ethan bhojani and zhong huang 02 april, 2020

Durham County Social Determinants of Health Dataset CodebookEthan Bhojani and Zhong Huang

02 April, 2020

1

Data Sources and Associated Permissions

Source Abbreviation Permission Description Access MethodNational AddressDatabase

NAD Public Domain Database of all registered addresses in the US &associated information. For this dataset, theNAD collected data from the North CarolinaCenter for Geographic Information and Analysis(NCCGIA)

Locally Downloaded

LogitudinalEmployer-HouseholdDynamicsOrigin-DestinationEmployment Statistics

LODES Open Data CommonsAttribution License

Contains census tract level information onnumber of jobs by place of work and by place ofresidence and worker and job characteristics.Cleaned by the Urban Institute.

Online Link

Census Geocoder GEO GNU General PublicLicense

API used to code census tracts onto long/latCoordinates, accessed via the geocoder library

Python Package Call

500 Cities 500 Public Domain Model-based small area estimates for 27measures of chronic disease related to unhealthybehaviors (5), health outcomes (13), and use ofpreventive services (9). Data were provided bythe Centers for Disease Control and Prevention(CDC), Division of Population Health,Epidemiology and Surveillance Branch.

API

DataWorks NC DataWorks Public Domain The DataWorks NC Durham NeighborhoodCompass is a quantitative indicators project withqualitative values, integrating data from localgovernment, the Census Bureau and other stateand federal agencies. Please note that this datawas manually downloaded from the Github pagefor DataWorks’ Neighborhood Compass (underthe metric folder).

Locally Downloaded

2

https://www.transportation.gov/gis/national-address-database/national-address-database-0

https://www.transportation.gov/gis/national-address-database/national-address-database-0

https://datacatalog.urban.org/dataset/longitudinal-employer-household-dynamics-origin-destination-employment-statistics-lodes





https://geocoding.geo.census.gov/

https://github.com/fitnr/censusgeocode

https://chronicdata.cdc.gov/500-Cities/500-Cities-Local-Data-for-Better-Health-2018-relea/6vp6-wxuq

https://dataworks-nc.org/

https://github.com/DataWorks-NC/durham-quality-of-life-data

(continued)Source Abbreviation Permission Description Access Method

Durham Real PropertyDatabase

Property Public Domain The Real Property Database is the real estatebilling files for all of Durham County. It includesinformation like maintenance, property value,land use, etc.

Locally Downloaded

Durham Elementary,Middle, and High SchoolZone Assignments

School Zone Public Domain [In progress] GIS files of Durham schoolassignments based on address. While theelementary school zone assignments are publicallyavailable, we had to submit a request for middleschool and high school zones. Please refer toREADME in Github/Box for more information.

Locally Downloaded

NC School ReportCards Dataset

School Performance Public Domain School performance information for all schools inNorth Carolina

Locally Downloaded

IRS Individual IncomeTax Statistics

IRS Public Domain ZIP Code data show selected income and taxitems classified by State, ZIP Code, and size ofadjusted gross income. Data are based onindividual income tax returns filed with the IRSand are available for Tax Years 1998, 2001, and2004 through 2016.

Locally Downloaded

3

https://www.dconc.gov/government/departments-f-z/tax-administration/data-files

https://www.dconc.gov/government/departments-f-z/tax-administration/data-files

https://live-durhamnc.opendata.arcgis.com/datasets/01cfffa1956544cea394969e58c45880_0

http://www.ncpublicschools.org/src/researchers/

http://www.ncpublicschools.org/src/researchers/

https://www.irs.gov/statistics/soi-tax-stats-individual-income-tax-statistics-zip-code-data-soi

https://www.irs.gov/statistics/soi-tax-stats-individual-income-tax-statistics-zip-code-data-soi

Contacts

Database Contact Name Information NotesNAD NA NA NA

LODES Graham MacDonald, Chief DataScientist at Urban Institute.

[email protected] Urban does not have dedicatedstaff for answering data queries,so they may be delayed at timesin responding.

GEO NA NA NA

500 NA NA NA

DataWorks John Killeen, Executive Director [email protected]

Property Kimberly Horton, TechnologySupport Specialist

[email protected] NA

School Zone Rob Cushman, GIS Analyst III [email protected] ext. 33247

Rob mentioned that he was aboutto retire when we spoke on8/1/19.

School Performance NA NA NA

IRS NA NA NA

4

Code Book

Abbreviations Full Name Meaning Unit DataLevel

LastUp-dated

Source

These addresses were dervied from the imperfect merger of NAD and Property. The source variable details whereeach address was derived from. Please see QC memo for more information.The census_tract variable was coded using the Long/Lat coordinates from NAD via the Census Geocoder.Unit Unit A group or suite of rooms within a building that are under

common ownership or tenancy, typically having a commonprimary entrance

NA AddressLevel

8/1/2017or01/01/2019

NCCGIA/NADor Property

Add_NumberAddressNumber

The whole number identifier of a location along a thoroughfare orwithin a defined community

NA AddressLevel

8/1/2017or01/01/2019


AddNum_SufAddressNumberSuffix

An extension of the Address Number that follows it and furtheridentifies a location along a thoroughfare or within a defined area

NA AddressLevel

8/1/2017or01/01/2019


StN_PreDirStreetName Pre-Directional

Word preceding the Street Name element that indicates thedirection taken by the street from an arbitrary starting point orline, or the sector where it is located

NA AddressLevel

8/1/2017or01/01/2019


StN_PreTypStreetNamePre-Type

Word or phrase that precedes the Street Name element andidentifies a type of thoroughfare in a complete street name

NA AddressLevel

8/1/2017or01/01/2019


StreetNameStreetName

The element of the complete street name that identifies theparticular street (as opposed to any street types, directionals, andmodifiers)

NA AddressLevel

8/1/2017or01/01/2019


StN_PosTypStreetNamePost Type

Word or phrase that follows the Street Name element andidentifies a type of thoroughfare in a complete street name

NA AddressLevel

8/1/2017or01/01/2019


StN_PosDirStreetNamePost Di-rectional

A word following the Street Name element that indicates thedirection taken by the street from an arbitrary starting point orline, or the sector where it is located

NA AddressLevel

8/1/2017or01/01/2019


5

(continued)Abbreviations Full Name Meaning Unit Data

LevelLastUp-dated

Source

County County Name of county or county-equivalent where the address islocated. Proper-case format with no suffix (i.e. Do not include“. . . County”). For this data set, it is all "Durham"

NA AddressLevel

8/1/2017or01/01/2019


State State Name of the state or state equivalent. For this data set, it is all"NC"

NA AddressLevel

8/1/2017or01/01/2019


Zip_Code Zip Code For standard street mail delivery (with a correspondinggeographic delivery area), the system of 5-digit codes thatidentifies the individual USPS Post Office associated with anaddress

NA AddressLevel

8/1/2017or01/01/2019


Inc_Muni IncorporatedMunicipal-ity

Name of the incorporated municipality or other general-purposelocal governmental unit where the address is located

