Soviet Union vs Kenyan Community Comparison

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Soviet Union
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Kenyan
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

Kenyans

Good
Good
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK

Kenyan Integration in Soviet Union Communities

The statistical analysis conducted on geographies consisting of 36,505,797 people shows a mild positive correlation between the proportion of Kenyans within Soviet Union communities in the United States with a correlation coefficient (R) of 0.320. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is an increase of 0.331% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to an increase of 330.6 Kenyans.
Soviet Union Integration in Kenyan Communities

Soviet Union vs Kenyan Income

When considering income, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in per capita income ($54,202 compared to $42,808, a difference of 26.6%), householder income ages 25 - 44 years ($108,457 compared to $91,684, a difference of 18.3%), and median male earnings ($63,382 compared to $53,647, a difference of 18.1%). Conversely, both communities are more comparable in terms of wage/income gap (24.2% compared to 24.5%, a difference of 1.0%), householder income over 65 years ($62,848 compared to $60,514, a difference of 3.9%), and householder income under 25 years ($55,340 compared to $50,815, a difference of 8.9%).
Soviet Union vs Kenyan Income
Income MetricSoviet UnionKenyan
Per Capita Income
Exceptional
$54,202
Fair
$42,808
Median Family Income
Exceptional
$119,262
Fair
$101,417
Median Household Income
Exceptional
$95,098
Fair
$84,085
Median Earnings
Exceptional
$54,290
Average
$46,462
Median Male Earnings
Exceptional
$63,382
Fair
$53,647
Median Female Earnings
Exceptional
$46,556
Average
$39,860
Householder Age | Under 25 years
Exceptional
$55,340
Tragic
$50,815
Householder Age | 25 - 44 years
Exceptional
$108,457
Poor
$91,684
Householder Age | 45 - 64 years
Exceptional
$112,008
Fair
$98,970
Householder Age | Over 65 years
Excellent
$62,848
Fair
$60,514
Wage/Income Gap
Exceptional
24.2%
Exceptional
24.5%

Soviet Union vs Kenyan Poverty

When considering poverty, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in seniors poverty over the age of 75 (14.5% compared to 11.5%, a difference of 25.6%), seniors poverty over the age of 65 (12.6% compared to 10.3%, a difference of 22.3%), and child poverty under the age of 5 (14.7% compared to 17.5%, a difference of 19.3%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.9% compared to 4.8%, a difference of 1.9%), male poverty (11.1% compared to 11.3%, a difference of 2.2%), and female poverty among 18-24 year olds (19.5% compared to 20.2%, a difference of 3.3%).
Soviet Union vs Kenyan Poverty
Poverty MetricSoviet UnionKenyan
Poverty
Excellent
11.7%
Fair
12.5%
Families
Exceptional
8.3%
Average
8.9%
Males
Good
11.1%
Fair
11.3%
Females
Exceptional
12.6%
Average
13.5%
Females 18 to 24 years
Exceptional
19.5%
Average
20.2%
Females 25 to 34 years
Exceptional
12.1%
Average
13.5%
Children Under 5 years
Exceptional
14.7%
Fair
17.5%
Children Under 16 years
Exceptional
14.5%
Fair
16.5%
Boys Under 16 years
Exceptional
14.5%
Average
16.6%
Girls Under 16 years
Exceptional
14.8%
Fair
16.8%
Single Males
Exceptional
11.5%
Exceptional
12.4%
Single Females
Exceptional
19.6%
Good
20.8%
Single Fathers
Exceptional
14.3%
Exceptional
15.3%
Single Mothers
Exceptional
27.3%
Exceptional
28.4%
Married Couples
Exceptional
4.9%
Exceptional
4.8%
Seniors Over 65 years
Tragic
12.6%
Exceptional
10.3%
Seniors Over 75 years
Tragic
14.5%
Exceptional
11.5%
Receiving Food Stamps
Excellent
11.1%
Good
11.6%

