Bangladeshi vs Crow Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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
Crow
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

Crow

Fair
Fair
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
2,555
SOCIAL INDEX
23.1/ 100
SOCIAL RATING
251st/ 347
SOCIAL RANK

Crow Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 41,657,627 people shows a slight negative correlation between the proportion of Crow within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.077. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.001% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 1.0 Crow.
Bangladeshi Integration in Crow Communities

Bangladeshi vs Crow Income

When considering income, the most significant differences between Bangladeshi and Crow communities in the United States are seen in median household income ($74,112 compared to $63,681, a difference of 16.4%), householder income ages 45 - 64 years ($86,402 compared to $74,257, a difference of 16.4%), and wage/income gap (22.2% compared to 19.1%, a difference of 16.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $47,012, a difference of 1.2%), median female earnings ($35,960 compared to $35,266, a difference of 2.0%), and median earnings ($41,263 compared to $38,707, a difference of 6.6%).
Bangladeshi vs Crow Income
Income MetricBangladeshiCrow
Per Capita Income
Tragic
$35,897
Tragic
$31,729
Median Family Income
Tragic
$88,358
Tragic
$76,605
Median Household Income
Tragic
$74,112
Tragic
$63,681
Median Earnings
Tragic
$41,263
Tragic
$38,707
Median Male Earnings
Tragic
$46,744
Tragic
$42,434
Median Female Earnings
Tragic
$35,960
Tragic
$35,266
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$47,012
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$71,337
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$74,257
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$49,234
Wage/Income Gap
Exceptional
22.2%
Exceptional
19.1%

Bangladeshi vs Crow Poverty

When considering poverty, the most significant differences between Bangladeshi and Crow communities in the United States are seen in single father poverty (15.2% compared to 30.3%, a difference of 99.4%), single male poverty (13.3% compared to 23.3%, a difference of 74.3%), and married-couple family poverty (6.0% compared to 9.6%, a difference of 59.1%). Conversely, both communities are more comparable in terms of receiving food stamps (15.0% compared to 13.4%, a difference of 12.1%), single mother poverty (31.7% compared to 38.6%, a difference of 21.8%), and child poverty under the age of 16 (19.9% compared to 26.0%, a difference of 30.4%).
Bangladeshi vs Crow Poverty
Poverty MetricBangladeshiCrow
Poverty
Tragic
14.8%
Tragic
20.7%
Families
Tragic
10.9%
Tragic
16.1%
Males
Tragic
13.6%
Tragic
19.1%
Females
Tragic
16.0%
Tragic
22.1%
Females 18 to 24 years
Tragic
22.5%
Tragic
33.2%
Females 25 to 34 years
Tragic
15.9%
Tragic
22.7%
Children Under 5 years
Tragic
20.6%
Tragic
31.0%
Children Under 16 years
Tragic
19.9%
Tragic
26.0%
Boys Under 16 years
Tragic
20.0%
Tragic
26.3%
Girls Under 16 years
Tragic
20.0%
Tragic
26.4%
Single Males
Tragic
13.3%
Tragic
23.3%
Single Females
Tragic
24.2%
Tragic
32.4%
Single Fathers
Exceptional
15.2%
Tragic
30.3%
Single Mothers
Tragic
31.7%
Tragic
38.6%
Married Couples
Tragic
6.0%
Tragic
9.6%
Seniors Over 65 years
Fair
11.2%
Tragic
15.2%
Seniors Over 75 years
Good
12.0%
Tragic
15.9%
Receiving Food Stamps
Tragic
15.0%
Tragic
13.4%

