Layer catalogue

Overview

Residential/commercial/industrial zones under City Planning Act. Foundation for building coverage ratio, FAR, and use restrictions. Covers all 47 prefectures (as of Sept 2026). Essential for land acquisition and design.

Data source

KSJ A29 / City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Areas requiring fire-resistant construction. Directly impacts material choice and building cost.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Promotion = developable, Control = generally non-developable. Critical for development feasibility.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Planned roads under city planning. Affects land acquisition and frontage valuation.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Maximum/minimum building height restriction zones. Distinguishes tower districts vs low-rise residential.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Planned or completed urban parks. Environmental value for location assessment.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Areas with district-specific building rules: design restrictions, setbacks, etc.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

A district designated to preserve the natural scenery of urban areas. Building height, coverage, wall setback, and exterior color may be restricted. Reference only; confirm official restrictions with the municipal planning division.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Districts that add to (or relax) the base use-zone to restrict or guide specific building uses (e.g. education, special industry). Check for extra rules beyond the base use zone.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

In non-zoned (white) areas without use zones, restricts specific building uses to protect the surrounding environment. Useful for land-use decisions outside urbanization-control areas.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Promotes intensive land use by setting minimum floor-area ratio, maximum building coverage, minimum building area, and wall positions. For redevelopment feasibility (distinct from Height Districts).

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

A district designated under the Urban Green Space Conservation Act to preserve favorable natural environments in urban areas. Permits may be required for new construction, land development, or tree felling. Reference only; confirm official restrictions with the municipal planning division.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Districts undergoing land readjustment projects (City Planning Act Art. 12(1)(i)) that develop roads, parks, and other public facilities while improving land utility. May affect property rights through replotting, temporary replotting, or reserved land designation. May include already-completed districts; completion-date reporting accuracy varies by municipality. Reference only; confirm current status and rights with the municipal planning division.

Data source

City Planning Decision GIS Data - National Data Download Page (MLIT)

Overview

Areas the city wants to guide residential / urban functions to. Development-recommended zones. Covers 45 prefectures as of Sept 2026. Note: Tottori and Okinawa are not included (source data not yet published); municipalities that have not adopted a plan have no zone data.

Data source

KSJ A55

Overview

Urban areas with population density ≥4000/km². Affects coverage ratio relaxation and drone flight rules.

Data source

KSJ A16

Overview

Designated under Depopulation Special Measures Act. Subject to subsidies and tax breaks.

Data source

KSJ A17

Overview

Subject to Agricultural Promotion Plan. Conversion requires Agricultural Committee approval. Critical for land acquisition.

Data source

KSJ A12

Overview

Sub-compartment parcels of National Forests managed by the Forestry Agency (~972,000 records, all 47 prefectures as of Sept 2026). Generally not available for purchase or development; boundary confirmation for adjacent land is handled by the District Forest Office. For neighboring properties, it can also be a stabilizing factor since future development is unlikely. Useful for excluding land from acquisition targets, checking adjacent-parcel risk in collateral appraisal, and confirming surroundings before purchasing forest or vacation land. Unlike the reference-grade subdivision in the Forest Zone layer, this is the Forestry Agency's authoritative source (as of April 2024). Source: Forestry Agency, National Forest GIS Data (FY2024)

Data source

Forestry Agency, National Forest GIS Data (FY2024)

Overview

Forest roads within National Forests (management access roads; ~58,000 records, 46 prefectures as of Sept 2026 — Okinawa has no forest-road records in the source). General vehicle access may be restricted. Use alongside the National Forest (Sub-compartments) layer to gauge site-access routes. Source: Forestry Agency, National Forest GIS Data (FY2024)

Data source

Forestry Agency, National Forest GIS Data (FY2024)

Overview

Regulation zones designated under the Fill Regulation Act (in force May 2023). Within these zones, fills, cuts or soil stockpiling above a certain scale require prior permit/notification — useful for judging land-development feasibility. Three types: residential-land development regulation area (inhabited areas), specified-fill regulation area (slopes that could endanger homes), and unknown (indeterminable from source). Coverage: 43 prefectures nationwide (Aomori, Kagawa, Saga and Okinawa are not published by National Land Numerical Information). FY2025 edition. Note: in Kyushu's mountainous terrain, specified-fill regulation areas (red) cover more total area than residential-land development areas (amber), especially in Kumamoto, Oita, Miyazaki and Kagoshima — only Fukuoka is dominated by the latter.

Data source

National Land Numerical Information (Fill Regulation Zones), MLIT

Overview

Existing residential land previously created by filling valleys or slopes. Distinct from fill-regulation zones — it shows the ground risk of existing filled land (potential for seismic slide-collapse; damage was confirmed in the Kumamoto earthquake). Useful for build-feasibility and ground-improvement cost estimates. Two types: valley-fill (filling valleys/ravines) and slope-fill (fill added onto a slope). Coverage: all 47 prefectures nationwide (52,526 records). 2023 edition.

Data source

National Land Numerical Information (Large-scale Filled Land), MLIT

Overview

The overall boundary of a National Park, Quasi-National Park, or Prefectural Natural Park designated under the Natural Parks Act. Within this boundary, land is further classified as Special Area, Special Protection District, or Ordinary Area (this layer alone does not show that classification — see the separate layers). Warning: based on National Land Numerical Information (Natural Park Areas, FY2015 edition). Covers 46 of the 47 prefectures (Okayama is excluded because its records are licensed non-commercial only); more than half of the source records (61.6%) date to 2002, and "FY2015 edition" refers to the release year, not data freshness. Confirm current designation status with the prefecture or the Ministry of the Environment regional office.

Data source

Processed from National Land Numerical Information "Natural Park Areas" (MLIT, CC BY 4.0)

Overview

A Special Area under Natural Parks Act Art. 20-3. Activities such as new construction, tree felling, and mineral extraction listed in that article require a permit (from the Minister of the Environment for National Parks, or the prefectural governor for Quasi-National Parks). This is a mandatory disclosure item under Real Estate Brokerage Act Enforcement Order Art. 3-1-31. Covers 46 of the 47 prefectures (Okayama excluded). Warning: same data precision/vintage caveats as the "Natural Park Area (Boundary)" layer. Confirm applicability and permit requirements with the prefecture or the Ministry of the Environment regional office.

Data source

Processed from National Land Numerical Information "Natural Park Areas" (MLIT, CC BY 4.0)

Overview

A Special Protection District under Natural Parks Act Art. 21-3 — the most strictly regulated classification within a park, where an even broader range of activities (including collecting plants/animals and setting fires) requires a permit than in a Special Area. This is a mandatory disclosure item under Real Estate Brokerage Act Enforcement Order Art. 3-1-31. Covers 46 of the 47 prefectures (Okayama excluded). Warning: same data precision/vintage caveats as the "Natural Park Area (Boundary)" layer. Confirm applicability and permit requirements with the prefecture or the Ministry of the Environment regional office.

