United States of America

Extracts data of United States of America from the OpenstreetMaps project for free

OpenStreetMap vector data for the United States of America provides essential resources for GIS professionals, developers, and researchers conducting large-scale mapping, navigation, spatial analysis, and cartographic projects. This region page offers a free, daily-updated .pbf extract suitable for bulk loading into tools like osm2pgsql or QGIS. For users requiring immediate visualization, an optional paid product includes a ready-to-use QGIS 3 project featuring pre-styled Shapefile or GeoPackage layers and icon sets. The United States of America presents a complex, highly developed geographic landscape characterized by a vast network of interstate highways, diverse urban centers, and extensive rural areas, making it a critical dataset for infrastructure planning and demographic studies.

Main files

  • [us.pbf] - for osm2pgsql, Osmium, Osmosis, imposm, mkgmap, and others. This file was last modified 16 hours ago and contains all OSM data up to October 13 2026 23:00:00 UTC. File size: 12.67GB; MD5 sum: f4a319152a821ff06679181d54a74336.

Additional Files

Sub regions

Region .pbf .poly
Alabama[alabama.pbf] (155.17MB)[alabama.poly]
Alaska[alaska.pbf] (141.6MB)[alaska.poly]
Arizona[arizona.pbf] (314.93MB)[arizona.poly]
Arkansas[arkansas.pbf] (107.56MB)[arkansas.poly]
California[california.pbf] (1.37GB)[california.poly]
Colorado[colorado.pbf] (394.73MB)[colorado.poly]
Connecticut[connecticut.pbf] (221.01MB)[connecticut.poly]
Delaware[delaware.pbf] (23.75MB)[delaware.poly]
District of Colombia[district-of-columbia.pbf] (21.99MB)[district-of-columbia.poly]
Florida[florida.pbf] (677.87MB)[florida.poly]
Georgia[georgia.pbf] (371.85MB)[georgia.poly]
Hawaii[hawaii.pbf] (28.87MB)[hawaii.poly]
Idaho[idaho.pbf] (134.78MB)[idaho.poly]
Illinois[illinois.pbf] (380.2MB)[illinois.poly]
Indiana[indiana.pbf] (212.63MB)[indiana.poly]
Iowa[iowa.pbf] (139.42MB)[iowa.poly]
Kansas[kansas.pbf] (122.6MB)[kansas.poly]
Kentucky[kentucky.pbf] (160.23MB)[kentucky.poly]
Louisiana[louisiana.pbf] (149.48MB)[louisiana.poly]
Maine[maine.pbf] (93.65MB)[maine.poly]
Maryland[maryland.pbf] (224.85MB)[maryland.poly]
Massachusetts[massachusetts.pbf] (325.31MB)[massachusetts.poly]
Michigan[michigan.pbf] (330.66MB)[michigan.poly]
Minnesota[minnesota.pbf] (294.48MB)[minnesota.poly]
Mississippi[mississippi.pbf] (97.86MB)[mississippi.poly]
Missouri[missouri.pbf] (210.57MB)[missouri.poly]
Montana[montana.pbf] (103.03MB)[montana.poly]
Nebraska[nebraska.pbf] (104.54MB)[nebraska.poly]
Nevada[nevada.pbf] (126.23MB)[nevada.poly]
New Hampshire[new-hampshire.pbf] (76.27MB)[new-hampshire.poly]
New Jersey[new-jersey.pbf] (176.4MB)[new-jersey.poly]
New Mexico[new-mexico.pbf] (141.83MB)[new-mexico.poly]
New York[new-york.pbf] (513.31MB)[new-york.poly]
North Carolina[north-carolina.pbf] (457.33MB)[north-carolina.poly]
North Dakota[north-dakota.pbf] (126.35MB)[north-dakota.poly]
Ohio[ohio.pbf] (348.27MB)[ohio.poly]
Oklahoma[oklahoma.pbf] (176.55MB)[oklahoma.poly]
Oregon[oregon.pbf] (266.43MB)[oregon.poly]
Pennsylvania[pennsylvania.pbf] (371.33MB)[pennsylvania.poly]
Puerto Rico[puerto-rico.pbf] (79.84MB)[puerto-rico.poly]
Rhode Island[rhode-island.pbf] (53.7MB)[rhode-island.poly]
South Carolina[south-carolina.pbf] (173.83MB)[south-carolina.poly]
North Dakota[south-dakota.pbf] (51.07MB)[south-dakota.poly]
Tennessee[tennessee.pbf] (204.82MB)[tennessee.poly]
Texas[texas.pbf] (771.36MB)[texas.poly]
US Virgin Islands[us-virgin-islands.pbf] (3.43MB)[us-virgin-islands.poly]
Utah[utah.pbf] (176.7MB)[utah.poly]
Vermont[vermont.pbf] (47.09MB)[vermont.poly]
Virginia[virginia.pbf] (444.26MB)[virginia.poly]
Washington[washington.pbf] (381.89MB)[washington.poly]
West Virginia[west-virginia.pbf] (100.91MB)[west-virginia.poly]
Wisconsin[wisconsin.pbf] (303.33MB)[wisconsin.poly]
Wyoming[wyoming.pbf] (96.02MB)[wyoming.poly]

