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Zip Code Comparison Tool. Compare Zip Codes Page 1 of 3 · PDF file30.01.2013 · Home » Compare Zip Codes Zip Code GO Enter Zip Codes to Compare Submit FIGURES 93206 93239 Zip Code

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    FIGURES 93206 93239

    Zip Code Location Buttonwillow, CA Kettleman City, CA

    Population 2,037 1,768

    Population density (residents per sq. mile) 14 28

    Males (%) 53.12 56.39

    Females (%) 46.88 43.61

    White Population (%) 37.21 32.3

    African American Population (%) 3.78 0.34

    American Indian and Alaska Native Population (%) 1.37 0

    Asian Population (%) 0.1 0.79

    Native Hawaiian and other Pacific Islander Population (%) 0.2 1.13

    Other Race (%) 52.68 64.42

    Mixed Population (%) 4.66 1.02

    Median Home Value ($) 79300 80500

    Median Gross Rent ($) 486 472

    Number of families 470 339

    Zip Code Comparison Tool

    This zip code comparison tool will enable you to compare data such as population, household income, transportation,

    education and real estate for up to four zip codes side-by-side. Fill in the fields below with zip codes of your choice to

    get your zip code report. All data comes from the US Census 2000. You may also want to check our infographic that

    shows changes in America in the first decade of the 21st century

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  • FIGURES 93206 93239

    Married Couples (%) 74.04 79.06

    Other Couples (%) 25.96 20.94

    Speak English (%) 36.69 12.05

    Speak Spanish (%) 56.31 86.67

    Speak Other European Languages (%) 5.46 0

    Speak Asian Languages (%) 0.34 1.28

    Speak Other Languages (%) 1.19 0

    Drive Car, Track or Van (%) 90.11 90.4

    Use Public Transportation (%) 0 1.52

    Drive Motorcycle (%) 0 0

    Ride Bicycle (%) 0.47 0

    Walk to work (%) 4.08 8.08

    Work From Home (%) 5.34 0

    Attend Preschool programs (%) 4.71 1.92

    Attend Public school (%) 16.89 13.18

    Attend College (%) 3.24 1.13

    College graduates (%) 0.1 0

    Not enrolled in school (%) 60.82 70.42

    Education attainment - less then 9th grade (%) 36.6 57.4

    Education attainment - 9th to 12 grade (no diploma) (%) 24.8 19

    Education attainment - high school grad (%) 18.7 10.2

    Education attainment - some college (%) 15.6 9.6

    Education attainment - associate degree (%) 1.8 2.5

    Education attainment - bachelor's degree (%) 2.6 0

    Education attainment - professional degree (%) 0 1.3

    Households with income $30,000 or less (%) 57.68 55.38

    Households with income between $30,000 and $50,000 (%) 23.21 27.44

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  • FIGURES 93206 93239

    Households with income between $50,000 and $100,000 (%) 14.33 14.36

    Households with income between $100,000 and $200,000 (%) 3.24 2.82

    Households with income more then $200,000 (%) 1.54 0

    Families with income $30,000 or less (%) 57.02 56.34

    Families with income between $30,000 and $50,000 (%) 23.19 25.66

    Families with income between $50,000 and $100,000 (%) 14.26 14.75

    Families with income between $100,000 and $200,000 (%) 4.04 3.24

    Families with income more then $200,000 (%) 1.49 0

    Detached Housing Units (%) 81.68 49.76

    Attached Housing Units (%) 3.69 5.74

    Housing with 2 Units (%) 0.89 0

    Housing with 3 or 4 Units (%) 3.25 1.2

    Housing with 5 to 9 Units (%) 0 0

    Housing with 10 to 19 Units (%) 0 0

    Housing with 20 to 49 Units (%) 0 5.02

    Housing with 50 or More Units (%) 0 0

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  • Proximity to Environmental Hazards: Environmental Justice and Adverse Health Outcomes

    By Juliana Maantay, Jayajit Chakraborty, and Jean Brender

    Revised Final Draft May 12, 2010

    Prepared for the U.S. Environmental Protection Agency

    Strengthening Environmental Justice Research and Decision Making: A Symposium on the Science of Disproportionate Environmental Health Impacts

    Juliana Maantay, Ph.D., M.U.P. [*] Professor of Urban Environmental Geography Acting Chair, Environmental, Geographic, and Geological Sciences Dept. Director of the Geographic Information Science (GISc) Program, and Urban GISc Lab Lehman College, City University of New York 250 Bedford Park Blvd. West Bronx, NY 10468 718 960-8574 (tel); 718 960-8584 (fax) Juliana.maantay@lehman.cuny.edu (e-mail)

