Bangladeshi vs Chinese Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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
Chinese
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

Chinese

Fair
Exceptional
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 46,591,354 people shows a moderate positive correlation between the proportion of Chinese within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.474. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.005% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 4.6 Chinese.
Bangladeshi Integration in Chinese Communities

Bangladeshi vs Chinese Income

When considering income, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in householder income over 65 years ($54,719 compared to $77,465, a difference of 41.6%), householder income ages 45 - 64 years ($86,402 compared to $116,156, a difference of 34.4%), and median household income ($74,112 compared to $98,496, a difference of 32.9%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $41,461, a difference of 15.3%), wage/income gap (22.2% compared to 25.9%, a difference of 16.9%), and median earnings ($41,263 compared to $48,836, a difference of 18.3%).
Bangladeshi vs Chinese Income
Income MetricBangladeshiChinese
Per Capita Income
Tragic
$35,897
Exceptional
$46,098
Median Family Income
Tragic
$88,358
Exceptional
$116,188
Median Household Income
Tragic
$74,112
Exceptional
$98,496
Median Earnings
Tragic
$41,263
Exceptional
$48,836
Median Male Earnings
Tragic
$46,744
Exceptional
$56,872
Median Female Earnings
Tragic
$35,960
Exceptional
$41,461
Householder Age | Under 25 years
Tragic
$47,589
Exceptional
$58,162
Householder Age | 25 - 44 years
Tragic
$81,363
Exceptional
$104,264
Householder Age | 45 - 64 years
Tragic
$86,402
Exceptional
$116,156
Householder Age | Over 65 years
Tragic
$54,719
Exceptional
$77,465
Wage/Income Gap
Exceptional
22.2%
Average
25.9%

Bangladeshi vs Chinese Poverty

When considering poverty, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in child poverty among boys under 16 (20.0% compared to 11.9%, a difference of 68.8%), family poverty (10.9% compared to 6.5%, a difference of 67.4%), and child poverty under the age of 16 (19.9% compared to 11.9%, a difference of 66.9%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.4%), single male poverty (13.3% compared to 11.0%, a difference of 21.5%), and single mother poverty (31.7% compared to 24.6%, a difference of 28.8%).
Bangladeshi vs Chinese Poverty
Poverty MetricBangladeshiChinese
Poverty
Tragic
14.8%
Exceptional
9.5%
Families
Tragic
10.9%
Exceptional
6.5%
Males
Tragic
13.6%
Exceptional
8.7%
Females
Tragic
16.0%
Exceptional
10.4%
Females 18 to 24 years
Tragic
22.5%
Exceptional
16.2%
Females 25 to 34 years
Tragic
15.9%
Exceptional
11.0%
Children Under 5 years
Tragic
20.6%
Exceptional
13.1%
Children Under 16 years
Tragic
19.9%
Exceptional
11.9%
Boys Under 16 years
Tragic
20.0%
Exceptional
11.9%
Girls Under 16 years
Tragic
20.0%
Exceptional
12.3%
Single Males
Tragic
13.3%
Exceptional
11.0%
Single Females
Tragic
24.2%
Exceptional
16.1%
Single Fathers
Exceptional
15.2%
Exceptional
15.4%
Single Mothers
Tragic
31.7%
Exceptional
24.6%
Married Couples
Tragic
6.0%
Exceptional
3.6%
Seniors Over 65 years
Fair
11.2%
Exceptional
8.3%
Seniors Over 75 years
Good
12.0%
Exceptional
9.1%
Receiving Food Stamps
Tragic
15.0%
Exceptional
9.8%

Bangladeshi vs Chinese Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.6% compared to 5.9%, a difference of 62.5%), unemployment among women with children ages 6 to 17 years (7.4% compared to 9.3%, a difference of 25.8%), and unemployment among seniors over 65 years (5.2% compared to 4.2%, a difference of 23.4%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.3% compared to 5.1%, a difference of 4.7%), unemployment among ages 16 to 19 years (16.9% compared to 16.0%, a difference of 5.5%), and unemployment among ages 20 to 24 years (10.0% compared to 9.4%, a difference of 6.5%).
Bangladeshi vs Chinese Unemployment
Unemployment MetricBangladeshiChinese
Unemployment
Poor
5.4%
Exceptional
4.7%
Males
Tragic
5.7%
Exceptional
4.9%
Females
Good
5.2%
Exceptional
4.5%
Youth < 25
Average
11.6%
Exceptional
10.7%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.0%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.4%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.1%
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
4.0%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.4%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.0%
Age | 65 to 74 years
Good
5.3%
Exceptional
4.4%
Seniors > 65
Fair
5.2%
Exceptional
4.2%
Seniors > 75
Tragic
9.6%
Exceptional
5.9%
Women w/ Children < 6
Good
7.5%
Exceptional
6.8%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
9.3%
Women w/ Children < 18
Good
5.3%
Exceptional
4.9%

Bangladeshi vs Chinese Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 38.6%, a difference of 10.0%), in labor force | age 45-54 (81.3% compared to 84.1%, a difference of 3.5%), and in labor force | age > 16 (65.9% compared to 64.7%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 85.0%, a difference of 0.78%), in labor force | age 25-29 (85.1% compared to 84.3%, a difference of 0.86%), and in labor force | age 20-24 (78.1% compared to 77.3%, a difference of 1.1%).
Bangladeshi vs Chinese Labor Participation
Labor Participation MetricBangladeshiChinese
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
64.7%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
38.6%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
77.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Poor
84.3%
In Labor Force | Age 30-34
Tragic
84.3%
Excellent
85.0%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
85.1%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
84.1%