Bangladeshi vs Crow Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.8% compared to 15.7%, a difference of 229.4%), unemployment among ages 65 to 74 years (5.3% compared to 17.4%, a difference of 226.1%), and unemployment among seniors over 65 years (5.2% compared to 16.9%, a difference of 225.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 5.0%, a difference of 8.3%), unemployment among ages 55 to 59 years (4.7% compared to 5.9%, a difference of 24.9%), and unemployment among women with children ages 6 to 17 years (7.4% compared to 9.2%, a difference of 25.7%).
Bangladeshi vs Crow Unemployment
Unemployment MetricBangladeshiCrow
Unemployment
Poor
5.4%
Tragic
11.1%
Males
Tragic
5.7%
Tragic
10.6%
Females
Good
5.2%
Tragic
12.1%
Youth < 25
Average
11.6%
Tragic
20.1%
Age | 16 to 19 years
Exceptional
16.9%
Tragic
26.2%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
18.7%
Age | 25 to 29 years
Average
6.6%
Tragic
15.4%
Age | 30 to 34 years
Good
5.3%
Tragic
10.3%
Age | 35 to 44 years
Fair
4.8%
Tragic
15.7%
Age | 45 to 54 years
Average
4.5%
Tragic
13.7%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.9%
Age | 60 to 64 years
Exceptional
4.6%
Tragic
5.0%
Age | 65 to 74 years
Good
5.3%
Tragic
17.4%
Seniors > 65
Fair
5.2%
Tragic
16.9%
Seniors > 75
Tragic
9.6%
Exceptional
5.9%
Women w/ Children < 6
Good
7.5%
Tragic
14.6%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
9.2%
Women w/ Children < 18
Good
5.3%
Tragic
8.2%

Bangladeshi vs Crow Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Crow communities in the United States are seen in in labor force | age 30-34 (84.3% compared to 75.9%, a difference of 11.1%), in labor force | age 16-19 (42.5% compared to 38.5%, a difference of 10.3%), and in labor force | age 35-44 (84.1% compared to 76.5%, a difference of 10.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (78.1% compared to 76.9%, a difference of 1.6%), in labor force | age 45-54 (81.3% compared to 78.3%, a difference of 3.8%), and in labor force | age 20-64 (79.3% compared to 73.3%, a difference of 8.2%).
Bangladeshi vs Crow Labor Participation
Labor Participation MetricBangladeshiCrow
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
60.8%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
73.3%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
38.5%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
76.9%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
78.6%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
75.9%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
76.5%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
78.3%

Bangladeshi vs Crow Family Structure

When considering family structure, the most significant differences between Bangladeshi and Crow communities in the United States are seen in births to unmarried women (34.4% compared to 40.4%, a difference of 17.3%), divorced or separated (12.3% compared to 14.1%, a difference of 14.7%), and single father households (3.1% compared to 3.5%, a difference of 14.4%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 65.3%, a difference of 1.6%), married-couple households (43.5% compared to 41.4%, a difference of 5.3%), and currently married (43.7% compared to 40.4%, a difference of 8.2%).
Bangladeshi vs Crow Family Structure
Family Structure MetricBangladeshiCrow
Family Households
Average
64.3%
Exceptional
65.3%
Family Households with Children
Exceptional
30.1%
Fair
27.4%
Married-couple Households
Tragic
43.5%
Tragic
41.4%
Average Family Size
Exceptional
3.37
Exceptional
3.82
Single Father Households
Tragic
3.1%
Tragic
3.5%
Single Mother Households
Tragic
8.1%
Tragic
7.4%
Currently Married
Tragic
43.7%
Tragic
40.4%
Divorced or Separated
Poor
12.3%
Tragic
14.1%
Births to Unmarried Women
Tragic
34.4%
Tragic
40.4%

Bangladeshi vs Crow Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Crow communities in the United States are seen in no vehicles in household (8.7% compared to 11.0%, a difference of 27.4%), 2 or more vehicles in household (58.4% compared to 55.7%, a difference of 4.8%), and 4 or more vehicles in household (7.6% compared to 7.8%, a difference of 3.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 89.3%, a difference of 2.3%), 3 or more vehicles in household (21.9% compared to 22.5%, a difference of 2.7%), and 4 or more vehicles in household (7.6% compared to 7.8%, a difference of 3.1%).
Bangladeshi vs Crow Vehicle Availability
Vehicle Availability MetricBangladeshiCrow
No Vehicles Available
Exceptional
8.7%
Poor
11.0%
1+ Vehicles Available
Exceptional
91.4%
Fair
89.3%
2+ Vehicles Available
Exceptional
58.4%
Good
55.7%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
22.5%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.8%

