Data APIdocs
Accuracy

How we measure up against Google

We benchmark every country against Google Places on two questions: entity agreement (M1) — when we and Google both see a place, do we agree it is the same entity — and Google coverage (M2) — the share of what Google finds that we also have. Google is a benchmark, not an oracle: it is the most widely recognised reference point, not ground truth, and a disagreement is as often a Google artefact as one of ours.

Countries measured13
Median M169.5%
Best marketSwitzerlandM1 75.5%
POIs sampled27,716across all countries

Country comparison

Entity agreement, Google coverage and F1 per country, best agreement first
CountryEntity agreement (M1)Google coverage (M2)F1Benchmarked
SwitzerlandCH75.5% ±1.732.7%45.6%2026-07-31
United StatesUS74.6% ±1.957.9%65.2%2026-07-31
New ZealandNZ74.0% ±1.838.0%50.2%2026-08-02
SpainES73.4% ±1.925.9%38.3%2026-08-03
AustraliaAU73.3% ±1.855.0%62.8%2026-07-31
GermanyDE71.5% ±1.946.2%56.1%2026-07-31
NetherlandsNL69.5% ±1.935.9%47.4%2026-07-31
IndiaIN69.3% ±2.110.2%17.8%2026-08-03
United KingdomGB69.2% ±1.948.3%56.9%2026-07-28
SwedenSE68.4% ±2.045.3%54.5%2026-07-31
FranceFR67.8% ±1.939.8%50.1%2026-07-31
PolandPL66.7% ±2.031.5%42.8%2026-08-01
TürkiyeTR59.0% ±2.37.4%13.2%2026-07-31

Country detail

Expand a country for its per-category agreement, how agreement varies with the number of datasets that confirm a place, how it varies with population density, and which datasets feed it.

SwitzerlandCHM1 75.5%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for Switzerland
Education
Primary School77.2% ±8.5n=92
Secondary School67.4% ±9.4n=92
University62.8% ±10.0n=86
Food & Drink
Restaurant79.0% ±8.8n=81
Cafe75.4% ±10.0n=69
Bar80.0% ±10.0n=60
Bakery84.4% ±8.1n=77
Meal Takeaway64.7% ±15.3n=34
Groceries
Supermarket81.7% ±7.8n=93
Grocery Store66.7% ±9.9n=84
Convenience Store82.1% ±8.1n=84
Health
Pharmacy82.4% ±7.8n=91
Doctor81.0% ±8.3n=84
Dentist80.7% ±8.4n=83
Hospital77.9% ±8.3n=95
Veterinary Care86.4% ±7.5n=81
Leisure
Gym58.0% ±11.3n=69
Park53.2% ±10.9n=77
Museum70.0% ±9.9n=80
Tourist Attraction64.4% ±11.9n=59
Lodging80.0% ±8.7n=80
Place Of Worship75.0% ±9.3n=80
Money
Bank71.6% ±10.1n=74
ATM89.7% ±6.5n=87
Post Office31.9% ±10.5n=72
Retail & Transport
Clothing Store81.0% ±9.6n=63
Hair Salon83.6% ±8.5n=73
Gas Station80.2% ±8.3n=86
Car Repair91.4% ±6.7n=70
Transit Station86.9% ±6.7n=99

By number of contributing sources

1 source68.5%n=875
2 sources75.7%n=851
3 sources84.9%n=629

By population density band

Dense urban74.1%n=1119
Urban77.2%n=868
Suburban75.7%n=350
Rural72.2%n=18

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/switzerland-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
No government registers integrated yet
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
United StatesUSM1 74.6%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for United States
Education
Primary School76.4% ±8.7n=89
Secondary School53.8% ±10.0n=91
University66.7% ±9.9n=84
Food & Drink
Restaurant77.6% ±10.5n=58
Cafe85.9% ±8.1n=71
Bar69.6% ±11.7n=56
Bakery90.4% ±8.2n=52
Meal Takeaway50.0% ±15.9n=34
Groceries
Supermarket87.0% ±6.9n=92
Grocery Store76.3% ±9.4n=76
Convenience Store87.7% ±7.6n=73
Health
Pharmacy76.1% ±9.8n=71
Doctor69.6% ±10.6n=69
Dentist60.9% ±11.2n=69
Hospital67.1% ±10.5n=73
Veterinary Care83.8% ±8.7n=68
Leisure
Gym66.7% ±11.9n=57
Park48.5% ±11.7n=66
Museum65.7% ±10.9n=70
Tourist Attraction67.2% ±11.0n=67
Lodging78.7% ±10.1n=61
Place Of Worship90.7% ±6.7n=75
Money
Bank78.4% ±11.1n=51
ATM79.0% ±10.0n=62
Post Office55.0% ±10.7n=80
Retail & Transport
Clothing Store74.5% ±11.2n=55
Hair Salon84.6% ±9.8n=52
Gas Station79.1% ±9.6n=67
Car Repair83.3% ±9.9n=54
Transit Station96.9% ±3.8n=98

