10 datasets found
  1. a

    Commuting 2015

    • opendata.atlantaregional.com
    Updated Mar 2, 2017
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    Georgia Association of Regional Commissions (2017). Commuting 2015 [Dataset]. https://opendata.atlantaregional.com/datasets/dbff0f8ded514d9696fb42a353de94b6
    Explore at:
    Dataset updated
    Mar 2, 2017
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the 2015 U.S. Census Bureau's American Community Survey to show the method of transportation, in numbers and percentages, that workers use to get to work and their mean travel time by census tract in the Atlanta region.Attributes:GEOID10 = FIPS code for this geographyNAME10 = Census tract numberPLNG_REGIO = Planning regionPercent_BA_or_Higher = Percentage of population with a bachelor's degree or higherMedian_household_income = Median household incomeWorkers_16_years_and_over = Workers more than 16 years oldCar_truck_or_van_carpooled = Those who carpooled by car, truck, or vanWorked_at_home = Did not commute, worked from homePercent_Worked_at_home = Percentage did not commute, worked from homePopulation Change per Square Mile 2011-2015 = Population Change per Square Mile from 2011-2015 Car, Truck, or Van--Drove alone = Drove alone using car, truck, or vanPercent Car, Truck, or Van--Drove alone = Percentage who drove alone using a car, truck, or vanPercent Car, Truck, or Van--Carpooled = Percentage who carpooled using a car, truck, or vanPublic Transportation excluding Taxicab = Used public transportation, but not a taxicabPercent Public Transportation excluding Taxicab = Percentage who used public transportation, but not a taxicabMean Travel Time to Work in Minutes = Mean travel time to work, in minutesSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2012-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

  2. a

    Commuting 2016

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Jan 2, 2018
    Share
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    Georgia Association of Regional Commissions (2018). Commuting 2016 [Dataset]. https://opendata.atlantaregional.com/datasets/commuting-2016/api
    Explore at:
    Dataset updated
    Jan 2, 2018
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2012-2016, to show the method of transportation, in numbers and percentages, that workers use to get to work and their mean travel time, by census tract in the Atlanta region. The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2012-2016). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, click here.Attributes: GEOID10 = 2010 Census tract identifier (combination of Federal Information Processing Series (FIPS) codes for state, county, and census tract) County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county) Area_Name = 2010 Census tract name- - - - - -Total_Population = # Total Population, 2016 Total_Population_MOE_2016 = # Total population (Margin of Error), 2016- - - - - -Workers_16_years_and_over = # Workers, 16 years and over, 2016 Workers_16_years_and_over_MOE = # Workers, 16 years and over (Margin of Error), 2016 Car_Truck_Van_drove_alone = # Car, truck, or van - drove alone to work, 2016 Car_Truck_Van_drove_alone_MOE = # Car, truck, or van - drove alone to work (Margin of Error), 2016 Pct_CarTruckVan_drove_alone = % Car, truck, or van - drove alone to work, 2016 Pct_CarTruckVan_drove_alone_MOE = % Car, truck, or van - drove alone to work (Margin of Error), 2016 Car_truck_or_van_carpooled = # Car, truck, or van - carpooled to work, 2016 Car_truck_or_van_carpooled_MOE = # Car, truck, or van - carpooled to work (Margin of Error), 2016 Pct_Car_Truck_Van_carpooled = % Car, truck, or van - carpooled to work, 2016 Pct_Car_Truck_Van_carpooled_MOE = % Car, truck, or van - carpooled to work (Margin of Error), 2016 Public_Transport_not_Taxi = # Public transportation (excluding taxicab) to work, 2016 Public_Transport_not_Taxi_MOE = # Public transportation (excluding taxicab) to work (Margin of Error), 2016 Pct_Public_Transp_not_Taxi = % Public transportation (excluding taxicab) to work, 2016 Pct_Public_Transp_not_Taxi_MOE = % Public transportation (excluding taxicab) to work (Margin of Error), 2016 Worked_at_home = # Worked at home, 2016 Worked_at_home_MOE = # Worked at home (Margin of Error), 2016 Percent_Worked_at_home = % Worked at home, 2016 Percent_Worked_at_home_MOE = % Worked at home (Margin of Error), 2016 Mean_Travel_Time_toWork_min = Mean travel time to work (minutes), 2016 Mean_Travel_Time_toWork_min_MOE = Mean travel time to work (minutes) (Margin of Error), 2016- - - - - -Planning_Region = Planning region designation for ARC purposes AcresLand = Land area within the tract (in acres) AcresWater = Water area within the tract (in acres) AcresTotal = Total area within the tract (in acres) SqMi_Land = Land area within the tract (in square miles) SqMi_Water = Water area within the tract (in square miles) SqMi_Total = Total area within the tract (in square miles) TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively. CountyName = County Name last_edited_date = Last date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2012-2016

    For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.

