April 2026 — Better location, demand, and connectivity intelligence
Six major releases since launching this site, on top of 70+ improvements earlier in the month — all part of folding more of Japan's authoritative data into one AI-powered analysis layer.
We've shipped 6 major releases since launching this site, on top of 70+ improvements earlier in the month. The thread running through them: TATEMONO IQ keeps absorbing authoritative Japan-specific data sources — government hazard maps, IPSS demographic projections, transit ridership, municipal tax data — and folding them into a single AI-powered analysis layer. Generic listings tools and yield calculators don't have this. Here's what that looked like in April.
1. Location risk, visible at a glance
Hazard exposure used to be something an investor checked separately, on a different site, after they were already interested in a property. We pulled it forward: every property now shows flood, landslide, and tsunami risk directly on the map, sourced from the same government data the disaster planners use.
Source: GSI (Geospatial Information Authority of Japan) hazard maps
2. Demographic shifts, prefecture by prefecture
Demand is downstream of demographics, and demographics in Japan are changing faster than national headlines suggest. Property analyses now incorporate IPSS 2024 prefectural household projections and cohort-level breakdowns, so the demand picture for a property reflects where its market is actually heading — not where it was a decade ago.
Source: IPSS (National Institute of Population and Social Security Research) 2024 projections
3. Connectivity, scored not assumed
"Near a station" means very different things in Tokyo versus a regional city. Stations now carry ridership statistics and a tier classification — major hub, express, or local — so connectivity becomes a number an investor can compare across properties, not an adjective.
Source: Transit operator ridership data, classified by TATEMONO IQ
4. Yield and expenses, fully shown
Yield numbers are easy to quote and easy to fudge. We show the full calculation — every input, every assumption — and we now include property tax in operating expenses by default. Investors who care about pro-forma accuracy can finally see what the model is actually doing.
Source: Municipal property tax data + on-platform yield methodology
5. Analyses an investor would actually request
The AI analysis layer learned a lot in April. Each analysis type now carries a plain-language description so investors know what they're getting, Japanese terminology was refined to match how local professionals actually phrase things, and the overall framing shifted toward an investor's perspective — what would a buyer want to know about this property, not what data can we generate.
Source: Analyst feedback + linguistic review
6. Demographic tailwind score, per property
The IPSS data from §2 just got more concrete. Every property now carries a Demographic Tailwind Score — a single number showing how the cohort most likely to rent or buy that property type is projected to grow or shrink in its prefecture through 2040. Tailwind means demand is moving with the property; headwind means it's moving against it. A 1K aimed at young singles, a 3LDK aimed at families, a サ高住 aimed at seniors — each gets matched to its target demographic, and the prefecture-level CAGR for that cohort becomes a badge: Strong Tailwind (cohort growing sharply), Mild Tailwind, Neutral, Mild Headwind, or Strong Headwind (cohort shrinking sharply). The score is sortable and filterable, and it feeds into the AI synopsis so the Investor Fit Score reflects demographic momentum, not just yield and walking distance.
Source: IPSS 2024 cohort projections + TATEMONO IQ property-type → cohort mapping
May 2026: The Demographic Tailwind Score now feeds the Investor Fit Score — available in pre-release beta. See the May 2026 update.