Burmese vs American Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianApacheArabArapahoArgentineanArmenianAssyrian/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
American
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

Americans

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
3,435
SOCIAL INDEX
31.9/ 100
SOCIAL RATING
220th/ 347
SOCIAL RANK

American Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 465,038,199 people shows a mild negative correlation between the proportion of Americans within Burmese communities in the United States with a correlation coefficient (R) of -0.373. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.037% in Americans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 36.7 Americans.
Burmese Integration in American Communities

Burmese vs American Income

When considering income, the most significant differences between Burmese and American communities in the United States are seen in median household income ($103,145 compared to $75,932, a difference of 35.8%), householder income ages 45 - 64 years ($121,444 compared to $90,536, a difference of 34.1%), and householder income ages 25 - 44 years ($113,701 compared to $84,791, a difference of 34.1%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 27.8%, a difference of 0.62%), householder income under 25 years ($54,800 compared to $48,860, a difference of 12.2%), and median female earnings ($44,911 compared to $35,777, a difference of 25.5%).
Burmese vs American Income
Income MetricBurmeseAmerican
Per Capita Income
Exceptional
$52,005
Tragic
$39,039
Median Family Income
Exceptional
$123,369
Tragic
$92,096
Median Household Income
Exceptional
$103,145
Tragic
$75,932
Median Earnings
Exceptional
$54,559
Tragic
$42,742
Median Male Earnings
Exceptional
$65,236
Tragic
$50,761
Median Female Earnings
Exceptional
$44,911
Tragic
$35,777
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$48,860
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$84,791
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$90,536
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$55,527
Wage/Income Gap
Tragic
28.0%
Tragic
27.8%

Burmese vs American Poverty

When considering poverty, the most significant differences between Burmese and American communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 20.5%, a difference of 54.7%), female poverty among 25-34 year olds (11.2% compared to 16.4%, a difference of 46.4%), and child poverty among girls under 16 (13.0% compared to 18.8%, a difference of 44.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 12.0%, a difference of 2.5%), seniors poverty over the age of 65 (10.1% compared to 10.6%, a difference of 5.5%), and female poverty among 18-24 year olds (18.9% compared to 21.6%, a difference of 14.0%).
Burmese vs American Poverty
Poverty MetricBurmeseAmerican
Poverty
Exceptional
10.7%
Tragic
13.4%
Families
Exceptional
7.3%
Tragic
9.8%
Males
Exceptional
9.7%
Tragic
12.1%
Females
Exceptional
11.6%
Tragic
14.6%
Females 18 to 24 years
Exceptional
18.9%
Tragic
21.6%
Females 25 to 34 years
Exceptional
11.2%
Tragic
16.4%
Children Under 5 years
Exceptional
13.2%
Tragic
20.5%
Children Under 16 years
Exceptional
12.8%
Tragic
18.3%
Boys Under 16 years
Exceptional
13.0%
Tragic
18.6%
Girls Under 16 years
Exceptional
13.0%
Tragic
18.8%
Single Males
Exceptional
11.7%
Tragic
15.8%
Single Females
Exceptional
18.3%
Tragic
24.5%
Single Fathers
Exceptional
15.5%
Tragic
20.1%
Single Mothers
Exceptional
26.2%
Tragic
33.5%
Married Couples
Exceptional
4.3%
Fair
5.3%
Seniors Over 65 years
Exceptional
10.1%
Good
10.6%
Seniors Over 75 years
Excellent
11.7%
Good
12.0%
Receiving Food Stamps
Exceptional
8.6%
Fair
12.2%

Burmese vs American Unemployment

When considering unemployment, the most significant differences between Burmese and American communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 9.3%, a difference of 42.8%), unemployment among women with children ages 6 to 17 years (8.0% compared to 10.4%, a difference of 30.9%), and unemployment among seniors over 75 years (8.2% compared to 10.4%, a difference of 27.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.41%), female unemployment (5.0% compared to 5.1%, a difference of 1.3%), and unemployment (4.9% compared to 5.0%, a difference of 2.1%).
Burmese vs American Unemployment
Unemployment MetricBurmeseAmerican
Unemployment
Exceptional
4.9%
Exceptional
5.0%
Males
Exceptional
4.9%
Good
5.2%
Females
Exceptional
5.0%
Exceptional
5.1%
Youth < 25
Excellent
11.3%
Fair
11.7%
Age | 16 to 19 years
Exceptional
17.0%
Average
17.6%
Age | 20 to 24 years
Excellent
10.2%
Tragic
10.6%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
7.4%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
6.2%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
4.9%
Age | 45 to 54 years
Exceptional
4.2%
Excellent
4.4%
Age | 55 to 59 years
Exceptional
4.5%
Good
4.8%
Age | 60 to 64 years
Excellent
4.8%
Good
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.5%
Seniors > 65
Exceptional
5.0%
Fair
5.2%
Seniors > 75
Exceptional
8.2%
Tragic
10.4%
Women w/ Children < 6
Exceptional
6.5%
Tragic
9.3%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
10.4%
Women w/ Children < 18
Exceptional
4.9%
Tragic
5.7%

Burmese vs American Labor Participation

When considering labor participation, the most significant differences between Burmese and American communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.3%, a difference of 16.8%), in labor force | age > 16 (66.2% compared to 62.1%, a difference of 6.6%), and in labor force | age 20-64 (80.3% compared to 77.0%, a difference of 4.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 83.1%, a difference of 2.4%), in labor force | age 35-44 (84.7% compared to 82.4%, a difference of 2.8%), and in labor force | age 30-34 (85.3% compared to 82.7%, a difference of 3.1%).
Burmese vs American Labor Participation
Labor Participation MetricBurmeseAmerican
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
62.1%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
77.0%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
40.3%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
76.1%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
83.1%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
82.7%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
82.4%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
80.4%

