Table 2

Descriptive statistics for Pennsylvania Marcellus Shale districts by year and treatment status

Preboom (2007)Postboom (2011)
TreatmentaComparisonaTreatmentaComparisona
Mean/ ProportionSDMean/ ProportionSDMean/ ProportionSDMean/ ProportionSD
Pregnancy-Related Health         
 Smoking         
  Prepregnancy (=1) .298 .112 .329 .090* .270 .115 .295 .092 
  Any trimester (=1) .238 .102 .261 .091 .214 .097 .224 .084 
 Prepregnancy weight         
  Underweight (=1) .048 .031 .049 .031 .044 .032 .040 .022 
  Overweight/obese (=1) .455 .086 .462 .069 .475 .088 .497 .076* 
 Gestational weight gain         
  Low (=1) .185 .074 .181 .052 .191 .075 .182 .050 
  High (=1) .134 .057 .136 .047 .116 .052 .123 .043 
 Prenatal care utilization         
  First trimester (=1) .790 .082 .749 .092*** .798 .100 .764 .091** 
  Adequate or more (=1) .706 .118 .753 .130** .750 .111 .743 .113 
Birth Outcomes         
 Birth weight         
  Very low (=1) .011 .015 .008 .014 .008 .011 .008 .011 
  Low (=1) .060 .032 .058 .035 .058 .032 .059 .030 
 Premature birth .078 .035 .080 .035 .073 .038 .071 .032 
Birthing Parent Characteristics         
 Age 27.304 2.325 26.781 1.672* 27.712 2.064 27.306 1.541 
 Educational attainment         
  High school diploma or less (=1) .408 .166 .473 .113*** .374 .162 .441 .134*** 
  Some college (=1) .295 .076 .295 .066 .293 .084 .302 .072 
  College degree or more (=1) .297 .171 .231 .097*** .333 .188 .258 .124*** 
 Married (=1) .632 .157 .605 .119 .616 .168 .591 .129 
 Non-Hispanic White (=1) .925 .117 .922 .109 .918 .127 .919 .109 
 First birth (=1) .419 .078 .400 .066* .419 .078 .406 .066 
District Economic Characteristics         
 Income per capita (000s $)         
  Mean area income 52.368 29.953 47.757 14.074 52.054 30.041 45.055 13.125* 
  Mean royalty income 0.654 0.501 0.601 0.389 1.694 1.979 1.044 1.130** 
  Mean earnings 41.489 19.173 39.019 9.651 41.938 20.949 37.941 9.729 
  Mean property sales 2.637 3.845 1.889 1.841 2.018 2.747 11.126 1.582** 
 % owner-occupied housing .756 .094 .768 .090 .747 .099 .758 .092 
 Average gross rent ($) 562.205 163.904 561.891 112.028 588.984 172.131 574.663 122.441 
 Poverty rate .123 .056 .125 .049 .129 .059 .132 .057 
 % labor force in agriculture, forestry, and fishing industry .013 .018 .013 .013 .011 .015 .012 .013 
District Demographic Characteristics        
 Population density (people per/mi.2837.304 1,413.600 461.533 747.421* 826.175 1,383.293 458.047 731.194* 
 ln(women aged 15–44) 7.765 0.739 7.737 0.713 7.725 0.746 7.698 0.728 
 % population aged 15–44 .365 .037 .371 .038 .352 .040 .356 .041 
 % women married .520 .082 .525 .074 .504 .084 .509 .076 
 % cohabiting household heads .022 .008 .023 .007 .024 .008 .024 .007 
 College enrollment per capita .050 .038 .050 .037 .053 .038 .054 .040 
 % aged 25+ with college degree .207 .116 .174 .062** .222 .121 .187 .066** 
 % White .936 .090 .933 .081 .934 .099 .938 .079 
District Geographic Characteristics         
 % land above HYPE shale .974 .084 .051 .118*** —  —  
 % land above Periphery shale .024 .078 .911 .138*** —  —  
 Area (mi.2105.680 123.440 102.596 113.324 —  —  
 Region         
  Laurel Highlands .620 .490 .204 .405*** —  —  
  Great Lakes .000 .000 .327 .471*** —  —  
  Allegheny Mountains and Valleys .076 .270 .020 .142 —  —  
  Pennsylvania Wilds .174 .380 .102 .304 —  —  
  Susquehanna Valley .000 .000 .031 .173* —  —  
  Pennsylvania Dutch .000 .000 .020 .014 —  —  
