Indian (Asian) vs Soviet Union Community Comparison

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Indian (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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indians (Asian)

Soviet Union

Good
Good
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK

Soviet Union Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 43,441,009 people shows no correlation between the proportion of Soviet Union within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.017. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.000% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.2 Soviet Union.
Indian (Asian) Integration in Soviet Union Communities

Indian (Asian) vs Soviet Union Income

When considering income, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in householder income over 65 years ($70,238 compared to $62,848, a difference of 11.8%), median household income ($105,262 compared to $95,098, a difference of 10.7%), and householder income ages 25 - 44 years ($119,496 compared to $108,457, a difference of 10.2%). Conversely, both communities are more comparable in terms of median female earnings ($46,481 compared to $46,556, a difference of 0.16%), per capita income ($53,874 compared to $54,202, a difference of 0.61%), and median earnings ($56,253 compared to $54,290, a difference of 3.6%).
Indian (Asian) vs Soviet Union Income
Income MetricIndian (Asian)Soviet Union
Per Capita Income
Exceptional
$53,874
Exceptional
$54,202
Median Family Income
Exceptional
$125,312
Exceptional
$119,262
Median Household Income
Exceptional
$105,262
Exceptional
$95,098
Median Earnings
Exceptional
$56,253
Exceptional
$54,290
Median Male Earnings
Exceptional
$66,078
Exceptional
$63,382
Median Female Earnings
Exceptional
$46,481
Exceptional
$46,556
Householder Age | Under 25 years
Exceptional
$58,239
Exceptional
$55,340
Householder Age | 25 - 44 years
Exceptional
$119,496
Exceptional
$108,457
Householder Age | 45 - 64 years
Exceptional
$122,343
Exceptional
$112,008
Householder Age | Over 65 years
Exceptional
$70,238
Excellent
$62,848
Wage/Income Gap
Poor
26.4%
Exceptional
24.2%

Indian (Asian) vs Soviet Union Poverty

When considering poverty, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in receiving food stamps (9.6% compared to 11.1%, a difference of 15.1%), seniors poverty over the age of 75 (12.7% compared to 14.5%, a difference of 13.5%), and seniors poverty over the age of 65 (11.1% compared to 12.6%, a difference of 13.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.5%, a difference of 0.53%), married-couple family poverty (4.8% compared to 4.9%, a difference of 1.1%), and single male poverty (11.3% compared to 11.5%, a difference of 1.9%).
Indian (Asian) vs Soviet Union Poverty
Poverty MetricIndian (Asian)Soviet Union
Poverty
Exceptional
11.3%
Excellent
11.7%
Families
Exceptional
7.7%
Exceptional
8.3%
Males
Exceptional
10.4%
Good
11.1%
Females
Exceptional
12.2%
Exceptional
12.6%
Females 18 to 24 years
Excellent
19.6%
Exceptional
19.5%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
12.1%
Children Under 5 years
Exceptional
13.4%
Exceptional
14.7%
Children Under 16 years
Exceptional
13.1%
Exceptional
14.5%
Boys Under 16 years
Exceptional
13.3%
Exceptional
14.5%
Girls Under 16 years
Exceptional
13.3%
Exceptional
14.8%
Single Males
Exceptional
11.3%
Exceptional
11.5%
Single Females
Exceptional
17.9%
Exceptional
19.6%
Single Fathers
Exceptional
14.8%
Exceptional
14.3%
Single Mothers
Exceptional
25.8%
Exceptional
27.3%
Married Couples
Exceptional
4.8%
Exceptional
4.9%
Seniors Over 65 years
Fair
11.1%
Tragic
12.6%
Seniors Over 75 years
Tragic
12.7%
Tragic
14.5%
Receiving Food Stamps
Exceptional
9.6%
Excellent
11.1%