Burmese vs American Family Structure

When considering family structure, the most significant differences between Burmese and American communities in the United States are seen in births to unmarried women (26.4% compared to 36.4%, a difference of 38.1%), single mother households (5.3% compared to 6.6%, a difference of 24.1%), and divorced or separated (10.7% compared to 13.2%, a difference of 23.5%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 65.5%, a difference of 0.37%), average family size (3.22 compared to 3.16, a difference of 1.8%), and currently married (48.9% compared to 48.0%, a difference of 2.1%).
Burmese vs American Family Structure
Family Structure MetricBurmeseAmerican
Family Households
Exceptional
65.7%
Exceptional
65.5%
Family Households with Children
Exceptional
28.5%
Fair
27.3%
Married-couple Households
Exceptional
49.8%
Exceptional
47.9%
Average Family Size
Fair
3.22
Tragic
3.16
Single Father Households
Exceptional
2.0%
Tragic
2.4%
Single Mother Households
Exceptional
5.3%
Poor
6.6%
Currently Married
Exceptional
48.9%
Exceptional
48.0%
Divorced or Separated
Exceptional
10.7%
Tragic
13.2%
Births to Unmarried Women
Exceptional
26.4%
Tragic
36.4%

Burmese vs American Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and American communities in the United States are seen in no vehicles in household (9.7% compared to 7.7%, a difference of 26.4%), 4 or more vehicles in household (6.8% compared to 7.5%, a difference of 10.2%), 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 92.5%, a difference of 2.3%), 2 or more vehicles in household (57.8% compared to 60.0%, a difference of 3.9%), and 3 or more vehicles in household (20.6% compared to 22.6%, a difference of 9.6%).
Burmese vs American Vehicle Availability
Vehicle Availability MetricBurmeseAmerican
No Vehicles Available
Excellent
9.7%
Exceptional
7.7%
1+ Vehicles Available
Excellent
90.4%
Exceptional
92.5%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
60.0%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.5%

Burmese vs American Education Level

When considering education level, the most significant differences between Burmese and American communities in the United States are seen in professional degree (6.1% compared to 3.6%, a difference of 72.3%), doctorate degree (2.6% compared to 1.5%, a difference of 72.2%), and master's degree (19.7% compared to 12.3%, a difference of 60.2%). Conversely, both communities are more comparable in terms of 10th grade (94.5% compared to 94.3%, a difference of 0.15%), 9th grade (95.4% compared to 95.6%, a difference of 0.19%), and nursery school (98.1% compared to 98.4%, a difference of 0.35%).
Burmese vs American Education Level
Education Level MetricBurmeseAmerican
No Schooling Completed
Excellent
1.9%
Exceptional
1.7%
Nursery School
Excellent
98.1%
Exceptional
98.4%
Kindergarten
Excellent
98.1%
Exceptional
98.4%
1st Grade
Excellent
98.0%
Exceptional
98.4%
2nd Grade
Excellent
98.0%
Exceptional
98.3%
3rd Grade
Good
97.9%
Exceptional
98.3%
4th Grade
Excellent
97.7%
Exceptional
98.1%
5th Grade
Excellent
97.5%
Exceptional
97.9%
6th Grade
Excellent
97.3%
Exceptional
97.7%
7th Grade
Excellent
96.3%
Exceptional
97.0%
8th Grade
Exceptional
96.1%
Exceptional
96.6%
9th Grade
Exceptional
95.4%
Exceptional
95.6%
10th Grade
Exceptional
94.5%
Exceptional
94.3%
11th Grade
Exceptional
93.6%
Good
92.7%
12th Grade, No Diploma
Exceptional
92.6%
Fair
91.0%
High School Diploma
Exceptional
90.8%
Average
89.1%
GED/Equivalency
Exceptional
88.3%
Tragic
84.7%
College, Under 1 year
Exceptional
71.9%
Tragic
61.0%
College, 1 year or more
Exceptional
66.7%
Tragic
54.4%
Associate's Degree
Exceptional
54.6%
Tragic
40.8%
Bachelor's Degree
Exceptional
46.9%
Tragic
31.9%
Master's Degree
Exceptional
19.7%
Tragic
12.3%
Professional Degree
Exceptional
6.1%
Tragic
3.6%
Doctorate Degree
Exceptional
2.6%
Tragic
1.5%

Burmese vs American Disability

When considering disability, the most significant differences between Burmese and American communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 65.5%), disability age 35 to 64 (9.2% compared to 13.9%, a difference of 51.0%), and vision disability (1.8% compared to 2.6%, a difference of 43.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.2%, a difference of 3.0%), disability age over 75 (45.9% compared to 48.4%, a difference of 5.5%), and self-care disability (2.3% compared to 2.8%, a difference of 22.3%).
Burmese vs American Disability
Disability MetricBurmeseAmerican
Disability
Exceptional
10.4%
Tragic
13.9%
Males
Exceptional
10.0%
Tragic
13.8%
Females
Exceptional
10.7%
Tragic
14.1%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.9%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.5%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
8.0%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
13.9%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
25.8%
Age | Over 75 years
Exceptional
45.9%
Tragic
48.4%
Vision
Exceptional
1.8%
Tragic
2.6%
Hearing
Exceptional
2.8%
Tragic
3.9%
Cognitive
Exceptional
16.7%
Good
17.2%
Ambulatory
Exceptional
5.3%
Tragic
7.4%
Self-Care
Exceptional
2.3%
Tragic
2.8%