United States of America

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

Main files

  • [us.pbf] - for osm2pgsql, Osmium, Osmosis, imposm, mkgmap, and others. This file was last modified -01 hours ago and contains all OSM data up to May 25 2025 10:58:48. File size: 9.17GB; MD5 sum: f9fc0d343d6857baebda00a7e2d3e322.

Additional Files

Sub regions

Region .pbf .poly
Alabama[alabama.pbf] (110.42MB)[alabama.poly]
Alaska[alaska.pbf] (123.41MB)[alaska.poly]
Arizona[arizona.pbf] (233.08MB)[arizona.poly]
Arkansas[arkansas.pbf] (71.35MB)[arkansas.poly]
California[california.pbf] (1.03GB)[california.poly]
Colorado[colorado.pbf] (282.56MB)[colorado.poly]
Connecticut[connecticut.pbf] (179.51MB)[connecticut.poly]
Delaware[delaware.pbf] (16.52MB)[delaware.poly]
District of Colombia[district-of-columbia.pbf] (16.59MB)[district-of-columbia.poly]
Florida[florida.pbf] (540.69MB)[florida.poly]
Georgia[georgia.pbf] (287.25MB)[georgia.poly]
Hawaii[hawaii.pbf] (19.79MB)[hawaii.poly]
Idaho[idaho.pbf] (93.2MB)[idaho.poly]
Illinois[illinois.pbf] (258.15MB)[illinois.poly]
Indiana[indiana.pbf] (143.37MB)[indiana.poly]
Iowa[iowa.pbf] (106.06MB)[iowa.poly]
Kansas[kansas.pbf] (81.59MB)[kansas.poly]
Kentucky[kentucky.pbf] (121.93MB)[kentucky.poly]
Louisiana[louisiana.pbf] (117.97MB)[louisiana.poly]
Maine[maine.pbf] (72.44MB)[maine.poly]
Maryland[maryland.pbf] (163.67MB)[maryland.poly]
Massachusetts[massachusetts.pbf] (250.13MB)[massachusetts.poly]
Michigan[michigan.pbf] (230.51MB)[michigan.poly]
Minnesota[minnesota.pbf] (215.78MB)[minnesota.poly]
Mississippi[mississippi.pbf] (75.27MB)[mississippi.poly]
Missouri[missouri.pbf] (141.34MB)[missouri.poly]
Montana[montana.pbf] (79.97MB)[montana.poly]
Nebraska[nebraska.pbf] (72.07MB)[nebraska.poly]
Nevada[nevada.pbf] (97.4MB)[nevada.poly]
New Hampshire[new-hampshire.pbf] (51.8MB)[new-hampshire.poly]
New Jersey[new-jersey.pbf] (127.13MB)[new-jersey.poly]
New Mexico[new-mexico.pbf] (105.71MB)[new-mexico.poly]
New York[new-york.pbf] (392.39MB)[new-york.poly]
North Carolina[north-carolina.pbf] (333.99MB)[north-carolina.poly]
North Dakota[north-dakota.pbf] (108.13MB)[north-dakota.poly]
Ohio[ohio.pbf] (233.87MB)[ohio.poly]
Oklahoma[oklahoma.pbf] (131.83MB)[oklahoma.poly]
Oregon[oregon.pbf] (199.33MB)[oregon.poly]
Pennsylvania[pennsylvania.pbf] (255.99MB)[pennsylvania.poly]
Puerto Rico[puerto-rico.pbf] (59.47MB)[puerto-rico.poly]
Rhode Island[rhode-island.pbf] (41.33MB)[rhode-island.poly]
South Carolina[south-carolina.pbf] (125.91MB)[south-carolina.poly]
North Dakota[south-dakota.pbf] (35.33MB)[south-dakota.poly]
Tennessee[tennessee.pbf] (137.86MB)[tennessee.poly]
Texas[texas.pbf] (545.07MB)[texas.poly]
US Virgin Islands[us-virgin-islands.pbf] (2.54MB)[us-virgin-islands.poly]
Utah[utah.pbf] (124.38MB)[utah.poly]
Vermont[vermont.pbf] (32.24MB)[vermont.poly]
Virginia[virginia.pbf] (333.01MB)[virginia.poly]
Washington[washington.pbf] (280.17MB)[washington.poly]
West Virginia[west-virginia.pbf] (76.95MB)[west-virginia.poly]
Wisconsin[wisconsin.pbf] (230.99MB)[wisconsin.poly]
Wyoming[wyoming.pbf] (67.87MB)[wyoming.poly]

