In 1980 the New Orleans City Planning Commission, for planning and decision-making purposes, divided the city into Census Tract based 'neighborhoods'. Additional neighborhoods were created after the 1990 and 2000 Censuses. Following Hurricane Katrina the Greater New Orleans Community Data Center (GNOCDC) settled on these boundaries to facilitate the use of local data in decision-making. These neighborhoods underwent further change during the 2010 Census due to modifications (consolidation and/or splitting) of Census Tracts. The resulting boundaries were renamed as 'Neighborhood Statistical Areas' to reflect their actual function. Census Tracts are small, relatively permanent statistical subdivisions of a county or statistically equivalent entity delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The primary purpose of Census Tracts is to provide a stable set of geographic units for the presentation of decennial census data.

Census Tracts are small, relatively permanent statistical subdivisions of a county or statistically equivalent entity delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The primary purpose of Census Tracts is to provide a stable set of geographic units for the presentation of decennial census data. In 1980 the New Orleans City Planning Commission, for planning and decision-making purposes, divided the city into Census Tract based 'neighborhoods'. Additional neighborhoods were created after the 1990 and 2000 Censuses. Following Hurricane Katrina the Greater New Orleans Community Data Center (GNOCDC) settled on these boundaries to facilitate the use of local data in decision-making. These neighborhoods underwent further change during the 2010 Census due to modifications (consolidation and/or splitting) of Census Tracts, the resulting boundaries were renamed as 'Neighborhood Statistical Areas' to reflect their actual function.

These boundaries were developed by the Department of Planning based on 2020 Census data. Be aware that other organizations may use different neighborhood boundaries in their analyses.Demographics included are: race, ethnicity, gender, vacancy rate, homeowner status, family structure, and age.DATA DICTIONARY:

Field Name

Description

Name

Name of neighborhood statistical area

Population

Total population (P3)

White

White alone population (P3)

Blk_AfAm

Black or African American alone population (P3)

AmInd_AkNa

American Indian/Native Alaskan alone population (P3)

Asian

Asian alone population (P3)

NatHaw_Pac

Native Hawaiian and other Pacific Islander alone population (P3)

Other_Race

Some other race alone population (P3)

TwoOrMore

Two or more races population (P3)

Hisp_Lat

Hispanic or Latino population (P4)

Male

Male population (P12)

Female

Female population (P12)

Total_Units

Total housing units (H1)

Occ_Occupied

Occupied housing units (H3)

Occ_Vacant

Vacant housing units (H3)

Tenure_Owner

Owner-occupied units (H4)

Tenure_Renter

Renter-occupied units (H4)

Vacant_ForRent

Vacant units for rent (H5)

Vacant_ForSale

Vacant units for sale (H5)

Vacant_Other_All

All other vacant units (H5)

HH_Total

Total households (P16)

HH_Family

Total family households (P16)

HH_Married

Married couple family households (P16)

HH_OtherFamily

Other family households (P16)

HH_Male_NoSpouse

Male householder, no spouse present family household (P16)

HH_Female_NoSpouse

Female householder, no spouse present family household (P16)

HH_NonFamily

Total nonfamily households (P16)

HH_NonFamilyAlone

Householder living alone nonfamily households (P16)

HH_NonFamilyNotAlone

Householder not living alone nonfamily households (P16)

HH18_With18

Households with one or more people under 18 (P21)

HH18_FamilyWith18

Family households with one or more people under 18 (P21)

HH18_NonFamilyWith18

Nonfamily households with one or more people under 18 (P21)

HH18_No18

Households with no people under 18 (P21)

HH18_FamilyNo18

Family households with no people under 18 (P21)

HH18_NonFamilyNo18

Nonfamily households with no people under 18 (P21)

Age_U5

Population under 5 years (P12)

Age_5_9

Population age 5-9 (P12)

Age_10_14

Population age 10-14 (P12)

Age_15_17

Population age 15-17 (P12)

Age_18_21

Population age 18-21 (P12)

Age_22_24

Population age 22-24 (P12)

Age_25_29

Population age 25-29 (P12)

Age_30_34

Population age 30-34 (P12)

Age_35_39

Population age 35-39 (P12)

Age_40_44

Population age 40-44 (P12)

Age_45_49

Population age 45-49 (P12)

Age_50_54

Population age 50-54 (P12)

Age_55_59

Population age 55-59 (P12)

Age_60_64

Population age 60-64 (P12)

Age_65_69

Population age 65-69 (P12)

Age_70_74

Population age 70-74 (P12)

Age_75_79

Population age 75-79 (P12)

Age_80_84

Population age 80-84 (P12)

Age_85up

Population age 85 and up (P12)

Med_Age

Median age (P13)

Med_Age_Male

Median male age (P13)

Med_Age_Female

Median female age (P13)

To leave feedback or ask a question about this dataset, please fill out the following form: Neighborhood Statistical Area (NSA) Boundaries feedback form.