By number of contributing sources

1 source65.1%n=711
2 sources76.0%n=764
3 sources84.5%n=566

By population density band

Dense urban74.5%n=1570
Urban74.8%n=408
Suburban74.2%n=62
Rural100.0%n=1

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/north-america/us-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
New ZealandNZM1 74.0%2026-08-02

Entity agreement by category

Entity agreement (M1) per category for New Zealand
Education
Primary School58.5% ±9.8n=94
Secondary School43.5% ±9.9n=92
University65.1% ±10.1n=83
Food & Drink
Restaurant88.6% ±6.7n=88
Cafe73.5% ±10.3n=68
Bar84.0% ±8.3n=75
Bakery88.9% ±6.9n=81
Meal Takeaway71.0% ±11.0n=62
Groceries
Supermarket70.0% ±9.3n=90
Grocery Store73.8% ±9.3n=84
Convenience Store79.5% ±8.6n=83
Health
Pharmacy76.2% ±10.3n=63
Doctor75.9% ±9.1n=83
Dentist82.3% ±8.4n=79
Hospital87.5% ±6.9n=88
Veterinary Care75.9% ±9.1n=83
Leisure
Gym88.0% ±7.4n=75
Park54.5% ±11.7n=66
Museum81.6% ±8.1n=87
Tourist Attraction53.6% ±12.6n=56
Lodging88.4% ±7.6n=69
Place Of Worship80.6% ±9.0n=72
Money
Bank55.7% ±11.3n=70
ATM79.6% ±10.6n=54
Post Office43.1% ±11.1n=72
Retail & Transport
Clothing Store81.7% ±8.9n=71
Hair Salon83.3% ±8.9n=66
Gas Station78.9% ±8.3n=90
Car Repair80.0% ±8.9n=75
Transit Station72.7% ±23.4n=11

By number of contributing sources

1 source61.7%n=681
2 sources74.5%n=812
3 sources84.8%n=737

By population density band

Dense urban73.6%n=2011
Urban79.0%n=162
Suburban63.0%n=27
Rural80.0%n=30

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/australia-oceania/new-zealand-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset
Census & demographics
Not available
Public transport
TravelTime public transport network
SpainESM1 73.4%2026-08-03

Entity agreement by category

Entity agreement (M1) per category for Spain
Education
Primary School73.2% ±8.7n=97
Secondary School78.7% ±8.2n=94
University63.6% ±10.5n=77
Food & Drink
Restaurant81.0% ±8.6n=79
Cafe86.4% ±8.3n=66
Bar78.3% ±9.6n=69
Bakery75.4% ±10.3n=65
Meal Takeaway67.7% ±15.6n=31
Groceries
Supermarket83.5% ±7.8n=85
Grocery Store71.2% ±10.2n=73
Convenience Store73.6% ±10.0n=72
Health
Pharmacy73.1% ±10.4n=67
Doctor65.2% ±11.0n=69
Dentist74.7% ±9.7n=75
Hospital76.4% ±8.7n=89
Veterinary Care85.4% ±7.6n=82
Leisure
Gym73.6% ±10.0n=72
Park45.7% ±11.4n=70
Museum64.5% ±10.5n=76
Tourist Attraction68.3% ±11.5n=60
Lodging88.9% ±6.9n=81
Place Of Worship84.0% ±8.0n=81
Money
Bank60.3% ±11.7n=63
ATM74.7% ±9.7n=75
Post Office62.7% ±10.7n=75
Retail & Transport
Clothing Store74.6% ±10.9n=59
Hair Salon77.2% ±9.1n=79
Gas Station68.2% ±11.0n=66
Car Repair68.3% ±11.2n=63
Transit Station69.1% ±11.9n=55

