census_data_zip_ads

ℹ️ Dataset info

Description: Detailed US demographic data at zip codes resolution

Labels: owner: upgini dataset_type: public dataset_source: osm

Search keys: COUNTRY POSTAL_CODE

Row count: 32,799

ℹ️ Features info:

f_location_country_postal_total_population_465b439e

Datatype: FLOAT Description: Total Population. The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates.

f_location_country_postal_households_e0a37e9f

Datatype: FLOAT Description: Households. A count of the number of households in each geography. A household consists of one or more people who live in the same dwelling and also share at meals or living accommodation, and may consist of a single family or some other grouping of people.

f_location_country_postal_avg_population_by_one_household_72bf93ba

Datatype: FLOAT Description: Average number of inhabitants per household in the postal code area

f_location_country_postal_male_population_ca347b57

Datatype: FLOAT Description: Male Population. The number of people within each geography who are male.

f_location_country_postal_male_prcnt_c1748e70

Datatype: FLOAT Description: Percentage of males in the postal code area

f_location_country_postal_female_population_203f8c93

Datatype: FLOAT Description: Female Population. The number of people within each geography who are female.

f_location_country_postal_female_prcnt_035834d5

Datatype: FLOAT Description: Percentage of women in the postal code area

f_location_country_postal_female_minus_male_population_895aacd2

Datatype: FLOAT Description: The difference between the number of women and men living in the area

f_location_country_postal_median_age_4b1ba8f5

Datatype: FLOAT Description: Median Age. The median age of all people in a given geographic area.

f_location_country_postal_male_under_5_ef4623d5

Datatype: FLOAT Description: The number of men under the age of 5 living in the postal code area

f_location_country_postal_male_5_to_9_7bbcd91a

Datatype: FLOAT Description: The number of men aged 5 to 9 years living in the postal code area

f_location_country_postal_male_10_to_14_6c47c3ac

Datatype: FLOAT Description: The number of men aged 10 to 14 years living in the postal code area

f_location_country_postal_male_15_to_17_0c49c08b

Datatype: FLOAT Description: The number of men aged 15 to 17 years living in the postal code area

f_location_country_postal_male_18_to_19_a32a8aa4

Datatype: FLOAT Description: The number of men aged 18 to 19 years living in the postal code area

f_location_country_postal_male_20_b6777b2c

Datatype: FLOAT Description: The number of men aged 20 years living in the postal code area

f_location_country_postal_male_21_71033c02

Datatype: FLOAT Description: The number of men aged 21 years living in the postal code area

f_location_country_postal_male_22_to_24_9c257853

Datatype: FLOAT Description: The number of men aged 22 to 24 years living in the postal code area

f_location_country_postal_male_25_to_29_7cf97fec

Datatype: FLOAT Description: The number of men aged 25 to 29 years living in the postal code area

f_location_country_postal_male_30_to_34_45966deb

Datatype: FLOAT Description: The number of men aged 30 to 34 years living in the postal code area

f_location_country_postal_male_35_to_39_44775339

Datatype: FLOAT Description: The number of men aged 35 to 39 years living in the postal code area

f_location_country_postal_male_40_to_44_6b2685e6

Datatype: FLOAT Description: The number of men aged 40 to 44 years living in the postal code area

f_location_country_postal_male_45_to_49_ef5238f1

Datatype: FLOAT Description: The number of men aged 45 to 49 years living in the postal code area

f_location_country_postal_male_50_to_54_4303d1c3

Datatype: FLOAT Description: The number of men aged 50 to 54 years living in the postal code area

f_location_country_postal_male_55_to_59_d58cb13b

Datatype: FLOAT Description: The number of men aged 55 to 59 years living in the postal code area

f_location_country_postal_male_65_to_66_920076d1

Datatype: FLOAT Description: The number of men aged 65 to 66 years living in the postal code area

f_location_country_postal_male_67_to_69_116c37a6

Datatype: FLOAT Description: The number of men aged 67 to 69 years living in the postal code area

f_location_country_postal_male_70_to_74_3b39b88f

Datatype: FLOAT Description: The number of men aged 70 to 74 years living in the postal code area

f_location_country_postal_male_75_to_79_5bc68571

Datatype: FLOAT Description: The number of men aged 75 to 79 years living in the postal code area

f_location_country_postal_male_80_to_84_45cc5169

Datatype: FLOAT Description: The number of men aged 80 to 84 years living in the postal code area

f_location_country_postal_male_85_and_over_ac6fd8ca

Datatype: FLOAT Description: The number of men aged 85+ living in the postal code area

f_location_country_postal_female_under_5_cb0cf817

Datatype: FLOAT Description: The number of women under the age of 5 living in the postal code area

f_location_country_postal_female_5_to_9_023c5b79

Datatype: FLOAT Description: The number of women aged 5 to 9 years living in the postal code area

f_location_country_postal_female_10_to_14_77c4db8f

Datatype: FLOAT Description: The number of women aged 10 to 14 years living in the postal code area

f_location_country_postal_female_15_to_17_d9137d21

Datatype: FLOAT Description: The number of women aged 15 to 17 years living in the postal code area

f_location_country_postal_female_18_to_19_b4756456

Datatype: FLOAT Description: The number of women aged 18 to 19 years living in the postal code area

f_location_country_postal_female_20_f9065ebb

Datatype: FLOAT Description: The number of women aged 20 years living in the postal code area

f_location_country_postal_female_21_598aa8ca

Datatype: FLOAT Description: The number of women aged 21 years living in the postal code area

f_location_country_postal_female_22_to_24_50d7888d

Datatype: FLOAT Description: The number of women aged 22 to 24 years living in the postal code area

f_location_country_postal_female_25_to_29_4da14dc0

Datatype: FLOAT Description: The number of women aged 25 to 29 years living in the postal code area

f_location_country_postal_female_30_to_34_0addc092

Datatype: FLOAT Description: The number of women aged 30 to 34 years living in the postal code area

f_location_country_postal_female_35_to_39_786d6419

Datatype: FLOAT Description: The number of women aged 35 to 39 years living in the postal code area

f_location_country_postal_female_40_to_44_f495faac

Datatype: FLOAT Description: The number of women aged 40 to 44 years living in the postal code area

f_location_country_postal_female_45_to_49_6e9addd3

Datatype: FLOAT Description: The number of women aged 45 to 49 years living in the postal code area

f_location_country_postal_female_50_to_54_db0b98c2

Datatype: FLOAT Description: The number of women aged 50 to 54 years living in the postal code area

