Japanese vs Peruvian Community Comparison

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Japanese
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Japanese

Peruvians

Fair
Average
2,662
SOCIAL INDEX
24.2/ 100
SOCIAL RATING
248th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Japanese Communities

The statistical analysis conducted on geographies consisting of 214,291,714 people shows a significant negative correlation between the proportion of Peruvians within Japanese communities in the United States with a correlation coefficient (R) of -0.628. On average, for every 1% (one percent) increase in Japanese within a typical geography, there is a decrease of 0.022% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Japanese corresponds to a decrease of 21.7 Peruvians.
Japanese Integration in Peruvian Communities

Japanese vs Peruvian Income

When considering income, the most significant differences between Japanese and Peruvian communities in the United States are seen in per capita income ($39,870 compared to $44,479, a difference of 11.6%), householder income ages 45 - 64 years ($96,834 compared to $105,070, a difference of 8.5%), and median family income ($97,288 compared to $105,444, a difference of 8.4%). Conversely, both communities are more comparable in terms of median female earnings ($38,528 compared to $40,234, a difference of 4.4%), median earnings ($44,825 compared to $47,628, a difference of 6.2%), and householder income under 25 years ($52,365 compared to $56,052, a difference of 7.0%).
Japanese vs Peruvian Income
Income MetricJapanesePeruvian
Per Capita Income
Tragic
$39,870
Good
$44,479
Median Family Income
Tragic
$97,288
Excellent
$105,444
Median Household Income
Fair
$83,395
Exceptional
$90,261
Median Earnings
Tragic
$44,825
Excellent
$47,628
Median Male Earnings
Tragic
$51,473
Good
$55,659
Median Female Earnings
Tragic
$38,528
Good
$40,234
Householder Age | Under 25 years
Good
$52,365
Exceptional
$56,052
Householder Age | 25 - 44 years
Poor
$91,624
Exceptional
$98,886
Householder Age | 45 - 64 years
Poor
$96,834
Exceptional
$105,070
Householder Age | Over 65 years
Tragic
$57,919
Excellent
$62,766
Wage/Income Gap
Exceptional
23.8%
Good
25.6%

Japanese vs Peruvian Poverty

When considering poverty, the most significant differences between Japanese and Peruvian communities in the United States are seen in receiving food stamps (14.1% compared to 11.7%, a difference of 19.9%), child poverty among girls under 16 (17.8% compared to 15.4%, a difference of 16.0%), and child poverty under the age of 16 (17.7% compared to 15.3%, a difference of 15.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.3% compared to 13.4%, a difference of 0.21%), single father poverty (15.2% compared to 15.4%, a difference of 1.2%), and seniors poverty over the age of 65 (12.2% compared to 11.7%, a difference of 4.0%).
Japanese vs Peruvian Poverty
Poverty MetricJapanesePeruvian
Poverty
Tragic
13.3%
Excellent
11.8%
Families
Tragic
9.9%
Good
8.8%
Males
Tragic
12.2%
Excellent
10.7%
Females
Tragic
14.5%
Excellent
12.9%
Females 18 to 24 years
Exceptional
18.8%
Exceptional
17.2%
Females 25 to 34 years
Poor
14.1%
Exceptional
12.7%
Children Under 5 years
Poor
18.1%
Exceptional
16.0%
Children Under 16 years
Tragic
17.7%
Excellent
15.3%
Boys Under 16 years
Tragic
17.7%
Excellent
15.5%
Girls Under 16 years
Tragic
17.8%
Exceptional
15.4%
Single Males
Poor
13.1%
Exceptional
11.8%
Single Females
Fair
21.3%
Exceptional
19.4%
Single Fathers
Exceptional
15.2%
Exceptional
15.4%
Single Mothers
Good
28.9%
Exceptional
27.5%
Married Couples
Tragic
5.6%
Fair
5.3%
Seniors Over 65 years
Tragic
12.2%
Tragic
11.7%
Seniors Over 75 years
Tragic
13.3%
Tragic
13.4%
Receiving Food Stamps
Tragic
14.1%
Average
11.7%