  3. a

    Commuting (by US Congress) 2017

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Jun 22, 2019
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    Georgia Association of Regional Commissions (2019). Commuting (by US Congress) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/GARC::commuting-by-us-congress-2017/explore
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by US Congress in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  4. a

    Commuting (by City) 2017

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Jun 22, 2019
    Share
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    Georgia Association of Regional Commissions (2019). Commuting (by City) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/commuting-by-city-2017/explore?showTable=true
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by city in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  5. a

    Commuting (by Neighborhood Statistical Areas) 2017

    • opendata.atlantaregional.com
    Updated Jun 22, 2019
    Share
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    Georgia Association of Regional Commissions (2019). Commuting (by Neighborhood Statistical Areas) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/GARC::commuting-by-neighborhood-statistical-areas-2017/about
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by Neighborhood Statistical Areas in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  6. a

    Commuting (by County) 2017

    • opendata.atlantaregional.com
    Updated Jun 22, 2019
    Share
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    Click to copy link
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    Georgia Association of Regional Commissions (2019). Commuting (by County) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/GARC::commuting-by-county-2017/about
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by county in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  7. a

    Commuting (by Regional Commission) 2017

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Jun 22, 2019
    Share
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    Georgia Association of Regional Commissions (2019). Commuting (by Regional Commission) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/GARC::commuting-by-regional-commission-2017/about
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by Regional Commission in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  8. a

    Commuting (by Neighborhood Statistical Areas E02 and E06) 2017

    • opendata.atlantaregional.com
    Updated Jun 22, 2019
    Share
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    Georgia Association of Regional Commissions (2019). Commuting (by Neighborhood Statistical Areas E02 and E06) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/GARC::commuting-by-neighborhood-statistical-areas-e02-and-e06-2017/explore
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by Neighborhood Statistical Areas E02 and E06 in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  9. a

    Commuting (by Census Tract) 2017

    • opendata.atlantaregional.com
    Updated Jun 22, 2019
    Share
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    Cite
    Georgia Association of Regional Commissions (2019). Commuting (by Census Tract) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/30390c162953441995d45b9847a126fa
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by census tract in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  10. a

    Commuting (by Neighborhood Planning Units S, T, and V) 2017

    • opendata.atlantaregional.com
    Updated Jun 22, 2019
    Share
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    Georgia Association of Regional Commissions (2019). Commuting (by Neighborhood Planning Units S, T, and V) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/commuting-by-neighborhood-planning-units-s-t-and-v-2017/explore?showTable=true
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the method of transportation that workers use to get to work and their mean travel time by Neighborhood Planning Units S, T, and V in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Workers16P_e

    # Workers 16 years and over, 2017

    Workers16P_m

    # Workers 16 years and over, 2017 (MOE)

    Drove_e

    # Car, truck, or van - drove alone to work, 2017

    Drove_m

    # Car, truck, or van - drove alone to work, 2017 (MOE)

    pDrove_e

    % Car, truck, or van - drove alone to work, 2017

    pDrove_m

    % Car, truck, or van - drove alone to work, 2017 (MOE)

    Carpool_e

    # Car, truck, or van - carpooled to work, 2017

    Carpool_m

    # Car, truck, or van - carpooled to work, 2017 (MOE)

    pCarpool_e

    % Car, truck, or van - carpooled to work, 2017

    pCarpool_m

    % Car, truck, or van - carpooled to work, 2017 (MOE)

    PublicTrans_e

    # Public transportation (excluding taxicab) to work, 2017

    PublicTrans_m

    # Public transportation (excluding taxicab) to work, 2017 (MOE)

    pPublicTrans_e

    % Public transportation (excluding taxicab) to work, 2017

    pPublicTrans_m

    % Public transportation (excluding taxicab) to work, 2017 (MOE)

    Walked_e

    # Walked to work, 2017

    Walked_m

    # Walked to work, 2017 (MOE)

    pWalked_e

    % Walked to work, 2017

    pWalked_m

    % Walked to work, 2017 (MOE)

    OtherCommute_e

    # Other means to work, 2017

    OtherCommute_m

    # Other means to work, 2017 (MOE)

    pOtherCommute_e

    % Other means to work, 2017

    pOtherCommute_m

    % Other means to work, 2017 (MOE)

    WorkAtHome_e

    # Worked at home, 2017

    WorkAtHome_m

    # Worked at home, 2017 (MOE)

    pWorkAtHome_e

    % Worked at home, 2017

    pWorkAtHome_m

    % Worked at home, 2017 (MOE)

    aMeanTravelTimeWork_e

    Mean travel time to work (minutes), 2017

    aMeanTravelTimeWork_m

    Mean travel time to work (minutes), 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

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Click to copy link
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Close
Cite
Georgia Association of Regional Commissions (2017). Commuting 2015 [Dataset]. https://opendata.atlantaregional.com/datasets/dbff0f8ded514d9696fb42a353de94b6

Commuting 2015

Explore at:
17 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 2, 2017
Dataset provided by
The Georgia Association of Regional Commissions
Authors
Georgia Association of Regional Commissions
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Description

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the 2015 U.S. Census Bureau's American Community Survey to show the method of transportation, in numbers and percentages, that workers use to get to work and their mean travel time by census tract in the Atlanta region.Attributes:GEOID10 = FIPS code for this geographyNAME10 = Census tract numberPLNG_REGIO = Planning regionPercent_BA_or_Higher = Percentage of population with a bachelor's degree or higherMedian_household_income = Median household incomeWorkers_16_years_and_over = Workers more than 16 years oldCar_truck_or_van_carpooled = Those who carpooled by car, truck, or vanWorked_at_home = Did not commute, worked from homePercent_Worked_at_home = Percentage did not commute, worked from homePopulation Change per Square Mile 2011-2015 = Population Change per Square Mile from 2011-2015 Car, Truck, or Van--Drove alone = Drove alone using car, truck, or vanPercent Car, Truck, or Van--Drove alone = Percentage who drove alone using a car, truck, or vanPercent Car, Truck, or Van--Carpooled = Percentage who carpooled using a car, truck, or vanPublic Transportation excluding Taxicab = Used public transportation, but not a taxicabPercent Public Transportation excluding Taxicab = Percentage who used public transportation, but not a taxicabMean Travel Time to Work in Minutes = Mean travel time to work, in minutesSource: U.S. Census Bureau, Atlanta Regional CommissionDate: 2012-2015For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

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