  Northeast Mountains and Poconos .130 .338 .296 .459*** —  —  
 % rural .571 .496 .776 .419*** —  —  
 % with any coal deposits .636 .482 .439 .499** —  —  
District Environmental Characteristics        
 % population with public water .773 .169 .712 .101** .684 .148 .602 .083*** 
 Water for mining (millions of gallons/day) 0.396 0.705 1.171 3.124** 0.324 0.641 0.280 0.664 
 Water for crop irrigation (millions of gallons/day) 0.120 0.067 0.174 0.175*** 0.179 0.158 0.203 0.175 
 Metal pollution in public water (milligrams/liter)         
  Antimony levels 2.46E–06 1.79E–05 1.87E–05 1.04E–04* 2.04E–04 8.58E–06 1.95E–04 2.16E–05*** 
  Arsenic levels 2.10E–04 4.51E–04 4.61E–04 8.20E–04** 6.88E–05 3.19E–04 1.71E–04 3.23E–04* 
  Barium levels 1.38E–02 3.68E–02 1.20E–02 1.47E–02 1.41E–02 2.67E–02 5.91E–03 8.52E–03** 
  Chromium levels 2.60E–05 1.05E–04 1.91E–05 4.93E–05 2.95E–05 1.14E–04 6.17E–05 3.02E–04 
  Mercury levels 3.21E–10 2.95E–10 4.80E–10 4.75E–09 1.33E–06 1.05E–05 0.00E+00 0.00E+00 
  Selenium levels 6.17E–07 4.18E–06 1.10E–05 4.26E–05** 0.00E+00 0.00E+00 1.10E–05 4.91E–05** 
  Thallium levels 2.96E–07 2.77E–06 3.51E–07 2.21E–06 2.97E–06 2.17E–05 1.05E–05 5.91E–05 
 Formaldehyde air pollution (lbs./m3277.434 2,807.931 945.204 6,603.899 823.799 9,933.991 4.741 46.667 
 Traffic (1,000 miles/capita) 20.133 12.512 22.873 12.748 21.185 13.044 24.742 13.900 * 
 Local roads added (miles) 66.669 113.872 109.063 159.044* 35.429 88.375 23.060 56.694 
 PA EPA compliance violations 2.668 6.347 3.939 16.049 8.761 17.712 8.857 31.178 
Preboom (2007)Postboom (2011)
TreatmentaComparisonaTreatmentaComparisona
Mean/ ProportionSDMean/ ProportionSDMean/ ProportionSDMean/ ProportionSD
Pregnancy-Related Health         
 Smoking         
  Prepregnancy (=1) .298 .112 .329 .090* .270 .115 .295 .092 
  Any trimester (=1) .238 .102 .261 .091 .214 .097 .224 .084 
 Prepregnancy weight         
  Underweight (=1) .048 .031 .049 .031 .044 .032 .040 .022 
  Overweight/obese (=1) .455 .086 .462 .069 .475 .088 .497 .076* 
 Gestational weight gain         
  Low (=1) .185 .074 .181 .052 .191 .075 .182 .050 
  High (=1) .134 .057 .136 .047 .116 .052 .123 .043 
 Prenatal care utilization         
  First trimester (=1) .790 .082 .749 .092*** .798 .100 .764 .091** 
  Adequate or more (=1) .706 .118 .753 .130** .750 .111 .743 .113 
Birth Outcomes         
 Birth weight         
  Very low (=1) .011 .015 .008 .014 .008 .011 .008 .011 
  Low (=1) .060 .032 .058 .035 .058 .032 .059 .030 
 Premature birth .078 .035 .080 .035 .073 .038 .071 .032 
Birthing Parent Characteristics         
 Age 27.304 2.325 26.781 1.672* 27.712 2.064 27.306 1.541 
 Educational attainment         
  High school diploma or less (=1) .408 .166 .473 .113*** .374 .162 .441 .134*** 
  Some college (=1) .295 .076 .295 .066 .293 .084 .302 .072 
  College degree or more (=1) .297 .171 .231 .097*** .333 .188 .258 .124*** 
 Married (=1) .632 .157 .605 .119 .616 .168 .591 .129 
 Non-Hispanic White (=1) .925 .117 .922 .109 .918 .127 .919 .109 
 First birth (=1) .419 .078 .400 .066* .419 .078 .406 .066 
District Economic Characteristics         
 Income per capita (000s $)         
  Mean area income 52.368 29.953 47.757 14.074 52.054 30.041 45.055 13.125* 
  Mean royalty income 0.654 0.501 0.601 0.389 1.694 1.979 1.044 1.130** 
  Mean earnings 41.489 19.173 39.019 9.651 41.938 20.949 37.941 9.729 
  Mean property sales 2.637 3.845 1.889 1.841 2.018 2.747 11.126 1.582** 
