Asian vs Soviet Union Community Comparison

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Asian
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/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 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

Asians

Soviet Union

Excellent
Good
8,712
SOCIAL INDEX
84.6/ 100
SOCIAL RATING
56th/ 347
SOCIAL RANK
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK

Soviet Union Integration in Asian Communities

The statistical analysis conducted on geographies consisting of 43,483,604 people shows a poor positive correlation between the proportion of Soviet Union within Asian communities in the United States with a correlation coefficient (R) of 0.140. On average, for every 1% (one percent) increase in Asians within a typical geography, there is an increase of 0.001% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to an increase of 0.7 Soviet Union.
Asian Integration in Soviet Union Communities

Asian vs Soviet Union Income

When considering income, the most significant differences between Asian and Soviet Union communities in the United States are seen in wage/income gap (26.9% compared to 24.2%, a difference of 11.2%), householder income over 65 years ($68,822 compared to $62,848, a difference of 9.5%), and per capita income ($50,057 compared to $54,202, a difference of 8.3%). Conversely, both communities are more comparable in terms of median family income ($119,955 compared to $119,262, a difference of 0.58%), median male earnings ($63,827 compared to $63,382, a difference of 0.70%), and median earnings ($53,690 compared to $54,290, a difference of 1.1%).
Asian vs Soviet Union Income
Income MetricAsianSoviet Union
Per Capita Income
Exceptional
$50,057
Exceptional
$54,202
Median Family Income
Exceptional
$119,955
Exceptional
$119,262
Median Household Income
Exceptional
$101,681
Exceptional
$95,098
Median Earnings
Exceptional
$53,690
Exceptional
$54,290
Median Male Earnings
Exceptional
$63,827
Exceptional
$63,382
Median Female Earnings
Exceptional
$44,586
Exceptional
$46,556
Householder Age | Under 25 years
Exceptional
$57,003
Exceptional
$55,340
Householder Age | 25 - 44 years
Exceptional
$112,666
Exceptional
$108,457
Householder Age | 45 - 64 years
Exceptional
$118,426
Exceptional
$112,008
Householder Age | Over 65 years
Exceptional
$68,822
Excellent
$62,848
Wage/Income Gap
Tragic
26.9%
Exceptional
24.2%

Asian vs Soviet Union Poverty

When considering poverty, the most significant differences between Asian and Soviet Union communities in the United States are seen in seniors poverty over the age of 65 (10.4% compared to 12.6%, a difference of 20.6%), seniors poverty over the age of 75 (12.0% compared to 14.5%, a difference of 20.4%), and receiving food stamps (9.7% compared to 11.1%, a difference of 14.4%). Conversely, both communities are more comparable in terms of single father poverty (14.6% compared to 14.3%, a difference of 2.2%), single male poverty (11.2% compared to 11.5%, a difference of 2.4%), and married-couple family poverty (4.7% compared to 4.9%, a difference of 4.6%).
Asian vs Soviet Union Poverty
Poverty MetricAsianSoviet Union
Poverty
Exceptional
11.0%
Excellent
11.7%
Families
Exceptional
7.7%
Exceptional
8.3%
Males
Exceptional
10.0%
Good
11.1%
Females
Exceptional
11.9%
Exceptional
12.6%
Females 18 to 24 years
Exceptional
18.2%
Exceptional
19.5%
Females 25 to 34 years
Exceptional
11.4%
Exceptional
12.1%
Children Under 5 years
Exceptional
14.0%
Exceptional
14.7%
Children Under 16 years
Exceptional
13.5%
Exceptional
14.5%
Boys Under 16 years
Exceptional
13.5%
Exceptional
14.5%
Girls Under 16 years
Exceptional
13.7%
Exceptional
14.8%
Single Males
Exceptional
11.2%
Exceptional
11.5%
Single Females
Exceptional
18.3%
Exceptional
19.6%
Single Fathers
Exceptional
14.6%
Exceptional
14.3%
Single Mothers
Exceptional
26.0%
Exceptional
27.3%
Married Couples
Exceptional
4.7%
Exceptional
4.9%
Seniors Over 65 years
Excellent
10.4%
Tragic
12.6%
Seniors Over 75 years
Good
12.0%
Tragic
14.5%
Receiving Food Stamps
Exceptional
9.7%
Excellent
11.1%

