Pennsylvania German vs Japanese Community Comparison

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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
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 HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.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

Pennsylvania Germans

Japanese

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

Japanese Integration in Pennsylvania German Communities

The statistical analysis conducted on geographies consisting of 136,703,963 people shows a moderate positive correlation between the proportion of Japanese within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.418. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.352% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 352.0 Japanese.
Pennsylvania German Integration in Japanese Communities

Pennsylvania German vs Japanese Income

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

Pennsylvania German vs Japanese Poverty

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

Pennsylvania German vs Japanese Unemployment

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

Pennsylvania German vs Japanese Labor Participation

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

Pennsylvania German vs Japanese Family Structure

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

Pennsylvania German vs Japanese Vehicle Availability

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

Pennsylvania German vs Japanese Education Level

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

Pennsylvania German vs Japanese Disability

When considering disability, the most significant differences between Pennsylvania German and Japanese communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 65.6%), hearing disability (3.7% compared to 3.0%, a difference of 24.3%), and disability age 18 to 34 (7.8% compared to 6.8%, a difference of 14.5%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (12.8% compared to 12.3%, a difference of 4.0%), vision disability (2.2% compared to 2.4%, a difference of 6.0%), and female disability (13.4% compared to 12.6%, a difference of 6.3%).
Pennsylvania German vs Japanese Disability
Disability MetricPennsylvania GermanJapanese
Disability
Tragic
13.2%
Tragic
12.2%
Males
Tragic
13.0%
Tragic
11.7%
Females
Tragic
13.4%
Tragic
12.6%
Age | Under 5 years
Tragic
1.9%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
6.6%
Tragic
6.1%
Age | 18 to 34 years
Tragic
7.8%
Poor
6.8%
Age | 35 to 64 years
Tragic
12.8%
Tragic
12.3%
Age | 65 to 74 years
Poor
24.0%
Tragic
25.7%
Age | Over 75 years
Good
47.2%
Tragic
50.2%
Vision
Poor
2.2%
Tragic
2.4%
Hearing
Tragic
3.7%
Average
3.0%
Cognitive
Exceptional
16.6%
Tragic
18.3%
Ambulatory
Tragic
6.8%
Poor
6.3%
Self-Care
Average
2.5%
Tragic
2.7%