Soviet Union vs Peruvian Community Comparison

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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 GermanPimaPolishPortuguesePotawatomiPuebloPuerto 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
Peruvian
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

Peruvians

Good
Average
7,833
SOCIAL INDEX
75.8/ 100
SOCIAL RATING
103rd/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Soviet Union Communities

The statistical analysis conducted on geographies consisting of 42,398,011 people shows a moderate positive correlation between the proportion of Peruvians within Soviet Union communities in the United States with a correlation coefficient (R) of 0.468. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is an increase of 1.540% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to an increase of 1,540.2 Peruvians.
Soviet Union Integration in Peruvian Communities

Soviet Union vs Peruvian Income

When considering income, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in per capita income ($54,202 compared to $44,479, a difference of 21.9%), median female earnings ($46,556 compared to $40,234, a difference of 15.7%), and median earnings ($54,290 compared to $47,628, a difference of 14.0%). Conversely, both communities are more comparable in terms of householder income over 65 years ($62,848 compared to $62,766, a difference of 0.13%), householder income under 25 years ($55,340 compared to $56,052, a difference of 1.3%), and median household income ($95,098 compared to $90,261, a difference of 5.4%).
Soviet Union vs Peruvian Income
Income MetricSoviet UnionPeruvian
Per Capita Income
Exceptional
$54,202
Good
$44,479
Median Family Income
Exceptional
$119,262
Excellent
$105,444
Median Household Income
Exceptional
$95,098
Exceptional
$90,261
Median Earnings
Exceptional
$54,290
Excellent
$47,628
Median Male Earnings
Exceptional
$63,382
Good
$55,659
Median Female Earnings
Exceptional
$46,556
Good
$40,234
Householder Age | Under 25 years
Exceptional
$55,340
Exceptional
$56,052
Householder Age | 25 - 44 years
Exceptional
$108,457
Exceptional
$98,886
Householder Age | 45 - 64 years
Exceptional
$112,008
Exceptional
$105,070
Householder Age | Over 65 years
Excellent
$62,848
Excellent
$62,766
Wage/Income Gap
Exceptional
24.2%
Good
25.6%

Soviet Union vs Peruvian Poverty

When considering poverty, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in female poverty among 18-24 year olds (19.5% compared to 17.2%, a difference of 13.2%), child poverty under the age of 5 (14.7% compared to 16.0%, a difference of 8.9%), and married-couple family poverty (4.9% compared to 5.3%, a difference of 8.6%). Conversely, both communities are more comparable in terms of single mother poverty (27.3% compared to 27.5%, a difference of 0.57%), poverty (11.7% compared to 11.8%, a difference of 0.62%), and single female poverty (19.6% compared to 19.4%, a difference of 1.1%).
Soviet Union vs Peruvian Poverty
Poverty MetricSoviet UnionPeruvian
Poverty
Excellent
11.7%
Excellent
11.8%
Families
Exceptional
8.3%
Good
8.8%
Males
Good
11.1%
Excellent
10.7%
Females
Exceptional
12.6%
Excellent
12.9%
Females 18 to 24 years
Exceptional
19.5%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
12.1%
Exceptional
12.7%
Children Under 5 years
Exceptional
14.7%
Exceptional
16.0%
Children Under 16 years
Exceptional
14.5%
Excellent
15.3%
Boys Under 16 years
Exceptional
14.5%
Excellent
15.5%
Girls Under 16 years
Exceptional
14.8%
Exceptional
15.4%
Single Males
Exceptional
11.5%
Exceptional
11.8%
Single Females
Exceptional
19.6%
Exceptional
19.4%
Single Fathers
Exceptional
14.3%
Exceptional
15.4%
Single Mothers
Exceptional
27.3%
Exceptional
27.5%
Married Couples
Exceptional
4.9%
Fair
5.3%
Seniors Over 65 years
Tragic
12.6%
Tragic
11.7%
Seniors Over 75 years
Tragic
14.5%
Tragic
13.4%
Receiving Food Stamps
Excellent
11.1%
Average
11.7%

