Mexican vs Pennsylvania German Community Comparison

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Mexican
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Pennsylvania German
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Mexicans

Pennsylvania Germans

Tragic
Fair
1,179
SOCIAL INDEX
9.3/ 100
SOCIAL RATING
319th/ 347
SOCIAL RANK
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK

Pennsylvania German Integration in Mexican Communities

The statistical analysis conducted on geographies consisting of 219,775,725 people shows a mild negative correlation between the proportion of Pennsylvania Germans within Mexican communities in the United States with a correlation coefficient (R) of -0.393. On average, for every 1% (one percent) increase in Mexicans within a typical geography, there is a decrease of 0.001% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mexicans corresponds to a decrease of 0.8 Pennsylvania Germans.
Mexican Integration in Pennsylvania German Communities

Mexican vs Pennsylvania German Income

When considering income, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in wage/income gap (26.0% compared to 30.7%, a difference of 17.9%), median male earnings ($46,147 compared to $50,878, a difference of 10.2%), and per capita income ($34,559 compared to $37,842, a difference of 9.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,989 compared to $50,852, a difference of 1.7%), median household income ($74,399 compared to $75,814, a difference of 1.9%), and householder income over 65 years ($53,897 compared to $52,888, a difference of 1.9%).
Mexican vs Pennsylvania German Income
Income MetricMexicanPennsylvania German
Per Capita Income
Tragic
$34,559
Tragic
$37,842
Median Family Income
Tragic
$85,618
Tragic
$91,763
Median Household Income
Tragic
$74,399
Tragic
$75,814
Median Earnings
Tragic
$39,834
Tragic
$42,615
Median Male Earnings
Tragic
$46,147
Tragic
$50,878
Median Female Earnings
Tragic
$33,664
Tragic
$34,802
Householder Age | Under 25 years
Tragic
$49,989
Tragic
$50,852
Householder Age | 25 - 44 years
Tragic
$80,427
Tragic
$85,836
Householder Age | 45 - 64 years
Tragic
$86,816
Tragic
$91,956
Householder Age | Over 65 years
Tragic
$53,897
Tragic
$52,888
Wage/Income Gap
Fair
26.0%
Tragic
30.7%

Mexican vs Pennsylvania German Poverty

When considering poverty, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in married-couple family poverty (7.2% compared to 5.1%, a difference of 40.7%), family poverty (11.8% compared to 8.8%, a difference of 34.1%), and seniors poverty over the age of 65 (13.1% compared to 9.9%, a difference of 32.2%). Conversely, both communities are more comparable in terms of single mother poverty (33.6% compared to 33.2%, a difference of 0.96%), female poverty among 18-24 year olds (20.5% compared to 19.7%, a difference of 4.1%), and single female poverty (25.0% compared to 23.6%, a difference of 6.2%).
Mexican vs Pennsylvania German Poverty
Poverty MetricMexicanPennsylvania German
Poverty
Tragic
15.1%
Good
12.2%
Families
Tragic
11.8%
Good
8.8%
Males
Tragic
13.7%
Average
11.2%
Females
Tragic
16.5%
Good
13.2%
Females 18 to 24 years
Poor
20.5%
Excellent
19.7%
Females 25 to 34 years
Tragic
16.6%
Tragic
15.4%
Children Under 5 years
Tragic
21.6%
Tragic
19.8%
Children Under 16 years
Tragic
20.7%
Tragic
17.4%
Boys Under 16 years
Tragic
20.7%
Tragic
17.9%
Girls Under 16 years
Tragic
20.9%
Tragic
17.8%
Single Males
Tragic
14.0%
Tragic
15.6%
Single Females
Tragic
25.0%
Tragic
23.6%
Single Fathers
Good
16.1%
Tragic
20.0%
Single Mothers
Tragic
33.6%
Tragic
33.2%
Married Couples
Tragic
7.2%
Good
5.1%
Seniors Over 65 years
Tragic
13.1%
Exceptional
9.9%
Seniors Over 75 years
Tragic
14.4%
Excellent
11.8%
Receiving Food Stamps
Tragic
14.6%
Good
11.4%

