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The 2010 Census Block Groups with Demographic Profile dataset was produced by joining the U.S.Census Bureau's 2010 TIGER/Line File-derived Census Block Groups for Fulton County with selected 2010 Summary File 1 data fields. The result is a census block group boundary layer attributed with some the more commonly used demographics such as total population, population by race, population by age group, median age, and housing and household characteristics. Because the dataset was derived from the TIGER/Line File Census Block Groups, the U.S.Census Bureau's metadata for that dataset is provided below.The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from 2010 U.S. Census to show population change by age, by state house district for the State of Georgia.
Attributes:
DISTRICT = GA House District
POPULATION = District Population (2010 Census)
Name = GA House District Name
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
Population_2000 = Population, 2000
Population_Change_2000_2010 = Population Change, 2000-2010
Pct_Population_Change_2000_2010 = % Population Change, 2000-2010
profile_url = Web address of district profile
Pop_under_age_19_2010 = Population under age 19, 2010
Pop_ages_20_34_2010 = Population ages 20-34, 2010
Pop_ages_35_44_2010 = Population ages 35-44, 2010
Pop_ages_45_64_2010 = Population ages 45-64, 2010
Pop_ages_65_over_2010 = Population ages 65 and over, 2010
Pct_Pop_under_age_19_2010 = % Population under age 19, 2010
Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010
Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010
Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010
Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010
Pop_under_age_19_2000 = Population under age 19, 2000
Pop_ages_20_34_2000 = Population ages 20-34, 2000
Pop_ages_35_44_2000 = Population ages 35-44, 2000
Pop_ages_45_64_2000 = Population ages 45-64, 2000
Pop_ages_65_over_2000 = Population ages 65 and over, 2000
Pct_Pop_under_age_19_2000 = % Population under age 19, 2000
Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000
Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000
Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000
Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000
Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)
Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)
Chg_pop_ages_20_34 = Change in population ages 20-34 (2000-2010)
Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)
Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)
Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)
Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)
Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)
Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)
Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2010
For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from 2010 U.S. Census to show population change by age, by state senate district for the State of Georgia.
Attributes:
DISTRICT = GA Senate District
POPULATION = District Population (2010 Census)
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
Population_2000 = Population, 2000
Population_Change_2000_2010 = Population Change, 2000-2010
Pct_Population_Change_2000_2010 = % Population Change, 2000-2010
profile_url = Web address of ARC district profile
Pop_under_age_19_2010 = Population under age 19, 2010
Pop_ages_20_34_2010 = Population ages 20-34, 2010
Pop_ages_35_44_2010 = Population ages 35-44, 2010
Pop_ages_45_64_2010 = Population ages 45-64, 2010
Pop_ages_65_over_2010 = Population ages 65 and over, 2010
Pct_Pop_under_age_19_2010 = % Population under age 19, 2010
Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010
Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010
Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010
Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010
Pop_under_age_19_2000 = Population under age 19, 2000
Pop_ages_20_34_2000 = Population ages 20-34, 2000
Pop_ages_35_44_2000 = Population ages 35-44, 2000
Pop_ages_45_64_2000 = Population ages 45-64, 2000
Pop_ages_65_over_2000 = Population ages 65 and over, 2000
Pct_Pop_under_age_19_2000 = % Population under age 19, 2000
Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000
Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000
Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000
Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000
Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)
Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)
Chg_pop_ages_20_34 = Change in population ages 20-34 (2000-2010)
Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)
Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)
Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)
Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)
Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)
Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)
Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2010
For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show the share of people who were born in a different state or country, by state senate district for the State of Georgia.
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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.
