Loading data for JapanLining up the latest figures for all 47 prefecturesPulling together quakes, weather, and live camerasBuilding the map layers
Nippon Pulse takes the statistics, real-estate transaction prices, Japan Meteorological Agency data, and National Land Numerical Information scattered across public bodies and integrates, cleans, and turns them into time series, with sources. From prefecture to municipality, and further down to neighborhood-block (chōchō) grain, living micro-data is persisted across four layers (raw / cleansed / public / export). Use it as a data foundation for relocation, real estate, insurance, regional revitalization, data analysis, M&A, and more.
ID / name / regional division / prefectural capital / designated-city wards for all 47 prefectures and 1,920 municipalities. The join key for all data. Designated cities are held down to their wards, so municipality-grain aggregation works without breaking.
A set of metrics spanning the prefecture and municipality grains — Fiscal Capacity Index / population change rate / child-rearing & education / healthcare / public safety / housing / environment, and more. Each metric carries a standardized score and a national rank alongside, ensuring comparison on a single basis.
Public statistics are scattered across ministries and municipalities, in different formats, grains, and update cycles. We align them to a join key with sources attached, and persist them at every retrieval to grow a proprietary time series. Past values that a one-off public API does not keep accumulate year after year.
Per neighborhood block (220,000 nationwide), we hold price, liquidity, affordability, sidewalk coverage, future development potential, and more. Rebuilding data at this grain from one-off public-API pulls would take years of work. Being able to handle the street-block-level differences that prefectures and municipalities cannot show is the core.
Standardized scores, national ranks, the 7-domain scores, affordability, commute time, and so on are computed by our own fixed algorithms (computation tied to the numbers — not reproducible by a generative model alone). On top of the source-attached primary data, we add a layer usable for decisions.
Note: each dataset is handled within the scope permitted by the public bodies, with source URLs retained. On provision, the source and the processing level (raw / cleansed / public / export) are stated.
Municipality- and neighborhood-block-grain living indicators and transaction prices can feed your own service's candidate-area scoring and recommendation logic.
A 7-year transaction-price time series and regional context (development plans / access / hazards) can serve as a market-data layer for overseas investors.
Flood-inundation-area polygons and long-run earthquake time series can be cross-referenced as reference data for regional risk assessment and rate studies.
Same-basis, cleaned municipality-grain data can support cross-comparison with neighboring municipalities and an inventory of own-initiative programs.
Source-traceable statistical time series and visualization assets can serve as the base data for articles, reports, and analytics products.
Regional data that bundles a target area's population dynamics, economy, real estate, and future development with sources can serve as a reference layer for due diligence.
Data is provided on an inquiry basis, handled individually. Depending on the scale, use, and update frequency you need, we settle the format (CSV / Parquet / JSON, etc.) and the scope by discussion.
Pricing is quoted individually according to scale and use. To start, tell us how you'd like to use the data via the inquiry form, and we'll follow up.
All data retrieved from external APIs is persisted across four layers, without fail, ready for later re-analysis, sale, and delivery.
Decide based on the relocation suitability score — which combines safety + housing prices + child-rearing + living infrastructure — and the per-prefecture transaction-price ranges.
Cross the four quarters of real-estate transaction data with the time series of population dynamics + economic metrics to assess market potential.
Usable for academic purposes: 47-prefecture-level time-series data, plus the raw-data archive that includes even the per-observation-point records contained in the JMA earthquake detailed data.
Statistical data with curatorial commentary + visualization assets, provided together with expert explanation.
Note: the data shown on Nippon Pulse is redistributed within the scope permitted by the public bodies. For coverage, contributions, or collaboration, please use /press; for general feedback, please use /feedback.
A time series of area (prefecture / municipality) × metric × year. 42,982 prefecture rows + 483,571 municipality rows. Standardized scores, ranks, and data-quality flags alongside, with the retrieval time recorded separately. Values that public APIs keep only as a single snapshot are persisted at every retrieval and grown into a proprietary time series.
Living micro-data for 220,000 neighborhood blocks nationwide. A master of 220,192 blocks + 1,221,775 value rows + 21,435 computed-index rows. Price level, liquidity, affordability, sidewalk coverage, future development potential, and more, held per neighborhood block. The differences at the street-block level that prefectures and municipalities can never show — the gaps in real life within the very same ward — are the core data of this service.
Municipalities' own support programs, layered on top of the national schemes, collected and structured. Program name / eligibility / amount / source URL are held, making visible — at municipality grain — the actual generosity of each municipality that public statistics alone cannot capture.
Large-scale redevelopment / new rail lines / factory siting and the like, structured with type / location / status / source. The status — planned / in progress / delayed / postponed / canceled / completed — and its change history are held, so a region's future context can be referenced with sources attached.
The JMA detailed data is persisted whole, as retrieved (raw archive). The epicenter / magnitude / depth / maximum seismic intensity / affected prefectures are shaped into cleansed data. By retrieving every 5 minutes, we accumulate a long-run earthquake time series that the public API does not keep.
Per-observation-point records extracted and organized from the JMA detailed data. Used to aggregate the maximum seismic intensity per prefecture and per municipality, and as the input for the "safety" part of the relocation suitability score and the fatal-risk assessment. Keeping observation-point grain lets us handle how the same quake shook differently from point to point.
Transaction data for 47 prefectures × the past 7 years (2018–2024) × 4 quarters, stored as retrieved (raw data). The median used-condominium ¥/㎡ + detached-house ¥/tsubo, national rank, year-on-year change, and average growth rates are gathered into cleansed data, and the municipality codes are re-aggregated to also provide a median ¥/㎡ by municipality. It handles the real-demand gaps the prefecture grain cannot show, such as "Minato-ku vs Adachi-ku".
Nationwide: 10,240 rail stations + 994 ports + 108 airports, prepared with coordinates. The base data for commute-time computation (shortest route traced through the rail network) and for assessing transit access. We hold every point without thinning to "major" ones, so even a zoomed-in map can handle the access gaps block by block.
Flood-inundation-area polygons are held as raw data, and their spatial intersection with neighborhood blocks is pre-computed for the fatal-risk assessment in the area-selection tool. Beyond flooding, hazard-map overlays for landslide / tsunami / storm surge / liquefaction are also provided as map layers (each layer's coverage is stated in its legend). This data is meant to be checked together with the official hazard maps.
Regional commentary for prefectures + major municipalities. Built from our own deterministic fact layer (metric values / transaction prices / development plans / distances), it is a text asset that puts observations tied to the numbers into words, with sources attached. A highly processed layer that turns statistical tables into context usable for decisions.
Live streams of railways / rivers / sightseeing spots / zoos / cherry-blossom hills, curated across all 47 prefectures. View counts + concurrent viewers + stream start date/time are accumulated into the statistical layer.
Precipitation distribution from the past 30 minutes to 15 hours ahead. Map tile images are delivered and refreshed to the latest every 5 minutes.