Traffic count data downloaded from GDOT public map here: https://gdottrafficdata.drakewell.com/publicmultinodemap.aspRetrieved Annual Statistics Reports: "All Station AADT and Truck Percent Statistics." Mapped by Lat/Long field.Retrieved and rehosted for staff use and overlay on city maps on 12/14/2018."The Georgia Department of Transportation’s Traffic Analysis and Data Application (TADA!) website presents data collected from the Georgia Traffic Monitoring Program located on the public roads in Georgia. The Website uses a dynamic mapping interface to allow the User to access data from the map as well as in a variety of report, graph, and data export formats."

This application serves as an index for traffic counts and provides some basic information; however, full reports and details of counts can be requested by Open Records Requests for a given location. Email questions about the application to GIS@Sandyspringsga.gov

Traffic count data downloaded from GDOT public map here: https://gdottrafficdata.drakewell.com/publicmultinodemap.aspRetrieved Annual Statistics Reports: "All Station AADT and Truck Percent Statistics." Mapped by Lat/Long field.Retrieved and rehosted for staff use and overlay on city maps on 12/14/2018."The Georgia Department of Transportation’s Traffic Analysis and Data Application (TADA!) website presents data collected from the Georgia Traffic Monitoring Program located on the public roads in Georgia. The Website uses a dynamic mapping interface to allow the User to access data from the map as well as in a variety of report, graph, and data export formats."

Georgia_Average_Annual_Daily_Trafffic_2022: Traffic data for selected Georgia road segments between 2020-222. Data obtained from GDOT in 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataRegional Traffic Counts 2019-2022: This layer shows traffic counts in the greater Chattanooga region compiled by ESRI. Traffic counts are widely used by departments of transportation for highway funding or planning purposes.GaRoad Network Truck 2020: Traffic data for selected Georgia road segments in 2020. Data obtained from GDOT in May 2022. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataTN Road Network Traffic 2022: Traffic data for selected TN road segments in 2020-2022. Data obtained from TDOT in May 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT.

Important Note: This item is in mature support as of June 2023 and will be retired in December 2025.This layer shows traffic counts in the United States in a multiscale map. Traffic counts are widely used for site selection by real estate firms and franchises. Traffic counts are also used by departments of transportation for highway funding. This map is best viewed at large scales where you can click on each point to access up to five different traffic counts over time. At medium to small scales, comparisons along major roads are possible. The Business Basemap has been added to provide context at medium and small scales. It shows the location of businesses in the United States and helps to understand where and why traffic counts are collected and used. The pop-up is configured to display the following information:The most recent traffic countThe street name where the count was collectedThey type of count that was taken. See the methodology document for definitions of count types such as AADT - Average Annual Daily Traffic. Traffic Counts seasonally adjusted to represent the average day of the year. AADT counts represent counts taken Sunday—Saturday.A graph displaying up to five traffic counts taken at the same location over time. Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

This layer contains points that highlight traffic counting locations with their associated traffic count observations over several years since 2013 within the City of Johns Creek, GA.Data Note: In 2020, only one direction of traffic was recorded for locations #19, 28, and 34. In the data contained in this layer, that single direction count was duplicated to make year to year comparisons more accurate.

Georgia: Number of 20-foot containers passing through the ports: The latest value from 2021 is 0.4 million containers, a decline from 0.49 million containers in 2020. In comparison, the world average is 8.14 million containers, based on data from 102 countries. Historically, the average for Georgia from 2007 to 2021 is 0.34 million containers. The minimum value, 0.18 million containers, was reached in 2007 while the maximum of 0.6 million containers was recorded in 2019.

Geospatial data about Coweta County, Georgia Traffic Signals. Export to CAD, GIS, PDF, CSV and access via API.

This dataset contains traffic counts along major roads in Cobb County, Georgia.

The evaluation uses three methodologies to rigorously evaluate the causal impact of the program on outcomes. The first is a difference-in-difference methodology, whereby the project roads are matched to a set of similar comparison roads where no intervention has taken place. These comparison roads are chosen from a number of potential candidates using a propensity score matching technique. The difference-in-difference analysis thus compares traffic counts as well as socioeconomic outcomes for residents of communities located near the project roads to those of residents of communities located near the comparison roads. Secondly, the evaluation incorporates a continuous treatment approach. Project impact is modeled in a dose-response framework, so that communities nearer the project roads are assumed to experience greater impacts than those more distant. Finally, the evaluation estimates a matched difference-indifference model, using propensity score matching to improve the comparability between the treatment and comparison groups. Combining these three approaches allows for results from each to be compared in order to ensure a robust set of findings that is not dependent on the assumptions of one particular modeling approach.