Data source

Processed from National Land Numerical Information "Natural Park Areas" (MLIT, CC BY 4.0)

Overview

The Ordinary Area under Natural Parks Act Art. 33-1 is defined as "the area not included in the Special Area or the Marine Park District." Notification (not a permit) is required for new structures etc. above a certain size. This is a mandatory disclosure item under Real Estate Brokerage Act Enforcement Order Art. 3-1-31. Important: this layer is a MAPRISE-derived reference computed by subtracting the Special Area from the Natural Park Area boundary and clipping to land using administrative boundaries — it is not a polygon from the original source. Marine Park District data (Art. 22-3) is unavailable and therefore not accounted for, so in parks that include marine areas this layer may show a larger area than the actual Ordinary Area. Confirm the exact zoning with the prefecture or the Ministry of the Environment regional office.

Data source

Derived by Vulcanz LLC from National Land Numerical Information "Natural Park Areas" (MLIT, CC BY 4.0)

Overview

Shows "known buried cultural property sites" (kofun, castle remains, settlement remains, etc.) where earthwork requires notifying the Board of Education at least 60 days before starting (Cultural Properties Protection Act Art. 93). This is a mandatory disclosure item under Real Estate Brokerage Act Enforcement Order Art. 3-1-52. Warning: no nationwide dataset covers this theme. This layer covers only the areas where commercially usable open data was found (7 prefectures + 7 municipalities, 62,000+ records total). See the data sources page for exactly which municipalities are covered. Warning: when zoomed out, covered municipalities are shown as a light shaded overview instead of the actual sites (zooming in switches to the individual site boundaries). The absence of a polygon elsewhere does NOT mean no site exists there — check with the municipal Board of Education (Cultural Properties Division) for areas outside this coverage.

Data source

Published data from each prefecture/municipal Board of Education (CC BY family licenses; see the data sources page for exact sources)

Overview

Zones where the national government reviews and regulates the use of land and buildings around security-critical facilities (SDF and Japan Coast Guard installations) and border islands, under the Act on the Review and Regulation of the Use of Real Estate around Important Facilities and Border Islands (in force Sept 2022). Two tiers: the less-restricted Watch Zone (blue) and the more strictly regulated Special Watch Zone (red). In a Special Watch Zone, selling, buying or leasing land/buildings of 200 sq m or more requires advance notification of the parties' names, nationality and intended use to the Cabinet Office before the contract (Art. 14). Essential for confirming transaction feasibility and procedures near bases, SDF/Coast Guard facilities, or border islands. Covers all 47 prefectures nationwide (586 records as of Sept 2026; 106 of them in the 7 Kyushu prefectures).

Data source

Cabinet Office "Important Land Web Map" (Public Data Utilization License v1.0)

Overview

Areas with confirmed soil contamination, designated by prefectural governors or ordinance-designated city mayors under the Soil Contamination Countermeasures Act. Two categories: Remediation-Required Zone (red — a health risk exists and cleanup measures are mandatory) and Notification-Required Zone for Land Form Change (orange — no immediate health risk, but prior notification is required before excavation or other land-form changes). Directly affects whether land can be transacted or developed, and remediation/ground-improvement cost estimates. Covers all 47 prefectures: of the 4,907 nationwide records in the Ministry of the Environment consolidated dataset (as of Aug 31, 2026), the 3,208 whose address could be located to the lot or block level are shown on the map. Zones located only to the town level, or not located at all, are not shown. The absence of a point does not mean there is no designated zone. Warning: points are representative locations geocoded from the published address (lot number / cho-chome level), not the exact zone shape or boundary.

Data source

Ministry of the Environment, "List of Designated Zones under the Soil Contamination Countermeasures Act" (Public Data Utilization License v1.0)

Overview

Airspace around airports and heliports where building height is restricted to keep aircraft approach and departure safe, designated under Aviation Act Art. 38, 40 and 56. Color-coded by surface type (approach, transitional, horizontal, extended approach, conical, outer horizontal, site). The allowed height varies by surface type and location. Heights shown are all above sea level; for sloped surfaces (approach, transitional, extended approach, conical) the values are the range for the whole zone, not the limit at the point you clicked. Any building, tower or antenna planned near an airport must be checked in advance with the regional Civil Aviation Bureau or airport operator. It is also a rough guide to the airport-vicinity-airspace drone restriction, but does not exactly match the regulated airspace; check the MLIT DIPS site before any drone flight. Covers all 97 official airports plus 12 public-use heliports nationwide (109 facilities, 586 polygons) as of Sept 2026.

Data source

Geospatial Information Authority of Japan, "kokuarea" layer (public notice under the Aviation Act)

Overview

Land use classification by 100m mesh (1976-2021, 9 timepoints). View changes via timeline.

Data source

KSJ L03-b

Overview

Landform classification for flood control: alluvial fans, natural levees, former river channels, back marshes. Former channels and marshes are flood-prone with soft ground.

Data source

GSI Japan

Overview

Landform classification: mountains, plateaus, lowlands, artificial landforms (fill/cut). Foundation for disaster assessment and identifying developed land.

Data source

GSI Japan

Overview

Areas around facilities designated under the Small Unmanned Aircraft Prohibition Act. The red zone is the site / premises of facilities such as the Diet, the Prime Minister's Office, the Imperial Palace, the Supreme Court, nuclear power plants, airports, defense facilities and embassies; the yellow zone is the area about 1,000 m around it. Flying small unmanned aircraft such as drones over either zone is prohibited (exceptions exist, e.g. with the consent of the facility manager or landowner, but advance notification is still required). For reference only; this is not a legal determination of whether you may fly. Airport-vicinity airspace (Civil Aeronautics Act), Densely Inhabited Districts, airspace above 150 m and emergency-use airspace are separate regulations; check MLIT's drone information site (DIPS) and other official sources. This layer is loaded directly from GSI servers (GSI Maps, other agencies) each time it is displayed. Shown at zoom level 8 and above.

Data source

National Police Agency (areas around facilities designated under the Small Unmanned Aircraft Prohibition Act) / GSI Maps (other agencies)

Overview

A reference map of ordinances and other public information on minpaku (private lodging under the Minpaku Act), color-coded by municipality (including the status of special-zone minpaku). Scope: public sources such as ordinances, official local-government pages, and national documents, researched, classified, and summarized by us. Building Standards Act, city planning, Fire Service Act, Hotel Business Act permit requirements, and condominium bylaws are generally not included. Updates: Tokyo's 23 wards and similar areas are checked monthly, others roughly quarterly; the check date is shown in each popup. Limits: ordinances may be amended after the check date. The color reflects the strictest area within the municipality, and rules can differ by location inside it. Each dot marks the approximate center of the municipality, not its boundary. This does not tell you whether minpaku is allowed; always confirm with the local authority where you would file. Ordinance names, accommodation tax, sources, and restriction details are shown on the Starter plan and above.

Data source

Ordinances and official pages of each local government (researched and processed by us) / Location: derived from the Address Base Registry (Digital Agency)

Overview

Maximum flood depth assuming 1-in-1000-year rainfall. Critical hazard for collateral valuation.

Data source

Hazard Map Portal

Overview

Flood depth in river plan scenarios (1-in-100~200-year). More realistic than max scale.

Data source

Hazard Map Portal

Overview

Duration of flooding (evacuation indicator). Long-flooded areas have high recovery cost.

Data source

Hazard Map Portal

Overview

Inundation from sewer overflow ("inland flood"). Essential for urban guerrilla rainfall planning.