Attributes:
DISTRICT = GA Senate District
POPULATION = District Population (2010 Census)
Name = GA Senate District Name
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
profile_url = Web address of ARC district profile
US_Native = #, U.S. Native
Percent_US_Native = %, U.S. Native
USnative_Born_in_US = #, U.S. Native, Born in the United States
Pct_USnative_Born_US = %, U.S. Native, Born in the United States
USnative_Born_State_Resid = #, U.S. Native, Born in State of Residence
Pct_USnative_Born_State_Resid = %, U.S. Native, Born in State of Residence
US_Native_Born_Diff_State = #, U.S. Native, Born in Different State
Pct_US_Natv_Born_inDiff_State = %, U.S. Native, Born in Different State
Foreign_Born = #, Foreign Born
Percent_Foreign_Born = %, Foreign Born
ForBorn_Nat_UScitizen = #, Foreign Born, Naturalized U.S. Citizen
Pct_ForBorn_Nat_UScitizen = %, Foreign Born, Naturalized U.S. Citizen
ForeignBorn_notUS_Citizen = #, Foreign Born, Not a U.S. Citizen
Pct_ForBorn_notUS_Citizen = %, Foreign Born, Not a U.S. Citizen
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show grandparents responsible for grandchildren, by state House district for the state of Georgia.
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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.
Attributes:
DISTRICT = GA House District
POPULATION = District Population (2010 Census)
Name = GA House District Name
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
profile_url = Web address of district profile
GParents_Liv_wOwn_GChild_und18 = #, Grandparents living with own grandchildren under 18 years
GParents_RespFor_Gchildren = #, Grandparents Responsible for grandchildren
Pct_GPar_RespFor_Gchildren = %, Grandparents Responsible for grandchildren
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show housing values for owner-occupied units, by state Senate district for the state of Georgia.
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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.
Attributes:
DISTRICT = GA Senate District
POPULATION = District Population (2010 Census)
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
last_edited_date = Last date feature was edited by ARC
profile_url = Web address of ARC district profile
OwnOcc_units_valued_less_100k = #, Owner occupied housing units valued less than $100,000
Pct_OwnOcc_units_val_less_100k = %, Owner occupied housing units valued less than $100,000
OwnOcc_units_valued_100k_300k = #, Owner occupied housing units valued $100,000-$299,999
Pct_OwnOcc_units_val_100k_300k = %, Owner occupied housing units valued $100,000-$299,999
OwnOcc_units_valued_300k_more = #, Owner occupied housing units valued $300,000 or more
Pct_OwnOcc_units_val_300k_more = %, Owner occupied housing units valued $300,000 or more
Median_value_own_occ_units = Median value, owner occupied housing units
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Credits
U.S. Census Bureau, Atlanta Regional Commission
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show poverty status and rates, by age category, by state Senate district for the state of Georgia.
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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.
Attributes:
DISTRICT = GA Senate District
POPULATION = District Population (2010 Census)
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
last_edited_date = Last date feature was edited by ARC
profile_url = Web address of ARC district profile
Pop_PovertyStatus_Determined = #, Population for whom poverty status is determined
Population_in_poverty = #, Population in poverty
Percent_Population_in_poverty = %, Population in poverty
Pop_under18_PovStatusDetermined = #, Population under 18 years for whom poverty status is determined
Pop_under18_in_Poverty = #, Population under 18 years in poverty
Pct_Pop_under18_in_Poverty = %, Population under 18 years in poverty
Pop_18_64_PovStatus_Determined = #, Population 18 to 64 years for whom poverty status is determined
Pop_18_64_Years_in_Poverty = #, Population 18 to 64 years in poverty
Pct_Pop_18_64_Years_in_Poverty = %, Population 18 to 64 years in poverty
Pop_65older_PovStatusDetermined = #, Population 65 years and over for whom poverty status is determined
Pop_65older_in_Poverty = #, Population 65 years and over in poverty
Pct_Pop_65older_in_Poverty = %, Population 65 years and over in poverty
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show school enrollment by level of school, by state Senate district for the state of Georgia.
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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.