Prepared geodata of United States of America in the SHP format

You are getting:

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

Sample of map

 

 

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 = '2'2276
Administrative level 3linesadmin_level = '3'2
Administrative level 4linesadmin_level = '4'5691
Administrative level 5linesadmin_level = '5'112
Administrative level 6linesadmin_level = '6'27068
Administrative level 8linesadmin_level = '8'102131
Administrative level 9linesadmin_level = '9'1246
Administrative level 10linesadmin_level = '10'4400
.$row2[6].
NameTypeOSM TagCount
Countriespolygonsadmin_level = '2'8
Administrative level 4polygonsadmin_level = '4'122
Administrative level 5polygonsadmin_level = '5'8
Administrative level 6polygonsadmin_level = '6'4317
Administrative level 8polygonsadmin_level = '8'33566
Administrative level 9polygonsadmin_level = '9'813
Administrative level 10polygonsadmin_level = '10'3635
Placespolygonsplace = 'city' / place = 'town' / place = 'village' / place = 'hamlet' / place = 'locality' / place = 'suburb' / place = 'island' / place = 'farm' / place = 'isolated_dwelling'42432
.$row2[6].
NameTypeOSM TagCount
Citypolygonsplace = 'city'11366
Townpolygonsplace = 'town'8309
Villagepolygonsplace = 'village'6737
Hamletpolygonsplace = 'hamlet'919
Localitypolygonsplace = 'locality'4456
Suburbpolygonsplace = 'suburb'978
Islandpolygonsplace = 'island'9451
Farmpolygonsplace = 'farm'181
Isolated dwellingpolygonsplace = 'isolated_dwelling'35
Region or countrypolygonsplace = 'region' / place = 'county'1507
NameTypeOSM TagCount
Buildingpointsbuilding is not ''372887
.$row2[6].
NameTypeOSM TagCount
Buildingpolygonsbuilding is not ''58400336
Dominantspolygonsbuilding = 'church' / building = 'government' / building = 'cathedral' / building = 'public' / building = 'hospital' / building = 'train_station' / building = 'chapel' / building = 'college' / building = 'university'117194
Schools and kindergartenspolygonsbuilding = 'school' / building = 'kindergarten'123762
Under constructionpolygonsbuilding = 'construction'6049
.$row2[6].
NameTypeOSM TagCount
bicycle parkingpointsamenity = 'bicycle_parking'57162
policepointsamenity = 'police'7874
fire stationpointsamenity = 'fire_station'15782
post boxpointsamenity = 'post_box'19269
post officepointsamenity = 'post_office'15935
telephonepointsamenity = 'telephone'1921
librarypointsamenity = 'library'8179
townhallpointsamenity = 'townhall'4980
courthousepointsamenity = 'courthouse'1597
prisonpointsamenity = 'prison'637
embassypointsamenity = 'embassy' / office = 'diplomatic'389
community centrepointsamenity = 'community_centre'2205
nursing homepointsamenity = 'nursing_home'1015
arts centrepointsamenity = 'arts_centre'1007
cemeterypointsamenity = 'grave_yard' / landuse = 'cemetery'59830
marketplacepointsamenity = 'marketplace'1349
recyclingpointsamenity = 'recycling'6939
universitypointsamenity = 'university'619
schoolpointsamenity = 'school'74097
kindergartenpointsamenity = 'kindergarten'2712
collegepointsamenity = 'college'1050