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 household income numbers and ranges 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:

Attributes and definitions available below under "Attributes" section and in Infrastructure Manifest (due to text box constraints, attributes cannot be displayed here). Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.

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 value of owner-occupied housing units 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:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)Suffixes:NoneChange over two periods_eEstimate from most recent ACS_mMargin of Error from most recent ACS_00Decennial 2000 Attributes:SumLevelSummary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)GEOIDCensus tract Federal Information Processing Series (FIPS) code NAMEName of geographic unitPlanning_RegionPlanning region designation for ARC purposesAcresTotal area within the tract (in acres)SqMiTotal area within the tract (in square miles)CountyCounty identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)CountyNameCounty NameOwnOcc_e# Owner-occupied housing units, 2017OwnOcc_m# Owner-occupied housing units, 2017 (MOE)ValLt50k_e# Owner-occupied units valued less than $50,000, 2017ValLt50k_m# Owner-occupied units valued less than $50,000, 2017 (MOE)pValLt50k_e% Owner-occupied units valued less than $50,000, 2017pValLt50k_m% Owner-occupied units valued less than $50,000, 2017 (MOE)Val50_100k_e# Owner-occupied units valued $50,000 to $99,999, 2017Val50_100k_m# Owner-occupied units valued $50,000 to $99,999, 2017 (MOE)pVal50_100k_e% Owner-occupied units valued $50,000 to $99,999, 2017pVal50_100k_m% Owner-occupied units valued $50,000 to $99,999, 2017 (MOE)Val100_150k_e# Owner-occupied units valued $100,000 to $149,999, 2017Val100_150k_m# Owner-occupied units valued $100,000 to $149,999, 2017 (MOE)pVal100_150k_e% Owner-occupied units valued $100,000 to $149,999, 2017pVal100_150k_m% Owner-occupied units valued $100,000 to $149,999, 2017 (MOE)Val150_200k_e# Owner-occupied units valued $150,000 to $199,999, 2017Val150_200k_m# Owner-occupied units valued $150,000 to $199,999, 2017 (MOE)pVal150_200k_e% Owner-occupied units valued $150,000 to $199,999, 2017pVal150_200k_m% Owner-occupied units valued $150,000 to $199,999, 2017 (MOE)Val200_300k_e# Owner-occupied units valued $200,000 to $299,999, 2017Val200_300k_m# Owner-occupied units valued $200,000 to $299,999, 2017 (MOE)pVal200_300k_e% Owner-occupied units valued $200,000 to $299,999, 2017pVal200_300k_m% Owner-occupied units valued $200,000 to $299,999, 2017 (MOE)Val300_500k_e# Owner-occupied units valued $300,000 to $499,999, 2017Val300_500k_m# Owner-occupied units valued $300,000 to $499,999, 2017 (MOE)pVal300_500k_e% Owner-occupied units valued $300,000 to $499,999, 2017pVal300_500k_m% Owner-occupied units valued $300,000 to $499,999, 2017 (MOE)Val500k_1m_e# Owner-occupied units valued $500,000 to $999,999, 2017Val500k_1m_m# Owner-occupied units valued $500,000 to $999,999, 2017 (MOE)pVal500k_1m_e% Owner-occupied units valued $500,000 to $999,999, 2017pVal500k_1m_m% Owner-occupied units valued $500,000 to $999,999, 2017 (MOE)Val1mP_e# Owner-occupied units valued $1,000,000 or more, 2017Val1mP_m# Owner-occupied units valued $1,000,000 or more, 2017 (MOE)pVal1mP_e% Owner-occupied units valued $1,000,000 or more, 2017pVal1mP_m% Owner-occupied units valued $1,000,000 or more, 2017 (MOE)ValLt100k_e# Owner-occupied units valued less than $100,000, 2017ValLt100k_m# Owner-occupied units valued less than $100,000, 2017 (MOE)pValLt100k_e% Owner-occupied units valued less than $100,000, 2017pValLt100k_m% Owner-occupied units valued less than $100,000, 2017 (MOE)Val100_300k_e# Owner-occupied units valued $100,000 to $299,999, 2017Val100_300k_m# Owner-occupied units valued $100,000 to $299,999, 2017 (MOE)pVal100_300k_e% Owner-occupied units valued $100,000 to $299,999, 2017pVal100_300k_m% Owner-occupied units valued $100,000 to $299,999, 2017 (MOE)Val300kPlus_e# Owner-occupied units valued $300,000 or more, 2017Val300kPlus_m# Owner-occupied units valued $300,000 or more, 2017 (MOE)pVal300kPlus_e% Owner-occupied units valued $300,000 or more, 2017pVal300kPlus_m% Owner-occupied units valued $300,000 or more, 2017 (MOE)mMedHUValue_eMedian value of owner-occupied unit (dollars), 2017mMedHUValue_mMedian value of owner-occupied unit (dollars), 2017 (MOE)last_edited_dateLast date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2013-2017 For additional information, please visit the Census ACS website.