Attributes:
DISTRICT = GA Senate District
POPULATION = District Population (2010 Census)
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
last_edited_date = Last date feature was edited by ARC
profile_url = Web address of ARC district profile
Pop_3yrsOlder_Enrolld_in_School = #, Population 3 years and over enrolled in school
Nursery_school_preschool = #, Enrolled in nursery school, preschool
Pct_Nursery_Preschool = %, Enrolled in nursery school, preschool
Kindergarten = #, Enrolled in kindergarten
Percent_Kindergarten = %, Enrolled in kindergarten
Elementary_school_grades_1_8 = #, Enrolled in elementary school (grades 1-8)
Percent_ElemSchool_grades_1_8 = %, Enrolled in elementary school (grades 1-8)
High_school_grades_9_12 = #, Enrolled in high school (grades 9-12)
Percent_HS_grades_9_12 = %, Enrolled in high school (grades 9-12)
College_or_graduate_school = #, Enrolled in college or graduate school
Percent_College_or_grad_school = %, Enrolled in college or graduate school
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
Credits
U.S. Census Bureau, Atlanta Regional Commission
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License information was derived automatically
This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show populations with disabilities by state Senate district for the state of Georgia. 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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here. Attributes: DISTRICT = GA Senate District POPULATION = District Population (2010 Census) Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS) last_edited_date = Last date feature was edited by ARC profile_url = Web address of ARC district profile- - - - - -Civilian_nonInstitutional_Pop = Total Civilian Noninstitutionalized Population Civ_nonInstitution_Pop_wDisabil = #, Civilian Noninstitutionalized Population With a disability Pct_Civ_nonInstitut_Pop_wDisab = %, Civilian Noninstitutionalized Population With a disability Civ_nonInstitut_Pop_under_18yrs = #, Civilian Noninstitutionalized Population Under 18 years Civ_nonInst_under18_wDisab = #, Civilian Noninstitutionalized Under 18 years With a disability Pct_Civ_nonInst_under18_wDisab = %, Civilian Noninstitutionalized Under 18 years With a disability Civ_nonInst_Pop_18_to_64 = #, Civilian Noninstitutionalized Population 18 to 64 years Civ_nonInst_18_to_64_wDisab = #, Civilian Noninstitutionalized 18 to 64 years With a disability Pct_Civ_nonInst_18to64_wDisab = %, Civilian Noninstitutionalized 18 to 64 years With a disability Civ_nonInst_Pop_65years_up = #, Civilian Noninstitutionalized Population 65 years and over Civ_nonInst_65up_wDisab = #, Civilian Noninstitutionalized 65 years and over With a disability Pct_Civ_nonInst_65up_wDisab = %, Civilian Noninstitutionalized 65 years and over With a disability Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Longitudinal Employer-Household Dynamics (U.S. Census Bureau) to show worker characteristics, including total number of workers, worker age, earnings, and job type, for 2014, by state Senate district for the state of Georgia.
Attributes:
DISTRICT = GA Senate District
POPULATION = District Population (2010 Census)
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
last_edited_date = Last date feature was edited by ARC
profile_url = Web address of ARC district profile
TOTAL_WRKRS_2014 = Total number of workers, 2014
WRKRS_AGE_29_YNGR_2014 = # Workers age 29 or younger, 2014
WRKRS_AGE_30_54_2014 = # Workers age 30 to 54, 2014
WRKRS_AGE_55_OLDR_2014 = # Workers age 55 or older, 2014
WRKRS_EARN_1250_MO_LESS_2014 = # Workers earning $1250/month or less, 2014
WRKRS_EARN_1251_3333_MO_2014 = # Workers earning $1251/month to $3333/month, 2014
WRKRS_EARN_MORE_3333_MO_2014 = # Workers earning greater than $3333/month, 2014
WRKRS_NAICS_11_AG_FOR_FISH_2014 = # Workers NAICS 11 (Agriculture, Forestry, Fishing and Hunting), 2014
WRKRS_NAICS_21_MIN_OIL_GAS_2014 = # Workers NAICS 21 (Mining, Quarrying, and Oil and Gas Extraction), 2014
WRKRS_NAICS_22_UTILITIES_2014 = # Workers NAICS 22 (Utilities), 2014
WRKRS_NAICS_23_CONSTRUCT_2014 = # Workers NAICS 23 (Construction), 2014
WRKRS_NAICS_31_33_MANUFACT_2014 = # Workers NAICS 31-33 (Manufacturing), 2014
WRKRS_NAICS_42_WHOLESALE_2014 = # Workers NAICS 42 (Wholesale Trade), 2014
