Nonimmigrants vs Bangladeshi Community Comparison

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Nonimmigrants
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 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
ImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Nonimmigrants

Bangladeshis

Fair
Fair
3,083
SOCIAL INDEX
28.4/ 100
SOCIAL RATING
234th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Nonimmigrants Communities

The statistical analysis conducted on geographies consisting of 139,570,340 people shows a moderate positive correlation between the proportion of Bangladeshis within Nonimmigrant communities in the United States with a correlation coefficient (R) of 0.406. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is an increase of 0.009% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to an increase of 9.1 Bangladeshis.
Nonimmigrants Integration in Bangladeshi Communities

Nonimmigrants vs Bangladeshi Income

When considering income, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in wage/income gap (27.2% compared to 22.2%, a difference of 22.7%), per capita income ($40,669 compared to $35,897, a difference of 13.3%), and median male earnings ($52,170 compared to $46,744, a difference of 11.6%). Conversely, both communities are more comparable in terms of median female earnings ($37,024 compared to $35,960, a difference of 3.0%), householder income under 25 years ($49,348 compared to $47,589, a difference of 3.7%), and householder income over 65 years ($57,426 compared to $54,719, a difference of 5.0%).
Nonimmigrants vs Bangladeshi Income
Income MetricNonimmigrantsBangladeshi
Per Capita Income
Tragic
$40,669
Tragic
$35,897
Median Family Income
Tragic
$96,231
Tragic
$88,358
Median Household Income
Tragic
$79,429
Tragic
$74,112
Median Earnings
Tragic
$44,117
Tragic
$41,263
Median Male Earnings
Tragic
$52,170
Tragic
$46,744
Median Female Earnings
Tragic
$37,024
Tragic
$35,960
Householder Age | Under 25 years
Tragic
$49,348
Tragic
$47,589
Householder Age | 25 - 44 years
Tragic
$88,301
Tragic
$81,363
Householder Age | 45 - 64 years
Tragic
$94,448
Tragic
$86,402
Householder Age | Over 65 years
Tragic
$57,426
Tragic
$54,719
Wage/Income Gap
Tragic
27.2%
Exceptional
22.2%

Nonimmigrants vs Bangladeshi Poverty

When considering poverty, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in single father poverty (18.8% compared to 15.2%, a difference of 24.1%), receiving food stamps (12.4% compared to 15.0%, a difference of 21.6%), and married-couple family poverty (5.3% compared to 6.0%, a difference of 13.2%). Conversely, both communities are more comparable in terms of single mother poverty (32.2% compared to 31.7%, a difference of 1.4%), female poverty among 25-34 year olds (15.6% compared to 15.9%, a difference of 1.7%), and seniors poverty over the age of 75 (12.2% compared to 12.0%, a difference of 2.1%).
Nonimmigrants vs Bangladeshi Poverty
Poverty MetricNonimmigrantsBangladeshi
Poverty
Tragic
13.3%
Tragic
14.8%
Families
Tragic
9.8%
Tragic
10.9%
Males
Tragic
12.1%
Tragic
13.6%
Females
Tragic
14.5%
Tragic
16.0%
Females 18 to 24 years
Tragic
21.5%
Tragic
22.5%
Females 25 to 34 years
Tragic
15.6%
Tragic
15.9%
Children Under 5 years
Tragic
19.7%
Tragic
20.6%
Children Under 16 years
Tragic
17.9%
Tragic
19.9%
Boys Under 16 years
Tragic
18.2%
Tragic
20.0%
Girls Under 16 years
Tragic
18.3%
Tragic
20.0%
Single Males
Tragic
14.6%
Tragic
13.3%
Single Females
Tragic
23.6%
Tragic
24.2%
Single Fathers
Tragic
18.8%
Exceptional
15.2%
Single Mothers
Tragic
32.2%
Tragic
31.7%
Married Couples
Fair
5.3%
Tragic
6.0%
Seniors Over 65 years
Average
10.9%
Fair
11.2%
Seniors Over 75 years
Average
12.2%
Good
12.0%
Receiving Food Stamps
Poor
12.4%
Tragic
15.0%