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 populations by industries 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:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)Suffixes:NoneChange over two periods_eEstimate from most recent ACS_mMargin of Error from most recent ACS_00Decennial 2000 Attributes: SumLevelSummary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)GEOIDCensus tract Federal Information Processing Series (FIPS) code NAMEName of geographic unitPlanning_RegionPlanning region designation for ARC purposesAcresTotal area within the tract (in acres)SqMiTotal area within the tract (in square miles)CountyCounty identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)CountyNameCounty NameCivEmployed_e# Civilian employed, 2017CivEmployed_m# Civilian employed, 2017 (MOE)AgForInd_e# Agriculture, forestry, fishing and hunting, and mining industries, 2017AgForInd_m# Agriculture, forestry, fishing and hunting, and mining industries, 2017 (MOE)pAgForInd_e% Agriculture, forestry, fishing and hunting, and mining industries, 2017pAgForInd_m% Agriculture, forestry, fishing and hunting, and mining industries, 2017 (MOE)ConstInd_e# Construction industry, 2017ConstInd_m# Construction industry, 2017 (MOE)pConstInd_e% Construction industry, 2017pConstInd_m% Construction industry, 2017 (MOE)ManufInd_e# Manufacturing industry, 2017ManufInd_m# Manufacturing industry, 2017 (MOE)pManufInd_e% Manufacturing industry, 2017pManufInd_m% Manufacturing industry, 2017 (MOE)WholesaleInd_e# Wholesale trade industry, 2017WholesaleInd_m# Wholesale trade industry, 2017 (MOE)pWholesaleInd_e% Wholesale trade industry, 2017pWholesaleInd_m% Wholesale trade industry, 2017 (MOE)RetailInd_e# Retail trade industry, 2017RetailInd_m# Retail trade industry, 2017 (MOE)pRetailInd_e% Retail trade industry, 2017pRetailInd_m% Retail trade industry, 2017 (MOE)TransportInd_e# Transportation and warehousing, and utilities industries, 2017TransportInd_m# Transportation and warehousing, and utilities industries, 2017 (MOE)pTransportInd_e% Transportation and warehousing, and utilities industries, 2017pTransportInd_m% Transportation and warehousing, and utilities industries, 2017 (MOE)InfoInd_e# Information industry, 2017InfoInd_m# Information industry, 2017 (MOE)pInfoInd_e% Information industry, 2017pInfoInd_m% Information industry, 2017 (MOE)FIREInd_e# Finance and insurance, and real estate and rental and leasing industries, 2017FIREInd_m# Finance and insurance, and real estate and rental and leasing industries, 2017 (MOE)pFIREInd_e% Finance and insurance, and real estate and rental and leasing industries, 2017pFIREInd_m% Finance and insurance, and real estate and rental and leasing industries, 2017 (MOE)ProfSciInd_e# Professional, scientific, and management, and administrative and waste management services industries, 2017ProfSciInd_m# Professional, scientific, and management, and administrative and waste management services industries, 2017 (MOE)pProfSciInd_e% Professional, scientific, and management, and administrative and waste management services industries, 2017pProfSciInd_m% Professional, scientific, and management, and administrative and waste management services industries, 2017 (MOE)EdHealthInd_e# Educational services, health care and social assistance industries, 2017EdHealthInd_m# Educational services, health care and social assistance industries, 2017 (MOE)pEdHealthInd_e% Educational services, health care and social assistance industries, 2017pEdHealthInd_m% Educational services, health care and social assistance industries, 2017 (MOE)ArtEntInd_e# Arts, entertainment, and recreation, and accommodation and food services industries, 2017ArtEntInd_m# Arts, entertainment, and recreation, and accommodation and food services industries, 2017 (MOE)pArtEntInd_e% Arts, entertainment, and recreation, and accommodation and food services industries, 2017pArtEntInd_m% Arts, entertainment, and recreation, and accommodation and food services industries, 2017 (MOE)OthServiceInd_e# Other service industries, except public administration, 2017OthServiceInd_m# Other service industries, except public administration, 2017 (MOE)pOthServiceInd_e% Other service industries, except public administration, 2017pOthServiceInd_m% Other service industries, except public administration, 2017 (MOE)PubAdminInd_e# Public administration industry, 2017PubAdminInd_m# Public administration industry, 2017 (MOE)pPubAdminInd_e% Public administration industry, 2017pPubAdminInd_m% Public administration industry, 2017 (MOE)last_edited_dateLast date the feature was edited by ARC Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2013-2017 For additional information, please visit the Census ACS website.