Indian (Asian) vs Soviet Union Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 6.6%, a difference of 19.8%), unemployment among ages 20 to 24 years (10.3% compared to 11.7%, a difference of 14.5%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 7.1%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.49%), unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.68%), and unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 1.2%).
Indian (Asian) vs Soviet Union Unemployment
Unemployment MetricIndian (Asian)Soviet Union
Unemployment
Excellent
5.1%
Poor
5.4%
Males
Good
5.2%
Tragic
5.6%
Females
Excellent
5.1%
Fair
5.4%
Youth < 25
Good
11.5%
Tragic
12.2%
Age | 16 to 19 years
Good
17.3%
Exceptional
16.8%
Age | 20 to 24 years
Good
10.3%
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
Good
4.5%
Tragic
4.7%
Age | 55 to 59 years
Tragic
4.9%
Tragic
5.1%
Age | 60 to 64 years
Tragic
5.0%
Tragic
5.4%
Age | 65 to 74 years
Average
5.3%
Fair
5.4%
Seniors > 65
Average
5.2%
Exceptional
5.1%
Seniors > 75
Exceptional
8.0%
Exceptional
6.6%
Women w/ Children < 6
Exceptional
6.3%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
7.1%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Indian (Asian) vs Soviet Union Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 31.4%, a difference of 1.4%), in labor force | age > 16 (65.5% compared to 65.0%, a difference of 0.71%), and in labor force | age 25-29 (84.7% compared to 85.3%, a difference of 0.69%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.5%, a difference of 0.10%), in labor force | age 35-44 (84.8% compared to 85.1%, a difference of 0.34%), and in labor force | age 45-54 (83.3% compared to 83.0%, a difference of 0.41%).
Indian (Asian) vs Soviet Union Labor Participation
Labor Participation MetricIndian (Asian)Soviet Union
In Labor Force | Age > 16
Excellent
65.5%
Average
65.0%
In Labor Force | Age 20-64
Excellent
79.9%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
31.9%
Tragic
31.4%
In Labor Force | Age 20-24
Tragic
71.9%
Tragic
72.3%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
85.3%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.5%
In Labor Force | Age 35-44
Exceptional
84.8%
Exceptional
85.1%
In Labor Force | Age 45-54
Exceptional
83.3%
Good
83.0%

Indian (Asian) vs Soviet Union Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in family households with children (27.6% compared to 24.8%, a difference of 11.0%), divorced or separated (10.2% compared to 11.1%, a difference of 9.3%), and married-couple households (48.7% compared to 44.6%, a difference of 9.1%). Conversely, both communities are more comparable in terms of single mother households (5.1% compared to 5.1%, a difference of 0.21%), currently married (48.0% compared to 46.2%, a difference of 3.9%), and births to unmarried women (25.3% compared to 26.3%, a difference of 4.1%).
Indian (Asian) vs Soviet Union Family Structure
Family Structure MetricIndian (Asian)Soviet Union
Family Households
Exceptional
65.1%
Tragic
60.9%
Family Households with Children
Good
27.6%
Tragic
24.8%
Married-couple Households
Exceptional
48.7%
Tragic
44.6%
Average Family Size
Good
3.24
Tragic
3.11
Single Father Households
Exceptional
1.9%
Exceptional
1.8%
Single Mother Households
Exceptional
5.1%
Exceptional
5.1%
Currently Married
Exceptional
48.0%
Fair
46.2%
Divorced or Separated
Exceptional
10.2%
Exceptional
11.1%
Births to Unmarried Women
Exceptional
25.3%
Exceptional
26.3%

Indian (Asian) vs Soviet Union Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 4.4%, a difference of 45.4%), 3 or more vehicles in household (19.1% compared to 14.2%, a difference of 34.8%), and no vehicles in household (14.1% compared to 17.4%, a difference of 23.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 82.7%, a difference of 4.1%), 2 or more vehicles in household (53.1% compared to 45.7%, a difference of 16.1%), and no vehicles in household (14.1% compared to 17.4%, a difference of 23.9%).
Indian (Asian) vs Soviet Union Vehicle Availability
Vehicle Availability MetricIndian (Asian)Soviet Union
No Vehicles Available
Tragic
14.1%
Tragic
17.4%
1+ Vehicles Available
Tragic
86.0%
Tragic
82.7%
2+ Vehicles Available
Tragic
53.1%
Tragic
45.7%
3+ Vehicles Available
Fair
19.1%
Tragic
14.2%
4+ Vehicles Available
Good
6.4%
Tragic
4.4%

