Soviet Union vs African Community Comparison

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Soviet Union
Race
Ancestry
AfghanAlaska 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
African
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

Africans

Good
Tragic
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK
624
SOCIAL INDEX
3.8/ 100
SOCIAL RATING
341st/ 347
SOCIAL RANK

African Integration in Soviet Union Communities

The statistical analysis conducted on geographies consisting of 42,857,411 people shows a poor positive correlation between the proportion of Africans within Soviet Union communities in the United States with a correlation coefficient (R) of 0.108. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is an increase of 0.391% in Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to an increase of 390.7 Africans.
Soviet Union Integration in African Communities

Soviet Union vs African Income

When considering income, the most significant differences between Soviet Union and African communities in the United States are seen in per capita income ($54,202 compared to $37,785, a difference of 43.4%), householder income ages 25 - 44 years ($108,457 compared to $78,986, a difference of 37.3%), and median family income ($119,262 compared to $87,820, a difference of 35.8%). Conversely, both communities are more comparable in terms of wage/income gap (24.2% compared to 22.9%, a difference of 5.6%), householder income over 65 years ($62,848 compared to $53,711, a difference of 17.0%), and householder income under 25 years ($55,340 compared to $46,838, a difference of 18.1%).
Soviet Union vs African Income
Income MetricSoviet UnionAfrican
Per Capita Income
Exceptional
$54,202
Tragic
$37,785
Median Family Income
Exceptional
$119,262
Tragic
$87,820
Median Household Income
Exceptional
$95,098
Tragic
$72,650
Median Earnings
Exceptional
$54,290
Tragic
$41,955
Median Male Earnings
Exceptional
$63,382
Tragic
$47,994
Median Female Earnings
Exceptional
$46,556
Tragic
$36,530
Householder Age | Under 25 years
Exceptional
$55,340
Tragic
$46,838
Householder Age | 25 - 44 years
Exceptional
$108,457
Tragic
$78,986
Householder Age | 45 - 64 years
Exceptional
$112,008
Tragic
$84,925
Householder Age | Over 65 years
Excellent
$62,848
Tragic
$53,711
Wage/Income Gap
Exceptional
24.2%
Exceptional
22.9%

Soviet Union vs African Poverty

When considering poverty, the most significant differences between Soviet Union and African communities in the United States are seen in child poverty under the age of 5 (14.7% compared to 22.8%, a difference of 55.4%), child poverty under the age of 16 (14.5% compared to 21.7%, a difference of 49.7%), and child poverty among boys under 16 (14.5% compared to 21.7%, a difference of 49.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (12.6% compared to 12.6%, a difference of 0.33%), seniors poverty over the age of 75 (14.5% compared to 13.6%, a difference of 6.3%), and female poverty among 18-24 year olds (19.5% compared to 22.8%, a difference of 17.1%).
Soviet Union vs African Poverty
Poverty MetricSoviet UnionAfrican
Poverty
Excellent
11.7%
Tragic
15.6%
Families
Exceptional
8.3%
Tragic
11.8%
Males
Good
11.1%
Tragic
14.2%
Females
Exceptional
12.6%
Tragic
16.9%
Females 18 to 24 years
Exceptional
19.5%
Tragic
22.8%
Females 25 to 34 years
Exceptional
12.1%
Tragic
17.0%
Children Under 5 years
Exceptional
14.7%
Tragic
22.8%
Children Under 16 years
Exceptional
14.5%
Tragic
21.7%
Boys Under 16 years
Exceptional
14.5%
Tragic
21.7%
Girls Under 16 years
Exceptional
14.8%
Tragic
21.9%
Single Males
Exceptional
11.5%
Tragic
14.7%
Single Females
Exceptional
19.6%
Tragic
24.8%
Single Fathers
Exceptional
14.3%
Tragic
18.3%
Single Mothers
Exceptional
27.3%
Tragic
33.3%
Married Couples
Exceptional
4.9%
Tragic
6.0%
Seniors Over 65 years
Tragic
12.6%
Tragic
12.6%
Seniors Over 75 years
Tragic
14.5%
Tragic
13.6%
Receiving Food Stamps
Excellent
11.1%
Tragic
15.1%

