'Saigai Map' Releases 'Disaster Risk Chronological Tracker' for Addresses ── Visualizing the Past 10 Years of Flood Records and Earthquakes on a Timeline
Mycat has launched a feature on 'Saigai Map' that visualizes 10 years of disaster history (floods, earthquakes) on a timeline by simply entering an address. It aids in real estate and insurance decisions by showing dynamic risk trends.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 01:00
- 🔍 Collected: April 1, 2026 at 16:47
- 🤖 AI Analyzed: April 21, 2026 at 23:52 (487h 5m after Collected)
Mycat Inc. has launched the 'Disaster Risk Chronological Tracker' on its disaster risk visualization service 'Saigai Map' (https://saigaimap.xyz), allowing users to check the disaster occurrence status over the past 10 years on a timeline simply by entering an address. Tool URL: https://saigaimap.xyz/tools/risk-timeline
### An Era Where the 'Current' Hazard Map is Not Enough to Make Decisions
According to flood damage statistics from the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), the annual average flood damage in Japan reached approximately 800 billion yen over the 10 years from 2014 to 2023, and the number of occurrences of hourly rainfall exceeding 50mm has increased by about 1.5 times compared to the 1980s (Source: MLIT Flood Statistics, Japan Meteorological Agency AMeDAS Data). While traditional hazard maps provide static information on the 'maximum possible scale', for those actually considering purchasing a home or reviewing insurance, chronological information such as 'how the risk in this location has changed over the past few years' was lacking as material for decision-making. According to a Cabinet Office survey, only about 63.5% of people have checked hazard maps, and even fewer grasp the 'changes in risk' (Source: Cabinet Office Public Opinion Survey on Disaster Prevention, 2022).
### How the Chronological Tracker Works
The Disaster Risk Chronological Tracker visualizes disaster-related data recorded in the past 10 years around a given location as an annual timeline, simply by entering the address.
Target Data
- Inundation records (Based on MLIT estimated inundation area maps and inundation record maps)
- Number of sediment disaster occurrences (MLIT sediment disaster occurrence data)
- Number of earthquakes with a seismic intensity of 1 or higher (JMA Seismic Intensity Database)
- Number of emergency heavy rain warnings and flood warnings issued (JMA warning issuance history)
Features of the Timeline Display
Annual trends are displayed using a combination of bar and line graphs, allowing the latest trends to be understood at a glance. Automatic alerts are displayed for risk items that are on an upward trend, enabling users to clearly grasp changes such as 'earthquake frequency is increasing compared to 5 years ago' or 'inundation recorded in the past 3 years'.
### Use Case 1: Location Assessment Before Purchasing a Home
Buying a home is one of the biggest purchases in life. While the presence of a hazard map is disclosed during the explanation of important matters in real estate transactions, past disaster history is not necessarily included. By using the Chronological Tracker, you can confirm information invisible on a map in advance, such as 'The risk is low on the hazard map, but it actually flooded in the last 5 years'. The repayment period for a mortgage is generally 35 years. To judge the risk over such a long period, it is important to know not just current information, but the direction of whether the risk is increasing or stable.
### Use Case 2: Reviewing Fire and Earthquake Insurance
According to the Non-Life Insurance Rating Organization of Japan, the revision of fire insurance rates in FY2024 is advancing the transition to a premium structure that reflects regional differences in flood risk (Source: Non-Life Insurance Rating Organization of Japan). If you live in an area where premiums are rising, being able to numerically check the actual risk trends behind the increase makes it easier to decide on reviewing your insurance. When considering 'Should I get thicker coverage or keep it as is?', showing specifically whether 'flood risk has risen or fallen over the past 10 years' enables an evidence-based decision.
### Use Case 3: Formulating Local Government Disaster Prevention Plans
For local government disaster prevention officials, conveying the risk trends of their jurisdiction to residents in an easy-to-understand manner is the foundation of disaster prevention awareness. Because the Chronological Tracker allows for easy checking of risk trends by address, it can also be used to create materials for disaster drills and resident briefing sessions. According to statistics from the Fire and Disaster Management Agency of the Ministry of Internal Affairs and Communications, the activity coverage rate of voluntary disaster prevention organizations has reached 84.7% (Source: FDMA FY2023), but tools to quantitatively show 'how the risk of the place where I live is changing' were limited.
