Native/Alaskan vs Bangladeshi Community Comparison

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Native/Alaskan
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
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

Natives/Alaskans

Bangladeshis

Tragic
Fair
1,140
SOCIAL INDEX
9.0/ 100
SOCIAL RATING
321st/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Native/Alaskan Communities

The statistical analysis conducted on geographies consisting of 139,453,059 people shows no correlation between the proportion of Bangladeshis within Native/Alaskan communities in the United States with a correlation coefficient (R) of 0.006. On average, for every 1% (one percent) increase in Natives/Alaskans within a typical geography, there is an increase of 0.000% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Natives/Alaskans corresponds to an increase of 0.2 Bangladeshis.
Native/Alaskan Integration in Bangladeshi Communities

Native/Alaskan vs Bangladeshi Income

When considering income, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in wage/income gap (24.6% compared to 22.2%, a difference of 10.8%), median family income ($80,908 compared to $88,358, a difference of 9.2%), and median household income ($67,879 compared to $74,112, a difference of 9.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,704 compared to $47,589, a difference of 0.24%), median male earnings ($44,775 compared to $46,744, a difference of 4.4%), and householder income over 65 years ($52,081 compared to $54,719, a difference of 5.1%).
Native/Alaskan vs Bangladeshi Income
Income MetricNative/AlaskanBangladeshi
Per Capita Income
Tragic
$33,279
Tragic
$35,897
Median Family Income
Tragic
$80,908
Tragic
$88,358
Median Household Income
Tragic
$67,879
Tragic
$74,112
Median Earnings
Tragic
$38,896
Tragic
$41,263
Median Male Earnings
Tragic
$44,775
Tragic
$46,744
Median Female Earnings
Tragic
$33,806
Tragic
$35,960
Householder Age | Under 25 years
Tragic
$47,704
Tragic
$47,589
Householder Age | 25 - 44 years
Tragic
$75,647
Tragic
$81,363
Householder Age | 45 - 64 years
Tragic
$79,816
Tragic
$86,402
Householder Age | Over 65 years
Tragic
$52,081
Tragic
$54,719
Wage/Income Gap
Exceptional
24.6%
Exceptional
22.2%

Native/Alaskan vs Bangladeshi Poverty

When considering poverty, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in single father poverty (22.4% compared to 15.2%, a difference of 47.4%), single male poverty (19.6% compared to 13.3%, a difference of 47.0%), and married-couple family poverty (8.2% compared to 6.0%, a difference of 36.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (25.4% compared to 22.5%, a difference of 13.2%), receiving food stamps (17.3% compared to 15.0%, a difference of 14.8%), and single mother poverty (36.6% compared to 31.7%, a difference of 15.5%).
Native/Alaskan vs Bangladeshi Poverty
Poverty MetricNative/AlaskanBangladeshi
Poverty
Tragic
18.1%
Tragic
14.8%
Families
Tragic
14.3%
Tragic
10.9%
Males
Tragic
16.9%
Tragic
13.6%
Females
Tragic
19.2%
Tragic
16.0%
Females 18 to 24 years
Tragic
25.4%
Tragic
22.5%
Females 25 to 34 years
Tragic
20.3%
Tragic
15.9%
Children Under 5 years
Tragic
25.6%
Tragic
20.6%
Children Under 16 years
Tragic
23.8%
Tragic
19.9%
Boys Under 16 years
Tragic
24.0%
Tragic
20.0%
Girls Under 16 years
Tragic
24.0%
Tragic
20.0%
Single Males
Tragic
19.6%
Tragic
13.3%
Single Females
Tragic
28.2%
Tragic
24.2%
Single Fathers
Tragic
22.4%
Exceptional
15.2%
Single Mothers
Tragic
36.6%
Tragic
31.7%
Married Couples
Tragic
8.2%
Tragic
6.0%
Seniors Over 65 years
Tragic
14.2%
Fair
11.2%
Seniors Over 75 years
Tragic
15.5%
Good
12.0%
Receiving Food Stamps
Tragic
17.3%
Tragic
15.0%

