Japanese vs Pennsylvania German Community Comparison

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Japanese
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Japanese

Pennsylvania Germans

Fair
Fair
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK

Pennsylvania German Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 136,698,457 people shows a slight positive correlation between the proportion of Pennsylvania Germans within Japanese communities in the United States with a correlation coefficient (R) of 0.056. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is an increase of 0.002% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to an increase of 2.2 Pennsylvania Germans.
Japanese Integration in Pennsylvania German Communities

Japanese vs Pennsylvania German Income

When considering income, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in wage/income gap (23.8% compared to 30.7%, a difference of 29.1%), median female earnings ($38,528 compared to $34,802, a difference of 10.7%), and median household income ($83,395 compared to $75,814, a difference of 10.0%). Conversely, both communities are more comparable in terms of median male earnings ($51,473 compared to $50,878, a difference of 1.2%), householder income under 25 years ($52,365 compared to $50,852, a difference of 3.0%), and median earnings ($44,825 compared to $42,615, a difference of 5.2%).
Japanese vs Pennsylvania German Income
Income MetricJapanesePennsylvania German
Per Capita Income
Tragic
$39,870
Tragic
$37,842
Median Family Income
Tragic
$97,288
Tragic
$91,763
Median Household Income
Fair
$83,395
Tragic
$75,814
Median Earnings
Tragic
$44,825
Tragic
$42,615
Median Male Earnings
Tragic
$51,473
Tragic
$50,878
Median Female Earnings
Tragic
$38,528
Tragic
$34,802
Householder Age | Under 25 years
Good
$52,365
Tragic
$50,852
Householder Age | 25 - 44 years
Poor
$91,624
Tragic
$85,836
Householder Age | 45 - 64 years
Poor
$96,834
Tragic
$91,956
Householder Age | Over 65 years
Tragic
$57,919
Tragic
$52,888
Wage/Income Gap
Exceptional
23.8%
Tragic
30.7%

Japanese vs Pennsylvania German Poverty

When considering poverty, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in single father poverty (15.2% compared to 20.0%, a difference of 31.4%), receiving food stamps (14.1% compared to 11.4%, a difference of 23.4%), and seniors poverty over the age of 65 (12.2% compared to 9.9%, a difference of 23.0%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (17.8% compared to 17.8%, a difference of 0.21%), child poverty among boys under 16 (17.7% compared to 17.9%, a difference of 0.94%), and child poverty under the age of 16 (17.7% compared to 17.4%, a difference of 1.4%).
Japanese vs Pennsylvania German Poverty
Poverty MetricJapanesePennsylvania German
Poverty
Tragic
13.3%
Good
12.2%
Families
Tragic
9.9%
Good
8.8%
Males
Tragic
12.2%
Average
11.2%
Females
Tragic
14.5%
Good
13.2%
Females 18 to 24 years
Exceptional
18.8%
Excellent
19.7%
Females 25 to 34 years
Poor
14.1%
Tragic
15.4%
Children Under 5 years
Poor
18.1%
Tragic
19.8%
Children Under 16 years
Tragic
17.7%
Tragic
17.4%
Boys Under 16 years
Tragic
17.7%
Tragic
17.9%
Girls Under 16 years
Tragic
17.8%
Tragic
17.8%
Single Males
Poor
13.1%
Tragic
15.6%
Single Females
Fair
21.3%
Tragic
23.6%
Single Fathers
Exceptional
15.2%
Tragic
20.0%
Single Mothers
Good
28.9%
Tragic
33.2%
Married Couples
Tragic
5.6%
Good
5.1%
Seniors Over 65 years
Tragic
12.2%
Exceptional
9.9%
Seniors Over 75 years
Tragic
13.3%
Excellent
11.8%
Receiving Food Stamps
Tragic
14.1%
Good
11.4%