### Regarding Data Handling
The data used in this tool is based on public data released by the MLIT, JMA, and FDMA. The entered address data is used only for risk calculation and is not saved on the server. In the future, we will sequentially add functions that continuously support disaster preparedness, such as integration with nationwide evacuation shelter information and a year-over-year comparison report function for risk scores. *This tool does not predict the occurrence of disasters.
### An Era Where the 'Current' Hazard Map is Not Enough to Make Decisions
According to flood damage statistics from the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), the annual average flood damage in Japan reached approximately 800 billion yen over the 10 years from 2014 to 2023, and the number of occurrences of hourly rainfall exceeding 50mm has increased by about 1.5 times compared to the 1980s (Source: MLIT Flood Statistics, Japan Meteorological Agency AMeDAS Data). While traditional hazard maps provide static information on the 'maximum possible scale', for those actually considering purchasing a home or reviewing insurance, chronological information such as 'how the risk in this location has changed over the past few years' was lacking as material for decision-making. According to a Cabinet Office survey, only about 63.5% of people have checked hazard maps, and even fewer grasp the 'changes in risk' (Source: Cabinet Office Public Opinion Survey on Disaster Prevention, 2022).
### How the Chronological Tracker Works
The Disaster Risk Chronological Tracker visualizes disaster-related data recorded in the past 10 years around a given location as an annual timeline, simply by entering the address.
Target Data
- Inundation records (Based on MLIT estimated inundation area maps and inundation record maps)
- Number of sediment disaster occurrences (MLIT sediment disaster occurrence data)
- Number of earthquakes with a seismic intensity of 1 or higher (JMA Seismic Intensity Database)
- Number of emergency heavy rain warnings and flood warnings issued (JMA warning issuance history)
Features of the Timeline Display
Annual trends are displayed using a combination of bar and line graphs, allowing the latest trends to be understood at a glance. Automatic alerts are displayed for risk items that are on an upward trend, enabling users to clearly grasp changes such as 'earthquake frequency is increasing compared to 5 years ago' or 'inundation recorded in the past 3 years'.
### Use Case 1: Location Assessment Before Purchasing a Home
Buying a home is one of the biggest purchases in life. While the presence of a hazard map is disclosed during the explanation of important matters in real estate transactions, past disaster history is not necessarily included. By using the Chronological Tracker, you can confirm information invisible on a map in advance, such as 'The risk is low on the hazard map, but it actually flooded in the last 5 years'. The repayment period for a mortgage is generally 35 years. To judge the risk over such a long period, it is important to know not just current information, but the direction of whether the risk is increasing or stable.
### Use Case 2: Reviewing Fire and Earthquake Insurance
According to the Non-Life Insurance Rating Organization of Japan, the revision of fire insurance rates in FY2024 is advancing the transition to a premium structure that reflects regional differences in flood risk (Source: Non-Life Insurance Rating Organization of Japan). If you live in an area where premiums are rising, being able to numerically check the actual risk trends behind the increase makes it easier to decide on reviewing your insurance. When considering 'Should I get thicker coverage or keep it as is?', showing specifically whether 'flood risk has risen or fallen over the past 10 years' enables an evidence-based decision.
### Use Case 3: Formulating Local Government Disaster Prevention Plans
For local government disaster prevention officials, conveying the risk trends of their jurisdiction to residents in an easy-to-understand manner is the foundation of disaster prevention awareness. Because the Chronological Tracker allows for easy checking of risk trends by address, it can also be used to create materials for disaster drills and resident briefing sessions. According to statistics from the Fire and Disaster Management Agency of the Ministry of Internal Affairs and Communications, the activity coverage rate of voluntary disaster prevention organizations has reached 84.7% (Source: FDMA FY2023), but tools to quantitatively show 'how the risk of the place where I live is changing' were limited.
### Regarding Data Handling
The data used in this tool is based on public data released by the MLIT, JMA, and FDMA. The entered address data is used only for risk calculation and is not saved on the server. In the future, we will sequentially add functions that continuously support disaster preparedness, such as integration with nationwide evacuation shelter information and a year-over-year comparison report function for risk scores. *This tool does not predict the occurrence of disasters.