Data source

Hazard Map Portal

Overview

Pluvial (inland) flood inundation areas under the Flood Control Act — flooding caused by rainfall that exceeds the drainage capacity of sewers and channels, distinct from river (fluvial) flooding. Click any area to see the assumed inundation depth (6 levels). Coverage: 28 designated pluvial-inundation municipalities across 22 prefectures nationwide; absence of data does not mean there is no risk.

Data source

National Land Numerical Information (Pluvial Inundation Areas), MLIT

Overview

Newly compiled in FY2025 within National Land Numerical Information. For nationally-managed (Class A) river systems maintained by MLIT's regional development bureaus across Japan, it shows how the inundation extent and depth change by rainfall scale (annual exceedance probability, from the frequent 1/10-yr to the maximum-assumed 1/200-yr). Scale labels such as "1/150-yr" are occurrence-probability scales, not a timeline. Coverage varies by region and rainfall scale, so changing the scale changes which systems and areas are shown. Prefecture-managed rivers (e.g. Naka/Mikasa in central Fukuoka) are not included; absence of display does not mean there is no risk. Note: Okinawa is not covered by this data. Click any area to see the river system, rainfall scale and assumed inundation depth.

Data source

National Land Numerical Information (Multi-stage Flood), FY2025, MLIT (CC BY 4.0)

Overview

Storm surge inundation by typhoons. Essential near coast.

Data source

Hazard Map Portal

Overview

Tsunami depth (Nankai Trough etc). Foundation for coastal real estate and evacuation.

Data source

Hazard Map Portal

Overview

Shows municipalities where a prefecture governor has designated a Tsunami Disaster Warning Zone (Yellow Zone) or Special Warning Zone (Orange Zone) under the Act on Special Measures for Tsunami Disaster Prevention Community Development. In a Special Warning Zone, construction of buildings without a tsunami-resistant structure may additionally be restricted (Art. 73/78/82/87). Warning: prefectures do not publish vector data with the precise zone boundary (PDF maps only), so this layer shows the municipal administrative boundary, dashed and at low opacity, as an overview meaning "a designation exists somewhere within this municipality." The actual zone covers only part of the municipality; check each prefecture's official PDF map (linked from the popup) for the exact boundary. This is a mandatory disclosure item under Real Estate Brokerage Act Enforcement Regulation Art. 16-4-3; final confirmation for a transaction requires an inquiry to the prefecture. Coverage: all 47 prefectures surveyed; every municipality with a designation is included (as of Oct 2026). Municipalities not shown had no designation at the time of survey, or the system does not apply there. Designations are added over time, so confirm the latest status with the prefecture.

Data source

Processed by Vulcanz LLC from each prefecture's published materials (designation under the Act on Special Measures for Tsunami Disaster Prevention Community Development; shown by municipal boundary)

Overview

Debris flow warning areas (yellow zone). Essential check for mountainside land.

Data source

Hazard Map Portal Site (MLIT)

Overview

Steep slope collapse warning. Essential for hillside development.

Data source

Hazard Map Portal Site (MLIT)

Overview

Landslide slip warning. For large-scale collapse risk assessment.

Data source

Hazard Map Portal Site (MLIT)

Overview

Seamless geological map (1:50k) from AIST. For ground strength and liquefaction risk.

Data source

AIST

Overview

Probability of >=6 weak shaking within 30 years. Matches earthquake insurance rates.

Data source

NIED J-SHIS

Overview

Probability of >=6 strong shaking. Building damage becomes severe.

Data source

NIED J-SHIS

Overview

Surface ground amplification factor. Same intensity may shake 2-3x more depending on ground.

Data source

NIED J-SHIS

Overview

GSI survey of active faults (surfaces that may shift again) at 1:25,000 scale (Urban Area Active Fault Maps). Areas near active faults are more likely to be the epicenter of inland earthquakes, useful for earthquake risk assessment. Background colors show landform classification: shades of orange are upper/middle/lower river terraces (darker = older), pale green is alluvial lowland. Coverage focuses on fault-dense areas; some areas are not yet surveyed.

Data source

GSI Japan

Overview

Locations of volcanoes across Japan (including the Northern Territories and submarine volcanoes), coloured as "active volcano" or "other Quaternary volcano". Active volcanoes (bright red) are those defined by JMA and the Coordinating Committee for Prediction of Volcanic Eruption as having erupted within roughly the last 10,000 years or showing vigorous fumarolic activity today; there are 111 in Japan. Other Quaternary volcanoes (dark grey) were active during the Quaternary (about 2.6 million years ago to now) but are not active volcanoes; they come from AIST "Volcanoes of Japan". This does not mean they will never erupt. The old "dormant / extinct" classification is no longer used. Click a point for its name, location, elevation, activity period and latest eruption, the eruption and disaster records compiled by AIST (in Japanese), and links to AIST, JMA (National Catalogue of the Active Volcanoes) and the Japan Coast Guard. The 51 volcanoes JMA monitors around the clock also link to JMA climber information and observation data. Note: positions are representative points such as the summit or caldera centre, not crater locations. Current eruption warnings and volcanic alert levels are not shown; always check JMA for the latest status.

Data source

Created from "Volcanoes of Japan" (Geological Survey of Japan, AIST) and the JMA lists of active and continuously monitored volcanoes

Overview

Geotechnical borehole points from the National Ground Information DB (KuniJiban) via MLIT DPF (all 47 prefectures, ~260,000 points as of Sept 2026). Click for elevation, total depth, groundwater level, survey year and soil profile. Useful for spotting soft ground and preliminary foundation studies.

Data source

MLIT National Ground Information DB (KuniJiban) / MLIT Data Platform

Overview

Designated emergency evacuation sites and shelters nationwide (~199,000). Categorized by disaster type. Recommended for property disclosure.

Data source

Designated Emergency Evacuation Sites and Shelters (GSI)

Overview

Shows the epicentre, magnitude and maximum seismic intensity of earthquakes in and around Japan, from Japan Meteorological Agency (JMA) earthquake information. The last ~30 days are loaded directly from JMA servers (refreshed when you move the map, if about a minute or more has passed since the last fetch), and the historical record (1919–2026) is shown year by year from the JMA hypocentre catalogue, processed by MAPRISE. Circle size shows magnitude and colour shows maximum seismic intensity (JMA standard colours). Click a circle for the date and time, magnitude, maximum intensity, depth and more. Use the panel under this layer in the menu (or at the top of the map): for the last 30 days you can go back in time or press play to watch earthquakes appear in order; switch to "Historical record (by year)" to move the slider in units of one year (1919–2026), or to "All history (by magnitude)" to pick magnitude ranges (M1 or less to M7+) and show the whole period together. Values for the last 30 days are preliminary JMA values and may be revised later. Epicentre positions are approximate. This is a record of past earthquakes, not a prediction of future ones. In the historical record, epicentre and magnitude accuracy is lower for older years and small events are not included. Place names are JMA's English names up to 2023 and Japanese from 2024. From 2024 the historical record comes from the JMA Seismic Intensity Database and includes only earthquakes with intensity 1 or above (small events are not included).

