

What is the current governed value or definition for response, coverage, nonresponse and timeliness, for which statistical product, population, domain and reference period? quality
Which authority, source, method and processing version establish response, coverage, nonresponse and timeliness, with what quality, uncertainty and provenance? identity
Which validation, confidentiality, access or revision rule governs response, coverage, nonresponse and timeliness, and how is prior history preserved? temporal

Processing, estimation and quality Makes transformations, estimates, uncertainty and fitness evidence explicit.

Editing, validation and imputation

Rules and actions that turn inputs into consistent analytical data.

Editing, validation rules and exceptions

Pins rule sets, failed checks, human or automated decisions, overrides and retained exceptions.

What is the current governed value or definition for editing, validation rules and exceptions, for which statistical product, population, domain and reference period? validation
Which authority, source, method and processing version establish editing, validation rules and exceptions, with what quality, uncertainty and provenance? definition
Which validation, confidentiality, access or revision rule governs editing, validation rules and exceptions, and how is prior history preserved? provenance

Imputation, derivation, integration and transformation

Records algorithms, donor or model basis, linked sources, derived variables, parameters and transformation lineage.

What is the current governed value or definition for imputation, derivation, integration and transformation, for which statistical product, population, domain and reference period? process
Which authority, source, method and processing version establish imputation, derivation, integration and transformation, with what quality, uncertainty and provenance? classification
Which validation, confidentiality, access or revision rule governs imputation, derivation, integration and transformation, and how is prior history preserved? authority

Weighting, estimation and adjustment

Estimation design, weights and model-based adjustments.

Weights, estimator, calibration and benchmarking

Defines design weights, nonresponse adjustment, calibration controls, estimator, benchmarking constraints and effective versions.

What is the current governed value or definition for weights, estimator, calibration and benchmarking, for which statistical product, population, domain and reference period? measurement
Which authority, source, method and processing version establish weights, estimator, calibration and benchmarking, with what quality, uncertainty and provenance? composition
Which validation, confidentiality, access or revision rule governs weights, estimator, calibration and benchmarking, and how is prior history preserved? requirement

Seasonal, price, volume and model adjustment

Distinguishes raw and adjusted series and pins decomposition, deflation, chain-linking or other model versions and diagnostics.

What is the current governed value or definition for seasonal, price, volume and model adjustment, for which statistical product, population, domain and reference period? process
Which authority, source, method and processing version establish seasonal, price, volume and model adjustment, with what quality, uncertainty and provenance? relationship
Which validation, confidentiality, access or revision rule governs seasonal, price, volume and model adjustment, and how is prior history preserved? process

Uncertainty, quality and comparability

Quality dimensions, uncertainty and breaks in interpretation.

Sampling, nonsampling and model uncertainty

Represents standard errors, intervals, variance methods, bias risks, model uncertainty and confidence limitations.

What is the current governed value or definition for sampling, nonsampling and model uncertainty, for which statistical product, population, domain and reference period? identity
Which authority, source, method and processing version establish sampling, nonsampling and model uncertainty, with what quality, uncertainty and provenance? state
Which validation, confidentiality, access or revision rule governs sampling, nonsampling and model uncertainty, and how is prior history preserved? measurement

Relevance, accuracy, timeliness, coherence and comparability

Records quality assessments, metrics, scope, assessor, evidence, time, limitations and comparability breaks.

What is the current governed value or definition for relevance, accuracy, timeliness, coherence and comparability, for which statistical product, population, domain and reference period? quality
Which authority, source, method and processing version establish relevance, accuracy, timeliness, coherence and comparability, with what quality, uncertainty and provenance? temporal
Which validation, confidentiality, access or revision rule governs relevance, accuracy, timeliness, coherence and comparability, and how is prior history preserved? quality

Series, observations and vintages Represents governed statistical values and their time-bound publication states.

Series identity and reference time

Series keys, frequency, coverage and temporal semantics.

Series key, frequency, unit and domain

Governs the complete series key, dimensions, frequency, unit, scaling, territory or population and structural validity.