Mexican vs Pennsylvania German Unemployment

When considering unemployment, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in unemployment (5.9% compared to 4.6%, a difference of 27.2%), female unemployment (6.1% compared to 4.8%, a difference of 26.8%), and unemployment among women with children under 6 years (8.9% compared to 10.8%, a difference of 21.3%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.8% compared to 5.8%, a difference of 0.65%), unemployment among ages 25 to 29 years (7.5% compared to 7.4%, a difference of 1.4%), and unemployment among ages 30 to 34 years (6.1% compared to 6.3%, a difference of 2.5%).
Mexican vs Pennsylvania German Unemployment
Unemployment MetricMexicanPennsylvania German
Unemployment
Tragic
5.9%
Exceptional
4.6%
Males
Tragic
5.8%
Exceptional
4.8%
Females
Tragic
6.1%
Exceptional
4.8%
Youth < 25
Tragic
12.3%
Exceptional
10.6%
Age | 16 to 19 years
Tragic
18.5%
Exceptional
16.2%
Age | 20 to 24 years
Tragic
10.6%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
7.5%
Tragic
7.4%
Age | 30 to 34 years
Tragic
6.1%
Tragic
6.3%
Age | 35 to 44 years
Tragic
5.3%
Average
4.7%
Age | 45 to 54 years
Tragic
4.9%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.2%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.2%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.8%
Tragic
5.8%
Seniors > 65
Tragic
5.6%
Tragic
5.4%
Seniors > 75
Tragic
9.1%
Tragic
10.2%
Women w/ Children < 6
Tragic
8.9%
Tragic
10.8%
Women w/ Children 6 to 17
Tragic
9.3%
Tragic
11.0%
Women w/ Children < 18
Tragic
6.4%
Tragic
5.7%

Mexican vs Pennsylvania German Labor Participation

When considering labor participation, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (35.6% compared to 46.4%, a difference of 30.3%), in labor force | age 20-24 (75.1% compared to 78.0%, a difference of 3.8%), and in labor force | age 45-54 (79.8% compared to 81.6%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (81.9% compared to 82.6%, a difference of 0.84%), in labor force | age > 16 (64.1% compared to 63.4%, a difference of 1.1%), and in labor force | age 20-64 (77.2% compared to 78.4%, a difference of 1.5%).
Mexican vs Pennsylvania German Labor Participation
Labor Participation MetricMexicanPennsylvania German
In Labor Force | Age > 16
Tragic
64.1%
Tragic
63.4%
In Labor Force | Age 20-64
Tragic
77.2%
Tragic
78.4%
In Labor Force | Age 16-19
Poor
35.6%
Exceptional
46.4%
In Labor Force | Age 20-24
Average
75.1%
Exceptional
78.0%
In Labor Force | Age 25-29
Tragic
81.9%
Tragic
83.6%
In Labor Force | Age 30-34
Tragic
81.9%
Tragic
82.6%
In Labor Force | Age 35-44
Tragic
81.6%
Tragic
82.9%
In Labor Force | Age 45-54
Tragic
79.8%
Tragic
81.6%

Mexican vs Pennsylvania German Family Structure

When considering family structure, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in single mother households (8.0% compared to 5.8%, a difference of 37.0%), single father households (3.0% compared to 2.4%, a difference of 21.6%), and family households with children (31.4% compared to 27.4%, a difference of 14.6%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.1%, a difference of 1.1%), family households (69.0% compared to 66.1%, a difference of 4.3%), and married-couple households (47.1% compared to 50.4%, a difference of 6.8%).
Mexican vs Pennsylvania German Family Structure
Family Structure MetricMexicanPennsylvania German
Family Households
Exceptional
69.0%
Exceptional
66.1%
Family Households with Children
Exceptional
31.4%
Fair
27.4%
Married-couple Households
Excellent
47.1%
Exceptional
50.4%
Average Family Size
Exceptional
3.48
Tragic
3.19
Single Father Households
Tragic
3.0%
Tragic
2.4%
Single Mother Households
Tragic
8.0%
Exceptional
5.8%
Currently Married
Tragic
45.2%
Exceptional
49.6%
Divorced or Separated
Fair
12.2%
Average
12.1%
Births to Unmarried Women
Tragic
36.9%
Tragic
34.0%

