Pennsylvania German vs Malaysian Community Comparison

COMPARE

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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalteseMarshalleseMenomineeMexicanMexican 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
Malaysian
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

Malaysians

Fair
Fair
3,991
SOCIAL INDEX
37.4/ 100
SOCIAL RATING
207th/ 347
SOCIAL RANK
3,136
SOCIAL INDEX
28.9/ 100
SOCIAL RATING
232nd/ 347
SOCIAL RANK

Malaysian Integration in Pennsylvania German Communities

The statistical analysis conducted on geographies consisting of 132,648,514 people shows a very strong positive correlation between the proportion of Malaysians within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.822. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.692% in Malaysians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 692.2 Malaysians.
Pennsylvania German Integration in Malaysian Communities

Pennsylvania German vs Malaysian Income

When considering income, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in wage/income gap (30.7% compared to 25.0%, a difference of 22.6%), householder income over 65 years ($52,888 compared to $58,244, a difference of 10.1%), and median female earnings ($34,802 compared to $37,298, a difference of 7.2%). Conversely, both communities are more comparable in terms of median male earnings ($50,878 compared to $50,772, a difference of 0.21%), householder income under 25 years ($50,852 compared to $51,615, a difference of 1.5%), and householder income ages 45 - 64 years ($91,956 compared to $94,517, a difference of 2.8%).
Pennsylvania German vs Malaysian Income
Income MetricPennsylvania GermanMalaysian
Per Capita Income
Tragic
$37,842
Tragic
$39,194
Median Family Income
Tragic
$91,763
Tragic
$95,230
Median Household Income
Tragic
$75,814
Tragic
$81,064
Median Earnings
Tragic
$42,615
Tragic
$43,844
Median Male Earnings
Tragic
$50,878
Tragic
$50,772
Median Female Earnings
Tragic
$34,802
Tragic
$37,298
Householder Age | Under 25 years
Tragic
$50,852
Poor
$51,615
Householder Age | 25 - 44 years
Tragic
$85,836
Tragic
$88,291
Householder Age | 45 - 64 years
Tragic
$91,956
Tragic
$94,517
Householder Age | Over 65 years
Tragic
$52,888
Tragic
$58,244
Wage/Income Gap
Tragic
30.7%
Excellent
25.0%

Pennsylvania German vs Malaysian Poverty

When considering poverty, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in single father poverty (20.0% compared to 14.9%, a difference of 34.0%), single male poverty (15.6% compared to 12.6%, a difference of 23.4%), and single mother poverty (33.2% compared to 29.7%, a difference of 11.9%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (17.8% compared to 17.8%, a difference of 0.020%), seniors poverty over the age of 75 (11.8% compared to 11.8%, a difference of 0.11%), and child poverty under the age of 16 (17.4% compared to 17.5%, a difference of 0.73%).
Pennsylvania German vs Malaysian Poverty
Poverty MetricPennsylvania GermanMalaysian
Poverty
Good
12.2%
Tragic
13.1%
Families
Good
8.8%
Poor
9.6%
Males
Average
11.2%
Tragic
12.0%
Females
Good
13.2%
Tragic
14.3%
Females 18 to 24 years
Excellent
19.7%
Good
19.9%
Females 25 to 34 years
Tragic
15.4%
Tragic
14.7%
Children Under 5 years
Tragic
19.8%
Tragic
18.4%
Children Under 16 years
Tragic
17.4%
Tragic
17.5%
Boys Under 16 years
Tragic
17.9%
Tragic
17.6%
Girls Under 16 years
Tragic
17.8%
Tragic
17.8%
Single Males
Tragic
15.6%
Good
12.6%
Single Females
Tragic
23.6%
Tragic
22.2%
Single Fathers
Tragic
20.0%
Exceptional
14.9%
Single Mothers
Tragic
33.2%
Poor
29.7%
Married Couples
Good
5.1%
Fair
5.4%
Seniors Over 65 years
Exceptional
9.9%
Good
10.8%
Seniors Over 75 years
Excellent
11.8%
Excellent
11.8%
Receiving Food Stamps
Good
11.4%
Tragic
12.7%