Data source

Created by processing earthquake information, the hypocentre catalogue and the Seismic Intensity Database from the Japan Meteorological Agency website

Overview

Bear reports (sightings, signs and human injuries) published by local governments, shown as points. Coverage: Hokkaido (Sapporo, Asahikawa, Ishikari, Muroran and Kamisunagawa), Akita, Miyagi, Yamagata (Yonezawa), Tokyo, Saitama, Yamanashi, Gifu, Mie, Kyoto (FY2009–2018), Tottori, Okayama and Yamaguchi (police) only; areas whose governments do not publish data are not shown. Blank areas do not mean there are no bears. When zoomed out, nearby reports are grouped and counted; zoom in to see each point with its date, type, place and details. Filter by period (last 12 months, last 30 days, all, or a year) and by type. Types follow the local government's classification; where none is given they are classified from the description. Some reports may not be confirmed as bears or may be slightly mislocated. Municipality names are derived from the point location. Where the same report is published by two local governments (Miyagi and Sendai, Tokyo and Yamanashi), reports on the same day at nearby locations are shown once. Locations in Yamanashi are only a rough indication. Check each local government's page for the latest information.

Data source

Created from data by Akita Prefecture ("Kumadas", CC BY 4.0), Miyagi Prefecture, the City of Sendai (CC BY 4.0), the City of Yonezawa (CC BY 4.0), the City of Sapporo (CC BY 4.0), the City of Asahikawa (CC BY 2.1), the City of Ishikari (CC BY 4.0), the City of Muroran (Public Data License 1.0), the Town of Kamisunagawa (CC BY 4.0), the Tokyo Metropolitan Government (CC BY 4.0), Saitama Prefecture (Public Data License 1.0), Yamanashi Prefecture, Gifu Prefecture (CC BY 2.1 JP), Kyoto Prefecture (CC BY 4.0), Tottori GeoMap (Tottori Prefecture), Okayama Prefecture, Mie Prefecture and Yamaguchi Prefecture (bear sightings recognized by the prefectural police, CC BY)

Overview

Bear appearance counts by prefecture from the Ministry of the Environment's preliminary figures, coloured by fiscal year (last five fiscal years, 38 prefectures (excluding Hokkaido and the eight prefectures of Kyushu and Okinawa)). Click a prefecture to see the trend by year and the monthly counts. The figures are preliminary values collected from each prefecture, and each prefecture compiles them differently (police reports, municipal information, etc.), so simple comparisons between prefectures are not appropriate. Hokkaido (does not publish counts) and the eight prefectures of Kyushu and Okinawa (outside the survey because bears do not live there) are shown in grey. Boundaries are built from census small-area boundaries.

Data source

Created from the Ministry of the Environment "Bear appearance information [preliminary figures]" (boundaries: processed from e-Stat census boundary data)

Overview

Hospitals and clinics (all 47 prefectures, ~180,000 as of Sept 2026). For medical access in location assessment.

Data source

KSJ P04

Overview

Protection facilities, child welfare, mother/child welfare facilities, community support centers (~90,000 nationwide, as of 2026). Elderly-care and disability-welfare service providers have been split into dedicated layers (Elderly Care Service Providers / Disability Welfare Service Providers). Regions where commercial use is restricted per MLIT's terms-of-use table are excluded from coverage.

Data source

KSJ P14 (FY2023 edition)

Overview

Long-term care insurance service providers nationwide (35 service types incl. home-visit care, day care, nursing homes; 223,107 records). For aging-society location assessment and care-business market research. Updated twice yearly (as of end of June 2026).

Data source

MHLW Long-Term Care Service Information Open Data (commercial use permitted)

Overview

Disability welfare service providers nationwide (29 service types incl. daily-life care, employment support, group homes; 209,452 records). For disability-welfare location assessment and provider research. Updated twice yearly (as of end of March 2026). One office number may cover multiple registered facilities (e.g. residential + day-service units) per source design.

Data source

WAM NET Disability Welfare Service Information Open Data (commercial use permitted)

Overview

Elementary/middle/high/university/kindergarten (all 47 prefectures, ~57,000 as of Sept 2026). For family-oriented location.

Data source

KSJ P29

Overview

Elementary school catchment areas (~15,800 records across about 1,633 municipalities in all 47 prefectures, as of Oct 2026). Key axis for family-oriented real estate. Click to see population trends from the national Census (2005-2020, every 5 years, actual counts) and projected population (2025-2050, estimates). Fukuoka City also shows yearly resident-register counts.

Data source

MLIT National Land Numerical Information A27 (FY2023; FY2021 edition for some municipalities missing in FY2023) / Fukuoka City: Fukuoka City Open Data (CC BY 4.0) / Akashi, Higashiosaka, Kaizuka, Sakai, Yaizu, Fukuroi, Tsubame, Himeji: estimated from each city's published address lists (CC BY etc.) joined to Census town blocks / Mito, Toyama, Shimotsuke, Sanyo-Onoda, Tsuruga, Takasago, Kihoku, Joyo, Kishiwada, Kasukabe, Tsuchiura, Tokorozawa, Soka and Kudamatsu: estimated by joining the attendance-area materials (address lists etc.) of each municipality, used after the municipality confirmed that this is acceptable, to Census town blocks (departments and dates of the replies are listed in the Data Sources page at maprise.jp) / Fujinomiya: the text of the city regulation is shown as published, after the city confirmed that this is acceptable / municipalities with a single school: whole municipality / Population: national Census 2005-2020 (actual counts, Statistics Bureau) and projected population 2025-2050 (estimates; MLIT 500 m / 250 m mesh apportioned to districts)

Overview

Junior high school catchment areas (~7,700 records across about 1,629 municipalities in all 47 prefectures, as of Oct 2026). Click to see population trends from the national Census (2005-2020, every 5 years, actual counts) and projected population (2025-2050, estimates). Fukuoka City also shows yearly resident-register counts.

Data source

MLIT National Land Numerical Information A32 (FY2023; FY2021 edition for some municipalities missing in FY2023) / Fukuoka City: Fukuoka City Open Data (CC BY 4.0) / Akashi, Higashiosaka, Kaizuka, Sakai, Yaizu, Fukuroi, Tsubame, Himeji: estimated from each city's published address lists (CC BY etc.) joined to Census town blocks / Mito, Toyama, Shimotsuke, Sanyo-Onoda, Tsuruga, Takasago, Kihoku, Joyo, Kishiwada, Kasukabe, Tsuchiura, Tokorozawa, Soka and Kudamatsu: estimated by joining the attendance-area materials (address lists etc.) of each municipality, used after the municipality confirmed that this is acceptable, to Census town blocks (departments and dates of the replies are listed in the Data Sources page at maprise.jp) / Fujinomiya: the text of the city regulation is shown as published, after the city confirmed that this is acceptable / municipalities with a single school: whole municipality / Population: national Census 2005-2020 (actual counts, Statistics Bureau) and projected population 2025-2050 (estimates; MLIT 500 m / 250 m mesh apportioned to districts)

Overview

Attendance districts for prefectural public high schools (full-time general courses) in the 18 prefectures that still use a district system, shown in colours by district: Hokkaido, Iwate, Yamagata, Fukushima, Chiba, Nagano, Aichi, Mie, Kyoto, Hyogo, Okayama, Tokushima, Kagawa, Fukuoka, Nagasaki, Kumamoto, Kagoshima and Okinawa. Prefectures with no district system, where applicants may apply to any public high school in the prefecture wherever they live (Aomori, Miyagi, Akita, Tochigi, Gunma, Saitama, Niigata, Toyama, Ishikawa, Fukui, Shizuoka, Osaka, Hiroshima, Yamaguchi, Saga, Shimane, Tokyo, Kanagawa, Yamanashi, Shiga, Wakayama, Tottori, Kochi, Gifu and Oita), are shown in grey over the whole prefecture. For Ibaraki, Nara and Miyazaki, we confirmed only that the guidelines set no restriction by area within the prefecture, so the grey is provisional. Ehime is withheld because the appendix of its regulation could not be checked against a primary source. Nagano has four districts, but its regulation lets applicants apply to schools in other districts for the time being. Tokushima plans to open the whole prefecture from the FY2029 entrance exams. Drawn from the appendix of each prefectural board of education regulation (a set of municipalities); where a regulation designates districts by junior high school area (e.g. Fukuoka City, Kurume City), junior high school district boundaries are used. Click to see the district name, area, public high schools and notes (in Japanese). Boundaries are approximate. Always check the annual admissions guidelines for who may apply and for exceptions such as out-of-district quotas.