Asian vs Soviet Union Unemployment

When considering unemployment, the most significant differences between Asian and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 6.6%, a difference of 24.1%), unemployment among ages 20 to 24 years (10.2% compared to 11.7%, a difference of 15.2%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 7.1%, a difference of 12.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.14%), unemployment among ages 16 to 19 years (16.9% compared to 16.8%, a difference of 0.55%), and unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 1.6%).
Asian vs Soviet Union Unemployment
Unemployment MetricAsianSoviet Union
Unemployment
Excellent
5.1%
Poor
5.4%
Males
Exceptional
5.1%
Tragic
5.6%
Females
Good
5.2%
Fair
5.4%
Youth < 25
Good
11.4%
Tragic
12.2%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.8%
Age | 20 to 24 years
Good
10.2%
Tragic
11.7%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.0%
Age | 35 to 44 years
Exceptional
4.4%
Poor
4.8%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
5.1%
Age | 60 to 64 years
Average
4.9%
Tragic
5.4%
Age | 65 to 74 years
Exceptional
5.3%
Fair
5.4%
Seniors > 65
Excellent
5.1%
Exceptional
5.1%
Seniors > 75
Exceptional
8.3%
Exceptional
6.6%
Women w/ Children < 6
Exceptional
6.7%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.1%
Women w/ Children < 18
Exceptional
5.1%
Exceptional
4.9%

Asian vs Soviet Union Labor Participation

When considering labor participation, the most significant differences between Asian and Soviet Union communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 31.4%, a difference of 8.4%), in labor force | age 20-24 (73.7% compared to 72.3%, a difference of 1.9%), and in labor force | age > 16 (66.2% compared to 65.0%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.2%, a difference of 0.090%), in labor force | age 30-34 (85.1% compared to 85.5%, a difference of 0.44%), and in labor force | age 35-44 (84.7% compared to 85.1%, a difference of 0.49%).
Asian vs Soviet Union Labor Participation
Labor Participation MetricAsianSoviet Union
In Labor Force | Age > 16
Exceptional
66.2%
Average
65.0%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
34.1%
Tragic
31.4%
In Labor Force | Age 20-24
Tragic
73.7%
Tragic
72.3%
In Labor Force | Age 25-29
Good
84.8%
Exceptional
85.3%
In Labor Force | Age 30-34
Exceptional
85.1%
Exceptional
85.5%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.1%
In Labor Force | Age 45-54
Exceptional
83.4%
Good
83.0%

Asian vs Soviet Union Family Structure

When considering family structure, the most significant differences between Asian and Soviet Union communities in the United States are seen in single father households (2.1% compared to 1.8%, a difference of 17.0%), family households with children (29.1% compared to 24.8%, a difference of 16.9%), and married-couple households (49.5% compared to 44.6%, a difference of 10.8%). Conversely, both communities are more comparable in terms of births to unmarried women (26.8% compared to 26.3%, a difference of 1.8%), divorced or separated (10.6% compared to 11.1%, a difference of 4.8%), and currently married (48.4% compared to 46.2%, a difference of 4.8%).
Asian vs Soviet Union Family Structure
Family Structure MetricAsianSoviet Union
Family Households
Exceptional
66.5%
Tragic
60.9%
Family Households with Children
Exceptional
29.1%
Tragic
24.8%
Married-couple Households
Exceptional
49.5%
Tragic
44.6%
Average Family Size
Exceptional
3.28
Tragic
3.11
Single Father Households
Exceptional
2.1%
Exceptional
1.8%
Single Mother Households
Exceptional
5.6%
Exceptional
5.1%
Currently Married
Exceptional
48.4%
Fair
46.2%
Divorced or Separated
Exceptional
10.6%
Exceptional
11.1%
Births to Unmarried Women
Exceptional
26.8%
Exceptional
26.3%

Asian vs Soviet Union Vehicle Availability

When considering vehicle availability, the most significant differences between Asian and Soviet Union communities in the United States are seen in no vehicles in household (9.0% compared to 17.4%, a difference of 94.2%), 4 or more vehicles in household (7.0% compared to 4.4%, a difference of 58.4%), and 3 or more vehicles in household (20.8% compared to 14.2%, a difference of 46.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 82.7%, a difference of 10.2%), 2 or more vehicles in household (57.0% compared to 45.7%, a difference of 24.6%), and 3 or more vehicles in household (20.8% compared to 14.2%, a difference of 46.4%).
Asian vs Soviet Union Vehicle Availability
Vehicle Availability MetricAsianSoviet Union
No Vehicles Available
Exceptional
9.0%
Tragic
17.4%
1+ Vehicles Available
Exceptional
91.1%
Tragic
82.7%
2+ Vehicles Available
Exceptional
57.0%
Tragic
45.7%
3+ Vehicles Available
Exceptional
20.8%
Tragic
14.2%
4+ Vehicles Available
Exceptional
7.0%
Tragic
4.4%