NA AddressLevel

8/1/2017or01/01/2019


Post_CommPostalCommu-nityName

A city name for the ZIP code of an address, as given in the USPSCity State file

NA AddressLevel

8/1/2017or01/01/2019


Longitude AddressLongitude

Address Longitude, derived based on point placement NA AddressLevel

8/1/2017or01/01/2019


Latitude AddressLatitude

Address Latitude, derived based on point placement NA AddressLevel

8/1/2017or01/01/2019


Nat-Grid_Coord

NationalGrid Co-ordinates

National Grid Coordinate, derived based on point placement.Useful for GIS work

NA AddressLevel

8/1/2017or01/01/2019


Source Source NA AddressLevel

8/1/2017or01/01/2019


6


LevelLastUp-dated

Source

The following are variables from the Durham Real Property dataset. Note that some columns are actually categorical columnsthat have been encoded. The keys that denote the meaning of different variables are included in theProperty_Categorical_Keys.pdf

full_combineEntireAddressCombined

NA AddressLevel

8/1/2017or01/01/2019


build-ing_type

BuildingType

NA AddressLevel

8/1/2017or01/01/2019


errors Property/NADMergeErrors

NA AddressLevel

8/1/2017or01/01/2019


tax_yearTax Year Years Address

Level8/1/2017or01/01/2019


parcel_refParcelReference

NA AddressLevel

8/1/2017or01/01/2019


land_useLand UseCode

NA AddressLevel

8/1/2017or01/01/2019


tax_districtTaxDistrictCode

NA AddressLevel

8/1/2017or01/01/2019


subdivisionSubdivisionCode

NA AddressLevel

8/1/2017or01/01/2019


7


LevelLastUp-dated

Source

neigh-borhood

NeighborhoodCode

NA AddressLevel

8/1/2017or01/01/2019


date_soldDate Sold Years Address

Level8/1/2017or01/01/2019


sales_amountSalesAmount

$ AddressLevel

8/1/2017or01/01/2019


total_valueTotalAssessedValue

$ AddressLevel

8/1/2017or01/01/2019


land_sizeMap Acres Acres Address

Level8/1/2017or01/01/2019


lv_methodLandValueMethodCode

NA AddressLevel

8/1/2017or01/01/2019


stax_districtSplit TaxDistrictCode

NA AddressLevel

8/1/2017or01/01/2019


lpu_valueLandPresentUse Code

NA AddressLevel

8/1/2017or01/01/2019


land_valueLandAssessedValue

$ AddressLevel

8/1/2017or01/01/2019


8


LevelLastUp-dated

Source

year_builtActualYear Built

Years AddressLevel

8/1/2017or01/01/2019


heated_areaHeatedArea

SquareFeet

AddressLevel

8/1/2017or01/01/2019


built_usageBuildingUsageCode

NA AddressLevel

8/1/2017or01/01/2019


improvementImprovementCode

NA AddressLevel

8/1/2017or01/01/2019


repair_stateBuildingConditionCode

NA AddressLevel

8/1/2017or01/01/2019


heat Heat Code NA AddressLevel

8/1/2017or01/01/2019


bathroomsNumber ofBath-rooms

NA AddressLevel

8/1/2017or01/01/2019


half_bathroomsNumber ofHalf Bath-rooms

NA AddressLevel

8/1/2017or01/01/2019


bedroomsNumber ofBedrooms

NA AddressLevel

8/1/2017or01/01/2019


9


LevelLastUp-dated

Source

fireplace FireplacePresent

Binary AddressLevel

8/1/2017or01/01/2019


basementBasementPresent

Binary AddressLevel

8/1/2017or01/01/2019


at-tached_garage

AttachedGaragePresent

Binary AddressLevel

8/1/2017or01/01/2019


pri-mary_imp

PrimaryImprove-mentCount

NA AddressLevel

8/1/2017or01/01/2019


imp_valuePrimaryImprove-mentValue

$ AddressLevel

8/1/2017or01/01/2019


EHR_AddressElectronicHealthRecordAddress

The address formated similar to that of Duke’s Electronic HealthRecord

NA AddressLevel

6/7/2019 Self-derived

blockgroupCensusBlock-group

It is the smallest geographical unit the census bureau publishesdata, derived from address longitude and latitude

NA AddressLevel

5/24/2019 CensusGeocoder

census_tractCensusTract

An area roughly equivalent to a neighborhood established by theBureau of Census for analyzing populations. Derived fromaddress longitude and latitude

NA AddressLevel

5/24/2019 CensusGeocoder

10


LevelLastUp-dated

Source

The following data is from 500. There are two possible post-fixes after each variable. The first indicates the year it wasmeasured, and an optional second notes the value as the upper confidence limit (_ucl) and lower confidence limit (_lcl) ofthat year’s measure. For example, MHLTH_16_ucl is the upper confidence limit of the poor mental health variablemeasured in 2016. Please note that all measures exclude those who refused to answer, had a missing answer, or answered“don’t know/not sure”ACCESS2 Current

Lack ofHealthInsuranceamongadultsaged 18-64

Respondents aged 18–64 years who report having no currenthealth insurance coverage divided by respondents aged 18–64years who report having current health insurance or having nocurrent health insurance

% CensusTractLevel

2016 BehavioralRisk FactorSurveillanceSystem(BRFSS), 500Cities byextension

ARTHRITISArthritisamongadultsaged > or= 18 years

Respondents aged > or = 18 years who report having been toldby a doctor, nurse, or other health professional that they hadarthritis divided by respondents aged > or = 18 years whoanswered “yes” or “no” to the following question: “Have you everbeen told by a doctor, nurse, or other health professional that youhave some form of arthritis, rheumatoid arthritis, gout, lupus, orfibromyalgia?” Note that the CDC typically provides thisestimate in standard arthritis BRFSS tables produced for eachstate for odd-numbered years. Unadjusted data are usuallypresented in these tables to provide actual estimates to help instate-level program planning

% CensusTractLevel

2016 BRFSS, 500Cities byextension.

BINGE Bingedrinkingamongadultsaged > or= 18 years

Adults aged > or = 18 years who report having five or moredrinks (men) or four or more drinks (women) on an occasion inthe past 30 days divided by adults aged > or = 18 years whoreport having a specific number, including zero, of drinks on anoccasion in the past 30 days

% CensusTractLevel

2016 BRFSS, 500Cities byextension

11


LevelLastUp-dated

Source

BPHIGH Highbloodpressureamongadultsaged > or= 18 years

Respondents aged > or = 18 years who report ever having beentold by a doctor, nurse, or other health professional that theyhave high blood pressure divided by respondents aged > or = 18years . Women who were told high blood pressure only duringpregnancy and those who were told they had borderlinehypertension were not included

% CensusTractLevel


BPMED Takingmedicinefor highbloodpressurecontrolamongadultsaged > or=18 yearswith highbloodpressure

Respondents aged > or = 18 years who report taking medicinefor high blood pressure divided by respondents aged > or = 18years who report having been told by a doctor, nurse, or otherhealth professional of having high blood pressure other thanduring pregnancy

% CensusTractLevel


CANCER Cancer(excludingskincancer)amongadultsaged > or=18 years

Respondents aged > or = 18 years who report ever having beentold by a doctor, nurse, or other health professional that theyhave any other types (besides skin) of cancer divided byrespondents aged > or = 18 years

% CensusTractLevel


12


LevelLastUp-dated

Source

CASTHMACurrentasthmaprevalenceamongadultsaged > or=18 years

Weighted number of respondents who answer “yes” both to bothof the following questions: “Have you ever been told by a doctor,nurse, or other health professional that you have asthma?” andthe question “Do you still have asthma?” divided by weightednumber of respondents to BRFSS (or National Survey ofChildren’s Health) excluding “don’t know” and “refused”responses to the question “Have you ever been told you haveasthma?”

