Geo-Intel

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Geo-Intel supported data fields (cities, countries, and tool coverage)

Want one page that shows what Geo-Intel actually supports? This guide lists supported countries and cities, the main data categories, and how scoring, bivariate, market share, and territory mapping use those fields.

Catalog overviewSEO source pageTool mapping
July 1, 20268 min read

What Geo-Intel data is supported?

Geo-Intel supports location data for Germany, United States, France, Spain, and United Kingdom. This page is the simple source of truth for what data is available and how it maps to each tool.

Today Geo-Intel covers 50 cities with 14 POI category groups (728 specific place types), 14 building categories, 354 population and age fields, 289 affluence fields, and 9 accessibility signals.

Types of location data in Geo-Intel

The same five filter sections you see in the app — with example field names from current coverage. For the complete listing, open the full data catalog index.

Building volume

14 subtypes · m3

Building category volume per map tile — useful for demand proxies and built-environment context.

AgriculturalCivicCommercialEducationEntertainmentIndustrialMedicalMilitaryOutbuildingReligiousResidentialRetailServiceTransportation

Points of interest

728 specific types · 14 category groups · 192 subgroups

Place categories for competition and demand — broad groups like Eat & drink roll up to many specific types such as Restaurant or Café.

  • Accommodation

    Bed And BreakfastCampgroundMotel
  • Active Life & Fitness

    GymPlaygroundPilates Studio
  • Arts & Entertainment

    Amusement ParkArt GalleryFairgrounds
  • Automotive

    Car WashEv Charging StationTruck Gas Station
  • Bars & Nightlife

    Beer BarCocktail BarHookah Bar
  • Beauty & Spa

    Nail SalonDay SpaMedical Spa
  • Eat & Drink

    SushiKoreanIndian
  • Education

    Elementary SchoolHigh SchoolPreschool
  • Financial Services

    AccountantAppraisal ServiceAtm
  • Health & Medical

    DrugstoreChildrens HospitalCommunity Services Non Profits
  • Landmarks & Religion

    MonumentRoman Catholic Place Of WorshipPentecostal Place Of Worship
  • Professional Services

    Apartment AgentFamily PracticeFood Beverage Service Distribution
  • Public Services & Government

    Fire StationCourthouseTown Hall
  • Retail & Shopping

    Convenience StoreDepartment StoreDiscount Store

Population & age

354 fields

Population and age data across 13 topic groups — age bands, households, totals, nationality, and more where available.

  • Households And Families

    In married-couple familiesIn married-couple families: 12 to 17 yearsIn married-couple families: 3 and 4 yearsIn married-couple families: 5 yearsIn married-couple families: 6 to 11 years
  • Age

    FemaleFemale: 10 to 14 yearsFemale: 15 to 17 yearsFemale: 18 and 19 yearsFemale: 20 years
  • Marital and civil partnership status

    FemaleFemale: DivorcedFemale: Never marriedFemale: Now marriedFemale: Now married: Married, spouse absent
  • Hispanic or Latino Origin by Race

    Hispanic or LatinoHispanic or Latino: American Indian and Alaska Native aloneHispanic or Latino: Asian aloneHispanic or Latino: Black or African American aloneHispanic or Latino: Native Hawaiian and Other Pacific Islander alone
  • Origin

    Foreign nationals shareForeign nationals share (18+)EU-27 countriesGermanyIn Ge Amt Bevoelkerung
  • Urban and Rural

    Not defined for this fileRuralTotalUrban
  • Religion

    In Ge Amt BevoelkerungOther / none / not specifiedProtestantRoman CatholicBuddhist
  • Population Base

    TotalGerman citizens aged 18+ResidentsTotal populationLives in a communal establishment
  • National identity

    British onlyEnglish and British onlyEnglish onlyIrish onlyNon-UK identity only
  • Country of birth

    AfricaAntarctica, Oceania and OtherBritish OverseasEU countriesMiddle East and Asia

Affluence

289 fields

Housing and income data across 25 topic groups — rent, tenure, home values, vacancy, income, and living-space metrics.

  • Rent

    10.0 to 14.9 percent15.0 to 19.9 percent20.0 to 24.9 percent25.0 to 29.9 percent30.0 to 34.9 percent
  • Housing

    Total1 room2 rooms3 rooms4 rooms
  • Households And Families

    Family householdsFamily households: 2-person householdFamily households: 3-person householdFamily households: 4-person householdFamily households: 5-person household
  • Housing Value

    $1,000,000 to $1,499,999$1,500,000 to $1,999,999$10,000 to $14,999$100,000 to $124,999$125,000 to $149,999
  • Apartment Structure

    Detached single-family houseDetached two-family houseIn Ge Amt WohnungenMulti-family house (13+ apartments)Multi-family house (3-6 apartments)
  • Owner Costs

