MapBees

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MapBees supported data fields (cities, countries, and tool coverage)

Want one page that shows what MapBees 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 MapBees data is supported?

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

Today MapBees covers 106 cities with 14 POI category groups (1,260 specific place types), 14 building categories, 420 population and age fields, 330 affluence fields, and 9 accessibility signals.

Types of location data in MapBees

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

1,260 specific types · 14 category groups · 339 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 BreakfastCampgroundHostel
  • Active Life & Fitness

    Pilates StudioPlaygroundDog Park
  • Arts & Entertainment

    Amusement ParkArt GalleryArcade
  • Automotive

    Car WashEv Charging StationTruck Gas Station
  • Bars & Nightlife

    Beer BarCocktail BarWine Bar
  • Beauty & Spa

    Nail SalonDay SpaMedical Spa
  • Eat & Drink

    SushiIndianPizza
  • Education

    Elementary SchoolHigh SchoolPreschool
  • Financial Services

    AccountantBankFinancial Advising
  • Health & Medical

    Family PracticeFamily PracticeProfessional Services
  • Landmarks & Religion

    MonumentRoman Catholic Place Of WorshipPentecostal Place Of Worship
  • Professional Services

    Apartment AgentFamily PracticeInternal Medicine
  • Public Services & Government

    Fire StationCourthouseTown Hall
  • Retail & Shopping

    Convenience StoreDepartment StoreDiscount Store

Population & age

420 fields

Population and age data across 22 topic groups — age bands, households, totals, nationality, and more where available.

  • Households And Families

    Total householdsIn married-couple familiesIn married-couple families: 12 to 17 yearsIn married-couple families: 3 and 4 yearsIn married-couple families: 5 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
  • Population Base

    Total populationTotalFemale residentsMale residentsGerman citizens aged 18+
  • Nationality

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

    In Ge Amt BevoelkerungOther / none / not specifiedProtestantRoman CatholicBuddhist
  • Urban and Rural

    Not defined for this fileRuralTotalUrban
  • National identity

    British onlyEnglish and British onlyEnglish onlyIrish onlyNon-UK identity only
  • Origin

    Born abroad, European originBorn abroad, non-European originBorn in NL, Dutch-origin parentsBorn in NL, EU-origin parentsBorn in NL, non-EU-origin parents

Affluence

330 fields

Housing and income data across 30 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)
  • Build Year

    1919-19451945-19641946-19601961-19701965-1974
  • Tenure (Owner / Renter)

    Lives rent freeOther tenureOwnedOwned outrightOwned with a mortgage or loan
  • Household income

    Net annual household income (FYE2020)Gross income per householdGross income per personMedian equivalised incomeNet equivalised income
  • 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

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 MapBees: 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: New York City, Washington, D.C., Albuquerque, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, ...

France (FR)

Demography source: Filosofi / IRIS public census datasets

9 cities available today.

Cities: Paris, Bordeaux, Lille, Lyon, Marseille, Nantes, Nice, Strasbourg, Toulouse

Spain (ES)

Demography source: INE Censo 2021

10 cities available today.

Cities: Madrid, Alicante (Alacant), Barcelona, Bilbao, Málaga, Murcia, Palma, Seville (Sevilla), Valencia (València), Zaragoza

United Kingdom (GB)

Demography source: ONS Census 2021

11 cities available today.

Cities: London, Birmingham, Bristol, Cardiff (Caerdydd), Leeds, Leicester, Liverpool, Manchester, Newcastle upon Tyne, Nottingham, ...

Netherlands (NL)

Demography source: CBS Vierkantstatistieken 100m

9 cities available today.

Cities: Amsterdam, Almere, Breda, Eindhoven, Groningen, Rotterdam, The Hague, Tilburg, Utrecht

Switzerland (CH)

Demography source: BFS STATPOP + GWS hectare grid

9 cities available today.

Cities: Bern, Zürich, Basel, Geneva, Lausanne, Lucerne, Lugano, St. Gallen, Winterthur

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: 167
  • Specific POI types: 689
  • Demography fields: 318

Berlin (Germany)

  • POI category groups: 14
  • POI subgroups: 141
  • Specific POI types: 515
  • Demography fields: 127

Paris (France)

  • POI category groups: 14
  • POI subgroups: 125
  • Specific POI types: 428
  • Demography fields: 47

London (United Kingdom)

  • POI category groups: 14
  • POI subgroups: 184
  • Specific POI types: 646
  • Demography fields: 143

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 MapBees support?

MapBees supports Germany, United States, France, Spain, United Kingdom, Netherlands, and Switzerland in its location catalog coverage — including major cities such as Berlin, New York City, Paris, Madrid, London, Amsterdam, and Zürich.

What types of data are available in MapBees?

MapBees 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.