This dataset contains the current estimated speed for about 1250 segments covering 300 miles of arterial roads. For a more detailed description, go to: http://bit.ly/Q9AZAD.

The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (nonfreeway
streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every ten minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimate by traffic segments gives the observed speed typically for one-half mile of a street in one direction of traffic.

Traffic Segment level congestion is available for about 300 miles of principal arterials. Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area).
This dataset contains the current estimated speed for about 1250 segments covering 300 miles of arterial roads.
There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent
intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes. The segment speed and traffic region congestion estimates
together may give a better understanding of the actual traffic conditions.

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/).

This dataset contains the current estimated congestion for the 29 traffic regions. For a detailed description, go to: http://bitly.com/TeqrNv.

The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (non-freeway streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every 10 minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimates by traffic segments gives observed speed typically for one-half mile of a street in one direction of traffic. Traffic Segment level congestion is available for about 300 miles of principal arterials. Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area).

There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for a relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. Speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes. The segment speed and traffic region congestion estimates together may give a better understanding of the actual traffic conditions.

This dataset contains the historical estimated congestion for over 1,000 traffic segments, starting in approximately March 2018. Older records are in https://data.cityofchicago.org/d/77hq-huss. The most recent estimates for each segment are in https://data.cityofchicago.org/d/n4j6-wkkf.

The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (non-freeway streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every 10 minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimates by traffic segments gives observed speed typically for one-half mile of a street in one direction of traffic. Traffic Segment level congestion is available for about 300 miles of principal arterials.

Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area). There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for a relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. Speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes.

The segment speed and traffic region congestion estimates together may give a better understanding of the actual traffic conditions.

This dataset shows CTA Bus Stop shelters which are slated to have digital signs added to them to show upcoming arrivals. The listing is subject to change.

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/).

This dataset contains the historical estimated congestion for the 29 traffic regions, starting in approximately March 2018. Older records are in https://data.cityofchicago.org/d/emtn-qqdi. The most recent estimates for each segment are in https://data.cityofchicago.org/d/t2qc-9pjd.

The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (non-freeway streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every 10 minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimates by traffic segments gives observed speed typically for one-half mile of a street in one direction of traffic. Traffic Segment level congestion is available for about 300 miles of principal arterials. Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area). There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for a relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. Speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes. The segment speed and traffic region congestion estimates together may give a better understanding of the actual traffic conditions. Current estimates of traffic congestion by region are available at http://bit.ly/103beCf.

Displays several units of energy consumption for households, businesses, and industries in the City of Chicago during 2010. Electric The data was aggregated from ComEd and Peoples Natural Gas by Accenture. Electrical and gas usage data comprises 88 percent of Chicago's buildings in 2010. The electricity data comprises 68 percent of overall electrical usage in the city while gas data comprises 81 percent of all gas consumption in Chicago for 2010.

Census blocks with less than 4 accounts is displayed at the Community Area without further geographic identifiers. This dataset also contains selected variables describing selected characteristics of the Census block population, physical housing, and occupancy.

Note: This map and the underlying dataset are no longer updated but are being kept for historical reference. For the current data, please see https://data.cityofchicago.org/d/hgdw-64h3.

Bike racks in Chicago. To view or use the attachment files, compression software and special GIS software, such as ESRI ArcGIS, is required.

This map and corresponding dataset provide the location, satellite images and square footage of existing green roofs within the City of Chicago. This information is derived from an analysis of high-spatial resolution (50cm), pan-sharpened, ortho-rectified, 8-band multi-spectral satellite images collected by Digital Globe’s Worldview-2 satellite. The City supplied the consultant with a 2009 City boundary shapefile to determine the required extent of the imagery. Acquisition of three different strips of imagery corresponding to the satellite’s paths was required. These strips of imagery spanned three consecutive months and were collected in August 2010 (90% coverage), September 2010 (5% coverage) and October 2010 (5% coverage). The results of the analysis include overall count of vegetated roofs, their total square footage, and the ratio of required to elective vegetated roofs. A total of 359 vegetated roofs were identified within the City of Chicago. The total square footage of these vegetated roofs was calculated to be approximately 5,469,463 square feet. The ratio of required vegetated roofs to elective vegetative roofs was 297:62 (~5:1). The median size of the vegetated roofs was calculated to be 5,234 square feet.

A list of the stations where one can pick up and return bicycles from the Divvy bicycle sharing system (http://divvybikes.com/). For real-time status of stations in machine-readable format, see https://gbfs.divvybikes.com/gbfs/gbfs.json.

The full list of buildings required to comply with the Chicago Energy Benchmarking Ordinance. As of 2016, this list includes all commercial, institutional, and residential buildings larger than 50,000 square feet. The information in this dataset should be used by building owners / managers or other building representatives to determine if your property needs to comply by the annual deadline of June 1st. This data can also be used to look up your property's unique 6-digit Chicago Energy Benchmarking ID, which is required for compliance. (The ID is also included the notification letters sent by the City.)

