Bangladeshi vs German Russian Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian/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
German Russian
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

German Russians

Fair
Average
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
4,821
SOCIAL INDEX
45.7/ 100
SOCIAL RATING
192nd/ 347
SOCIAL RANK

German Russian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 61,843,604 people shows no correlation between the proportion of German Russians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.011. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.000% in German Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 0.2 German Russians.
Bangladeshi Integration in German Russian Communities

Bangladeshi vs German Russian Income

When considering income, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in per capita income ($35,897 compared to $40,266, a difference of 12.2%), wage/income gap (22.2% compared to 24.6%, a difference of 11.1%), and median male earnings ($46,744 compared to $49,924, a difference of 6.8%). Conversely, both communities are more comparable in terms of householder income over 65 years ($54,719 compared to $55,356, a difference of 1.2%), median household income ($74,112 compared to $75,856, a difference of 2.4%), and median female earnings ($35,960 compared to $37,105, a difference of 3.2%).
Bangladeshi vs German Russian Income
Income MetricBangladeshiGerman Russian
Per Capita Income
Tragic
$35,897
Tragic
$40,266
Median Family Income
Tragic
$88,358
Tragic
$93,858
Median Household Income
Tragic
$74,112
Tragic
$75,856
Median Earnings
Tragic
$41,263
Tragic
$43,200
Median Male Earnings
Tragic
$46,744
Tragic
$49,924
Median Female Earnings
Tragic
$35,960
Tragic
$37,105
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$45,673
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$85,220
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$89,398
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$55,356
Wage/Income Gap
Exceptional
22.2%
Exceptional
24.6%

Bangladeshi vs German Russian Poverty

When considering poverty, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in receiving food stamps (15.0% compared to 11.8%, a difference of 27.8%), married-couple family poverty (6.0% compared to 5.0%, a difference of 21.3%), and single father poverty (15.2% compared to 17.7%, a difference of 16.4%). Conversely, both communities are more comparable in terms of single female poverty (24.2% compared to 23.9%, a difference of 1.2%), single mother poverty (31.7% compared to 31.3%, a difference of 1.2%), and single male poverty (13.3% compared to 13.6%, a difference of 2.0%).
Bangladeshi vs German Russian Poverty
Poverty MetricBangladeshiGerman Russian
Poverty
Tragic
14.8%
Tragic
13.4%
Families
Tragic
10.9%
Poor
9.4%
Males
Tragic
13.6%
Tragic
12.2%
Females
Tragic
16.0%
Tragic
14.7%
Females 18 to 24 years
Tragic
22.5%
Tragic
25.2%
Females 25 to 34 years
Tragic
15.9%
Tragic
14.9%
Children Under 5 years
Tragic
20.6%
Tragic
18.8%
Children Under 16 years
Tragic
19.9%
Tragic
17.4%
Boys Under 16 years
Tragic
20.0%
Poor
17.4%
Girls Under 16 years
Tragic
20.0%
Tragic
17.8%
Single Males
Tragic
13.3%
Tragic
13.6%
Single Females
Tragic
24.2%
Tragic
23.9%
Single Fathers
Exceptional
15.2%
Tragic
17.7%
Single Mothers
Tragic
31.7%
Tragic
31.3%
Married Couples
Tragic
6.0%
Excellent
5.0%
Seniors Over 65 years
Fair
11.2%
Average
11.0%
Seniors Over 75 years
Good
12.0%
Average
12.3%
Receiving Food Stamps
Tragic
15.0%
Average
11.8%

Bangladeshi vs German Russian Unemployment

When considering unemployment, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.5%, a difference of 16.1%), unemployment among seniors over 75 years (9.6% compared to 8.4%, a difference of 14.3%), and male unemployment (5.7% compared to 5.1%, a difference of 11.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.4%, a difference of 0.26%), unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.81%), and unemployment among ages 20 to 24 years (10.0% compared to 10.1%, a difference of 0.89%).
Bangladeshi vs German Russian Unemployment
Unemployment MetricBangladeshiGerman Russian
Unemployment
Poor
5.4%
Exceptional
4.9%
Males
Tragic
5.7%
Exceptional
5.1%
Females
Good
5.2%
Exceptional
4.9%
Youth < 25
Average
11.6%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.9%
Excellent
17.2%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.1%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.2%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.0%
Age | 35 to 44 years
Fair
4.8%
Average
4.7%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.6%
Poor
4.9%
Age | 65 to 74 years
Good
5.3%
Tragic
5.5%
Seniors > 65
Fair
5.2%
Poor
5.2%
Seniors > 75
Tragic
9.6%
Exceptional
8.4%
Women w/ Children < 6
Good
7.5%
Tragic
8.2%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.5%
Women w/ Children < 18
Good
5.3%
Good
5.4%

Bangladeshi vs German Russian Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in in labor force | age 45-54 (81.3% compared to 82.8%, a difference of 1.9%), in labor force | age 35-44 (84.1% compared to 85.2%, a difference of 1.3%), and in labor force | age 30-34 (84.3% compared to 85.2%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (42.5% compared to 42.4%, a difference of 0.080%), in labor force | age > 16 (65.9% compared to 66.1%, a difference of 0.19%), and in labor force | age 20-24 (78.1% compared to 77.5%, a difference of 0.77%).
Bangladeshi vs German Russian Labor Participation
Labor Participation MetricBangladeshiGerman Russian
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
66.1%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.1%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
42.4%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
77.5%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.2%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
81.3%
Good
82.8%

