Polish vs Peruvian Community Comparison

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Polish
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 GermanPeruvianPimaPortuguesePotawatomiPuebloPuerto 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

Poles

Peruvians

Excellent
Average
8,413
SOCIAL INDEX
81.6/ 100
SOCIAL RATING
72nd/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Polish Communities

The statistical analysis conducted on geographies consisting of 359,920,708 people shows a substantial negative correlation between the proportion of Peruvians within Polish communities in the United States with a correlation coefficient (R) of -0.557. On average, for every 1% (one percent) increase in Poles within a typical geography, there is a decrease of 0.012% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Poles corresponds to a decrease of 12.0 Peruvians.
Polish Integration in Peruvian Communities

Polish vs Peruvian Income

When considering income, the most significant differences between Polish and Peruvian communities in the United States are seen in wage/income gap (28.5% compared to 25.6%, a difference of 11.5%), householder income under 25 years ($52,407 compared to $56,052, a difference of 7.0%), and median male earnings ($58,139 compared to $55,659, a difference of 4.5%). Conversely, both communities are more comparable in terms of median female earnings ($40,371 compared to $40,234, a difference of 0.34%), householder income ages 25 - 44 years ($99,685 compared to $98,886, a difference of 0.81%), and householder income ages 45 - 64 years ($105,952 compared to $105,070, a difference of 0.84%).
Polish vs Peruvian Income
Income MetricPolishPeruvian
Per Capita Income
Exceptional
$46,123
Good
$44,479
Median Family Income
Exceptional
$108,507
Excellent
$105,444
Median Household Income
Excellent
$88,472
Exceptional
$90,261
Median Earnings
Exceptional
$48,659
Excellent
$47,628
Median Male Earnings
Exceptional
$58,139
Good
$55,659
Median Female Earnings
Excellent
$40,371
Good
$40,234
Householder Age | Under 25 years
Good
$52,407
Exceptional
$56,052
Householder Age | 25 - 44 years
Exceptional
$99,685
Exceptional
$98,886
Householder Age | 45 - 64 years
Exceptional
$105,952
Exceptional
$105,070
Householder Age | Over 65 years
Good
$61,598
Excellent
$62,766
Wage/Income Gap
Tragic
28.5%
Good
25.6%

Polish vs Peruvian Poverty

When considering poverty, the most significant differences between Polish and Peruvian communities in the United States are seen in married-couple family poverty (4.0% compared to 5.3%, a difference of 31.6%), seniors poverty over the age of 65 (9.1% compared to 11.7%, a difference of 28.1%), and seniors poverty over the age of 75 (10.6% compared to 13.4%, a difference of 26.3%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.7% compared to 12.7%, a difference of 0.31%), child poverty under the age of 5 (15.7% compared to 16.0%, a difference of 2.2%), and single mother poverty (28.4% compared to 27.5%, a difference of 3.2%).
Polish vs Peruvian Poverty
Poverty MetricPolishPeruvian
Poverty
Exceptional
10.7%
Excellent
11.8%
Families
Exceptional
7.4%
Good
8.8%
Males
Exceptional
9.7%
Excellent
10.7%
Females
Exceptional
11.7%
Excellent
12.9%
Females 18 to 24 years
Exceptional
18.8%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
12.7%
Children Under 5 years
Exceptional
15.7%
Exceptional
16.0%
Children Under 16 years
Exceptional
14.0%
Excellent
15.3%
Boys Under 16 years
Exceptional
14.4%
Excellent
15.5%
Girls Under 16 years
Exceptional
14.4%
Exceptional
15.4%
Single Males
Poor
13.0%
Exceptional
11.8%
Single Females
Exceptional
20.0%
Exceptional
19.4%
Single Fathers
Tragic
17.3%
Exceptional
15.4%
Single Mothers
Exceptional
28.4%
Exceptional
27.5%
Married Couples
Exceptional
4.0%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.1%
Tragic
11.7%
Seniors Over 75 years
Exceptional
10.6%
Tragic
13.4%
Receiving Food Stamps
Exceptional
10.0%
Average
11.7%