Soviet Union vs African Unemployment

When considering unemployment, the most significant differences between Soviet Union and African communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.1% compared to 10.4%, a difference of 46.8%), unemployment among women with children under 6 years (6.5% compared to 9.2%, a difference of 40.3%), and unemployment among seniors over 75 years (6.6% compared to 9.1%, a difference of 36.8%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.5%, a difference of 1.3%), unemployment among ages 55 to 59 years (5.1% compared to 5.1%, a difference of 1.3%), and unemployment among ages 20 to 24 years (11.7% compared to 11.5%, a difference of 1.7%).
Soviet Union vs African Unemployment
Unemployment MetricSoviet UnionAfrican
Unemployment
Poor
5.4%
Tragic
6.1%
Males
Tragic
5.6%
Tragic
6.3%
Females
Fair
5.4%
Tragic
5.9%
Youth < 25
Tragic
12.2%
Tragic
13.2%
Age | 16 to 19 years
Exceptional
16.8%
Tragic
19.5%
Age | 20 to 24 years
Tragic
11.7%
Tragic
11.5%
Age | 25 to 29 years
Exceptional
6.2%
Tragic
7.6%
Age | 30 to 34 years
Exceptional
5.0%
Tragic
6.4%
Age | 35 to 44 years
Poor
4.8%
Tragic
5.6%
Age | 45 to 54 years
Tragic
4.7%
Tragic
5.1%
Age | 55 to 59 years
Tragic
5.1%
Tragic
5.1%
Age | 60 to 64 years
Tragic
5.4%
Tragic
5.0%
Age | 65 to 74 years
Fair
5.4%
Poor
5.5%
Seniors > 65
Exceptional
5.1%
Poor
5.2%
Seniors > 75
Exceptional
6.6%
Tragic
9.1%
Women w/ Children < 6
Exceptional
6.5%
Tragic
9.2%
Women w/ Children 6 to 17
Exceptional
7.1%
Tragic
10.4%
Women w/ Children < 18
Exceptional
4.9%
Tragic
6.5%

Soviet Union vs African Labor Participation

When considering labor participation, the most significant differences between Soviet Union and African communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 38.0%, a difference of 20.9%), in labor force | age 20-24 (72.3% compared to 75.0%, a difference of 3.7%), and in labor force | age 45-54 (83.0% compared to 80.5%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.0% compared to 64.6%, a difference of 0.68%), in labor force | age 25-29 (85.3% compared to 83.2%, a difference of 2.5%), and in labor force | age 30-34 (85.5% compared to 83.4%, a difference of 2.5%).
Soviet Union vs African Labor Participation
Labor Participation MetricSoviet UnionAfrican
In Labor Force | Age > 16
Average
65.0%
Tragic
64.6%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
77.9%
In Labor Force | Age 16-19
Tragic
31.4%
Exceptional
38.0%
In Labor Force | Age 20-24
Tragic
72.3%
Average
75.0%
In Labor Force | Age 25-29
Exceptional
85.3%
Tragic
83.2%
In Labor Force | Age 30-34
Exceptional
85.5%
Tragic
83.4%
In Labor Force | Age 35-44
Exceptional
85.1%
Tragic
82.9%
In Labor Force | Age 45-54
Good
83.0%
Tragic
80.5%

Soviet Union vs African Family Structure

When considering family structure, the most significant differences between Soviet Union and African communities in the United States are seen in single mother households (5.1% compared to 8.2%, a difference of 59.8%), births to unmarried women (26.3% compared to 39.7%, a difference of 51.0%), and single father households (1.8% compared to 2.5%, a difference of 36.7%). Conversely, both communities are more comparable in terms of family households (60.9% compared to 62.1%, a difference of 2.0%), average family size (3.11 compared to 3.25, a difference of 4.5%), and married-couple households (44.6% compared to 40.9%, a difference of 9.0%).
Soviet Union vs African Family Structure
Family Structure MetricSoviet UnionAfrican
Family Households
Tragic
60.9%
Tragic
62.1%
Family Households with Children
Tragic
24.8%
Poor
27.2%
Married-couple Households
Tragic
44.6%
Tragic
40.9%
Average Family Size
Tragic
3.11
Excellent
3.25
Single Father Households
Exceptional
1.8%
Tragic
2.5%
Single Mother Households
Exceptional
5.1%
Tragic
8.2%
Currently Married
Fair
46.2%
Tragic
41.8%
Divorced or Separated
Exceptional
11.1%
Tragic
13.2%
Births to Unmarried Women
Exceptional
26.3%
Tragic
39.7%