What is the current governed value or definition for series key, frequency, unit and domain, for which statistical product, population, domain and reference period? identity
Which authority, source, method and processing version establish series key, frequency, unit and domain, with what quality, uncertainty and provenance? provenance
Which validation, confidentiality, access or revision rule governs series key, frequency, unit and domain, and how is prior history preserved? validation

Reference period, calendar and temporal coverage

Separates reference period from collection, processing, release and ingestion times and identifies calendar conventions and coverage.

What is the current governed value or definition for reference period, calendar and temporal coverage, for which statistical product, population, domain and reference period? temporal
Which authority, source, method and processing version establish reference period, calendar and temporal coverage, with what quality, uncertainty and provenance? authority
Which validation, confidentiality, access or revision rule governs reference period, calendar and temporal coverage, and how is prior history preserved? privacy

Observation value and vintage

Value, status, confidentiality and version lineage.

Observation value, status, unit and flags

Stores value or explicit missing state, unit, decimals, estimation and adjustment status, confidentiality flags and explanatory annotations.

What is the current governed value or definition for observation value, status, unit and flags, for which statistical product, population, domain and reference period? state
Which authority, source, method and processing version establish observation value, status, unit and flags, with what quality, uncertainty and provenance? requirement
Which validation, confidentiality, access or revision rule governs observation value, status, unit and flags, and how is prior history preserved? access

Vintage, release state and immutable lineage

Distinguishes provisional, estimated, revised, corrected and final states with predecessor, reason, actor and publication time.

What is the current governed value or definition for vintage, release state and immutable lineage, for which statistical product, population, domain and reference period? state
Which authority, source, method and processing version establish vintage, release state and immutable lineage, with what quality, uncertainty and provenance? process
Which validation, confidentiality, access or revision rule governs vintage, release state and immutable lineage, and how is prior history preserved? interoperability

Revision, release and dissemination Controls how statistical products change and become public.

Revision and series continuity

Routine, major, unscheduled and corrective changes.

Revision policy, schedule, reason and impact

Declares routine, major and unscheduled revision rules and records reason, scope, magnitude, users affected and communication.

What is the current governed value or definition for revision policy, schedule, reason and impact, for which statistical product, population, domain and reference period? temporal
Which authority, source, method and processing version establish revision policy, schedule, reason and impact, with what quality, uncertainty and provenance? measurement
Which validation, confidentiality, access or revision rule governs revision policy, schedule, reason and impact, and how is prior history preserved? retention

Break, correction, backcast and discontinuation

Represents methodological breaks, error corrections, backcasts, replacement series and discontinuation without silent overwrite.

What is the current governed value or definition for break, correction, backcast and discontinuation, for which statistical product, population, domain and reference period? provenance
Which authority, source, method and processing version establish break, correction, backcast and discontinuation, with what quality, uncertainty and provenance? quality
Which validation, confidentiality, access or revision rule governs break, correction, backcast and discontinuation, and how is prior history preserved? identity

Release and distribution

Calendars, embargo, publication and machine projections.

Release calendar, embargo and equal access

Records scheduled release, deviations, embargo, authorized pre-release, public release time and equal-access evidence.

What is the current governed value or definition for release calendar, embargo and equal access, for which statistical product, population, domain and reference period? access
Which authority, source, method and processing version establish release calendar, embargo and equal access, with what quality, uncertainty and provenance? validation
Which validation, confidentiality, access or revision rule governs release calendar, embargo and equal access, and how is prior history preserved? definition

Dataset, table, API, chart and publication projection

Binds digest-pinned distribution artifacts and APIs to a product vintage and records filters, transformations, rounding and information loss.

What is the current governed value or definition for dataset, table, api, chart and publication projection, for which statistical product, population, domain and reference period? interoperability
Which authority, source, method and processing version establish dataset, table, api, chart and publication projection, with what quality, uncertainty and provenance? privacy
Which validation, confidentiality, access or revision rule governs dataset, table, api, chart and publication projection, and how is prior history preserved? classification

Confidentiality, provenance and federation Protects statistical units and supports governed reuse across systems.

Confidentiality and controlled access

Disclosure risk, suppression, access and retention.

Microdata, small cell and disclosure risk

Classifies direct and indirect identification risk, small cells, dominance and linked-data risk before any projection.