Data source

Appendix to the "Regulation on Attendance Districts of Prefectural High Schools" and the admissions guidelines of each prefectural board of education (checked Oct 2026) / Shapes: municipal shapes built from Statistics Bureau e-Stat 2020 Census small-area boundaries; junior high school districts (processed from MLIT National Land Numerical Information A32; Fukuoka City Open Data, CC BY 4.0) where districts are designated by school / Processed by Vulcanz LLC

Overview

For 5 airports in Kyushu and Okinawa (Fukuoka (Fukuoka Airport), Kagoshima (Kagoshima Airport), Miyazaki (Miyazaki Airport), Oita (Oita Airport) and Okinawa (Naha Airport)), shows the noise abatement areas under the Act on Prevention of Aircraft Noise Disturbance around Public Airfields (Class 1: Lden 62 dB or more, Class 2: 73 dB or more, Class 3: 76 dB or more) as a reference. The area lines drawn in the "noise monitoring station location map" (PDF) published by the Civil Aviation Bureau, MLIT, were traced onto this map; they may be off from the actual lines by tens of meters or more (estimated positional error about 40 m). The purple band is near the boundary (within about 120 m), where inside or outside cannot be told. Click for the area class, what this location means, and the source. Note: the exact extent of the areas is defined by the public-inspection maps based on the official notice (at each airport office and the Osaka Regional Civil Aviation Bureau). Please contact the authorities to confirm whether a place is inside an area, or for details such as soundproofing support programs. This cannot be used as grounds for transactions, contracts, explanations of important matters or applications for such programs. A place with no area drawn does not mean it is outside an area. Some areas, such as Class 3 areas, could not be read, and Kumamoto and other airports are not included. For Oita and Naha only part of the area line is drawn on the source map, so only the vicinity of the boundary line is shown.

Data source

Produced from the "noise monitoring station location map" by the Civil Aviation Bureau, MLIT (Public Data License v1.0). The original map was made from GSI Maps (Denshi Kokudo Web).

Overview

Shows the positions of 9 noise monitoring stations at 5 airports in Kyushu and Okinawa and their latest annual Lden (calendar-year values, integers): Fukuoka (Fukuoka Airport), Kagoshima (Kagoshima Airport), Miyazaki (Miyazaki Airport), Oita (Oita Airport) and Okinawa (Naha Airport). Station positions are approximate, read from the dots on the published map. Lden is the day-evening-night equivalent sound level (a daily average weighted for evening and night). For the latest values and measurement details, see the publications of each airport office. Kumamoto and other airports are not included.

Data source

Produced from the "noise monitoring station location map" by the Civil Aviation Bureau, MLIT (Public Data License v1.0). The original map was made from GSI Maps (Denshi Kokudo Web).

Overview

For each cell of about 500 m, shows how many aircraft per day pass nearby (within 1 km, slant distance). Reference values compiled from flight tracks collected by a volunteer ADS-B receiver network on 24 days (2 per month, Oct 2025 - Sep 2026). Click a cell for flights within 1 km and 2 km, flights directly overhead, low flights (under 1,000 m above ground), the share at night (22:00-07:00), a typical low passing height and the receiver coverage. Note: receiver coverage is weak in some areas and periods; values are averaged over the days the area was received. Areas with weak coverage (e.g. around Naha) are shown as "cannot be determined" or "at least", which does not mean zero flights. Aircraft that do not transmit ADS-B (small aircraft, some helicopters, military aircraft, etc.) are not included; near Self-Defense Force or US military airfields actual overflights may be higher. This does not show noise levels or the statutory aircraft noise zones. Heights are approximate, based on elevation data that includes buildings. Sea cells within about 12 nautical miles of land (a rough guide to territorial waters) are also shown; areas farther offshore are not shown. A blank area does not mean that no aircraft pass there.

Data source

Created from flight tracks by adsb.lol contributors (ODbL 1.0), Copernicus DEM (© DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA) and EGM2008

Overview

City/town/village halls and branch offices (all 47 prefectures nationwide, 6,180 records). Replaced from non-commercial KSJ P02 with KSJ P05 in 2026, expanded nationwide at the same time.

Data source

KSJ P05 (2022 baseline)

Overview

Shinto shrines, Buddhist temples, and Christian churches nationwide (all 47 prefectures; about 92,500 as of Sept 2026). Fukuoka, Kumamoto, Hokkaido and Akita combine OpenStreetMap with each prefecture's religious-corporation roster (CC BY family license); Yamanashi uses a 2019 edition of the same roster (the current edition carries no license notice); the other 43 prefectures are OpenStreetMap only. Mosques (165 locations nationwide) were individually researched from an academic mosque list, the English Wikipedia, Arabic-language sources, and multiple community sources, as no government dataset exists. For understanding local religious and cultural context. This is reference information on area statistics and facility locations. It must not be used to screen people by nationality or religion in tenancy, sales, lending or similar decisions.

Data source

OpenStreetMap (ODbL 1.0) / Fukuoka, Kumamoto, Hokkaido, Akita & Yamanashi religious corporation rosters (CC BY family) / individual research (mosques)

Overview

Cemetery locations nationwide (34,971 (34,963 from OpenStreetMap + 8 individually researched); as of Sept 2026). Shown as position markers; names exist for only a subset of locations (~14%). The current data does not distinguish operator type (municipal, private, or temple-affiliated). 11 sites where burial (not cremation) is permitted for Muslims (researched from Wikipedia's "Islamic cemeteries in Japan" and other sources) are shown with a distinct sky-blue marker with a gold outline. This is reference information on area statistics and facility locations. It must not be used to screen people by nationality or religion in tenancy, sales, lending or similar decisions.

Data source

OpenStreetMap (ODbL 1.0) / Muslim burial sites from Wikipedia + individual research

Overview

Nationwide railway network. Basis for station-proximity valuation.

Data source

KSJ N02

Overview

Station locations + passenger counts. Core indicator for commercial location.

Data source

KSJ N02 / S12

Overview

Bus stop locations (all 47 prefectures, ~280,000 as of Sept 2026). For senior-friendly location and mobility access.

Data source

KSJ P11

Overview

Boarding+alighting passengers per station.