f_location_country_postal_female_55_to_59_9b571411

Datatype: FLOAT Description: The number of women aged 55 to 59 years living in the postal code area

f_location_country_postal_female_60_to_61_67fd0242

Datatype: FLOAT Description: The number of women aged 60 to 61 years living in the postal code area

f_location_country_postal_female_62_to_64_18493791

Datatype: FLOAT Description: The number of women aged 62 to 64 years living in the postal code area

f_location_country_postal_female_65_to_66_68cac4d7

Datatype: FLOAT Description: The number of women aged 65 to 66 years living in the postal code area

f_location_country_postal_female_67_to_69_836d1e61

Datatype: FLOAT Description: The number of women aged 67 to 69 years living in the postal code area

f_location_country_postal_female_70_to_74_434cd3eb

Datatype: FLOAT Description: The number of women aged 70 to 74 years living in the postal code area

f_location_country_postal_female_75_to_79_d428f653

Datatype: FLOAT Description: The number of women aged 75 to 79 years living in the postal code area

f_location_country_postal_female_80_to_84_f04e2d9f

Datatype: FLOAT Description: The number of women aged 80 to 84 years living in the postal code area

f_location_country_postal_female_85_and_over_cc4bc9bc

Datatype: FLOAT Description: The number of women aged 85+ years living in the postal code area

f_location_country_postal_white_pop_995cb9f3

Datatype: FLOAT Description: White Population. The number of people identifying as white, non-Hispanic in each geography.

f_location_country_postal_white_population_prcnt_7b317909

Datatype: FLOAT Description: Percentage of white residents in the postal code area

f_location_country_postal_population_1_year_and_over_c0ad7420

Datatype: FLOAT Description: The number of residents aged 1+ years living in the postal code area

f_location_country_postal_population_3_years_over_75e13d5c

Datatype: FLOAT Description: The number of residents aged 3+ years living in the postal code area

f_location_country_postal_pop_5_years_over_ec56b102

Datatype: FLOAT Description: The number of residents aged 5+ years living in the postal code area

f_location_country_postal_pop_15_and_over_ffded1e4

Datatype: FLOAT Description: The number of residents aged 15+ years living in the postal code area

f_location_country_postal_pop_16_over_ece82605

Datatype: FLOAT Description: The number of residents aged 16+ years living in the postal code area

f_location_country_postal_pop_25_years_over_da3e8a69

Datatype: FLOAT Description: The number of residents aged 25+ years living in the postal code area

f_location_country_postal_pop_25_64_7e7b8c0b

Datatype: FLOAT Description: The number of residents aged 25 to 64 years living in the postal code area

f_location_country_postal_pop_never_married_0701c3a2

Datatype: FLOAT Description: Never Married. The number of people in a geographic area who have never been married.

f_location_country_postal_pop_now_married_410cbecc

Datatype: FLOAT Description: Currently married. The number of people in a geographic area who are currently married

f_location_country_postal_pop_separated_41b3fcd3

Datatype: FLOAT Description: Married but separated. The number of people in a geographic area who are married but separated

f_location_country_postal_pop_widowed_33d7a35a

Datatype: FLOAT Description: Widowed. The number of people in a geographic area who are widowed

f_location_country_postal_pop_divorced_5b3f5afe

Datatype: FLOAT Description: Divorced. The number of people in a geographic area who are divorced

f_location_country_postal_not_us_citizen_pop_20b36f95

Datatype: FLOAT Description: Not a U.S. Citizen Population. The number of people within each geography who indicated that they are not U.S. citizens.

f_location_country_postal_not_us_citizen_prcnt_448780dd

Datatype: FLOAT Description: Percentage of not US citizen residents in the postal code area

f_location_country_postal_black_pop_5c731fc8

Datatype: FLOAT Description: Black or African American Population. The number of people identifying as black or African American, non-Hispanic in each geography.

f_location_country_postal_black_population_prcnt_503877b9

Datatype: FLOAT Description: Percentage of black residents in the postal code area

f_location_country_postal_asian_pop_1caee5b9

Datatype: FLOAT Description: Asian Population. The number of people identifying as Asian, non-Hispanic in each geography.

f_location_country_postal_asian_population_prcnt_a93958d5

Datatype: FLOAT Description: Percentage of asian residents in the postal code area

f_location_country_postal_hispanic_pop_92e663d7

Datatype: FLOAT Description: Hispanic Population. The number of people identifying as Hispanic or Latino in each geography.

f_location_country_postal_hispanic_population_prcnt_7889d83c

Datatype: FLOAT Description: Percentage of hispanic residents in the postal code area

f_location_country_postal_amerindian_pop_fa600fb6

Datatype: FLOAT Description: American Indian and Alaska Native Population. The number of people identifying as American Indian or Alaska native in each geography.

f_location_country_postal_amerindian_population_prcnt_43de9dff

Datatype: FLOAT Description: Percentage of american indian residents in the postal code area

f_location_country_postal_other_race_pop_940b4588

Datatype: FLOAT Description: Other Race population. The number of people identifying as another race in each geography

f_location_country_postal_other_race_population_prcnt_074d6009

Datatype: FLOAT Description: Percentage of other races residents in the postal code area

f_location_country_postal_two_or_more_races_pop_d2d0c55c

Datatype: FLOAT Description: Two or more races population. The number of people identifying as two or more races in each geography

f_location_country_postal_hispanic_any_race_4a74fab4

Datatype: FLOAT Description: Hispanic of any race

f_location_country_postal_not_hispanic_pop_5a1f22c6

Datatype: FLOAT Description: Population not Hispanic. The number of people not identifying as Hispanic or Latino in each geography.

