pmdata {NU.Learning}

Particulate Matter, Mortality and Other data for 2980 US Counties

Description

This data.frame combines 122 variables from the 5 sources referenced below. Several PM variables appear to be predictions from EPA “CMAQ” models rather than values from validated measuring instruments. NU.Learning concepts are illustrated in demo(pmdata) using Clustering of 2973 Counties and Parishes within the contiguous 48 US States and Washington, D.C.

Usage

data(pmdata)

Format

This data.frame contains 122 variables for 2,980 US counties. A total of 738 "NA"s imply that only about two tenths of one percent of these 363,560 values are missing.

fips

Federal Information Processing Standard code; 4 or 5 digits; 2980 unique values

C50

Cluster ID Number between 1 and 50. Total of 50 unique values

LRC50

Local (Spearman) Rank Correlation between Bvoc and AACRmort within Cluster

County

County or Parish name is a Factor variable (character code)

State

State name is a 2-Character Factor code; 49 unique levels

Deaths

CDC: Total number of Deaths in the County in 2016

Population

CDC: Total population of County in 2016

CRmort

CDC: Crude Rate of Circulatory-Respiratory Mortality for the County in 2016

CrudeL95

CDC: Lower 95% confidence limit for Crude Rate of CR Mortality

CrudeU95

CDC: Upper 95% confidence limit for Crude Rate of CR Mortality

CrudeSE

CDC: Standard Error for Crude Rate of CR Mortality

AACRmort

CDC: Age Adjusted Rate of Circulatory-Respiratory Mortality in 2016

AACRL95

CDC: Lower 95% confidence limit for Age Adjusted Rate of CR Mortality

AACRU95

CDC: Upper 95% confidence limit for Age Adjusted Rate of CR Mortality

AACR_SE

CDC: Standard Error for Age Adjusted Rate of CR Mortality

TotDeathPct

CDC: Total Death Percentage - Circulatory-Respiratory Mortality in 2016

lat

EPA: County Latitude used in EPA "CMAQ" model calculations

long

EPA: County Longitude used in EPA "CMAQ" model calculations

RHpct

EPA: Relative Humidity Percentage for 2016

SFCtmpC

EPA: Surface Temperature in Degrees Centigrade for 2016

NO2

EPA: Nitrogen Dioxide level (NO2.ppbV) for 2016

O3

EPA: Ozone level (O3.ppbV) for 2016

pmCL

EPA: Chlorine level in Particulate Matter (PM25_CL.ugm3) for 2016

pmEC

EPA: Ethylene Carbonate level in Particulate Matter (PM25_EC.ugm3) for 2016

pmNA

EPA: Sodium level in Particulate Matter (PM25_NA.ugm3) for 2016

pmMG

EPA: Magnesium level in Particulate Matter (PM25_MG.ugm3) for 2016

pmK

EPA: Potassium level in Particulate Matter (PM25_K.ugm3) for 2016

pmCA

EPA: Calcium level in Particulate Matter (PM25_CA.ugm3) for 2016

pmNH4

EPA: Ammonium level in Particulate Matter (PM25_NH4.ugm3) for 2016

pmNO3

EPA: Nitrate level in Particulate Matter (PM25_NO3.ugm3) for 2016

pmOC

EPA: Organic Compounds in pmTOT [fine particulate matter] (PM25_OC.ugm3) for 2016

pmOM

EPA: OM compounds in pmTOT (PM25_OM.ugm3) for 2016

pmOTHR

EPA: Other Compounds in pmTOT (PM25_OTHR.ugm3) for 2016

pmSO4

EPA: Sulfate Compounds in pmTOT (PM25_SO4.ugm3) for 2016

pmFE

EPA: Ferrous Compounds in pmTOT (PM25_FE.ugm3) for 2016

pmSI

EPA: Silicon Compounds in pmTOT (PM25_SI.ugm3) for 2016

pmTI

EPA: Titanium Compounds in pmTOT (PM25_TI.ugm3) for 2016

pmMN

EPA: Manganese Compounds in pmTOT (PM25_MN.ugm3) for 2016

pmAL

EPA: Aluminum Compounds in pmTOT (PM25_AL.ugm3) for 2016

pmUNSPCRS

EPA: UNSPCRS Compounds in pmTOT (PM25_UNSPCRS.ugm3) for 2016

pmPOA

EPA: Primary Organic Aerosols in pmTOT (PM25_POA.ugm3) for 2016

pmSOA

EPA: Secondary Organic Aerosols in pmTOT (PM25_SOA.ugm3) for 2016; pmSOA = Avoc+Bvoc

