Eastern European vs Peruvian Community Comparison

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Eastern European
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 IndianEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench 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

Eastern Europeans

Peruvians

Excellent
Average
8,758
SOCIAL INDEX
85.0/ 100
SOCIAL RATING
52nd/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Eastern European Communities

The statistical analysis conducted on geographies consisting of 329,199,746 people shows a moderate positive correlation between the proportion of Peruvians within Eastern European communities in the United States with a correlation coefficient (R) of 0.451. On average, for every 1% (one percent) increase in Eastern Europeans within a typical geography, there is an increase of 0.068% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Eastern Europeans corresponds to an increase of 67.6 Peruvians.
Eastern European Integration in Peruvian Communities

Eastern European vs Peruvian Income

When considering income, the most significant differences between Eastern European and Peruvian communities in the United States are seen in per capita income ($55,780 compared to $44,479, a difference of 25.4%), median male earnings ($66,472 compared to $55,659, a difference of 19.4%), and median family income ($125,546 compared to $105,444, a difference of 19.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,066 compared to $56,052, a difference of 3.7%), wage/income gap (28.6% compared to 25.6%, a difference of 11.9%), and householder income over 65 years ($70,470 compared to $62,766, a difference of 12.3%).
Eastern European vs Peruvian Income
Income MetricEastern EuropeanPeruvian
Per Capita Income
Exceptional
$55,780
Good
$44,479
Median Family Income
Exceptional
$125,546
Excellent
$105,444
Median Household Income
Exceptional
$101,781
Exceptional
$90,261
Median Earnings
Exceptional
$55,084
Excellent
$47,628
Median Male Earnings
Exceptional
$66,472
Good
$55,659
Median Female Earnings
Exceptional
$45,385
Good
$40,234
Householder Age | Under 25 years
Exceptional
$54,066
Exceptional
$56,052
Householder Age | 25 - 44 years
Exceptional
$114,523
Exceptional
$98,886
Householder Age | 45 - 64 years
Exceptional
$120,684
Exceptional
$105,070
Householder Age | Over 65 years
Exceptional
$70,470
Excellent
$62,766
Wage/Income Gap
Tragic
28.6%
Good
25.6%

Eastern European vs Peruvian Poverty

When considering poverty, the most significant differences between Eastern European and Peruvian communities in the United States are seen in married-couple family poverty (4.1% compared to 5.3%, a difference of 29.0%), receiving food stamps (9.2% compared to 11.7%, a difference of 28.2%), and seniors poverty over the age of 65 (9.6% compared to 11.7%, a difference of 21.6%). Conversely, both communities are more comparable in terms of single mother poverty (27.2% compared to 27.5%, a difference of 1.0%), single female poverty (19.1% compared to 19.4%, a difference of 1.2%), and female poverty among 25-34 year olds (12.0% compared to 12.7%, a difference of 5.5%).
Eastern European vs Peruvian Poverty
Poverty MetricEastern EuropeanPeruvian
Poverty
Exceptional
10.6%
Excellent
11.8%
Families
Exceptional
7.2%
Good
8.8%
Males
Exceptional
9.6%
Excellent
10.7%
Females
Exceptional
11.5%
Excellent
12.9%
Females 18 to 24 years
Good
19.9%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
12.0%
Exceptional
12.7%
Children Under 5 years
Exceptional
14.6%
Exceptional
16.0%
Children Under 16 years
Exceptional
13.2%
Excellent
15.3%
Boys Under 16 years
Exceptional
13.5%
Excellent
15.5%
Girls Under 16 years
Exceptional
13.5%
Exceptional
15.4%
Single Males
Good
12.7%
Exceptional
11.8%
Single Females
Exceptional
19.1%
Exceptional
19.4%
Single Fathers
Poor
16.6%
Exceptional
15.4%
Single Mothers
Exceptional
27.2%
Exceptional
27.5%
Married Couples
Exceptional
4.1%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.6%
Tragic
11.7%
Seniors Over 75 years
Exceptional
11.3%
Tragic
13.4%
Receiving Food Stamps
Exceptional
9.2%
Average
11.7%

