Japan e-Stat Automobile Production and Sales Statistics

Datadory delivers Japan e-Stat automobile production and sales statistics data: the official portal's automobile-matched holdings of 295,229 datasets across 56 statistics families from METI, MLIT, the Ministry of Finance and other agencies. You get field dictionaries, sample rows and coverage for production, shipment, transport, ownership and export series, delivered as files or a feed on your schedule.

Sample rows

A taste of how records surface once the collection is shaped into rows:

survey_family                    | geography   | frequency | measure
---------------------------------|-------------|-----------|-----------------------------
Machinery Orders Survey (METI)   | Japan       | monthly   | orders value, cat01 dimension
Automobile Transport Statistics  | prefecture  | survey    | tonne-kilometres by freight type
Motor Vehicles Owned (MLIT)      | prefecture  | periodic  | vehicles owned by vehicle type
Trade Statistics (Ministry of F.)| Japan       | monthly   | export value, HS vehicle codes
Production Dynamic Statistics    | Japan       | monthly   | units produced, shipments

Column layouts differ per survey — each table ships with its own dimension definitions (the cat01–catXX metadata), so nothing arrives unlabeled.

What fields does the Japan e-Stat automobile collection include?

Every table carries a government statistics code identifying its parent survey, the survey name, categorical dimensions defined per table, and one value cell per dimension combination. Because each ministry structures its own tables, the dictionary below covers the spine that repeats across the collection.

Fields marked uncertain are folded under additional fields on request — ask and we will confirm the exact column layout for the specific tables you need before you commit to anything.

What does the collection cover?

Geographically it spans Japan at national and prefecture levels depending on the survey. Temporally it stretches across decades of official reporting, with monthly production and shipment tables sitting beside periodic prefecture-level transport and ownership counts. Granularity is survey-specific: monthly production and shipment tables, prefecture-level transport and ownership tables, and trade tables tracking vehicle exports. At the August 2026 review, the automobile keyword search matched 56 statistics families and 295,229 datasets — portal-wide holdings run larger still.

Which ministries supply the automobile tables?

Three publishers dominate. METI contributes the machinery and production dynamic statistics families — three statistics families of automotive relevance in the portal. MLIT contributes the transport-side surveys, including the Automobile Transport Statistics Survey (自動車輸送統計調査) and Motor Vehicles Owned (自動車保有車両数). The Ministry of Finance supplies trade statistics covering vehicle exports. The Cabinet Office, National Police Agency and Ministry of Internal Affairs and Communications round out the publisher list. JAMA, the industry association, is absent by design: it is a private body, not a government publisher, so its headline production numbers live outside this portal.

Who uses this data?

Market-entry teams sizing Japan against domestic sales signals use the production and shipment series to separate output growth from registration churn. Supply-chain planners track prefecture-level vehicle ownership to model fleet age and replacement demand. Economists and trade analysts pair METI production tables with Ministry of Finance export series to follow how much Japanese output leaves the country. Competitive-intel product teams benchmark the same tables against OICA world production figures and ACEA European registrations to position Japan inside a global volume picture.

Why get this through Datadory instead of assembling it yourself?

The raw collection is a maze of 56 statistics families, each with its own survey code, dimension naming and file layout. Datadory does the shaping once: consistent field names, documented dimensions, sample rows you can inspect before buying, and coverage chips that tell you exactly what geography and time depth you are getting. Then we deliver it your way — API, files, or straight into your warehouse, refreshed daily, weekly, or hourly as your use case demands.

Questions buyers ask

What is in the Japan e-Stat automobile dataset collection?

An automobile keyword search across the e-Stat portal matched 56 statistics families covering 295,229 datasets from the Cabinet Office, National Police Agency, MIC, Ministry of Finance, METI and MLIT. Automotive-relevant series include METI machinery production tables, MLIT transport and ownership surveys, and Ministry of Finance trade statistics covering vehicle exports.

Does e-Stat include JAMA production figures?

No. JAMA is a private industry association rather than a government publisher, so its production and shipment figures are not on the portal. The official equivalents come from METI's machinery statistics families and MLIT's Automobile Transport Statistics Survey and Motor Vehicles Owned counts.

How far back and how granular does the coverage go?

It depends on the survey. Production and trade tables report monthly at national level, while transport and ownership surveys run periodically at prefecture level. The automobile keyword match alone reached 295,229 datasets across 56 statistics families, so time depth varies by table rather than by collection.

Can I get a sample before committing?

Yes. Request a sample of this dataset and you will receive real rows drawn from the collection plus the full field dictionary, so you can verify column meanings and value formats against your own use case before any delivery arrangement is set.

How fresh is the data feed?

Delivery cadence is your call: Datadory can refresh this collection daily, weekly, or hourly depending on how current your models need it. The underlying surveys themselves publish on their own ministry schedules, which we normalize so your downstream jobs never wait on a release calendar.

How does this compare to other Japan automotive data sources?

This is the official statistical record — ministry-run surveys with consistent methodology. Commercial trackers such as GoodCarBadCar focus on sales registrations, while OICA aggregates world production at country level. For Japan specifically, the e-Stat collection goes deepest on transport, ownership and export structure.

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

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