pmGLY

EPA: Glycemic Secondary Organic Aerosols in pmTOT (PM25_GLYSOA.ugm3) for 2016

pmOLGB

EPA: OLGB compounds in pmTOT (PM25_OLGB.ugm3) for 2016

pmISOP

EPA: ISOP compounds in pmTOT (PM25_ISOP.ugm3) for 2016

pmEPOX

EPA: EPOX compounds in pmTOT (PM25_EPOX.ugm3) for 2016

pmSQT

EPA: SQT compounds in pmTOT (PM25_SQT.ugm3) for 2016

pmMTN

EPA: MTN compounds in pmTOT (PM25_MTN.ugm3) for 2016

pmMT

EPA: MT compounds in pmTOT (PM25_MT.ugm3) for 2016

pmTOT

EPA: Total (fine) Particulate Matter (PM25_TOT.ugm3) for 2016

SFCtmpK

EPA: Surface Temperature in Degrees Kelvin for 2016

CardioRes

CDC: Cardio Respiratory Rate (rate I00J98.per100000.cdc) for 2016

POPcdc

CDC: County Population (population.cdc) for 2016

POP5yracs

CDC: 5yracs Population (population.people.5yracs) for 2016

PREMdeath

Premature Deaths per 100K Residents ...UWPHI for 2018

POFHealth

Poor or Fair Health rate (Poor.or.fair.health) ...UWPHI for 2018

PPHdays

Poor Physical Health days (Poor.physical.health.days) ...UWPHI for 2018

PMHdays

Poor Mental Health days (Poor.mental.health.days) ...UWPHI for 2018

LBW

Low Birth Weight rate (Low.birthweight) ...UWPHI for 2018

ASmoke

Adult Smoking Percentage (Adult.smoking) ...UWPHI for 2018

AObes

Adult Obesity Percentage (Adult.obesity) ...UWPHI for 2018

FEnv

Food Environment Index (Food.environment.index) ...UWPHI for 2018

PhysInAct

Physical Inactivity (Physical.inactivity) ...UWPHI for 2018

ExercOPS

Access to Exercise Opportunities ...UWPHI for 2018

ExsDrink

Excessive Drinking Rate (Excessive.drinking) ...UWPHI for 2018

AIDrivD

Alcohol Impaired Driving Deaths ...UWPHI for 2018

STInfect

Sexually Transmitted Infections ...UWPHI for 2018

TBirths

Teenage Births (Teen.births) ...UWPHI for 2018

Uninsur

Uninsured Residences (Uninsured) ...UWPHI for 2018

PCDocs

Primary Care Physicians (Primary.care.physicians) ...UWPHI for 2018

Dentists

Dentists (Dentists) ...UWPHI for 2018

PrevntHS

Preventable Hospital Stays (Preventable.hospital.stays) ...UWPHI for 2018

DiabMNT

Diabetes Monitoring (Diabetes.monitoring) ...UWPHI for 2018

MammoSC

Mammography Screening (Mammography.screening) ...UWPHI for 2018

SomCOL

Some College Education (Some.college) ...UWPHI for 2018

UnEMP

Unemployment Rate (Unemployment) ...UWPHI for 2018

ChildPOV

Children Living in Poverty (Children.in.poverty) ...UWPHI for 2018

IncomIEQ

Income Inequality (Income.inequality) ...UWPHI for 2018

ChildSPH

Children In Single-Parent Households ...UWPHI for 2018

SocASOC

Social Associations (Social.associations) ...UWPHI for 2018

VioCRM

Violent Crime Rate (Violent.crime) ...UWPHI for 2018

InjyDths

Injury Death Rate (Injury.deaths) ...UWPHI for 2018

AirPolpm

Air Pollution Particulate Matter ...UWPHI for 2018

DrnkWtVi

Drinking Water Violations (Drinking.water.violations) ...UWPHI for 2018

SevrHOUS

Severe Housing Problems (Severe.housing.problems) ...UWPHI for 2018

DrivATW

Driving Alone to Work (Driving.alone.to.work) ...UWPHI for 2018

LComutA

Long Commute - Driving Alone to Work ...UWPHI for 2018

PAAM

Premature Age Adjusted Mortality ...UWPHI for 2018