Japanese vs Peruvian Unemployment

When considering unemployment, the most significant differences between Japanese and Peruvian communities in the United States are seen in male unemployment (5.8% compared to 5.3%, a difference of 9.3%), unemployment among women with children ages 6 to 17 years (8.4% compared to 9.2%, a difference of 8.9%), and unemployment among seniors over 75 years (8.3% compared to 9.0%, a difference of 8.7%). 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 0.22%), unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.61%), and unemployment among women with children under 18 years (5.7% compared to 5.6%, a difference of 0.62%).
Japanese vs Peruvian Unemployment
Unemployment MetricJapanesePeruvian
Unemployment
Tragic
5.6%
Fair
5.3%
Males
Tragic
5.8%
Average
5.3%
Females
Tragic
5.6%
Tragic
5.4%
Youth < 25
Fair
11.7%
Poor
11.8%
Age | 16 to 19 years
Average
17.6%
Fair
17.7%
Age | 20 to 24 years
Exceptional
10.0%
Poor
10.5%
Age | 25 to 29 years
Tragic
6.9%
Good
6.6%
Age | 30 to 34 years
Tragic
5.9%
Average
5.5%
Age | 35 to 44 years
Tragic
5.1%
Average
4.7%
Age | 45 to 54 years
Tragic
4.7%
Fair
4.6%
Age | 55 to 59 years
Average
4.8%
Fair
4.8%
Age | 60 to 64 years
Tragic
5.1%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.5%
Seniors > 65
Exceptional
4.9%
Tragic
5.3%
Seniors > 75
Exceptional
8.3%
Tragic
9.0%
Women w/ Children < 6
Good
7.5%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.4%
Tragic
9.2%
Women w/ Children < 18
Tragic
5.7%
Poor
5.6%

Japanese vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Japanese and Peruvian communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 34.6%, a difference of 8.5%), in labor force | age 45-54 (81.6% compared to 83.6%, a difference of 2.4%), and in labor force | age 35-44 (83.6% compared to 84.9%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.7%, a difference of 0.49%), in labor force | age 30-34 (84.3% compared to 84.8%, a difference of 0.53%), and in labor force | age > 16 (65.8% compared to 66.3%, a difference of 0.72%).
Japanese vs Peruvian Labor Participation
Labor Participation MetricJapanesePeruvian
In Labor Force | Age > 16
Exceptional
65.8%
Exceptional
66.3%
In Labor Force | Age 20-64
Tragic
79.1%
Exceptional
80.3%
In Labor Force | Age 16-19
Excellent
37.5%
Tragic
34.6%
In Labor Force | Age 20-24
Good
75.3%
Poor
74.5%
In Labor Force | Age 25-29
Poor
84.3%
Good
84.7%
In Labor Force | Age 30-34
Tragic
84.3%
Good
84.8%
In Labor Force | Age 35-44
Tragic
83.6%
Exceptional
84.9%
In Labor Force | Age 45-54
Tragic
81.6%
Exceptional
83.6%

Japanese vs Peruvian Family Structure

When considering family structure, the most significant differences between Japanese and Peruvian communities in the United States are seen in single father households (2.8% compared to 2.4%, a difference of 15.6%), single mother households (7.4% compared to 6.5%, a difference of 13.3%), and births to unmarried women (35.2% compared to 31.5%, a difference of 11.6%). Conversely, both communities are more comparable in terms of divorced or separated (12.0% compared to 11.9%, a difference of 0.49%), average family size (3.35 compared to 3.30, a difference of 1.5%), and family households with children (29.4% compared to 29.0%, a difference of 1.5%).
Japanese vs Peruvian Family Structure
Family Structure MetricJapanesePeruvian
Family Households
Exceptional
65.9%
Exceptional
67.1%
Family Households with Children
Exceptional
29.4%
Exceptional
29.0%
Married-couple Households
Tragic
45.2%
Exceptional
47.6%
Average Family Size
Exceptional
3.35
Exceptional
3.30
Single Father Households
Tragic
2.8%
Fair
2.4%
Single Mother Households
Tragic
7.4%
Fair
6.5%
Currently Married
Tragic
44.5%
Average
46.6%
Divorced or Separated
Good
12.0%
Excellent
11.9%
Births to Unmarried Women
Tragic
35.2%
Average
31.5%