Soviet Union vs African Vehicle Availability

When considering vehicle availability, the most significant differences between Soviet Union and African communities in the United States are seen in no vehicles in household (17.4% compared to 12.3%, a difference of 41.5%), 4 or more vehicles in household (4.4% compared to 5.8%, a difference of 32.0%), and 3 or more vehicles in household (14.2% compared to 18.2%, a difference of 28.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (82.7% compared to 87.8%, a difference of 6.2%), 2 or more vehicles in household (45.7% compared to 51.8%, a difference of 13.3%), and 3 or more vehicles in household (14.2% compared to 18.2%, a difference of 28.2%).
Soviet Union vs African Vehicle Availability
Vehicle Availability MetricSoviet UnionAfrican
No Vehicles Available
Tragic
17.4%
Tragic
12.3%
1+ Vehicles Available
Tragic
82.7%
Tragic
87.8%
2+ Vehicles Available
Tragic
45.7%
Tragic
51.8%
3+ Vehicles Available
Tragic
14.2%
Tragic
18.2%
4+ Vehicles Available
Tragic
4.4%
Tragic
5.8%

Soviet Union vs African Education Level

When considering education level, the most significant differences between Soviet Union and African communities in the United States are seen in professional degree (6.6% compared to 3.7%, a difference of 78.8%), master's degree (20.5% compared to 12.9%, a difference of 59.3%), and doctorate degree (2.5% compared to 1.6%, a difference of 58.2%). Conversely, both communities are more comparable in terms of 1st grade (98.0% compared to 97.8%, a difference of 0.19%), nursery school (98.0% compared to 97.9%, a difference of 0.20%), and kindergarten (98.0% compared to 97.8%, a difference of 0.20%).
Soviet Union vs African Education Level
Education Level MetricSoviet UnionAfrican
No Schooling Completed
Good
2.0%
Fair
2.2%
Nursery School
Good
98.0%
Poor
97.9%
Kindergarten
Good
98.0%
Poor
97.8%
1st Grade
Good
98.0%
Poor
97.8%
2nd Grade
Good
97.9%
Poor
97.7%
3rd Grade
Good
97.8%
Poor
97.6%
4th Grade
Good
97.6%
Poor
97.4%
5th Grade
Excellent
97.5%
Poor
97.2%
6th Grade
Good
97.2%
Poor
96.9%
7th Grade
Exceptional
96.4%
Poor
95.8%
8th Grade
Exceptional
96.1%
Poor
95.4%
9th Grade
Exceptional
95.4%
Tragic
94.5%
10th Grade
Exceptional
94.6%
Tragic
93.1%
11th Grade
Exceptional
93.7%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
89.6%
High School Diploma
Exceptional
90.9%
Tragic
87.5%
GED/Equivalency
Exceptional
88.0%
Tragic
83.4%
College, Under 1 year
Exceptional
71.1%
Tragic
61.1%
College, 1 year or more
Exceptional
66.4%
Tragic
55.0%
Associate's Degree
Exceptional
55.1%
Tragic
41.1%
Bachelor's Degree
Exceptional
47.9%
Tragic
32.9%
Master's Degree
Exceptional
20.5%
Tragic
12.9%
Professional Degree
Exceptional
6.6%
Tragic
3.7%
Doctorate Degree
Exceptional
2.5%
Tragic
1.6%

Soviet Union vs African Disability

When considering disability, the most significant differences between Soviet Union and African communities in the United States are seen in disability age 35 to 64 (9.2% compared to 13.6%, a difference of 46.8%), disability age under 5 (0.95% compared to 1.4%, a difference of 44.8%), and disability age 5 to 17 (5.0% compared to 6.5%, a difference of 30.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 48.9%, a difference of 5.8%), hearing disability (2.9% compared to 3.0%, a difference of 5.9%), and self-care disability (2.5% compared to 2.7%, a difference of 8.9%).
Soviet Union vs African Disability
Disability MetricSoviet UnionAfrican
Disability
Exceptional
10.9%
Tragic
13.0%
Males
Exceptional
10.1%
Tragic
12.6%
Females
Exceptional
11.7%
Tragic
13.4%
Age | Under 5 years
Exceptional
0.95%
Tragic
1.4%
Age | 5 to 17 years
Exceptional
5.0%
Tragic
6.5%
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
26.2%
Age | Over 75 years
Exceptional
46.2%
Tragic
48.9%
Vision
Exceptional
2.0%
Tragic
2.5%
Hearing
Excellent
2.9%
Fair
3.0%
Cognitive
Exceptional
16.5%
Tragic
18.6%
Ambulatory
Exceptional
5.8%
Tragic
7.0%
Self-Care
Fair
2.5%
Tragic
2.7%