White/Caucasian vs Malaysian Community Comparison

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White/Caucasian
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 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

Whites/Caucasians

Malaysians

Average
Fair
5,140
SOCIAL INDEX
48.9/ 100
SOCIAL RATING
185th/ 347
SOCIAL RANK
3,136
SOCIAL INDEX
28.9/ 100
SOCIAL RATING
232nd/ 347
SOCIAL RANK

Malaysian Integration in White/Caucasian Communities

The statistical analysis conducted on geographies consisting of 226,099,814 people shows a weak negative correlation between the proportion of Malaysians within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.205. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.001% in Malaysians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 1.2 Malaysians.
White/Caucasian Integration in Malaysian Communities

White/Caucasian vs Malaysian Income

When considering income, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in wage/income gap (28.5% compared to 25.0%, a difference of 13.9%), per capita income ($42,180 compared to $39,194, a difference of 7.6%), and median male earnings ($53,925 compared to $50,772, a difference of 6.2%). Conversely, both communities are more comparable in terms of median female earnings ($37,531 compared to $37,298, a difference of 0.62%), householder income over 65 years ($58,847 compared to $58,244, a difference of 1.0%), and median household income ($82,029 compared to $81,064, a difference of 1.2%).
White/Caucasian vs Malaysian Income
Income MetricWhite/CaucasianMalaysian
Per Capita Income
Poor
$42,180
Tragic
$39,194
Median Family Income
Poor
$99,800
Tragic
$95,230
Median Household Income
Poor
$82,029
Tragic
$81,064
Median Earnings
Poor
$45,197
Tragic
$43,844
Median Male Earnings
Fair
$53,925
Tragic
$50,772
Median Female Earnings
Tragic
$37,531
Tragic
$37,298
Householder Age | Under 25 years
Tragic
$50,336
Poor
$51,615
Householder Age | 25 - 44 years
Poor
$91,668
Tragic
$88,291
Householder Age | 45 - 64 years
Fair
$98,091
Tragic
$94,517
Householder Age | Over 65 years
Tragic
$58,847
Tragic
$58,244
Wage/Income Gap
Tragic
28.5%
Excellent
25.0%

White/Caucasian vs Malaysian Poverty

When considering poverty, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in single father poverty (18.4% compared to 14.9%, a difference of 22.9%), receiving food stamps (11.1% compared to 12.7%, a difference of 14.9%), and single male poverty (14.5% compared to 12.6%, a difference of 14.8%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (14.7% compared to 14.7%, a difference of 0.51%), child poverty under the age of 5 (18.1% compared to 18.4%, a difference of 1.8%), and single female poverty (22.7% compared to 22.2%, a difference of 2.4%).
White/Caucasian vs Malaysian Poverty
Poverty MetricWhite/CaucasianMalaysian
Poverty
Average
12.3%
Tragic
13.1%
Families
Good
8.8%
Poor
9.6%
Males
Average
11.1%
Tragic
12.0%
Females
Average
13.4%
Tragic
14.3%
Females 18 to 24 years
Tragic
20.8%
Good
19.9%
Females 25 to 34 years
Tragic
14.7%
Tragic
14.7%
Children Under 5 years
Poor
18.1%
Tragic
18.4%
Children Under 16 years
Average
16.2%
Tragic
17.5%
Boys Under 16 years
Average
16.5%
Tragic
17.6%
Girls Under 16 years
Average
16.6%
Tragic
17.8%
Single Males
Tragic
14.5%
Good
12.6%
Single Females
Tragic
22.7%
Tragic
22.2%
Single Fathers
Tragic
18.4%
Exceptional
14.9%
Single Mothers
Tragic
31.2%
Poor
29.7%
Married Couples
Exceptional
4.8%
Fair
5.4%
Seniors Over 65 years
Exceptional
10.0%
Good
10.8%
Seniors Over 75 years
Exceptional
11.4%
Excellent
11.8%
Receiving Food Stamps
Excellent
11.1%
Tragic
12.7%