By number of contributing sources

1 source64.8%n=896
2 sources77.5%n=742
3 sources82.4%n=527

By population density band

Dense urban72.8%n=1649
Urban76.2%n=403
Suburban74.5%n=102
Rural63.6%n=11

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/spain-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
AustraliaAUM1 73.3%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for Australia
Education
Primary School60.8% ±9.5n=97
Secondary School49.5% ±10.1n=91
University66.7% ±10.1n=81
Food & Drink
Restaurant79.7% ±8.8n=79
Cafe73.7% ±9.7n=76
Bar86.4% ±8.3n=66
Bakery73.0% ±9.9n=74
Meal Takeaway80.0% ±12.1n=40
Groceries
Supermarket81.9% ±7.7n=94
Grocery Store74.4% ±9.3n=82
Convenience Store75.9% ±9.1n=83
Health
Pharmacy66.3% ±9.6n=89
Doctor73.1% ±9.7n=78
Dentist74.7% ±9.4n=79
Hospital74.2% ±9.0n=89
Veterinary Care82.2% ±8.7n=73
Leisure
Gym77.3% ±9.3n=75
Park72.8% ±9.5n=81
Museum79.0% ±8.8n=81
Tourist Attraction55.6% ±12.8n=54
Lodging85.7% ±7.5n=84
Place Of Worship75.3% ±9.2n=81
Money
Bank52.4% ±12.0n=63
ATM62.9% ±11.7n=62
Post Office76.3% ±9.2n=80
Retail & Transport
Clothing Store70.6% ±10.6n=68
Hair Salon75.0% ±10.4n=64
Gas Station73.5% ±9.3n=83
Car Repair74.2% ±10.3n=66
Transit Station89.9% ±6.0n=99

By number of contributing sources

1 source61.4%n=738
2 sources75.9%n=905
3 sources82.8%n=669

By population density band

Dense urban73.4%n=2207
Urban70.5%n=95
Suburban80.0%n=10

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/australia-oceania/australia-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
GermanyDEM1 71.5%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for Germany
Education
Primary School66.3% ±9.5n=92
Secondary School65.3% ±9.4n=95
University65.1% ±10.1n=83
Food & Drink
Restaurant85.2% ±7.7n=81
Cafe70.4% ±9.8n=81
Bar84.8% ±8.6n=66
Bakery71.4% ±10.9n=63
Meal Takeaway47.4% ±15.1n=38
Groceries
Supermarket80.5% ±8.3n=87
Grocery Store78.8% ±9.7n=66
Convenience Store79.8% ±8.5n=84
Health
Pharmacy83.3% ±7.9n=84
Doctor54.2% ±11.2n=72
Dentist66.7% ±10.4n=75
Hospital61.2% ±10.1n=85
Veterinary Care63.4% ±10.9n=71
Leisure
Gym68.3% ±9.9n=82
Park47.3% ±11.1n=74
Museum67.5% ±10.1n=80
Tourist Attraction81.1% ±10.4n=53
Lodging88.1% ±7.0n=84
Place Of Worship78.5% ±8.9n=79
Money
Bank67.1% ±10.3n=76
ATM75.3% ±9.2n=81
Post Office65.7% ±10.9n=70
Retail & Transport
Clothing Store68.8% ±11.1n=64
Hair Salon67.2% ±11.2n=64
Gas Station71.8% ±9.8n=78
Car Repair77.9% ±9.7n=68
Transit Station83.7% ±7.3n=98

