All data available from the Houski API, including regular fields and expansion data sets.
Expansion data sets return sets rather than single values, like a property's assessments across multiple years.
Each field below shows its price and whether it can be sorted, filtered, or predicted, and how full it is in the country or region you choose.
Houski gives every property the same set of fields in every country, so one query works the same everywhere. Choose your country or region to see how much of that set is filled there, and whether it is complete enough for your use. Data updated daily. Where no record exists, Houski estimates the value from the property and its neighbours.
United States
142,856,722
properties
373 of 394
fields filled for nearly every property
97%
average fill of the fields that apply
Measured November 11, 2026
Pick a topic to see its fields.
Pick an industry to see the fields its datasets deliver.
The Filled column of the fields table below is each field's share of properties with a value in the place chosen, with how many properties that is. Each bar is the average fill of the fields that apply in its topic, or of the fields the datasets of its industry deliver. A field that cannot apply here, such as the listing date of a property never listed, is shown in the table but left out of every average. Every figure is also in one JSON file, updated daily.
Every money value is in the currency of the country the property is in: Canadian dollars for a Canadian property, United States dollars for an American one, and pounds sterling for a property in the United Kingdom, when United Kingdom properties are served. Houski applies no exchange rate, and the numbers carry no currency marker, so read the country_abbreviation field to know which currency you have.
The income bands in the demographic fields work the same way. A band such as 100,000 to 149,999 counts Canadian dollars in Canada and United States dollars in the United States, so the same band covers a different real income level in each country and the two percentages do not mean the same thing.
One piece of maths Houski does do: the census income figures are moved to today's dollars. The census reports income in the dollars of its own year, 2021 in Canada and 2024 in the United States, and Houski scales it forward with that country's own consumer price index.
Before you compare, total, or average any money value across countries, convert one side using an exchange rate of your choosing. Billing is separate from all of this and is always in United States dollars, whatever country the data came from.
Listing, rental, assessment, and permit data for properties across every country Houski covers. Expansion rows cost $0.001 each, whatever the row contains, so a full nested record costs the same as one field on the parent property.
| Name | Description | Values | Sortable | Filterable | Source |
|---|---|---|---|---|---|
| expand_estimate_list_price | The price the property was listed for at the given date. It is considered an 'estimate' in our system because we may not have got the exact day of the intial listing or the price change correct, though it generally should be quite accurate. For unlisted events backed by a public sale record, this is the actual price paid in the completed sale rather than an asking price. This value is in the currency of the country the property is in: Canadian dollars for a Canadian property, United States dollars for an American one, pounds sterling for a property in England, Wales or Scotland, euros for one in Latvia, Slovenia, France, Spain, the Netherlands, Finland, Estonia or Austria, Czech koruna for one in Czechia, Polish zloty for one in Poland, Norwegian kroner for one in Norway, Swiss francs for one in Switzerland and South Korean won for one in South Korea. Houski applies no exchange rate, and the number itself carries no currency marker, so read the property's country_abbreviation field to know which currency you have. Before you compare, total, or average this value across countries, convert one side using an exchange rate of your choosing. | N/A | Yes | Yes | estimate |
| expand_listing_date | The date when this property was listed for sale on the market. This timestamp marks the beginning of the property's listing period and serves as a reference point for calculating time-on-market metrics. | N/A | Yes | Yes | estimate |
| expand_listing_event | Identifies the specific market event that triggered the current status of this property listing. This classification tracks significant changes to the property's market presence, providing insights into its listing history and price adjustment patterns.
|
| Yes | Yes | estimate |
| Name | Description | Values | Sortable | Filterable | Source |
|---|---|---|---|---|---|
| expand_estimate_rent_monthly | The rental price that the property was listed for at the given date. It is considered an 'estimate' in our system because we may not have got the exact day of the initial rental listing or price change correct, though it generally should be quite accurate. This value is in the currency of the country the property is in: Canadian dollars for a Canadian property, United States dollars for an American one, pounds sterling for a property in England, Wales or Scotland, euros for one in Latvia, Slovenia, France, Spain, the Netherlands, Finland, Estonia or Austria, Czech koruna for one in Czechia, Polish zloty for one in Poland, Norwegian kroner for one in Norway, Swiss francs for one in Switzerland and South Korean won for one in South Korea. Houski applies no exchange rate, and the number itself carries no currency marker, so read the property's country_abbreviation field to know which currency you have. Before you compare, total, or average this value across countries, convert one side using an exchange rate of your choosing. | N/A | Yes | Yes | estimate |
| expand_for_rent_what_is | Specifies which portion of the property is being offered for rent. This field helps categorize rental listings based on whether the entire property or only specific sections are available. This information can be used to filter rental properties based on tenant needs and living space requirements.