f_location_country_postal_asian_male_45_54_0dd73042

Datatype: FLOAT Description: The number of male asian residents aged 45 to 54 years living in the postal code area

f_location_country_postal_asian_male_55_64_ea418930

Datatype: FLOAT Description: The number of male asian residents aged 55 to 64 years living in the postal code area

f_location_country_postal_black_male_45_54_6ea67af7

Datatype: FLOAT Description: The number of male black residents aged 45 to 54 years living in the postal code area

f_location_country_postal_black_male_55_64_84c4d79a

Datatype: FLOAT Description: The number of male black residents aged 55 to 64 years living in the postal code area

f_location_country_postal_hispanic_male_45_54_b3f07315

Datatype: FLOAT Description: The number of male hispanic residents aged 45 to 54 years living in the postal code area

f_location_country_postal_hispanic_male_55_64_131e36a8

Datatype: FLOAT Description: The number of male hispanic residents aged 55 to 64 years living in the postal code area

f_location_country_postal_white_male_45_54_91cd7c05

Datatype: FLOAT Description: The number of male white residents aged 45 to 54 years living in the postal code area

f_location_country_postal_white_male_55_64_226d71a7

Datatype: FLOAT Description: The number of male white residents aged 55 to 64 years living in the postal code area

f_location_country_postal_median_income_8002d792

Datatype: FLOAT Description: Median Household Income in the past 12 Months. Within a geographic area, the median income received by every household on a regular basis before payments for personal income taxes, social security, union dues, medicare deductions, etc. It includes income received from wages, salary, commissions, bonuses, and tips; self-employment income from own nonfarm or farm businesses, including proprietorships and partnerships; interest, dividends, net rental income, royalty income, or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); any cash public assistance or welfare payments from the state or local welfare office; retirement, survivor, or disability benefits; and any other sources of income received regularly such as Veterans' (VA) payments, unemployment and/or worker's compensation, child support, and alimony.

f_location_country_postal_income_per_capita_e45f7ab2

Datatype: FLOAT Description: Per Capita Income in the past 12 Months. Per capita income is the mean income computed for every man, woman, and child in a particular group. It is derived by dividing the total income of a particular group by the total population.

f_location_country_postal_income_less_10000_1cc6fe33

Datatype: FLOAT Description: Households with income less than $10,000. The number of households in a geographic area whose annual income was less than $10,000.

f_location_country_postal_income_10000_14999_5105bfae

Datatype: FLOAT Description: Households with income of $10,000 to $14,999. The number of households in a geographic area whose annual income was between $10,000 and $14,999.

f_location_country_postal_income_15000_19999_131f8b59

Datatype: FLOAT Description: Households with income of $15,000 to $19,999. The number of households in a geographic area whose annual income was between $15,000 and $19,999.

f_location_country_postal_income_20000_24999_8ea2bb54

Datatype: FLOAT Description: Households with income of $20,000 to $24,999. The number of households in a geographic area whose annual income was between $20,000 and $24,999.

f_location_country_postal_income_25000_29999_61d776ee

Datatype: FLOAT Description: Households with income of $25,000 to $29,999. The number of households in a geographic area whose annual income was between $20,000 and $24,999.

f_location_country_postal_income_30000_34999_28d3c71a

Datatype: FLOAT Description: Households with income of $30,000 to $34,999. The number of households in a geographic area whose annual income was between $30,000 and $34,999.

f_location_country_postal_income_35000_39999_0e3eef22

Datatype: FLOAT Description: Households with income of $35,000 to $39,999. The number of households in a geographic area whose annual income was between $35,000 and $39,999.

f_location_country_postal_income_40000_44999_5e9126d1

Datatype: FLOAT Description: Households with income of $40,000 to $44,999. The number of households in a geographic area whose annual income was between $40,000 and $44,999.

f_location_country_postal_income_45000_49999_1a596cd5

Datatype: FLOAT Description: Households with income of $45,000 to $49,999. The number of households in a geographic area whose annual income was between $45,000 and $49,999.

f_location_country_postal_income_50000_59999_97f50ad5

Datatype: FLOAT Description: Households with income of $50,000 to $59,999. The number of households in a geographic area whose annual income was between $50,000 and $59,999.

f_location_country_postal_income_60000_74999_28b60a11

Datatype: FLOAT Description: Households with income of $60,000 to $74,999. The number of households in a geographic area whose annual income was between $60,000 and $74,999.

f_location_country_postal_income_75000_99999_220412df

Datatype: FLOAT Description: Households with income of $75,000 to $99,999. The number of households in a geographic area whose annual income was between $75,000 and $99,999.

f_location_country_postal_income_100000_124999_cfa47942

Datatype: FLOAT Description: Households with income of $100,000 to $124,999. The number of households in a geographic area whose annual income was between $100,000 and $124,999.

f_location_country_postal_income_125000_149999_9246ab3f

Datatype: FLOAT Description: Households with income of $125,000 to $149,999. The number of households in a geographic area whose annual income was between $125,000 and $149,999.

f_location_country_postal_income_150000_199999_7bba6139

Datatype: FLOAT Description: Households with income of $150,000 to $199,999. The number of households in a geographic area whose annual income was between $150,000 and $1999,999.

f_location_country_postal_income_200000_or_more_fe4d7c64

Datatype: FLOAT Description: Households with income of $200,000 Or More. The number of households in a geographic area whose annual income was more than $200,000.

f_location_country_postal_pop_determined_poverty_status_513e9b34

Datatype: FLOAT Description: Population for Whom Poverty Status Determined. The number of people in each geography who could be identified as either living in poverty or not. This should be used as the denominator when calculating poverty rates, as it excludes people for whom it was not possible to determine poverty.

f_location_country_postal_poverty_50ace3a5

Datatype: FLOAT Description: Income In The Past 12 Months Below Poverty Level. The number of people in a geographic area who are part of a family (which could be just them as an individual) determined to be "in poverty" following the Office of Management and Budget's Directive 14. (https://www.census.gov/hhes/povmeas/methodology/ombdir14.html)

f_location_country_postal_gini_index_c6eef9f9

Datatype: FLOAT Description: Gini Index. The Gini index, or index of income concentration, is a statistical measure of income inequality ranging from 0 to 1. A measure of 1 indicates perfect inequality, i.e., one household having all the income and rest having none. A measure of 0 indicates perfect equality, i.e., all households having an equal share of income.

f_location_country_postal_housing_units_89195ff7

Datatype: FLOAT Description: Housing Units. A count of housing units in each geography. A housing unit is a house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters.

f_location_country_postal_renter_occupied_housing_units_paying_cash_median_gross_rent_9c0beaa5

Datatype: FLOAT Description: Renter-Occupied Housing Units Paying Cash Rent Median Gross Rent

f_location_country_postal_owner_occupied_housing_units_lower_value_quartile_1f080641

Datatype: FLOAT Description: Owner-Occupied Housing Units Lower Value Quartile

f_location_country_postal_owner_occupied_housing_units_median_value_465b2694

Datatype: FLOAT Description: Owner-Occupied Housing Units Median Value. The middle value (median) in a geographic area owner occupied housing units.

f_location_country_postal_owner_occupied_housing_units_upper_value_quartile_fc58d84f

