German Russian vs Bangladeshi Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

German Russians

Bangladeshis

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

Bangladeshi Integration in German Russian Communities

The statistical analysis conducted on geographies consisting of 61,843,604 people shows a strong positive correlation between the proportion of Bangladeshis within German Russian communities in the United States with a correlation coefficient (R) of 0.718. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is an increase of 0.787% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to an increase of 787.4 Bangladeshis.
German Russian Integration in Bangladeshi Communities

German Russian vs Bangladeshi Income

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

German Russian vs Bangladeshi Poverty

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

German Russian vs Bangladeshi Unemployment

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

German Russian vs Bangladeshi Labor Participation

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

German Russian vs Bangladeshi Family Structure

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

German Russian vs Bangladeshi Vehicle Availability

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

German Russian vs Bangladeshi Education Level

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

German Russian vs Bangladeshi Disability

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