Bangladeshi vs Soviet Union Community Comparison

COMPARE

Bangladeshi
Race
Ancestry
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Soviet Union
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

Soviet Union

Fair
Good
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK

Soviet Union Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 34,506,293 people shows a near-perfect positive correlation between the proportion of Soviet Union within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.941. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.383% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 382.8 Soviet Union.
Bangladeshi Integration in Soviet Union Communities

Bangladeshi vs Soviet Union Income

When considering income, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in per capita income ($35,897 compared to $54,202, a difference of 51.0%), median male earnings ($46,744 compared to $63,382, a difference of 35.6%), and median family income ($88,358 compared to $119,262, a difference of 35.0%). Conversely, both communities are more comparable in terms of wage/income gap (22.2% compared to 24.2%, a difference of 9.2%), householder income over 65 years ($54,719 compared to $62,848, a difference of 14.9%), and householder income under 25 years ($47,589 compared to $55,340, a difference of 16.3%).
Bangladeshi vs Soviet Union Income
Income MetricBangladeshiSoviet Union
Per Capita Income
Tragic
$35,897
Exceptional
$54,202
Median Family Income
Tragic
$88,358
Exceptional
$119,262
Median Household Income
Tragic
$74,112
Exceptional
$95,098
Median Earnings
Tragic
$41,263
Exceptional
$54,290
Median Male Earnings
Tragic
$46,744
Exceptional
$63,382
Median Female Earnings
Tragic
$35,960
Exceptional
$46,556
Householder Age | Under 25 years
Tragic
$47,589
Exceptional
$55,340
Householder Age | 25 - 44 years
Tragic
$81,363
Exceptional
$108,457
Householder Age | 45 - 64 years
Tragic
$86,402
Exceptional
$112,008
Householder Age | Over 65 years
Tragic
$54,719
Excellent
$62,848
Wage/Income Gap
Exceptional
22.2%
Exceptional
24.2%

Bangladeshi vs Soviet Union Poverty

When considering poverty, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in child poverty under the age of 5 (20.6% compared to 14.7%, a difference of 40.5%), child poverty among boys under 16 (20.0% compared to 14.5%, a difference of 37.9%), and child poverty under the age of 16 (19.9% compared to 14.5%, a difference of 37.3%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 14.3%, a difference of 6.6%), seniors poverty over the age of 65 (11.2% compared to 12.6%, a difference of 12.1%), and female poverty among 18-24 year olds (22.5% compared to 19.5%, a difference of 15.2%).
Bangladeshi vs Soviet Union Poverty
Poverty MetricBangladeshiSoviet Union
Poverty
Tragic
14.8%
Excellent
11.7%
Families
Tragic
10.9%
Exceptional
8.3%
Males
Tragic
13.6%
Good
11.1%
Females
Tragic
16.0%
Exceptional
12.6%
Females 18 to 24 years
Tragic
22.5%
Exceptional
19.5%
Females 25 to 34 years
Tragic
15.9%
Exceptional
12.1%
Children Under 5 years
Tragic
20.6%
Exceptional
14.7%
Children Under 16 years
Tragic
19.9%
Exceptional
14.5%
Boys Under 16 years
Tragic
20.0%
Exceptional
14.5%
Girls Under 16 years
Tragic
20.0%
Exceptional
14.8%
Single Males
Tragic
13.3%
Exceptional
11.5%
Single Females
Tragic
24.2%
Exceptional
19.6%
Single Fathers
Exceptional
15.2%
Exceptional
14.3%
Single Mothers
Tragic
31.7%
Exceptional
27.3%
Married Couples
Tragic
6.0%
Exceptional
4.9%
Seniors Over 65 years
Fair
11.2%
Tragic
12.6%
Seniors Over 75 years
Good
12.0%
Tragic
14.5%
Receiving Food Stamps
Tragic
15.0%
Excellent
11.1%