White/Caucasian vs Malaysian Unemployment

When considering unemployment, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.6% compared to 8.6%, a difference of 12.7%), unemployment among seniors over 75 years (10.1% compared to 8.9%, a difference of 12.6%), and unemployment (4.9% compared to 5.3%, a difference of 8.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 4.7%, a difference of 0.020%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.46%), and unemployment among ages 16 to 19 years (16.8% compared to 17.0%, a difference of 1.1%).
White/Caucasian vs Malaysian Unemployment
Unemployment MetricWhite/CaucasianMalaysian
Unemployment
Exceptional
4.9%
Average
5.3%
Males
Exceptional
5.0%
Fair
5.3%
Females
Exceptional
4.9%
Average
5.3%
Youth < 25
Exceptional
11.2%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
17.0%
Age | 20 to 24 years
Excellent
10.1%
Exceptional
9.8%
Age | 25 to 29 years
Poor
6.9%
Good
6.6%
Age | 30 to 34 years
Tragic
5.7%
Average
5.5%
Age | 35 to 44 years
Good
4.6%
Fair
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.7%
Age | 65 to 74 years
Average
5.4%
Exceptional
5.2%
Seniors > 65
Excellent
5.1%
Exceptional
5.1%
Seniors > 75
Tragic
10.1%
Poor
8.9%
Women w/ Children < 6
Tragic
8.4%
Fair
7.7%
Women w/ Children 6 to 17
Tragic
9.6%
Exceptional
8.6%
Women w/ Children < 18
Excellent
5.3%
Fair
5.5%

White/Caucasian vs Malaysian Labor Participation

When considering labor participation, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 39.7%, a difference of 4.0%), in labor force | age > 16 (63.6% compared to 66.1%, a difference of 4.0%), and in labor force | age 20-64 (78.5% compared to 79.5%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 83.8%, a difference of 0.13%), in labor force | age 45-54 (81.9% compared to 82.0%, a difference of 0.20%), and in labor force | age 30-34 (83.9% compared to 84.1%, a difference of 0.28%).
White/Caucasian vs Malaysian Labor Participation
Labor Participation MetricWhite/CaucasianMalaysian
In Labor Force | Age > 16
Tragic
63.6%
Exceptional
66.1%
In Labor Force | Age 20-64
Tragic
78.5%
Fair
79.5%
In Labor Force | Age 16-19
Exceptional
41.3%
Exceptional
39.7%
In Labor Force | Age 20-24
Exceptional
76.9%
Exceptional
77.2%
In Labor Force | Age 25-29
Tragic
84.2%
Average
84.6%
In Labor Force | Age 30-34
Tragic
83.9%
Tragic
84.1%
In Labor Force | Age 35-44
Tragic
83.6%
Tragic
83.8%
In Labor Force | Age 45-54
Tragic
81.9%
Tragic
82.0%

White/Caucasian vs Malaysian Family Structure

When considering family structure, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in single mother households (6.1% compared to 7.3%, a difference of 19.6%), single father households (2.4% compared to 2.7%, a difference of 14.2%), and family households with children (27.4% compared to 29.8%, a difference of 8.6%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.9%, a difference of 1.2%), births to unmarried women (33.3% compared to 33.9%, a difference of 1.9%), and divorced or separated (12.6% compared to 12.4%, a difference of 2.0%).
White/Caucasian vs Malaysian Family Structure
Family Structure MetricWhite/CaucasianMalaysian
Family Households
Exceptional
65.1%
Exceptional
65.9%
Family Households with Children
Average
27.4%
Exceptional
29.8%
Married-couple Households
Exceptional
48.6%
Average
46.3%
Average Family Size
Tragic
3.14
Exceptional
3.31
Single Father Households
Fair
2.4%
Tragic
2.7%
Single Mother Households
Good
6.1%
Tragic
7.3%
Currently Married
Exceptional
48.6%
Poor
45.9%
Divorced or Separated
Tragic
12.6%
Tragic
12.4%
Births to Unmarried Women
Poor
33.3%
Tragic
33.9%