% CensusTractLevel

2016 BRFSSsurvey foradults (allstates) andfor children(some states).NationalSurvey ofChildren’sHealth(NSCH) forthose statesnot collectingchild datawith BRFSS.500 Cities byextension

CHD Coronaryheartdiseaseamongadultsaged > or= 18 years

Respondents aged > or = 18 years who report ever having beentold by a doctor, nurse, or other health professional that they hadangina or coronary heart disease divided by Respondents aged >or = 18 years who report or do not report ever having been toldby a doctor, nurse, or other health professional that they hadangina or coronary heart disease

% CensusTractLevel

2016 Prevalencedata fromBRFSS(numerator)andpopulationestimatesfrom the U.S.CensusBureau (de-nominator).500 Cities byextension

13


LevelLastUp-dated

Source

CHECKUPVisits todoctor forroutinecheckupwithin thepast yearamongadultsaged > or=18 years

Respondents aged > or = 18 years who report having been to adoctor for a routine checkup (e.g., a general physical exam, notan exam for a specific injury, illness, condition) in the previousyear divided by respondents aged > or = 18 years who report ordo not report having been to a doctor for a routine checkup in theprevious year

% CensusTractLevel


CHOLSCREENCholesterolscreeningamongadultsaged > or=18 years

Respondents aged > or = 18 years who report having theircholesterol checked within the previous 5 years divided byrespondents aged > or = 18 years

% CensusTractLevel


COLON_SCREEN

Fecaloccultblood test,sigmoi-doscopy,orcolonoscopyamongadultsaged50–75years

Respondents aged 50–75 years who report having had 1) a fecaloccult blood test (FOBT) within the past year, 2) asigmoidoscopy within the past 5 years and a FOBT within thepast 3 years, or 3) a colonoscopy within the past 10 years dividedby respondents aged 50–75 years who report ever having or neverhaving an FOBT, sigmoidoscopy, or colonoscopy

% CensusTractLevel


14


LevelLastUp-dated

Source

COPD Chronicobstruc-tivepulmonarydiseaseamongadultsaged > or=18 years

Respondents aged > or = 18 years who report ever having beentold by a doctor, nurse, or other health professional that they hadchronic obstructive pulmonary disease (COPD), emphysema, orchronic bronchitis divided by respondents aged > or = 18 yearswho report or do not report ever having been told by a healthprofessional that they had COPD, emphysema, or chronicbronchitis

% CensusTractLevel


COREM Olderadult menaged > or=65 yearswho areup to dateon a coreset ofclinicalpreventiveservices byage andsex

Number of men aged > or = 65 years reporting having receivedall of the following: an influenza vaccination in the past year; aPPV ever; and either a fecal occult blood test (FOBT) within thepast year, a sigmoidoscopy within the past 5 years and a FOBTwithin the past 3 years, or a colonoscopy within the past 10 yearsdivided by Number of men aged > or = 65 years

% CensusTractLevel


15


LevelLastUp-dated

Source

COREW Olderadultwomenaged > or=65 yearswho areup to dateon a coreset ofclinicalpreventiveservices byage andsex

Number of women aged > or = 65 years reporting havingreceived all of the following: an influenza vaccination in the pastyear; a pneumococcal vaccination (PPV) ever; either a fecaloccult blood test (FOBT) within the past year, a sigmoidoscopywithin the past 5 years and a FOBT within the past 3 years, or acolonoscopy within the previous 10 years; and a mammogram inthe past 2 years divided by number of women aged > or = 65years

% CensusTractLevel


CSMOKINGCurrentsmokingamongadultsaged > or=18 years

Respondents aged > or = 18 years who report having smoked >or = 100 cigarettes in their lifetime and currently smoke everyday or some days divided by respondents aged > or = 18 yearswho reported information about cigarette smoking

% CensusTractLevel


DENTAL Visits todentist ordentalclinicamongadultsaged > or=18 years

Respondents aged > or = 18 years who report having been to thedentist or dental clinic in the previous year divided byRespondents aged > or = 18 years (exclude unknowns andrefusals)

% CensusTractLevel


16


LevelLastUp-dated

Source

DIABETESDiagnoseddiabetesamongadultsaged > or=18 years

Respondents aged > or = 18 years who report ever been told by adoctor, nurse, or other health professional that they have diabetesother than diabetes during pregnancy divided by respondentsaged > or = 18 years who report or do not report ever been toldby a health professional that they have diabetes

% CensusTractLevel


HIGHCHOLHighcholesterolamongadultsaged > or=18 years

Respondents aged > or = 18 years who report having been toldby a doctor, nurse, or other health professional that they hadhigh cholesterol divided by respondents aged > or = 18 years whoreport having their cholesterol checked within the past 5 years

% CensusTractLevel


KIDNEY Chronickidneydiseaseamongadultsaged > or=18 years

Respondents aged > or = 18 years who report ever having beentold by a doctor, nurse, or other health professional that theyhave kidney disease divided by respondents aged > or = 18 yearswho report or do not report ever having been told by a doctor,nurse, or other health professional that they have kidney disease

% CensusTractLevel


LPA No leisure-timephysicalactivityamongadultsaged > or=18 years

Respondents who answered “no” to the following question:“During the past month, other than your regular job, did youparticipate in any physical activities or exercises such as running,calisthenics, golf, gardening, or walking for exercise?” divided bynumber of adults aged > or = 18 years who reported any or nophysical activity in the past month

% CensusTractLevel


MAM-MOUSE

Mammographyuse amongwomenaged 50-74years

Female respondents aged 50–74 years who report having had amammogram within the previous 2 years divided by femalerespondents aged 50–74 years who report ever having or neverhaving had a mammogram (excluding unknowns and refusals)

% CensusTractLevel


17


LevelLastUp-dated

Source

MHLTH Mentalhealth notgood for> or =14daysamongadultsaged > or=18 years

Respondents aged > or = 18 years who report 14 or more daysduring the past 30 days during which their mental health was notgood divided by respondents aged > or = 18 years who report ordo not report the number of days during the past 30 days duringwhich their mental health was not good

% CensusTractLevel


OBESITY Obesityamongadultsaged > or=18 years

Respondents aged > or = 18 years who have a body mass index(BMI) > or = 30.0 kg/m2 calculated from self-reported weightand height divided by respondents aged > or = 18 years for whomBMI can be calculated from their self-reported weight and height.The following exclusions apply: Height - data from respondentsmeasuring <3 ft or > or = 8 ft, Weight - data from respondentsweighing <50 lbs or > or = 650 lbs, BMI - data from respondentswith BMI <12 kg/m2 > or = 100 kg/m2, and Pregnant women

% CensusTractLevel


PAPTEST Papanicolaousmear useamongadultwomenaged 21-65years

Female respondents aged 21–65 years who do not report havinghad a hysterectomy and who report having had a Papanicolaou(Pap) smear within the previous 3 years divided by femalerespondents aged 21–65 years who do not report having had ahysterectomy and who report ever having or never having had aPap smear

% CensusTractLevel


18


LevelLastUp-dated

Source

PHLTH Physicalhealth notgood for> or =14daysamongadultsaged > or=18 years

Respondents aged > or = 18 years who report 14 or more daysduring the past 30 days during which their physical health wasnot good divided by respondents aged > or = 18 years whoreport or do not report the number of days during the past 30days during which their physical health was not good

% CensusTractLevel


SLEEP Sleepingless than 7hoursamongadultsaged > or=18 years

Respondents aged > or = 18 years who report usually gettinginsufficient sleep (<7 hours on average, during a 24-hour period)divided by respondents aged > or = 18 years who report 0–24hours of sleep

% CensusTractLevel


STROKE Strokeamongadultsaged > or=18 years

Respondents aged > or = 18 years who report ever having beentold by a doctor, nurse, or other health professional that theyhave had a stroke divided by Respondents aged > or = 18 yearswho report or do not report ever having been told by a doctor,nurse, or other health professional that they have had a stroke

% CensusTractLevel


19


LevelLastUp-dated

Source

TEETHLOSTAll teethlostamongadultsaged > or=65 years

Respondents aged > or = 65 years who report having lost all oftheir natural teeth because of tooth decay or gum disease dividedby Respondents aged > or = 65 years

% CensusTractLevel


The following measures are from DataWorks. There are two possible post-fixes after each variable. The first indicatesthe year it was measured, and an optional second notes the value as the margin of error (_moe). For example,MEDINC_11_moe is the margin of error for median household income in 2011. Please note that with all measurements fromthe American Community Survey in the Neighborhood Compass, this data represents 5 years’ worth of surveying. With eachannual update, the 5-year period advances by dropping one year and incorporating the next. For this reason, annual releasesof this measurement are not suitable for true time series comparison until no overlap exists among the survey periods.