Asian vs Soviet Union Education Level

When considering education level, the most significant differences between Asian and Soviet Union communities in the United States are seen in no schooling completed (2.4% compared to 2.0%, a difference of 19.6%), professional degree (5.5% compared to 6.6%, a difference of 19.2%), and master's degree (18.4% compared to 20.5%, a difference of 11.3%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.0%, a difference of 0.41%), kindergarten (97.6% compared to 98.0%, a difference of 0.41%), and 1st grade (97.6% compared to 98.0%, a difference of 0.41%).
Asian vs Soviet Union Education Level
Education Level MetricAsianSoviet Union
No Schooling Completed
Tragic
2.4%
Good
2.0%
Nursery School
Tragic
97.6%
Good
98.0%
Kindergarten
Tragic
97.6%
Good
98.0%
1st Grade
Tragic
97.6%
Good
98.0%
2nd Grade
Tragic
97.5%
Good
97.9%
3rd Grade
Tragic
97.4%
Good
97.8%
4th Grade
Tragic
97.1%
Good
97.6%
5th Grade
Tragic
96.9%
Excellent
97.5%
6th Grade
Tragic
96.6%
Good
97.2%
7th Grade
Tragic
95.5%
Exceptional
96.4%
8th Grade
Tragic
95.2%
Exceptional
96.1%
9th Grade
Tragic
94.5%
Exceptional
95.4%
10th Grade
Fair
93.5%
Exceptional
94.6%
11th Grade
Average
92.5%
Exceptional
93.7%
12th Grade, No Diploma
Good
91.4%
Exceptional
92.7%
High School Diploma
Good
89.4%
Exceptional
90.9%
GED/Equivalency
Exceptional
86.7%
Exceptional
88.0%
College, Under 1 year
Exceptional
69.4%
Exceptional
71.1%
College, 1 year or more
Exceptional
64.2%
Exceptional
66.4%
Associate's Degree
Exceptional
52.1%
Exceptional
55.1%
Bachelor's Degree
Exceptional
44.4%
Exceptional
47.9%
Master's Degree
Exceptional
18.4%
Exceptional
20.5%
Professional Degree
Exceptional
5.5%
Exceptional
6.6%
Doctorate Degree
Exceptional
2.4%
Exceptional
2.5%

Asian vs Soviet Union Disability

When considering disability, the most significant differences between Asian and Soviet Union communities in the United States are seen in disability age under 5 (1.1% compared to 0.95%, a difference of 14.7%), self-care disability (2.3% compared to 2.5%, a difference of 7.6%), and female disability (10.9% compared to 11.7%, a difference of 7.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.5%, a difference of 1.4%), disability age 35 to 64 (9.4% compared to 9.2%, a difference of 1.5%), and male disability (10.0% compared to 10.1%, a difference of 1.5%).
Asian vs Soviet Union Disability
Disability MetricAsianSoviet Union
Disability
Exceptional
10.4%
Exceptional
10.9%
Males
Exceptional
10.0%
Exceptional
10.1%
Females
Exceptional
10.9%
Exceptional
11.7%
Age | Under 5 years
Exceptional
1.1%
Exceptional
0.95%
Age | 5 to 17 years
Exceptional
4.8%
Exceptional
5.0%
Age | 18 to 34 years
Exceptional
5.8%
Exceptional
5.7%
Age | 35 to 64 years
Exceptional
9.4%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
21.4%
Exceptional
21.0%
Age | Over 75 years
Excellent
46.9%
Exceptional
46.2%
Vision
Exceptional
1.9%
Exceptional
2.0%
Hearing
Exceptional
2.7%
Excellent
2.9%
Cognitive
Exceptional
16.7%
Exceptional
16.5%
Ambulatory
Exceptional
5.4%
Exceptional
5.8%
Self-Care
Exceptional
2.3%
Fair
2.5%