Datatype: FLOAT Description: Owner-Occupied Housing Units Upper Value Quartile

f_location_country_postal_occupied_housing_units_db809123

Datatype: FLOAT Description: Occupied housing units. A housing unit is classified as occupied if it is the usual place of residence of the person or group of people living in it at the time of enumeration.

f_location_country_postal_housing_units_renter_occupied_32b387cb

Datatype: FLOAT Description: Renter occupied housing units. All occupied units which are not owner occupied, whether they are rented for cash rent or occupied without payment of cash rent, are classified as renter-occupied.

f_location_country_postal_vacant_housing_units_55d5c58f

Datatype: FLOAT Description: Vacant Housing Units. The count of vacant housing units in a geographic area. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.

f_location_country_postal_vacant_housing_units_for_rent_00cf870c

Datatype: FLOAT Description: Vacant Housing Units for Rent. The count of vacant housing units in a geographic area that are for rent. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.

f_location_country_postal_vacant_housing_units_for_sale_71a09adf

Datatype: FLOAT Description: Vacant Housing Units for Sale. The count of vacant housing units in a geographic area that are for sale. A housing unit is vacant if no one is living in it at the time of enumeration, unless its occupants are only temporarily absent. Units temporarily occupied at the time of enumeration entirely by people who have a usual residence elsewhere are also classified as vacant.

f_location_country_postal_dwellings_1_units_detached_f102f297

Datatype: FLOAT Description: Single-family (one unit) detached dwellings. This is a 1-unit structure detached from any other house, that is, with open space on all four sides. Such structures are considered detached even if they have an adjoining shed or garage. A one-family house that contains a business is considered detached as long as the building has open space on all four sides. Mobile homes to which one or more permanent rooms have been added or built also are included.

f_location_country_postal_dwellings_1_units_attached_66943572

Datatype: FLOAT Description: Single-family (one unit) attached dwellings. This is a 1-unit structure that has one or more walls extending from ground to roof separating it from adjoining structures. In row houses (sometimes called townhouses), double houses, or houses attached to nonresidential structures, each house is a separate, attached structure if the dividing or common wall goes from ground to roof.

f_location_country_postal_dwellings_2_units_fbcb7dc6

Datatype: FLOAT Description: Two-family (two unit) dwellings

f_location_country_postal_dwellings_3_to_4_units_943b371e

Datatype: FLOAT Description: Multifamily dwellings with three to 4 units

f_location_country_postal_dwellings_5_to_9_units_9e88a902

Datatype: FLOAT Description: Apartment buildings with 5 to 9 units

f_location_country_postal_dwellings_10_to_19_units_6d4ffadb

Datatype: FLOAT Description: Apartment buildings with 10 to 19 units

f_location_country_postal_dwellings_20_to_49_units_16f95e41

Datatype: FLOAT Description: Apartment buildings with 20 to 49 units

f_location_country_postal_dwellings_50_or_more_units_59f98e32

Datatype: FLOAT Description: Apartment buildings with 50 or more units

f_location_country_postal_mobile_homes_a3fcf695

Datatype: FLOAT Description: Mobile homes. A manufactured home is defined as a movable dwelling, 8 feet or more wide and 40 feet or more long, designed to be towed on its own chassis, with transportation gear integral to the unit when it leaves the factory, and without need of a permanent foundation. These homes are built in accordance with the U.S. Department of Housing and Urban Development (HUD) building code.

f_location_country_postal_housing_built_2005_or_later_194c8c2e

Datatype: FLOAT Description: Housing units built in 2005 or later. A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built in 2005 or later.

f_location_country_postal_housing_built_2000_to_2004_84e1ba75

Datatype: FLOAT Description: Housing units built between 2000 and 2004. A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built from 2000 to 2004.

f_location_country_postal_housing_built_1939_or_earlier_c2779aad

Datatype: FLOAT Description: Housing units built before 1939. A house, an apartment, a mobile home or trailer, a group of rooms, or a single room occupied as separate living quarters, or if vacant, intended for occupancy as separate living quarters built in 1939 or earlier.

f_location_country_postal_median_year_structure_built_eb0c0347

Datatype: FLOAT Description: Median age of buildings in the postal code area

f_location_country_postal_married_households_eb2cf386

Datatype: FLOAT Description: Married households. People in formal marriages, as well as people in common-law marriages, are included. Does not include same-sex marriages.

f_location_country_postal_nonfamily_households_6c95fb30

Datatype: FLOAT Description: Number of nonfamily households in the postal code area

f_location_country_postal_family_households_e103566b

Datatype: FLOAT Description: Number of family households in the postal code area

f_location_country_postal_households_public_asst_or_food_stamps_3d1d3294

Datatype: FLOAT Description: Households on cash public assistance or receiving food stamps (SNAP)

f_location_country_postal_male_male_households_c198b87f

Datatype: FLOAT Description: Households with two male partners. An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has an intimate relationship with the householder.

f_location_country_postal_female_female_households_3349a3cb

Datatype: FLOAT Description: Households with two female partners. An unmarried partner is a person age 15 years and over, who is not related to the householder, who shares living quarters, and who has an intimate relationship with the householder.

f_location_country_postal_children_7693748b

Datatype: FLOAT Description: Children under 18 Years of Age. The number of people within each geography who are under 18 years of age.

f_location_country_postal_children_in_single_female_hh_183a80e1

Datatype: FLOAT Description: Children under 18 years of age in single female-led household

f_location_country_postal_median_rent_64b59e6d

Datatype: FLOAT Description: Median Rent. The median contract rent within a geographic area. The contract rent is the monthly rent agreed to or contracted for, regardless of any furnishings, utilities, fees, meals, or services that may be included. For vacant units, it is the monthly rent asked for the rental unit at the time of interview.

f_location_country_postal_percent_income_spent_on_rent_922dd40f

Datatype: FLOAT Description: Percent of Household Income Spent on Rent. Within a geographic area, the median percentage of household income which was spent on gross rent. Gross rent is the amount of the contract rent plus the estimated average monthly cost of utilities (electricity, gas, water, sewer etc.) and fuels (oil, coal, wood, etc.) if these are paid by the renter. Household income is the sum of the income of all people 15 years and older living in the household.

f_location_country_postal_rent_burden_not_computed_4ec2fe96

Datatype: FLOAT Description: Number of rent burden not computed in the postal code area

f_location_country_postal_rent_over_50_percent_e95b43fa

Datatype: FLOAT Description: Housing units spending over 50% income on rent. Gross rent over 50 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_40_to_50_percent_72a767ea