Polish vs Peruvian Unemployment

When considering unemployment, the most significant differences between Polish and Peruvian communities in the United States are seen in female unemployment (4.7% compared to 5.4%, a difference of 16.1%), unemployment among seniors over 75 years (10.3% compared to 9.0%, a difference of 14.0%), and unemployment among women with children under 18 years (5.0% compared to 5.6%, a difference of 13.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.5% compared to 6.6%, a difference of 0.67%), unemployment among women with children ages 6 to 17 years (9.4% compared to 9.2%, a difference of 2.0%), and unemployment among ages 30 to 34 years (5.3% compared to 5.5%, a difference of 2.3%).
Polish vs Peruvian Unemployment
Unemployment MetricPolishPeruvian
Unemployment
Exceptional
4.7%
Fair
5.3%
Males
Exceptional
4.9%
Average
5.3%
Females
Exceptional
4.7%
Tragic
5.4%
Youth < 25
Exceptional
11.0%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.4%
Fair
17.7%
Age | 20 to 24 years
Exceptional
10.0%
Poor
10.5%
Age | 25 to 29 years
Good
6.5%
Good
6.6%
Age | 30 to 34 years
Good
5.3%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.4%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.7%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.7%
Tragic
5.0%
Age | 65 to 74 years
Good
5.3%
Tragic
5.5%
Seniors > 65
Excellent
5.1%
Tragic
5.3%
Seniors > 75
Tragic
10.3%
Tragic
9.0%
Women w/ Children < 6
Poor
7.9%
Good
7.5%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.0%
Poor
5.6%

Polish vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Polish and Peruvian communities in the United States are seen in in labor force | age 16-19 (42.1% compared to 34.6%, a difference of 21.8%), in labor force | age 20-24 (77.6% compared to 74.5%, a difference of 4.1%), and in labor force | age > 16 (64.7% compared to 66.3%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.6%, a difference of 0.0%), in labor force | age 20-64 (80.1% compared to 80.3%, a difference of 0.27%), and in labor force | age 35-44 (85.2% compared to 84.9%, a difference of 0.34%).
Polish vs Peruvian Labor Participation
Labor Participation MetricPolishPeruvian
In Labor Force | Age > 16
Tragic
64.7%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
80.1%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
42.1%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
77.6%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
85.8%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.5%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.6%

Polish vs Peruvian Family Structure

When considering family structure, the most significant differences between Polish and Peruvian communities in the United States are seen in single mother households (5.6% compared to 6.5%, a difference of 17.3%), family households with children (26.5% compared to 29.0%, a difference of 9.5%), and single father households (2.2% compared to 2.4%, a difference of 8.4%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.12%), married-couple households (48.5% compared to 47.6%, a difference of 1.9%), and births to unmarried women (30.8% compared to 31.5%, a difference of 2.3%).
Polish vs Peruvian Family Structure
Family Structure MetricPolishPeruvian
Family Households
Poor
64.0%
Exceptional
67.1%
Family Households with Children
Tragic
26.5%
Exceptional
29.0%
Married-couple Households
Exceptional
48.5%
Exceptional
47.6%
Average Family Size
Tragic
3.09
Exceptional
3.30
Single Father Households
Exceptional
2.2%
Fair
2.4%
Single Mother Households
Exceptional
5.6%
Fair
6.5%
Currently Married
Exceptional
48.9%
Average
46.6%
Divorced or Separated
Good
11.9%
Excellent
11.9%
Births to Unmarried Women
Good
30.8%
Average
31.5%

