Peruvian vs Yugoslavian Community Comparison

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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 IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYumanYup'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
Yugoslavian
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Peruvians

Yugoslavians

Average
Good
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
6,775
SOCIAL INDEX
65.2/ 100
SOCIAL RATING
143rd/ 347
SOCIAL RANK

Yugoslavian Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 229,869,769 people shows a weak positive correlation between the proportion of Yugoslavians within Peruvian communities in the United States with a correlation coefficient (R) of 0.264. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.069% in Yugoslavians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 69.1 Yugoslavians.
Peruvian Integration in Yugoslavian Communities

Peruvian vs Yugoslavian Income

When considering income, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in householder income under 25 years ($56,052 compared to $51,028, a difference of 9.9%), median household income ($90,261 compared to $82,186, a difference of 9.8%), and householder income ages 25 - 44 years ($98,886 compared to $91,368, a difference of 8.2%). Conversely, both communities are more comparable in terms of median male earnings ($55,659 compared to $53,967, a difference of 3.1%), median earnings ($47,628 compared to $45,846, a difference of 3.9%), and per capita income ($44,479 compared to $42,792, a difference of 3.9%).
Peruvian vs Yugoslavian Income
Income MetricPeruvianYugoslavian
Per Capita Income
Good
$44,479
Fair
$42,792
Median Family Income
Excellent
$105,444
Fair
$100,119
Median Household Income
Exceptional
$90,261
Poor
$82,186
Median Earnings
Excellent
$47,628
Fair
$45,846
Median Male Earnings
Good
$55,659
Fair
$53,967
Median Female Earnings
Good
$40,234
Tragic
$38,573
Householder Age | Under 25 years
Exceptional
$56,052
Tragic
$51,028
Householder Age | 25 - 44 years
Exceptional
$98,886
Poor
$91,368
Householder Age | 45 - 64 years
Exceptional
$105,070
Fair
$97,558
Householder Age | Over 65 years
Excellent
$62,766
Tragic
$58,243
Wage/Income Gap
Good
25.6%
Tragic
26.7%

Peruvian vs Yugoslavian Poverty

When considering poverty, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in seniors poverty over the age of 75 (13.4% compared to 11.2%, a difference of 19.0%), seniors poverty over the age of 65 (11.7% compared to 10.0%, a difference of 17.0%), and female poverty among 18-24 year olds (17.2% compared to 19.8%, a difference of 14.8%). Conversely, both communities are more comparable in terms of poverty (11.8% compared to 11.8%, a difference of 0.080%), female poverty (12.9% compared to 13.1%, a difference of 1.4%), and male poverty (10.7% compared to 10.8%, a difference of 1.6%).
Peruvian vs Yugoslavian Poverty
Poverty MetricPeruvianYugoslavian
Poverty
Excellent
11.8%
Excellent
11.8%
Families
Good
8.8%
Excellent
8.5%
Males
Excellent
10.7%
Good
10.8%
Females
Excellent
12.9%
Good
13.1%
Females 18 to 24 years
Exceptional
17.2%
Good
19.8%
Females 25 to 34 years
Exceptional
12.7%
Average
13.6%
Children Under 5 years
Exceptional
16.0%
Average
17.2%
Children Under 16 years
Excellent
15.3%
Good
15.8%
Boys Under 16 years
Excellent
15.5%
Good
15.9%
Girls Under 16 years
Exceptional
15.4%
Good
16.2%
Single Males
Exceptional
11.8%
Good
12.6%
Single Females
Exceptional
19.4%
Fair
21.2%
Single Fathers
Exceptional
15.4%
Average
16.3%
Single Mothers
Exceptional
27.5%
Fair
29.4%
Married Couples
Fair
5.3%
Exceptional
4.6%
Seniors Over 65 years
Tragic
11.7%
Exceptional
10.0%
Seniors Over 75 years
Tragic
13.4%
Exceptional
11.2%
Receiving Food Stamps
Average
11.7%
Exceptional
10.7%