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 numbers and rates for housing tenure 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

OccHU_e

# Occupied housing units, 2017

OccHU_m

# Occupied housing units, 2017 (MOE)

OwnOcc_e

# Owner-occupied housing units, 2017

OwnOcc_m

# Owner-occupied housing units, 2017 (MOE)

pOwnOcc_e

% Owner-occupied housing units, 2017

pOwnOcc_m

% Owner-occupied housing units, 2017 (MOE)

RenterOcc_e

# Renter-occupied housing units, 2017

RenterOcc_m

# Renter-occupied housing units, 2017 (MOE)

pRenterOcc_e

% Renter-occupied housing units, 2017

pRenterOcc_m

% Renter-occupied housing units, 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.

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 job types of workers 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

CivEmployed_e

# Civilian employed, 2017

CivEmployed_m

# Civilian employed, 2017 (MOE)

GovtWorker_e

# Government workers, 2017

GovtWorker_m

# Government workers, 2017 (MOE)

pGovtWorker_e

% Government workers, 2017

pGovtWorker_m

% Government workers, 2017 (MOE)

SelfEmpWorker_e

# Self-employed in own not incorporated business workers, 2017

SelfEmpWorker_m

# Self-employed in own not incorporated business workers, 2017 (MOE)

pSelfEmpWorker_e

% Self-employed in own not incorporated business workers, 2017

pSelfEmpWorker_m

% Self-employed in own not incorporated business workers, 2017 (MOE)

UnpaidFamWorker_e

# Unpaid family workers, 2017

UnpaidFamWorker_m

# Unpaid family workers, 2017 (MOE)

pUnpaidFamWorker_e

% Unpaid family workers, 2017

pUnpaidFamWorker_m

% Unpaid family workers, 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.

The percent of persons between the ages of 16 and 64 that are in the labor force (and are looking for work) but are not currently working. Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

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 number and percentages of migration 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

Pop1P_e

# Population ages 1 year and over, 2017

Pop1P_m

# Population ages 1 year and over, 2017 (MOE)

SameHouse_e

# Living in the same house as 1 year ago, 2017

SameHouse_m

# Living in the same house as 1 year ago, 2017 (MOE)

pSameHouse_e

% Living in the same house as 1 year ago, 2017

pSameHouse_m

% Living in the same house as 1 year ago, 2017 (MOE)

DiffHouseInUS_e

# Living in a different house in the U.S. 1 year ago, 2017

DiffHouseInUS_m

# Living in a different house in the U.S. 1 year ago, 2017 (MOE)

pDiffHouseInUS_e

% Living in a different house in the U.S. 1 year ago, 2017

pDiffHouseInUS_m

% Living in a different house in the U.S. 1 year ago, 2017 (MOE)

SameCounty_e

# Living in a different house in the same county 1 year ago, 2017

SameCounty_m

# Living in a different house in the same county 1 year ago, 2017 (MOE)

pSameCounty_e

% Living in a different house in the same county 1 year ago, 2017

pSameCounty_m

% Living in a different house in the same county 1 year ago, 2017 (MOE)

DiffCounty_e

# Living in a different county 1 year ago, 2017

DiffCounty_m

# Living in a different county 1 year ago, 2017 (MOE)

pDiffCounty_e

% Living in a different county 1 year ago, 2017

pDiffCounty_m

% Living in a different county 1 year ago, 2017 (MOE)