pharmacypointsamenity = 'pharmacy'13274
hospitalpointsamenity = 'hospital'940
clinicpointsamenity = 'clinic'7206
doctorspointsamenity = 'doctors'7403
dentistpointsamenity = 'dentist'10431
veterinarypointsamenity = 'veterinary'3155
theatrepointsamenity = 'theatre'3268
nightclubpointsamenity = 'nightclub'826
cinemapointsamenity = 'cinema'1356
swimming poolpointsamenity = 'swimming_pool' / leisure = 'swimming_pool' / sport = 'swimming' / leisure = 'water_park'28367
restaurantpointsamenity = 'restaurant'112327
fast foodpointsamenity = 'fast_food'65571
cafepointsamenity = 'cafe'27960
pubpointsamenity = 'pub'6142
bar, biergartenpointsamenity = 'bar' / amenity = 'biergarten'14725
food courtpointsamenity = 'food_court'572
shelterpointsamenity = 'shelter'12920
car rentalpointsamenity = 'car_rental'2034
car washpointsamenity = 'car_wash'4368
car sharingpointsamenity = 'car_sharing'664
bicycle rentalpointsamenity = 'bicycle_rental'5283
bankpointsamenity = 'bank'19314
atmpointsamenity = 'atm'10546
toiletspointsamenity = 'toilets'30805
benchpointsamenity = 'bench'137190
drinking waterpointsamenity = 'drinking_water'16381
fuelpointsamenity = 'fuel'37421
bus stationpoints/polygonsamenity = 'bus_station'971
taxipoints/polygonsamenity = 'taxi'415
airportpoints/polygonsamenity = 'airport' / aeroway = 'aerodrome' + type is not 'airstrip'257
ferry terminalpoints/polygonsamenity = 'ferry_terminal'802
.$row2[6].
NameTypeOSM TagCount
Christian churchespointsamenity = 'place_of_worship' + religion = 'christian'152427
Synagoguepointsamenity = 'place_of_worship' + religion = 'jewish'743
Mosquepointsamenity = 'place_of_worship' + religion = 'muslim'308
Buddhist templepointsamenity = 'place_of_worship' + religion = 'buddhist'272
Hindu templepointsamenity = 'place_of_worship' + religion = 'hindu'96
Taoist templepointsamenity = 'place_of_worship' + religion = 'taoist'2
Shinto shrinepointsamenity = 'place_of_worship' + religion = 'shinto'7
Sikh templepointsamenity = 'place_of_worship' + religion = 'sikh'22
.$row2[6].
NameTypeOSM TagCount
fishingpointsleisure = 'fishing'1000
playgroundpoints/polygonsleisure = 'playground'14798
sports centrepoints/polygonsleisure = 'sports_centre'4470
stadiumpoints/polygonsleisure = 'stadium'273
trackpointsleisure = 'track'253
ice rinkpoints/polygonsleisure = 'ice_rink'260
marinapointsleisure = 'marina'1347
slipwaypointsleisure = 'slipway'16132
dog parkpointsleisure = 'dog_park'446
golf coursepointsleisure = 'golf_course'551
.$row2[6].
NameTypeOSM TagCount
supermarket, generalpointsshop = 'supermarket' / shop = 'general'15786
bakerypointsshop = 'bakery'5482
kioskpointsshop = 'kiosk'487
mallpointsshop = 'mall'472
department storepointsshop = 'department_store'6023
conveniencepointsshop = 'convenience'29908
clothespointsshop = 'clothes'24803
floristpointsshop = 'florist'2591
chemistpointsshop = 'chemist'1730
bookspointsshop = 'books'3072
butcherpointsshop = 'butcher'998
shoespointsshop = 'shoes'4750
alcohol, beveragespointsshop = 'alcohol' / shop = 'beverages'8442
opticianpointsshop = 'optician'3749