Prepared geodata of United States of America

You are getting:

  • Fresh geo data from the Openstreetmap project in ESRI Shape or Geopackage format
  • If necessary, we can provide data in the following formats: GeoJSON, CSV, TAB
  • Ready-made project for the QGIS 3 mapping program
  • Styles for all layers
  • 150+ icons

Samples of maps

 

 

United States of America map layers

Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • religion — religion field value
  • amenity — amenity field value
  • landuse — landuse field value
  • leisure — leisure field value
  • sport — sport field value
  • type — type field value
  • way — Geometry
Amenity (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • religion — religion field value
  • amenity — amenity field value
  • landuse — landuse field value
  • leisure — leisure field value
  • sport — sport field value
  • type — type field value
  • way — Geometry
Amenity (points)
Fields of layer:
  • osm_id — ID in OSM base
  • barrier — barrier field value
  • way — Geometry
Barriers (lines)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • admin_level - Grade of administrative level
  • way — Geometry
Boundary (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • admin_level - Grade of administrative level
  • way — Geometry
Boundary (lines)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • building — building field value
  • b_level — building:levels field value
  • a_numb — addr:housenumber field value
  • way — Geometry
Building
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • building — building field value
  • b_level — building:levels field value
  • a_numb — addr:housenumber field value
  • way — Geometry
Buildings (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • natural — Natural field value
  • landuse — Landuse field value
  • wood — Wood field is not null
  • leisure — Leisure field value
  • way — Geometry
Surfaces and land use
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • leisure — leisure field value
  • way — Geometry
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • leisure — leisure field value
  • way — Geometry
Leisure (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • man_made — man_made field valu
  • tower_type — tower:type field value
  • way — Geometry
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • natural — natural field value
  • way — Geometry
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • AMENITY — AMENITY field value
  • way — Geometry
Parking (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • AMENITY — AMENITY field value
  • way — Geometry
Parking (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • place — place field value
  • official_s — official_status field value
  • POPULATION — POPULATION field value
  • way — Geometry
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • place — place field value
  • official_s — official_status field value
  • POPULATION — POPULATION field value
  • is_capital — is_capital field value
  • admin_level — Administrative grade value
  • capital — capital field value
  • way — Geometry
Places (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • POWER — POWER field value
  • VOLTAGE — VOLTAGE field value
  • way — Geometry
Power lines
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • POWER — POWER field value
  • VOLTAGE — VOLTAGE field value
  • way — Geometry
Power line towers
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • RAILWAY — RAILWAY field value
  • way — Geometry
Railway platforms
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • RAILWAY — RAILWAY field value
  • traction — traction field value
  • service — service field value
  • BRIDGE — BRIDGE field value
  • TUNNEL — TUNNEL field value
  • way — Geometry
Railways
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • RAILWAY — RAILWAY field value
  • public_transport — public_transport field value
  • tram — tram field value
  • station — station field value
  • way — Geometry
Railways (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • religion — religion field value
  • way — Geometry
Religion (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • religion — religion field value
  • way — Geometry
Religion (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • ref — ref field value
  • HIGHWAY — HIGHWAY field value
  • way — Geometry
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • ref — ref field value
  • HIGHWAY — HIGHWAY field value
  • cycle — cycle field value
  • horse — horse field value
  • foot — foot field value
  • lanes — lanes field value
  • toll — toll field value
  • width — width field value
  • way — Geometry
Roads
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • HIGHWAY — HIGHWAY field value
  • railway — railway field value
  • way — Geometry
Road infrastructure
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • shop — shop field value
  • way — Geometry
Shop (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • shop — shop field value
  • way — Geometry
Shops (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • sport — sport field value
  • way — Geometry
Sport (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • sport — sport field value
  • way — Geometry
Sport (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • TOURISM — TOURISM field value
  • information — information field value
  • historic — historic field value
  • way — Geometry
Tourism (areas)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • TOURISM — TOURISM field value
  • information — information field value
  • historic — historic field value
  • way — Geometry
Tourism (points)
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • ROUTE — ROUTE field value
  • REF — REF field value
  • OPERATOR — OPERATOR field value
  • way — Geometry
Routes
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • WATERWAY — WATERWAY field value
  • way — Geometry
Streams and ditches
Fields of layer:
  • osm_id — ID in OSM base
  • name — Local name
  • name_en — Name in English
  • natural — Natural field value
  • landuse — Landuse field value
  • water — Water field is not null
  • waterway — Waterway field value
  • way — Geometry
Lakes, swamps and large rivers
Fields of layer:
  • id — Local ID
Coastline
Fields of layer:
  • id — Local ID
Land border
Fields of layer:
  • id — Local ID
Ocean border