Bangladeshi vs Crow Education Level

When considering education level, the most significant differences between Bangladeshi and Crow communities in the United States are seen in no schooling completed (3.5% compared to 1.6%, a difference of 116.0%), doctorate degree (1.2% compared to 1.5%, a difference of 22.0%), and bachelor's degree (30.2% compared to 27.7%, a difference of 8.8%). Conversely, both communities are more comparable in terms of college, 1 year or more (54.5% compared to 54.5%, a difference of 0.030%), 12th grade, no diploma (89.3% compared to 90.0%, a difference of 0.84%), and ged/equivalency (83.1% compared to 83.8%, a difference of 0.84%).
Bangladeshi vs Crow Education Level
Education Level MetricBangladeshiCrow
No Schooling Completed
Tragic
3.5%
Exceptional
1.6%
Nursery School
Tragic
96.6%
Exceptional
99.7%
Kindergarten
Tragic
96.6%
Exceptional
99.7%
1st Grade
Tragic
96.5%
Exceptional
99.6%
2nd Grade
Tragic
96.5%
Exceptional
99.6%
3rd Grade
Tragic
96.3%
Exceptional
99.6%
4th Grade
Tragic
96.1%
Exceptional
99.6%
5th Grade
Tragic
95.9%
Exceptional
99.5%
6th Grade
Tragic
95.7%
Exceptional
99.4%
7th Grade
Tragic
94.5%
Exceptional
99.1%
8th Grade
Tragic
94.3%
Exceptional
99.0%
9th Grade
Tragic
93.4%
Exceptional
96.1%
10th Grade
Tragic
92.2%
Exceptional
94.7%
11th Grade
Tragic
90.9%
Excellent
92.9%
12th Grade, No Diploma
Tragic
89.3%
Tragic
90.0%
High School Diploma
Tragic
86.9%
Poor
88.4%
GED/Equivalency
Tragic
83.1%
Tragic
83.8%
College, Under 1 year
Tragic
61.4%
Tragic
60.2%
College, 1 year or more
Tragic
54.5%
Tragic
54.5%
Associate's Degree
Tragic
40.0%
Tragic
37.6%
Bachelor's Degree
Tragic
30.2%
Tragic
27.7%
Master's Degree
Tragic
10.5%
Tragic
10.6%
Professional Degree
Tragic
3.1%
Tragic
3.2%
Doctorate Degree
Tragic
1.2%
Tragic
1.5%

Bangladeshi vs Crow Disability

When considering disability, the most significant differences between Bangladeshi and Crow communities in the United States are seen in hearing disability (3.2% compared to 4.2%, a difference of 31.6%), disability age 18 to 34 (7.4% compared to 8.3%, a difference of 12.3%), and self-care disability (2.8% compared to 2.5%, a difference of 12.0%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 49.6%, a difference of 0.36%), disability (12.6% compared to 12.9%, a difference of 2.8%), and female disability (13.1% compared to 12.7%, a difference of 3.4%).
Bangladeshi vs Crow Disability
Disability MetricBangladeshiCrow
Disability
Tragic
12.6%
Tragic
12.9%
Males
Tragic
12.0%
Tragic
13.1%
Females
Tragic
13.1%
Tragic
12.7%
Age | Under 5 years
Poor
1.3%
Average
1.2%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.4%
Age | 18 to 34 years
Tragic
7.4%
Tragic
8.3%
Age | 35 to 64 years
Tragic
13.6%
Tragic
14.6%
Age | 65 to 74 years
Tragic
26.8%
Tragic
27.9%
Age | Over 75 years
Tragic
49.4%
Tragic
49.6%
Vision
Tragic
2.3%
Tragic
2.5%
Hearing
Tragic
3.2%
Tragic
4.2%
Cognitive
Tragic
18.6%
Fair
17.3%
Ambulatory
Poor
6.3%
Tragic
6.9%
Self-Care
Tragic
2.8%
Poor
2.5%