jewelrypointsshop = 'jewelry'5070
giftpointsshop = 'gift'6772
sportspointsshop = 'sports'3554
stationerypointsshop = 'stationery'1538
outdoorpointsshop = 'outdoor'1109
mobile phonepointsshop = 'mobile_phone'10482
toyspointsshop = 'toys'1068
newsagentpointsshop = 'newsagent'360
greengrocerpointsshop = 'greengrocer'815
beautypointsshop = 'beauty'18852
videopointsshop = 'video'210
carpointsshop = 'car'6334
bicyclepointsshop = 'bicycle'2700
doityourself, hardwarpointsshop = 'doityourself' / shop = 'hardware'5392
furniturepointsshop = 'furniture'4982
computerpointsshop = 'computer'973
garden centrepointsshop = 'garden_centre'1628
hairdresserpointsshop = 'hairdresser'22294
car repairpointsshop = 'car_repair'12588
.$row2[6].
NameTypeOSM TagCount
Bowlingpointssport = '10pin' / sport = 'bowling'210
athleticspointssport = 'athletics'150
basketballpointssport = 'basketball'1335
canoepointssport = 'canoe'191
chesspointssport = 'chess'469
cyclingpointssport = 'cycling'110
fitnesspointssport = 'fitness'2840
gymnasticspointssport = 'gymnastics'190
hockeypointssport = 'hockey'14
motorpointssport = 'motor'86
shootingpointssport = 'shooting'362
skatingpointssport = 'skating'17
skiingpointssport = 'skiing'144
soccerpointssport = 'soccer'514
swimmingpointssport = 'swimming'728
table tennispointssport = 'table_tennis'95
tennispointssport = 'tennis'679
horse racingpointssport = 'horse_racing'13
volleyballpointssport = 'volleyball'136
.$row2[6].
NameTypeOSM TagCount
artworkpoints/polygonstourism = 'artwork'20766
attractionpoints/polygonstourism = 'attraction'9815
camp sitepoints/polygonstourism = 'camp_site'21911
caravan sitepoints/polygonstourism = 'caravan_site'2618
guest housepoints/polygonstourism = 'guest_house'1222
hostelpoints/polygonstourism = 'hostel'314
hotelpointstourism = 'hotel'5665
informationpoints/polygonstourism = 'information'42526
motelpoints/polygonstourism = 'motel'3094
museumpoints/polygonstourism = 'museum'4755
picnic sitepointstourism = 'picnic_site'11622
theme parkpoints/polygonstourism = 'theme_park'116
viewpointpointstourism = 'viewpoint'15669
zoopoints/polygonstourism = 'zoo'139
chaletpoints/polygonstourism = 'chalet'555
yespointstourism = 'yes'160
alpine hutpointstourism = 'alpine_hut'110
mappointsinformation = 'map'4778
boardpointsinformation = 'board'15534
guidepostpointsinformation = 'guidepost'11803
monumentpointshistoric = 'monument'6342
memorialpointshistoric = 'memorial'14008
apartmentpointstourism = 'apartment'925
camp pitchpointstourism = 'camp_pitch'25773
gallerypointstourism = 'gallery'1752
wilderness hutpointstourism = 'wilderness_hut'147
.$row2[6].
NameTypeOSM TagCount
Coastlineslines1
Water surfacepolygons1
Land boundariespolygons1
.$row2[6].
NameTypeOSM TagCount
Lakes and large riverspolygonsnatural = 'water' / waterway = 'riverbank'1963459
Wetlandpolygonsnatural = 'wetland'511991
water' and water notpolygonsnatural = 'water' + water is not 'river' + water is not 'reservoir'439175
.$row2[6].
NameTypeOSM TagCount
Canallineswaterway = 'canal'81872
Drainlineswaterway = 'drain'112244