The data included in the following two measures reflect active voters only. The Board of Elections codes voters ’inactive’ when their mostrecent address may be inaccurate. Due to the potentially inaccurate addresses of inactive voters, this spatial analysis relies only on the activevoters. As of January 2014, there were 176,148 active voters out of a total 200,885 registered in Durham County.

PTGNRLGeneralElectionParticipa-tion

Percent of active voters participating in general elections % BlockgroupLevel

5/22/2019 DurhamCountyBoard ofElections

PTPRIMPrimaryElectionParticipa-tion

Percent of active voter participating in primary elections % BlockgroupLevel

5/22/2019 DurhamCountyBoard ofElections

For the following five measures, please note that ethnicity is a separate characteristic from race and individuals reporting their ethnicity to beLatino or Hispanic may also report a race description such as White or African American.

20


LevelLastUp-dated

Source

PTASNLAsian The percent of the total population reporting their race to be

Asian and ethnicity as not Latino or Hispanic.% Block

groupLevel

5/22/2019 US 2010,Census 2010tract-normalizedpopulationdata; ACS foryears betweeneachdecennialCensus.

PTBLKNLBlack orAfricanAmerican

The percent of the total population reporting their race to beBlack or African American and ethnicity as not Latino orHispanic.

% BlockgroupLevel


PTLAT Hispanic/LatinoThe percent of the total population reporting their ethnicity to beLatino or Hispanic.

% BlockgroupLevel


21


LevelLastUp-dated

Source

PTWHNL White orCaucasian

The percent of the total population reporting their race to beWhite and ethnicity as not Latino or Hispanic.

Years BlockgroupLevel

5/22/2019 US 2010,Census 2010tract-normalizedpopulationdata; ACS foryears betweeneachdecennialCensus

PTOTHNLOtherRace

The percent of the total population reporting their race to beAmerican Indian, Hawaiian and Pacific Islander, Other Race, Twoor More Races and their ethnicity as not Latino or Hispanic.

% BlockgroupLevel

5/22/2019 US 2010,Census 2010tract-normalizedpopulationdata; ACS foryears betweeneachdecennialCensus

MEDAGE MedianAge

The age at the midpoint of the population. Half of the populationis older than this age, and half is younger.

NumberofPeople

BlockgroupLevel

5/22/2019 ACS

22


LevelLastUp-dated

Source

POP Population This data is from the 2010 Decennial Census. The NeighborhoodCompass will report 100% population counts from the 2010Decennial Census until population estimates for blockgroups andincorporate mid-decade updates from the ACS for Census tracts.This will allow for the best-available data at the sub-county level.

NumberofPeopleperSquareMile

BlockgroupLevel


POPDENSPopulationDensity

This measurement provides the population per square mile basedon the 2010 Census using blockgroups.

SimpsonIndex ofDiver-sity

BlockgroupLevel

5/22/2019 U.S.DecennialCensus, 2010

REDIV Race/EthnicDiversity

The calculation of this measurement uses the Simpson Index ofDiversity, which measures the variety and evenness of differentgroups. The component numbers for this measure are blockgroupcounts of White (not Hispanic), Black or African American (notHispanic), Asian (not Hispanic), Hispanic or Latino/a, Two orMore Races (not Hispanic), and Other (not Hispanic). A highernumber in this measure reflects both a higher number ofrace/ethnicity categories present and more people of each identitypresent. A diversity measurement of 1 would mean all race andethnicity identities are present and equally represented, while ameasure of 0 would indicate only one race or ethnicity is present.

% BlockgroupLevel

5/22/2019 U.S.DecennialCensus, 2010

PT65UP Retirement-AgePopula-tion

The percent of population 65 years of age and older is calculatedusing the same Decennial Census counts of population as thoseused for total population, population density, and race andethnicity. The population 65 years and older is divided by thetotal population for each blockgroup.

% BlockgroupLevel

5/22/2019 U.S.DecennialCensus

23


LevelLastUp-dated

Source

PTUND18 YouthPopula-tion

The percent of population under 18 years of age is calculatedusing the same Decennial Census counts of population as thoseused for total population, population density, and race andethnicity. The population under 18 years of age is divided by thetotal population for each blockgroup.

% BlockgroupLevel

5/22/2019 U.S.DecennialCensus

MEAN-RPMT

AverageResiden-tialBuildingPermitValue

The average value of residential building permits for eachboundary. These permits include new construction as well asrenovations and exclude demolitions. As with the value of permitswhen normalized by square miles, the average permit valuesshown here are skewed strongly toward areas of Durham that seesubstantial private investment in apartment building construction.

$ BlockgroupLevel

5/22/2019 DurhamCity/CountyInspectionsDepartment

CPMTS CommercialBuildingPermitValues PerSq Mile

The value of commercial, business, and industrial buildingpermits for each boundary divided by the area (in square miles)of each. These permits include new construction as well asrenovations and exclude demolitions.

PermitsperSquareMile

BlockgroupLevel


COB CommercialCertifi-cates ofOccu-pancy perSq Mile

COs included here are the following types: business, mercantile,factory industrial, and mixed use commercial. The count of theseper neighborhood or blockgroup is divided by the area in squaremiles within the City/County Inspections districts.

CertificatesperSquareMile

BlockgroupLevel


LUDIV Land UseDiversity

The calculation of this measurement uses the Simpson Index ofDiversity, which measures the variety and evenness of differentgroups. A higher number in this measure reflects both a highernumber of land use types in each area and a more balancednumber of properties among them. Parcels are categorized as:agricultural, residential, commercial, recreation, industrial,community services, public services (utilities), wild and forestedlands. A measure of 1 would mean each of the possible types ofland use is present and that there is an equal number of each. Ameasure of 0 would mean only one type is present.

SimpsonIndex ofDiver-sity

BlockgroupLevel

5/22/2019 DurhamCounty TaxAdministra-tion

24


LevelLastUp-dated

Source

MEDINC MedianHouseholdIncome

The household income at the midpoint of all households. Half ofthe households in this Census tract earn a higher annual incomeand half earn a lower annual income. These amounts areinflation-adjusted for 2010 using the Consumer Price Index for allitems, referencing the South urban areas (table CUUR0300SA0).

$ BlockgroupLevel

5/22/2019 US 2010,Census 2010tract-normalizedsample data

PCI PerCapitaIncome

Average obtained by dividing aggregate income by totalpopulation of an area. These amounts are inflation-adjusted for2011.