Legend of map of United States of America and sample project

Statistics on objects in the United States of America

NameTypeOSM TagCount
Countrieslinesadmin_level = '2'1341
Administrative level 3linesadmin_level = '3'2
Administrative level 4linesadmin_level = '4'1937
Administrative level 5linesadmin_level = '5'11
Administrative level 6linesadmin_level = '6'8750
Administrative level 8linesadmin_level = '8'14465
Administrative level 9linesadmin_level = '9'2199
Administrative level 10linesadmin_level = '10'1574
.$row2[6].
NameTypeOSM TagCount
Countriespolygonsadmin_level = '2'17
Administrative level 3polygonsadmin_level = '3'1
Administrative level 4polygonsadmin_level = '4'76
Administrative level 5polygonsadmin_level = '5'7
Administrative level 6polygonsadmin_level = '6'3387
Administrative level 8polygonsadmin_level = '8'29972
Administrative level 9polygonsadmin_level = '9'1272
Administrative level 10polygonsadmin_level = '10'4339
Placespolygonsplace = 'city' / place = 'town' / place = 'village' / place = 'hamlet' / place = 'locality' / place = 'suburb' / place = 'island' / place = 'farm' / place = 'isolated_dwelling'19251
.$row2[6].
NameTypeOSM TagCount
Citypolygonsplace = 'city'1710
Townpolygonsplace = 'town'2014
Villagepolygonsplace = 'village'2346
Hamletpolygonsplace = 'hamlet'735
Localitypolygonsplace = 'locality'2154
Suburbpolygonsplace = 'suburb'475
Islandpolygonsplace = 'island'9497
Farmpolygonsplace = 'farm'234
Isolated dwellingpolygonsplace = 'isolated_dwelling'86
Region or countrypolygonsplace = 'region' / place = 'county'313
NameTypeOSM TagCount
Buildingpointsbuilding is not ''389235
.$row2[6].
NameTypeOSM TagCount
Buildingpolygonsbuilding is not ''80220054
Dominantspolygonsbuilding = 'church' / building = 'government' / building = 'cathedral' / building = 'public' / building = 'hospital' / building = 'train_station' / building = 'chapel' / building = 'college' / building = 'university'154992
Schools and kindergartenspolygonsbuilding = 'school' / building = 'kindergarten'151036
Under constructionpolygonsbuilding = 'construction'10932
.$row2[6].
NameTypeOSM TagCount
bicycle parkingpointsamenity = 'bicycle_parking'113210
policepointsamenity = 'police'7813
fire stationpointsamenity = 'fire_station'14565
post boxpointsamenity = 'post_box'27524
post officepointsamenity = 'post_office'16588
telephonepointsamenity = 'telephone'2053
librarypointsamenity = 'library'6513
townhallpointsamenity = 'townhall'4740
courthousepointsamenity = 'courthouse'1429
prisonpointsamenity = 'prison'609
embassypointsamenity = 'embassy' / office = 'diplomatic'513
community centrepointsamenity = 'community_centre'3303
nursing homepointsamenity = 'nursing_home'1034
arts centrepointsamenity = 'arts_centre'1364
cemeterypointsamenity = 'grave_yard' / landuse = 'cemetery'27296
marketplacepointsamenity = 'marketplace'1822
recyclingpointsamenity = 'recycling'13209
universitypointsamenity = 'university'754
schoolpointsamenity = 'school'61106
kindergartenpointsamenity = 'kindergarten'3370
collegepointsamenity = 'college'1165
pharmacypointsamenity = 'pharmacy'15060