 % owner-occupied housing .756 .094 .768 .090 .747 .099 .758 .092 
 Average gross rent ($) 562.205 163.904 561.891 112.028 588.984 172.131 574.663 122.441 
 Poverty rate .123 .056 .125 .049 .129 .059 .132 .057 
 % labor force in agriculture, forestry, and fishing industry .013 .018 .013 .013 .011 .015 .012 .013 
District Demographic Characteristics        
 Population density (people per/mi.2837.304 1,413.600 461.533 747.421* 826.175 1,383.293 458.047 731.194* 
 ln(women aged 15–44) 7.765 0.739 7.737 0.713 7.725 0.746 7.698 0.728 
 % population aged 15–44 .365 .037 .371 .038 .352 .040 .356 .041 
 % women married .520 .082 .525 .074 .504 .084 .509 .076 
 % cohabiting household heads .022 .008 .023 .007 .024 .008 .024 .007 
 College enrollment per capita .050 .038 .050 .037 .053 .038 .054 .040 
 % aged 25+ with college degree .207 .116 .174 .062** .222 .121 .187 .066** 
 % White .936 .090 .933 .081 .934 .099 .938 .079 
District Geographic Characteristics         
 % land above HYPE shale .974 .084 .051 .118*** —  —  
 % land above Periphery shale .024 .078 .911 .138*** —  —  
 Area (mi.2105.680 123.440 102.596 113.324 —  —  
 Region         
  Laurel Highlands .620 .490 .204 .405*** —  —  
  Great Lakes .000 .000 .327 .471*** —  —  
  Allegheny Mountains and Valleys .076 .270 .020 .142 —  —  
  Pennsylvania Wilds .174 .380 .102 .304 —  —  
  Susquehanna Valley .000 .000 .031 .173* —  —  
  Pennsylvania Dutch .000 .000 .020 .014 —  —  
  Northeast Mountains and Poconos .130 .338 .296 .459*** —  —  
 % rural .571 .496 .776 .419*** —  —  
 % with any coal deposits .636 .482 .439 .499** —  —  
District Environmental Characteristics        
 % population with public water .773 .169 .712 .101** .684 .148 .602 .083*** 
 Water for mining (millions of gallons/day) 0.396 0.705 1.171 3.124** 0.324 0.641 0.280 0.664 
 Water for crop irrigation (millions of gallons/day) 0.120 0.067 0.174 0.175*** 0.179 0.158 0.203 0.175 
 Metal pollution in public water (milligrams/liter)         
  Antimony levels 2.46E–06 1.79E–05 1.87E–05 1.04E–04* 2.04E–04 8.58E–06 1.95E–04 2.16E–05*** 
  Arsenic levels 2.10E–04 4.51E–04 4.61E–04 8.20E–04** 6.88E–05 3.19E–04 1.71E–04 3.23E–04* 
  Barium levels 1.38E–02 3.68E–02 1.20E–02 1.47E–02 1.41E–02 2.67E–02 5.91E–03 8.52E–03** 
  Chromium levels 2.60E–05 1.05E–04 1.91E–05 4.93E–05 2.95E–05 1.14E–04 6.17E–05 3.02E–04 
  Mercury levels 3.21E–10 2.95E–10 4.80E–10 4.75E–09 1.33E–06 1.05E–05 0.00E+00 0.00E+00 
  Selenium levels 6.17E–07 4.18E–06 1.10E–05 4.26E–05** 0.00E+00 0.00E+00 1.10E–05 4.91E–05** 
  Thallium levels 2.96E–07 2.77E–06 3.51E–07 2.21E–06 2.97E–06 2.17E–05 1.05E–05 5.91E–05 
 Formaldehyde air pollution (lbs./m3277.434 2,807.931 945.204 6,603.899 823.799 9,933.991 4.741 46.667 
 Traffic (1,000 miles/capita) 20.133 12.512 22.873 12.748 21.185 13.044 24.742 13.900 * 
 Local roads added (miles) 66.669 113.872 109.063 159.044* 35.429 88.375 23.060 56.694 
 PA EPA compliance violations 2.668 6.347 3.939 16.049 8.761 17.712 8.857 31.178 

Notes: The table presents two-tailed tests of differences between PA districts with 51+% of their area above HYPE shale and PA districts with 51+% of their area above Periphery shale within each year.

a

Treatment districts have 51+% of their land above the Marcellus HYPE (n = 184), and comparison districts have 51+% of their land above the Periphery (n = 98) of the Marcellus Shale formation.

p < .10; *p < .05; **p < .01; ***p < .001

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