ZipDemography: Demographic information for most US ZIP Codes (Postal Codes)
In dtkaplan/DCF: Distributing materials for the DCF course
Usage
1
data("ZipDemography")
Format
A data frame with 42741 observations on the following 44 variables.
Totalpopulationa numeric vector
Malea numeric vector
Femalea numeric vector
MedianAgea numeric vector
Under5yearsa numeric vector
X18yearsandovera numeric vector
X65yearsandovera numeric vector
Oneracea numeric vector
Whitea numeric vector
BlackorAfricanAmericana numeric vector
AmericanIndianandAlaskaNativea numeric vector
Asiana numeric vector
NativeHawaiianandOtherPacificIslandera numeric vector
Someotherracea numeric vector
Twoormoreracesa numeric vector
HispanicorLatinoofanyracea numeric vector
AverageHouseholdSizea numeric vector
Averagefamilysizea numeric vector
Totalhousingunitsa numeric vector
Occupiedhousingunitsa numeric vector
Owneroccupiedhousingunitsa numeric vector
Renteroccupiedhousingunitsa numeric vector
Vacanthousingunitsa numeric vector
Population25yearsandovera numeric vector
Highschoolgraduateorhighera numeric vector
Bachelorsdegreeorhighera numeric vector
Civilianveteransa numeric vector
Disabilitystatuspopulation21to64yearsa numeric vector
Foreignborna numeric vector
Nowmarriedpopulation15yearsandovera numeric vector
SpeakalanguageotherthanEnglishathome5yearsandovera numeric vector
Inlaborforcepopulation16yearsandovera numeric vector
Meantraveltimetoworkinminutespopulation16yearsandoldera numeric vector
Medianhouseholdincomedollarsa numeric vector
Medianfamilyincomedollarsa numeric vector
Percapitaincomedollarsa numeric vector
Familiesbelowpovertylevela numeric vector
Individualsbelowpovertylevela numeric vector
Singlefamilyowneroccupiedhomesa numeric vector
Medianvaluedollarsa numeric vector
Medianofselectedmonthlyownercostsa numeric vector
WithaMortgagea numeric vector
Notmortgageda numeric vector
ZIPa character vector
Examples
1
dtkaplan/DCF documentation built on May 15, 2019, 4:57 p.m.
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Usage
1 | data("ZipDemography")
|
Format
A data frame with 42741 observations on the following 44 variables.
Totalpopulationa numeric vector
Malea numeric vector
Femalea numeric vector
MedianAgea numeric vector
Under5yearsa numeric vector
X18yearsandovera numeric vector
X65yearsandovera numeric vector
Oneracea numeric vector
Whitea numeric vector
BlackorAfricanAmericana numeric vector
AmericanIndianandAlaskaNativea numeric vector
Asiana numeric vector
NativeHawaiianandOtherPacificIslandera numeric vector
Someotherracea numeric vector
Twoormoreracesa numeric vector
HispanicorLatinoofanyracea numeric vector
AverageHouseholdSizea numeric vector
Averagefamilysizea numeric vector
Totalhousingunitsa numeric vector
Occupiedhousingunitsa numeric vector
Owneroccupiedhousingunitsa numeric vector
Renteroccupiedhousingunitsa numeric vector
Vacanthousingunitsa numeric vector
Population25yearsandovera numeric vector
Highschoolgraduateorhighera numeric vector
Bachelorsdegreeorhighera numeric vector
Civilianveteransa numeric vector
Disabilitystatuspopulation21to64yearsa numeric vector
Foreignborna numeric vector
Nowmarriedpopulation15yearsandovera numeric vector
SpeakalanguageotherthanEnglishathome5yearsandovera numeric vector
Inlaborforcepopulation16yearsandovera numeric vector
Meantraveltimetoworkinminutespopulation16yearsandoldera numeric vector
Medianhouseholdincomedollarsa numeric vector
Medianfamilyincomedollarsa numeric vector
Percapitaincomedollarsa numeric vector
Familiesbelowpovertylevela numeric vector
Individualsbelowpovertylevela numeric vector
Singlefamilyowneroccupiedhomesa numeric vector
Medianvaluedollarsa numeric vector
Medianofselectedmonthlyownercostsa numeric vector
WithaMortgagea numeric vector
Notmortgageda numeric vector
ZIPa character vector
Examples
1 |
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