Pennsylvania German vs Malaysian Unemployment

When considering unemployment, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.7%, a difference of 39.0%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.6%, a difference of 29.0%), and unemployment among ages 30 to 34 years (6.3% compared to 5.5%, a difference of 14.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.7% compared to 4.7%, a difference of 1.3%), unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 1.6%), and unemployment among ages 60 to 64 years (4.8% compared to 4.7%, a difference of 1.7%).
Pennsylvania German vs Malaysian Unemployment
Unemployment MetricPennsylvania GermanMalaysian
Unemployment
Exceptional
4.6%
Average
5.3%
Males
Exceptional
4.8%
Fair
5.3%
Females
Exceptional
4.8%
Average
5.3%
Youth < 25
Exceptional
10.6%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.2%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.8%
Age | 25 to 29 years
Tragic
7.4%
Good
6.6%
Age | 30 to 34 years
Tragic
6.3%
Average
5.5%
Age | 35 to 44 years
Average
4.7%
Fair
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.7%
Age | 65 to 74 years
Tragic
5.8%
Exceptional
5.2%
Seniors > 65
Tragic
5.4%
Exceptional
5.1%
Seniors > 75
Tragic
10.2%
Poor
8.9%
Women w/ Children < 6
Tragic
10.8%
Fair
7.7%
Women w/ Children 6 to 17
Tragic
11.0%
Exceptional
8.6%
Women w/ Children < 18
Tragic
5.7%
Fair
5.5%

Pennsylvania German vs Malaysian Labor Participation

When considering labor participation, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 39.7%, a difference of 16.9%), in labor force | age > 16 (63.4% compared to 66.1%, a difference of 4.3%), and in labor force | age 30-34 (82.6% compared to 84.1%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 82.0%, a difference of 0.47%), in labor force | age 20-24 (78.0% compared to 77.2%, a difference of 0.95%), and in labor force | age 35-44 (82.9% compared to 83.8%, a difference of 1.1%).
Pennsylvania German vs Malaysian Labor Participation
Labor Participation MetricPennsylvania GermanMalaysian
In Labor Force | Age > 16
Tragic
63.4%
Exceptional
66.1%
In Labor Force | Age 20-64
Tragic
78.4%
Fair
79.5%
In Labor Force | Age 16-19
Exceptional
46.4%
Exceptional
39.7%
In Labor Force | Age 20-24
Exceptional
78.0%
Exceptional
77.2%
In Labor Force | Age 25-29
Tragic
83.6%
Average
84.6%
In Labor Force | Age 30-34
Tragic
82.6%
Tragic
84.1%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
83.8%
In Labor Force | Age 45-54
Tragic
81.6%
Tragic
82.0%

Pennsylvania German vs Malaysian Family Structure

When considering family structure, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in single mother households (5.8% compared to 7.3%, a difference of 25.7%), single father households (2.4% compared to 2.7%, a difference of 11.6%), and family households with children (27.4% compared to 29.8%, a difference of 8.9%). Conversely, both communities are more comparable in terms of births to unmarried women (34.0% compared to 33.9%, a difference of 0.35%), family households (66.1% compared to 65.9%, a difference of 0.39%), and divorced or separated (12.1% compared to 12.4%, a difference of 2.5%).
Pennsylvania German vs Malaysian Family Structure
Family Structure MetricPennsylvania GermanMalaysian
Family Households
Exceptional
66.1%
Exceptional
65.9%
Family Households with Children
Fair
27.4%
Exceptional
29.8%
Married-couple Households
Exceptional
50.4%
Average
46.3%
Average Family Size
Tragic
3.19
Exceptional
3.31
Single Father Households
Tragic
2.4%
Tragic
2.7%
Single Mother Households
Exceptional
5.8%
Tragic
7.3%
Currently Married
Exceptional
49.6%
Poor
45.9%
Divorced or Separated
Average
12.1%
Tragic
12.4%
Births to Unmarried Women
Tragic
34.0%
Tragic
33.9%

