Bangladeshi vs Burmese Community Comparison

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

Social Comparison

Bangladeshis

Burmese

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

Burmese Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 136,676,190 people shows a strong positive correlation between the proportion of Burmese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.734. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.322% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 322.1 Burmese.
Bangladeshi Integration in Burmese Communities

Bangladeshi vs Burmese Income

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

Bangladeshi vs Burmese Poverty

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

Bangladeshi vs Burmese Unemployment

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

Bangladeshi vs Burmese Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.5%, a difference of 23.1%), in labor force | age 20-24 (78.1% compared to 73.6%, a difference of 6.2%), and in labor force | age 45-54 (81.3% compared to 83.6%, 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 (65.9% compared to 66.2%, a difference of 0.38%), and in labor force | age 35-44 (84.1% compared to 84.7%, a difference of 0.69%).
Bangladeshi vs Burmese Labor Participation
Labor Participation MetricBangladeshiBurmese
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
66.2%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
78.1%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.3%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
84.7%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
83.6%

Bangladeshi vs Burmese Family Structure

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

Bangladeshi vs Burmese Vehicle Availability

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

Bangladeshi vs Burmese Education Level

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

Bangladeshi vs Burmese Disability

When considering disability, the most significant differences between Bangladeshi and Burmese communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.2%, a difference of 47.9%), disability age 65 to 74 (26.8% compared to 20.6%, a difference of 30.1%), and vision disability (2.3% compared to 1.8%, a difference of 27.0%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 45.9%, a difference of 7.6%), cognitive disability (18.6% compared to 16.7%, a difference of 11.7%), and hearing disability (3.2% compared to 2.8%, a difference of 13.1%).
Bangladeshi vs Burmese Disability
Disability MetricBangladeshiBurmese
Disability
Tragic
12.6%
Exceptional
10.4%
Males
Tragic
12.0%
Exceptional
10.0%
Females
Tragic
13.1%
Exceptional
10.7%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.4%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
9.2%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
20.6%
Age | Over 75 years
Tragic
49.4%
Exceptional
45.9%
Vision
Tragic
2.3%
Exceptional
1.8%
Hearing
Tragic
3.2%
Exceptional
2.8%
Cognitive
Tragic
18.6%
Exceptional
16.7%
Ambulatory
Poor
6.3%
Exceptional
5.3%
Self-Care
Tragic
2.8%
Exceptional
2.3%