By number of contributing sources

1 source64.5%n=857
2 sources66.9%n=717
3 sources84.9%n=700

By population density band

Dense urban71.1%n=1226
Urban70.2%n=799
Suburban78.9%n=223
Rural69.2%n=26

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/germany-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
No government registers integrated yet
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
NetherlandsNLM1 69.5%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for Netherlands
Education
Primary School48.9% ±10.1n=90
Secondary School44.3% ±10.7n=79
University60.2% ±10.3n=83
Food & Drink
Restaurant78.0% ±8.8n=82
Cafe78.6% ±9.5n=70
Bar71.2% ±11.3n=59
Bakery67.1% ±10.5n=73
Meal Takeaway55.2% ±17.0n=29
Groceries
Supermarket66.3% ±9.8n=86
Grocery Store80.3% ±8.9n=76
Convenience Store77.5% ±8.6n=89
Health
Pharmacy67.1% ±10.8n=70
Doctor73.6% ±10.0n=72
Dentist74.3% ±9.8n=74
Hospital68.2% ±9.7n=85
Veterinary Care74.7% ±9.4n=79
Leisure
Gym73.8% ±9.5n=80
Park39.3% ±12.4n=56
Museum64.1% ±10.4n=78
Tourist Attraction57.8% ±11.8n=64
Lodging70.6% ±12.1n=51
Place Of Worship69.1% ±9.9n=81
Money
Bank62.1% ±16.7n=29
ATM92.1% ±5.7n=89
Post Office71.2% ±10.2n=73
Retail & Transport
Clothing Store70.8% ±10.8n=65
Hair Salon77.0% ±10.4n=61
Gas Station64.1% ±10.4n=78
Car Repair71.4% ±10.9n=63
Transit Station91.0% ±5.7n=100

By number of contributing sources

1 source62.7%n=885
2 sources66.2%n=627
3 sources82.1%n=652

By population density band

Dense urban68.1%n=872
Urban70.5%n=943
Suburban70.3%n=333
Rural75.0%n=16

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/netherlands-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
IndiaINM1 69.3%2026-08-03

Entity agreement by category

Entity agreement (M1) per category for India
Education
Primary School75.0% ±9.6n=76
Secondary School74.3% ±9.8n=74
University60.0% ±12.5n=55
Food & Drink
Restaurant77.1% ±9.7n=70
Cafe73.1% ±11.7n=52
Bar56.6% ±12.9n=53
Bakery61.9% ±11.7n=63
Meal Takeaway35.1% ±14.7n=37
Groceries
Supermarket72.7% ±9.8n=77
Grocery Store61.5% ±23.4n=13
Convenience Store63.6% ±12.3n=55
Health
Pharmacy82.2% ±8.7n=73
Doctor54.5% ±12.7n=55
Dentist82.1% ±8.4n=78
Hospital77.9% ±9.1n=77
Veterinary Care72.1% ±11.0n=61
Leisure
Gym73.4% ±10.6n=64
Park50.0% ±11.4n=70
Museum67.1% ±10.5n=73
Tourist Attraction53.2% ±10.9n=77
Lodging76.0% ±9.5n=75
Place Of Worship71.1% ±9.6n=83
Money
Bank83.6% ±8.5n=73
ATM67.5% ±13.9n=40
Post Office46.4% ±17.3n=28
Retail & Transport
Clothing Store72.1% ±10.4n=68
Hair Salon74.1% ±11.0n=58
Gas Station85.4% ±7.3n=89
Car Repair76.2% ±10.3n=63
Transit Station53.3% ±11.0n=75

By number of contributing sources

1 source64.1%n=1101
2 sources76.1%n=666
3 sources78.3%n=138

By population density band

Dense urban69.2%n=1350
Urban72.4%n=362
Suburban64.7%n=170
Rural65.2%n=23

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/asia/india-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset
Census & demographics
Not available
Public transport
TravelTime public transport network
United KingdomGBM1 69.2%2026-07-28

Entity agreement by category

Entity agreement (M1) per category for United Kingdom
Education
Primary School66.7% ±9.4n=93
Secondary School36.8% ±9.9n=87
University60.5% ±10.7n=76
Food & Drink
Restaurant78.6% ±9.5n=70
Cafe78.1% ±9.4n=73
Bar77.6% ±9.2n=76
Bakery71.9% ±10.8n=64
Meal Takeaway52.9% ±15.9n=34
Groceries
Supermarket80.0% ±8.0n=95
Grocery Store78.8% ±8.9n=80
Convenience Store73.4% ±9.6n=79
Health
Pharmacy75.0% ±9.1n=84
Doctor75.9% ±9.1n=83
Dentist72.7% ±9.2n=88
Hospital62.2% ±9.8n=90
Veterinary Care76.4% ±9.7n=72
Leisure
Gym64.3% ±11.0n=70
Park45.2% ±11.1n=73
Museum67.6% ±10.4n=74
Tourist Attraction50.0% ±11.4n=70
Lodging82.5% ±8.3n=80
Place Of Worship72.7% ±9.2n=88
Money
Bank79.0% ±10.0n=62
ATM75.9% ±10.8n=58
Post Office56.9% ±11.1n=72
Retail & Transport
Clothing Store70.7% ±11.4n=58
Hair Salon79.0% ±10.0n=62
Gas Station54.3% ±11.4n=70
Car Repair58.9% ±12.5n=56
Transit Station87.9% ±6.5n=99