Eastern European vs Peruvian Unemployment

When considering unemployment, the most significant differences between Eastern European and Peruvian communities in the United States are seen in unemployment among women with children under 18 years (5.0% compared to 5.6%, a difference of 12.6%), female unemployment (4.9% compared to 5.4%, a difference of 12.0%), and unemployment (4.9% compared to 5.3%, a difference of 9.4%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.6% compared to 17.7%, a difference of 0.27%), unemployment among ages 25 to 29 years (6.5% compared to 6.6%, a difference of 0.46%), and unemployment among ages 55 to 59 years (4.9% compared to 4.8%, a difference of 0.49%).
Eastern European vs Peruvian Unemployment
Unemployment MetricEastern EuropeanPeruvian
Unemployment
Exceptional
4.9%
Fair
5.3%
Males
Exceptional
5.0%
Average
5.3%
Females
Exceptional
4.9%
Tragic
5.4%
Youth < 25
Average
11.6%
Poor
11.8%
Age | 16 to 19 years
Average
17.6%
Fair
17.7%
Age | 20 to 24 years
Tragic
10.6%
Poor
10.5%
Age | 25 to 29 years
Good
6.5%
Good
6.6%
Age | 30 to 34 years
Excellent
5.3%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.3%
Fair
4.6%
Age | 55 to 59 years
Fair
4.9%
Fair
4.8%
Age | 60 to 64 years
Poor
4.9%
Tragic
5.0%
Age | 65 to 74 years
Excellent
5.3%
Tragic
5.5%
Seniors > 65
Exceptional
5.0%
Tragic
5.3%
Seniors > 75
Fair
8.9%
Tragic
9.0%
Women w/ Children < 6
Exceptional
7.2%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.0%
Poor
5.6%

Eastern European vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Eastern European and Peruvian communities in the United States are seen in in labor force | age 16-19 (36.4% compared to 34.6%, a difference of 5.1%), in labor force | age > 16 (65.1% compared to 66.3%, a difference of 1.8%), and in labor force | age 30-34 (85.7% compared to 84.8%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.6%, a difference of 0.050%), in labor force | age 20-64 (80.2% compared to 80.3%, a difference of 0.12%), and in labor force | age 20-24 (74.8% compared to 74.5%, a difference of 0.29%).
Eastern European vs Peruvian Labor Participation
Labor Participation MetricEastern EuropeanPeruvian
In Labor Force | Age > 16
Average
65.1%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
80.3%
In Labor Force | Age 16-19
Fair
36.4%
Tragic
34.6%
In Labor Force | Age 20-24
Fair
74.8%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
85.5%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.7%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
83.5%
Exceptional
83.6%

Eastern European vs Peruvian Family Structure

When considering family structure, the most significant differences between Eastern European and Peruvian communities in the United States are seen in single mother households (5.2% compared to 6.5%, a difference of 25.9%), single father households (2.0% compared to 2.4%, a difference of 21.6%), and births to unmarried women (27.7% compared to 31.5%, a difference of 13.6%). Conversely, both communities are more comparable in terms of married-couple households (48.6% compared to 47.6%, a difference of 2.1%), currently married (48.9% compared to 46.6%, a difference of 4.9%), and divorced or separated (11.3% compared to 11.9%, a difference of 5.3%).
Eastern European vs Peruvian Family Structure
Family Structure MetricEastern EuropeanPeruvian
Family Households
Tragic
63.4%
Exceptional
67.1%
Family Households with Children
Tragic
26.7%
Exceptional
29.0%
Married-couple Households
Exceptional
48.6%
Exceptional
47.6%
Average Family Size
Tragic
3.12
Exceptional
3.30
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.2%
Fair
6.5%
Currently Married
Exceptional
48.9%
Average
46.6%
Divorced or Separated
Exceptional
11.3%
Excellent
11.9%
Births to Unmarried Women
Exceptional
27.7%
Average
31.5%