|
| Yes | Yes | estimate |
| expand_listing_rent_date | The date when this property was listed for rent. This timestamp marks the beginning of the property's rental listing period and serves as a reference point for calculating time-on-market metrics. | N/A | Yes | Yes | estimate |
| expand_listing_rent_event | Identifies the specific market event that triggered the current status of this property's rental listing. This classification tracks significant changes to the property's market presence, providing insights into its listing history and price adjustment patterns.
|
| Yes | Yes | estimate |
| Name | Description | Values | Sortable | Filterable | Source |
|---|---|---|---|---|---|
| expand_assessment_year | The calendar year in which the property value assessment was conducted. This temporal reference point indicates when the official valuation was determined, providing context for understanding the assessment's recency and relevance to current market conditions. | N/A | Yes | Yes | document |
| expand_assessment_value | The most recent official property tax assessment value available for this property. This figure is the official value a public authority sets on the property, usually as the base of property tax. It may not reflect current market value and is updated on a schedule that varies by jurisdiction. The assessment year corresponding to this value is provided in the separate 'assessment_year' field. No value will appear if assessment data is unavailable for this property. This value is in the currency of the country the property is in: Canadian dollars for a Canadian property, United States dollars for an American one, pounds sterling for a property in England, Wales or Scotland, euros for one in Latvia, Slovenia, France, Spain, the Netherlands, Finland, Estonia or Austria, Czech koruna for one in Czechia, Polish zloty for one in Poland, Norwegian kroner for one in Norway, Swiss francs for one in Switzerland and South Korean won for one in South Korea. Houski applies no exchange rate, and the number itself carries no currency marker, so read the property's country_abbreviation field to know which currency you have. Before you compare, total, or average this value across countries, convert one side using an exchange rate of your choosing. By country Canada, United States In Canada and the United States this is the value on the property tax roll of the local assessment authority: a city, a county or a provincial assessment agency. Netherlands In the Netherlands this is the valuation of immovable property (WOZ value), which the municipality sets on every home each year for its taxes: by law the price the home would have fetched on the reference date. Latvia In Latvia this is the state's current official valuation, set on 1 January 2025 from 2022 market prices and held at no more than 80 percent of the average price level. Latvia still charges property tax on an older value built on 2012 and 2013 prices, so this figure is not yet its tax base. Slovenia In Slovenia this is the generalised market value the Surveying and Mapping Authority's mass valuation sets on every part of a building, the land under it counted in. Norway In Norway this is the tax value a municipality's property tax list gives the home, which Oslo publishes as a workbook. By law it is 70 percent of the home's valuation, which for most homes is the Tax Administration's estimate of its market value, so it is lower than the price the home would fetch. South Korea In South Korea this is the official price the Ministry of Land, Infrastructure and Transport sets every 1 January on each flat, row house and multi household house, the base of the property tax. A detached house among the Ministry's standard houses takes its standard house price, and other detached houses have no value here. | N/A | Yes | Yes | document |
| Name | Description | Values | Sortable | Filterable | Source |
|---|---|---|---|---|---|
| expand_permit_application_date | The official date when the application for this permit or license was submitted to the relevant authority. This timestamp marks the initiation of the regulatory approval process and serves as a reference point for tracking application progress and processing timelines. | N/A | Yes | Yes | document |
| expand_permit_content | The content of the official permit or license document. This field contains information from the actual permit or license issued by the regulatory authority, whether it's a development permit, building permit, business license, or other official authorization. Houski removes telephone numbers, email addresses, and the owner, applicant and contact details of private individuals from the record text, and marks each removal in the text as [contact removed] or [name removed]. Contractor, builder and business names stay as issued. | N/A | Yes | Yes | document |
| expand_permit_id | The unique identifier assigned to an official license or permit associated with this property. This reference number may represent a development permit, building permit, business license, or other regulatory authorization relevant to the property's use or development status. The identifier can be used to verify approval status or look up detailed information about authorizations through relevant government agencies. | N/A | Yes | Yes | document |
| expand_permit_type | Categorizes the specific type of permit or license associated with this property. This classification helps distinguish between different regulatory authorizations such as building permits, development approvals, business licenses, occupancy permits, or other official sanctioning documents. | N/A | Yes | Yes | document |
| expand_permit_value | The value of the work the applicant declared on the permit, in whole units of the currency of the property's country. It is the figure for the whole job as the permit states it, such as the construction value of a new house or the cost of a renovation. It is not a permit fee and not a value the authority worked out for itself. No value appears where the permit states none, which is the case for most licences and for the authorities that do not publish the figure. This value is in the currency of the country the property is in: Canadian dollars for a Canadian property, United States dollars for an American one, pounds sterling for a property in England, Wales or Scotland, euros for one in Latvia, Slovenia, France, Spain, the Netherlands, Finland, Estonia or Austria, Czech koruna for one in Czechia, Polish zloty for one in Poland, Norwegian kroner for one in Norway, Swiss francs for one in Switzerland and South Korean won for one in South Korea. Houski applies no exchange rate, and the number itself carries no currency marker, so read the property's country_abbreviation field to know which currency you have. Before you compare, total, or average this value across countries, convert one side using an exchange rate of your choosing. | N/A | Yes | Yes | document |
