Burmese vs Malaysian Community Comparison

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Burmese
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 IndianBulgarianCajunCambodianCanadianCape 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

Burmese

Malaysians

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
3,136
SOCIAL INDEX
28.9/ 100
SOCIAL RATING
232nd/ 347
SOCIAL RANK

Malaysian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 216,882,894 people shows a slight positive correlation between the proportion of Malaysians within Burmese communities in the United States with a correlation coefficient (R) of 0.092. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.006% in Malaysians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 6.3 Malaysians.
Burmese Integration in Malaysian Communities

Burmese vs Malaysian Income

When considering income, the most significant differences between Burmese and Malaysian communities in the United States are seen in per capita income ($52,005 compared to $39,194, a difference of 32.7%), median family income ($123,369 compared to $95,230, a difference of 29.5%), and householder income ages 25 - 44 years ($113,701 compared to $88,291, a difference of 28.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $51,615, a difference of 6.2%), wage/income gap (28.0% compared to 25.0%, a difference of 11.9%), and median female earnings ($44,911 compared to $37,298, a difference of 20.4%).
Burmese vs Malaysian Income
Income MetricBurmeseMalaysian
Per Capita Income
Exceptional
$52,005
Tragic
$39,194
Median Family Income
Exceptional
$123,369
Tragic
$95,230
Median Household Income
Exceptional
$103,145
Tragic
$81,064
Median Earnings
Exceptional
$54,559
Tragic
$43,844
Median Male Earnings
Exceptional
$65,236
Tragic
$50,772
Median Female Earnings
Exceptional
$44,911
Tragic
$37,298
Householder Age | Under 25 years
Exceptional
$54,800
Poor
$51,615
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$88,291
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$94,517
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$58,244
Wage/Income Gap
Tragic
28.0%
Excellent
25.0%

Burmese vs Malaysian Poverty

When considering poverty, the most significant differences between Burmese and Malaysian communities in the United States are seen in receiving food stamps (8.6% compared to 12.7%, a difference of 47.0%), child poverty under the age of 5 (13.2% compared to 18.4%, a difference of 39.3%), and child poverty under the age of 16 (12.8% compared to 17.5%, a difference of 37.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 11.8%, a difference of 0.83%), single father poverty (15.5% compared to 14.9%, a difference of 3.5%), and female poverty among 18-24 year olds (18.9% compared to 19.9%, a difference of 5.0%).
Burmese vs Malaysian Poverty
Poverty MetricBurmeseMalaysian
Poverty
Exceptional
10.7%
Tragic
13.1%
Families
Exceptional
7.3%
Poor
9.6%
Males
Exceptional
9.7%
Tragic
12.0%
Females
Exceptional
11.6%
Tragic
14.3%
Females 18 to 24 years
Exceptional
18.9%
Good
19.9%
Females 25 to 34 years
Exceptional
11.2%
Tragic
14.7%
Children Under 5 years
Exceptional
13.2%
Tragic
18.4%
Children Under 16 years
Exceptional
12.8%
Tragic
17.5%
Boys Under 16 years
Exceptional
13.0%
Tragic
17.6%
Girls Under 16 years
Exceptional
13.0%
Tragic
17.8%
Single Males
Exceptional
11.7%
Good
12.6%
Single Females
Exceptional
18.3%
Tragic
22.2%
Single Fathers
Exceptional
15.5%
Exceptional
14.9%
Single Mothers
Exceptional
26.2%
Poor
29.7%
Married Couples
Exceptional
4.3%
Fair
5.4%
Seniors Over 65 years
Exceptional
10.1%
Good
10.8%
Seniors Over 75 years
Excellent
11.7%
Excellent
11.8%
Receiving Food Stamps
Exceptional
8.6%
Tragic
12.7%

Burmese vs Malaysian Unemployment

When considering unemployment, the most significant differences between Burmese and Malaysian communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.7%, a difference of 19.5%), unemployment among women with children under 18 years (4.9% compared to 5.5%, a difference of 11.2%), and unemployment among ages 35 to 44 years (4.3% compared to 4.7%, a difference of 9.7%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.4%, a difference of 0.090%), unemployment among ages 16 to 19 years (17.0% compared to 17.0%, a difference of 0.18%), and unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.27%).
Burmese vs Malaysian Unemployment
Unemployment MetricBurmeseMalaysian
Unemployment
Exceptional
4.9%
Average
5.3%
Males
Exceptional
4.9%
Fair
5.3%
Females
Exceptional
5.0%
Average
5.3%
Youth < 25
Excellent
11.3%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
17.0%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.8%
Age | 25 to 29 years
Exceptional
6.2%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Fair
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
5.1%
Seniors > 75
Exceptional
8.2%
Poor
8.9%
Women w/ Children < 6
Exceptional
6.5%
Fair
7.7%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.9%
Fair
5.5%

Burmese vs Malaysian Labor Participation

When considering labor participation, the most significant differences between Burmese and Malaysian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 39.7%, a difference of 15.2%), in labor force | age 20-24 (73.6% compared to 77.2%, a difference of 5.0%), and in labor force | age 45-54 (83.6% compared to 82.0%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.1%, a difference of 0.12%), in labor force | age 25-29 (85.1% compared to 84.6%, a difference of 0.60%), and in labor force | age 20-64 (80.3% compared to 79.5%, a difference of 1.0%).
Burmese vs Malaysian Labor Participation
Labor Participation MetricBurmeseMalaysian
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
80.3%
Fair
79.5%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
39.7%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.2%
In Labor Force | Age 25-29
Exceptional
85.1%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
84.1%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
82.0%