Bangladeshi vs German Russian Family Structure

When considering family structure, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 28.9%), single mother households (8.1% compared to 6.7%, a difference of 22.2%), and family households with children (30.1% compared to 26.8%, a difference of 12.2%). Conversely, both communities are more comparable in terms of married-couple households (43.5% compared to 44.0%, a difference of 1.1%), divorced or separated (12.3% compared to 12.0%, a difference of 2.3%), and births to unmarried women (34.4% compared to 33.1%, a difference of 4.0%).
Bangladeshi vs German Russian Family Structure
Family Structure MetricBangladeshiGerman Russian
Family Households
Average
64.3%
Tragic
60.9%
Family Households with Children
Exceptional
30.1%
Tragic
26.8%
Married-couple Households
Tragic
43.5%
Tragic
44.0%
Average Family Size
Exceptional
3.37
Tragic
3.15
Single Father Households
Tragic
3.1%
Fair
2.4%
Single Mother Households
Tragic
8.1%
Poor
6.7%
Currently Married
Tragic
43.7%
Tragic
45.5%
Divorced or Separated
Poor
12.3%
Good
12.0%
Births to Unmarried Women
Tragic
34.4%
Poor
33.1%

Bangladeshi vs German Russian Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in no vehicles in household (8.7% compared to 10.5%, a difference of 21.6%), 4 or more vehicles in household (7.6% compared to 7.0%, a difference of 8.2%), and 3 or more vehicles in household (21.9% compared to 20.5%, a difference of 6.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 89.6%, a difference of 2.0%), 2 or more vehicles in household (58.4% compared to 55.6%, a difference of 5.1%), and 3 or more vehicles in household (21.9% compared to 20.5%, a difference of 6.7%).
Bangladeshi vs German Russian Vehicle Availability
Vehicle Availability MetricBangladeshiGerman Russian
No Vehicles Available
Exceptional
8.7%
Average
10.5%
1+ Vehicles Available
Exceptional
91.4%
Average
89.6%
2+ Vehicles Available
Exceptional
58.4%
Good
55.6%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
20.5%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.0%

Bangladeshi vs German Russian Education Level

When considering education level, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in no schooling completed (3.5% compared to 1.8%, a difference of 93.2%), doctorate degree (1.2% compared to 1.8%, a difference of 46.3%), and master's degree (10.5% compared to 13.5%, a difference of 28.5%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.2%, a difference of 1.7%), kindergarten (96.6% compared to 98.2%, a difference of 1.7%), and 1st grade (96.5% compared to 98.2%, a difference of 1.7%).
Bangladeshi vs German Russian Education Level
Education Level MetricBangladeshiGerman Russian
No Schooling Completed
Tragic
3.5%
Exceptional
1.8%
Nursery School
Tragic
96.6%
Exceptional
98.2%
Kindergarten
Tragic
96.6%
Exceptional
98.2%
1st Grade
Tragic
96.5%
Exceptional
98.2%
2nd Grade
Tragic
96.5%
Exceptional
98.1%
3rd Grade
Tragic
96.3%
Exceptional
98.1%
4th Grade
Tragic
96.1%
Exceptional
97.9%
5th Grade
Tragic
95.9%
Exceptional
97.7%
6th Grade
Tragic
95.7%
Exceptional
97.5%
7th Grade
Tragic
94.5%
Exceptional
96.7%
8th Grade
Tragic
94.3%
Exceptional
96.4%
9th Grade
Tragic
93.4%
Exceptional
95.4%
10th Grade
Tragic
92.2%
Exceptional
94.4%
11th Grade
Tragic
90.9%
Exceptional
93.3%
12th Grade, No Diploma
Tragic
89.3%
Excellent
91.8%
High School Diploma
Tragic
86.9%
Exceptional
90.0%
GED/Equivalency
Tragic
83.1%
Good
86.2%
College, Under 1 year
Tragic
61.4%
Average
65.4%
College, 1 year or more
Tragic
54.5%
Fair
59.1%
Associate's Degree
Tragic
40.0%
Poor
45.1%
Bachelor's Degree
Tragic
30.2%
Poor
35.8%
Master's Degree
Tragic
10.5%
Tragic
13.5%
Professional Degree
Tragic
3.1%
Tragic
4.0%
Doctorate Degree
Tragic
1.2%
Fair
1.8%

Bangladeshi vs German Russian Disability

When considering disability, the most significant differences between Bangladeshi and German Russian communities in the United States are seen in disability age under 5 (1.3% compared to 1.6%, a difference of 26.4%), self-care disability (2.8% compared to 2.5%, a difference of 15.0%), and disability age 65 to 74 (26.8% compared to 24.4%, a difference of 9.8%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 12.0%, a difference of 0.010%), disability age 18 to 34 (7.4% compared to 7.4%, a difference of 0.060%), and ambulatory disability (6.3% compared to 6.3%, a difference of 0.60%).
Bangladeshi vs German Russian Disability
Disability MetricBangladeshiGerman Russian
Disability
Tragic
12.6%
Tragic
12.3%
Males
Tragic
12.0%
Tragic
12.0%
Females
Tragic
13.1%
Tragic
12.6%
Age | Under 5 years
Poor
1.3%
Tragic
1.6%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.9%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.4%
Age | 35 to 64 years
Tragic
13.6%
Tragic
12.5%
Age | 65 to 74 years
Tragic
26.8%
Tragic
24.4%
Age | Over 75 years
Tragic
49.4%
Average
47.3%
Vision
Tragic
2.3%
Tragic
2.3%
Hearing
Tragic
3.2%
Tragic
3.3%
Cognitive
Tragic
18.6%
Tragic
18.2%
Ambulatory
Poor
6.3%
Tragic
6.3%
Self-Care
Tragic
2.8%
Good
2.5%