Burmese vs Bangladeshi Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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
Bangladeshi
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

Bangladeshis

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 136,676,079 people shows a moderate negative correlation between the proportion of Bangladeshis within Burmese communities in the United States with a correlation coefficient (R) of -0.421. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.015% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 15.2 Bangladeshis.
Burmese Integration in Bangladeshi Communities

Burmese vs Bangladeshi Income

When considering income, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in per capita income ($52,005 compared to $35,897, a difference of 44.9%), householder income ages 45 - 64 years ($121,444 compared to $86,402, a difference of 40.6%), and householder income ages 25 - 44 years ($113,701 compared to $81,363, a difference of 39.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $47,589, a difference of 15.1%), median female earnings ($44,911 compared to $35,960, a difference of 24.9%), and wage/income gap (28.0% compared to 22.2%, a difference of 26.4%).
Burmese vs Bangladeshi Income
Income MetricBurmeseBangladeshi
Per Capita Income
Exceptional
$52,005
Tragic
$35,897
Median Family Income
Exceptional
$123,369
Tragic
$88,358
Median Household Income
Exceptional
$103,145
Tragic
$74,112
Median Earnings
Exceptional
$54,559
Tragic
$41,263
Median Male Earnings
Exceptional
$65,236
Tragic
$46,744
Median Female Earnings
Exceptional
$44,911
Tragic
$35,960
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$47,589
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$54,719
Wage/Income Gap
Tragic
28.0%
Exceptional
22.2%

Burmese vs Bangladeshi Poverty

When considering poverty, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in receiving food stamps (8.6% compared to 15.0%, a difference of 73.9%), child poverty under the age of 5 (13.2% compared to 20.6%, a difference of 55.9%), and child poverty under the age of 16 (12.8% compared to 19.9%, a difference of 55.4%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 15.2%, a difference of 1.8%), seniors poverty over the age of 75 (11.7% compared to 12.0%, a difference of 2.5%), and seniors poverty over the age of 65 (10.1% compared to 11.2%, a difference of 11.2%).
Burmese vs Bangladeshi Poverty
Poverty MetricBurmeseBangladeshi
Poverty
Exceptional
10.7%
Tragic
14.8%
Families
Exceptional
7.3%
Tragic
10.9%
Males
Exceptional
9.7%
Tragic
13.6%
Females
Exceptional
11.6%
Tragic
16.0%
Females 18 to 24 years
Exceptional
18.9%
Tragic
22.5%
Females 25 to 34 years
Exceptional
11.2%
Tragic
15.9%
Children Under 5 years
Exceptional
13.2%
Tragic
20.6%
Children Under 16 years
Exceptional
12.8%
Tragic
19.9%
Boys Under 16 years
Exceptional
13.0%
Tragic
20.0%
Girls Under 16 years
Exceptional
13.0%
Tragic
20.0%
Single Males
Exceptional
11.7%
Tragic
13.3%
Single Females
Exceptional
18.3%
Tragic
24.2%
Single Fathers
Exceptional
15.5%
Exceptional
15.2%
Single Mothers
Exceptional
26.2%
Tragic
31.7%
Married Couples
Exceptional
4.3%
Tragic
6.0%
Seniors Over 65 years
Exceptional
10.1%
Fair
11.2%
Seniors Over 75 years
Excellent
11.7%
Good
12.0%
Receiving Food Stamps
Exceptional
8.6%
Tragic
15.0%

Burmese vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 9.6%, a difference of 17.5%), unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 15.8%), and male unemployment (4.9% compared to 5.7%, a difference of 15.5%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.0% compared to 16.9%, a difference of 0.23%), unemployment among ages 20 to 24 years (10.2% compared to 10.0%, a difference of 1.8%), and unemployment among youth under 25 years (11.3% compared to 11.6%, a difference of 2.1%).
Burmese vs Bangladeshi Unemployment
Unemployment MetricBurmeseBangladeshi
Unemployment
Exceptional
4.9%
Poor
5.4%
Males
Exceptional
4.9%
Tragic
5.7%
Females
Exceptional
5.0%
Good
5.2%
Youth < 25
Excellent
11.3%
Average
11.6%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.9%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.2%
Average
6.6%
Age | 30 to 34 years
Exceptional
5.1%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.3%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.2%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Exceptional
5.0%
Fair
5.2%
Seniors > 75
Exceptional
8.2%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.9%
Good
5.3%

Burmese vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 42.5%, a difference of 23.1%), in labor force | age 20-24 (73.6% compared to 78.1%, a difference of 6.2%), and in labor force | age 45-54 (83.6% compared to 81.3%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.070%), in labor force | age > 16 (66.2% compared to 65.9%, a difference of 0.38%), and in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.69%).
Burmese vs Bangladeshi Labor Participation
Labor Participation MetricBurmeseBangladeshi
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
42.5%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.1%
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%
Tragic
81.3%