Indian (Asian) vs Soviet Union Education Level

When considering education level, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in no schooling completed (2.5% compared to 2.0%, a difference of 23.4%), doctorate degree (2.9% compared to 2.5%, a difference of 17.3%), and high school diploma (89.6% compared to 90.9%, a difference of 1.5%). Conversely, both communities are more comparable in terms of master's degree (20.5% compared to 20.5%, a difference of 0.37%), nursery school (97.6% compared to 98.0%, a difference of 0.42%), and kindergarten (97.6% compared to 98.0%, a difference of 0.42%).
Indian (Asian) vs Soviet Union Education Level
Education Level MetricIndian (Asian)Soviet Union
No Schooling Completed
Tragic
2.5%
Good
2.0%
Nursery School
Tragic
97.6%
Good
98.0%
Kindergarten
Tragic
97.6%
Good
98.0%
1st Grade
Tragic
97.5%
Good
98.0%
2nd Grade
Tragic
97.5%
Good
97.9%
3rd Grade
Tragic
97.4%
Good
97.8%
4th Grade
Tragic
97.2%
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
Poor
93.4%
Exceptional
94.6%
11th Grade
Average
92.5%
Exceptional
93.7%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.7%
High School Diploma
Good
89.6%
Exceptional
90.9%
GED/Equivalency
Exceptional
87.1%
Exceptional
88.0%
College, Under 1 year
Exceptional
70.8%
Exceptional
71.1%
College, 1 year or more
Exceptional
66.1%
Exceptional
66.4%
Associate's Degree
Exceptional
54.8%
Exceptional
55.1%
Bachelor's Degree
Exceptional
47.4%
Exceptional
47.9%
Master's Degree
Exceptional
20.5%
Exceptional
20.5%
Professional Degree
Exceptional
6.5%
Exceptional
6.6%
Doctorate Degree
Exceptional
2.9%
Exceptional
2.5%

Indian (Asian) vs Soviet Union Disability

When considering disability, the most significant differences between Indian (Asian) and Soviet Union communities in the United States are seen in vision disability (1.8% compared to 2.0%, a difference of 10.3%), disability age 5 to 17 (4.6% compared to 5.0%, a difference of 8.9%), and female disability (10.8% compared to 11.7%, a difference of 8.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.2%, a difference of 0.73%), cognitive disability (16.8% compared to 16.5%, a difference of 2.0%), and disability age 65 to 74 (20.5% compared to 21.0%, a difference of 2.1%).
Indian (Asian) vs Soviet Union Disability
Disability MetricIndian (Asian)Soviet Union
Disability
Exceptional
10.3%
Exceptional
10.9%
Males
Exceptional
9.7%
Exceptional
10.1%
Females
Exceptional
10.8%
Exceptional
11.7%
Age | Under 5 years
Exceptional
1.0%
Exceptional
0.95%
Age | 5 to 17 years
Exceptional
4.6%
Exceptional
5.0%
Age | 18 to 34 years
Exceptional
5.5%
Exceptional
5.7%
Age | 35 to 64 years
Exceptional
8.9%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
20.5%
Exceptional
21.0%
Age | Over 75 years
Exceptional
46.5%
Exceptional
46.2%
Vision
Exceptional
1.8%
Exceptional
2.0%
Hearing
Exceptional
2.7%
Excellent
2.9%
Cognitive
Exceptional
16.8%
Exceptional
16.5%
Ambulatory
Exceptional
5.4%
Exceptional
5.8%
Self-Care
Exceptional
2.3%
Fair
2.5%