Soviet Union vs Kenyan Unemployment

When considering unemployment, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in unemployment among seniors over 75 years (6.6% compared to 9.1%, a difference of 36.6%), unemployment among women with children ages 6 to 17 years (7.1% compared to 8.8%, a difference of 24.0%), and unemployment among ages 20 to 24 years (11.7% compared to 9.9%, a difference of 18.6%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 1.1%), unemployment among ages 30 to 34 years (5.0% compared to 5.2%, a difference of 3.6%), and unemployment among ages 16 to 19 years (16.8% compared to 16.1%, a difference of 4.6%).
Soviet Union vs Kenyan Unemployment
Unemployment MetricSoviet UnionKenyan
Unemployment
Poor
5.4%
Excellent
5.1%
Males
Tragic
5.6%
Good
5.2%
Females
Fair
5.4%
Exceptional
5.0%
Youth < 25
Tragic
12.2%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.8%
Exceptional
16.1%
Age | 20 to 24 years
Tragic
11.7%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.3%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.2%
Age | 35 to 44 years
Poor
4.8%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.1%
Exceptional
4.4%
Age | 60 to 64 years
Tragic
5.4%
Exceptional
4.6%
Age | 65 to 74 years
Fair
5.4%
Exceptional
4.8%
Seniors > 65
Exceptional
5.1%
Exceptional
4.7%
Seniors > 75
Exceptional
6.6%
Tragic
9.1%
Women w/ Children < 6
Exceptional
6.5%
Good
7.6%
Women w/ Children 6 to 17
Exceptional
7.1%
Excellent
8.8%
Women w/ Children < 18
Exceptional
4.9%
Excellent
5.3%

Soviet Union vs Kenyan Labor Participation

When considering labor participation, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 40.1%, a difference of 27.8%), in labor force | age 20-24 (72.3% compared to 77.0%, a difference of 6.6%), and in labor force | age > 16 (65.0% compared to 67.6%, a difference of 3.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 85.4%, a difference of 0.030%), in labor force | age 25-29 (85.3% compared to 85.4%, a difference of 0.070%), and in labor force | age 35-44 (85.1% compared to 85.2%, a difference of 0.17%).
Soviet Union vs Kenyan Labor Participation
Labor Participation MetricSoviet UnionKenyan
In Labor Force | Age > 16
Average
65.0%
Exceptional
67.6%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.8%
In Labor Force | Age 16-19
Tragic
31.4%
Exceptional
40.1%
In Labor Force | Age 20-24
Tragic
72.3%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.3%
Exceptional
85.4%
In Labor Force | Age 30-34
Exceptional
85.5%
Exceptional
85.4%
In Labor Force | Age 35-44
Exceptional
85.1%
Exceptional
85.2%
In Labor Force | Age 45-54
Good
83.0%
Exceptional
83.7%

Soviet Union vs Kenyan Family Structure

When considering family structure, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in single mother households (5.1% compared to 7.0%, a difference of 36.0%), single father households (1.8% compared to 2.4%, a difference of 32.5%), and births to unmarried women (26.3% compared to 31.9%, a difference of 21.2%). Conversely, both communities are more comparable in terms of married-couple households (44.6% compared to 44.7%, a difference of 0.090%), currently married (46.2% compared to 45.2%, a difference of 2.2%), and average family size (3.11 compared to 3.21, a difference of 3.2%).
Soviet Union vs Kenyan Family Structure
Family Structure MetricSoviet UnionKenyan
Family Households
Tragic
60.9%
Tragic
63.2%
Family Households with Children
Tragic
24.8%
Exceptional
28.4%
Married-couple Households
Tragic
44.6%
Tragic
44.7%
Average Family Size
Tragic
3.11
Fair
3.21
Single Father Households
Exceptional
1.8%
Fair
2.4%
Single Mother Households
Exceptional
5.1%
Tragic
7.0%
Currently Married
Fair
46.2%
Tragic
45.2%
Divorced or Separated
Exceptional
11.1%
Fair
12.2%
Births to Unmarried Women
Exceptional
26.3%
Average
31.9%

Soviet Union vs Kenyan Vehicle Availability

When considering vehicle availability, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in no vehicles in household (17.4% compared to 9.7%, a difference of 79.6%), 4 or more vehicles in household (4.4% compared to 6.1%, a difference of 37.5%), and 3 or more vehicles in household (14.2% compared to 19.1%, a difference of 34.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (82.7% compared to 90.4%, a difference of 9.3%), 2 or more vehicles in household (45.7% compared to 55.5%, a difference of 21.4%), and 3 or more vehicles in household (14.2% compared to 19.1%, a difference of 34.6%).
Soviet Union vs Kenyan Vehicle Availability
Vehicle Availability MetricSoviet UnionKenyan
No Vehicles Available
Tragic
17.4%
Excellent
9.7%
1+ Vehicles Available
Tragic
82.7%
Excellent
90.4%
2+ Vehicles Available
Tragic
45.7%
Average
55.5%
3+ Vehicles Available
Tragic
14.2%
Fair
19.1%
4+ Vehicles Available
Tragic
4.4%
Poor
6.1%

