Burmese vs European Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianFijianFilipinoFinnishFrenchFrench 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
European
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

Europeans

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,117
SOCIAL INDEX
78.6/ 100
SOCIAL RATING
87th/ 347
SOCIAL RANK

European Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 460,992,062 people shows a weak negative correlation between the proportion of Europeans within Burmese communities in the United States with a correlation coefficient (R) of -0.227. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.023% in Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 22.8 Europeans.
Burmese Integration in European Communities

Burmese vs European Income

When considering income, the most significant differences between Burmese and European communities in the United States are seen in median household income ($103,145 compared to $88,751, a difference of 16.2%), householder income ages 25 - 44 years ($113,701 compared to $98,310, a difference of 15.7%), and householder income ages 45 - 64 years ($121,444 compared to $106,367, a difference of 14.2%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 29.4%, a difference of 4.9%), householder income under 25 years ($54,800 compared to $51,796, a difference of 5.8%), and householder income over 65 years ($71,139 compared to $63,779, a difference of 11.5%).
Burmese vs European Income
Income MetricBurmeseEuropean
Per Capita Income
Exceptional
$52,005
Exceptional
$45,836
Median Family Income
Exceptional
$123,369
Exceptional
$108,099
Median Household Income
Exceptional
$103,145
Exceptional
$88,751
Median Earnings
Exceptional
$54,559
Excellent
$47,915
Median Male Earnings
Exceptional
$65,236
Exceptional
$57,637
Median Female Earnings
Exceptional
$44,911
Fair
$39,457
Householder Age | Under 25 years
Exceptional
$54,800
Fair
$51,796
Householder Age | 25 - 44 years
Exceptional
$113,701
Excellent
$98,310
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$106,367
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$63,779
Wage/Income Gap
Tragic
28.0%
Tragic
29.4%

Burmese vs European Poverty

When considering poverty, the most significant differences between Burmese and European communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 15.9%, a difference of 20.1%), female poverty among 25-34 year olds (11.2% compared to 13.2%, a difference of 18.1%), and single female poverty (18.3% compared to 21.1%, a difference of 15.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.2%, a difference of 2.3%), poverty (10.7% compared to 11.3%, a difference of 5.5%), and family poverty (7.3% compared to 7.7%, a difference of 5.6%).
Burmese vs European Poverty
Poverty MetricBurmeseEuropean
Poverty
Exceptional
10.7%
Exceptional
11.3%
Families
Exceptional
7.3%
Exceptional
7.7%
Males
Exceptional
9.7%
Exceptional
10.2%
Females
Exceptional
11.6%
Exceptional
12.3%
Females 18 to 24 years
Exceptional
18.9%
Poor
20.4%
Females 25 to 34 years
Exceptional
11.2%
Good
13.2%
Children Under 5 years
Exceptional
13.2%
Exceptional
15.9%
Children Under 16 years
Exceptional
12.8%
Exceptional
14.3%
Boys Under 16 years
Exceptional
13.0%
Exceptional
14.5%
Girls Under 16 years
Exceptional
13.0%
Exceptional
14.6%
Single Males
Exceptional
11.7%
Tragic
13.3%
Single Females
Exceptional
18.3%
Average
21.1%
Single Fathers
Exceptional
15.5%
Poor
16.6%
Single Mothers
Exceptional
26.2%
Average
29.1%
Married Couples
Exceptional
4.3%
Exceptional
4.2%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.2%
Seniors Over 75 years
Excellent
11.7%
Exceptional
10.5%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
9.5%

Burmese vs European Unemployment

When considering unemployment, the most significant differences between Burmese and European communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 9.7%, a difference of 18.2%), unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 15.4%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 8.7%, a difference of 9.9%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.54%), unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.71%), and unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.96%).
Burmese vs European Unemployment
Unemployment MetricBurmeseEuropean
Unemployment
Exceptional
4.9%
Exceptional
4.6%
Males
Exceptional
4.9%
Exceptional
4.8%
Females
Exceptional
5.0%
Exceptional
4.7%
Youth < 25
Excellent
11.3%
Exceptional
10.8%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.1%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.7%
Age | 25 to 29 years
Exceptional
6.2%
Excellent
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.1%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.5%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.5%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.1%
Seniors > 65
Exceptional
5.0%
Exceptional
4.9%
Seniors > 75
Exceptional
8.2%
Tragic
9.7%
Women w/ Children < 6
Exceptional
6.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.7%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Burmese vs European Labor Participation

When considering labor participation, the most significant differences between Burmese and European communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 41.1%, a difference of 19.3%), in labor force | age 20-24 (73.6% compared to 77.1%, a difference of 4.8%), and in labor force | age > 16 (66.2% compared to 64.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.6%, a difference of 0.65%), in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.71%), and in labor force | age 30-34 (85.3% compared to 84.3%, a difference of 1.1%).
Burmese vs European Labor Participation
Labor Participation MetricBurmeseEuropean
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
41.1%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.1%
In Labor Force | Age 25-29
Exceptional
85.1%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
83.6%
Fair
82.6%