White/Caucasian vs Malaysian Vehicle Availability

When considering vehicle availability, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in no vehicles in household (7.0% compared to 7.7%, a difference of 9.6%), 4 or more vehicles in household (7.4% compared to 7.7%, a difference of 4.1%), and 2 or more vehicles in household (60.8% compared to 59.8%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.6% compared to 22.6%, a difference of 0.18%), 1 or more vehicles in household (93.1% compared to 92.3%, a difference of 0.84%), and 2 or more vehicles in household (60.8% compared to 59.8%, a difference of 1.6%).
White/Caucasian vs Malaysian Vehicle Availability
Vehicle Availability MetricWhite/CaucasianMalaysian
No Vehicles Available
Exceptional
7.0%
Exceptional
7.7%
1+ Vehicles Available
Exceptional
93.1%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
60.8%
Exceptional
59.8%
3+ Vehicles Available
Exceptional
22.6%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
7.4%
Exceptional
7.7%

White/Caucasian vs Malaysian Education Level

When considering education level, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in no schooling completed (1.6% compared to 2.8%, a difference of 69.7%), doctorate degree (1.8% compared to 1.5%, a difference of 20.7%), and professional degree (4.1% compared to 3.4%, a difference of 20.1%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.3%, a difference of 1.2%), kindergarten (98.4% compared to 97.2%, a difference of 1.2%), and 1st grade (98.4% compared to 97.2%, a difference of 1.2%).
White/Caucasian vs Malaysian Education Level
Education Level MetricWhite/CaucasianMalaysian
No Schooling Completed
Exceptional
1.6%
Tragic
2.8%
Nursery School
Exceptional
98.5%
Tragic
97.3%
Kindergarten
Exceptional
98.4%
Tragic
97.2%
1st Grade
Exceptional
98.4%
Tragic
97.2%
2nd Grade
Exceptional
98.4%
Tragic
97.1%
3rd Grade
Exceptional
98.3%
Tragic
97.0%
4th Grade
Exceptional
98.1%
Tragic
96.7%
5th Grade
Exceptional
97.9%
Tragic
96.5%
6th Grade
Exceptional
97.7%
Tragic
96.2%
7th Grade
Exceptional
97.0%
Tragic
94.8%
8th Grade
Exceptional
96.7%
Tragic
94.5%
9th Grade
Exceptional
95.8%
Tragic
93.5%
10th Grade
Exceptional
94.7%
Tragic
92.2%
11th Grade
Exceptional
93.3%
Tragic
90.8%
12th Grade, No Diploma
Exceptional
91.8%
Tragic
89.2%
High School Diploma
Exceptional
90.1%
Tragic
87.0%
GED/Equivalency
Good
86.2%
Tragic
83.3%
College, Under 1 year
Poor
64.0%
Tragic
62.2%
College, 1 year or more
Tragic
57.6%
Tragic
55.6%
Associate's Degree
Tragic
44.2%
Tragic
41.6%
Bachelor's Degree
Tragic
35.3%
Tragic
32.9%
Master's Degree
Tragic
13.8%
Tragic
12.0%
Professional Degree
Poor
4.1%
Tragic
3.4%
Doctorate Degree
Fair
1.8%
Tragic
1.5%

White/Caucasian vs Malaysian Disability

When considering disability, the most significant differences between White/Caucasian and Malaysian communities in the United States are seen in disability age under 5 (1.7% compared to 1.3%, a difference of 28.4%), hearing disability (3.7% compared to 3.2%, a difference of 15.8%), and male disability (12.8% compared to 11.8%, a difference of 8.5%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.5%, a difference of 0.69%), disability age 35 to 64 (12.6% compared to 12.5%, a difference of 1.2%), and vision disability (2.4% compared to 2.3%, a difference of 2.3%).
White/Caucasian vs Malaysian Disability
Disability MetricWhite/CaucasianMalaysian
Disability
Tragic
13.0%
Tragic
12.2%
Males
Tragic
12.8%
Tragic
11.8%
Females
Tragic
13.2%
Tragic
12.5%
Age | Under 5 years
Tragic
1.7%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.2%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.6%
Tragic
7.2%
Age | 35 to 64 years
Tragic
12.6%
Tragic
12.5%
Age | 65 to 74 years
Tragic
24.2%
Tragic
25.4%
Age | Over 75 years
Average
47.3%
Tragic
49.0%
Vision
Tragic
2.4%
Tragic
2.3%
Hearing
Tragic
3.7%
Tragic
3.2%
Cognitive
Exceptional
17.0%
Tragic
17.9%
Ambulatory
Tragic
6.7%
Fair
6.2%
Self-Care
Tragic
2.6%
Tragic
2.5%