Eastern European vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Eastern European and Peruvian communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 6.5%, a difference of 9.3%), 3 or more vehicles in household (18.7% compared to 19.6%, a difference of 4.9%), and no vehicles in household (11.7% compared to 11.2%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (54.8% compared to 55.0%, a difference of 0.29%), 1 or more vehicles in household (88.5% compared to 88.8%, a difference of 0.41%), and no vehicles in household (11.7% compared to 11.2%, a difference of 3.7%).
Eastern European vs Peruvian Vehicle Availability
Vehicle Availability MetricEastern EuropeanPeruvian
No Vehicles Available
Tragic
11.7%
Tragic
11.2%
1+ Vehicles Available
Tragic
88.5%
Tragic
88.8%
2+ Vehicles Available
Fair
54.8%
Fair
55.0%
3+ Vehicles Available
Poor
18.7%
Average
19.6%
4+ Vehicles Available
Tragic
5.9%
Good
6.5%

Eastern European vs Peruvian Education Level

When considering education level, the most significant differences between Eastern European and Peruvian communities in the United States are seen in professional degree (7.1% compared to 4.5%, a difference of 57.4%), doctorate degree (2.8% compared to 1.8%, a difference of 57.1%), and no schooling completed (1.6% compared to 2.4%, a difference of 53.4%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.6%, a difference of 0.89%), kindergarten (98.5% compared to 97.6%, a difference of 0.90%), and 1st grade (98.5% compared to 97.6%, a difference of 0.91%).
Eastern European vs Peruvian Education Level
Education Level MetricEastern EuropeanPeruvian
No Schooling Completed
Exceptional
1.6%
Tragic
2.4%
Nursery School
Exceptional
98.5%
Tragic
97.6%
Kindergarten
Exceptional
98.5%
Tragic
97.6%
1st Grade
Exceptional
98.5%
Tragic
97.6%
2nd Grade
Exceptional
98.4%
Tragic
97.5%
3rd Grade
Exceptional
98.3%
Tragic
97.4%
4th Grade
Exceptional
98.2%
Tragic
97.1%
5th Grade
Exceptional
98.1%
Tragic
96.8%
6th Grade
Exceptional
97.9%
Tragic
96.4%
7th Grade
Exceptional
97.2%
Tragic
95.1%
8th Grade
Exceptional
97.0%
Tragic
94.7%
9th Grade
Exceptional
96.3%
Tragic
93.8%
10th Grade
Exceptional
95.5%
Tragic
92.6%
11th Grade
Exceptional
94.6%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
93.5%
Tragic
90.2%
High School Diploma
Exceptional
91.9%
Tragic
87.8%
GED/Equivalency
Exceptional
89.1%
Tragic
84.7%
College, Under 1 year
Exceptional
71.8%
Poor
64.1%
College, 1 year or more
Exceptional
66.6%
Fair
58.6%
Associate's Degree
Exceptional
55.0%
Average
46.4%
Bachelor's Degree
Exceptional
47.5%
Good
38.3%
Master's Degree
Exceptional
21.1%
Good
15.3%
Professional Degree
Exceptional
7.1%
Good
4.5%
Doctorate Degree
Exceptional
2.8%
Fair
1.8%

Eastern European vs Peruvian Disability

When considering disability, the most significant differences between Eastern European and Peruvian communities in the United States are seen in hearing disability (3.1% compared to 2.7%, a difference of 14.1%), disability age 18 to 34 (6.5% compared to 6.0%, a difference of 9.3%), and disability age under 5 (1.4% compared to 1.3%, a difference of 9.1%). Conversely, both communities are more comparable in terms of ambulatory disability (5.7% compared to 5.7%, a difference of 0.79%), disability age 35 to 64 (10.0% compared to 9.9%, a difference of 1.1%), and disability age 5 to 17 (5.2% compared to 5.3%, a difference of 1.2%).
Eastern European vs Peruvian Disability
Disability MetricEastern EuropeanPeruvian
Disability
Exceptional
11.2%
Exceptional
10.9%
Males
Exceptional
10.9%
Exceptional
10.4%
Females
Exceptional
11.5%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.4%
Fair
1.3%
Age | 5 to 17 years
Exceptional
5.2%
Exceptional
5.3%
Age | 18 to 34 years
Good
6.5%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.0%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
22.2%
Age | Over 75 years
Exceptional
44.8%
Excellent
46.8%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Poor
3.1%
Exceptional
2.7%
Cognitive
Exceptional
16.3%
Exceptional
16.7%
Ambulatory
Exceptional
5.7%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.4%