Showing the scores fields. Show every field
| Name ▲ | Description | Price ▲ | Values | Sortable ▲ | Filterable ▲ | Predictable ▲ | Source ▲ | Filled ▲ |
|---|---|---|---|---|---|---|---|---|
| score_air_quality | A numerical assessment of local air quality, scaled from 0 to 10, where higher values indicate better air quality conditions. The score reflects measured levels of airborne particulate pollution in and around the area, with cleaner measured air scoring higher.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. By country Canada In Canada this is the mean PM2.5 of the National Air Pollution Surveillance stations over the years each measured, on a fixed ladder: under 5 micrograms per cubic metre scores 10, 5 to 8 scores 8, 8 to 12 scores 6, 12 to 20 scores 4, 20 to 35 scores 2 and more scores 0. Homes far from any station take a score from their population density. United States In the United States this is the yearly PM2.5 of the Environmental Protection Agency's monitors over 2021 to 2025, wildfire days included, on Canada's ladder. Homes far from any monitor take a score from their population density. United Kingdom In England, Wales and Scotland this is the modelled background PM2.5 of each 1 km square over 2020 to 2024, on Canada's ladder. Latvia, Slovenia, Czechia, France, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria In these countries this is the mean PM2.5 of each 1 km cell of the European Environment Agency's maps over 2019 to 2023, on Canada's ladder. Spain In Spain this is the mean PM2.5 of each 1 km cell of the European Environment Agency's maps over 2019 to 2023, on Canada's ladder. The maps stop short of the Canary Islands, whose homes have no score. South Korea In South Korea this is the PM2.5 of AirKorea's urban, suburban and background stations, roadside and port stations left out, on Canada's ladder. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_bicycle | A numerical assessment of bicycle-friendliness, scaled from 0 to 10, where higher values indicate more favorable conditions for cycling. The score reflects how much dedicated cycling infrastructure, such as bike paths and lanes, is present in and around the area.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Latvia, Switzerland, Estonia, Slovenia Latvia, Switzerland and Estonia rank 1 km grid squares and Slovenia ranks settlements, each counted by its residents, so a thinly peopled square or village moves the ranks little. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_cell_coverage | A numerical assessment of cellular network coverage, scaled from 0 to 10, where higher values indicate superior mobile network connectivity. The score reflects how good mobile service is in the area, from each country's coverage records or measured mobile speeds, named in the note for each country. It is not a signal-strength measurement at the property.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this is the newest technology of the licensed antenna sites near the home: 5G scores 10, LTE 8, 3G 5 and 2G 3. United States In the United States this is the share of the area each technology covers in the Federal Communications Commission's mobile coverage maps, scored 5G 10, LTE 8, 3G 5 and none 0. United Kingdom, Latvia, Slovenia, Czechia, France, Spain, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria, South Korea Outside North America this is the measured mobile speed of Ookla's speed test tiles, about 380 m across, for one quarter, scored by the speeds of the American tiers: 35 megabits a second down and 3 up scores 10, 5 and 1 scores 8, 0.2 and 0.05 scores 5, and slower scores 3. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_curb_appeal | A score from 0 to 10 reflecting how visually appealing the area around this home tends to look from the street. Higher values indicate a more attractive area with well-maintained surroundings. The score is computed from socio-economic and environmental signals for the area: education attainment of nearby residents, household income, walkability, ambient quietness, absence of industrial smells, neighbourhood safety, and listing prices per square metre of comparable properties nearby. Two homes on the same street will typically score very similarly because the score is driven by area-level signals rather than the specific home's exterior condition. Useful for getting a rough sense of how the surrounding streets present. Not a replacement for actually looking at the home or visiting the area.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_earthquake | A numerical assessment of earthquake safety, scaled from 0 to 10, where higher values indicate lower seismic hazard. The score reflects the regional seismic hazard, based on the level of ground shaking expected for the area. Higher scores mean lower hazard.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. By country Canada In Canada this is the peak ground acceleration with a 2 percent chance in 50 years of the National Building Code's 2020 seismic hazard at the nearest of its localities, on a fixed ladder from under 0.05 g scoring 10 to 0.90 g or more scoring 0. United States In the United States this is the same acceleration from the United States Geological Survey's national hazard model, on Canada's ladder. United Kingdom, Latvia, Slovenia, Czechia, France, Spain, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria In Europe this is the same acceleration on rock from the 2020 European Seismic Hazard Model, on Canada's ladder. In France it covers mainland France and Corsica. South Korea In South Korea this is the seismic zone of the home's city or county in the national design standard, because no hazard grid is published: zone I scores 5 and zone II scores 7. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_education | A numerical assessment of how accessible nearby schools are, scaled from 0 to 10, where higher values indicate more schools within easy reach. The score reflects how many schools are nearby and how close they are. It does not measure school ratings, test scores, or teaching quality.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada the schools are Statistics Canada's Open Database of Educational Facilities. United States In the United States the schools are the public and private schools of the National Center for Education Statistics. United Kingdom In England and Wales the schools are the Department for Education's register. In Scotland they are the Scottish Government's school locations, which leave out independent schools, nurseries and colleges. Austria, Czechia, Spain, Netherlands, Poland In these countries the schools are the OpenStreetMap kindergartens, schools, colleges and universities, with or without an address. Switzerland, Slovenia In Switzerland and Slovenia the schools are the OpenStreetMap kindergartens, schools, colleges and universities, with or without an address. Switzerland's 1 km grid squares and Slovenia's settlements are ranked by their residents. Estonia, Latvia In Estonia the schools are the registered institutions of the Education Information System, and in Latvia those of the Ministry of Education and Science. Their 1 km grid squares are ranked by their residents. France In France the schools are the ministry of education's school directory for mainland France and Corsica, which holds no universities. Finland In Finland the schools are Statistics Finland's comprehensive and upper secondary schools, with no vocational schools, universities or kindergartens. Norway In Norway the schools are the national school register for the mainland, which holds no kindergartens. South Korea In South Korea the schools are the national school location data's elementary, middle and high schools, with no kindergartens or universities. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_entertainment | A numerical assessment of local entertainment and recreational opportunities, scaled from 0 to 10, where higher values indicate a diverse and vibrant entertainment ecosystem. The score is calculated from the cultural places and nightlife venues near the property, cultural places weighing 0.4 and nightlife 0.6. The note for each country names its sources.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this weighs Statistics Canada's cultural and art facilities at 0.4 and OpenStreetMap's nightlife at 0.6. United States In the United States this weighs the museums and libraries of the Institute of Museum and Library Services at 0.4 and OpenStreetMap's nightlife at 0.6. United Kingdom, Czechia, France, Spain, Netherlands, Finland, Poland, Norway, Austria, South Korea, Latvia, Slovenia, Switzerland, Estonia Outside North America this weighs OpenStreetMap's cultural places at 0.4 and its nightlife at 0.6, every place counted whether or not it carries an address. Latvia, Switzerland and Estonia rank 1 km grid squares and Slovenia ranks settlements by their residents. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_family | A numerical assessment of family-friendliness, scaled from 0 to 10, where higher values indicate more favorable conditions for families. The score reflects how common families with children are in the area, as a share of its households or of its residents who are children, with more family-oriented neighbourhoods scoring higher.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this ranks the census share of households that are families with children in each dissemination area. United States In the United States this ranks the census survey's share of households that are families with children in each block group. United Kingdom In England and Wales this ranks the 2021 census share of households that are couple families with children in each lower layer super output area, and in Scotland the 2022 census share in each data zone, ranked apart. France, Netherlands, Finland In France, the Netherlands and Finland this ranks the census share of households with children in each census area. Poland In Poland this ranks the census share of families that have children in each statistical region. The census counts families, not households, so people living alone are left out of the share. Spain, Norway, Austria In Spain and Norway this ranks the share of residents under 16, and in Austria the share under 15, of each census area. Latvia, Switzerland, Estonia In Latvia, Switzerland and Estonia this ranks the share of residents under 15 of each 1 km grid square, each square counted by its residents. Squares whose count or total is withheld have no score. Slovenia In Slovenia this ranks the share of households that are families with children, published per municipality, so every settlement (naselje) carries its municipality's share, each counted by its residents. Czechia In Czechia this ranks the share of households that are families with children, published per municipality and carried by every basic settlement unit of it. South Korea In South Korea this ranks the resident register's share of residents aged 0 to 14 in each dong, a share because dong sizes vary so much. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_fire | A numerical assessment of fire safety, scaled from 0 to 10, where higher values indicate lower fire hazard. The score reflects modelled wildfire exposure for the area, drawing on its wildfire history and surrounding landscape. Higher scores mean lower exposure.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. By country Canada In Canada this is the worse of the land burned since 1985 in the Canadian Landsat disturbance maps and the forest fuel of the SCANFI maps around the home, both 30 m across. United States In the United States this is the Forest Service's wildfire hazard potential of 2023 within 1.5 km of the home, capped by the share burned since 1984 in the national burn severity perimeters. United Kingdom, Latvia, Slovenia, Czechia, France, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria, Spain In Europe this is the land burned since 2001 and the land cover of the European Space Agency's 2021 WorldCover around the home, on Canada's bands. The burns of 2016 on are the European Forest Fire Information System's, and those of 2001 to 2015 the fire events of the Global Wildfire Information System's GlobFire database. South Korea In South Korea this is the vegetation fires NASA's satellites detected since 2012 and the European Space Agency's land cover around the home, on Canada's bands. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_flood | A rating from 0 to 10 of how often the area around a property floods, where higher values mean the surrounding area floods less often. It describes the area, not the individual property. A low score does not necessarily mean this property will flood. It may sit on higher ground and stay dry, yet still be greatly affected by nearby flood plains, since flooding can damage surrounding roads, utilities, and services and weigh on value and insurance across the whole area. Treat a low score as a flag to look more closely into whether the specific property is at real risk.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. By country Canada In Canada this is the worse of Natural Resources Canada's flood susceptibility and the Joint Research Centre's river flood depths for floods of 20, 100 and 500 years. United States In the United States this is the Joint Research Centre's river flood depths alone, so coastal flooding is not counted. Hawaii has no score. South Korea In South Korea this is the Joint Research Centre's river flood depths alone, so coastal flooding is not counted. United Kingdom In England, Wales and Scotland this is the worse of the Joint Research Centre's river flood depths and Deltares' coastal flood maps, both without flood defences. Shetland, which no river tile covers, has no score. Latvia, Slovenia, Czechia, France, Finland, Poland, Norway, Switzerland, Estonia, Austria, Spain In these countries this is the worse of the Joint Research Centre's river flood depths and Deltares' coastal flood maps, both without flood defences. Netherlands In the Netherlands this is the yearly chance of a flood at the home from the national flood information system (LIWO), which counts every flood the national flood database models, from the sea, the rivers and the regional waters, and today's failure chances of the dikes. A chance of more than 1 in 30 a year scores as the 20 year floodplain does elsewhere, 1 in 30 to 1 in 300 as the 100 year one, 1 in 300 to 1 in 3,000 as the 500 year one, 1 in 3,000 to 1 in 30,000 scores 8, and a smaller chance scores 10, less one or two where the water would be over 0.5 m or 2 m deep. Because the dikes are counted, Dutch scores are not comparable with the countries scored without flood defences. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_food_and_drink | A numerical assessment of local culinary and beverage options, scaled from 0 to 10, where higher values indicate a diverse and vibrant food and drink scene. The score reflects how many places to eat and drink, such as restaurants, cafes, and bars, are nearby and how close they are.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country United Kingdom, Czechia, France, Spain, Netherlands, Finland, Poland, Norway, Austria, South Korea Outside North America every OpenStreetMap venue counts, whether or not it carries an address. Latvia, Switzerland, Estonia, Slovenia Every OpenStreetMap venue counts, whether or not it carries an address. Latvia, Switzerland and Estonia rank 1 km grid squares and Slovenia ranks settlements, each counted by its residents. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_hurricane | A numerical assessment of hurricane safety, scaled from 0 to 10, where higher values indicate lower hurricane hazard. The score reflects the area's exposure to tropical storm and post-tropical wind, based on historical storm tracks. Higher scores mean lower exposure.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. By country Canada In Canada this is the North Atlantic storm tracks since 1976 of the international best track archive. The interior and the Pacific coast score 10. United States In the United States this is the National Hurricane Center's Atlantic and Pacific tracks since 1976, scored by wind speed on Canada's ladder. Places no storm came near score 10. United Kingdom, France, Spain, Netherlands, Poland, Norway, Austria In these countries this is the North Atlantic storm tracks since 1976 that came within 150 km, most of them storms that had lost their tropical form, on Canada's ladder. Places no track came near score 10. Czechia, Slovenia, Switzerland, Finland, Estonia, Latvia No North Atlantic storm track since 1976 came within 150 km of these countries, so every home scores 10. South Korea In South Korea this is the Western Pacific typhoon tracks since 1976, scored by category on Canada's ladder. Typhoons reach the whole country. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_internet | A score from 0 to 10 reflecting both the speed and the breadth of internet options available at the property. Higher values mean faster connections AND a wider mix of service types to choose from. The score is additive. Each fast service that reaches the property contributes points: fibre, fast wired broadband and, where the country's source counts them, fast fixed wireless and modern low-orbit satellite service. A property with several options scores higher than one with a single option of the same speed, since redundancy matters for reliability and remote-work use. The note for each country says which services its source counts.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this is the speeds the national broadband data gives the home and whether fibre reaches it. Fibre, wired broadband, fixed wireless and satellite each add points. United States In the United States this is the share of the area each speed and technology reaches in the Federal Communications Commission's fixed broadband maps, on Canada's points. United Kingdom, Latvia, Slovenia, France, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria, Spain In these countries this is the measured fixed speed of Ookla's speed test tiles for one quarter, on Canada's points, with fibre credited where the average download passes 80 megabits a second. The tiles name no technology, so fixed wireless and satellite add nothing and the score runs from 0 to 8. Czechia, South Korea In Czechia and South Korea this is the measured fixed speed of Ookla's speed test tiles for one quarter, on Canada's points, with fibre credited where the average download passes 100 megabits a second. The tiles name no technology, so fixed wireless and satellite add nothing and the score runs from 0 to 8. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_nature | A numerical assessment of natural environment quality and accessibility, scaled from 0 to 10, where higher values indicate superior proximity to and quality of natural spaces. The score reflects how much green space, such as parks, forests, and natural areas, is close to the area, with more nearby green space scoring higher.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_parking | A numerical assessment of parking availability and convenience, scaled from 0 to 10, where higher values indicate superior parking options and accessibility. The score reflects how plentiful parking supply tends to be in the area, with more abundant supply scoring higher.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this ranks the OpenStreetMap car and bicycle parking near each dissemination area. United States In the United States this is the best of three ranks: the OpenStreetMap parking near the block group, how few block groups lie within 5 km, and how many do. United Kingdom, Czechia, France, Spain, Netherlands, Finland, Poland, Norway, Austria, South Korea In these countries this is the best of the American three ranks, counting every OpenStreetMap car and bicycle park, whether or not it carries an address. Latvia, Switzerland, Estonia, Slovenia In these countries this is the best of the American three ranks, counting every OpenStreetMap car and bicycle park, whether or not it carries an address. Latvia, Switzerland and Estonia rank 1 km grid squares and Slovenia ranks settlements, each counted by its residents. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_quiet | A numerical assessment of noise levels and acoustic environment, scaled from 0 to 10, where higher values indicate lower noise pollution and more tranquil surroundings. The score is calculated by analyzing multiple noise sources including traffic patterns, proximity to airports, industrial areas, commercial zones, transportation infrastructure, and local sound environment characteristics.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_retirement | A numerical assessment of retirement-friendliness, scaled from 0 to 10, where higher values indicate more favorable conditions for retirees. The score reflects how much the resident population of the area skews toward older, settled residents, with a stronger lean scoring higher.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this ranks the census share of residents aged 60 or more in each dissemination area. United States In the United States this ranks the census survey's share of residents aged 60 to 84 among those under 85 in each block group, because the survey's top age band at that level is 85 and over. United Kingdom In England and Wales this ranks the 2021 census share of residents aged 60 to 84 among those under 85 in each lower layer super output area, and in Scotland the 2022 census share in each data zone, ranked apart. France, Spain, Finland, Poland, Norway, Austria In these countries this ranks the census share of residents aged 60 or more in each census area. Netherlands In the Netherlands this ranks the share of residents aged 65 or more of each neighbourhood, so the 60 to 64 year olds are not counted. Latvia, Switzerland, Estonia In Latvia, Switzerland and Estonia this ranks the share of residents aged 65 or more of each 1 km grid square, each counted by its residents, so the 60 to 64 year olds are not counted. Slovenia In Slovenia this ranks the share of residents aged 60 to 84, published per municipality, so every settlement (naselje) carries its municipality's share, each counted by its residents. The census withholds the ages of the smallest settlements, and their homes take the score of the nearest homes that have one. Czechia In Czechia this ranks the share of residents aged 60 to 84, published per municipality and carried by every basic settlement unit of it. South Korea In South Korea this ranks the resident register's share of residents aged 60 to 84 in each dong. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_safety | A numerical assessment of neighborhood safety, scaled from 0 to 10, where higher values indicate lower crime rates and improved overall safety conditions. The score reflects the severity and frequency of reported crime for the surrounding area, with lower-crime areas scoring higher.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada the score maps the Crime Severity Index Statistics Canada publishes for each police service, which weighs every crime by the sentences courts give for it: an index of 30 or below scores 10 and 150 or above scores 0. United States In the United States the score is a rate of the offences known to each law enforcement agency (the FBI's Crime Data Explorer), a violent offence weighing eight times a property offence, per 1,000 residents a year, mapped onto 0 to 10 between two fixed rates. Every country outside Canada uses the same weighting and the same two rates. United Kingdom In England and Wales the score is worked out for each 2021 lower layer super output area (about 1,500 residents) from the street level crimes of data.police.uk over 36 months. In Scotland it is worked out for each data zone from the crime domain of the Scottish Index of Multiple Deprivation 2020, the crimes recorded in 2017 and 2018, as Police Scotland publishes no street level crimes. Both use the American weighting and rates. Netherlands In the Netherlands the score is worked out for each neighbourhood (buurt) from the crimes the police registered there, published by Statistics Netherlands, with the American weighting and rates. France In France the score is worked out for each commune from the crimes the police and the gendarmerie recorded (the Ministry of the Interior's commune base), with the American weighting and rates. A commune with too few crimes for the ministry to publish its count takes the rate of the withheld communes of its département. Estonia In Estonia the score is worked out for each square kilometre from the offences the Police and Border Guard Board publishes on its grid, with the American weighting and rates. The board publishes no assaults, so the violent offences are robbery and serious breaches of public order. Finland, Norway In Finland and Norway the