Riverlineswaterway = 'river'289333
Streamlineswaterway = 'stream'4537497
Otherslineswaterway is not ''5353359
.$row2[6].
NameTypeOSM TagCount
Fencelinesbarrier = 'fence'508604
Walllinesbarrier = 'wall'121828
.$row2[6].
NameTypeOSM TagCount
Towerpointsman_made = 'tower'52009
Cell towerpointsman_made = 'tower' + tower:type = 'communication'22424
Water towerpointsman_made = 'water_tower'12828
Lookout towerpointsman_made = 'tower' + tower:type = 'observation'1105
Lighthousepointsman_made = 'lighthouse'592
Water wellpointsman_made = 'water_well'2345
Watermillpointsman_made = 'watermill'47
NameTypeOSM TagCount
Power lineslinespower is not ''246828
.$row2[6].
NameTypeOSM TagCount
Towers Power linespointspower is not ''4117468
.$row2[6].
NameTypeOSM TagCount
Springpointsnatural = 'spring'27771
Peakpointsnatural = 'peak'81247
Volcanopoints/polygonsnatural = 'volcano'1499
Treepointsnatural = 'tree'2455135
Cave entrancepointsnatural = 'cave_entrance'1120
NameTypeOSM TagCount
Citypointsplace = 'city'900
Townpointsplace = 'town'6650
Villagepointsplace = 'village'17827
Hamletpointsplace = 'hamlet'117000
Hamletpointsplace = 'locality'11666
The capitalpointsplace = 'city' + is_capital = 'country' / admin_level = '2' / capital = 'yes' + 'admin_level' is null1
.$row2[6].
NameTypeOSM TagCount
Nature reservepolygonslanduse = 'nature_reserve'15
Allotmentspolygonslanduse = 'allotments'2602
Basinpolygonslanduse = 'basin'14592
Brownfieldpolygonslanduse = 'brownfield'14684
Cemeterypolygonslanduse = 'cemetery'87096
Commercialpolygonslanduse = 'commercial'117024
Constructionpolygonslanduse = 'construction'16427
Farm, farmlandpolygonslanduse = 'farm' / landuse = 'farmland'384409
Farmyardpolygonslanduse = 'farmyard'64687
Forestpolygonslanduse = 'forest' / landuse = 'natural'130084
Garagespolygonslanduse = 'garages'1838
Grasspolygonslanduse = 'grass'950334
Greenfieldpolygonslanduse = 'greenfield'3298
Industrialpolygonslanduse = 'industrial'123132
Landfillpolygonslanduse = 'landfill'2341
Meadowpolygonslanduse = 'meadow'112046
Quarrypolygonslanduse = 'quarry'13623
Railwaypolygonslanduse = 'railway'4008
Recreation groundpolygonslanduse = 'recreation_ground'21923
Reservoirpolygonslanduse = 'reservoir'24685
Residentialpolygonslanduse = 'residential'935129
Retailpolygonslanduse = 'retail'89524
Salt pondpolygonslanduse = 'salt_pond'219
Village greenpolygonslanduse = 'village_green'1194
Vineyardpolygonslanduse = 'vineyard'18587
Plant nurserypolygonslanduse = 'plant_nursery'3732
Educationpolygonslanduse = 'education'1076
Parkpolygonsleisure = 'park'157985
Beachpolygonsnatural = 'beach'14123
Fellpolygonsnatural = 'fell'1934
Grasslandpolygonsnatural = 'grassland'78693
Heathpolygonsnatural = 'heath'16494
Sandpolygonsnatural = 'sand'300286
Scrubpolygonsnatural = 'scrub'166833
Orchardpolygonsnatural = 'orchard'1
.$row2[6].
NameTypeOSM TagCount
Amenitypolygonsamenity is not ''2063508
.$row2[6].
NameTypeOSM TagCount
Leisurepolygonsleisure is not ''1381578
.$row2[6].
NameTypeOSM TagCount
Place of worshippolygonsamenity = 'place_of_worship'96509