    Aggregate selected monthly owner costs (dollars)Aggregate selected monthly owner costs (dollars): Housing units with a mortgage (dollars)Aggregate selected monthly owner costs (dollars): Housing units without a mortgage (dollars)Median selected monthly owner costs (dollars): Housing units with a mortgage (dollars)Median selected monthly owner costs (dollars): Housing units without a mortgage (dollars)
  • Cost

    Average net rent per m2Number of apartmentsBuilt after 1990 / 65 m2 or lessBuilt after 1990 / Over 65 m2Built in 1990 or earlier / 65 m2 or less
  • Ownership And Vacancy

    Owner occupancy rateVacancy rateMarket-active vacancy rate
  • Space

    Average living space per apartmentAverage living space per resident
  • Socio Economic Classification

    Full-time studentsHigher managerial & professionalIntermediate occupationsLower managerial & professionalLower supervisory & technical

Accessibility

9 signals

Transit and walkability plus mobility POI counts: parking, EV charging, bike-share, car rental, taxi stands, and fuel stations.

  • Transit stops — Nearby transit stop count in this hex.
  • Pedestrian street length — Meters of pedestrian-friendly streets in this hex.
  • Mixed-use score — Land-use mix proxy for activity diversity.
  • Parking facilities — Nearby parking-related POIs in this hex.
  • EV charging points — Nearby electric vehicle charging POIs in this hex.
  • Bike-share points — Nearby bike rental and bike parking POIs in this hex.
  • Car rental points — Nearby car rental and car-sharing POIs in this hex.
  • Taxi stands — Nearby taxi stand and taxi POIs in this hex.
  • Fuel stations — Nearby fuel and gas station POIs in this hex.

Demography topics in Geo-Intel: Affluence, Age, Households, Nationality, Population.

Supported countries and city coverage

Germany (DE)

Demography source: Zensus 2022

15 cities available today.

Cities: Berlin, Bremen, Cologne (Köln), Dortmund, Dresden, Duisburg, Düsseldorf, Essen, Frankfurt am Main, Hamburg, ...

United States (US)

Demography source: NHGIS 2020

35 cities available today.

Cities: Albuquerque, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Denver, Detroit, ...

France (FR)

Demography source: Filosofi / IRIS public census datasets

Supported today — more cities coming in the next release.

Spain (ES)

Demography source: INE Censo 2021

Supported today — more cities coming in the next release.

United Kingdom (GB)

Demography source: ONS Census 2021

Supported today — more cities coming in the next release.

How detailed is the POI category list?

POI data is not a flat tag list. Categories are nested — broad groups like Retail or Eat & drink contain many specific place types. That is why one city can expose hundreds of selectable fields while staying easy to browse in the filter panel.

New York City (United States)

  • POI category groups: 14
  • POI subgroups: 146
  • Specific POI types: 533
  • Demography fields: 317

Berlin (Germany)

  • POI category groups: 14
  • POI subgroups: 137
  • Specific POI types: 465
  • Demography fields: 126

Paris (France)

  • POI category groups: 14
  • POI subgroups: 125
  • Specific POI types: 404
  • Demography fields: 45

London (United Kingdom)

  • POI category groups: 14
  • POI subgroups: 111
  • Specific POI types: 318
  • Demography fields: 142

Need the complete field-by-field listing? Open the full data catalog index.

Which tools use these fields?

Scoring

Combines selected POI, building, demographics, and accessibility fields with weight and Cluster/Gap direction controls.

Bivariate

Compares any two supported catalog variables side by side as a bivariate map.

Market Share

Uses selected demand lenses from the catalog side by side (population baseline plus selected fields).

Territory Mapping

Aggregates supported population, POI, building, and demographic metrics inside each area and overlap.

Explore by city, then open the app

For city-level pages and neighborhood guides, open /locations. To run scoring, bivariate, territory mapping, or market share with live controls, open /app.

This catalog is decision-support context built from public data. Use it to shortlist and compare areas quickly, then confirm final decisions with local checks.

Quick questions

Which countries does Geo-Intel support?

Geo-Intel supports Germany, United States, France, Spain, and United Kingdom in its location catalog coverage.

What types of data are available in Geo-Intel?

Geo-Intel supports POI place categories, building-volume categories, population and age fields, affluence metrics, and accessibility signals. Availability varies by city.

Can Market Share use different demand fields?

Yes. Market Share always includes a population baseline and can add selected demand lenses side by side, such as households, age, income-weighted demand, or building-related fields where available.

Can Bivariate compare any two supported variables?

Yes. Bivariate can compare two supported fields side by side, as long as both exist in the selected city.

Does Territory Mapping aggregate these same fields?

Yes. Territory Mapping aggregates supported population, POI, building, and demographic metrics inside each area and overlap zone.

See it on a real map

The best way to understand the score is to play with it. The full app is free, with no signup and no sales call.