score is worked out for each municipality from the offences the national statistics office publishes (in Norway the average of the latest two years), with the American weighting and rates, so every home of a municipality shares one score. Switzerland, Czechia In Switzerland the score is worked out for each canton and in Czechia for each of the fourteen regions (kraje), the finest areas their statistics offices publish police offences for, with the American weighting and rates, so every home of a canton or region shares one score. Poland In Poland the score is worked out for each district (powiat) from the crimes against life and health and against property per 1,000 residents in Statistics Poland's Local Data Bank, with the American weighting and rates. Spain In Spain the score is worked out from the Ministry of the Interior's crime balance for each municipality of over 20,000 residents, and the rest of each province shares one score, with the American weighting and rates. South Korea In South Korea the score is worked out for each city, county and district (시군구) from the National Police Agency's crimes by region, with the American weighting and rates, so every administrative neighbourhood (dong) of a district shares one score. Slovenia In Slovenia the score is worked out for each of the 58 administrative units (upravne enote) from the criminal offences the police closed, with the American weighting and rates. Austria, Latvia Austria and Latvia have no safety score. Austria's police publish offences by district only inside reports, never as a table. Latvia publishes offences by type for the country only, and its municipalities' recorded crimes, split by the country's shares, would all score 10. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_shopping | A numerical assessment of shopping accessibility and variety, scaled from 0 to 10, where higher values indicate superior shopping options and convenience. The score is calculated by analyzing multiple factors including retail diversity, proximity to shopping centers, variety of stores, accessibility of shopping districts, and overall shopping infrastructure.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Latvia, Switzerland, Estonia, Slovenia Latvia, Switzerland and Estonia rank 1 km grid squares and Slovenia ranks settlements, each counted by its residents, so a thinly peopled square or village moves the ranks little. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_smell | A numerical assessment of olfactory environment quality, scaled from 0 to 10, where higher values indicate more pleasant and less obtrusive odors. The score is calculated by analyzing multiple factors including proximity to industrial areas, agricultural operations, waste management facilities, natural odor sources, and overall air quality characteristics.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_tornado | A numerical assessment of tornado safety, scaled from 0 to 10, where higher values indicate lower tornado hazard. The score reflects the area's exposure to tornadoes, based on historical tornado activity. Higher scores mean lower exposure.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this is the verified touchdowns of 1980 to 2009 in the National Tornado Database, scored by rating from 0 for F5 to 5 for F0. British Columbia, Atlantic Canada and the far north score 10. United States In the United States this is how often tornadoes touched down near the block group from 1950 to 2024 in the Storm Prediction Center's database, weighted by rating. Places none reached score 10. France In France this is how often tornadoes struck near the commune since 1950 in the French tornado observatory's list of confirmed tornadoes, weighted by rating on the same scale as the United States, so the two countries' scores compare. Each tornado is placed at the centre of the commune it struck. Places none reached score 10. United Kingdom, Latvia, Slovenia, Czechia, Spain, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria, South Korea Outside North America and France there is no score, because no free record of tornadoes with their places and ratings is published. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_total | A proprietary composite rating from 1-10 that represents the overall quality and desirability of the property. This score is calculated by summing individual component scores (prefixed with 'score_') across multiple property attributes, normalizing the total against the highest possible score, multiplying by 100, and then converting to a 0-10 scale. Score curb appeal is excluded from this total because it is subjective. \(\text{Houski Score} = \text{round}\left(\frac{\sum \text{Individual Scores}}{\text{Max Total Score}} \times 10\right)\)
Higher scores indicate properties with better overall characteristics relative to other properties in the database. This provides an at-a-glance assessment of property quality. Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. | $0.0010 | N/A | Yes | Yes | No | calc'd from other fields | 100.0% 142,856,722 properties |
| score_total_percent | The property's overall quality and desirability rating expressed as a percentage from 0-100%. This percentage is calculated by summing all individual component scores (prefixed with 'score_'), then normalizing against the maximum possible score in the database and multiplying by 100. Score curb appeal is excluded from this total because it is subjective. \(\text{Houski Score Percent} = \frac{\sum \text{Individual Scores}}{\text{Max Total Score}} \times 100\)
This percentage value provides a more granular version of the Houski score, allowing for finer distinctions between properties. It represents the same underlying quality assessment as the Houski score, but normalized to a percentage Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. | $0.0010 | N/A | Yes | Yes | No | calc'd from other fields | 100.0% 142,856,722 properties |
