Malaysian vs Burmese Community Comparison

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

Social Comparison

Malaysians

Burmese

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

Burmese Integration in Malaysian Communities

The statistical analysis conducted on geographies consisting of 216,882,894 people shows a poor positive correlation between the proportion of Burmese within Malaysian communities in the United States with a correlation coefficient (R) of 0.150. On average, for every 1% (one percent) increase in Malaysians within a typical geography, there is an increase of 0.083% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Malaysians corresponds to an increase of 83.1 Burmese.
Malaysian Integration in Burmese Communities

Malaysian vs Burmese Income

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

Malaysian vs Burmese Poverty

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

Malaysian vs Burmese Unemployment

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

Malaysian vs Burmese Labor Participation

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

Malaysian vs Burmese Family Structure

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

Malaysian vs Burmese Vehicle Availability

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

Malaysian vs Burmese Education Level

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

Malaysian vs Burmese Disability

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