Data source

KSJ S12

Overview

Shows which city-gas (piped natural gas) utility serves each municipality, researched from each operator's published terms of service and service-area maps. Whether piped city gas is available directly affects the choice between city gas and propane for a detached house, and renovation cost estimates. Municipalities are shaded in three categories: service area present, unconfirmed (an operator exists), and no operator. Click for the operator name and contact details. Researched from public materials of 26 gas operators across the 7 Kyushu prefectures (of 249 municipalities: 82 with a service area, 3 unconfirmed, 164 with no operator, as of Sept 2026). Warning: many operators limit supply to specific districts within a municipality — this layer is a municipal-level overview only. Confirm exact serviceability directly with the listed operator.

Data source

Each city-gas operator's published terms of service and service-area maps (Vulcanz LLC research, as of Sept 2026)

Overview

Shows the water utility serving each municipality and its contact point (department, phone, fax, address), color-coded. Green = contact information confirmed; red = the operator is known but contact details are unconfirmed (a companion layer shows gray for municipalities where even the operator itself is unknown). For water-service start procedures when moving or building, and for identifying areas without public water supply (wells, simplified water systems, etc.). Click for the operator name, contact, and last-verified date. Warning: this beta trial covers all 47 prefectures, and the displayed area is a municipal-level administrative overview, not the actual water-service area (where pipes reach). Confirm serviceability and connection work directly with the listed operator.

Data source

Each water utility's published materials (Vulcanz LLC research; contact details updated on an ongoing basis)

Overview

AED defibrillator locations (~17,600 records across 141 local governments in 22 prefectures, as of Oct 2026). Covers only open data published by local governments whose terms of use could be confirmed, so it is not a nationwide inventory. For safety assessment of commercial/public facilities.

Data source

BODIK / Local govs

Overview

Nationally designated cultural properties. For tourism potential and landscape value.

Data source

Agency for Cultural Affairs

Overview

Locations, capacity, size class and certification year of FIT-certified solar facilities (METI; ~369,000 records, all 47 prefectures as of Sept 2026). For checking nearby mega-solar sites and neighborhood risks. Pale/hollow dots = approximate (municipal-level) locations.

Data source

METI FIT Certification Data

Overview

Mega-solar panel coverage detected by AI analysis of aerial/satellite imagery around known FIT sites. Reference estimate only — not a formal survey. Use as a guide to actual panel extent. Some shapes are site outlines from Global Renewables Watch etc., confirmed present with Sentinel-2 satellite imagery (2025–26); such sites may look like forest in older aerial photos. Detection results may differ from the latest actual conditions (installations, removals or expansions after the imagery date are not reflected). The outline shown may cover only part of a site, and the actual extent of the installation may be larger.

Data source

Input imagery: processed from GSI Tiles (Digital Japan Basic Map, Orthophoto) — Geospatial Information Authority of Japan / Detection: Vulcanz LLC AI estimate / Some site outlines: Global Renewables Watch (Microsoft, Planet, The Nature Conservancy; MIT License) and Kruitwagen et al. (2021) Nature (CC BY 4.0), confirmed present with Sentinel-2 (Copernicus)

Overview

Solar panel footprints from OpenStreetMap merged with AI (SAM) contour completion. Green = ground-mounted, blue = building-related (estimated). Classification has accuracy limits.

Data source

OpenStreetMap + Vulcanz LLC AI

Overview

Substation locations based on OpenStreetMap contributor data. Coverage: 6,192 sites nationwide. All 47 prefectures are in scope; Nagano has no matching OpenStreetMap data and shows no points. A name is recorded for 3,716 sites (60.0%). Completeness and accuracy are not guaranteed.

Data source

OpenStreetMap contributors (ODbL 1.0)

Overview

Transmission line locations based on OpenStreetMap contributor data. Line thickness represents voltage (kV). Coverage: 32,608 lines nationwide. All 47 prefectures are in scope; Wakayama has no matching OpenStreetMap data and shows no lines. Voltage is recorded for 28,244 lines (86.6%). Retrieved: 23 Sept 2026 via the Overpass API. Source: OpenStreetMap (ODbL 1.0). Completeness and accuracy are not guaranteed. Easement scope and building restrictions must be confirmed with the electric utility.

Data source

OpenStreetMap contributors (ODbL 1.0)

Overview

Locations of wind power plants. Two sources are combined; the popup shows which one each point came from. (1) Facilities certified under the FIT/FIP scheme (public data as of Aug 31, 2026; all 47 prefectures; a few facilities whose address could not be located are not included), positioned from registered addresses and therefore approximate. (2) OpenStreetMap contributor data (nationwide, about 11 sites, as of Sept 2026). FIT/FIP certifies renewable facilities, so large utility plants that predate the scheme are absent from (1); (2) fills that gap. Completeness and accuracy are not guaranteed. To avoid duplicates, points from (2) within 300 m of a point from (1) are not included.

Data source

Renewable Energy Electronic Application Site (https://www.fit-portal.go.jp/), processed by Vulcanz LLC / OpenStreetMap contributors (ODbL 1.0)

Overview

Locations of hydroelectric power plants. Two sources are combined; the popup shows which one each point came from. (1) Facilities certified under the FIT/FIP scheme (public data as of Aug 31, 2026; all 47 prefectures; a few facilities whose address could not be located are not included), positioned from registered addresses and therefore approximate. (2) OpenStreetMap contributor data (nationwide, about 651 sites, as of Sept 2026). FIT/FIP certifies renewable facilities, so large utility plants that predate the scheme are absent from (1); (2) fills that gap. Completeness and accuracy are not guaranteed. To avoid duplicates, points from (2) within 300 m of a point from (1) are not included.

Data source

Renewable Energy Electronic Application Site (https://www.fit-portal.go.jp/), processed by Vulcanz LLC / OpenStreetMap contributors (ODbL 1.0)

Overview

Locations of geothermal power plants. Two sources are combined; the popup shows which one each point came from. (1) Facilities certified under the FIT/FIP scheme (public data as of Aug 31, 2026; all 47 prefectures; a few facilities whose address could not be located are not included), positioned from registered addresses and therefore approximate. (2) OpenStreetMap contributor data (nationwide, about 13 sites, as of Sept 2026). FIT/FIP certifies renewable facilities, so large utility plants that predate the scheme are absent from (1); (2) fills that gap. Completeness and accuracy are not guaranteed. To avoid duplicates, points from (2) within 300 m of a point from (1) are not included.

Data source

Renewable Energy Electronic Application Site (https://www.fit-portal.go.jp/), processed by Vulcanz LLC / OpenStreetMap contributors (ODbL 1.0)

Overview

Locations of biomass power plants. Two sources are combined; the popup shows which one each point came from. (1) Facilities certified under the FIT/FIP scheme (public data as of Aug 31, 2026; all 47 prefectures; a few facilities whose address could not be located are not included), positioned from registered addresses and therefore approximate. (2) OpenStreetMap contributor data (nationwide, about 37 sites, as of Sept 2026). FIT/FIP certifies renewable facilities, so large utility plants that predate the scheme are absent from (1); (2) fills that gap. Completeness and accuracy are not guaranteed. To avoid duplicates, points from (2) within 300 m of a point from (1) are not included.