Bangladeshi vs Soviet Union Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (9.6% compared to 6.6%, a difference of 44.5%), unemployment among ages 60 to 64 years (4.6% compared to 5.4%, a difference of 18.3%), and unemployment among ages 20 to 24 years (10.0% compared to 11.7%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment (5.4% compared to 5.4%, a difference of 0.080%), unemployment among ages 16 to 19 years (16.9% compared to 16.8%, a difference of 0.82%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.89%).
Bangladeshi vs Soviet Union Unemployment
Unemployment MetricBangladeshiSoviet Union
Unemployment
Poor
5.4%
Poor
5.4%
Males
Tragic
5.7%
Tragic
5.6%
Females
Good
5.2%
Fair
5.4%
Youth < 25
Average
11.6%
Tragic
12.2%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.8%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
11.7%
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%
Poor
4.8%
Age | 45 to 54 years
Average
4.5%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.1%
Age | 60 to 64 years
Exceptional
4.6%
Tragic
5.4%
Age | 65 to 74 years
Good
5.3%
Fair
5.4%
Seniors > 65
Fair
5.2%
Exceptional
5.1%
Seniors > 75
Tragic
9.6%
Exceptional
6.6%
Women w/ Children < 6
Good
7.5%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
7.1%
Women w/ Children < 18
Good
5.3%
Exceptional
4.9%

Bangladeshi vs Soviet Union Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 31.4%, a difference of 35.2%), in labor force | age 20-24 (78.1% compared to 72.3%, a difference of 8.1%), and in labor force | age 45-54 (81.3% compared to 83.0%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.3%, a difference of 0.27%), in labor force | age 35-44 (84.1% compared to 85.1%, a difference of 1.2%), and in labor force | age 20-64 (79.3% compared to 80.2%, a difference of 1.2%).
Bangladeshi vs Soviet Union Labor Participation
Labor Participation MetricBangladeshiSoviet Union
In Labor Force | Age > 16
Exceptional
65.9%
Average
65.0%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
31.4%
In Labor Force | Age 20-24
Exceptional
78.1%
Tragic
72.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.3%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.5%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
85.1%
In Labor Force | Age 45-54
Tragic
81.3%
Good
83.0%

Bangladeshi vs Soviet Union Family Structure

When considering family structure, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in single father households (3.1% compared to 1.8%, a difference of 71.1%), single mother households (8.1% compared to 5.1%, a difference of 59.1%), and births to unmarried women (34.4% compared to 26.3%, a difference of 30.8%). Conversely, both communities are more comparable in terms of married-couple households (43.5% compared to 44.6%, a difference of 2.5%), family households (64.3% compared to 60.9%, a difference of 5.5%), and currently married (43.7% compared to 46.2%, a difference of 5.7%).
Bangladeshi vs Soviet Union Family Structure
Family Structure MetricBangladeshiSoviet Union
Family Households
Average
64.3%
Tragic
60.9%
Family Households with Children
Exceptional
30.1%
Tragic
24.8%
Married-couple Households
Tragic
43.5%
Tragic
44.6%
Average Family Size
Exceptional
3.37
Tragic
3.11
Single Father Households
Tragic
3.1%
Exceptional
1.8%
Single Mother Households
Tragic
8.1%
Exceptional
5.1%
Currently Married
Tragic
43.7%
Fair
46.2%
Divorced or Separated
Poor
12.3%
Exceptional
11.1%
Births to Unmarried Women
Tragic
34.4%
Exceptional
26.3%

Bangladeshi vs Soviet Union Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in no vehicles in household (8.7% compared to 17.4%, a difference of 101.2%), 4 or more vehicles in household (7.6% compared to 4.4%, a difference of 70.6%), and 3 or more vehicles in household (21.9% compared to 14.2%, a difference of 54.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 82.7%, a difference of 10.5%), 2 or more vehicles in household (58.4% compared to 45.7%, a difference of 27.7%), and 3 or more vehicles in household (21.9% compared to 14.2%, a difference of 54.2%).
Bangladeshi vs Soviet Union Vehicle Availability
Vehicle Availability MetricBangladeshiSoviet Union
No Vehicles Available
Exceptional
8.7%
Tragic
17.4%
1+ Vehicles Available
Exceptional
91.4%
Tragic
82.7%
2+ Vehicles Available
Exceptional
58.4%
Tragic
45.7%
3+ Vehicles Available
Exceptional
21.9%
Tragic
14.2%
4+ Vehicles Available
Exceptional
7.6%
Tragic
4.4%