Place of worshippolygonsamenity = 'place_of_worship'96509
.$row2[6].
NameTypeOSM TagCount
Shoppolygonsshop is not ''239583
.$row2[6].
NameTypeOSM TagCount
Sportpolygonssport is not ''521740
.$row2[6].
NameTypeOSM TagCount
Tourismpolygonstourism is not ''101210
.$row2[6].
NameTypeOSM TagCount
parkingpolygonsamenity = 'parking'1006186
.$row2[6].
NameTypeOSM TagCount
bus, tram, trolleybuslinesroute = 'bus' / route = 'trolleybus' / route = 'tram' / route = 'share_taxi'90089
subwaylinesroute = 'subway'4878
trainlinesroute = 'train'10700
ferrylinesroute = 'ferry'1228
.$row2[6].
NameTypeOSM TagCount
Platformpolygonsrailway = 'platform'5960
.$row2[6].
NameTypeOSM TagCount
Abandonedlinesrailway = 'abandoned'112884
Constructionlinesrailway = 'construction'1064
Light raillinesrailway = 'light_rail'9032
Narrow gaugelinesrailway = 'narrow_gauge'1596
Platformlinesrailway = 'platform'2056
Railwaylinesrailway = 'rail' + service is null170240
Service railwaylinesrailway = 'rail' + service is not null207913
Subwaylinesrailway = 'subway'12605
tramlinesrailway = 'tram'1970
monoraillinesrailway = 'monorail'1018
miniaturelinesrailway = 'miniature'2752
funicularlinesrailway = 'funicular' / railway = 'rail' + traction = 'funicular'94
.$row2[6].
NameTypeOSM TagCount
Trunklineshighway = 'trunk' / highway = 'trunk_link'288074
Primarylineshighway = 'primary' / highway = 'primary_link'715844
Secondarylineshighway = 'secondary' / highway = 'secondary_link'912323
Tertiarylineshighway = 'tertiary' / highway = 'tertiary_link'954054
Unclassifiedlineshighway = 'unclassified'638644
Residentiallineshighway = 'residential'9300174
Servicelineshighway = 'service'19365411
Footwaylineshighway = 'footway' / highway = 'path' + foot = 'designated'4727057
Constructionlineshighway = 'construction'29152
Roadlineshighway = 'road'3445
Crossinglineshighway = 'crossing'46
Cyclewaylineshighway = 'cycleway' / highway = 'path' + cycle = 'designated'223449
Living streetlineshighway = 'living_street'20422
Pedestrianlineshighway = 'pedestrian'13657
Stepslineshighway = 'steps'97057
Tracklineshighway = 'track'1712432
Bridlewaylineshighway = 'bridleway' / highway = 'path' + horse = 'designated'15286
Racewaylineshighway = 'raceway'4024
.$row2[6].
NameTypeOSM TagCount
Crossingpointshighway = 'crossing' / railway = 'level_crossing'2367809
Traffic signalspointshighway = 'traffic_signals'449985
Mini roundaboutpointshighway = 'mini_roundabout'2289
Stoppointshighway = 'stop'570803
Speed camerapointshighway = 'speed_camera'455
Street lamppointshighway = 'street_lamp'533636
Bus stoppointshighway = 'bus_stop'249929
.$row2[6].
NameTypeOSM TagCount
servicespolygonshighway = 'services'724
NameTypeOSM TagCount
squarepolygonsplace = 'square'568
.$row2[6].
NameTypeOSM TagCount
Stationpointsrailway = 'station'4132
Haltpointsrailway = 'halt'310
Tram stoppointsrailway = 'tram_stop' / public_transport = 'stop_position' + tram = 'yes'1790
Subway entrancepointsrailway = 'subway_entrance'3163
.$row2[6].

 

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