Peruvian vs Yugoslavian Unemployment

When considering unemployment, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in unemployment among ages 60 to 64 years (5.0% compared to 4.4%, a difference of 13.2%), female unemployment (5.4% compared to 4.8%, a difference of 13.2%), and unemployment among ages 16 to 19 years (17.7% compared to 15.6%, a difference of 13.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.0% compared to 9.1%, a difference of 0.58%), unemployment among women with children under 6 years (7.5% compared to 7.7%, a difference of 2.3%), and unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 3.6%).
Peruvian vs Yugoslavian Unemployment
Unemployment MetricPeruvianYugoslavian
Unemployment
Fair
5.3%
Exceptional
4.8%
Males
Average
5.3%
Exceptional
5.0%
Females
Tragic
5.4%
Exceptional
4.8%
Youth < 25
Poor
11.8%
Exceptional
10.7%
Age | 16 to 19 years
Fair
17.7%
Exceptional
15.6%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.6%
Age | 25 to 29 years
Good
6.6%
Exceptional
6.1%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.1%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.5%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.1%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.7%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.4%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.2%
Seniors > 65
Tragic
5.3%
Exceptional
5.0%
Seniors > 75
Tragic
9.0%
Tragic
9.1%
Women w/ Children < 6
Good
7.5%
Fair
7.7%
Women w/ Children 6 to 17
Tragic
9.2%
Exceptional
8.5%
Women w/ Children < 18
Poor
5.6%
Exceptional
5.1%

Peruvian vs Yugoslavian Labor Participation

When considering labor participation, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 41.8%, a difference of 20.8%), in labor force | age 20-24 (74.5% compared to 78.0%, a difference of 4.6%), and in labor force | age > 16 (66.3% compared to 65.4%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 84.9%, a difference of 0.050%), in labor force | age 20-64 (80.3% compared to 80.1%, a difference of 0.32%), and in labor force | age 30-34 (84.8% compared to 85.1%, a difference of 0.39%).
Peruvian vs Yugoslavian Labor Participation
Labor Participation MetricPeruvianYugoslavian
In Labor Force | Age > 16
Exceptional
66.3%
Excellent
65.4%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.1%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
41.8%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
78.0%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
85.6%
In Labor Force | Age 30-34
Good
84.8%
Exceptional
85.1%
In Labor Force | Age 35-44
Exceptional
84.9%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
83.6%
Good
83.0%

Peruvian vs Yugoslavian Family Structure

When considering family structure, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in family households with children (29.0% compared to 27.0%, a difference of 7.4%), single mother households (6.5% compared to 6.1%, a difference of 6.4%), and family households (67.1% compared to 63.1%, a difference of 6.4%). Conversely, both communities are more comparable in terms of currently married (46.6% compared to 47.2%, a difference of 1.1%), single father households (2.4% compared to 2.3%, a difference of 1.4%), and births to unmarried women (31.5% compared to 30.8%, a difference of 2.1%).
Peruvian vs Yugoslavian Family Structure
Family Structure MetricPeruvianYugoslavian
Family Households
Exceptional
67.1%
Tragic
63.1%
Family Households with Children
Exceptional
29.0%
Tragic
27.0%
Married-couple Households
Exceptional
47.6%
Fair
46.2%
Average Family Size
Exceptional
3.30
Tragic
3.15
Single Father Households
Fair
2.4%
Average
2.3%
Single Mother Households
Fair
6.5%
Good
6.1%
Currently Married
Average
46.6%
Good
47.2%
Divorced or Separated
Excellent
11.9%
Tragic
12.3%
Births to Unmarried Women
Average
31.5%
Good
30.8%

Peruvian vs Yugoslavian Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in no vehicles in household (11.2% compared to 9.0%, a difference of 25.2%), 4 or more vehicles in household (6.5% compared to 6.3%, a difference of 3.0%), and 2 or more vehicles in household (55.0% compared to 56.6%, a difference of 2.9%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.6% compared to 19.7%, a difference of 0.33%), 1 or more vehicles in household (88.8% compared to 91.1%, a difference of 2.5%), and 2 or more vehicles in household (55.0% compared to 56.6%, a difference of 2.9%).
Peruvian vs Yugoslavian Vehicle Availability
Vehicle Availability MetricPeruvianYugoslavian
No Vehicles Available
Tragic
11.2%
Exceptional
9.0%
1+ Vehicles Available
Tragic
88.8%
Exceptional
91.1%
2+ Vehicles Available
Fair
55.0%
Exceptional
56.6%
3+ Vehicles Available
Average
19.6%
Good
19.7%
4+ Vehicles Available
Good
6.5%
Average
6.3%