What is the current governed value or definition for microdata, small cell and disclosure risk, for which statistical product, population, domain and reference period? privacy
Which authority, source, method and processing version establish microdata, small cell and disclosure risk, with what quality, uncertainty and provenance? access
Which validation, confidentiality, access or revision rule governs microdata, small cell and disclosure risk, and how is prior history preserved? composition

Suppression, perturbation, access and retention

Records disclosure-control method, affected values, utility loss, authorized purpose, environment, expiry, retention and audit obligations.

What is the current governed value or definition for suppression, perturbation, access and retention, for which statistical product, population, domain and reference period? measurement
Which authority, source, method and processing version establish suppression, perturbation, access and retention, with what quality, uncertainty and provenance? interoperability
Which validation, confidentiality, access or revision rule governs suppression, perturbation, access and retention, and how is prior history preserved? relationship

Provenance and standard mappings

End-to-end lineage and syntax-neutral interoperability.

Entity, activity, agent, derivation and attribution

Links inputs, processing activities, agents, methods, software, outputs, revisions and responsibility across the lifecycle.

What is the current governed value or definition for entity, activity, agent, derivation and attribution, for which statistical product, population, domain and reference period? provenance
Which authority, source, method and processing version establish entity, activity, agent, derivation and attribution, with what quality, uncertainty and provenance? retention
Which validation, confidentiality, access or revision rule governs entity, activity, agent, derivation and attribution, and how is prior history preserved? state

SDMX, DDI and GSBPM crosswalk, version and loss

Pins source and target versions, maps concepts and lifecycle stages, validates exchange and declares omissions or non-round-trippable meaning.

What is the current governed value or definition for sdmx, ddi and gsbpm crosswalk, version and loss, for which statistical product, population, domain and reference period? interoperability
Which authority, source, method and processing version establish sdmx, ddi and gsbpm crosswalk, version and loss, with what quality, uncertainty and provenance? identity
Which validation, confidentiality, access or revision rule governs sdmx, ddi and gsbpm crosswalk, version and loss, and how is prior history preserved? temporal

Classifiers Filled

Family: World Models
Category: Information and virtual systems
Entry kind: aggregate
Navigation path: NAV.INF.DAT.STA
Domain: INF.DAT.STA
Industry: Cross-industry
Tags: officialstatisticsinf.dat.sta
Also called: N10

What it is Filled

Owns official programme and product identity, authority and public-purpose claims, statistical concepts and structures, source and method bindings, series and observation vintages, quality and uncertainty evidence, revision lineage, release control and disclosure decisions while referencing respondent, operational source, generic dataset, geography, party, document and policy masters.

In scope

Official-statistics governance, programme and product identity, concepts, populations, frames, structures and classifications
Collection and source metadata, processing, imputation, weighting, estimation, adjustments, quality, uncertainty and comparability
Series, observations, vintages, revisions, releases, dissemination projections, confidentiality, provenance and standard mappings

Out of scope

Respondent or statistical-unit identity and raw microdata payloads, operational administrative records, survey fieldwork systems and transactional source masters
Generic dataset and file-distribution lifecycle, geography and time registries, party identity, legislation, policy documents and publication-channel content
Universal domain indicator catalogues, legal mandates, disclosure thresholds, sampling designs or estimation methods

Why it exists Filled

Distinguishing features Filled

Statistics produced under a public mandate with documented methods, quality and release rules.
Each observation keeps its vintage, so revisions never overwrite what was published earlier.
Differs from a generic dataset by its authority, public-purpose claim and disclosure control.
References respondent and source records but never exposes microdata.

What robots and AI may and may not do Filled

Must not

Access or release statistics before the official release time.
Attempt to re-identify respondents from published tables.
Present an estimate without its stated uncertainty or provisional status.
Mix vintages without saying so.
Describe unofficial figures as official statistics.

Only with a human decision

Approving a release or revision.
Granting access to confidential microdata for research.
Changing a published method or classification.

May

Retrieve published series with their vintage, unit and method notes.
Explain concepts, classifications and quality indicators to users.
Report a suspected error to the producing agency.
Compare vintages to show revision history.

Moral aspects Filled

Respondents provide data on a promise of confidentiality that must be kept.
Professional independence protects statistics from political pressure.
Groups that are poorly counted become invisible in policy.

Who is affected

Respondents, persons and businesses
Public users and policy makers
Statistical agencies and their staff

Owners Filled

Steward

Declare the Dimension owner, official-statistics authority, delegates, semantic stewards and disclosure-control authority.

