Home / Tutorials / Data

Selected Variables From The 2014 - 2018 American Community Survey 5-Year Estimates

U.S. Census Bureau. 2020. "2014 - 2018 American Community Survey 5-Year Estimates." Accessed 17 August 2020. https://data.census.gov.

CSV and GeoJSON files are available for states, counties, and CBSAs.

Headings indicate the ACS tables from which the variables come.

Variable listings include:

• The names of the variables
• The data and MOE columns from the table
• The description of the variable in the annotated downloads

Geography

• Factfinder GEOID
  ID code that can be used to unambiguously join with US Census Bureau data from data.census.gov
• FIPS
  Federal Information Processing Standards code. Two digits for states, four digits for counties, five digits for CBSA
• Name
  State Name / County Name / ZIP Code
• Latitude
  WGS 1984 latitude of the centroid of the state / county
• Longitude
  WGS 1984 longitude of the centroid of the state / county
• Square Miles
  Land area in square miles

Table DP02 - Selected Social Characteristics in the United States

• Total Households
  Total number of households
  DP02_0001E, DP02_0001M
• Foreign-Born Population
  Total number of residents born outside the USA
  DP02_0092PE, DP02_0092PM
• Average Household Size
  Average number of persons per household
  DP02_0015E, DP02_0015M
• % Veterans
  Percent of population over 18 years of age that are civilian veterans of the armed forces
  DP02_0069PE, DP02_0069PM
• % Disabled
  Percent of the population that is disabled. Disability types include hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty (USCB 2017).
  DP02_0071PE, DP02_0071PM
• % Living Alone
  Percent of households where the householder lives alone
  DP02_0011PE, DP02_0011PM
• % Bachelor's Degree
  Percent of population 25 years or older with a bachelor's degree
  DP02_0064PE, DP02_0064PM
• % Graduate Degree
  Percent of population 25 years and over with a graduate or professional degree
  DP02_0065PE, DP02_0065PM
• % Households With Broadband
  Percent of households with a broadband Internet subscription
  DP02_0152PE, DP02_0152PM

Table DP03 - Selected Economic Characteristics

• Median Household Income
  Median household income and benefits in 2018 inflation-adjusted dollars
  DP03_0062E, DP03_0062M
• Mean Minutes To Work
  Mean travel time to work in minutes for workers 16 years of age and older
  DP03_0025E, DP03_0025M
• % Unemployment Rate
  Percent of population 16 years and over in the civilian labor force that were unemployed
  DP03_0005PE, DP03_0005PM
• % With Health Insurance
  Percent of the civilian noninstitutionalized population with health insurance coverage
  DP03_0096PE, DP03_0096PM

Table DP04 - Selected Housing Characteristics

• Median Monthly Mortgage
  Median selected monthly owner costs in dollars for housing units with a mortgage
  DP04_0101E, DP04_0101M
• Median Monthly Rent
  Median gross rent in dollars for occupied housing units paying rent
  DP04_0134E, DP04_0134M
• % Vacant Units
  Percent of total housing units that were vacant
  DP04_0003PE, DP04_0003PM
• % Pre-War Units
  Percent of total housing units built in 1939 or earlier
  DP04_0026PE, DP04_0026PM
• % Homeowners
  Percent of housing units occupied by their owner
  DP04_0046PE, DP04_0046PM
• % Renters
  Percent of housing units occupied by a renter
  DP04_0047PE, DP04_0047PM

Table B19083

• Gini Index
  The Gini Index is a summary measure of income inequality. The Gini coefficient ranges from 0, indicating perfect equality (where everyone receives an equal share), to 1, perfect inequality (where only one recipient or group of recipients receives all the income). The Gini is based on the difference between the Lorenz curve (the observed cumulative income distribution) and the notion of a perfectly equal income distribution.
  B19083_001E, B19083_001M

Table S0101 - AGE AND SEX

• Total Population
  Total count of people that live in the area
  S0101_C01_001E
• % Population Under 5
  Percent of the population that is under five years of age
  S0101_C02_002E, S0101_C02_002M
• % Population Under 18
  Percent of the population that is under 18 years of age
  S0101_C02_022E, S0101_C02_022M
• % Population 65+
  Percent of the population that is 65 years or older
  S0101_C02_030E, S0101_C02_030M
• Median Age
  Median age of the population in years
  S0101_C01_032E, S0101_C01_032M
• Age Dependency Ratio
  The age dependency ratio is derived by dividing the sum of the population 65 and over and the population under 18 by the 18-to-64 population and multiplying by 100.
  S0101_C01_034E, S0101_C01_034M
• Old-age Dependency Ratio
  The old-age dependency ratio is derived by dividing the population 65 and over by the 18-to-64 population and multiplying by 100.
  S0101_C01_035E, S0101_C01_035M
• Child Dependency Ratio
  The child dependency ratio is derived by dividing the population under 18 by the 18-to-64 population and multiplying by 100.
  S0101_C01_036E, S0101_C01_036M

Table S0801 - COMMUTING CHARACTERISTICS BY SEX

• Mean Commute Minutes
  Mean travel time to work in minutes
  S0801_C01_046E, S0801_C01_046M
• % Drove Alone to Work
  Percent of workers that drove alone to work in a car, truck, or van
  S0801_C01_003E, S0801_C01_003M
• % Transit to Work
  Percent of workers that take public transportation - excluding taxicab - to work
  S0801_C01_009E, S0801_C01_009M
• % Walk to Work
  Percent of workers that walk to work
  S0801_C01_010E, S0801_C01_010M
• % Bike to Work
  Percent of workers that bike to work
  S0801_C01_011E, S0801_C01_011M
• % Work at Home
  Percent of workers that work at home
  S0801_C01_013E, S0801_C01_013M

Table S1301 - FERTILITY

• Women Aged 15 to 50
  Number of women 15 to 50 years old (typical childbearing years) who live in the area
  S1301_C01_001E, S1301_C01_001M
• % Unmarried Mothers
  Percent of women who gave birth in the past 12 months who were unmarried
  S1301_C05_001E, S1301_C05_001M
• Annual Births per 1K Women
  Rate of women who gave birth in the past 12 months per 1,000 women aged 15 to 50 years
  S1301_C04_001E, S1301_C04_001M

Table S1401 - SCHOOL ENROLLMENT

• Enrolled in School
  Count of population 3 years and over enrolled in school
  S1401_C01_001E, S1401_C01_001M
• K-12 Enrollment
  Count of population enrolled in kindergarten to 12th grade
  S1401_C01_003E, S1401_C01_003M
• Undergrad Enrollment
  Count of population enrolled as undergraduates in college
  S1401_C01_008E, S1401_C01_008M
• Grad School Enrollment
  Count of population enrolled in graduate or professional school
  S1401_C01_009E, S1401_C01_009M

Table S2504: PHYSICAL HOUSING CHARACTERISTICS FOR OCCUPIED HOUSING UNITS

• % No Vehicle
  Percent of occupied housing units where no vehicle is available
  S2504_C02_027E, S2504_C02_027M

Table H2: Households (2010 Census)

Definitions from https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural.html.

• Housing Units
  Number of housing units
  H002001
• Urban Housing Units
  Number of housing units in urbanized areas (UAs) of 50,000 or more people
  H002003
• Urban Cluster Housing Units
  Number of housing units in urban clusters (UCs) of at least 2,500 and less than 50,000 people
  H002004
• Rural Housing Units
  Number of housing units in rural areas, which are all population, housing, and territory not included within an urban area
  H002005