Soviet Union vs Kenyan Education Level

When considering education level, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in professional degree (6.6% compared to 4.4%, a difference of 49.0%), master's degree (20.5% compared to 15.3%, a difference of 33.9%), and doctorate degree (2.5% compared to 1.9%, a difference of 27.3%). Conversely, both communities are more comparable in terms of 6th grade (97.2% compared to 97.1%, a difference of 0.040%), 1st grade (98.0% compared to 97.9%, a difference of 0.060%), and 2nd grade (97.9% compared to 97.9%, a difference of 0.060%).
Soviet Union vs Kenyan Education Level
Education Level MetricSoviet UnionKenyan
No Schooling Completed
Good
2.0%
Good
2.0%
Nursery School
Good
98.0%
Average
98.0%
Kindergarten
Good
98.0%
Average
98.0%
1st Grade
Good
98.0%
Average
97.9%
2nd Grade
Good
97.9%
Average
97.9%
3rd Grade
Good
97.8%
Average
97.8%
4th Grade
Good
97.6%
Average
97.5%
5th Grade
Excellent
97.5%
Average
97.4%
6th Grade
Good
97.2%
Good
97.1%
7th Grade
Exceptional
96.4%
Good
96.2%
8th Grade
Exceptional
96.1%
Good
95.9%
9th Grade
Exceptional
95.4%
Good
95.1%
10th Grade
Exceptional
94.6%
Good
94.0%
11th Grade
Exceptional
93.7%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
92.7%
Good
91.5%
High School Diploma
Exceptional
90.9%
Excellent
89.6%
GED/Equivalency
Exceptional
88.0%
Good
86.3%
College, Under 1 year
Exceptional
71.1%
Excellent
66.5%
College, 1 year or more
Exceptional
66.4%
Good
60.5%
Associate's Degree
Exceptional
55.1%
Good
47.1%
Bachelor's Degree
Exceptional
47.9%
Good
38.7%
Master's Degree
Exceptional
20.5%
Good
15.3%
Professional Degree
Exceptional
6.6%
Average
4.4%
Doctorate Degree
Exceptional
2.5%
Excellent
1.9%

Soviet Union vs Kenyan Disability

When considering disability, the most significant differences between Soviet Union and Kenyan communities in the United States are seen in disability age under 5 (0.95% compared to 1.2%, a difference of 27.7%), disability age 35 to 64 (9.2% compared to 11.4%, a difference of 22.9%), and disability age 18 to 34 (5.7% compared to 6.8%, a difference of 18.0%). Conversely, both communities are more comparable in terms of ambulatory disability (5.8% compared to 5.8%, a difference of 0.49%), female disability (11.7% compared to 11.9%, a difference of 1.1%), and hearing disability (2.9% compared to 2.8%, a difference of 1.1%).
Soviet Union vs Kenyan Disability
Disability MetricSoviet UnionKenyan
Disability
Exceptional
10.9%
Excellent
11.5%
Males
Exceptional
10.1%
Good
11.0%
Females
Exceptional
11.7%
Exceptional
11.9%
Age | Under 5 years
Exceptional
0.95%
Good
1.2%
Age | 5 to 17 years
Exceptional
5.0%
Poor
5.8%
Age | 18 to 34 years
Exceptional
5.7%
Poor
6.8%
Age | 35 to 64 years
Exceptional
9.2%
Fair
11.4%
Age | 65 to 74 years
Exceptional
21.0%
Fair
23.7%
Age | Over 75 years
Exceptional
46.2%
Average
47.2%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Excellent
2.9%
Excellent
2.8%
Cognitive
Exceptional
16.5%
Tragic
18.1%
Ambulatory
Exceptional
5.8%
Exceptional
5.8%
Self-Care
Fair
2.5%
Exceptional
2.3%