SameState_e

# Living in a different county, same state 1 year ago, 2017

SameState_m

# Living in a different county, same state 1 year ago, 2017 (MOE)

pSameState_e

% Living in a different county, same state 1 year ago, 2017

pSameState_m

% Living in a different county, same state 1 year ago, 2017 (MOE)

Diff_State_e

# Living in a different state 1 year ago, 2017

Diff_State_m

# Living in a different state 1 year ago, 2017 (MOE)

pDiff_State_e

% Living in a different state 1 year ago, 2017

pDiff_State_m

% Living in a different state 1 year ago, 2017 (MOE)

Abroad_e

# Living abroad 1 year ago, 2017

Abroad_m

# Living abroad 1 year ago, 2017 (MOE)

pAbroad_e

% Living abroad 1 year ago, 2017

pAbroad_m

% Living abroad 1 year ago, 2017 (MOE)

Moved_e

# Moved in the last year, 2017

Moved_m

# Moved in the last year, 2017 (MOE)

pMoved_e

% Moved in the last year, 2017

pMoved_m

% Moved in the last year, 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.

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 number and percentages of opportunity to youth 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

PopAges1619_e

# Population, ages 16-19, 2017

PopAges1619_m

# Population, ages 16-19, 2017 (MOE)

DisconYouth_e

# Disconnected youth: ages 16-19 not in school or in labor force, 2017

DisconYouth_m

# Disconnected youth: ages 16-19 not in school or in labor force, 2017 (MOE)

pDisconYouth_e

% Disconnected youth: ages 16-19 not in school or in labor force, 2017

pDisconYouth_m

% Disconnected youth: ages 16-19 not in school or in labor force, 2017 (MOE)

OwnChildInFam_e

# Own children in families, 2017

OwnChildInFam_m

# Own children in families, 2017 (MOE)

NoParentLabForce_e

# Own children in families with no parent in the labor force, 2017

NoParentLabForce_m

# Own children in families with no parent in the labor force, 2017 (MOE)

pNoParentLabForce_e

% Own children in families with no parent in the labor force, 2017

pNoParentLabForce_m

% Own children in families with no parent in the labor force, 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.

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 numbers and percentages for occupation, household income, and commuting pattern by race and 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:

Attributes and definitions available below under "Attributes" section and in Infrastructure Manifest (due to text box constraints, attributes cannot be displayed here).

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

Date: 2013-2017

For additional information, please visit the Census ACS website.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau.

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 2014-2018). 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 a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.

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)

s

Significance flag for change: 1 = statistically significant with a 90% Confidence Interval, 0 = not statistically significant, blank = cannot be computed

Suffixes:

_e18

Estimate from 2014-18 ACS

_m18

Margin of Error from 2014-18 ACS

_00_v18

Decennial 2000 in 2018 geography boundary

_00_18

Change, 2000-18

_e10_v18

Estimate from 2006-10 ACS in 2018 geography boundary

_m10_v18

Margin of Error from 2006-10 ACS in 2018 geography boundary

_e10_18

Change, 2010-18

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 population composition of the renter-occupied housing units 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:

Attributes and definitions available below under "Attributes" section and in Infrastructure Manifest (due to text box constraints, attributes cannot be displayed here).

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

Date: 2013-2017

For additional information, please visit the Census ACS website.

A household consists of all the people occupying a housing unit. A household includes related and unrelated persons, if any, such as lodgers, foster children, wards, or employees who share the housing unit. A person living alone in a housing unit, or a group of unrelated people sharing a housing unit such as partners or roomers, is also counted as a household. The count of households excludes group quarters. Source: U.S. Bureau of the Census, American Community Survey Years Available: 2010, 2015-2019

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 unemployment numbers and percentages 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

Pop16P_e

# Population 16 years and over, 2017

Pop16P_m

# Population 16 years and over, 2017 (MOE)

InLabForce_e

# In labor force, 2017

InLabForce_m

# In labor force, 2017 (MOE)

pInLabForce_e

% In labor force, 2017

pInLabForce_m

% In labor force, 2017 (MOE)

CivLabForce_e

# In civilian labor force, 2017

CivLabForce_m

# In civilian labor force, 2017 (MOE)

pCivLabForce_e

% In civilian labor force, 2017

pCivLabForce_m

% In civilian labor force, 2017 (MOE)

CivEmployed_e

# Civilian employed, 2017

CivEmployed_m

# Civilian employed, 2017 (MOE)

pCivEmployed_e

% Civilian employed, 2017

pCivEmployed_m

% Civilian employed, 2017 (MOE)