hospitalpointsamenity = 'hospital'946
clinicpointsamenity = 'clinic'13182
doctorspointsamenity = 'doctors'11499
dentistpointsamenity = 'dentist'17838
veterinarypointsamenity = 'veterinary'5010
theatrepointsamenity = 'theatre'4110
nightclubpointsamenity = 'nightclub'1052
cinemapointsamenity = 'cinema'1317
swimming poolpointsamenity = 'swimming_pool' / leisure = 'swimming_pool' / sport = 'swimming' / leisure = 'water_park'178349
restaurantpointsamenity = 'restaurant'148426
fast foodpointsamenity = 'fast_food'90627
cafepointsamenity = 'cafe'38959
pubpointsamenity = 'pub'7307
bar, biergartenpointsamenity = 'bar' / amenity = 'biergarten'19011
food courtpointsamenity = 'food_court'761
shelterpointsamenity = 'shelter'16969
car rentalpointsamenity = 'car_rental'2863
car washpointsamenity = 'car_wash'5909
car sharingpointsamenity = 'car_sharing'491
bicycle rentalpointsamenity = 'bicycle_rental'7790
laundry, dry cleaningpointsamenity = 'laundry,dry_cleaning'10
bankpointsamenity = 'bank'22381
atmpointsamenity = 'atm'14778
toiletspointsamenity = 'toilets'42472
benchpointsamenity = 'bench'262891
drinking waterpointsamenity = 'drinking_water'25619
fuelpointsamenity = 'fuel'44769
bus stationpoints/polygonsamenity = 'bus_station'2277
taxipoints/polygonsamenity = 'taxi'584
airportpoints/polygonsamenity = 'airport' / aeroway = 'aerodrome' + type is not 'airstrip'16048
ferry terminalpoints/polygonsamenity = 'ferry_terminal'1294
.$row2[6].
NameTypeOSM TagCount
Christian churchespointsamenity = 'place_of_worship' + religion = 'christian'140771
Synagoguepointsamenity = 'place_of_worship' + religion = 'jewish'730
Mosquepointsamenity = 'place_of_worship' + religion = 'muslim'360
Buddhist templepointsamenity = 'place_of_worship' + religion = 'buddhist'324
Hindu templepointsamenity = 'place_of_worship' + religion = 'hindu'133
Taoist templepointsamenity = 'place_of_worship' + religion = 'taoist'6
Shinto shrinepointsamenity = 'place_of_worship' + religion = 'shinto'9
Sikh templepointsamenity = 'place_of_worship' + religion = 'sikh'25
.$row2[6].
NameTypeOSM TagCount
fishingpointsleisure = 'fishing'1783
playgroundpoints/polygonsleisure = 'playground'173718
sports centrepoints/polygonsleisure = 'sports_centre'26764
stadiumpoints/polygonsleisure = 'stadium'6797
trackpointsleisure = 'track'675
ice rinkpoints/polygonsleisure = 'ice_rink'2037
marinapointsleisure = 'marina'1557
slipwaypointsleisure = 'slipway'23368
dog parkpointsleisure = 'dog_park'672
golf coursepointsleisure = 'golf_course'448
.$row2[6].
NameTypeOSM TagCount
supermarket, generalpointsshop = 'supermarket' / shop = 'general'18563
bakerypointsshop = 'bakery'8036
kioskpointsshop = 'kiosk'622
mallpointsshop = 'mall'464
department storepointsshop = 'department_store'6754
conveniencepointsshop = 'convenience'36766
clothespointsshop = 'clothes'35464
floristpointsshop = 'florist'3792
chemistpointsshop = 'chemist'2642
bookspointsshop = 'books'4103
butcherpointsshop = 'butcher'1565
shoespointsshop = 'shoes'6652
alcohol, beveragespointsshop = 'alcohol' / shop = 'beverages'11388
