Burmese vs English Community Comparison

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

English

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
6,730
SOCIAL INDEX
64.8/ 100
SOCIAL RATING
146th/ 347
SOCIAL RANK

English Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 464,917,924 people shows a poor negative correlation between the proportion of English within Burmese communities in the United States with a correlation coefficient (R) of -0.137. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.048% in English. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 48.4 English.
Burmese Integration in English Communities

Burmese vs English Income

When considering income, the most significant differences between Burmese and English communities in the United States are seen in median household income ($103,145 compared to $84,915, a difference of 21.5%), householder income ages 25 - 44 years ($113,701 compared to $94,429, a difference of 20.4%), and householder income ages 45 - 64 years ($121,444 compared to $102,021, a difference of 19.0%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 29.5%, a difference of 5.2%), householder income under 25 years ($54,800 compared to $50,805, a difference of 7.9%), and householder income over 65 years ($71,139 compared to $61,487, a difference of 15.7%).
Burmese vs English Income
Income MetricBurmeseEnglish
Per Capita Income
Exceptional
$52,005
Average
$43,982
Median Family Income
Exceptional
$123,369
Good
$103,684
Median Household Income
Exceptional
$103,145
Average
$84,915
Median Earnings
Exceptional
$54,559
Average
$46,334
Median Male Earnings
Exceptional
$65,236
Good
$55,747
Median Female Earnings
Exceptional
$44,911
Tragic
$38,196
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$50,805
Householder Age | 25 - 44 years
Exceptional
$113,701
Average
$94,429
Householder Age | 45 - 64 years
Exceptional
$121,444
Good
$102,021
Householder Age | Over 65 years
Exceptional
$71,139
Good
$61,487
Wage/Income Gap
Tragic
28.0%
Tragic
29.5%

Burmese vs English Poverty

When considering poverty, the most significant differences between Burmese and English communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 16.8%, a difference of 27.4%), female poverty among 25-34 year olds (11.2% compared to 13.9%, a difference of 24.5%), and single male poverty (11.7% compared to 14.1%, a difference of 19.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.2%, a difference of 2.3%), male poverty (9.7% compared to 10.3%, a difference of 6.2%), and poverty (10.7% compared to 11.3%, a difference of 6.4%).
Burmese vs English Poverty
Poverty MetricBurmeseEnglish
Poverty
Exceptional
10.7%
Exceptional
11.3%
Families
Exceptional
7.3%
Exceptional
7.9%
Males
Exceptional
9.7%
Exceptional
10.3%
Females
Exceptional
11.6%
Exceptional
12.4%
Females 18 to 24 years
Exceptional
18.9%
Poor
20.5%
Females 25 to 34 years
Exceptional
11.2%
Fair
13.9%
Children Under 5 years
Exceptional
13.2%
Good
16.8%
Children Under 16 years
Exceptional
12.8%
Exceptional
14.9%
Boys Under 16 years
Exceptional
13.0%
Exceptional
15.1%
Girls Under 16 years
Exceptional
13.0%
Exceptional
15.3%
Single Males
Exceptional
11.7%
Tragic
14.1%
Single Females
Exceptional
18.3%
Tragic
21.9%
Single Fathers
Exceptional
15.5%
Tragic
17.8%
Single Mothers
Exceptional
26.2%
Tragic
30.2%
Married Couples
Exceptional
4.3%
Exceptional
4.2%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.1%
Seniors Over 75 years
Excellent
11.7%
Exceptional
10.4%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
9.8%

Burmese vs English Unemployment

When considering unemployment, the most significant differences between Burmese and English communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 10.1%, a difference of 23.2%), unemployment among women with children under 6 years (6.5% compared to 8.0%, a difference of 23.0%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.4%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.44%), unemployment among women with children under 18 years (4.9% compared to 5.0%, a difference of 0.81%), and unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.87%).
Burmese vs English Unemployment
Unemployment MetricBurmeseEnglish
Unemployment
Exceptional
4.9%
Exceptional
4.6%
Males
Exceptional
4.9%
Exceptional
4.8%
Females
Exceptional
5.0%
Exceptional
4.6%
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
9.8%
Age | 25 to 29 years
Exceptional
6.2%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Average
5.4%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.4%
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
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.9%
Seniors > 75
Exceptional
8.2%
Tragic
10.1%
Women w/ Children < 6
Exceptional
6.5%
Tragic
8.0%
Women w/ Children 6 to 17
Exceptional
8.0%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.0%

Burmese vs English Labor Participation

When considering labor participation, the most significant differences between Burmese and English communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 42.4%, a difference of 22.9%), in labor force | age 20-24 (73.6% compared to 77.6%, a difference of 5.4%), and in labor force | age > 16 (66.2% compared to 63.7%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.5%, a difference of 0.78%), in labor force | age 35-44 (84.7% compared to 83.8%, a difference of 1.0%), and in labor force | age 30-34 (85.3% compared to 84.0%, a difference of 1.4%).
Burmese vs English Labor Participation
Labor Participation MetricBurmeseEnglish
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
63.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
78.8%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
42.4%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.6%
In Labor Force | Age 25-29
Exceptional
85.1%
Fair
84.5%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
84.0%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
82.2%