Burmese vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in single mother households (5.3% compared to 8.1%, a difference of 53.9%), single father households (2.0% compared to 3.1%, a difference of 51.1%), and births to unmarried women (26.4% compared to 34.4%, a difference of 30.5%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 64.3%, a difference of 2.3%), average family size (3.22 compared to 3.37, a difference of 4.7%), and family households with children (28.5% compared to 30.1%, a difference of 5.6%).
Burmese vs Bangladeshi Family Structure
Family Structure MetricBurmeseBangladeshi
Family Households
Exceptional
65.7%
Average
64.3%
Family Households with Children
Exceptional
28.5%
Exceptional
30.1%
Married-couple Households
Exceptional
49.8%
Tragic
43.5%
Average Family Size
Fair
3.22
Exceptional
3.37
Single Father Households
Exceptional
2.0%
Tragic
3.1%
Single Mother Households
Exceptional
5.3%
Tragic
8.1%
Currently Married
Exceptional
48.9%
Tragic
43.7%
Divorced or Separated
Exceptional
10.7%
Poor
12.3%
Births to Unmarried Women
Exceptional
26.4%
Tragic
34.4%

Burmese vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in no vehicles in household (9.7% compared to 8.7%, a difference of 11.7%), 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 10.7%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.4%, a difference of 1.1%), 2 or more vehicles in household (57.8% compared to 58.4%, a difference of 1.1%), and 3 or more vehicles in household (20.6% compared to 21.9%, a difference of 5.9%).
Burmese vs Bangladeshi Vehicle Availability
Vehicle Availability MetricBurmeseBangladeshi
No Vehicles Available
Excellent
9.7%
Exceptional
8.7%
1+ Vehicles Available
Excellent
90.4%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.6%

Burmese vs Bangladeshi Education Level

When considering education level, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in doctorate degree (2.6% compared to 1.2%, a difference of 117.6%), professional degree (6.1% compared to 3.1%, a difference of 98.9%), and master's degree (19.7% compared to 10.5%, a difference of 88.0%). Conversely, both communities are more comparable in terms of kindergarten (98.1% compared to 96.6%, a difference of 1.5%), 1st grade (98.0% compared to 96.5%, a difference of 1.5%), and nursery school (98.1% compared to 96.6%, a difference of 1.6%).
Burmese vs Bangladeshi Education Level
Education Level MetricBurmeseBangladeshi
No Schooling Completed
Excellent
1.9%
Tragic
3.5%
Nursery School
Excellent
98.1%
Tragic
96.6%
Kindergarten
Excellent
98.1%
Tragic
96.6%
1st Grade
Excellent
98.0%
Tragic
96.5%
2nd Grade
Excellent
98.0%
Tragic
96.5%
3rd Grade
Good
97.9%
Tragic
96.3%
4th Grade
Excellent
97.7%
Tragic
96.1%
5th Grade
Excellent
97.5%
Tragic
95.9%
6th Grade
Excellent
97.3%
Tragic
95.7%
7th Grade
Excellent
96.3%
Tragic
94.5%
8th Grade
Exceptional
96.1%
Tragic
94.3%
9th Grade
Exceptional
95.4%
Tragic
93.4%
10th Grade
Exceptional
94.5%
Tragic
92.2%
11th Grade
Exceptional
93.6%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
89.3%
High School Diploma
Exceptional
90.8%
Tragic
86.9%
GED/Equivalency
Exceptional
88.3%
Tragic
83.1%
College, Under 1 year
Exceptional
71.9%
Tragic
61.4%
College, 1 year or more
Exceptional
66.7%
Tragic
54.5%
Associate's Degree
Exceptional
54.6%
Tragic
40.0%
Bachelor's Degree
Exceptional
46.9%
Tragic
30.2%
Master's Degree
Exceptional
19.7%
Tragic
10.5%
Professional Degree
Exceptional
6.1%
Tragic
3.1%
Doctorate Degree
Exceptional
2.6%
Tragic
1.2%

Burmese vs Bangladeshi Disability

When considering disability, the most significant differences between Burmese and Bangladeshi communities in the United States are seen in disability age 35 to 64 (9.2% compared to 13.6%, a difference of 47.9%), disability age 65 to 74 (20.6% compared to 26.8%, a difference of 30.1%), and vision disability (1.8% compared to 2.3%, a difference of 27.0%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 49.4%, a difference of 7.6%), cognitive disability (16.7% compared to 18.6%, a difference of 11.7%), and hearing disability (2.8% compared to 3.2%, a difference of 13.1%).
Burmese vs Bangladeshi Disability
Disability MetricBurmeseBangladeshi
Disability
Exceptional
10.4%
Tragic
12.6%
Males
Exceptional
10.0%
Tragic
12.0%
Females
Exceptional
10.7%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.1%
Poor
1.3%
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%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
26.8%
Age | Over 75 years
Exceptional
45.9%
Tragic
49.4%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Tragic
18.6%
Ambulatory
Exceptional
5.3%
Poor
6.3%
Self-Care
Exceptional
2.3%
Tragic
2.8%