Burmese vs Malaysian Family Structure

When considering family structure, the most significant differences between Burmese and Malaysian communities in the United States are seen in single mother households (5.3% compared to 7.3%, a difference of 38.2%), single father households (2.0% compared to 2.7%, a difference of 34.3%), and births to unmarried women (26.4% compared to 33.9%, a difference of 28.5%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 65.9%, a difference of 0.19%), average family size (3.22 compared to 3.31, a difference of 2.9%), and family households with children (28.5% compared to 29.8%, a difference of 4.6%).
Burmese vs Malaysian Family Structure
Family Structure MetricBurmeseMalaysian
Family Households
Exceptional
65.7%
Exceptional
65.9%
Family Households with Children
Exceptional
28.5%
Exceptional
29.8%
Married-couple Households
Exceptional
49.8%
Average
46.3%
Average Family Size
Fair
3.22
Exceptional
3.31
Single Father Households
Exceptional
2.0%
Tragic
2.7%
Single Mother Households
Exceptional
5.3%
Tragic
7.3%
Currently Married
Exceptional
48.9%
Poor
45.9%
Divorced or Separated
Exceptional
10.7%
Tragic
12.4%
Births to Unmarried Women
Exceptional
26.4%
Tragic
33.9%

Burmese vs Malaysian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Malaysian communities in the United States are seen in no vehicles in household (9.7% compared to 7.7%, a difference of 25.5%), 4 or more vehicles in household (6.8% compared to 7.7%, a difference of 12.3%), and 3 or more vehicles in household (20.6% compared to 22.6%, a difference of 9.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 92.3%, a difference of 2.1%), 2 or more vehicles in household (57.8% compared to 59.8%, a difference of 3.5%), and 3 or more vehicles in household (20.6% compared to 22.6%, a difference of 9.6%).
Burmese vs Malaysian Vehicle Availability
Vehicle Availability MetricBurmeseMalaysian
No Vehicles Available
Excellent
9.7%
Exceptional
7.7%
1+ Vehicles Available
Excellent
90.4%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
59.8%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.7%

Burmese vs Malaysian Education Level

When considering education level, the most significant differences between Burmese and Malaysian communities in the United States are seen in doctorate degree (2.6% compared to 1.5%, a difference of 81.0%), professional degree (6.1% compared to 3.4%, a difference of 81.0%), and master's degree (19.7% compared to 12.0%, a difference of 63.7%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.3%, a difference of 0.85%), kindergarten (98.1% compared to 97.2%, a difference of 0.85%), and 1st grade (98.0% compared to 97.2%, a difference of 0.86%).
Burmese vs Malaysian Education Level
Education Level MetricBurmeseMalaysian
No Schooling Completed
Excellent
1.9%
Tragic
2.8%
Nursery School
Excellent
98.1%
Tragic
97.3%
Kindergarten
Excellent
98.1%
Tragic
97.2%
1st Grade
Excellent
98.0%
Tragic
97.2%
2nd Grade
Excellent
98.0%
Tragic
97.1%
3rd Grade
Good
97.9%
Tragic
97.0%
4th Grade
Excellent
97.7%
Tragic
96.7%
5th Grade
Excellent
97.5%
Tragic
96.5%
6th Grade
Excellent
97.3%
Tragic
96.2%
7th Grade
Excellent
96.3%
Tragic
94.8%
8th Grade
Exceptional
96.1%
Tragic
94.5%
9th Grade
Exceptional
95.4%
Tragic
93.5%
10th Grade
Exceptional
94.5%
Tragic
92.2%
11th Grade
Exceptional
93.6%
Tragic
90.8%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
89.2%
High School Diploma
Exceptional
90.8%
Tragic
87.0%
GED/Equivalency
Exceptional
88.3%
Tragic
83.3%
College, Under 1 year
Exceptional
71.9%
Tragic
62.2%
College, 1 year or more
Exceptional
66.7%
Tragic
55.6%
Associate's Degree
Exceptional
54.6%
Tragic
41.6%
Bachelor's Degree
Exceptional
46.9%
Tragic
32.9%
Master's Degree
Exceptional
19.7%
Tragic
12.0%
Professional Degree
Exceptional
6.1%
Tragic
3.4%
Doctorate Degree
Exceptional
2.6%
Tragic
1.5%

Burmese vs Malaysian Disability

When considering disability, the most significant differences between Burmese and Malaysian communities in the United States are seen in disability age 35 to 64 (9.2% compared to 12.5%, a difference of 35.4%), vision disability (1.8% compared to 2.3%, a difference of 25.7%), and disability age 65 to 74 (20.6% compared to 25.4%, a difference of 23.2%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 49.0%, a difference of 6.7%), cognitive disability (16.7% compared to 17.9%, a difference of 7.4%), and self-care disability (2.3% compared to 2.5%, a difference of 12.4%).
Burmese vs Malaysian Disability
Disability MetricBurmeseMalaysian
Disability
Exceptional
10.4%
Tragic
12.2%
Males
Exceptional
10.0%
Tragic
11.8%
Females
Exceptional
10.7%
Tragic
12.5%
Age | Under 5 years
Exceptional
1.1%
Poor
1.3%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
25.4%
Age | Over 75 years
Exceptional
45.9%
Tragic
49.0%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Tragic
17.9%
Ambulatory
Exceptional
5.3%
Fair
6.2%
Self-Care
Exceptional
2.3%
Tragic
2.5%