Burmese vs English Family Structure

When considering family structure, the most significant differences between Burmese and English communities in the United States are seen in births to unmarried women (26.4% compared to 31.7%, a difference of 20.4%), divorced or separated (10.7% compared to 12.6%, a difference of 17.8%), and single father households (2.0% compared to 2.3%, a difference of 13.3%). Conversely, both communities are more comparable in terms of married-couple households (49.8% compared to 49.6%, a difference of 0.33%), family households (65.7% compared to 65.1%, a difference of 1.0%), and currently married (48.9% compared to 49.7%, a difference of 1.6%).
Burmese vs English Family Structure
Family Structure MetricBurmeseEnglish
Family Households
Exceptional
65.7%
Exceptional
65.1%
Family Households with Children
Exceptional
28.5%
Fair
27.3%
Married-couple Households
Exceptional
49.8%
Exceptional
49.6%
Average Family Size
Fair
3.22
Tragic
3.11
Single Father Households
Exceptional
2.0%
Good
2.3%
Single Mother Households
Exceptional
5.3%
Exceptional
5.8%
Currently Married
Exceptional
48.9%
Exceptional
49.7%
Divorced or Separated
Exceptional
10.7%
Tragic
12.6%
Births to Unmarried Women
Exceptional
26.4%
Average
31.7%

Burmese vs English Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and English communities in the United States are seen in no vehicles in household (9.7% compared to 6.5%, a difference of 48.7%), 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 11.8%), and 3 or more vehicles in household (20.6% compared to 23.1%, a difference of 11.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 93.8%, a difference of 3.7%), 2 or more vehicles in household (57.8% compared to 61.9%, a difference of 7.1%), and 3 or more vehicles in household (20.6% compared to 23.1%, a difference of 11.6%).
Burmese vs English Vehicle Availability
Vehicle Availability MetricBurmeseEnglish
No Vehicles Available
Excellent
9.7%
Exceptional
6.5%
1+ Vehicles Available
Excellent
90.4%
Exceptional
93.8%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
61.9%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
23.1%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.6%

Burmese vs English Education Level

When considering education level, the most significant differences between Burmese and English communities in the United States are seen in no schooling completed (1.9% compared to 1.4%, a difference of 40.7%), professional degree (6.1% compared to 4.4%, a difference of 39.4%), and doctorate degree (2.6% compared to 1.9%, a difference of 37.6%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.6% compared to 93.0%, a difference of 0.42%), nursery school (98.1% compared to 98.7%, a difference of 0.61%), and kindergarten (98.1% compared to 98.7%, a difference of 0.62%).
Burmese vs English Education Level
Education Level MetricBurmeseEnglish
No Schooling Completed
Excellent
1.9%
Exceptional
1.4%
Nursery School
Excellent
98.1%
Exceptional
98.7%
Kindergarten
Excellent
98.1%
Exceptional
98.7%
1st Grade
Excellent
98.0%
Exceptional
98.6%
2nd Grade
Excellent
98.0%
Exceptional
98.6%
3rd Grade
Good
97.9%
Exceptional
98.6%
4th Grade
Excellent
97.7%
Exceptional
98.4%
5th Grade
Excellent
97.5%
Exceptional
98.3%
6th Grade
Excellent
97.3%
Exceptional
98.1%
7th Grade
Excellent
96.3%
Exceptional
97.6%
8th Grade
Exceptional
96.1%
Exceptional
97.3%
9th Grade
Exceptional
95.4%
Exceptional
96.6%
10th Grade
Exceptional
94.5%
Exceptional
95.6%
11th Grade
Exceptional
93.6%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
93.0%
High School Diploma
Exceptional
90.8%
Exceptional
91.4%
GED/Equivalency
Exceptional
88.3%
Exceptional
87.6%
College, Under 1 year
Exceptional
71.9%
Excellent
66.6%
College, 1 year or more
Exceptional
66.7%
Good
60.0%
Associate's Degree
Exceptional
54.6%
Average
46.4%
Bachelor's Degree
Exceptional
46.9%
Fair
37.4%
Master's Degree
Exceptional
19.7%
Average
14.8%
Professional Degree
Exceptional
6.1%
Average
4.4%
Doctorate Degree
Exceptional
2.6%
Good
1.9%

Burmese vs English Disability

When considering disability, the most significant differences between Burmese and English communities in the United States are seen in disability age under 5 (1.1% compared to 1.7%, a difference of 48.8%), disability age 35 to 64 (9.2% compared to 12.4%, a difference of 34.9%), and hearing disability (2.8% compared to 3.8%, a difference of 34.8%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.8%, a difference of 0.56%), disability age over 75 (45.9% compared to 46.8%, a difference of 1.9%), and self-care disability (2.3% compared to 2.5%, a difference of 9.4%).
Burmese vs English Disability
Disability MetricBurmeseEnglish
Disability
Exceptional
10.4%
Tragic
13.0%
Males
Exceptional
10.0%
Tragic
12.8%
Females
Exceptional
10.7%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
6.2%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.8%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
12.4%
Age | 65 to 74 years
Exceptional
20.6%
Fair
23.6%
Age | Over 75 years
Exceptional
45.9%
Excellent
46.8%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Tragic
3.8%
Cognitive
Exceptional
16.7%
Exceptional
16.8%
Ambulatory
Exceptional
5.3%
Tragic
6.6%
Self-Care
Exceptional
2.3%
Average
2.5%