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Average Daily Traffic Counts - 2006

Attribution: City of Chicago · source

This dataset is historical. For recent data, we recommend using https://chicagotraffictracker.com. -- Average Daily Traffic (ADT) counts are analogous to a census count of vehicles on city streets. These counts provide a close approximation to the actual number of vehicles passing through a given location on an average weekday. Since it is not possible to count every vehicle on every city street, sample counts are taken along larger streets to get an estimate of traffic on half-mile or one-mile street segments. ADT counts are used by city planners, transportation engineers, real-estate developers, marketers and many others for myriad planning and operational purposes. Data Owner: Transportation. Time Period: 2006. Frequency: A citywide count is taken approximately every 10 years. A limited number of traffic counts will be taken and added to the list periodically. Related Applications: Traffic Information Interactive Map (http://webapps.cityofchicago.org/traffic/).

trafficstreetssustainabilityhistorical
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Dataset Profile

1.3K
Total records
15
Columns
table
Type
ID: pfsx-4n4m

Popularity

59.4K
Views
42.5K
Downloads
~1.3K rows · 15 columns

Freshness & Tracking

Rows updated15 years ago · 8/20/2011
View modified2 years ago
Created on source4/22/2010
Published4/16/2011
Discovered5/13/2026, 11:38:56 PM
Last checked5/13/2026, 11:38:56 PM
Last changed5/13/2026, 11:38:56 PM
Reads1
Search hits12
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Owner & Attribution

Ownercocadmin
Authorcocadmin
PublisherCity of Chicago

Metadata

Data OwnerTransportation
Time PeriodStudy completed in 2006

Schema (15 columns)

Column metadata from the source provider's own profiling

ColumnTypeCardinalityNullsTop ValuesRange
ID
number1.3K0
20413301070
1 … 1382
Traffic Volume Count Location Address
text1.2K0
20 West210 South299 North
10040 South … 996 South
Street
text2510
Damen AveWestern AveAshland Ave
100th St … Yates Blvd
Date of Count
date950
2006-03-28T08:00:00.2006-10-18T07:00:00.2006-09-19T07:00:00.
2006-02-01T0 … 2007-06-19T0
Total Passing Vehicle Volume
number3980
125001880018200
700 … 165200
Vehicle Volume By Each Direction of Traffic
text1.2K0
North Bound: 6300 / East Bound: 3800 / WEast Bound: 14100 /
East Bound: … West Bound:
Latitude
number1.3K0
41.88136541.79354641.87346
41.651861 … 42.017888
Longitude
number1.3K0
-87.65091-87.666635-87.647091
-87.854842 … -87.529702
Location
location
Boundaries - ZIP Codes
This column was automatically created in order to record in what polygon from the dataset 'Boundaries - ZIP Codes' (rpca-8um6) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
number
Community Areas
This column was automatically created in order to record in what polygon from the dataset 'Community Areas' (vrxf-vc4k) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
number
Zip Codes
This column was automatically created in order to record in what polygon from the dataset 'Zip Codes' (6mkv-f3dw) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
number
Census Tracts
This column was automatically created in order to record in what polygon from the dataset 'Census Tracts' (bdys-3d7i) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
number
Wards
This column was automatically created in order to record in what polygon from the dataset 'Wards' (43wa-7qmu) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
number
Historical Wards 2003-2015
This column was automatically created in order to record in what polygon from the dataset 'Historical Wards 2003-2015' (awaf-s7ux) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.
number

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