The Energy Benchmarking Ordinance calls on existing municipal, commercial, and residential buildings larger than 50,000 square feet to track whole-building energy use, report to the City annually, and verify data accuracy every three years. The law, which phases in from 2014-2017, covers less than 1% of Chicago’s buildings, which account for approximately 20% of total energy used by all buildings. For more details, including ordinance text, rules and regulations, and timing, please visit www.CityofChicago.org/EnergyBenchmarking.

Note that the ordinance authorizes the City to make individual building data readily-available to the public, beginning with the second year in which a building is covered. The Covered Buildings List is distinct from the publicly-shared energy use data, and does not include energy use or any other information reported in the benchmarking process. For the building-specific energy use dataset, see https://data.cityofchicago.org/d/xq83-jr8c.

If your property is on this list, and you do not believe you are covered by the ordinance, please submit the appropriate online exemption form at: www.CityofChicago.org/EnergyBenchmarking. If your property is not on the list, and it meets the compliance criteria, please check for any alternative building addresses. If the building is still not found, please submit the Building ID Request Form (http://www.cityofchicago.org/city/en/depts/mayor/iframe/Benchmarking_ID_Request.html). The Chicago Energy Benchmarking Help Center can assist with any other questions, and can be reached at (855)858-6878, or by email: Info@ChicagoEnergyBenchmarking.org.

This dataset will be refreshed periodically as additional information becomes available. It is advisable to use the then-current version of any dataset, if possible.

This dataset shows total daily ridership on a per-route basis dating back to 2001. Daytypes are as follows: W=Weekday, A=Saturday, U=Sunday/Holiday. See attached readme file for more detailed information.

Displays several units of energy consumption for households, businesses, and industries in the City of Chicago during 2010. Electric The data was aggregated from ComEd and Peoples Natural Gas by Accenture. Electrical and gas usage data comprises 88 percent of Chicago's buildings in 2010. The electricity data comprises 68 percent of overall electrical usage in the city while gas data comprises 81 percent of all gas consumption in Chicago for 2010.

Census blocks with less than 4 accounts is displayed at the Community Area without further geographic identifiers. This dataset also contains selected variables describing selected characteristics of the Census block population, physical housing, and occupancy.

This list of 'L' stops provides location and basic service availability information for each place on the CTA system where a train stops, along with formal station names and stop descriptions.

Pedestrian Streets (P-Streets) are segments of street created in Chicago intended to preserve and enhance the character of streets and intersections that are widely recognized as Chicago's best examples of pedestrian-oriented shopping districts.

Note: This dataset is no longer updated but is being kept for historical reference. For the current data, please see https://data.cityofchicago.org/d/hgdw-64h3.

Bike racks in Chicago. To view or use the attachment files, compression software and special GIS software, such as ESRI ArcGIS, is required.

Lines representing approximately where the CTA rail lines are. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS is required. Please see attached .lyr files for symbology.
Projected Coordinate System: NAD_1983_StatePlane_Illinois_East_FIPS_1201_Feet

This dataset gives annual ridership totals dating to the mid-1980s. Numbers are presented in boardings (see attached readme file for information on how these numbers are calculated).

A list of the stations where one can pick up and return bicycles from the Divvy bicycle sharing system (http://divvybikes.com/). This dataset contains all stations. For a list of only those stations currently in service, see https://data.cityofchicago.org/d/67g3-8ig8. For real-time status of stations in machine-readable format, see https://gbfs.divvybikes.com/gbfs/gbfs.json.

This dataset shows approximate, average, weekday boardings by bus stop from the month of October 2012.

Bike routes in Chicago. To view or use these files outside of a web brower, compression software and special GIS software, such as ESRI ArcGIS, is required.

This dataset contains the historical estimated congestion for 1270 traffic segments, in selected time periods from August 2011 to May 2018. Newer records are in https://data.cityofchicago.org/d/sxs8-h27x. The most recent estimates for each segment are in https://data.cityofchicago.org/d/n4j6-wkkf.

The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (non-freeway streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every 10 minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimates by traffic segments gives observed speed typically for one-half mile of a street in one direction of traffic. Traffic Segment level congestion is available for about 300 miles of principal arterials. Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area). There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for a relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. Speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes. The segment speed and traffic region congestion estimates together may give a better understanding of the actual traffic conditions. Current estimates of traffic congestion by region are available at http://bit.ly/Vz3rIh.

The Chicago Building Energy Use Benchmarking Ordinance calls on existing municipal, commercial, and residential buildings larger than 50,000 square feet to track whole-building energy use, report to the City annually, and verify data accuracy every three years. The law, which was phased in from 2014-2017, covers less than 1% of Chicago’s buildings, which account for approximately 20% of total energy used by all buildings. For more details, including ordinance text, rules and regulations, and timing, please visit www.CityofChicago.org/EnergyBenchmarking

The ordinance authorizes the City to share property-specific information with the public, beginning with the second year in which a building is required to comply.

The dataset represents self-reported and publicly-available property information by calendar year. Currently, the data includes calendar year 2014 information for 243 properties, calendar year 2015 information for over 1,500 properties, calendar year 2016 information for over 2,700 properties, and calendar year 2017 information for almost 2,800 properties.

The "Data Year" column and filtered views under "More Views" can be used to isolate specific years.

Parks managed by the Chicago Park District. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required. To download, right-click the "Download" link above and choose "Save link as."