Datatype: FLOAT Description: Housing units spending 40 to 49.9% income on rent. Gross rent from 40.0 to 49.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_35_to_40_percent_b122ecf4

Datatype: FLOAT Description: Housing units spending 35 to 39.9% income on rent. Gross rent from 35.0 to 39.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_30_to_35_percent_1c716992

Datatype: FLOAT Description: Housing units spending 30 to 34.9% income on rent. Gross rent from 30.0 to 34.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_25_to_30_percent_4890db0d

Datatype: FLOAT Description: Housing units spending 25 to 29.9% income on rent. Gross rent from 25.0 to 29.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_20_to_25_percent_648eaedf

Datatype: FLOAT Description: Housing units spending 20 to 24.9% income on rent. Gross rent from 20.0 to 24.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_15_to_20_percent_bb75005f

Datatype: FLOAT Description: Housing units spending 15 to 19.9% income on rent. Gross rent from 15.0 to 19.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_10_to_15_percent_5b2fce11

Datatype: FLOAT Description: Housing units spending 10 to 14.9% income on rent. Gross rent from 10.0 to 14.9 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_rent_under_10_percent_0c2866f7

Datatype: FLOAT Description: Housing units spending less than 10% on rent. Gross rent less than 10 percent of household income. Computed ratio of monthly gross rent to monthly household income (total household income divided by 12). The ratio is computed separately for each unit and is rounded to the nearest tenth. Units for which no rent is paid and units occupied by households that report no income or a net loss comprise the category, "Not computed". Gross rent as a percentage of household income provides information on the monthly housing cost expenses for renters.

f_location_country_postal_owner_occupied_housing_units_e430068b

Datatype: FLOAT Description: Owner-occupied Housing Units

f_location_country_postal_million_dollar_housing_units_e32b297a

Datatype: FLOAT Description: Owner-occupied Housing Units valued at $1,000,000 or more.. The count of owner occupied housing units in a geographic area that are valued at $1,000,000 or more. Value is the respondent's estimate of how much the property (house and lot, mobile home and lot, or condominium unit) would sell for if it were for sale.

f_location_country_postal_mortgaged_housing_units_74eb279b

Datatype: FLOAT Description: Owner-occupied Housing Units with a Mortgage. The count of housing units within a geographic area that are mortagaged. "Mortgage" refers to all forms of debt where the property is pledged as security for repayment of the debt, including deeds of trust, trust deed, contracts to purchase, land contracts, junior mortgages, and home equity loans.

f_location_country_postal_different_house_year_ago_different_city_8dbd72f8

Datatype: FLOAT Description: Lived in a different house one year ago in a different city. All people in a geographic area who lived in a different city within the year prior to the survey.

f_location_country_postal_different_house_year_ago_same_city_8cfc5e92

Datatype: FLOAT Description: Lived in a different house one year ago in the same city. All people in a geographic area who lived in the same city but moved to a different unit within the year prior to the survey.

f_location_country_postal_families_with_young_children_ee0f6854

Datatype: FLOAT Description: Families with young children (under 6 years of age)

f_location_country_postal_two_parent_families_with_young_children_742670ea

Datatype: FLOAT Description: Two-parent families with young children (under 6 years of age)

f_location_country_postal_two_parents_in_labor_force_families_with_young_children_df72eb3e

Datatype: FLOAT Description: Two-parent families, both parents in labor force with young children (under 6 years of age)

f_location_country_postal_two_parents_father_in_labor_force_families_with_young_children_0b2c8637

Datatype: FLOAT Description: Two-parent families, father only in labor force with young children (under 6 years of age)

f_location_country_postal_two_parents_mother_in_labor_force_families_with_young_children_424d090f

Datatype: FLOAT Description: Two-parent families, mother only in labor force with young children (under 6 years of age)

f_location_country_postal_two_parents_not_in_labor_force_families_with_young_children_617964ae

Datatype: FLOAT Description: Two-parent families, neither parent in labor force with young children (under 6 years of age)

f_location_country_postal_one_parent_families_with_young_children_76619736

Datatype: FLOAT Description: One-parent families with young children (under 6 years of age)

f_location_country_postal_father_one_parent_families_with_young_children_dccea010

Datatype: FLOAT Description: One-parent families, father, with young children (under 6 years of age)

f_location_country_postal_father_in_labor_force_one_parent_families_with_young_children_adde9fd5

Datatype: FLOAT Description: One-parent families, father in labor force, with young children (under 6 years of age)

f_location_country_postal_commute_less_10_mins_83ef3c44

Datatype: FLOAT Description: Number of workers with a commute between 10 and 14 minutes. The number of workers in a geographic area over the age of 16 who do not work from home and commute in 10 and less minutes.

f_location_country_postal_commute_10_14_mins_559ebf1c

f_location_country_postal_commute_15_19_mins_1c556ddf

Datatype: FLOAT Description: Number of workers with a commute between 15 and 19 minutes. The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 15 and 19 minutes.

f_location_country_postal_commute_20_24_mins_1b5fe2b9

Datatype: FLOAT Description: Number of workers with a commute between 20 and 24 minutes. The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 20 and 24 minutes.

f_location_country_postal_commute_25_29_mins_0c102e67

Datatype: FLOAT Description: Number of workers with a commute between 25 and 29 minutes. The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 25 and 29 minutes.

f_location_country_postal_commute_30_34_mins_4c9264e5

Datatype: FLOAT Description: Number of workers with a commute between 30 and 34 minutes. The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 30 and 34 minutes.

f_location_country_postal_commute_35_44_mins_ad846ff9

Datatype: FLOAT Description: Number of workers with a commute between 45 and 59 minutes. The number of workers in a geographic area over the age of 16 who do not work from home and commute in between 35 and 44 minutes.

f_location_country_postal_commute_60_more_mins_e252bde0

f_location_country_postal_commute_45_59_mins_93c1f07e

f_location_country_postal_commuters_16_over_e3f25d84

Datatype: FLOAT Description: ``

f_location_country_postal_walked_to_work_19ea9788

Datatype: FLOAT Description: Walked to Work. The number of workers age 16 years and over within a geographic area who primarily walked to work. This would mean that of any way of getting to work, they travelled the most distance walking.

f_location_country_postal_worked_at_home_67667326

Datatype: FLOAT Description: Worked at Home. The count within a geographical area of workers over the age of 16 who worked at home.