| score_traffic | A numerical assessment of traffic conditions, scaled from 0 to 10, where higher values indicate less congested and more efficient transportation environments. The score reflects how exposed the area is to busy major roads, with lighter, calmer local traffic scoring higher.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Latvia, Switzerland, Estonia, Slovenia Latvia, Switzerland and Estonia rank 1 km grid squares and Slovenia ranks settlements, each counted by its residents, so a thinly peopled square or village moves the ranks little. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_transit | A numerical assessment of public transportation accessibility and quality, scaled from 0 to 10, where higher values indicate superior transit options and infrastructure. The score is calculated from the public transit stops near the property and, where the country's source has it, the service those stops offer. The note for each country names the source it ranks.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this ranks the transit index of the Canadian Active Living Environments database for each dissemination area. United States In the United States this ranks the distance to a stop and the peak service frequency of the Environmental Protection Agency's Smart Location Database. A block group with no service takes a score from its population density, at most 4. United Kingdom In England, Wales and Scotland this ranks the stops of the national public transport access nodes within 1 km, added to the walkability index. Scotland's data zones are ranked apart. Czechia, France, Spain, Finland, Poland, Austria, South Korea In these countries this ranks the OpenStreetMap boarding stops within 1 km of each census area's centre, added to the walkability index. Netherlands, Norway In the Netherlands and Norway this ranks the boarding places of the national public transport timetable within 1 km of each census area's centre, added to the walkability index. A station or a stop area counts once with its platforms. Estonia In Estonia this ranks the boarding places of the national public transport timetable within 1 km, added to the walkability index, with the 1 km grid squares counted by their residents. Latvia, Switzerland, Slovenia In these countries this ranks the OpenStreetMap boarding stops within 1 km, added to the walkability index. Latvia and Switzerland rank 1 km grid squares and Slovenia ranks settlements, each counted by its residents. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_walkability | A numerical assessment of pedestrian-friendliness, scaled from 0 to 10, where higher values indicate superior walking conditions and accessibility. The score reflects how connected the local streets are and how many everyday destinations sit within walking distance, with more walkable areas scoring higher.
Scores are calculated within a single country and are not comparable across countries. Each score weaves together several sources, and which sources exist differs from one country to the next, so the same number in Calgary and in Denver does not describe the same thing. To compare places in different countries, do your own normalization: choose a pair of places you consider equivalent, such as Calgary and Denver for walkability, align their values, and read every other place against that pairing. By country Canada In Canada this ranks the index of the Canadian Active Living Environments database for each dissemination area. United States In the United States this ranks the Environmental Protection Agency's National Walkability Index. A block group with no index takes a score from its population density, at most 6. United Kingdom, Latvia In England, Wales, Scotland and Latvia this ranks a Houski index built the Canadian way: the OpenStreetMap street intersections, the homes and the OpenStreetMap shops within 1 km. Latvia's 1 km grid squares are counted by their residents. South Korea In South Korea this ranks the same Houski index, with the homes of the road name address register. Slovenia, Czechia, France, Spain, Netherlands, Finland, Poland, Norway, Switzerland, Estonia, Austria In these countries this ranks the same Houski index, with the census residents in place of the homes. Switzerland, Estonia and Slovenia count each area by its residents. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |
| score_water_quality | A numerical assessment of overall water quality, scaled from 0 to 10, where higher values indicate cleaner local surface water (rivers, lakes, streams). The score reflects the health of nearby rivers and lakes as each country's monitoring classes it: by chemical measures in some countries, and by the life and habitat of each water body in others. The note for each country names what it reads. This is a measure of source-water and surface-water condition, not literally what comes out of the tap (treated municipal water is generally safe even where source water is degraded). It is useful for understanding the quality of nearby lakes and rivers and the broader contamination pressures in the area.
Every country is scored on one fixed ladder shared by all of them, rather than ranked within its own country, so scores can be compared across countries. Where the sources behind the ladder differ from one country to the next, the note for each country names them. By country Canada In Canada this is the Canadian Water Quality Index of Environment and Climate Change Canada's monitoring stations, which weighs measures such as dissolved oxygen, pH, ammonia, nitrate, phosphorus and metals against their guidelines: 95 or more scores 10, 80 scores 9, 65 scores 7, 45 scores 5 and less scores 2. United States In the United States this is the biological indices of the Environmental Protection Agency's national surveys of rivers and lakes, the chemistry left out. United Kingdom In England this is the ecological status the Environment Agency gives each water body, high scoring 10, good 9, moderate 7, poor 5 and bad 2. In Scotland it is the overall class of the Scottish Environment Protection Agency, the lower of the ecological and chemical status. Wales has no score. Latvia, Slovenia, Czechia, France, Spain, Netherlands, Poland, Norway, Estonia, Austria In these countries this is the ecological status each river and lake water body was reported with under the Water Framework Directive in 2022, on England's classes. The chemical status is not read. Finland In Finland this is the Finnish Environment Institute's 2022 ecological classification of each water body, on England's classes. Switzerland, South Korea Switzerland and South Korea have no score: Switzerland publishes no national classification, and South Korea's water data needs a keyed service. | $0.0010 |
| Yes | Yes | No | official sources, adjusted by user votes | 100.0% 142,856,722 properties |