Soviet Union vs Bangladeshi Community Comparison

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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
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 IndianSpaniardSpanishSpanish 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

Soviet Union

Bangladeshis

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

Bangladeshi Integration in Soviet Union Communities

The statistical analysis conducted on geographies consisting of 34,505,293 people shows a substantial positive correlation between the proportion of Bangladeshis within Soviet Union communities in the United States with a correlation coefficient (R) of 0.556. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is an increase of 0.260% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to an increase of 259.7 Bangladeshis.
Soviet Union Integration in Bangladeshi Communities

Soviet Union vs Bangladeshi Income

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

Soviet Union vs Bangladeshi Poverty

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

Soviet Union vs Bangladeshi Unemployment

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

Soviet Union vs Bangladeshi Labor Participation

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

Soviet Union vs Bangladeshi Family Structure

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

Soviet Union vs Bangladeshi Vehicle Availability

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

Soviet Union vs Bangladeshi Education Level

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

Soviet Union vs Bangladeshi Disability

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