f_location_country_postal_no_car_3160b67f

Datatype: FLOAT Description: Workers age 16 and over with no vehicle. All people in a geographic area over the age of 16 who do not own a car.

f_location_country_postal_no_car_population_prcnt_1e552de2

Datatype: FLOAT Description: Percentage of people who do not own a car.

f_location_country_postal_no_cars_c270c0ea

Datatype: FLOAT Description: Car-free households. The number of households without passenger cars, vans, and pickup or panel trucks of one-ton capacity or less kept at home and available for the use of household members. Vehicles rented or leased for one month or more, company vehicles, and police and government vehicles are included if kept at home and used for non-business purposes. Dismantled or immobile vehicles ware excluded. Vehicles kept at home but used only for business purposes also are excluded.

f_location_country_postal_one_car_66386b38

Datatype: FLOAT Description: One car households. The number of households with one passenger car, van, , pickup or panel trucks of one-ton capacity or less kept at home and available for the use of household members. Vehicles rented or leased for one month or more, company vehicles, and police and government vehicles are included if kept at home and used for non-business purposes. Dismantled or immobile vehicles ware excluded. Vehicles kept at home but used only for business purposes also are excluded.

f_location_country_postal_two_cars_1cf721cc

Datatype: FLOAT Description: Two car households. The number of households with two passenger cars, vans, pickup or panel trucks of one-ton capacity or less kept at home and available for the use of household members. Vehicles rented or leased for one month or more, company vehicles, and police and government vehicles are included if kept at home and used for non-business purposes. Dismantled or immobile vehicles ware excluded. Vehicles kept at home but used only for business purposes also are excluded.

f_location_country_postal_three_cars_49851255

Datatype: FLOAT Description: Three car households. The number of households with one passenger cars, vans, pickup or panel trucks of one-ton capacity or less kept at home and available for the use of household members. Vehicles rented or leased for one month or more, company vehicles, and police and government vehicles are included if kept at home and used for non-business purposes. Dismantled or immobile vehicles ware excluded. Vehicles kept at home but used only for business purposes also are excluded.

f_location_country_postal_four_more_cars_d1b42508

Datatype: FLOAT Description: Four car households. The number of households with four or more passenger cars, vans, pickup or panel trucks of one-ton capacity or less kept at home and available for the use of household members. Vehicles rented or leased for one month or more, company vehicles, and police and government vehicles are included if kept at home and used for non-business purposes. Dismantled or immobile vehicles ware excluded. Vehicles kept at home but used only for business purposes also are excluded.

f_location_country_postal_four_more_cars_population_prcnt_8b44c85b

Datatype: FLOAT Description: Percentage of four car households

f_location_country_postal_aggregate_travel_time_to_work_df58685a

Datatype: FLOAT Description: Aggregate travel time to work. The total number of minutes every worker in a geographic area over the age of 16 who did not work from home spent spent commuting to work in one day

f_location_country_postal_commuters_by_public_transportation_c68799cc

Datatype: FLOAT Description: Commuters by Public Transportation. The number of workers age 16 years and over within a geographic area who primarily traveled to work by public transportation. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.

f_location_country_postal_commuters_by_bus_2645d0a0

Datatype: FLOAT Description: Commuters by Bus. The number of workers age 16 years and over within a geographic area who primarily traveled to work by bus. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work. This is a subset of workers who commuted by public transport.

f_location_country_postal_commuters_by_car_truck_van_3ad74f8c

Datatype: FLOAT Description: Commuters by Car, Truck, or Van. The number of workers age 16 years and over within a geographic area who primarily traveled to work by car, truck or van. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.

f_location_country_postal_commuters_by_carpool_1bffdb33

Datatype: FLOAT Description: Commuters by Carpool. The number of workers age 16 years and over within a geographic area who primarily traveled to work by carpool. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.

f_location_country_postal_commuters_by_subway_or_elevated_7f9a51d2

Datatype: FLOAT Description: Commuters by Subway or Elevated. The number of workers age 16 years and over within a geographic area who primarily traveled to work by subway or elevated train. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work. This is a subset of workers who commuted by public transport.

f_location_country_postal_commuters_drove_alone_9f30789d

Datatype: FLOAT Description: Commuters who drove alone. The number of workers age 16 years and over within a geographic area who primarily traveled by car driving alone. This is the principal mode of travel or type of conveyance, by distance rather than time, that the worker usually used to get from home to work.

f_location_country_postal_group_quarters_c7b640d4

Datatype: FLOAT Description: Population living in group quarters

f_location_country_postal_associates_degree_d4ab5104

Datatype: FLOAT Description: Population Completed Associate's Degree. The number of people in a geographic area over the age of 25 who obtained a associate's degree, and did not complete a more advanced degree.

f_location_country_postal_bachelors_degree_cb6bfb84

Datatype: FLOAT Description: Population Completed Bachelor's Degree. The number of people in a geographic area over the age of 25 who obtained a bachelor's degree, and did not complete a more advanced degree.

f_location_country_postal_high_school_diploma_fea097c1

Datatype: FLOAT Description: Population Completed High School. The number of people in a geographic area over the age of 25 who completed high school, and did not complete a more advanced degree.

f_location_country_postal_less_one_year_college_e27be2de

Datatype: FLOAT Description: Population completed less than one year of college, no degree. The number of people in a geographic area over the age of 25 who attended college for less than one year and no further.

f_location_country_postal_masters_degree_9eef4802

Datatype: FLOAT Description: Population Completed Master's Degree. The number of people in a geographic area over the age of 25 who obtained a master's degree, but did not complete a more advanced degree.

f_location_country_postal_one_year_more_college_a66e6bc9

Datatype: FLOAT Description: Population completed more than one year of college, no degree. The number of people in a geographic area over the age of 25 who attended college for more than one year but did not obtain a degree

f_location_country_postal_less_than_high_school_graduate_a4b1e0d9

Datatype: FLOAT Description: Less than high school graduate. The number of people in a geographic area over the age of 25 who have not completed high school or any other advanced degree.

f_location_country_postal_high_school_including_ged_d72fa657

Datatype: FLOAT Description: Population with high school degree, including GED. The number of people in a geographic area over the age of 25 who attained a high school degree or GED.

f_location_country_postal_bachelors_degree_2_4f209b14

Datatype: FLOAT Description: Population who completed a bachelor's degree. From mobility table.