Peruvian vs Yugoslavian Education Level

When considering education level, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in no schooling completed (2.4% compared to 1.8%, a difference of 29.7%), professional degree (4.5% compared to 4.1%, a difference of 9.7%), and master's degree (15.3% compared to 14.4%, a difference of 6.4%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.2%, a difference of 0.58%), kindergarten (97.6% compared to 98.2%, a difference of 0.59%), and 1st grade (97.6% compared to 98.2%, a difference of 0.59%).
Peruvian vs Yugoslavian Education Level
Education Level MetricPeruvianYugoslavian
No Schooling Completed
Tragic
2.4%
Exceptional
1.8%
Nursery School
Tragic
97.6%
Exceptional
98.2%
Kindergarten
Tragic
97.6%
Exceptional
98.2%
1st Grade
Tragic
97.6%
Exceptional
98.2%
2nd Grade
Tragic
97.5%
Exceptional
98.2%
3rd Grade
Tragic
97.4%
Exceptional
98.1%
4th Grade
Tragic
97.1%
Exceptional
97.9%
5th Grade
Tragic
96.8%
Exceptional
97.7%
6th Grade
Tragic
96.4%
Exceptional
97.5%
7th Grade
Tragic
95.1%
Exceptional
96.8%
8th Grade
Tragic
94.7%
Exceptional
96.5%
9th Grade
Tragic
93.8%
Exceptional
95.7%
10th Grade
Tragic
92.6%
Exceptional
94.6%
11th Grade
Tragic
91.5%
Exceptional
93.4%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
92.1%
High School Diploma
Tragic
87.8%
Exceptional
90.2%
GED/Equivalency
Tragic
84.7%
Excellent
86.7%
College, Under 1 year
Poor
64.1%
Average
65.6%
College, 1 year or more
Fair
58.6%
Average
59.2%
Associate's Degree
Average
46.4%
Average
46.0%
Bachelor's Degree
Good
38.3%
Fair
37.1%
Master's Degree
Good
15.3%
Fair
14.4%
Professional Degree
Good
4.5%
Poor
4.1%
Doctorate Degree
Fair
1.8%
Poor
1.7%

Peruvian vs Yugoslavian Disability

When considering disability, the most significant differences between Peruvian and Yugoslavian communities in the United States are seen in hearing disability (2.7% compared to 3.3%, a difference of 21.4%), disability age 18 to 34 (6.0% compared to 7.2%, a difference of 19.8%), and disability age 35 to 64 (9.9% compared to 11.7%, a difference of 19.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 46.8%, a difference of 0.10%), cognitive disability (16.7% compared to 17.2%, a difference of 2.9%), and self-care disability (2.4% compared to 2.5%, a difference of 3.6%).
Peruvian vs Yugoslavian Disability
Disability MetricPeruvianYugoslavian
Disability
Exceptional
10.9%
Tragic
12.2%
Males
Exceptional
10.4%
Tragic
11.9%
Females
Exceptional
11.3%
Tragic
12.6%
Age | Under 5 years
Fair
1.3%
Tragic
1.4%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
9.9%
Poor
11.7%
Age | 65 to 74 years
Exceptional
22.2%
Average
23.3%
Age | Over 75 years
Excellent
46.8%
Excellent
46.8%
Vision
Exceptional
2.1%
Average
2.2%
Hearing
Exceptional
2.7%
Tragic
3.3%
Cognitive
Exceptional
16.7%
Good
17.2%
Ambulatory
Exceptional
5.7%
Poor
6.3%
Self-Care
Exceptional
2.4%
Fair
2.5%