Nonimmigrants vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.0% compared to 7.4%, a difference of 36.1%), unemployment among women with children under 6 years (8.8% compared to 7.5%, a difference of 17.9%), and unemployment among ages 30 to 34 years (6.1% compared to 5.3%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.15%), unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 0.73%), and unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 1.2%).
Nonimmigrants vs Bangladeshi Unemployment
Unemployment MetricNonimmigrantsBangladeshi
Unemployment
Average
5.3%
Poor
5.4%
Males
Poor
5.4%
Tragic
5.7%
Females
Average
5.3%
Good
5.2%
Youth < 25
Tragic
11.9%
Average
11.6%
Age | 16 to 19 years
Fair
17.9%
Exceptional
16.9%
Age | 20 to 24 years
Tragic
10.5%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
7.1%
Average
6.6%
Age | 30 to 34 years
Tragic
6.1%
Good
5.3%
Age | 35 to 44 years
Tragic
4.9%
Fair
4.8%
Age | 45 to 54 years
Good
4.5%
Average
4.5%
Age | 55 to 59 years
Poor
4.9%
Exceptional
4.7%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.6%
Age | 65 to 74 years
Fair
5.4%
Good
5.3%
Seniors > 65
Average
5.1%
Fair
5.2%
Seniors > 75
Tragic
9.8%
Tragic
9.6%
Women w/ Children < 6
Tragic
8.8%
Good
7.5%
Women w/ Children 6 to 17
Tragic
10.0%
Exceptional
7.4%
Women w/ Children < 18
Poor
5.7%
Good
5.3%

Nonimmigrants vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 42.5%, a difference of 5.9%), in labor force | age > 16 (63.5% compared to 65.9%, a difference of 3.8%), and in labor force | age 20-24 (76.2% compared to 78.1%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.2% compared to 81.3%, a difference of 0.11%), in labor force | age 30-34 (83.5% compared to 84.3%, a difference of 0.97%), and in labor force | age 35-44 (83.2% compared to 84.1%, a difference of 1.1%).
Nonimmigrants vs Bangladeshi Labor Participation
Labor Participation MetricNonimmigrantsBangladeshi
In Labor Force | Age > 16
Tragic
63.5%
Exceptional
65.9%
In Labor Force | Age 20-64
Tragic
78.1%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
40.1%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
76.2%
Exceptional
78.1%
In Labor Force | Age 25-29
Tragic
83.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
83.5%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
83.2%
Poor
84.1%
In Labor Force | Age 45-54
Tragic
81.2%
Tragic
81.3%

Nonimmigrants vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in single father households (2.4% compared to 3.1%, a difference of 25.6%), single mother households (6.7% compared to 8.1%, a difference of 21.8%), and family households with children (27.5% compared to 30.1%, a difference of 9.4%). Conversely, both communities are more comparable in terms of family households (64.8% compared to 64.3%, a difference of 0.82%), births to unmarried women (35.5% compared to 34.4%, a difference of 3.3%), and divorced or separated (12.8% compared to 12.3%, a difference of 3.8%).
Nonimmigrants vs Bangladeshi Family Structure
Family Structure MetricNonimmigrantsBangladeshi
Family Households
Exceptional
64.8%
Average
64.3%
Family Households with Children
Good
27.5%
Exceptional
30.1%
Married-couple Households
Good
46.9%
Tragic
43.5%
Average Family Size
Tragic
3.19
Exceptional
3.37
Single Father Households
Tragic
2.4%
Tragic
3.1%
Single Mother Households
Poor
6.7%
Tragic
8.1%
Currently Married
Good
46.9%
Tragic
43.7%
Divorced or Separated
Tragic
12.8%
Poor
12.3%
Births to Unmarried Women
Tragic
35.5%
Tragic
34.4%

Nonimmigrants vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in no vehicles in household (7.9% compared to 8.7%, a difference of 9.7%), 4 or more vehicles in household (7.2% compared to 7.6%, a difference of 4.5%), and 1 or more vehicles in household (92.2% compared to 91.4%, a difference of 0.92%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.8% compared to 21.9%, a difference of 0.44%), 2 or more vehicles in household (58.8% compared to 58.4%, a difference of 0.57%), and 1 or more vehicles in household (92.2% compared to 91.4%, a difference of 0.92%).
Nonimmigrants vs Bangladeshi Vehicle Availability
Vehicle Availability MetricNonimmigrantsBangladeshi
No Vehicles Available
Exceptional
7.9%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
92.2%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
58.8%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
21.8%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
7.2%
Exceptional
7.6%