Pennsylvania German vs Malaysian Vehicle Availability

When considering vehicle availability, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in no vehicles in household (11.0% compared to 7.7%, a difference of 42.7%), 1 or more vehicles in household (89.3% compared to 92.3%, a difference of 3.4%), and 2 or more vehicles in household (58.5% compared to 59.8%, a difference of 2.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.6% compared to 7.7%, a difference of 0.61%), 3 or more vehicles in household (22.3% compared to 22.6%, a difference of 1.3%), and 2 or more vehicles in household (58.5% compared to 59.8%, a difference of 2.3%).
Pennsylvania German vs Malaysian Vehicle Availability
Vehicle Availability MetricPennsylvania GermanMalaysian
No Vehicles Available
Poor
11.0%
Exceptional
7.7%
1+ Vehicles Available
Fair
89.3%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
58.5%
Exceptional
59.8%
3+ Vehicles Available
Exceptional
22.3%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.7%

Pennsylvania German vs Malaysian Education Level

When considering education level, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in no schooling completed (1.5% compared to 2.8%, a difference of 86.6%), bachelor's degree (28.4% compared to 32.9%, a difference of 16.0%), and college, 1 year or more (48.5% compared to 55.6%, a difference of 14.7%). Conversely, both communities are more comparable in terms of high school diploma (87.0% compared to 87.0%, a difference of 0.020%), 9th grade (93.3% compared to 93.5%, a difference of 0.27%), and 10th grade (91.9% compared to 92.2%, a difference of 0.33%).
Pennsylvania German vs Malaysian Education Level
Education Level MetricPennsylvania GermanMalaysian
No Schooling Completed
Exceptional
1.5%
Tragic
2.8%
Nursery School
Exceptional
98.6%
Tragic
97.3%
Kindergarten
Exceptional
98.6%
Tragic
97.2%
1st Grade
Exceptional
98.6%
Tragic
97.2%
2nd Grade
Exceptional
98.5%
Tragic
97.1%
3rd Grade
Exceptional
98.5%
Tragic
97.0%
4th Grade
Exceptional
98.4%
Tragic
96.7%
5th Grade
Exceptional
98.3%
Tragic
96.5%
6th Grade
Exceptional
98.1%
Tragic
96.2%
7th Grade
Exceptional
97.6%
Tragic
94.8%
8th Grade
Exceptional
97.3%
Tragic
94.5%
9th Grade
Tragic
93.3%
Tragic
93.5%
10th Grade
Tragic
91.9%
Tragic
92.2%
11th Grade
Tragic
90.3%
Tragic
90.8%
12th Grade, No Diploma
Tragic
88.7%
Tragic
89.2%
High School Diploma
Tragic
87.0%
Tragic
87.0%
GED/Equivalency
Tragic
82.9%
Tragic
83.3%
College, Under 1 year
Tragic
54.5%
Tragic
62.2%
College, 1 year or more
Tragic
48.5%
Tragic
55.6%
Associate's Degree
Tragic
37.2%
Tragic
41.6%
Bachelor's Degree
Tragic
28.4%
Tragic
32.9%
Master's Degree
Tragic
10.7%
Tragic
12.0%
Professional Degree
Tragic
3.0%
Tragic
3.4%
Doctorate Degree
Tragic
1.4%
Tragic
1.5%

Pennsylvania German vs Malaysian Disability

When considering disability, the most significant differences between Pennsylvania German and Malaysian communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 50.8%), hearing disability (3.7% compared to 3.2%, a difference of 17.5%), and disability age 5 to 17 (6.6% compared to 5.8%, a difference of 12.9%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (12.8% compared to 12.5%, a difference of 3.0%), self-care disability (2.5% compared to 2.5%, a difference of 3.1%), and disability age over 75 (47.2% compared to 49.0%, a difference of 3.9%).
Pennsylvania German vs Malaysian Disability
Disability MetricPennsylvania GermanMalaysian
Disability
Tragic
13.2%
Tragic
12.2%
Males
Tragic
13.0%
Tragic
11.8%
Females
Tragic
13.4%
Tragic
12.5%
Age | Under 5 years
Tragic
1.9%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.6%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.8%
Tragic
7.2%
Age | 35 to 64 years
Tragic
12.8%
Tragic
12.5%
Age | 65 to 74 years
Poor
24.0%
Tragic
25.4%
Age | Over 75 years
Good
47.2%
Tragic
49.0%
Vision
Poor
2.2%
Tragic
2.3%
Hearing
Tragic
3.7%
Tragic
3.2%
Cognitive
Exceptional
16.6%
Tragic
17.9%
Ambulatory
Tragic
6.8%
Fair
6.2%
Self-Care
Average
2.5%
Tragic
2.5%