Polish vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Polish and Peruvian communities in the United States are seen in no vehicles in household (8.4% compared to 11.2%, a difference of 33.3%), 2 or more vehicles in household (58.3% compared to 55.0%, a difference of 6.0%), and 1 or more vehicles in household (91.7% compared to 88.8%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 1.4%), 3 or more vehicles in household (20.2% compared to 19.6%, a difference of 2.9%), and 1 or more vehicles in household (91.7% compared to 88.8%, a difference of 3.2%).
Polish vs Peruvian Vehicle Availability
Vehicle Availability MetricPolishPeruvian
No Vehicles Available
Exceptional
8.4%
Tragic
11.2%
1+ Vehicles Available
Exceptional
91.7%
Tragic
88.8%
2+ Vehicles Available
Exceptional
58.3%
Fair
55.0%
3+ Vehicles Available
Excellent
20.2%
Average
19.6%
4+ Vehicles Available
Average
6.4%
Good
6.5%

Polish vs Peruvian Education Level

When considering education level, the most significant differences between Polish and Peruvian communities in the United States are seen in no schooling completed (1.4% compared to 2.4%, a difference of 66.1%), doctorate degree (1.9% compared to 1.8%, a difference of 6.1%), and high school diploma (91.9% compared to 87.8%, a difference of 4.6%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), kindergarten (98.6% compared to 97.6%, a difference of 1.0%), and 1st grade (98.6% compared to 97.6%, a difference of 1.0%).
Polish vs Peruvian Education Level
Education Level MetricPolishPeruvian
No Schooling Completed
Exceptional
1.4%
Tragic
2.4%
Nursery School
Exceptional
98.6%
Tragic
97.6%
Kindergarten
Exceptional
98.6%
Tragic
97.6%
1st Grade
Exceptional
98.6%
Tragic
97.6%
2nd Grade
Exceptional
98.5%
Tragic
97.5%
3rd Grade
Exceptional
98.5%
Tragic
97.4%
4th Grade
Exceptional
98.4%
Tragic
97.1%
5th Grade
Exceptional
98.3%
Tragic
96.8%
6th Grade
Exceptional
98.1%
Tragic
96.4%
7th Grade
Exceptional
97.6%
Tragic
95.1%
8th Grade
Exceptional
97.4%
Tragic
94.7%
9th Grade
Exceptional
96.7%
Tragic
93.8%
10th Grade
Exceptional
95.8%
Tragic
92.6%
11th Grade
Exceptional
94.8%
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
88.5%
Tragic
84.7%
College, Under 1 year
Excellent
66.9%
Poor
64.1%
College, 1 year or more
Excellent
60.7%
Fair
58.6%
Associate's Degree
Excellent
48.0%
Average
46.4%
Bachelor's Degree
Good
39.1%
Good
38.3%
Master's Degree
Excellent
15.7%
Good
15.3%
Professional Degree
Good
4.6%
Good
4.5%
Doctorate Degree
Good
1.9%
Fair
1.8%

Polish vs Peruvian Disability

When considering disability, the most significant differences between Polish and Peruvian communities in the United States are seen in disability age under 5 (1.6% compared to 1.3%, a difference of 26.8%), hearing disability (3.4% compared to 2.7%, a difference of 25.6%), and disability age 18 to 34 (7.2% compared to 6.0%, a difference of 20.3%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 0.33%), vision disability (2.1% compared to 2.1%, a difference of 0.38%), and disability age 65 to 74 (22.0% compared to 22.2%, a difference of 0.91%).
Polish vs Peruvian Disability
Disability MetricPolishPeruvian
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
12.0%
Exceptional
10.4%
Females
Tragic
12.5%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.6%
Fair
1.3%
Age | 5 to 17 years
Tragic
5.9%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.2%
Exceptional
6.0%
Age | 35 to 64 years
Average
11.3%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
22.0%
Exceptional
22.2%
Age | Over 75 years
Exceptional
45.3%
Excellent
46.8%
Vision
Exceptional
2.1%
Exceptional
2.1%
Hearing
Tragic
3.4%
Exceptional
2.7%
Cognitive
Exceptional
16.4%
Exceptional
16.7%
Ambulatory
Fair
6.2%
Exceptional
5.7%
Self-Care
Excellent
2.4%
Exceptional
2.4%