Nonimmigrants vs Bangladeshi Education Level

When considering education level, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in no schooling completed (1.8% compared to 3.5%, a difference of 97.1%), doctorate degree (1.7% compared to 1.2%, a difference of 38.9%), and master's degree (13.3% compared to 10.5%, a difference of 27.2%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 96.6%, a difference of 1.8%), kindergarten (98.3% compared to 96.6%, a difference of 1.8%), and 1st grade (98.2% compared to 96.5%, a difference of 1.8%).
Nonimmigrants vs Bangladeshi Education Level
Education Level MetricNonimmigrantsBangladeshi
No Schooling Completed
Exceptional
1.8%
Tragic
3.5%
Nursery School
Exceptional
98.3%
Tragic
96.6%
Kindergarten
Exceptional
98.3%
Tragic
96.6%
1st Grade
Exceptional
98.2%
Tragic
96.5%
2nd Grade
Exceptional
98.2%
Tragic
96.5%
3rd Grade
Exceptional
98.1%
Tragic
96.3%
4th Grade
Exceptional
97.9%
Tragic
96.1%
5th Grade
Exceptional
97.7%
Tragic
95.9%
6th Grade
Exceptional
97.4%
Tragic
95.7%
7th Grade
Exceptional
96.5%
Tragic
94.5%
8th Grade
Exceptional
96.2%
Tragic
94.3%
9th Grade
Exceptional
95.3%
Tragic
93.4%
10th Grade
Excellent
94.1%
Tragic
92.2%
11th Grade
Good
92.7%
Tragic
90.9%
12th Grade, No Diploma
Fair
91.0%
Tragic
89.3%
High School Diploma
Average
89.2%
Tragic
86.9%
GED/Equivalency
Fair
85.2%
Tragic
83.1%
College, Under 1 year
Tragic
62.9%
Tragic
61.4%
College, 1 year or more
Tragic
56.5%
Tragic
54.5%
Associate's Degree
Tragic
42.9%
Tragic
40.0%
Bachelor's Degree
Tragic
34.2%
Tragic
30.2%
Master's Degree
Tragic
13.3%
Tragic
10.5%
Professional Degree
Tragic
3.9%
Tragic
3.1%
Doctorate Degree
Tragic
1.7%
Tragic
1.2%

Nonimmigrants vs Bangladeshi Disability

When considering disability, the most significant differences between Nonimmigrants and Bangladeshi communities in the United States are seen in disability age under 5 (1.6% compared to 1.3%, a difference of 24.7%), hearing disability (3.6% compared to 3.2%, a difference of 13.1%), and ambulatory disability (6.9% compared to 6.3%, a difference of 9.4%). Conversely, both communities are more comparable in terms of female disability (13.4% compared to 13.1%, a difference of 2.1%), disability age over 75 (48.0% compared to 49.4%, a difference of 2.9%), and disability age 18 to 34 (7.6% compared to 7.4%, a difference of 3.8%).
Nonimmigrants vs Bangladeshi Disability
Disability MetricNonimmigrantsBangladeshi
Disability
Tragic
13.2%
Tragic
12.6%
Males
Tragic
12.9%
Tragic
12.0%
Females
Tragic
13.4%
Tragic
13.1%
Age | Under 5 years
Tragic
1.6%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.3%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.6%
Tragic
7.4%
Age | 35 to 64 years
Tragic
13.0%
Tragic
13.6%
Age | 65 to 74 years
Tragic
25.0%
Tragic
26.8%
Age | Over 75 years
Tragic
48.0%
Tragic
49.4%
Vision
Tragic
2.5%
Tragic
2.3%
Hearing
Tragic
3.6%
Tragic
3.2%
Cognitive
Fair
17.4%
Tragic
18.6%
Ambulatory
Tragic
6.9%
Poor
6.3%
Self-Care
Tragic
2.6%
Tragic
2.8%