Japanese vs Pennsylvania German Unemployment

When considering unemployment, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 10.8%, a difference of 44.0%), unemployment among women with children ages 6 to 17 years (8.4% compared to 11.0%, a difference of 30.6%), and unemployment (5.6% compared to 4.6%, a difference of 22.7%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.28%), unemployment among women with children under 18 years (5.7% compared to 5.7%, a difference of 0.79%), and unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 1.8%).
Japanese vs Pennsylvania German Unemployment
Unemployment MetricJapanesePennsylvania German
Unemployment
Tragic
5.6%
Exceptional
4.6%
Males
Tragic
5.8%
Exceptional
4.8%
Females
Tragic
5.6%
Exceptional
4.8%
Youth < 25
Fair
11.7%
Exceptional
10.6%
Age | 16 to 19 years
Average
17.6%
Exceptional
16.2%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
6.9%
Tragic
7.4%
Age | 30 to 34 years
Tragic
5.9%
Tragic
6.3%
Age | 35 to 44 years
Tragic
5.1%
Average
4.7%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.3%
Age | 55 to 59 years
Average
4.8%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.1%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.8%
Seniors > 65
Exceptional
4.9%
Tragic
5.4%
Seniors > 75
Exceptional
8.3%
Tragic
10.2%
Women w/ Children < 6
Good
7.5%
Tragic
10.8%
Women w/ Children 6 to 17
Exceptional
8.4%
Tragic
11.0%
Women w/ Children < 18
Tragic
5.7%
Tragic
5.7%

Japanese vs Pennsylvania German Labor Participation

When considering labor participation, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 46.4%, a difference of 23.7%), in labor force | age > 16 (65.8% compared to 63.4%, a difference of 3.9%), and in labor force | age 20-24 (75.3% compared to 78.0%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 81.6%, a difference of 0.030%), in labor force | age 20-64 (79.1% compared to 78.4%, a difference of 0.81%), and in labor force | age 35-44 (83.6% compared to 82.9%, a difference of 0.85%).
Japanese vs Pennsylvania German Labor Participation
Labor Participation MetricJapanesePennsylvania German
In Labor Force | Age > 16
Exceptional
65.8%
Tragic
63.4%
In Labor Force | Age 20-64
Tragic
79.1%
Tragic
78.4%
In Labor Force | Age 16-19
Excellent
37.5%
Exceptional
46.4%
In Labor Force | Age 20-24
Good
75.3%
Exceptional
78.0%
In Labor Force | Age 25-29
Poor
84.3%
Tragic
83.6%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
82.6%
In Labor Force | Age 35-44
Tragic
83.6%
Tragic
82.9%
In Labor Force | Age 45-54
Tragic
81.6%
Tragic
81.6%

Japanese vs Pennsylvania German Family Structure

When considering family structure, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in single mother households (7.4% compared to 5.8%, a difference of 27.4%), single father households (2.8% compared to 2.4%, a difference of 12.5%), and currently married (44.5% compared to 49.6%, a difference of 11.5%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 66.1%, a difference of 0.36%), divorced or separated (12.0% compared to 12.1%, a difference of 0.81%), and births to unmarried women (35.2% compared to 34.0%, a difference of 3.4%).
Japanese vs Pennsylvania German Family Structure
Family Structure MetricJapanesePennsylvania German
Family Households
Exceptional
65.9%
Exceptional
66.1%
Family Households with Children
Exceptional
29.4%
Fair
27.4%
Married-couple Households
Tragic
45.2%
Exceptional
50.4%
Average Family Size
Exceptional
3.35
Tragic
3.19
Single Father Households
Tragic
2.8%
Tragic
2.4%
Single Mother Households
Tragic
7.4%
Exceptional
5.8%
Currently Married
Tragic
44.5%
Exceptional
49.6%
Divorced or Separated
Good
12.0%
Average
12.1%
Births to Unmarried Women
Tragic
35.2%
Tragic
34.0%

Japanese vs Pennsylvania German Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in no vehicles in household (9.4% compared to 11.0%, a difference of 16.7%), 3 or more vehicles in household (21.8% compared to 22.3%, a difference of 2.6%), and 2 or more vehicles in household (57.5% compared to 58.5%, a difference of 1.8%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.7% compared to 7.6%, a difference of 0.99%), 1 or more vehicles in household (90.6% compared to 89.3%, a difference of 1.5%), and 2 or more vehicles in household (57.5% compared to 58.5%, a difference of 1.8%).
Japanese vs Pennsylvania German Vehicle Availability
Vehicle Availability MetricJapanesePennsylvania German
No Vehicles Available
Exceptional
9.4%
Poor
11.0%
1+ Vehicles Available
Exceptional
90.6%
Fair
89.3%
2+ Vehicles Available
Exceptional
57.5%
Exceptional
58.5%
3+ Vehicles Available
Exceptional
21.8%
Exceptional
22.3%
4+ Vehicles Available
Exceptional
7.7%
Exceptional
7.6%