$ BlockgroupLevel

5/22/2019 ACS

RPMTS ResidentialBuildingPermitValue PerSq Mile

The value of residential building permits for each boundarydivided by the area (in square miles) of each. These permitsinclude new construction as well as renovations and excludedemolitions. Even when normalized by square miles, as thesenumbers are, strong outliers skew the data. Some areas ofDurham receive tremendous amounts of housing investment asprivate apartment development continues near downtown.

PermitValueperSquareMile

BlockgroupLevel


COR ResidentialCertifi-cates ofOccu-pancy perSq Mile

COs included here are the following types: residential, singlefamily, townhouse, condominium, duplex, manufactured homes,and mixed-use residential. The count of these per neighborhoodor blockgroup is divided by the area in square miles within theCity/County Inspections districts.

CertificatesperSquareMile

BlockgroupLevel


PCTSSI SupplementalSecurityIncome

Unclear/Not specified on DataWorks’s Website % CensusTractLevel

5/22/2019 ACS

CCC ChildCareCentersper SquareMile

This measure includes both child care centers and family childcare homes which are licensed by the state of North Carolina’sDivision of Child Care and Early Development. It does notinclude unlicensed locations. Data is collected each year in Apriland reflects a snapshot of the calendar year’s licensed centers.

CentersperSquareMile

BlockgroupLevel

5/22/2019 NC Divisionof Child Careand EarlyDevelopment

25


LevelLastUp-dated

Source

CC45 ChildCareCenterswith 4 or5 StarRatings

This measure includes both child care centers and family childcare homes which are licensed by the state of North Carolina’sDivision of Child Care and Early Development. It does notinclude unlicensed locations. Data is collected each year in Apriland reflects a snapshot of the calendar year’s licensed centers.

% BlockgroupLevel

5/22/2019 NC Divisionof Child Careand EarlyDevelopment

BACH Percent ofAdultswith aBachelorsDegree orMore

Along with other tract data from US 2010 included here, thismeasure is derived from 1970-2010 US Census Bureau surveys for2010-normalized Census tract boundaries.

% CensusTractLevel


VCODE AutomotiveCodeViolations

The number of automotive code violations divided by the squaremiles of each blockgroup that lie within the City boundary. Thismeasurement includes abandoned and hazardous, as well asjunked vehicle violations. It excludes calls found to be not inviolation. This measurement reflects a City-only service and partsof Durham County are not represented by this data.

ViolationsperSquareMile

BlockgroupLevel

5/22/2019 City ofDurhamNeighborhoodImprovementServices

KWH Avg.MonthlyHouseholdElectricityUse

This data is derived from household energy use for Duke Energycustomers throughout Durham County for the years 2013-2014.Household use is averaged for each bockgroup for each month ofthe calendar year and then averaged across the year as well. Thenumbers reported here are calendar year averages.

KiloewattHours

BlockgroupLevel

5/22/2019 Duke Energy

PCTIMP ImperviousArea

This measurement is derived from 2009-2011 NationalAgricultural Imagery Program one-meter digital photography forthe EPA EnviroAtlas, and reports only on the urbanized area ofDurham County. It represents the percent of total land withineach block group that is impervious and not covered by treecanopy.

% BlockgroupLevel

5/22/2019 EnvironmentalProtectionAgency,EnviroAtlas

26


LevelLastUp-dated

Source

PCTC30 LongCommuteTimes

This data includes all those commuting to the workplace, whetherin personal vehicles, bicycles, walking or by public transit. As of2010, the Durham County mean commuting time was 21.7minutes.

% BlockgroupLevel

5/22/2019 ACS

DRALONESingle-OccupancyCom-muters

This data indicates the percentage of surveyed residents whocommute by driving a personal vehicle such as a car, truck or vanwith no additional passengers.

% BlockgroupLevel

5/22/2019 ACS

PCTTREETreeCoverage

This measurement is derived from 2009-2011 NationalAgricultural Imagery Program one-meter digital photography forthe EPA EnviroAtlas, and reports only on the urbanized area ofDurham County. It represents the percent of total land coverwithin each block group that is tree canopy, whether in forests,along streets, or individual trees.

% BlockgroupLevel

5/22/2019 EnvironmentalProtectionAgency,EnviroAtlas

WCODE UnmaintainedPropertyViolationsper SqMile

The number of unmaintained property violations divided by thesquare miles of each blockgroup that lie within the City boundary.This measurement includes all unmaintained property (’weedylot’) violations, not including calls found to be not in violation orthose involving commercial properties. This measurement, alongwith residential building code violations and abandoned,hazardous or junked vehicles reflect a City-only service and partsof Durham County are not represented by this data.


BlockgroupLevel


AVEAGE AverageAge ofDeath

The average age of death here is reported for 2009 (reflectingrecords from 2005-2009) and 2014 (reflecting records from2010-2014).

Years BlockgroupLevel

5/22/2019 NorthCarolinaState Centerfor HealthStatistics

27


LevelLastUp-dated

Source

For the following 24 measures (those related to CKD, diabetes, heart attacks, and strokes), please note that this information is from DukeHealth and Lincoln Community Health Center, provided by Duke’s Center for Community and Population Health Improvement.Furthermore, please note that to determine metrics for a particular year, Duke Health Technology only includes adult patients who had anencounter in that same calendar year. When a patient has an interaction with a healthcare provider, this is called an encounter. Anencounter can be a single, brief event (such as a regular primary care appointment) or it can be across multiple days (such as a hospital stay).If a patient had a hospitalization that lasted multiple days across two calendar years (e.g. 12/15/15 – 1/15/16), DHT used the discharge dateto determine their inclusion.

CKD_TOTAL

ChronicKidneyDiseaseRate(AdultPopula-tion)

These chronic kidney disease rates are based on health care visitsdocumented in this combined dataset, including a total of 169,115adults of a countywide total of 245,572 (2017). Rates selected forinclusion in this site are those matching CDC guidelines asreported by Duke Health.

% CensusTractLevel

5/22/2019 Duke Healthand LincolnCommunityHealth Center

CKD_ASIAN

ChronicKidneyDiseaseRate(AsianPopula-tion)


% CensusTractLevel


CKD_BLACK

ChronicKidneyDiseaseRate(Black orAfricanAmericanPopula-tion)


% CensusTractLevel


28


LevelLastUp-dated

Source

CKD_FEMALE

ChronicKidneyDiseaseRate(Female)

These chronic kidney disease rates are based on health care visitsdocumented in this combined dataset, including a total of 169,115adults of a countywide total of 245,572 (2017). Rates selected forinclusion in this site are those matching CDC guidelines asreported by Duke Health.)

% CensusTractLevel


CKD_HISPANIC

ChronicKidneyDiseaseRate(HispanicorLatino/aPopula-tion)

These chronic kidney disease rates are based on health care visitsdocumented in this combined dataset, including a total of 169,115adults of a countywide total of 245,572 (2017). Rates selected forinclusion in this site are those matching CDC guidelines asreported by Duke Health.)

% CensusTractLevel


CKD_MALE

ChronicKidneyDiseaseRate(Male)


% CensusTractLevel


CKD_WHITE

ChronicKidneyDiseaseRate(WhitePopula-tion)


% CensusTractLevel


DIA-BETES_TOTAL

DiabetesRate(AdultPopula-tion)

These type 2 diabetes rates are based on health care visitsdocumented in this combined dataset, including a total of 169,115adults of a countywide total of 245,572 (2017).