WRKRS_NAICS_44_45_RETAIL_2014 = # Workers NAICS 44-45 (Retail Trade), 2014
WRKRS_NAICS_48_49_TRANS_WH_2014 = # Workers NAICS 48-49 (Transportation and Warehousing), 2014
WRKRS_NAICS_51_INFORMATION_2014 = # Workers NAICS 51 (Information), 2014
WRKRS_NAICS_52_FINANCE_INS_2014 = # Workers NAICS 52 (Finance and Insurance), 2014
WRKRS_NAICS_53_REAL_ESTATE_2014 = # Workers NAICS 53 (Real Estate and Rental and Leasing), 2014
WRKRS_NAICS_54_PRO_SCI_TEC_2014 = # Workers NAICS 54 (Professional, Scientific, and Technical Services), 2014
WRKRS_NAICS_55_MANAGEMENT_2014 = # Workers NAICS 55 (Management of Companies and Enterprises), 2014
WRKRS_NAICS_56_ADMIN_WASTE_2014 = # Workers NAICS 56 (Administrative, Support, Waste Management, Remediation), 2014
WRKRS_NAICS_61_EDUCATION_2014 = # Workers NAICS 61 (Educational Services), 2014
WRKRS_NAICS_62_HEALTH_SOC_2014 = # Workers NAICS 62 (Health Care and Social Assistance), 2014
WRKRS_NAICS_71_ART_ENT_REC_2014 = # Workers NAICS 71 (Arts, Entertainment, and Recreation), 2014
WRKRS_NAICS_72_ACCOMM_FOOD_2014 = # Workers NAICS 72 (Accommodation and Food Services), 2014
WRKRS_NAICS_81_OTHER_SERV_2014 = # Workers NAICS 81 (Other Services [except Public Administration]), 2014
WRKRS_NAICS_92_PUB_ADMIN_2014 = # Workers NAICS 92 (Public Administration), 2014
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from American Community Survey 5-year estimates for 2011-2015 to show number and percentage of households with no vehicle available, by state house district for the state of Georgia.
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. ACS data presented here represent combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2011-2015). Therefore, these data do not represent any one specific point in time or even one specific year. For further explanation of ACS estimates and methodology, click here.
Attributes:
DISTRICT = GA House District
POPULATION = District Population (2010 Census)
Name = GA House District Name
Total_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)
profile_url = Web address of district profile
HH_No_vehicles_available = #, No vehicles available
Pct_HH_No_vehicles_available = %, No vehicles available
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2011-2015
For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.
Credits
U.S. Census Bureau, Atlanta Regional Commission
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The 2010 Census Block Groups with Demographic Profile dataset was produced by joining the U.S.Census Bureau's 2010 TIGER/Line File-derived Census Block Groups for Fulton County with selected 2010 Summary File 1 data fields. The result is a census block group boundary layer attributed with some the more commonly used demographics such as total population, population by race, population by age group, median age, and housing and household characteristics. Because the dataset was derived from the TIGER/Line File Census Block Groups, the U.S.Census Bureau's metadata for that dataset is provided below.The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Block Groups (BGs) are defined before tabulation block delineation and numbering, but are clusters of blocks within the same census tract that have the same first digit of their 4-digit census block number from the same decennial census. For example, Census 2000 tabulation blocks 3001, 3002, 3003,.., 3999 within Census 2000 tract 1210.02 are also within BG 3 within that census tract. Census 2000 BGs generally contained between 600 and 3,000 people, with an optimum size of 1,500 people. Most BGs were delineated by local participants in the Census Bureau's Participant Statistical Areas Program (PSAP). The Census Bureau delineated BGs only where the PSAP participant declined to delineate BGs or where the Census Bureau could not identify any local PSAP participant. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. For Census 2000, rather than extending a census tract boundary into the Great Lakes or out to the U.S. nautical three-mile limit, the Census Bureau delineated some census tract boundaries along the shoreline or just offshore. The Census Bureau assigned a default census tract number of 0 and BG of 0 to these offshore, water-only areas not included in regularly numbered census tract areas.