By number of contributing sources

1 source52.8%n=604
2 sources66.5%n=713
3 sources82.2%n=919

By population density band

Dense urban70.9%n=1308
Urban67.0%n=772
Suburban65.5%n=145
Rural81.8%n=11

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/united-kingdom-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
SwedenSEM1 68.4%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for Sweden
Education
Primary School63.2% ±9.5n=95
Secondary School56.5% ±9.9n=92
University58.1% ±11.0n=74
Food & Drink
Restaurant73.4% ±10.6n=64
Cafe58.8% ±11.4n=68
Bar70.2% ±11.6n=57
Bakery72.2% ±11.6n=54
Meal Takeaway71.4% ±13.2n=42
Groceries
Supermarket78.7% ±8.4n=89
Grocery Store77.0% ±10.4n=61
Convenience Store73.5% ±10.3n=68
Health
Pharmacy65.9% ±9.7n=88
Doctor67.2% ±11.5n=61
Dentist69.5% ±11.4n=59
Hospital58.8% ±10.2n=85
Veterinary Care57.4% ±13.6n=47
Leisure
Gym73.3% ±9.8n=75
Park50.8% ±11.8n=65
Museum59.2% ±11.1n=71
Tourist Attraction48.0% ±11.0n=75
Lodging76.1% ±9.8n=71
Place Of Worship85.9% ±7.1n=92
Money
Bank78.6% ±10.6n=56
ATM91.3% ±5.9n=92
Post Office65.6% ±11.3n=64
Retail & Transport
Clothing Store51.4% ±15.3n=37
Hair Salon57.1% ±13.4n=49
Gas Station78.7% ±9.2n=75
Car Repair61.2% ±13.2n=49
Transit Station78.8% ±8.0n=99

By number of contributing sources

1 source62.4%n=856
2 sources66.0%n=611
3 sources79.2%n=607

By population density band

Dense urban68.4%n=1738
Urban70.5%n=271
Suburban58.3%n=60
Rural60.0%n=5

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/sweden-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
FranceFRM1 67.8%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for France
Education
Primary School38.8% ±10.4n=80
Secondary School43.5% ±9.9n=92
University42.3% ±10.7n=78
Food & Drink
Restaurant84.4% ±8.1n=77
Cafe82.4% ±8.6n=74
Bar73.6% ±10.0n=72
Bakery74.0% ±9.6n=77
Meal Takeaway55.6% ±15.4n=36
Groceries
Supermarket75.6% ±9.0n=86
Grocery Store76.3% ±9.4n=76
Convenience Store82.1% ±8.1n=84
Health
Pharmacy74.4% ±9.3n=82
Doctor69.4% ±10.4n=72
Dentist73.8% ±10.8n=61
Hospital49.4% ±10.5n=83
Veterinary Care73.6% ±10.0n=72
Leisure
Gym78.4% ±9.3n=74
Park50.8% ±12.0n=63
Museum62.5% ±10.4n=80
Tourist Attraction65.5% ±11.9n=58
Lodging86.2% ±7.3n=87
Place Of Worship86.8% ±7.6n=76
Money
Bank66.7% ±10.2n=78
ATM86.7% ±7.3n=83
Post Office29.6% ±9.8n=81
Retail & Transport
Clothing Store71.4% ±10.9n=63
Hair Salon73.8% ±10.8n=61
Gas Station62.1% ±11.4n=66
Car Repair68.4% ±11.7n=57
Transit Station72.7% ±9.2n=88

By number of contributing sources

1 source60.2%n=942
2 sources67.0%n=679
3 sources80.7%n=596

By population density band

Dense urban68.3%n=1381
Urban67.2%n=634
Suburban67.0%n=188
Rural57.1%n=14

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/france-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
PolandPLM1 66.7%2026-08-01