% CensusTractLevel


29


LevelLastUp-dated

Source

DIA-BETES_ASIAN

DiabetesRate(AsianPopula-tion)


% CensusTractLevel


DIA-BETES_BLACK

DiabetesRate(Black orAfricanAmericanPopula-tion)


% CensusTractLevel


DIA-BETES_FEMALE

DiabetesRate(Female)


% CensusTractLevel


DIA-BETES_HISPANIC

DiabetesRate(HispanicorLatino/aPopula-tion)


% CensusTractLevel


DIA-BETES_MALE

DiabetesRate(Male)


% CensusTractLevel


30


LevelLastUp-dated

Source

DIA-BETES_WHITE

DiabetesRate(WhitePopula-tion)


% CensusTractLevel


HEARTAT-TACK_TOTAL

HeartAttack(AdultPopula-tion)

Heart attack or MI diagnoses are based on health care visitsdocumented in this combined dataset, including a total of 169,115adults of a countywide total of 245,572 (2017). Heart attack or MIincidents are those coded as ICD 410.01, 410.11, 410.21, 410.31,410.41, 410.51, 410.61, 410.71, 410.81, 410.91, I21, I22 and I25.2.

% CensusTractLevel


HEARTAT-TACK_BLACK

HeartAttack(Black orAfricanAmericanPopula-tion)


% CensusTractLevel


HEARTAT-TACK_FEMALE

HeartAttack(Female)


% CensusTractLevel


HEARTAT-TACK_MALE

HeartAttack(Male)


% CensusTractLevel


31


LevelLastUp-dated

Source

HEARTAT-TACK_WHITE

HeartAttack(WhitePopula-tion)


% CensusTractLevel


STROKE_TOTAL

Stroke(AdultPopula-tion)

These stroke rates are based on health care visits documented inthis combined dataset, including a total of 169,115 adults of acountywide total of 245,572 (2017).

% BlockgroupLevel


STROKE_BLACK

Stroke(Black orAfricanAmericanPopula-tion)


% CensusTractLevel


STROKE_FEMALE

Stroke(Female)


% CensusTractLevel


STROKE_MALE

Stroke(Male)


% CensusTractLevel


STROKE_WHITE

Stroke(WhitePopula-tion)


% CensusTractLevel


32


LevelLastUp-dated

Source

CLINIC HomesNearHealthCareClinics

Clinic locations are current as of May 2018 and sourced from theDurham County Social Services Department, Lincoln CommunityHealth and Duke Division of Community Health. Households areidentified in this case as parcels with dwelling units and the 1/4mile distance is Euclidean, or as-the-crow-flies. The rate iscalculated by dividing the number of dwelling units within a 1/4mile of health clinics by the total number of dwelling units in theblockgroup.

% CensusTractLevel

5/22/2019 DurhamCounty SocialServices,LincolnCommunityHealthCenter, DukeDivision ofCommunityHealth,DurhamCounty TaxAdministra-tion, andCity-CountyPlanning

RAVGYR AverageYear ofResiden-tialConstruc-tion

The average age of all residential units - including single-family,multi-family, townhouse and all other residential categories.

Year ofCon-struc-tion

BlockgroupLevel


UNFOWN Cost-BurdenedMortgageHolders

This includes selected monthly ownership costs such as mortgageor similar debts, taxes, insurance, utilities, and condo orhomeowners fees.

% BlockgroupLevel

5/22/2019 ACS

UNFRENTCost-BurdenedRenters

Gross rent as a percentage of household income is a computedratio of monthly gross rent to monthly household income.

% BlockgroupLevel

5/22/2019 ACS

33


LevelLastUp-dated

Source

MED-GRENT

MedianGrossRent

The median gross rent is at the midpoint of all rent costs for eachneighborhood. Half of the rental units in this Census tract costmore and half cost less. Gross rent includes the contract rent plusestimated monthly costs of utilities and heating fuels if these arepaid for by the renter (ACS).

$ BlockgroupLevel

5/22/2019 ACS

MEDHV MedianHomeValue

The home value at the midpoint of all home values. Half of thehomes in this Census tract are valued higher and half valuedlower. These amounts are inflation-adjusted for 2010 using theConsumer Price Index for all items, referencing the South urbanareas (table CUUR0300SA0).

$ CensusTractLevel


HMINC MedianHome-buyerIncome

Dollar values are adjusted to most-recent-year dollars to offer areal comparison in household wealth. Records included in thisanalysis are for origninated, owner-occupant mortgages only.

$ CensusTractLevel

5/22/2019 HomeMortgageDisclosureActDatabase,ConsumerFinancialProtectionBureau.

RCODE MinimumHousingCodeViolationsper SquareMile

The number of minimum housing code violations divided by thesquare miles of each blockgroup that lie within the Cityboundary. This measurement includes all minimum housing codeviolations, excluding calls found to be not in violation. This doesinclude orders to repair, demolish, unsafe structures, and boardedproperties.


BlockgroupLevel


PRUNSD Poor orUnsoundState ofRepair

State of repair for all properties is reported in 5 categories in theTax Administration’s property records. The five categories aregood, normal, fair, poor, and unsound. The latter two are definedas follows: poor, showing marked deterioriation; unsound, may beunfit for habitation or condemned. For the measure reportedhere, these two categories are combined.

% BlockgroupLevel


34


LevelLastUp-dated

Source

PCTRENTRenter-OccupiedHousing

All occupied units which are not owner occupied, whether theyare rented for cash rent or occupied without payment of cashrent, are classified as renter-occupied. Renter-occupied status alsoapplies to units in continuing care arrangements, such as assistedliving.

% BlockgroupLevel

5/22/2019 ACS

SUMEJECTSummaryEject-ments PerSquareMile

DataWorks acquires civil process records from the DurhamCounty Sheriff’s Department for use at the neighborhood level.These are records of the Sheriff’s Department notifications totenants and do not include any personally-identifiableinformation. The number of these summary ejectment filings perCensus blockgroup is divided by the area of the blockgroup insquare miles.NOTE: Summary ejectment counts published hereare revised as of May 17, 2019. These counts represent a modestincrease across the county per year with the largest change (anadditional 203 summary ejectments) in 2013. Among theblockgroups of the county, these new counts vary from previoussummaries published here, with 81% of blockgroups seeing lessthan a 10-count change in any given year. These Compasssummaries are now managed within our databases to ensurefuture stability in counts and reproducibility. To learn moreabout this change and how we manage evictions data [email protected].

EvictionsperSquareMile

BlockgroupLevel

5/22/2019 DurhamCountySheriff’sDepartment

REVAL Tax ValueChange

This rate of change is derived from parcel point data from 2014(previous to the most recent property tax revaluation) and 2016.2015 records were not used for the before-and-after comparisonbecause many but not all records for 2015 parcels alreadyincluded revalued estimates and the appeal process had not yetbegun. The number reported here is a median rate of change forevery property in a blockgroup. Properties with zero value in2014 or zero values in both years were excluded from thiscalculation to prevent skewing by outliers.

% BlockgroupLevel


35


LevelLastUp-dated

Source

BIKEWK Commutingto Workby Bicycle

Unclear/Not specified on DataWorks’s Website % BlockgroupLevel

5/22/2019 ACS

PROX-BANK

HomesNearBanks orCreditUnions

This measurement includes both commercial bank locations andcredit unions. These are identified primarily by North AmericanIndustry Classification System (NAICS) codes 52211 and 52213and then conducting a qualitative scan of additional communitybusinesses. Households are identified in this case as parcels withdwelling units and the 1/4 mile distance is Euclidean, oras-the-crow-flies. The rate is calculated by dividing the number ofdwelling units within a 1/4 mile of banks or credit unions by thetotal number of dwelling units in the blockgroup. Whichblockgroup a parcel belongs to is determined by where itscentroid is placed.