Roles

Dimension owner: Own namespace, mastership, delegation, access, retention and federation rules.
Statistical authority: Own official programme mandate, independence, release authority and accountability.
Methodologist or semantic steward: Govern concepts, populations, classifications, structures, methods and comparability.
Statistical producer: Collect, process, estimate and document data under approved methods.
Quality reviewer: Assess uncertainty, quality, fitness, breaks and revision impact independently.
Disclosure-control authority: Approve microdata and aggregate disclosure decisions and controlled access.
Release manager: Control calendars, embargo, equal access, publication and corrections.
Auditor: Review authority, transformations, revisions and disclosures without rewriting evidence.

Links to other meta-models Filled

references

Dataset and Data Register - Binds logical product vintages to packaged datasets and distributions without delegating statistical meaning to files.
Person, Organization and Statistical Unit models - Binds accountable authorities, producers and unit types while their identities remain externally governed.
Geography and Time registries - Resolves territorial scope, calendars and periods used in dimensions and observations.
Administrative, Survey and Other Source models - Preserves external source mastership while recording statistical acquisition and transformation lineage.
Report, Publication and Visualization models - Connects release artifacts to immutable product vintages without treating renderings as master observations.

aligned

SDMX 3.1 - Supports syntax-neutral structures, statistical data, metadata, registries and APIs with pinned mappings.
DDI Lifecycle 3.3 - Supports concepts, studies, instruments, variables, processing and archival metadata with pinned mappings.
GSBPM 5.2 - Maps product lifecycle activities to a standard statistical production process without making process stages data identities.

neighbor

Dataset and Data Register - Official Statistics owns semantic product, series, observation and vintage meaning; a generic dataset owns a packaged collection or distribution and may project one or more product vintages.
Person, Organization and Statistical Unit - This model references authorities, producers, respondents and statistical units but does not absorb their identities or operational lifecycles.
Administrative, transactional and scientific source records - The statistical product owns source bindings and transformations while source systems retain original records, purposes, corrections and access authority.
Geography and Time registries - Territories, calendars and periods are governed external references; the product owns only their role in scope, series keys and observations.
Report, Publication and Visualization - A release may render tables, charts or prose, but those artifacts do not replace the structured observation vintage or its provenance.
Law, Policy and Classification models - Mandates, policies and classification schemes retain external authority; this model pins the versions applied to each product and records their effects.

What else AI and robots need to interact with it Filled

Sources Filled

Fundamental Principles of Official Statistics - United Nations Statistics Division
United Nations National Quality Assurance Frameworks Manual for Official Statistics - United Nations Statistics Division
Generic Statistical Business Process Model version 5.2 - United Nations Economic Commission for Europe
SDMX Technical Specifications - SDMX Sponsors
DDI Lifecycle - DDI Alliance
Quality Assurance Framework of the European Statistical System - Eurostat
Statistical confidentiality - Eurostat
Data revision policy - Eurostat
PROV-O: The PROV Ontology - World Wide Web Consortium
RFC 3339: Date and Time on the Internet: Timestamps - Internet Engineering Task Force

Open questions

Validate the base against population, economic, price, labor, health, environment, trade, education and national-accounts profiles.
Develop jurisdiction-specific authority, quality, confidentiality, pre-release access, revision and retention recipes.
Create certified SDMX 3.1 and DDI Lifecycle 3.3 crosswalks with validation fixtures, transformation lineage and declared information loss.
Approve sibling model identifiers and relation cardinalities for datasets, statistical units, sources, geography, time, classifications, publications, laws and policies.
Domain-specific concepts, indicators, classifications, sampling designs, estimators and legal mandates require separate profiles.
Respondent-level microdata, administrative records, generic dataset packaging, geography and publication-channel lifecycles remain in neighboring models.
Certified SDMX 3.1 and DDI 3.3 crosswalks, conformance suites and jurisdictional disclosure profiles remain future work.

Machine files

Card as JSON Specification AGENTS.md Source Card backlog vercy.card/1

Provenance

world-models research · reviewable-draft

Built from: models/wm-dat-002-official-statistics/spec.yaml, ver-cy/world-models/card-supplements/wm-dat-002-official-statistics.json