Malaysian vs Pennsylvania German Community Comparison

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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 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)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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Malaysians

Pennsylvania Germans

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

Pennsylvania German Integration in Malaysian Communities

The statistical analysis conducted on geographies consisting of 132,648,459 people shows a moderate positive correlation between the proportion of Pennsylvania Germans within Malaysian communities in the United States with a correlation coefficient (R) of 0.414. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is an increase of 0.051% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Malaysians corresponds to an increase of 50.7 Pennsylvania Germans.
Malaysian Integration in Pennsylvania German Communities

Malaysian vs Pennsylvania German Income

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

Malaysian vs Pennsylvania German Poverty

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

Malaysian vs Pennsylvania German Unemployment

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

Malaysian vs Pennsylvania German Labor Participation

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

Malaysian vs Pennsylvania German Family Structure

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

Malaysian vs Pennsylvania German Vehicle Availability

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

Malaysian vs Pennsylvania German Education Level

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

Malaysian vs Pennsylvania German Disability

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