Bangladeshi vs Chinese Family Structure

When considering family structure, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in single mother households (8.1% compared to 5.2%, a difference of 57.7%), single father households (3.1% compared to 2.0%, a difference of 55.7%), and family households with children (30.1% compared to 26.0%, a difference of 15.7%). Conversely, both communities are more comparable in terms of average family size (3.37 compared to 3.34, a difference of 0.83%), family households (64.3% compared to 68.1%, a difference of 6.0%), and divorced or separated (12.3% compared to 11.2%, a difference of 9.8%).
Bangladeshi vs Chinese Family Structure
Family Structure MetricBangladeshiChinese
Family Households
Average
64.3%
Exceptional
68.1%
Family Households with Children
Exceptional
30.1%
Tragic
26.0%
Married-couple Households
Tragic
43.5%
Exceptional
50.4%
Average Family Size
Exceptional
3.37
Exceptional
3.34
Single Father Households
Tragic
3.1%
Exceptional
2.0%
Single Mother Households
Tragic
8.1%
Exceptional
5.2%
Currently Married
Tragic
43.7%
Exceptional
49.5%
Divorced or Separated
Poor
12.3%
Exceptional
11.2%
Births to Unmarried Women
Tragic
34.4%
Excellent
30.2%

Bangladeshi vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 8.8%, a difference of 17.2%), 3 or more vehicles in household (21.9% compared to 23.9%, a difference of 9.2%), and no vehicles in household (8.7% compared to 8.2%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.9%, a difference of 0.52%), 2 or more vehicles in household (58.4% compared to 60.1%, a difference of 2.9%), and no vehicles in household (8.7% compared to 8.2%, a difference of 5.4%).
Bangladeshi vs Chinese Vehicle Availability
Vehicle Availability MetricBangladeshiChinese
No Vehicles Available
Exceptional
8.7%
Exceptional
8.2%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
91.9%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
60.1%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
23.9%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
8.8%

Bangladeshi vs Chinese Education Level

When considering education level, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in no schooling completed (3.5% compared to 1.5%, a difference of 140.4%), doctorate degree (1.2% compared to 1.8%, a difference of 45.7%), and professional degree (3.1% compared to 4.5%, a difference of 44.4%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.6%, a difference of 2.1%), kindergarten (96.6% compared to 98.5%, a difference of 2.1%), and 1st grade (96.5% compared to 98.5%, a difference of 2.1%).
Bangladeshi vs Chinese Education Level
Education Level MetricBangladeshiChinese
No Schooling Completed
Tragic
3.5%
Exceptional
1.5%
Nursery School
Tragic
96.6%
Exceptional
98.6%
Kindergarten
Tragic
96.6%
Exceptional
98.5%
1st Grade
Tragic
96.5%
Exceptional
98.5%
2nd Grade
Tragic
96.5%
Exceptional
98.5%
3rd Grade
Tragic
96.3%
Exceptional
98.4%
4th Grade
Tragic
96.1%
Exceptional
98.3%
5th Grade
Tragic
95.9%
Exceptional
98.1%
6th Grade
Tragic
95.7%
Exceptional
97.9%
7th Grade
Tragic
94.5%
Exceptional
97.1%
8th Grade
Tragic
94.3%
Exceptional
96.9%
9th Grade
Tragic
93.4%
Exceptional
96.3%
10th Grade
Tragic
92.2%
Exceptional
95.5%
11th Grade
Tragic
90.9%
Exceptional
94.6%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
93.6%
High School Diploma
Tragic
86.9%
Exceptional
92.0%
GED/Equivalency
Tragic
83.1%
Exceptional
89.0%
College, Under 1 year
Tragic
61.4%
Exceptional
68.3%
College, 1 year or more
Tragic
54.5%
Exceptional
62.2%
Associate's Degree
Tragic
40.0%
Exceptional
48.5%
Bachelor's Degree
Tragic
30.2%
Good
38.5%
Master's Degree
Tragic
10.5%
Fair
14.6%
Professional Degree
Tragic
3.1%
Average
4.5%
Doctorate Degree
Tragic
1.2%
Fair
1.8%

Bangladeshi vs Chinese Disability

When considering disability, the most significant differences between Bangladeshi and Chinese communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.3%, a difference of 32.4%), disability age 5 to 17 (5.8% compared to 4.7%, a difference of 23.7%), and disability age 65 to 74 (26.8% compared to 21.7%, a difference of 23.7%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 12.1%, a difference of 0.28%), disability age over 75 (49.4% compared to 48.7%, a difference of 1.4%), and disability (12.6% compared to 12.2%, a difference of 2.9%).
Bangladeshi vs Chinese Disability
Disability MetricBangladeshiChinese
Disability
Tragic
12.6%
Tragic
12.2%
Males
Tragic
12.0%
Tragic
12.1%
Females
Tragic
13.1%
Fair
12.3%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
4.7%
Age | 18 to 34 years
Tragic
7.4%
Exceptional
6.3%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
10.3%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
21.7%
Age | Over 75 years
Tragic
49.4%
Tragic
48.7%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Tragic
18.6%
Exceptional
15.9%
Ambulatory
Poor
6.3%
Tragic
6.5%
Self-Care
Tragic
2.8%
Tragic
2.6%