Data source

Renewable Energy Electronic Application Site (https://www.fit-portal.go.jp/), processed by Vulcanz LLC / OpenStreetMap contributors (ODbL 1.0)

Overview

Locations of thermal power plants based on OpenStreetMap contributor data. Coverage: 198 sites nationwide. All 47 prefectures are in scope; prefectures with no thermal plant simply have no points. Fuels: coal 79, gas 77, oil 44, diesel 3 (co-fired plants are counted more than once); 142 sites state a generation capacity. Retrieved: 23 Sept 2026 via the Overpass API. Source: OpenStreetMap (ODbL 1.0). Completeness and accuracy are not guaranteed. Useful as a starting point for checking nearby air quality, noise and vibration, fuel transport routes and redevelopment plans. Click for the name, operator, fuel and generation capacity. Capacity is shown exactly as tagged (units are not converted); check the announcements published by each operator for the current operating status.

Data source

OpenStreetMap contributors (ODbL 1.0 / https://www.openstreetmap.org/copyright)

Overview

Locations of nuclear power plants based on OpenStreetMap contributor data. Coverage: 21 sites nationwide, all 47 prefectures in scope, including 3 that have ceased operation (former Fukushima Daiichi, Fugen, Monju); 17 sites state a generation capacity. Retrieved: 23 Sept 2026 via the Overpass API. Source: OpenStreetMap (ODbL 1.0). Completeness and accuracy are not guaranteed. Facilities that have ceased operation are included because they still physically exist, and the popup shows "Status: Decommissioned". Useful as a starting point for the approximate nuclear emergency planning zone (roughly a 30 km radius) and for finding where evacuation plans are published. Note: OpenStreetMap maps the whole Tokai site as a single plant named Tokai Power Station, so Tokai Daini is shown at its location but under that name. Confirm the exact zone boundaries and evacuation plans with the host prefecture and the Nuclear Regulation Authority.

Data source

OpenStreetMap contributors (ODbL 1.0 / https://www.openstreetmap.org/copyright)

Overview

Crematorium locations based on OpenStreetMap contributor data. Coverage: 303 sites nationwide. All 47 prefectures are in scope. A name is recorded for 255 sites (84.2%). Completeness and accuracy are not guaranteed.

Data source

OpenStreetMap contributors (ODbL 1.0)

Overview

Annual benchmark land prices. Most standard indicator for collateral valuation and real estate. Zoomed out, it shows medians by prefecture, municipality or mesh (~10 km / ~1 km); zoomed in, individual points (use class, aggregation and JPY/tsubo are selectable). Medians are of appraisal points, not transaction prices.

Data source

KSJ L01/L02

Overview

Visualizes price change rate between two years. Rising (green) / falling (red).

Data source

Processed by Vulcanz LLC from KSJ L01 (Land Price Publication; change rate calculated from two survey years)

Overview

Actual transaction prices for used condos (2005Q3-, quarterly updates) from MLIT.

Data source

Real Estate Library XIT001

Overview

Land+building transaction prices. For tracking detached house market trends.

Data source

Real Estate Library XIT001

Overview

Land-only transaction prices. For builder land acquisition and new construction site evaluation.

Data source

Real Estate Library XIT001

Overview

Farmland/forest transaction prices. For conversion projects and forestry decisions.

Data source

Real Estate Library XIT001

Overview

Official real-estate appraisal reports behind land-price publications (MLIT Real Estate Information Library), visualized per point. 40,398 points across 8 prefectures over 5 years (as of Aug 2026). Each point holds results from licensed appraisers: three-method valuations (comparison / income / cost) plus values from two appraisers. For collateral valuation and loan screening (banks), land acquisition and due diligence (realtors / homebuilders), and multi-faceted price verification (market indicator vs. expert appraisal). *Reference information; a licensed real-estate appraiser is required for official valuation.*

Data source

Real Estate Library XCT001

Overview

Shows 1,590 of 2,966 nationwide unused national property listings published by the Ministry of Finance (as of the end of FY2023/Reiwa 5) whose locations could be identified from the published addresses. 1,376 properties with lot-number-only addresses cannot be mapped. Price fields are accounting book values for reference only, not actual sale prices. Listing does not mean the property is currently available for application. Note: the Free plan (including signed-out users) shows properties in the 7 Kyushu prefectures only; Starter and above show properties nationwide.

Data source

Processed by Vulcanz LLC from MOF "National Property Individual Information" (locations derived from the published addresses)

Overview

Unused municipal land in Kitakyushu (425). Ready development candidate.

Data source

BODIK

Overview

Cadastral maps from Legal Affairs Bureau. View parcel numbers and shapes. Not a certificate. Parcel numbers change over time via subdivision/merger and may not match the current registry.

Data source

G-Spatial / MoJ

Overview

Farmland parcel boundaries (~27.12M records across 46 prefectures as of Sept 2026; Okinawa not yet ingested) from MAFF. Foundation for ownership and conversion decisions.

Data source

MAFF

Overview

Parcel reference map for Kumamoto only (~702,120). For parcel-based land research.

Data source

BODIK

Overview

With this layer ON, click the target road to see a statistical estimate (median, distribution and confidence: high/medium/low) of frontage road width, derived from nearby transaction and appraisal records. It also shows a road-scale category (wide / standard / narrow) based on building data, for 5 cities: Kitakyushu, Fukuoka, Kurume, Sasebo and Kumamoto (a category, not a width figure). Neither value is a direct measurement of the clicked road itself — both are statistical estimates from surrounding data. Confirm the official width, road classification, and any setback requirement with the local building authority or road administrator.

Data source

Processed by Vulcanz LLC from the MLIT Real Estate Information Library (transaction prices / land appraisal reports; statistically estimated from nearby records)

Overview

Housing starts by municipality (2019-2025). Essential for builders market sizing.

Data source

e-Stat Housing Starts

Overview

Land use during Meiji era. Discover original land purpose. Useful for assessing ground conditions.

Data source

MLIT National Land Survey (Land Classification Survey / Water Survey) / National Land Information Web Mapping System (MLIT) (https://nlftp.mlit.go.jp/kokjo/inspect/inspect.html)

Overview

Land use during Showa era. Track changes from pre-war to post-war.

Data source

MLIT National Land Survey (Land Classification Survey / Water Survey) / National Land Information Web Mapping System (MLIT) (https://nlftp.mlit.go.jp/kokjo/inspect/inspect.html)

Overview

Land use by purpose (residential/commercial/industrial/agricultural). Major metro areas only, detailed at z≥14.

Data source

GSI Japan

Overview

Pre-war topographic maps by the former Imperial Japanese Land Survey, digitized and released by Stanford University Libraries (public domain). For historical research and building location verification. Covers major regions nationwide from Hokkaido to Kyushu, as of Sept 2026. Note: coverage depends on the source collection; sheets not yet digitized by Stanford are not shown. Some major cities including Sendai, Kyoto, and Osaka are not yet included (to be added as the source becomes available). As pre-war historical material, it does not match present-day terrain, boundaries, or buildings.

Data source

Stanford University Libraries (Public Domain)

Overview

Areas that were wetlands, paddies or riverbeds in the Meiji era. Former wetlands tend to have soft ground prone to liquefaction. Major plains only.

