American vs Burmese Community Comparison

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

Social Comparison

Americans

Burmese

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

Burmese Integration in American Communities

The statistical analysis conducted on geographies consisting of 464,976,722 people shows a poor negative correlation between the proportion of Burmese within American communities in the United States with a correlation coefficient (R) of -0.167. On average, for every 1% (one percent) increase in Americans within a typical geography, there is a decrease of 0.003% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Americans corresponds to a decrease of 3.4 Burmese.
American Integration in Burmese Communities

American vs Burmese Income

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

American vs Burmese Poverty

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

American vs Burmese Unemployment

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

American vs Burmese Labor Participation

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

American vs Burmese Family Structure

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

American vs Burmese Vehicle Availability

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

American vs Burmese Education Level

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

American vs Burmese Disability

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