f_location_country_postal_bachelors_degree_or_higher_25_64_45b381ab

Datatype: FLOAT Description: Population with Bachelors Degree or Higher, Ages 25 to 64. The number of people in each geography who are between the ages of 25 and 64 who have attained a bachelors degree or higher.

f_location_country_postal_graduate_professional_degree_70cad6a9

Datatype: FLOAT Description: Population who completed a graduate or professional degree

f_location_country_postal_some_college_and_associates_degree_7997b17a

Datatype: FLOAT Description: Population who completed some college or obtained associate's degree. The number of people in a geographic area over the age of 25 who obtained an associate's degree, and did not complete a more advanced degree.

f_location_country_postal_male_45_64_associates_degree_bc5b5486

Datatype: FLOAT Description: Men age 45 to 64 who obtained an associate's degree

f_location_country_postal_male_45_64_bachelors_degree_1ca62559

Datatype: FLOAT Description: Men age 45 to 64 who obtained a bachelor's degree

f_location_country_postal_male_45_64_graduate_degree_34bf6a7e

Datatype: FLOAT Description: Men age 45 to 64 who obtained a graduate or professional degree

f_location_country_postal_male_45_64_less_than_9_grade_f1a0fa54

Datatype: FLOAT Description: Men age 45 to 64 who attained less than a 9th grade education

f_location_country_postal_male_45_64_grade_9_12_5a05dd32

Datatype: FLOAT Description: Men age 45 to 64 who attained between 9th and 12th grade, no diploma

f_location_country_postal_male_45_64_high_school_730f5584

Datatype: FLOAT Description: Men age 45 to 64 who completed high school or obtained GED

f_location_country_postal_male_45_64_some_college_d9768bb4

Datatype: FLOAT Description: Men age 45 to 64 who completed some college, no degree

f_location_country_postal_male_45_to_64_b13bc0d8

Datatype: FLOAT Description: Men age 45 to 64 ("middle aged"). The male population between the age of fourty-five years to sixty-four years within the specified area.

f_location_country_postal_employed_pop_d951a9e1

Datatype: FLOAT Description: Employed Population. The number of civilians 16 years old and over in each geography who either (1) were "at work," that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were "with a job but not at work," that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.

f_location_country_postal_unemployed_pop_f9adc225

Datatype: FLOAT Description: Unemployed Population. The number of civilians 16 years old and over in each geography who has no work.

f_location_country_postal_unemployed_population_prcnt_5ef2c0d6

Datatype: FLOAT Description: Percentage of unemployed population

f_location_country_postal_pop_in_labor_force_8ce11997

Datatype: FLOAT Description: Population in Labor Force. The number of people in each geography who are either in the civilian labor force or are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).

f_location_country_postal_not_in_labor_force_3f73c90c

Datatype: FLOAT Description: Population Not in Labor Force. The number of people in each geography who are 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, homemakers, retired workers, seasonal workers interviewed in an off season who were not looking for work, institutionalized people, and people doing only incidental unpaid family work (less than 15 hours during the reference week).

f_location_country_postal_workers_16_and_over_393597ea

Datatype: FLOAT Description: Workers over the Age of 16. The number of people in each geography who work. Workers include those employed at private for-profit companies, the self-employed, government workers and non-profit employees.

f_location_country_postal_armed_forces_1a6143cf

Datatype: FLOAT Description: Population in Armed Forces. The number of people in each geography who are members of the U.S. Armed Forces (people on active duty with the United States Army, Air Force, Navy, Marine Corps, or Coast Guard).

f_location_country_postal_civilian_labor_force_0aa3af87

Datatype: FLOAT Description: Population in Civilian Labor Force. The number of civilians 16 years and over in each geography who can be classified as either "employed" or "unemployed" below.

f_location_country_postal_employed_agriculture_forestry_fishing_hunting_mining_e4dbd875

Datatype: FLOAT Description: Workers employed in firms in agriculture, forestry, fishing, hunting, or mining. The Agriculture, Forestry, Fishing and Hunting sector comprises establishments primarily engaged in growing crops, raising animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats.

f_location_country_postal_employed_arts_entertainment_recreation_accommodation_food_23a53771

Datatype: FLOAT Description: Workers employed in firms in arts, entertainment, recreation, accommodation and food services. The Arts, Entertainment, and Recreation sector includes a wide range of establishments that operate facilities or provide services to meet varied cultural, entertainment, and recreational interests of their patrons. This sector comprises (1) establishments that are involved in producing, promoting, or participating in live performances, events, or exhibits intended for public viewing; (2) establishments that preserve and exhibit objects and sites of historical, cultural, or educational interest; and (3) establishments that operate facilities or provide services that enable patrons to participate in recreational activities or pursue amusement, hobby, and leisure-time interests.

f_location_country_postal_employed_construction_5a003115

Datatype: FLOAT Description: Workers employed in firms in construction. The Construction sector comprises establishments primarily engaged in the construction of buildings or engineering projects (e.g., highways and utility systems). Construction work done may include new work, additions, alterations, or maintenance and repairs.

f_location_country_postal_employed_education_health_social_1f2ad28b

Datatype: FLOAT Description: Workers employed in firms in educational services, health care, and social assistance. Outpatient health services, other than hospital care, including: public health administration; research and education; categorical health programs; treatment and immunization clinics; nursing; environmental health activities such as air and water pollution control; ambulance service if provided separately from fire protection services, and other general public health activities such as mosquito abatement. School health services provided by health agencies (rather than school agencies) are included here. Sewage treatment operations are classified under Sewerage.

f_location_country_postal_employed_finance_insurance_real_estate_7dbffe8f

Datatype: FLOAT Description: Workers employed in firms in finance, insurance, real estate and rental and leasing. The Real Estate and Rental and Leasing sector comprises establishments primarily engaged in renting, leasing, or otherwise allowing the use of tangible or intangible assets, and establishments providing related services. The major portion of this sector comprises establishments that rent, lease, or otherwise allow the use of their own assets by others. The assets may be tangible, as is the case of real estate and equipment, or intangible, as is the case with patents and trademarks.

f_location_country_postal_employed_information_3cb819c9

Datatype: FLOAT Description: Workers employed in firms in information. The Information sector comprises establishments engaged in the following processes: (a) producing and distributing information and cultural products, (b) providing the means to transmit or distribute these products as well as data or communications, and (c) processing data. Included are the publishing industries, the motion picture and sound recording industries; the broadcasting industries, the telecommunications industries; Web search portals, data processing industries, and the information services industries.