Data source

GSI Japan

Overview

Locations of stone monuments erected to pass on the damage caused by past tsunamis, floods, landslides and volcanic disasters. Their inscriptions record what happened and the lessons learned, letting you compare the projected risk shown by hazard layers against what actually occurred on that land. Most effective when combined with the flood-inundation or landslide-warning layers. Click a point to see the monument name, disaster name, disaster type and year erected, together with the full text of the inscription summary. Point colour follows the disaster type (the first type listed when a monument records several). Note: listings are based on applications from each municipality and do not cover every surviving monument; icon positions are approximate and are not survey results, so they must not be relied on for pinpoint accuracy.

Data source

Created from "Natural Disaster Monument Data" (Geospatial Information Authority of Japan)

Overview

Shows former railway routes across Japan (about 6,000 segments, roughly 4,600 km) and about 2,900 former stations, over time. Move the year on the timeline row Former railways to see segments running in that year (orange), sections already closed (grey) and sections whose years are unknown (light grey), and follow waves of closures such as the 1980s national railway restructuring. Former stations are purple dots, a different color from the existing station layer (pink). Switch the base map to the 1974 aerial photography to overlay the routes on imagery that still shows the tracks in service. Click a segment for its name, operator, opening and closing years and status. Note: alignments are traced by OpenStreetMap contributors, positional accuracy varies by area, and closed lines that were never mapped are not shown. Opening and closing years come from OpenStreetMap date tags or are estimated from the years of nearby former stations (Wikidata); estimated segments are marked when clicked (years are known for about 60 percent of segments). Some former stations may be stations that only had a closing date recorded because of a rename or relocation.

Data source

(c) OpenStreetMap contributors (ODbL 1.0) and Wikidata (CC0), processed by Vulcanz LLC

Overview

2050 population forecast (500m mesh). Essential for "what will this land be in 30 years". Coverage: all 47 prefectures.

Data source

KSJ Future Population Forecast (R6 / H30)

Overview

Finer 250m mesh forecast. For detailed catchment analysis. Coverage: Fukuoka Prefecture only (all 72 municipalities). Nothing is drawn outside Fukuoka — the data is not held there; it does not mean no forecast exists. Use the 500m mesh (nationwide) elsewhere.

Data source

KSJ Future Population Forecast (R6)

Overview

Population by cho-chome (age distribution, household types). For detailed demographic analysis.

Data source

e-Stat Census 2020

Overview

Establishment/employee count by 500m mesh. Critical for commercial location.

Data source

e-Stat Census 2021

Overview

Municipal fiscal strength (revenue/demand). ≥1.0 = wealthy municipality with infrastructure investment.

Data source

MIC

Overview

Shows the public assistance rate (recipients as a share of population; e.g. 4.62% means about 4.6 per 100 people) as a color-coded map. The Ministry of Health, Labour and Welfare publishes this survey only for prefectures, designated cities and core cities, so in most areas values are not per municipality: they are per prefecture (excluding designated and core cities), designated city, or core city. Where the prefecture itself publishes municipal figures (Hokkaido, Iwate, Miyagi, Akita, Tokyo, Kanagawa, Saitama, Chiba, Gunma, Niigata, Kyoto, Hyogo, Wakayama, Kochi, Fukuoka, Saga, Nagasaki, Kumamoto and Oita), those municipalities are shown individually (cities only, or cities and towns, depending on what is published). Definitions and reference dates differ by prefecture, so strict cross-prefecture comparison is not advised. Other prefectures will be added as their published data are confirmed. Towns and villages without municipal figures are colored with the value of their whole prefecture (excluding designated and core cities), with no borders drawn between municipalities that share a value. Click an area to see the rate, households and recipients (monthly averages) and the share of households headed by a foreign national (area level only, as it is not published by municipality), for FY2023 and FY2024. The foreign-national share is based on the nationality of the head of household only, not of each recipient (household members nationality is not recorded). Rates reflect local factors such as aging and industry and do not rank areas.

Data source

Ministry of Health, Labour and Welfare, Survey on Public Assistance Recipients (monthly), FY2023-2024 (e-Stat; Government of Japan Standard Terms of Use v2.0) / Municipal figures: public assistance statistics published by each prefecture / Boundaries: Statistics Bureau of Japan, 2020 Census small-area boundaries aggregated by municipality (e-Stat) / Processed by Vulcanz LLC

Overview

Foreign residents and their share by municipality nationwide, from the Basic Resident Register (every year 2013-2026, as of Jan 1; 2013 as of Mar 31). Nagoya (school districts), Chiba, Hiroshima, Koto, Sumida and Adachi are shown by town / school district when zoomed in (each city's open data; years vary by city). 4 display modes. Switch or play years in the Foreign Population row of the bottom timeline; click a place to see its trend. In 2020, Fukuoka City school districts (census, city tabulation) are also shown. Municipal shapes are built from census small-area boundaries. Hamamatsu is shown city-wide because its wards were reorganized in 2024. This is reference information on area statistics and facility locations. It must not be used to screen people by nationality or religion in tenancy, sales, lending or similar decisions.

Data source

MIC, Population based on the Basic Resident Register / resident registers of Nagoya, Chiba, Koto, Sumida, Adachi (CC BY 4.0) and Hiroshima (CC BY 2.1 JP) / e-Stat census small-area boundaries / Fukuoka City, 2020 Population Census: Basic Complete Tabulation (by school district)

Overview

Accident locations from NPA open data (nationwide, 2019-2024, ~1.89M records). For school route safety and insurance.

Data source

NPA Open Data

Overview

Crime locations from prefectural police (~526,000 records, all 47 prefectures as of Sept 2026; 2025 data is added as each prefecture publishes it). For residential safety and rental valuation.

Data source

Prefectural Police

Overview

Tokyo only (annual recognized-case counts per town published by the Tokyo Metropolitan Police, 2009-2025). Switch between robbery, homicide/arson, bodily injury, assault, threats/extortion, burglary (empty house), sneak-in/occupied-house burglary and other burglary. Complements the seven-theft-type point layer (Crime Incidents), which does not include these crime types. Counts per town, not the location of individual incidents. Provisional figures at publication; they may differ from other statistics. "All years" shows the yearly average. Available on the Starter plan and above.

Data source

Tokyo Metropolitan Police Department, "Recognized cases by town, crime type and method", Tokyo, CC BY 4.0 (joined to town boundaries and re-aggregated by MAPRISE)

Overview

MLIT 3D city models. 3D display of building height and usage covers some municipalities nationwide (~23.77M buildings) as of Sept 2026. Seismic collapse-probability analysis, however, is limited to ~1.96M buildings across 27 Kyushu municipalities (Fukuoka, Kitakyushu, Kumamoto, Sasebo, Kurume, etc). Attribute coverage in PLATEAU varies by municipality and survey year. Buildings we individually verified are outlined in gold with corrected usage. The share of buildings with a known usage differs widely: Kurume 100%, Kitakyushu 90%, Fukuoka 85%, but Omachi, Hita and Ogi are at 0% (usage attributes are absent from PLATEAU itself), and Shiroishi 22% / Kohoku 29%. An area that appears uniformly gray is not a data fault - the source data simply carries no usage information (measured 2026-08-02).

• → PLATEAU buildings (use, height, seismic standard, shadows)
• → Sun & shadow (shadows and sunlight-hours heatmap)

Data source

Processed by Vulcanz LLC from MLIT PLATEAU (3D city models, CC BY 4.0)