Soviet Union vs Peruvian Unemployment

When considering unemployment, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (6.6% compared to 9.0%, a difference of 36.0%), unemployment among women with children ages 6 to 17 years (7.1% compared to 9.2%, a difference of 29.8%), and unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 15.2%). Conversely, both communities are more comparable in terms of female unemployment (5.4% compared to 5.4%, a difference of 1.4%), unemployment (5.4% compared to 5.3%, a difference of 1.9%), and unemployment among ages 65 to 74 years (5.4% compared to 5.5%, a difference of 2.8%).
Soviet Union vs Peruvian Unemployment
Unemployment MetricSoviet UnionPeruvian
Unemployment
Poor
5.4%
Fair
5.3%
Males
Tragic
5.6%
Average
5.3%
Females
Fair
5.4%
Tragic
5.4%
Youth < 25
Tragic
12.2%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.8%
Fair
17.7%
Age | 20 to 24 years
Tragic
11.7%
Poor
10.5%
Age | 25 to 29 years
Exceptional
6.2%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Average
5.5%
Age | 35 to 44 years
Poor
4.8%
Average
4.7%
Age | 45 to 54 years
Tragic
4.7%
Fair
4.6%
Age | 55 to 59 years
Tragic
5.1%
Fair
4.8%
Age | 60 to 64 years
Tragic
5.4%
Tragic
5.0%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.5%
Seniors > 65
Exceptional
5.1%
Tragic
5.3%
Seniors > 75
Exceptional
6.6%
Tragic
9.0%
Women w/ Children < 6
Exceptional
6.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.1%
Tragic
9.2%
Women w/ Children < 18
Exceptional
4.9%
Poor
5.6%

Soviet Union vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 34.6%, a difference of 10.1%), in labor force | age 20-24 (72.3% compared to 74.5%, a difference of 3.2%), and in labor force | age > 16 (65.0% compared to 66.3%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.3%, a difference of 0.11%), in labor force | age 35-44 (85.1% compared to 84.9%, a difference of 0.20%), and in labor force | age 25-29 (85.3% compared to 84.7%, a difference of 0.66%).
Soviet Union vs Peruvian Labor Participation
Labor Participation MetricSoviet UnionPeruvian
In Labor Force | Age > 16
Average
65.0%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
31.4%
Tragic
34.6%
In Labor Force | Age 20-24
Tragic
72.3%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
85.3%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.5%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
85.1%
Exceptional
84.9%
In Labor Force | Age 45-54
Good
83.0%
Exceptional
83.6%

Soviet Union vs Peruvian Family Structure

When considering family structure, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in single father households (1.8% compared to 2.4%, a difference of 32.6%), single mother households (5.1% compared to 6.5%, a difference of 27.7%), and births to unmarried women (26.3% compared to 31.5%, a difference of 19.8%). Conversely, both communities are more comparable in terms of currently married (46.2% compared to 46.6%, a difference of 0.98%), average family size (3.11 compared to 3.30, a difference of 5.9%), and married-couple households (44.6% compared to 47.6%, a difference of 6.7%).
Soviet Union vs Peruvian Family Structure
Family Structure MetricSoviet UnionPeruvian
Family Households
Tragic
60.9%
Exceptional
67.1%
Family Households with Children
Tragic
24.8%
Exceptional
29.0%
Married-couple Households
Tragic
44.6%
Exceptional
47.6%
Average Family Size
Tragic
3.11
Exceptional
3.30
Single Father Households
Exceptional
1.8%
Fair
2.4%
Single Mother Households
Exceptional
5.1%
Fair
6.5%
Currently Married
Fair
46.2%
Average
46.6%
Divorced or Separated
Exceptional
11.1%
Excellent
11.9%
Births to Unmarried Women
Exceptional
26.3%
Average
31.5%