Native/Alaskan vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (11.5% compared to 7.4%, a difference of 55.8%), unemployment among ages 30 to 34 years (8.2% compared to 5.3%, a difference of 54.0%), and unemployment among women with children under 6 years (11.5% compared to 7.5%, a difference of 53.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (10.2% compared to 9.6%, a difference of 6.1%), unemployment among seniors over 65 years (5.8% compared to 5.2%, a difference of 11.5%), and unemployment among ages 65 to 74 years (6.0% compared to 5.3%, a difference of 13.2%).
Native/Alaskan vs Bangladeshi Unemployment
Unemployment MetricNative/AlaskanBangladeshi
Unemployment
Tragic
7.0%
Poor
5.4%
Males
Tragic
7.7%
Tragic
5.7%
Females
Tragic
6.6%
Good
5.2%
Youth < 25
Tragic
14.5%
Average
11.6%
Age | 16 to 19 years
Tragic
21.5%
Exceptional
16.9%
Age | 20 to 24 years
Tragic
13.0%
Exceptional
10.0%
Age | 25 to 29 years
Tragic
9.8%
Average
6.6%
Age | 30 to 34 years
Tragic
8.2%
Good
5.3%
Age | 35 to 44 years
Tragic
7.3%
Fair
4.8%
Age | 45 to 54 years
Tragic
6.1%
Average
4.5%
Age | 55 to 59 years
Tragic
6.0%
Exceptional
4.7%
Age | 60 to 64 years
Tragic
5.7%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
6.0%
Good
5.3%
Seniors > 65
Tragic
5.8%
Fair
5.2%
Seniors > 75
Tragic
10.2%
Tragic
9.6%
Women w/ Children < 6
Tragic
11.5%
Good
7.5%
Women w/ Children 6 to 17
Tragic
11.5%
Exceptional
7.4%
Women w/ Children < 18
Tragic
7.2%
Good
5.3%

Native/Alaskan vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (36.6% compared to 42.5%, a difference of 16.2%), in labor force | age > 16 (60.6% compared to 65.9%, a difference of 8.8%), and in labor force | age 20-24 (72.4% compared to 78.1%, a difference of 7.9%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (77.1% compared to 81.3%, a difference of 5.4%), in labor force | age 30-34 (79.2% compared to 84.3%, a difference of 6.5%), and in labor force | age 35-44 (78.9% compared to 84.1%, a difference of 6.7%).
Native/Alaskan vs Bangladeshi Labor Participation
Labor Participation MetricNative/AlaskanBangladeshi
In Labor Force | Age > 16
Tragic
60.6%
Exceptional
65.9%
In Labor Force | Age 20-64
Tragic
73.9%
Poor
79.3%
In Labor Force | Age 16-19
Average
36.6%
Exceptional
42.5%
In Labor Force | Age 20-24
Tragic
72.4%
Exceptional
78.1%
In Labor Force | Age 25-29
Tragic
79.3%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
79.2%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
78.9%
Poor
84.1%
In Labor Force | Age 45-54
Tragic
77.1%
Tragic
81.3%

Native/Alaskan vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in births to unmarried women (43.0% compared to 34.4%, a difference of 24.9%), divorced or separated (13.0% compared to 12.3%, a difference of 6.0%), and family households with children (28.4% compared to 30.1%, a difference of 5.9%). Conversely, both communities are more comparable in terms of married-couple households (43.5% compared to 43.5%, a difference of 0.17%), single mother households (8.0% compared to 8.1%, a difference of 1.5%), and currently married (42.8% compared to 43.7%, a difference of 2.1%).
Native/Alaskan vs Bangladeshi Family Structure
Family Structure MetricNative/AlaskanBangladeshi
Family Households
Exceptional
66.4%
Average
64.3%
Family Households with Children
Exceptional
28.4%
Exceptional
30.1%
Married-couple Households
Tragic
43.5%
Tragic
43.5%
Average Family Size
Exceptional
3.45
Exceptional
3.37
Single Father Households
Tragic
3.2%
Tragic
3.1%
Single Mother Households
Tragic
8.0%
Tragic
8.1%
Currently Married
Tragic
42.8%
Tragic
43.7%
Divorced or Separated
Tragic
13.0%
Poor
12.3%
Births to Unmarried Women
Tragic
43.0%
Tragic
34.4%