Japanese vs Pennsylvania German Education Level

When considering education level, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in no schooling completed (3.3% compared to 1.5%, a difference of 125.7%), professional degree (3.5% compared to 3.0%, a difference of 19.4%), and bachelor's degree (33.3% compared to 28.4%, a difference of 17.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (88.3% compared to 88.7%, a difference of 0.39%), 11th grade (89.9% compared to 90.3%, a difference of 0.49%), and ged/equivalency (82.4% compared to 82.9%, a difference of 0.59%).
Japanese vs Pennsylvania German Education Level
Education Level MetricJapanesePennsylvania German
No Schooling Completed
Tragic
3.3%
Exceptional
1.5%
Nursery School
Tragic
96.7%
Exceptional
98.6%
Kindergarten
Tragic
96.7%
Exceptional
98.6%
1st Grade
Tragic
96.6%
Exceptional
98.6%
2nd Grade
Tragic
96.5%
Exceptional
98.5%
3rd Grade
Tragic
96.4%
Exceptional
98.5%
4th Grade
Tragic
96.0%
Exceptional
98.4%
5th Grade
Tragic
95.7%
Exceptional
98.3%
6th Grade
Tragic
95.4%
Exceptional
98.1%
7th Grade
Tragic
94.0%
Exceptional
97.6%
8th Grade
Tragic
93.6%
Exceptional
97.3%
9th Grade
Tragic
92.6%
Tragic
93.3%
10th Grade
Tragic
91.2%
Tragic
91.9%
11th Grade
Tragic
89.9%
Tragic
90.3%
12th Grade, No Diploma
Tragic
88.3%
Tragic
88.7%
High School Diploma
Tragic
85.9%
Tragic
87.0%
GED/Equivalency
Tragic
82.4%
Tragic
82.9%
College, Under 1 year
Tragic
61.5%
Tragic
54.5%
College, 1 year or more
Tragic
55.2%
Tragic
48.5%
Associate's Degree
Tragic
41.7%
Tragic
37.2%
Bachelor's Degree
Tragic
33.3%
Tragic
28.4%
Master's Degree
Tragic
12.5%
Tragic
10.7%
Professional Degree
Tragic
3.5%
Tragic
3.0%
Doctorate Degree
Tragic
1.5%
Tragic
1.4%

Japanese vs Pennsylvania German Disability

When considering disability, the most significant differences between Japanese and Pennsylvania German communities in the United States are seen in disability age under 5 (1.2% compared to 1.9%, a difference of 65.6%), hearing disability (3.0% compared to 3.7%, a difference of 24.3%), 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 (12.3% compared to 12.8%, a difference of 4.0%), vision disability (2.4% compared to 2.2%, a difference of 6.0%), and female disability (12.6% compared to 13.4%, a difference of 6.3%).
Japanese vs Pennsylvania German Disability
Disability MetricJapanesePennsylvania German
Disability
Tragic
12.2%
Tragic
13.2%
Males
Tragic
11.7%
Tragic
13.0%
Females
Tragic
12.6%
Tragic
13.4%
Age | Under 5 years
Exceptional
1.2%
Tragic
1.9%
Age | 5 to 17 years
Tragic
6.1%
Tragic
6.6%
Age | 18 to 34 years
Poor
6.8%
Tragic
7.8%
Age | 35 to 64 years
Tragic
12.3%
Tragic
12.8%
Age | 65 to 74 years
Tragic
25.7%
Poor
24.0%
Age | Over 75 years
Tragic
50.2%
Good
47.2%
Vision
Tragic
2.4%
Poor
2.2%
Hearing
Average
3.0%
Tragic
3.7%
Cognitive
Tragic
18.3%
Exceptional
16.6%
Ambulatory
Poor
6.3%
Tragic
6.8%
Self-Care
Tragic
2.7%
Average
2.5%