% BlockgroupLevel

5/22/2019 City ofDurhamTransporta-tion, TaxAdministra-tion/City-CountyGIS

PROXBUSHomesNear BusStops

Households include all residential units, not just residentialparcels. Bus stop locations used in this calculation are thoseactive during the spring of each calendar year. Households areidentified in this case as parcels with dwelling units and the 1/4mile distance is Euclidean, or as-the-crow-flies. The rate iscalculated by dividing the number of dwelling units within a 1/4mile of bus stops by the total number of dwelling units in theblockgroup. Which blockgroup a parcel belongs to is determinedby where its centroid is placed.

% BlockgroupLevel

5/22/2019 GoTriangleandCity-CountyGIS

36


LevelLastUp-dated

Source

PROXCF HomesNear FastFood \&Conve-nienceStores

Fast food and convenience store locations include fast foodchains, gas station/convenience stores, dollar stores and pizzaplaces. These are identified first by using North AmericanIndustry Classification System (NAICS) codes for conveniencestores and fast food in the InfoUSA data set and then conductinga qualitative scan of additional community businesses.Households are identified in this case as parcels with dwellingunits and the 1/4 mile distance is Euclidean, or as-the-crow-flies.The rate is calculated by dividing the number of dwelling unitswithin a 1/4 mile of these food retailers by the total number ofdwelling units in the blockgroup. Which blockgroup a parcelbelongs to is determined by where its centroid is placed.

% BlockgroupLevel

5/22/2019 City ofDurhamTransporta-tion,DataWorksNC

PROXGR HomesNearGroceryStores

Full service grocers include chain grocery stores and independentfull-service stores but do not include farmers’ markets. Fullservice grocers are identified primarily by North AmericanIndustry Classification System (NAICS) code 44511 and thenconducting a qualitative scan of additional community businesses.Households are identified in this case as parcels with dwellingunits and the 1/4 mile distance is Euclidean, or as-the-crow-flies.The rate is calculated by dividing the number of dwelling unitswithin a 1/4 mile of grocers by the total number of dwelling unitsin the blockgroup. Which blockgroup a parcel belongs to isdetermined by where its centroid is placed.

% BlockgroupLevel

5/22/2019 City ofDurhamTransporta-tion,DataWorksNC

37


LevelLastUp-dated

Source

PROXPH HomesNearPharma-cies

Pharmacies include traditional storefront locations of independentand chain drug stores, as well as big-box retail locations. Theseare identified primarily by North American IndustryClassification System (NAICS) code 44611 and then conducting aqualitative scan of additional community businesses. Householdsare identified in this case as parcels with dwelling units and the1/4 mile distance is Euclidean, or as-the-crow-flies. The rate iscalculated by dividing the number of dwelling units within a 1/4mile of pharmacies by the total number of dwelling units in theblockgroup. Which blockgroup a parcel belongs to is determinedby where its centroid is placed.

% BlockgroupLevel

5/22/2019 City ofDurhamTransporta-tion, TaxAdministra-tion/City-CountyGIS

SWTORD SidewalkstoRoadways

The intention of this measurement is to indicate how wellneighborhood roads serve pedestrians. Pedestrian or bike pathsnot adjacent to roadways are not among the sidewalks countedhere. Areas reporting ’N/A’ are outside City limits and do notcontain annexed communities - the City does not maintain orbuild sidewalks in those areas.

% BlockgroupLevel

5/22/2019 City ofDurhamPublic Worksand Trans-portation

WLKWK Walkingto Work

Unclear/Not specified on DataWorks’s Website. % BlockgroupLevel

5/22/2019 ACS

WKHOMEWorkingfromHome

Unclear/Not specified on DataWorks’s Website % BlockgroupLevel

5/22/2019 ACS

D_SQM DrugCrimesper SquareMile

Drug-related crimes include all incidents involving drug andparaphernalia manufacturing, distributing, and possessioncharges. For more detailed Durham crime reporting visit RAIDSOnline.

IncidentsperSquareMile

BlockgroupLevel

5/22/2019 DurhamPoliceDepartmentand DurhamCountySheriff

38


LevelLastUp-dated

Source

P_SQM PropertyCrimesper SquareMile

Property crimes are commonly reported with parts 1 and 2separate. This measurement is different, including all part 1property crimes and these part 2 crimes: fraud, forgery,embezzlement, counterfeiting, stolen property and vandalism.The number of property crimes occurring in each boundary isdivided by the area (in square miles) of the boundary, rather thanthe population. This is intended to control for how crime oftenhappens in areas that are less populated. For more detailedDurham crime reporting visit RAIDS Online.


BlockgroupLevel


V_SQM ViolentCrimesper SquareMile

Violent crimes are commonly reported with parts 1 and 2separate. This measurement is different, including all part 1violent crimes and these part 2 crimes: simple assaults, certainsex offenses, child abuse and kidnapping. The number of theseviolent crimes occurring in each boundary is divided by the area(in square miles) of the boundary, rather than the population.This is intended to control for how crime often happens in areasthat are less populated. For more detailed Durham crimereporting visit RAIDS Online.


BlockgroupLevel


These measures are from the LODES Dataset. Please note that there is one possible prefix before each variable, indicatingthat the measure is from the WAC or RAC data set, and one possible post-fix indicating the year of the measure. Forexample, rac_NumJobs_-1250_02 indicates the number of jobs by the census block where the employee lives that pay$1250/month or less for 2002. There are no error/confidence values for this dataset. Residence Area Characteristics (RAC)is the total number of jobs by the census block where the employee lives. Workplace Area Characteristics (WAC) is thetotal number of jobs by the census block where the employee works.

TotNum_Jobs

NA Total number of jobs Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_<29

NA Number of jobs for workers age 29 or younger Numberof Jobs

CensusTractLevel

6/6/2019 LODES

39


LevelLastUp-dated

Source

NumJobs_30-54

NA Number of jobs for workers age 30 to 54 Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_55+

NA Number of jobs for workers age 55 or older Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_<1250

NA Number of jobs with earnings $1250/month or less Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_1251-3333

NA Number of jobs with earnings $1251/month to $3333/month Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_3333+

NA Number of jobs with earnings greater than $3333/month Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_AFFH

NA Number of jobs in NAICS sector 11 (Agriculture, Forestry,Fishing and Hunting)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_MQOG

NA Number of jobs in NAICS sector 21 (Mining, Quarrying, and Oiland Gas Extraction)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Util

NA Number of jobs in NAICS sector 22 (Utilities) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Const

NA Number of jobs in NAICS sector 23 (Construction) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

40


LevelLastUp-dated

Source

NumJobs_Manuf

NA Number of jobs in NAICS sector 31-33 (Manufacturing) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_WSale

NA Number of jobs in NAICS sector 42 (Wholesale Trade) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_RSale

NA Number of jobs in NAICS sector 44-45 (Retail Trade) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_TrWa

NA Number of jobs in NAICS sector 48-49 (Transportation andWarehousing)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Info

NA Number of jobs in NAICS sector 51 (Information) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_FinIns

NA Number of jobs in NAICS sector 52 (Finance and Insurance) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_RERL

NA Number of jobs in NAICS sector 53 (Real Estate and Rental andLeasing)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_PSTS