Burmese vs European Family Structure

When considering family structure, the most significant differences between Burmese and European communities in the United States are seen in births to unmarried women (26.4% compared to 30.2%, a difference of 14.7%), divorced or separated (10.7% compared to 12.2%, a difference of 14.2%), and single father households (2.0% compared to 2.3%, a difference of 11.9%). Conversely, both communities are more comparable in terms of married-couple households (49.8% compared to 49.6%, a difference of 0.50%), currently married (48.9% compared to 49.3%, a difference of 0.81%), and family households (65.7% compared to 65.0%, a difference of 1.1%).
Burmese vs European Family Structure
Family Structure MetricBurmeseEuropean
Family Households
Exceptional
65.7%
Exceptional
65.0%
Family Households with Children
Exceptional
28.5%
Exceptional
27.9%
Married-couple Households
Exceptional
49.8%
Exceptional
49.6%
Average Family Size
Fair
3.22
Tragic
3.14
Single Father Households
Exceptional
2.0%
Excellent
2.3%
Single Mother Households
Exceptional
5.3%
Exceptional
5.7%
Currently Married
Exceptional
48.9%
Exceptional
49.3%
Divorced or Separated
Exceptional
10.7%
Poor
12.2%
Births to Unmarried Women
Exceptional
26.4%
Excellent
30.2%

Burmese vs European Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and European communities in the United States are seen in no vehicles in household (9.7% compared to 7.1%, a difference of 36.0%), 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 11.2%), and 3 or more vehicles in household (20.6% compared to 22.9%, a difference of 10.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 93.0%, a difference of 2.9%), 2 or more vehicles in household (57.8% compared to 61.4%, a difference of 6.2%), and 3 or more vehicles in household (20.6% compared to 22.9%, a difference of 10.7%).
Burmese vs European Vehicle Availability
Vehicle Availability MetricBurmeseEuropean
No Vehicles Available
Excellent
9.7%
Exceptional
7.1%
1+ Vehicles Available
Excellent
90.4%
Exceptional
93.0%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
61.4%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
22.9%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.6%

Burmese vs European Education Level

When considering education level, the most significant differences between Burmese and European communities in the United States are seen in no schooling completed (1.9% compared to 1.5%, a difference of 31.9%), professional degree (6.1% compared to 4.8%, a difference of 27.3%), and doctorate degree (2.6% compared to 2.1%, a difference of 26.4%). Conversely, both communities are more comparable in terms of ged/equivalency (88.3% compared to 87.9%, a difference of 0.43%), 12th grade, no diploma (92.6% compared to 93.1%, a difference of 0.48%), and nursery school (98.1% compared to 98.6%, a difference of 0.51%).
Burmese vs European Education Level
Education Level MetricBurmeseEuropean
No Schooling Completed
Excellent
1.9%
Exceptional
1.5%
Nursery School
Excellent
98.1%
Exceptional
98.6%
Kindergarten
Excellent
98.1%
Exceptional
98.6%
1st Grade
Excellent
98.0%
Exceptional
98.5%
2nd Grade
Excellent
98.0%
Exceptional
98.5%
3rd Grade
Good
97.9%
Exceptional
98.4%
4th Grade
Excellent
97.7%
Exceptional
98.3%
5th Grade
Excellent
97.5%
Exceptional
98.2%
6th Grade
Excellent
97.3%
Exceptional
98.0%
7th Grade
Excellent
96.3%
Exceptional
97.3%
8th Grade
Exceptional
96.1%
Exceptional
97.1%
9th Grade
Exceptional
95.4%
Exceptional
96.4%
10th Grade
Exceptional
94.5%
Exceptional
95.5%
11th Grade
Exceptional
93.6%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
93.1%
High School Diploma
Exceptional
90.8%
Exceptional
91.4%
GED/Equivalency
Exceptional
88.3%
Exceptional
87.9%
College, Under 1 year
Exceptional
71.9%
Exceptional
68.2%
College, 1 year or more
Exceptional
66.7%
Exceptional
61.8%
Associate's Degree
Exceptional
54.6%
Excellent
48.2%
Bachelor's Degree
Exceptional
46.9%
Excellent
39.5%
Master's Degree
Exceptional
19.7%
Excellent
15.8%
Professional Degree
Exceptional
6.1%
Exceptional
4.8%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.1%

Burmese vs European Disability

When considering disability, the most significant differences between Burmese and European communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 35.5%), disability age 35 to 64 (9.2% compared to 11.7%, a difference of 26.9%), and hearing disability (2.8% compared to 3.5%, a difference of 25.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.0%, a difference of 1.7%), disability age over 75 (45.9% compared to 46.7%, a difference of 1.8%), and self-care disability (2.3% compared to 2.4%, a difference of 5.1%).
Burmese vs European Disability
Disability MetricBurmeseEuropean
Disability
Exceptional
10.4%
Tragic
12.3%
Males
Exceptional
10.0%
Tragic
12.1%
Females
Exceptional
10.7%
Poor
12.4%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
9.2%
Poor
11.7%
Age | 65 to 74 years
Exceptional
20.6%
Good
23.2%
Age | Over 75 years
Exceptional
45.9%
Exceptional
46.7%
Vision
Exceptional
1.8%
Fair
2.2%
Hearing
Exceptional
2.8%
Tragic
3.5%
Cognitive
Exceptional
16.7%
Exceptional
17.0%
Ambulatory
Exceptional
5.3%
Fair
6.2%
Self-Care
Exceptional
2.3%
Exceptional
2.4%