opticianpointsshop = 'optician'5500
jewelrypointsshop = 'jewelry'7533
giftpointsshop = 'gift'9580
sportspointsshop = 'sports'4679
stationerypointsshop = 'stationery'1642
outdoorpointsshop = 'outdoor'1387
mobile phonepointsshop = 'mobile_phone'14018
toyspointsshop = 'toys'1556
newsagentpointsshop = 'newsagent'352
greengrocerpointsshop = 'greengrocer'1017
beautypointsshop = 'beauty'31228
videopointsshop = 'video'209
carpointsshop = 'car'8391
bicyclepointsshop = 'bicycle'3272
doityourself, hardwarpointsshop = 'doityourself' / shop = 'hardware'6536
furniturepointsshop = 'furniture'7038
computerpointsshop = 'computer'1223
garden centrepointsshop = 'garden_centre'2274
hairdresserpointsshop = 'hairdresser'34911
car repairpointsshop = 'car_repair'19290
.$row2[6].
NameTypeOSM TagCount
Bowlingpointssport = '10pin' / sport = 'bowling'251
athleticspointssport = 'athletics'242
basketballpointssport = 'basketball'3258
canoepointssport = 'canoe'138
chesspointssport = 'chess'997
cyclingpointssport = 'cycling'201
fitnesspointssport = 'fitness'4891
gymnasticspointssport = 'gymnastics'261
hockeypointssport = 'hockey'13
motorpointssport = 'motor'82
shootingpointssport = 'shooting'932
skatingpointssport = 'skating'14
skiingpointssport = 'skiing'165
soccerpointssport = 'soccer'273
swimmingpointssport = 'swimming'847
table tennispointssport = 'table_tennis'263
tennispointssport = 'tennis'270
horse racingpointssport = 'horse_racing'15
volleyballpointssport = 'volleyball'183
.$row2[6].
NameTypeOSM TagCount
artworkpoints/polygonstourism = 'artwork'36323
attractionpoints/polygonstourism = 'attraction'17654
camp sitepoints/polygonstourism = 'camp_site'37945
caravan sitepoints/polygonstourism = 'caravan_site'9076
guest housepoints/polygonstourism = 'guest_house'4600
hostelpoints/polygonstourism = 'hostel'551
hotelpointstourism = 'hotel'6160
informationpoints/polygonstourism = 'information'78983
motelpoints/polygonstourism = 'motel'16710
museumpoints/polygonstourism = 'museum'15006
picnic sitepointstourism = 'picnic_site'13473
theme parkpoints/polygonstourism = 'theme_park'884
viewpointpointstourism = 'viewpoint'21822
zoopoints/polygonstourism = 'zoo'706
chaletpoints/polygonstourism = 'chalet'4938
yespointstourism = 'yes'149
alpine hutpointstourism = 'alpine_hut'138
mappointsinformation = 'map'8901
boardpointsinformation = 'board'32082
guidepostpointsinformation = 'guidepost'17941
monumentpointshistoric = 'monument'7346
memorialpointshistoric = 'memorial'36233
apartmentpointstourism = 'apartment'1180
camp pitchpointstourism = 'camp_pitch'67991
gallerypointstourism = 'gallery'3127
wilderness hutpointstourism = 'wilderness_hut'279
.$row2[6].
NameTypeOSM TagCount
Coastlineslines1
Water surfacepolygons1
Land boundariespolygons1
.$row2[6].
NameTypeOSM TagCount
Lakes and large riverspolygonsnatural = 'water' / waterway = 'riverbank'2412342
Wetlandpolygonsnatural = 'wetland'915879
water' and water notpolygonsnatural = 'water' + water is not 'river' + water is not 'reservoir'2193557
.$row2[6].
NameTypeOSM TagCount
Canallineswaterway = 'canal'111235
Drainlineswaterway = 'drain'178862
