Walked to Work by Community Area — Chicago

Map and ranking of Walked to Work across Chicago's 77 neighborhoods. Highest: Loop (42.5%). Lowest: Montclare (0%). Chicago avg: 7.4%. Data: 2020–2024.
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Walked to Work · all 77 Chicago neighborhoods · 2020–24

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2020–2024 5-year ACS estimate.

Citywide overview
All neighborhoods
Chicago citywide · Walked to Work 7.4%
Highest community area Loop: 42.5%
Lowest community area Montclare: 0%
RogersParkWestRidgeUptownLincolnSquareNorthCenterLakeViewLincolnParkNear NorthSideEdisonParkNorwoodParkJeffersonParkForestGlenNorthParkAlbanyParkPortageParkIrvingParkDunningMontclareBelmontCraginHermosaAvondaleLoganSquareHumboldtParkWestTownAustinWest GarfieldParkEast GarfieldParkNear WestSideNorthLawndaleSouthLawndaleLower WestSideLoopNear SouthSideArmourSquareDouglasOaklandFullerParkGrandBoulevardKenwoodWashingtonParkHydeParkWoodlawnSouthShoreChathamAvalonParkSouthChicagoBurnsideCalumetHeightsRoselandPullmanSouthDeeringEastSideWestPullmanRiverdaleHegewischGarfieldRidgeArcherHeightsBrightonParkMcKinleyParkBridgeportNew City(Back of the Yards)WestElsdonGageParkClearingWestLawnChicagoLawnWestEnglewoodEnglewoodGreater GrandCrossingAshburnAuburnGreshamBeverlyWashingtonHeightsMountGreenwoodMorganParkO'HareEdgewater

Note: The mode shares (drove alone, carpooled, transit, walked, biked, other) are shares of workers who commute to a workplace. Worked From Home is a share of all workers, so it is not part of the mode shares and they do not add up with it to 100%.

Universe: Workers 16 years and over who commute to work (excludes those working from home) · Geography: Census Block Group · Source: U.S. Census Bureau, American Community Survey 2020–2024 5-Year Estimates

Community Area distribution Hover or click any dot to inspect
Min 0% 25th pct 2% Median 3% 75th pct 5% Max 42%

Community Area ranking: Walked to Work (2020–24)

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#1 Loop 42.5%+35.1 pts
#2 Near North Side 35.1%+27.8 pts
#3 Hyde Park 33.7%+26.4 pts
#4 Near West Side 31.3%+24 pts
#5 Woodlawn 14%+6.7 pts
#6 Armour Square 13.8%+6.4 pts
#7 Kenwood 13%+5.6 pts
#8 Lincoln Park 8.3%+0.9 pts
#9 Edgewater 8%+0.7 pts
#10 South Lawndale 7.8%+0.5 pts
#11 Lake View 7.7%+0.3 pts
#12 Rogers Park 7.4%+0.1 pts
#13 Uptown 7.2%-0.2 pts
#14 Douglas 6.6%-0.7 pts
#15 West Town 6.5%-0.9 pts
#16 Albany Park 6.4%-1 pts
#17 Lincoln Square 6.3%-1 pts
#18 Archer Heights 6%-1.3 pts
#19 Lower West Side 5.5%-1.9 pts
#20 North Center 5.2%-2.2 pts
#21 Near South Side 5.1%-2.3 pts
#22 West Ridge 4.6%-2.8 pts
#23 Avondale 4.5%-2.8 pts
#24 North Park 4.4%-3 pts
#25 Bridgeport 4.3%-3 pts
#26 South Chicago 4.1%-3.2 pts
#27 Logan Square 4%-3.3 pts
#28 Avalon Park 3.9%-3.4 pts
#29 Edison Park 3.7%-3.6 pts
#30 Hermosa 3.7%-3.6 pts
#31 Humboldt Park 3.7%-3.7 pts
#32 Fuller Park 3.6%-3.7 pts
#33 West Pullman 3.6%-3.8 pts
#34 West Garfield Park 3.5%-3.8 pts
#35 Brighton Park 3.1%-4.2 pts
#36 Englewood 3.1%-4.3 pts
#37 New City (Back of the Yards) 3%-4.3 pts
#38 Beverly 2.9%-4.5 pts
#39 Norwood Park 2.8%-4.6 pts
#40 Grand Boulevard 2.7%-4.6 pts
#41 Forest Glen 2.6%-4.7 pts
#42 Austin 2.6%-4.8 pts
#43 East Side 2.6%-4.8 pts
#44 West Elsdon 2.5%-4.8 pts
#45 Jefferson Park 2.5%-4.9 pts
#46 South Shore 2.4%-4.9 pts
#47 Belmont Cragin 2.3%-5.1 pts
#48 Greater Grand Crossing 2.2%-5.1 pts
#49 Irving Park 2.2%-5.2 pts
#50 McKinley Park 2.1%-5.2 pts
#51 East Garfield Park 2%-5.4 pts
#52 Roseland 1.9%-5.4 pts
#53 Portage Park 1.9%-5.5 pts
#54 Auburn Gresham 1.8%-5.5 pts
#55 Clearing 1.7%-5.6 pts
#56 Garfield Ridge 1.7%-5.7 pts
#57 Chatham 1.7%-5.7 pts
#58 South Deering 1.6%-5.8 pts
#59 Mount Greenwood 1.5%-5.9 pts
#60 Gage Park 1.5%-5.9 pts
#61 O'Hare 1.4%-6 pts
#62 Riverdale 1.4%-6 pts
#63 Pullman 1.3%-6 pts
#64 West Englewood 1.3%-6.1 pts
#65 North Lawndale 1.3%-6.1 pts
#66 Morgan Park 1.3%-6.1 pts
#67 Calumet Heights 1.2%-6.1 pts
#68 Dunning 1%-6.4 pts
#69 Washington Park 0.8%-6.5 pts
#70 West Lawn 0.8%-6.5 pts
#71 Ashburn 0.6%-6.7 pts
#72 Chicago Lawn 0.5%-6.8 pts
#73 Oakland 0.5%-6.9 pts
#74 Washington Heights 0.4%-7 pts
#75 Hegewisch 0.3%-7 pts
#76 Montclare 0%-7.4 pts
#77 Burnside 0%-7.4 pts
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