Japanese vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Japanese and Peruvian communities in the United States are seen in no vehicles in household (9.4% compared to 11.2%, a difference of 19.3%), 4 or more vehicles in household (7.7% compared to 6.5%, a difference of 19.1%), and 3 or more vehicles in household (21.8% compared to 19.6%, a difference of 11.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.6% compared to 88.8%, a difference of 2.0%), 2 or more vehicles in household (57.5% compared to 55.0%, a difference of 4.6%), and 3 or more vehicles in household (21.8% compared to 19.6%, a difference of 11.0%).
Japanese vs Peruvian Vehicle Availability
Vehicle Availability MetricJapanesePeruvian
No Vehicles Available
Exceptional
9.4%
Tragic
11.2%
1+ Vehicles Available
Exceptional
90.6%
Tragic
88.8%
2+ Vehicles Available
Exceptional
57.5%
Fair
55.0%
3+ Vehicles Available
Exceptional
21.8%
Average
19.6%
4+ Vehicles Available
Exceptional
7.7%
Good
6.5%

Japanese vs Peruvian Education Level

When considering education level, the most significant differences between Japanese and Peruvian communities in the United States are seen in no schooling completed (3.3% compared to 2.4%, a difference of 40.1%), professional degree (3.5% compared to 4.5%, a difference of 27.0%), and master's degree (12.5% compared to 15.3%, a difference of 22.4%). Conversely, both communities are more comparable in terms of kindergarten (96.7% compared to 97.6%, a difference of 0.98%), nursery school (96.7% compared to 97.6%, a difference of 0.99%), and 1st grade (96.6% compared to 97.6%, a difference of 0.99%).
Japanese vs Peruvian Education Level
Education Level MetricJapanesePeruvian
No Schooling Completed
Tragic
3.3%
Tragic
2.4%
Nursery School
Tragic
96.7%
Tragic
97.6%
Kindergarten
Tragic
96.7%
Tragic
97.6%
1st Grade
Tragic
96.6%
Tragic
97.6%
2nd Grade
Tragic
96.5%
Tragic
97.5%
3rd Grade
Tragic
96.4%
Tragic
97.4%
4th Grade
Tragic
96.0%
Tragic
97.1%
5th Grade
Tragic
95.7%
Tragic
96.8%
6th Grade
Tragic
95.4%
Tragic
96.4%
7th Grade
Tragic
94.0%
Tragic
95.1%
8th Grade
Tragic
93.6%
Tragic
94.7%
9th Grade
Tragic
92.6%
Tragic
93.8%
10th Grade
Tragic
91.2%
Tragic
92.6%
11th Grade
Tragic
89.9%
Tragic
91.5%
12th Grade, No Diploma
Tragic
88.3%
Tragic
90.2%
High School Diploma
Tragic
85.9%
Tragic
87.8%
GED/Equivalency
Tragic
82.4%
Tragic
84.7%
College, Under 1 year
Tragic
61.5%
Poor
64.1%
College, 1 year or more
Tragic
55.2%
Fair
58.6%
Associate's Degree
Tragic
41.7%
Average
46.4%
Bachelor's Degree
Tragic
33.3%
Good
38.3%
Master's Degree
Tragic
12.5%
Good
15.3%
Professional Degree
Tragic
3.5%
Good
4.5%
Doctorate Degree
Tragic
1.5%
Fair
1.8%

Japanese vs Peruvian Disability

When considering disability, the most significant differences between Japanese and Peruvian communities in the United States are seen in disability age 35 to 64 (12.3% compared to 9.9%, a difference of 25.3%), disability age 65 to 74 (25.7% compared to 22.2%, a difference of 15.6%), and disability age 18 to 34 (6.8% compared to 6.0%, a difference of 14.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.3%, a difference of 6.5%), disability age over 75 (50.2% compared to 46.8%, a difference of 7.2%), and cognitive disability (18.3% compared to 16.7%, a difference of 9.5%).
Japanese vs Peruvian Disability
Disability MetricJapanesePeruvian
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
11.7%
Exceptional
10.4%
Females
Tragic
12.6%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.2%
Fair
1.3%
Age | 5 to 17 years
Tragic
6.1%
Exceptional
5.3%
Age | 18 to 34 years
Poor
6.8%
Exceptional
6.0%
Age | 35 to 64 years
Tragic
12.3%
Exceptional
9.9%
Age | 65 to 74 years
Tragic
25.7%
Exceptional
22.2%
Age | Over 75 years
Tragic
50.2%
Excellent
46.8%
Vision
Tragic
2.4%
Exceptional
2.1%
Hearing
Average
3.0%
Exceptional
2.7%
Cognitive
Tragic
18.3%
Exceptional
16.7%
Ambulatory
Poor
6.3%
Exceptional
5.7%
Self-Care
Tragic
2.7%
Exceptional
2.4%