Peruvian vs Japanese 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)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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Peruvians

Japanese

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

Japanese Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 214,286,522 people shows a mild negative correlation between the proportion of Japanese within Peruvian communities in the United States with a correlation coefficient (R) of -0.301. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is a decrease of 0.022% in Japanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to a decrease of 22.2 Japanese.
Peruvian Integration in Japanese Communities

Peruvian vs Japanese Income

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

Peruvian vs Japanese Poverty

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

Peruvian vs Japanese Unemployment

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

Peruvian vs Japanese Labor Participation

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

Peruvian vs Japanese Family Structure

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

Peruvian vs Japanese Vehicle Availability

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

Peruvian vs Japanese Education Level

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

Peruvian vs Japanese Disability

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