Riverlineswaterway = 'river'313442
Streamlineswaterway = 'stream'5226888
Otherslineswaterway is not ''6341244
.$row2[6].
NameTypeOSM TagCount
Fencelinesbarrier = 'fence'1070939
Walllinesbarrier = 'wall'243316
.$row2[6].
NameTypeOSM TagCount
Towerpointsman_made = 'tower'43528
Cell towerpointsman_made = 'tower' + tower:type = 'communication'22438
Water towerpointsman_made = 'water_tower'15919
Lookout towerpointsman_made = 'tower' + tower:type = 'observation'1613
Lighthousepointsman_made = 'lighthouse'547
Water wellpointsman_made = 'water_well'3972
Watermillpointsman_made = 'watermill'75
NameTypeOSM TagCount
Power lineslinespower is not ''2578044
.$row2[6].
NameTypeOSM TagCount
Towers Power linespointspower is not ''8935545
.$row2[6].
NameTypeOSM TagCount
Springpointsnatural = 'spring'39205
Peakpointsnatural = 'peak'96138
Volcanopoints/polygonsnatural = 'volcano'1567
Treepointsnatural = 'tree'4205558
Cave entrancepointsnatural = 'cave_entrance'1636
NameTypeOSM TagCount
Citypointsplace = 'city'1106
Townpointsplace = 'town'6736
Villagepointsplace = 'village'19440
Hamletpointsplace = 'hamlet'111347
Hamletpointsplace = 'locality'13491
The capitalpointsplace = 'city' + is_capital = 'country' / admin_level = '2' / capital = 'yes' + 'admin_level' is null1
.$row2[6].
NameTypeOSM TagCount
Nature reservepolygonslanduse = 'nature_reserve'13
Allotmentspolygonslanduse = 'allotments'2971
Basinpolygonslanduse = 'basin'9487
Brownfieldpolygonslanduse = 'brownfield'25109
Cemeterypolygonslanduse = 'cemetery'133606
Commercialpolygonslanduse = 'commercial'198145
Constructionpolygonslanduse = 'construction'26104
Farm, farmlandpolygonslanduse = 'farm' / landuse = 'farmland'710006
Farmyardpolygonslanduse = 'farmyard'133301
Forestpolygonslanduse = 'forest' / landuse = 'natural'174078
Garagespolygonslanduse = 'garages'2642
Grasspolygonslanduse = 'grass'1156438
Greenfieldpolygonslanduse = 'greenfield'4862
Industrialpolygonslanduse = 'industrial'245459
Landfillpolygonslanduse = 'landfill'3489
Meadowpolygonslanduse = 'meadow'259251
Quarrypolygonslanduse = 'quarry'18894
Railwaypolygonslanduse = 'railway'7406
Recreation groundpolygonslanduse = 'recreation_ground'55621
Reservoirpolygonslanduse = 'reservoir'20469
Residentialpolygonslanduse = 'residential'1190752
Retailpolygonslanduse = 'retail'125700
Salt pondpolygonslanduse = 'salt_pond'470
Village greenpolygonslanduse = 'village_green'1161
Vineyardpolygonslanduse = 'vineyard'24458
Plant nurserypolygonslanduse = 'plant_nursery'8706
Educationpolygonslanduse = 'education'2414
Parkpolygonsleisure = 'park'174399
Beachpolygonsnatural = 'beach'19811
Fellpolygonsnatural = 'fell'1954
Grasslandpolygonsnatural = 'grassland'186574
Heathpolygonsnatural = 'heath'52400
Sandpolygonsnatural = 'sand'282278
Scrubpolygonsnatural = 'scrub'341732
.$row2[6].
NameTypeOSM TagCount
Amenitypolygonsamenity is not ''3443965
.$row2[6].
NameTypeOSM TagCount
Leisurepolygonsleisure is not ''1892034
.$row2[6].
NameTypeOSM TagCount
Place of worshippolygonsamenity = 'place_of_worship'127456
Place of worshippolygonsamenity = 'place_of_worship'127456