    Jayajit Chakraborty, Ph.D., M.S. Associate Professor Associate Chair Department of Geography University of South Florida 4202 East Fowler Avenue, NES 107 Tampa, FL 33620 813 974-8188 (tel); 813 974-4808 (fax) jchakrab@cas.usf.edu (email)

    Jean D. Brender, Ph.D., R.N. Professor, Dept. of Epidemiology & Biostatistics Associate Dean for Research School of Rural Public Health 219 SRPH Administration Building TAMU 1266 Texas A&M Health Science Center College Station, TX 77843-1266 979 862-1573 (tel); 979 458-1877 (fax) jdbrender@srph.tamhsc.edu (email) [*] = corresponding author

    mailto:Juliana.maantay@lehman.cuny.edumailto:jchakrab@cas.usf.edumailto:jdbrender@srph.tamhsc.edu

  • Proximity to Environmental Hazards: Environmental Justice and Adverse Health Outcomes By Maantay, Chakraborty, and Brender

    2

    Table of Contents

    I. Introductionpg. 4

    Proximity to hazards, adverse health outcomes, and disproportionate impacts Environmental Health Justice The Role of Geographic Information Science in Environmental Health Justice

    Research Environmental Justice Research Studies Summary of Section I and organization of the rest of the paper

    II. Methods and Models for Measuring Disproportionate Proximity and Exposure to Environmental Hazards....pg. 31 Spatial definition of Proximity and Potential Exposure to Hazards Estimating Characteristics of Proximate Populations Geostatistical Techniques for Assessing Disproportionate Proximity and Exposure Limitations and Data Needs

    III. Health outcomes and proximity to environmental hazardspg. 55

    Adverse Pregnancy Outcomes and Childhood Cancers Cardiovascular, Respiratory, and other Chronic Diseases Limitations of Spatial Epidemiology

    IV. Conclusions and recommendations...pg. 74

    Conclusions Recommendations

    Acknowledgements.....pg. 79

    References....pg. 80

    Appendices Appendix A Tables.. pg. 100 Table 1 Environmental Justice Research Table 2 Methodology for Spatial Definition of Proximity and Potential Exposure to

    Environmental Hazards Table 3 Studies of Residential Proximity to Environmental Hazards and Adverse

    Pregnancy Outcomes with Reported Disparities by Race/Ethnicity or Socioeconomic Status

    Table 4 Studies of Residential Proximity to Environmental Hazards, Adverse Pregnancy Outcomes, and Childhood Cancer

    Table 5 Studies of Residential Proximity to Potential Environmental Hazards and Cardiovascular, Respiratory, and other Chronic Diseases

  • Proximity to Environmental Hazards: Environmental Justice and Adverse Health Outcomes By Maantay, Chakraborty, and Brender

    3

    Appendix B Figures...pg. 156 Figure 1 Spatial Coincidence Approach: Selection of Host Census Units Figure 2 Circular Buffers of Uniform Radius around Facilities of Concern Figure 3 Cumulative Distribution Functions for Hazard Proximity: Comparing Racial Characteristics of the Population Figure 4 A Typical Plume Footprint for a Hypothetical Chlorine Release Scenario using the ALOHA Model Figure 5 Selection of Census Units with a Circular Buffer using the Polygon Containment Method Figure 6 Selection of Census Units with a Circular Buffer using the Centroid Containment Method Figure 7 Selection of Census Units with a Circular Buffer using the Buffer Containment or Areal Apportionment Method Figure 8 Cadastral Dasymetric Mapping: Estimating Households within a Circular Buffer using Land Parcels Figure 9 Using Geographically Weighted Regression to Explore Relationships between Cancer Risk from Other (Minor) Point Sources of Air Toxics and Various Explanatory Variables in Florida: Distribution of Local t-statistic by Census Tract

  • Proximity to Environmental Hazards: Environmental Justice and Adverse Health Outcomes By Maantay, Chakraborty, and Brender

    4

    I. Introduction

    Proximity to hazards, adverse health outcomes, and disproportionate impacts

    The goal of this paper is to explore and answer the question: Does proximity to

    environmental hazards result in adverse health outcomes and account for health disparities, and if

    so, how does proximity contribute to disproportionate environmental health impacts? In order to

    answer this question in a meaningful, comprehensive, and reliable manner, we have undertaken a

    substantive literature review and critique covering the salient research on these topics over the

    past two decades, including some earlier seminal works on the subject. One of the main

    objectives of this paper was to assemble the best information possible, to synthesize the body of

    knowledge on this topic, and to provide a state-of-the-science paper that would put forward the

    most cogent and scientifically defensible evidence that will assist the EPA and other regulatory

    agencies in making the best decisions and reforms required in order to minimize environmental

    injustices. This meta-analysis of the literature is the resul

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