Unemployed_e

# Civilian unemployed, 2017

Unemployed_m

# Civilian unemployed, 2017 (MOE)

pUnemployed_e

% Civilian unemployed, 2017

pUnemployed_m

% Civilian unemployed, 2017 (MOE)

ArmedForce_e

# In armed forces, 2017

ArmedForce_m

# In armed forces, 2017 (MOE)

pArmedForce_e

% In armed forces, 2017

pArmedForce_m

% In armed forces, 2017 (MOE)

NotLabForce_e

# Not in labor force, 2017

NotLabForce_m

# Not in labor force, 2017 (MOE)

pNotLabForce_e

% Not in labor force, 2017

pNotLabForce_m

% Not in labor force, 2017 (MOE)

pUnempOLabForce_e

% Unemployed as part of total labor force (including armed forces), 2017

pUnempOLabForce_m

% Unemployed as part of total labor force (including armed forces), 2017 (MOE)

UnempCivLabForce_e

# Civilian Unemployed, 2017

UnempCivLabForce_m

# Civilian Unemployed, 2017 (MOE)

pUnempCivLabForce_e

% Unemployment Rate, 2017

pUnempCivLabForce_m

% Unemployment Rate, 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.

The percent of persons between the ages of 16 and 64 formally employed or self-employed and earning a formal income. It is used to understand how many persons are working out of the entire population, not just those in the labor force (persons who may be looking for work or working). Source: American Community Survey Years Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

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 birth and citizenship status 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, Super District, 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

TotPop_e

# Total population, 2017

TotPop_m

# Total population, 2017 (MOE)

Native_e

# U.S. Native, 2017

Native_m

# U.S. Native, 2017 (MOE)

pNative_e

% U.S. Native, 2017

pNative_m

% U.S. Native, 2017 (MOE)

BornUS_e

# Born in the United States, 2017

BornUS_m

# Born in the United States, 2017 (MOE)

pBornUS_e

% Born in the United States, 2017

pBornUS_m

% Born in the United States, 2017 (MOE)

BornState_e

# Born in state of residence, 2017

BornState_m

# Born in state of residence, 2017 (MOE)

pBornState_e

% Born in state of residence, 2017

pBornState_m

% Born in state of residence, 2017 (MOE)

BornDiffState_e

# Born in different state, 2017

BornDiffState_m

# Born in different state, 2017 (MOE)

pBornDiffState_e

% Born in different state, 2017

pBornDiffState_m

% Born in different state, 2017 (MOE)

BornTerr_e

# Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017

BornTerr_m

# Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017 (MOE)

pBornTerr_e

% Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017

pBornTerr_m

% Born in Puerto Rico, U.S. Island Areas, or born abroad to American parent(s), 2017 (MOE)

ForBorn_e

# Foreign born, 2017

ForBorn_m

# Foreign born, 2017 (MOE)

pForBorn_e

% Foreign born, 2017

pForBorn_m

% Foreign born, 2017 (MOE)

Naturalized_e

# Naturalized U.S. citizen, 2017

Naturalized_m

# Naturalized U.S. citizen, 2017 (MOE)

pNaturalized_e

% Naturalized U.S. citizen, 2017

pNaturalized_m

% Naturalized U.S. citizen, 2017 (MOE)

NotNaturalized_e

# Not a U.S. citizen, 2017

NotNaturalized_m

# Not a U.S. citizen, 2017 (MOE)

pNotNaturalized_e

% Not a U.S. citizen, 2017

pNotNaturalized_m

% Not a U.S. citizen, 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.

The data refer to residents by age, sex, citizenship, neighborhood and area and statistical area in historical series since 2010To correctly identify the areas of interest click - here .For more information go to the Statistical Data section of the website of the Controls and Statistics Programming Area.

The Johns Hopkins Center for a Livable Future (CLF) obtained the food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants and temporary locations such as farmers' market stands and street carts. The restaurants were grouped into three categories, including full service restaurants, fast food chains and carryouts. Carryout and fast food chain restaurants were extracted from the restaurant layer and spatially joined with the 2010 Community Statistical Area (CSA) data layer, provided by BNIA-JFI. The prepared foods density, per 1,000 people, was calculated for each CSA using the CSA's population and the total number of carryout and fast food restaurants, including vendors selling prepared foods in public markets, in each CSA. Source: Johns Hopkins University, Center for a Livable Future Years Available: 2011, 2013, 2019