.$row2[6].
NameTypeOSM TagCount
Shoppolygonsshop is not ''334470
.$row2[6].
NameTypeOSM TagCount
Sportpolygonssport is not ''710291
.$row2[6].
NameTypeOSM TagCount
Tourismpolygonstourism is not ''128698
.$row2[6].
NameTypeOSM TagCount
parkingpolygonsamenity = 'parking'1442148
.$row2[6].
NameTypeOSM TagCount
bus, tram, trolleybuslinesroute = 'bus' / route = 'trolleybus' / route = 'tram' / route = 'share_taxi'18
trainlinesroute = 'train'3
ferrylinesroute = 'ferry'1011
.$row2[6].
NameTypeOSM TagCount
Platformpolygonsrailway = 'platform'6733
.$row2[6].
NameTypeOSM TagCount
Abandonedlinesrailway = 'abandoned'133382
Constructionlinesrailway = 'construction'1094
Light raillinesrailway = 'light_rail'10389
Narrow gaugelinesrailway = 'narrow_gauge'1543
Platformlinesrailway = 'platform'2511
Railwaylinesrailway = 'rail' + service is null182908
Service railwaylinesrailway = 'rail' + service is not null224367
Subwaylinesrailway = 'subway'13490
tramlinesrailway = 'tram'2197
monoraillinesrailway = 'monorail'1106
miniaturelinesrailway = 'miniature'5026
funicularlinesrailway = 'funicular' / railway = 'rail' + traction = 'funicular'176
.$row2[6].
NameTypeOSM TagCount
Trunklineshighway = 'trunk' / highway = 'trunk_link'390150
Primarylineshighway = 'primary' / highway = 'primary_link'917871
Secondarylineshighway = 'secondary' / highway = 'secondary_link'1150881
Tertiarylineshighway = 'tertiary' / highway = 'tertiary_link'1208159
Unclassifiedlineshighway = 'unclassified'808233
Residentiallineshighway = 'residential'9365906
Servicelineshighway = 'service'23840951
Footwaylineshighway = 'footway' / highway = 'path' + foot = 'designated'9859334
Pathlineshighway = 'path' + cycle is not 'designated' + foot is not 'designated' + horse is not 'designated'910488
Constructionlineshighway = 'construction'33628
Roadlineshighway = 'road'1487
Crossinglineshighway = 'crossing'68
Cyclewaylineshighway = 'cycleway' / highway = 'path' + cycle = 'designated'389413
Living streetlineshighway = 'living_street'19300
Pedestrianlineshighway = 'pedestrian'16742
Stepslineshighway = 'steps'161014
Tracklineshighway = 'track'2176304
Bridlewaylineshighway = 'bridleway' / highway = 'path' + horse = 'designated'29629
Racewaylineshighway = 'raceway'7182
.$row2[6].
NameTypeOSM TagCount
Crossingpointshighway = 'crossing' / railway = 'level_crossing'4973008
Traffic signalspointshighway = 'traffic_signals'548286
Mini roundaboutpointshighway = 'mini_roundabout'2503
Stoppointshighway = 'stop'1039522
Speed camerapointshighway = 'speed_camera'1371
Street lamppointshighway = 'street_lamp'1077646
Bus stoppointshighway = 'bus_stop'335918
.$row2[6].
NameTypeOSM TagCount
servicespolygonshighway = 'services'2944
NameTypeOSM TagCount
squarepolygonsplace = 'square'790
.$row2[6].
NameTypeOSM TagCount
Stationpointsrailway = 'station'4061
Haltpointsrailway = 'halt'402
Tram stoppointsrailway = 'tram_stop' / public_transport = 'stop_position' + tram = 'yes'1829
Subway entrancepointsrailway = 'subway_entrance'3689
.$row2[6].

 

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