NA Number of jobs in NAICS sector 54 (Professional, Scientific, andTechnical Services)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Mgmt

NA Number of jobs in NAICS sector 55 (Management of Companiesand Enterprises)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

41


LevelLastUp-dated

Source

NumJobs_ASWSR

NA Number of jobs in NAICS sector 56 (Administrative and Supportand Waste Management and Remediation Services)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Edu

NA Number of jobs in NAICS sector 61 (Educational Services) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_HlthSA

NA Number of jobs in NAICS sector 62 (Health Care and SocialAssistance)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_AER

NA Number of jobs in NAICS sector 71 (Arts, Entertainment, andRecreation)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_AFS

NA Number of jobs in NAICS sector 72 (Accommodation and FoodServices)

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Other

NA Number of jobs in NAICS sector 81 (Other Services [exceptPublic Administration])

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_PA

NA Number of jobs in NAICS sector 92 (Public Administration) Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_White

NA Number of jobs for workers with Race: White, Alone Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_BAA

NA Number of jobs for workers with Race: Black or AfricanAmerican Alone

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

42


LevelLastUp-dated

Source

NumJobs_AIAN

NA Number of jobs for workers with Race: American Indian orAlaska Native Alone

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Asian

NA Number of jobs for workers with Race: Asian Alone Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_NHPI

NA Number of jobs for workers with Race: Native Hawaiian or OtherPacific Islander

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Two

NA Number of jobs for workers with Race: Two or More Race Groups Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_NotHL

NA Number of jobs for workers with Ethnicity: Not Hispanic orLatino

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_HL

NA Number of jobs for workers with Ethnicity: Hispanic or Latino Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_<HS

NA Number of jobs for workers with Educational Attainment: Lessthan high school

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_HS

NA Number of jobs for workers with Educational Attainment: Highschool or equivalent

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_SomeCol-lege

NA Number of jobs for workers with Educational Attainment: Somecollege or Associate

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

43


LevelLastUp-dated

Source

NumJobs_BachDe-gree+

NA Number of jobs for workers with Educational Attainment:Bachelor’s degree or advanced degree

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Male

NA Number of jobs for workers with Sex: Male Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_Female

NA Number of jobs for workers with Sex: Female Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_FirmAge_<1

NA Number of jobs for workers at firms with Firm Age: 0-1 Years Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_FirmAge_2-3


CensusTractLevel

6/6/2019 LODES

NumJobs_FirmAge_4-5


CensusTractLevel

6/6/2019 LODES

NumJobs_FirmAge_6-10


CensusTractLevel

6/6/2019 LODES

NumJobs_FirmAge_11+

NA Number of jobs for workers at firms with Firm Age: 11+ Years Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_FirmSize_<19

NA Number of jobs for workers at firms with Firm Size: 0-19Employees

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

44


LevelLastUp-dated

Source

NumJobs_FirmSize_20-49


Numberof Jobs

CensusTractLevel

6/6/2019 LODES



Numberof Jobs

CensusTractLevel

6/6/2019 LODES



Numberof Jobs

CensusTractLevel

6/6/2019 LODES

NumJobs_FirmSize_500+

NA Number of jobs for workers at firms with Firm Size: 500+Employees

Numberof Jobs

CensusTractLevel

6/6/2019 LODES

These measure are from the IRS Individual Income Tax ZIP Code Data set. Note the naming conventions by thisexample column name: n_item_16_b3. The first section is the column name as seen in the codebook, n_item, followed byeither a 15 or 16 denoting the tax year, and then an income bucket number, ranging fromb1 to b6. Please see the tax_buckets.pdf document for more information regarding the buckets.n_ret NA Number of Returns NA Zip

Code2016 IRS

n_single NA Filing status is single NA ZipCode

2016 IRS

n_joint NA Number of Joint Returns NA ZipCode

2016 IRS

n_head NA Number of Head of Household Returns NA ZipCode

2016 IRS

n_dep NA Number of Dependents NA ZipCode

2016 IRS

n_ral NA Number of Refund Anticipation Loan Returns NA ZipCode

2016 IRS

45


LevelLastUp-dated

Source

n_rac NA Number of Refund Anticipation Check Returns NA ZipCode

2016 IRS

n_elderly NA Number of Elderly Returns NA ZipCode

2016 IRS

agi NA Adjusted Gross Income ThousandsofDollars

ZipCode

2016 IRS

n_total_incNA Number of Returns with Total Income NA Zip

Code2016 IRS

a_total_incNA Total Income Amount Thousands

ofDollars

ZipCode

2016 IRS

n_wage NA Number of Returns with Salaries and Wages NA ZipCode

2016 IRS

a_wage NA Salaries and Wages ThousandsofDollars

ZipCode

2016 IRS

n_farm NA Number of Farm Returns NA ZipCode

2016 IRS

n_unemp_comp

NA Number of Returns with Unemployment Compensation NA ZipCode

2016 IRS

a_unemp_comp

NA Unemployment Compensation Amount ThousandsofDollars

ZipCode

2016 IRS

n_txbl_ss NA Number of Returns with Taxable Social Security Benefits NA ZipCode

2016 IRS

a_txbl_ss NA Taxable Social Security Benefits Amount ThousandsofDollars

ZipCode

2016 IRS

46


LevelLastUp-dated

Source

n_item NA Number of Returns With Itemized Deductions NA ZipCode

2016 IRS

a_item NA Total Itemized Deductions Amount ThousandsofDollars

ZipCode

2016 IRS

n_alt_min_tax

NA Number of Returns with Alternative Minimum Tax NA ZipCode

2016 IRS

a_alt_min_tax

NA Alternative Minimum Tax Amount ThousandsofDollars

ZipCode

2016 IRS

n_dep_care_credit

NA Number of Returns with Child and Dependent Care Credit\ NA ZipCode

2016 IRS

a_dep_care_credit

NA Child and Dependent Care Credit Amount ThousandsofDollars

ZipCode

2016 IRS

n_child_tax_credit

NA Number of Returns with Child Tax Credit NA ZipCode

2016 IRS

a_child_tax_credit

NA Child Tax Credit Amount ThousandsofDollars

ZipCode

2016 IRS

n_hc_indivNA Number of Returns with Health Care Individual Responsibility

PaymentNA Zip

Code2016 IRS

a_hc_indivNA Health Care Individual Responsibility Payment Amount Thousands

ofDollars

ZipCode

2016 IRS

47


LevelLastUp-dated

Source

n_total_tax_pay

NA Number of Returns with Total Tax Payments NA ZipCode

2016 IRS

a_total_tax_pay

NA Total Tax Payments Amount ThousandsofDollars

ZipCode

2016 IRS

n_eic NA Number of Returns with Earned Income Credit NA ZipCode

2016 IRS

a_eic NA Earned Income Credit Amount ThousandsofDollars

ZipCode

2016 IRS

n_excess_eic

NA Number of Returns with Excess Earned Income Credit NA ZipCode

2016 IRS

a_excess_eic

NA Excess Earned Income Credit (Refundable) Amount ThousandsofDollars

ZipCode

2016 IRS

n_tax_dueNA Number of Returns with Tax Due at Time of Filing NA Zip

Code2016 IRS

a_tax_dueNA Tax Due at Time of Filing Amount Thousands

ofDollars

ZipCode

2016 IRS

n_overpay NA Number of Returns with Overpayments Refunded NA ZipCode

2016 IRS

a_overpay NA Overpayments Refunded Amount ThousandsofDollars

ZipCode

2016 IRS

48

ethan bhojani and zhong huang 02 april, 2020

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