Traffic Analysis Zones dataset current as of 2010. TAZ areas in Lowndes County, GA.

Georgia_Average_Annual_Daily_Trafffic_2022: Traffic data for selected Georgia road segments between 2020-222. Data obtained from GDOT in 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataRegional Traffic Counts 2019-2022: This layer shows traffic counts in the greater Chattanooga region compiled by ESRI. Traffic counts are widely used by departments of transportation for highway funding or planning purposes.GaRoad Network Truck 2020: Traffic data for selected Georgia road segments in 2020. Data obtained from GDOT in May 2022. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataTN Road Network Traffic 2022: Traffic data for selected TN road segments in 2020-2022. Data obtained from TDOT in May 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT.

GE: Road Fatalities: 30 days data was reported at 444.000 Person in 2024. This records an increase from the previous number of 434.000 Person for 2023. GE: Road Fatalities: 30 days data is updated yearly, averaging 505.500 Person from Dec 1995 (Median) to 2024, with 24 observations. The data reached an all-time high of 867.000 Person in 2008 and a record low of 430.000 Person in 2022. GE: Road Fatalities: 30 days data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Georgia – Table GE.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Annual. [COVERAGE] Number of road fatalities is defined as the number of road deaths in the 30 days following the accident. [STAT_CONC_DEF] In 1994 and between 2001Q4 and 2006, data are not available. In 1995 and since 2009, monthly data are not available.

Georgia GE: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 11.600 Number in 2015. This records a decrease from the previous number of 16.600 Number for 2010. Georgia GE: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 12.050 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 16.600 Number in 2010 and a record low of 10.800 Number in 2000. Georgia GE: Mortality Caused by Road Traffic Injury: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;

Container port traffic (TEU: 20 foot equivalent units) in Georgia was reported at 401269 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Georgia - Container port traffic (TEU: 20 foot equivalent units) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Georgia GE: Container Port Traffic: TEU (20 Foot Equivalent Units) data was reported at 222,000.000 TEU in 2017. This stayed constant from the previous number of 222,000.000 TEU for 2016. Georgia GE: Container Port Traffic: TEU (20 Foot Equivalent Units) data is updated yearly, averaging 222,000.000 TEU from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 256,000.000 TEU in 2014 and a record low of 181,613.000 TEU in 2009. Georgia GE: Container Port Traffic: TEU (20 Foot Equivalent Units) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Transportation. Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.; ; UNCTAD (http://unctad.org/en/Pages/statistics.aspx); Sum;

Freight Traffic: International: To India: Georgia data was reported at 0.400 Ton in 2014. This records a decrease from the previous number of 6.200 Ton for 2013. Freight Traffic: International: To India: Georgia data is updated yearly, averaging 3.300 Ton from Mar 2013 (Median) to 2014, with 2 observations. The data reached an all-time high of 6.200 Ton in 2013 and a record low of 0.400 Ton in 2014. Freight Traffic: International: To India: Georgia data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TA038: Aviation Statistics: Freight Traffic: International: by Country: To India.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not bedivided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.

This layer contains all aspects of the physical traffic signal infrastructure present in the City of Johns Creek, GA.Traffic signal heads: actual traffic signals in the CityLight sign locations: locations of all lighted signsSignal masts and wires: locations of all mast arms and wires that hold traffic signal heads and other signagePedestrian controls and signals: locations of all pedestrian controls and signalsTraffic cameras: locations of all traffic camerasSignal cabinets: locations of all signal cabinets containing ITS infrastructureTraffic counting locations: locations of all traffic counting infrastrucutureTraffic signal pucks: locations of all traffic pucks that have been installed

Georgia Imports: HS: Locomotives, Traffic Signalling Equipment data was reported at 3,387.620 USD th in Jun 2018. This records a decrease from the previous number of 3,851.152 USD th for Mar 2018. Georgia Imports: HS: Locomotives, Traffic Signalling Equipment data is updated quarterly, averaging 2,419.305 USD th from Mar 1995 (Median) to Jun 2018, with 94 observations. The data reached an all-time high of 37,588.392 USD th in Mar 2013 and a record low of 0.000 USD th in Jun 1996. Georgia Imports: HS: Locomotives, Traffic Signalling Equipment data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.JA007: Imports: by Commodity Group: Harmonised System: Quarterly.