Native/Alaskan vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in no vehicles in household (10.5% compared to 8.7%, a difference of 21.1%), 4 or more vehicles in household (8.2% compared to 7.6%, a difference of 8.5%), and 3 or more vehicles in household (22.7% compared to 21.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.8% compared to 91.4%, a difference of 1.7%), 2 or more vehicles in household (57.0% compared to 58.4%, a difference of 2.6%), and 3 or more vehicles in household (22.7% compared to 21.9%, a difference of 4.0%).
Native/Alaskan vs Bangladeshi Vehicle Availability
Vehicle Availability MetricNative/AlaskanBangladeshi
No Vehicles Available
Average
10.5%
Exceptional
8.7%
1+ Vehicles Available
Average
89.8%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
57.0%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
22.7%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
8.2%
Exceptional
7.6%

Native/Alaskan vs Bangladeshi Education Level

When considering education level, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in no schooling completed (2.2% compared to 3.5%, a difference of 57.7%), bachelor's degree (26.3% compared to 30.2%, a difference of 14.7%), and associate's degree (34.9% compared to 40.0%, a difference of 14.6%). Conversely, both communities are more comparable in terms of 10th grade (92.2% compared to 92.2%, a difference of 0.040%), 9th grade (93.9% compared to 93.4%, a difference of 0.49%), and 11th grade (90.2% compared to 90.9%, a difference of 0.76%).
Native/Alaskan vs Bangladeshi Education Level
Education Level MetricNative/AlaskanBangladeshi
No Schooling Completed
Tragic
2.2%
Tragic
3.5%
Nursery School
Average
98.0%
Tragic
96.6%
Kindergarten
Average
98.0%
Tragic
96.6%
1st Grade
Average
97.9%
Tragic
96.5%
2nd Grade
Average
97.9%
Tragic
96.5%
3rd Grade
Fair
97.7%
Tragic
96.3%
4th Grade
Fair
97.4%
Tragic
96.1%
5th Grade
Poor
97.2%
Tragic
95.9%
6th Grade
Poor
96.8%
Tragic
95.7%
7th Grade
Tragic
95.6%
Tragic
94.5%
8th Grade
Tragic
95.2%
Tragic
94.3%
9th Grade
Tragic
93.9%
Tragic
93.4%
10th Grade
Tragic
92.2%
Tragic
92.2%
11th Grade
Tragic
90.2%
Tragic
90.9%
12th Grade, No Diploma
Tragic
87.7%
Tragic
89.3%
High School Diploma
Tragic
85.6%
Tragic
86.9%
GED/Equivalency
Tragic
80.9%
Tragic
83.1%
College, Under 1 year
Tragic
56.6%
Tragic
61.4%
College, 1 year or more
Tragic
50.2%
Tragic
54.5%
Associate's Degree
Tragic
34.9%
Tragic
40.0%
Bachelor's Degree
Tragic
26.3%
Tragic
30.2%
Master's Degree
Tragic
9.9%
Tragic
10.5%
Professional Degree
Tragic
3.0%
Tragic
3.1%
Doctorate Degree
Tragic
1.3%
Tragic
1.2%

Native/Alaskan vs Bangladeshi Disability

When considering disability, the most significant differences between Native/Alaskan and Bangladeshi communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 50.9%), hearing disability (4.2% compared to 3.2%, a difference of 32.6%), and vision disability (3.0% compared to 2.3%, a difference of 26.4%). Conversely, both communities are more comparable in terms of self-care disability (2.8% compared to 2.8%, a difference of 0.45%), cognitive disability (18.1% compared to 18.6%, a difference of 2.6%), and disability age over 75 (53.1% compared to 49.4%, a difference of 7.3%).
Native/Alaskan vs Bangladeshi Disability
Disability MetricNative/AlaskanBangladeshi
Disability
Tragic
14.2%
Tragic
12.6%
Males
Tragic
14.2%
Tragic
12.0%
Females
Tragic
14.1%
Tragic
13.1%
Age | Under 5 years
Tragic
1.9%
Poor
1.3%
Age | 5 to 17 years
Tragic
6.3%
Tragic
5.8%
Age | 18 to 34 years
Tragic
8.2%
Tragic
7.4%
Age | 35 to 64 years
Tragic
15.3%
Tragic
13.6%
Age | 65 to 74 years
Tragic
30.4%
Tragic
26.8%
Age | Over 75 years
Tragic
53.1%
Tragic
49.4%
Vision
Tragic
3.0%
Tragic
2.3%
Hearing
Tragic
4.2%
Tragic
3.2%
Cognitive
Tragic
18.1%
Tragic
18.6%
Ambulatory
Tragic
7.5%
Poor
6.3%
Self-Care
Tragic
2.8%
Tragic
2.8%