FrqPhysD

Frequent Physical Distress ...UWPHI for 2018

FrqMentD

Frequent Mental Distress ...UWPHI for 2018

DiabPrev

Diabetes Prevalence (Diabetes.prevalence) ...UWPHI for 2018

FoodInSec

Food Insecurity (Food.insecurity) ...UWPHI for 2018

LimAHFood

Limited Access to Healthy Foods ...UWPHI for 2018

DrugOdDM

Drug Overdose Deaths Model predictions ...UWPHI for 2018

InsufSlp

Insufficient Sleep (Insufficient.sleep) ...UWPHI for 2018

UnInsAds

Uninsured Adults (Uninsured.adults) ...UWPHI for 2018

UnInsCls

Uninsured Children (Uninsured.children) ...UWPHI for 2018

HCareCost

Health Care Costs (Health.care.costs) ...UWPHI for 2018

OthPrimCP

Other Primary Care Providers ...UWPHI for 2018

MHHIncome

Median Household Income ...UWPHI for 2018

ChildFRPL

Children Eligible for Free or Reduced-Price Lunch ...UWPHI for 2018

Population

County Population (Population) ...UWPHI for 2018

AGELess18

Residents below 18 Years of Age ...UWPHI for 2018

A65oOVR

Residents 65 or Older (X..65.and.older) ...UWPHI for 2018

NHispAfA

Non-Hispanic African-American Residents ...UWPHI for 2018

AmINalsN

American Indian or Alaskan Natives ...UWPHI for 2018

Asian

Asian Residents (X..Asian) ...UWPHI for 2018

NHawOPI

Native Hawaiian and Other Pacific Islanders ...UWPHI for 2018

Hispanic

Hispanic Residents (X..Hispanic) ...UWPHI for 2018

NHispWht

Non-Hispanic White Residents ...UWPHI for 2018

LoProEngl

Low Proficiency in English (not.proficient.in.English) ...UWPHI for 2018

Females

Female Residents ...UWPHI for 2018

Rural

Rural Residents ...UWPHI for 2018

pmOA

EPA: Organic Aerosols in pmTOT (PM25_OA.ugm3) for 2016

Avoc

EPA: Anthroprogenic [man-made] Volatile Organic Compounds in pmTOT for 2016

pmSEAspry

EPA: Sea Spray components in pmTOT (PM25_SOAAVOC.ugm3) for 2016

pmDUST

EPA: Dust components in pmTOT (PM25_DUST.ugm3) for 2016

pmNH4NO3

EPA: Ammonium Nitrate components in pmTOT (PM25_NH4NO3.ugm3) for 2016

pmSOOT

EPA: Soot components in pmTOT (PM25_SOOT.ugm3) for 2016

isop

EPA: SOA Isoprenes (PM25_SOAISOPRENE.ugm3) for 2016

terp

EPA: SOA Terpenes (PM25_SOATERPENE.ugm3) for 2016

Bvoc

EPA: Biogenic (natural) Volatile Organic Compounds for 2016; Bvoc = isop + terp

References

Obenchain RL. and Young SS. (2022), EPA Particulate Matter Data - Analyses using Local Control Strategy. (24 pages, 22 figures) https://doi.org/10.48550/arXiv.2209.05461

Pye, H., Ward-Caviness, C., Murphy, B., Appel, K., and Seltzer, K. (2021). Secondary organic aerosol association with cardiorespiratory disease mortality in the united states. Nature Communications, 12.7215 https://doi.org/10.1038/s41467-021-27484-1

Pye, H. [EPA] (2021), Data For Secondary Organic Aerosol and Cardiorespiratory Disease Mortality. https://doi.org/10.5281/zenodo.5713903

University of Wisconsin, Population Health Institute. https://uwphi.pophealth.wisc.edu [UWPHI] [e-mail]

Young SS. and Obenchain RL. (2022), "EPA particulate matter data...Analyses using Local Control Strategy" https://doi.org/10.5061/dryad.63xsj3v58

Examples

    data(pmdata)
    str(pmdata, list.len=122)