Soviet Union vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in no vehicles in household (17.4% compared to 11.2%, a difference of 55.0%), 4 or more vehicles in household (4.4% compared to 6.5%, a difference of 45.9%), and 3 or more vehicles in household (14.2% compared to 19.6%, a difference of 38.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (82.7% compared to 88.8%, a difference of 7.5%), 2 or more vehicles in household (45.7% compared to 55.0%, a difference of 20.2%), and 3 or more vehicles in household (14.2% compared to 19.6%, a difference of 38.4%).
Soviet Union vs Peruvian Vehicle Availability
Vehicle Availability MetricSoviet UnionPeruvian
No Vehicles Available
Tragic
17.4%
Tragic
11.2%
1+ Vehicles Available
Tragic
82.7%
Tragic
88.8%
2+ Vehicles Available
Tragic
45.7%
Fair
55.0%
3+ Vehicles Available
Tragic
14.2%
Average
19.6%
4+ Vehicles Available
Tragic
4.4%
Good
6.5%

Soviet Union vs Peruvian Education Level

When considering education level, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in professional degree (6.6% compared to 4.5%, a difference of 45.7%), doctorate degree (2.5% compared to 1.8%, a difference of 38.2%), and master's degree (20.5% compared to 15.3%, a difference of 34.2%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 97.6%, a difference of 0.42%), kindergarten (98.0% compared to 97.6%, a difference of 0.42%), and 1st grade (98.0% compared to 97.6%, a difference of 0.42%).
Soviet Union vs Peruvian Education Level
Education Level MetricSoviet UnionPeruvian
No Schooling Completed
Good
2.0%
Tragic
2.4%
Nursery School
Good
98.0%
Tragic
97.6%
Kindergarten
Good
98.0%
Tragic
97.6%
1st Grade
Good
98.0%
Tragic
97.6%
2nd Grade
Good
97.9%
Tragic
97.5%
3rd Grade
Good
97.8%
Tragic
97.4%
4th Grade
Good
97.6%
Tragic
97.1%
5th Grade
Excellent
97.5%
Tragic
96.8%
6th Grade
Good
97.2%
Tragic
96.4%
7th Grade
Exceptional
96.4%
Tragic
95.1%
8th Grade
Exceptional
96.1%
Tragic
94.7%
9th Grade
Exceptional
95.4%
Tragic
93.8%
10th Grade
Exceptional
94.6%
Tragic
92.6%
11th Grade
Exceptional
93.7%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
90.2%
High School Diploma
Exceptional
90.9%
Tragic
87.8%
GED/Equivalency
Exceptional
88.0%
Tragic
84.7%
College, Under 1 year
Exceptional
71.1%
Poor
64.1%
College, 1 year or more
Exceptional
66.4%
Fair
58.6%
Associate's Degree
Exceptional
55.1%
Average
46.4%
Bachelor's Degree
Exceptional
47.9%
Good
38.3%
Master's Degree
Exceptional
20.5%
Good
15.3%
Professional Degree
Exceptional
6.6%
Good
4.5%
Doctorate Degree
Exceptional
2.5%
Fair
1.8%

Soviet Union vs Peruvian Disability

When considering disability, the most significant differences between Soviet Union and Peruvian communities in the United States are seen in disability age under 5 (0.95% compared to 1.3%, a difference of 32.6%), disability age 5 to 17 (5.0% compared to 5.3%, a difference of 6.8%), and disability age 35 to 64 (9.2% compared to 9.9%, a difference of 6.5%). Conversely, both communities are more comparable in terms of disability (10.9% compared to 10.9%, a difference of 0.070%), cognitive disability (16.5% compared to 16.7%, a difference of 0.94%), and ambulatory disability (5.8% compared to 5.7%, a difference of 1.2%).
Soviet Union vs Peruvian Disability
Disability MetricSoviet UnionPeruvian
Disability
Exceptional
10.9%
Exceptional
10.9%
Males
Exceptional
10.1%
Exceptional
10.4%
Females
Exceptional
11.7%
Exceptional
11.3%
Age | Under 5 years
Exceptional
0.95%
Fair
1.3%
Age | 5 to 17 years
Exceptional
5.0%
Exceptional
5.3%
Age | 18 to 34 years
Exceptional
5.7%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
9.2%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
21.0%
Exceptional
22.2%
Age | Over 75 years
Exceptional
46.2%
Excellent
46.8%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Excellent
2.9%
Exceptional
2.7%
Cognitive
Exceptional
16.5%
Exceptional
16.7%
Ambulatory
Exceptional
5.8%
Exceptional
5.7%
Self-Care
Fair
2.5%
Exceptional
2.4%