f_location_country_postal_employed_manufacturing_0e89967c

Datatype: FLOAT Description: Workers employed in firms in manufacturing. The Manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products.

f_location_country_postal_employed_other_services_not_public_admin_b1f2e339

Datatype: FLOAT Description: Workers employed in firms in other services except public administration. The Other Services (Except Public Administration) sector comprises establishments engaged in providing services not specifically provided for elsewhere in the classification system. Establishments in this sector are primarily engaged in activities such as equipment and machinery repairing, promoting or administering religious activities, grantmaking, advocacy, and providing drycleaning and laundry services, personal care services, death care services, pet care services, photofinishing services, temporary parking services, and dating services. Private households that engage in employing workers on or about the premises in activities primarily concerned with the operation of the household are included in this sector.

f_location_country_postal_employed_public_administration_7c00eb91

Datatype: FLOAT Description: Workers employed in firms in public administration. The Public Administration sector consists of establishments of federal, state, and local government agencies that administer, oversee, and manage public programs and have executive, legislative, or judicial authority over other institutions within a given area. These agencies also set policy, create laws, adjudicate civil and criminal legal cases, provide for public safety and for national defense. In general, government establishments in the public administration sector oversee governmental programs and activities that are not performed by private establishments.

f_location_country_postal_employed_retail_trade_23f75368

Datatype: FLOAT Description: Workers employed in firms in retail trade. The Retail Trade sector comprises establishments engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The retailing process is the final step in the distribution of merchandise; retailers are, therefore, organized to sell merchandise in small quantities to the general public.

f_location_country_postal_employed_science_management_admin_waste_58cfd741

Datatype: FLOAT Description: Workers employed in firms in professional scientific, management, administrative and waste management services. The Administrative and Support and Waste Management and Remediation Services sector comprises establishments performing routine support activities for the day-to-day operations of other organizations. The establishments in this sector specialize in one or more of these support activities and provide these services to clients in a variety of industries and, in some cases, to households. Activities performed include office administration, hiring and placing of personnel, document preparation and similar clerical services, solicitation, collection, security and surveillance services, cleaning, and waste disposal services.

f_location_country_postal_employed_transportation_warehousing_utilities_d61f0bd0

Datatype: FLOAT Description: Workers employed in firms in transportation, warehousing, and utilities. The Transportation and Warehousing sector includes industries providing transportation of passengers and cargo, warehousing and storage for goods, scenic and sightseeing transportation, and support activities related to modes of transportation. The modes of transportation are air, rail, water, road, and pipeline.

f_location_country_postal_employed_wholesale_trade_cd3f55b4

Datatype: FLOAT Description: Workers employed in firms in wholesale trade. The Wholesale Trade sector comprises establishments engaged in wholesaling merchandise, generally without transformation, and rendering services incidental to the sale of merchandise. The wholesaling process is an intermediate step in the distribution of merchandise. Wholesalers are organized to sell or arrange the purchase or sale of (a) goods for resale (i.e., goods sold to other wholesalers or retailers), (b) capital or durable nonconsumer goods, and (c) raw and intermediate materials and supplies used in production.

f_location_country_postal_occupation_management_arts_98a450bf

Datatype: FLOAT Description: Workers employed in management business science and arts occupations

f_location_country_postal_occupation_natural_resources_construction_maintenance_787e9837

Datatype: FLOAT Description: Workers employed in natural resources, construction, and maintenance occupations

f_location_country_postal_occupation_production_transportation_material_5dd0eaa7

Datatype: FLOAT Description: Workers employed in production, transportation, and material moving

f_location_country_postal_occupation_sales_office_b48ae1cf

Datatype: FLOAT Description: Workers employed in sales and office occupations

f_location_country_postal_occupation_services_1a6f3a30

Datatype: FLOAT Description: Workers employed in service occupations

f_location_country_postal_management_business_sci_arts_employed_8dba56e9

Datatype: FLOAT Description: Civilian Employed Population in Management, Business, Science, and Arts Occupations. The number of employed civilians 16 years old and over in each geography in the Management, Business, Science, and Arts occupations. Occupation codes are based on the Standard Occupational Classification (SOC), published by the Executive Office of the President, Office of Management and Budget.

f_location_country_postal_sales_office_employed_b9db6bd7

Datatype: FLOAT Description: Civilian Employed Population in Sales and Office Occupations. The number of employed civilians 16 years old and over in each geography in the Sales and Office occupations. Occupation codes are based on the Standard Occupational Classification (SOC), published by the Executive Office of the President, Office of Management and Budget.

f_location_country_postal_in_grades_1_to_4_cffc6bfb

Datatype: FLOAT Description: Students Enrolled in Grades 1 to 4. The total number of people in each geography currently enrolled in grades 1 through 4 inclusive. This corresponds roughly to elementary school.

f_location_country_postal_in_grades_5_to_8_31e58a41

Datatype: FLOAT Description: Students Enrolled in Grades 5 to 8. The total number of people in each geography currently enrolled in grades 5 through 8 inclusive. This corresponds roughly to middle school.

f_location_country_postal_in_grades_9_to_12_fcde5506

Datatype: FLOAT Description: Students Enrolled in Grades 9 to 12. The total number of people in each geography currently enrolled in grades 9 through 12 inclusive. This corresponds roughly to high school.

f_location_country_postal_in_school_ce5cdec5

Datatype: FLOAT Description: Students Enrolled in School. The total number of people in each geography currently enrolled at any level of school, from nursery or pre-school to advanced post-graduate education. Only includes those over the age of 3.

f_location_country_postal_in_undergrad_college_97bb6b94

Datatype: FLOAT Description: Students Enrolled as Undergraduate in College. The number of people in a geographic area who are enrolled in college at the undergraduate level. Enrollment refers to being registered or listed as a student in an educational program leading to a college degree. This may be a public school or college, a private school or college.

f_location_country_postal_speak_only_english_at_home_2e790fe9

Datatype: FLOAT Description: Speaks only English at Home. The number of people in a geographic area over age 5 who speak only English at home.

f_location_country_postal_speak_spanish_at_home_cb15eb14

Datatype: FLOAT Description: Speaks Spanish at Home. The number of people in a geographic area over age 5 who speak Spanish at home, possibly in addition to other languages.

f_location_country_postal_speak_spanish_at_home_low_english_fad550a3

Datatype: FLOAT Description: Speaks Spanish at Home, speaks English less than "very well"

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Last updated 2 years ago