Bangladeshi vs Soviet Union Education Level

When considering education level, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in professional degree (3.1% compared to 6.6%, a difference of 112.5%), doctorate degree (1.2% compared to 2.5%, a difference of 104.9%), and master's degree (10.5% compared to 20.5%, a difference of 95.9%). Conversely, both communities are more comparable in terms of kindergarten (96.6% compared to 98.0%, a difference of 1.5%), 1st grade (96.5% compared to 98.0%, a difference of 1.5%), and nursery school (96.6% compared to 98.0%, a difference of 1.5%).
Bangladeshi vs Soviet Union Education Level
Education Level MetricBangladeshiSoviet Union
No Schooling Completed
Tragic
3.5%
Good
2.0%
Nursery School
Tragic
96.6%
Good
98.0%
Kindergarten
Tragic
96.6%
Good
98.0%
1st Grade
Tragic
96.5%
Good
98.0%
2nd Grade
Tragic
96.5%
Good
97.9%
3rd Grade
Tragic
96.3%
Good
97.8%
4th Grade
Tragic
96.1%
Good
97.6%
5th Grade
Tragic
95.9%
Excellent
97.5%
6th Grade
Tragic
95.7%
Good
97.2%
7th Grade
Tragic
94.5%
Exceptional
96.4%
8th Grade
Tragic
94.3%
Exceptional
96.1%
9th Grade
Tragic
93.4%
Exceptional
95.4%
10th Grade
Tragic
92.2%
Exceptional
94.6%
11th Grade
Tragic
90.9%
Exceptional
93.7%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
92.7%
High School Diploma
Tragic
86.9%
Exceptional
90.9%
GED/Equivalency
Tragic
83.1%
Exceptional
88.0%
College, Under 1 year
Tragic
61.4%
Exceptional
71.1%
College, 1 year or more
Tragic
54.5%
Exceptional
66.4%
Associate's Degree
Tragic
40.0%
Exceptional
55.1%
Bachelor's Degree
Tragic
30.2%
Exceptional
47.9%
Master's Degree
Tragic
10.5%
Exceptional
20.5%
Professional Degree
Tragic
3.1%
Exceptional
6.6%
Doctorate Degree
Tragic
1.2%
Exceptional
2.5%

Bangladeshi vs Soviet Union Disability

When considering disability, the most significant differences between Bangladeshi and Soviet Union communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.2%, a difference of 47.3%), disability age under 5 (1.3% compared to 0.95%, a difference of 36.1%), and disability age 18 to 34 (7.4% compared to 5.7%, a difference of 28.4%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 46.2%, a difference of 7.0%), ambulatory disability (6.3% compared to 5.8%, a difference of 8.9%), and hearing disability (3.2% compared to 2.9%, a difference of 10.1%).
Bangladeshi vs Soviet Union Disability
Disability MetricBangladeshiSoviet Union
Disability
Tragic
12.6%
Exceptional
10.9%
Males
Tragic
12.0%
Exceptional
10.1%
Females
Tragic
13.1%
Exceptional
11.7%
Age | Under 5 years
Poor
1.3%
Exceptional
0.95%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.0%
Age | 18 to 34 years
Tragic
7.4%
Exceptional
5.7%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
9.2%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
21.0%
Age | Over 75 years
Tragic
49.4%
Exceptional
46.2%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.2%
Excellent
2.9%
Cognitive
Tragic
18.6%
Exceptional
16.5%
Ambulatory
Poor
6.3%
Exceptional
5.8%
Self-Care
Tragic
2.8%
Fair
2.5%