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

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.

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.

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.

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.

Abstract

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.

Geographic coverage

The Samtskhe-Javakheti region

Analysis unit

Individuals, households

Universe

To collect the data, enumerators travelled to each settlement and worked with local authorities to identify a small group of individuals who were identified as knowledgeable about conditions in the settlement.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the first round used the 2002 Census to identify a sampling frame of 732 settlements around either the project or comparison roads, of which 690 were surveyed. The sample size was increased for the second and third rounds, which conducted surveys in all settlements that met at least one of the following criteria: settlements along the SJ Road; settlements along comparison roads where traffic counts are conducted; settlements included in the Integrated Household Survey (IHHS) that the evaluation uses to evaluate household-level outcomes, and any other village that was included in the baseline. The second and third rounds each included 960 settlements.

Our approach to selecting the comparison roads uses the technique of Propensity Score Matching (PSM) to identify eight comparison road segments to be included in the analysis. The comparison roads were selected from an inventory of 117 road segments for which data on a variety of characteristics was available from RDMED, the Georgian government roads agency. Our application of PSM in this case is to estimate a logistic regression model of the probability that a road is part of the treatment group as a function of observable characteristics. We then calculate the predicted probability (or propensity score) that a road segment is part of the treatment group for each of the eight treatment roads and 117 potential comparison roads using these estimated regression coefficients. Finally, each of the eight treatment roads is matched to a single comparison road for which the propensity score is the closest in value from among the 117 potential comparison roads.

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

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

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;

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.

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.

This study aimed to fill a void in the research regarding police behavior by focusing on the formation and creation of cognitive suspicion by officers. The study also examined formal actions (stops) taken by the police pursuant to that suspicion. The study was conducted using observational research methods and collected quantitative and qualitative data on officer suspicion. Data were collected by observers who rode along with patrol officers from April 2002 to November 2002. Field observers used three major data collection instruments in order to gather as much relevant information as possible from a variety of sources and in diverse situations. The Officer Form was an overall evaluation of the officer's decision-making characteristics, Suspicion Forms captured information each time an incident occurred, and a Suspect Form was a compilation of data from the citizen who had the encounter with the officer. Additional documents included informed consent forms, a card detailing the language to be used for the initial contact with citizens, and hourly activity forms. Anytime a suspicion was formed or a formal action was taken after a suspicion was formed, the observer debriefed the officer as to his or her thoughts and elicited the officer's overall rating of the encounter. Data in this collection include general demographic characteristics of the officer and the suspect, as well as the area in which the suspicion was formed. Data was also gathered regarding what led the officer to form a suspicion, and why a person was or was not stopped.

Georgia Imports from United States of Electric signal, safety or traffic control equipment was US$1.25 Thousand during 2017, according to the United Nations COMTRADE database on international trade. Georgia Imports from United States of Electric signal, safety or traffic control equipment - data, historical chart and statistics - was last updated on June of 2025.

Norway Exports of electric signal, safety or traffic control equipment to Georgia was US$542 during 2019, according to the United Nations COMTRADE database on international trade. Norway Exports of electric signal, safety or traffic control equipment to Georgia - data, historical chart and statistics - was last updated on June of 2025.

Georgia Exports: HS: Locomotives, Traffic Signalling Equipment data was reported at 958.295 USD th in Oct 2018. This records an increase from the previous number of 125.654 USD th for Sep 2018. Georgia Exports: HS: Locomotives, Traffic Signalling Equipment data is updated monthly, averaging 119.019 USD th from Jan 1995 (Median) to Oct 2018, with 286 observations. The data reached an all-time high of 12,600.543 USD th in Nov 2013 and a record low of 0.000 USD th in Jun 2016. Georgia Exports: 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.JA001: Exports: by Commodity Group: Harmonised System.

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.

Passenger Traffic: International: To India: Georgia data was reported at 10,809.000 Person in Sep 2024. This records an increase from the previous number of 6,340.000 Person for Jun 2024. Passenger Traffic: International: To India: Georgia data is updated quarterly, averaging 3,511.000 Person from Jun 2020 (Median) to Sep 2024, with 14 observations. The data reached an all-time high of 10,809.000 Person in Sep 2024 and a record low of 177.000 Person in Sep 2020. Passenger 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.TA040: Aviation Statistics: Passenger Traffic: International: by Country: To India.