Entity agreement by category

Entity agreement (M1) per category for Poland
Education
Primary School50.6% ±10.2n=89
Secondary School60.0% ±11.2n=70
University63.0% ±10.3n=81
Food & Drink
Restaurant86.4% ±8.8n=59
Cafe74.3% ±9.8n=74
Bar82.1% ±9.1n=67
Bakery68.4% ±11.7n=57
Meal Takeaway62.7% ±12.8n=51
Groceries
Supermarket89.9% ±6.4n=89
Grocery Store67.6% ±15.0n=34
Convenience Store87.5% ±7.3n=80
Health
Pharmacy72.4% ±9.2n=87
Doctor62.4% ±10.1n=85
Dentist76.2% ±9.0n=84
Hospital51.2% ±10.5n=84
Veterinary Care74.7% ±9.0n=87
Leisure
Gym72.7% ±9.8n=77
Park45.5% ±11.7n=66
Museum57.8% ±10.0n=90
Tourist Attraction73.0% ±10.7n=63
Lodging67.4% ±9.7n=86
Place Of Worship66.2% ±10.3n=77
Money
Bank35.8% ±12.5n=53
ATM66.7% ±10.6n=72
Post Office37.1% ±11.7n=62
Retail & Transport
Clothing Store76.9% ±12.8n=39
Hair Salon64.3% ±12.2n=56
Gas Station67.2% ±11.2n=64
Car Repair61.3% ±16.2n=31
Transit Station76.2% ±17.2n=21

By number of contributing sources

1 source65.1%n=1034
2 sources65.2%n=618
3 sources73.6%n=383

By population density band

Dense urban66.9%n=1497
Urban67.4%n=389
Suburban66.2%n=133
Rural43.8%n=16

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/poland-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
National census and income statistics
Public transport
TravelTime public transport network
TürkiyeTRM1 59.0%2026-07-31

Entity agreement by category

Entity agreement (M1) per category for Türkiye
Education
Primary School56.5% ±10.3n=85
Secondary School63.0% ±10.3n=81
University59.5% ±10.9n=74
Food & Drink
Restaurant66.7% ±11.3n=63
Cafe54.5% ±16.1n=33
Bar47.8% ±18.9n=23
Bakery60.9% ±13.6n=46
Meal Takeaway33.3% ±20.0n=18
Groceries
Supermarket73.2% ±9.4n=82
Grocery Store80.6% ±9.4n=67
Convenience Store71.4% ±14.4n=35
Health
Pharmacy62.7% ±10.7n=75
Doctor49.2% ±11.8n=65
Dentist58.5% ±11.7n=65
Hospital52.9% ±11.4n=70
Veterinary Care79.1% ±9.6n=67
Leisure
Gym44.4% ±13.9n=45
Park31.4% ±14.7n=35
Museum55.4% ±12.6n=56
Tourist Attraction34.7% ±12.9n=49
Lodging53.8% ±14.9n=39
Place Of Worship55.6% ±11.9n=63
Money
Bank55.4% ±11.7n=65
ATM49.3% ±11.3n=71
Post Office44.3% ±11.3n=70
Retail & Transport
Clothing Store65.8% ±14.4n=38
Hair Salon50.0% ±14.8n=40
Gas Station69.6% ±11.7n=56
Car Repair67.5% ±13.9n=40
Transit Station70.7% ±9.2n=92

By number of contributing sources

1 source50.8%n=787
2 sources63.9%n=706
3 sources72.6%n=215

By population density band

Dense urban59.4%n=1452
Urban55.2%n=212
Suburban62.8%n=43
Rural100.0%n=1

Where the data comes from

Base datasets
  • Foursquare OS PlacesGlobal release via the Foursquare Places Portal Iceberg catalog
  • OpenStreetMaphttps://download.geofabrik.de/europe/turkey-latest.osm.pbf
  • Overture MapsPublic GeoParquet release, filtered to the country bounding box
Government registers
No government registers integrated yet
Population
Kontur Population Dataset · WorldPop population raster
Census & demographics
Not available
Public transport
TravelTime public transport network

Method: population-weighted H3 sampling across each country, roughly 3,000 samples per country, adjudicated with the same entity rule the production pipeline uses (50 m and a name-similarity floor). Reports generated 2026-07-28 to 2026-08-03.