Mexican vs Pennsylvania German Vehicle Availability

When considering vehicle availability, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in no vehicles in household (7.0% compared to 11.0%, a difference of 56.6%), 4 or more vehicles in household (8.9% compared to 7.6%, a difference of 17.3%), and 3 or more vehicles in household (24.7% compared to 22.3%, a difference of 10.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.0% compared to 89.3%, a difference of 4.2%), 2 or more vehicles in household (61.7% compared to 58.5%, a difference of 5.4%), and 3 or more vehicles in household (24.7% compared to 22.3%, a difference of 10.6%).
Mexican vs Pennsylvania German Vehicle Availability
Vehicle Availability MetricMexicanPennsylvania German
No Vehicles Available
Exceptional
7.0%
Poor
11.0%
1+ Vehicles Available
Exceptional
93.0%
Fair
89.3%
2+ Vehicles Available
Exceptional
61.7%
Exceptional
58.5%
3+ Vehicles Available
Exceptional
24.7%
Exceptional
22.3%
4+ Vehicles Available
Exceptional
8.9%
Exceptional
7.6%

Mexican vs Pennsylvania German Education Level

When considering education level, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in no schooling completed (3.3% compared to 1.5%, a difference of 122.2%), doctorate degree (1.2% compared to 1.4%, a difference of 17.9%), and master's degree (9.7% compared to 10.7%, a difference of 10.6%). Conversely, both communities are more comparable in terms of college, 1 year or more (49.2% compared to 48.5%, a difference of 1.5%), nursery school (96.8% compared to 98.6%, a difference of 1.9%), and kindergarten (96.7% compared to 98.6%, a difference of 1.9%).
Mexican vs Pennsylvania German Education Level
Education Level MetricMexicanPennsylvania German
No Schooling Completed
Tragic
3.3%
Exceptional
1.5%
Nursery School
Tragic
96.8%
Exceptional
98.6%
Kindergarten
Tragic
96.7%
Exceptional
98.6%
1st Grade
Tragic
96.7%
Exceptional
98.6%
2nd Grade
Tragic
96.5%
Exceptional
98.5%
3rd Grade
Tragic
96.2%
Exceptional
98.5%
4th Grade
Tragic
95.6%
Exceptional
98.4%
5th Grade
Tragic
95.2%
Exceptional
98.3%
6th Grade
Tragic
94.6%
Exceptional
98.1%
7th Grade
Tragic
91.9%
Exceptional
97.6%
8th Grade
Tragic
91.4%
Exceptional
97.3%
9th Grade
Tragic
90.0%
Tragic
93.3%
10th Grade
Tragic
87.8%
Tragic
91.9%
11th Grade
Tragic
86.1%
Tragic
90.3%
12th Grade, No Diploma
Tragic
84.1%
Tragic
88.7%
High School Diploma
Tragic
81.4%
Tragic
87.0%
GED/Equivalency
Tragic
77.4%
Tragic
82.9%
College, Under 1 year
Tragic
55.6%
Tragic
54.5%
College, 1 year or more
Tragic
49.2%
Tragic
48.5%
Associate's Degree
Tragic
35.0%
Tragic
37.2%
Bachelor's Degree
Tragic
27.1%
Tragic
28.4%
Master's Degree
Tragic
9.7%
Tragic
10.7%
Professional Degree
Tragic
2.7%
Tragic
3.0%
Doctorate Degree
Tragic
1.2%
Tragic
1.4%

Mexican vs Pennsylvania German Disability

When considering disability, the most significant differences between Mexican and Pennsylvania German communities in the United States are seen in disability age under 5 (1.3% compared to 1.9%, a difference of 52.6%), hearing disability (3.2% compared to 3.7%, a difference of 17.0%), and disability age 18 to 34 (6.8% compared to 7.8%, a difference of 14.5%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (12.4% compared to 12.8%, a difference of 3.6%), ambulatory disability (6.4% compared to 6.8%, a difference of 5.7%), and cognitive disability (17.8% compared to 16.6%, a difference of 7.5%).
Mexican vs Pennsylvania German Disability
Disability MetricMexicanPennsylvania German
Disability
Tragic
12.1%
Tragic
13.2%
Males
Tragic
11.8%
Tragic
13.0%
Females
Poor
12.4%
Tragic
13.4%
Age | Under 5 years
Fair
1.3%
Tragic
1.9%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.6%
Age | 18 to 34 years
Poor
6.8%
Tragic
7.8%
Age | 35 to 64 years
Tragic
12.4%
Tragic
12.8%
Age | 65 to 74 years
Tragic
27.2%
Poor
24.0%
Age | Over 75 years
Tragic
51.1%
Good
47.2%
Vision
Tragic
2.5%
Poor
2.2%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Tragic
17.8%
Exceptional
16.6%
Ambulatory
Tragic
6.4%
Tragic
6.8%
Self-Care
Tragic
2.7%
Average
2.5%