Chinese vs Bangladeshi Community Comparison

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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
Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta 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 LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Chinese

Bangladeshis

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

Bangladeshi Integration in Chinese Communities

The statistical analysis conducted on geographies consisting of 46,591,354 people shows a mild negative correlation between the proportion of Bangladeshis within Chinese communities in the United States with a correlation coefficient (R) of -0.373. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.145% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 145.0 Bangladeshis.
Chinese Integration in Bangladeshi Communities

Chinese vs Bangladeshi Income

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

Chinese vs Bangladeshi Poverty

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

Chinese vs Bangladeshi Unemployment

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

Chinese vs Bangladeshi Labor Participation

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

Chinese vs Bangladeshi Family Structure

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

Chinese vs Bangladeshi Vehicle Availability

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

Chinese vs Bangladeshi Education Level

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

Chinese vs Bangladeshi Disability

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