Peruvian vs Chinese Community Comparison

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Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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
Chinese
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

Chinese

Average
Exceptional
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
9,296
SOCIAL INDEX
90.4/ 100
SOCIAL RATING
23rd/ 347
SOCIAL RANK

Chinese Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 60,555,218 people shows a weak positive correlation between the proportion of Chinese within Peruvian communities in the United States with a correlation coefficient (R) of 0.226. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.008% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 7.6 Chinese.
Peruvian Integration in Chinese Communities

Peruvian vs Chinese Income

When considering income, the most significant differences between Peruvian and Chinese communities in the United States are seen in householder income over 65 years ($62,766 compared to $77,465, a difference of 23.4%), householder income ages 45 - 64 years ($105,070 compared to $116,156, a difference of 10.5%), and median family income ($105,444 compared to $116,188, a difference of 10.2%). Conversely, both communities are more comparable in terms of wage/income gap (25.6% compared to 25.9%, a difference of 1.2%), median male earnings ($55,659 compared to $56,872, a difference of 2.2%), and median earnings ($47,628 compared to $48,836, a difference of 2.5%).
Peruvian vs Chinese Income
Income MetricPeruvianChinese
Per Capita Income
Good
$44,479
Exceptional
$46,098
Median Family Income
Excellent
$105,444
Exceptional
$116,188
Median Household Income
Exceptional
$90,261
Exceptional
$98,496
Median Earnings
Excellent
$47,628
Exceptional
$48,836
Median Male Earnings
Good
$55,659
Exceptional
$56,872
Median Female Earnings
Good
$40,234
Exceptional
$41,461
Householder Age | Under 25 years
Exceptional
$56,052
Exceptional
$58,162
Householder Age | 25 - 44 years
Exceptional
$98,886
Exceptional
$104,264
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$116,156
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$77,465
Wage/Income Gap
Good
25.6%
Average
25.9%

Peruvian vs Chinese Poverty

When considering poverty, the most significant differences between Peruvian and Chinese communities in the United States are seen in seniors poverty over the age of 75 (13.4% compared to 9.1%, a difference of 47.4%), married-couple family poverty (5.3% compared to 3.6%, a difference of 45.2%), and seniors poverty over the age of 65 (11.7% compared to 8.3%, a difference of 40.3%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.4%, a difference of 0.14%), female poverty among 18-24 year olds (17.2% compared to 16.2%, a difference of 6.6%), and single male poverty (11.8% compared to 11.0%, a difference of 7.2%).
Peruvian vs Chinese Poverty
Poverty MetricPeruvianChinese
Poverty
Excellent
11.8%
Exceptional
9.5%
Families
Good
8.8%
Exceptional
6.5%
Males
Excellent
10.7%
Exceptional
8.7%
Females
Excellent
12.9%
Exceptional
10.4%
Females 18 to 24 years
Exceptional
17.2%
Exceptional
16.2%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
11.0%
Children Under 5 years
Exceptional
16.0%
Exceptional
13.1%
Children Under 16 years
Excellent
15.3%
Exceptional
11.9%
Boys Under 16 years
Excellent
15.5%
Exceptional
11.9%
Girls Under 16 years
Exceptional
15.4%
Exceptional
12.3%
Single Males
Exceptional
11.8%
Exceptional
11.0%
Single Females
Exceptional
19.4%
Exceptional
16.1%
Single Fathers
Exceptional
15.4%
Exceptional
15.4%
Single Mothers
Exceptional
27.5%
Exceptional
24.6%
Married Couples
Fair
5.3%
Exceptional
3.6%
Seniors Over 65 years
Tragic
11.7%
Exceptional
8.3%
Seniors Over 75 years
Tragic
13.4%
Exceptional
9.1%
Receiving Food Stamps
Average
11.7%
Exceptional
9.8%

Peruvian vs Chinese Unemployment

When considering unemployment, the most significant differences between Peruvian and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 5.9%, a difference of 53.0%), unemployment among seniors over 65 years (5.3% compared to 4.2%, a difference of 27.4%), and unemployment among ages 60 to 64 years (5.0% compared to 4.0%, a difference of 25.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 9.3%, a difference of 0.63%), unemployment among ages 30 to 34 years (5.5% compared to 5.1%, a difference of 6.9%), and male unemployment (5.3% compared to 4.9%, a difference of 7.6%).
Peruvian vs Chinese Unemployment
Unemployment MetricPeruvianChinese
Unemployment
Fair
5.3%
Exceptional
4.7%
Males
Average
5.3%
Exceptional
4.9%
Females
Tragic
5.4%
Exceptional
4.5%
Youth < 25
Poor
11.8%
Exceptional
10.7%
Age | 16 to 19 years
Fair
17.7%
Exceptional
16.0%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.4%
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
4.3%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.0%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.4%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.0%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
4.4%
Seniors > 65
Tragic
5.3%
Exceptional
4.2%
Seniors > 75
Tragic
9.0%
Exceptional
5.9%
Women w/ Children < 6
Good
7.5%
Exceptional
6.8%
Women w/ Children 6 to 17
Tragic
9.2%
Tragic
9.3%
Women w/ Children < 18
Poor
5.6%
Exceptional
4.9%

Peruvian vs Chinese Labor Participation

When considering labor participation, the most significant differences between Peruvian and Chinese communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 38.6%, a difference of 11.6%), in labor force | age 20-24 (74.5% compared to 77.3%, a difference of 3.7%), and in labor force | age > 16 (66.3% compared to 64.7%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 85.1%, a difference of 0.18%), in labor force | age 30-34 (84.8% compared to 85.0%, a difference of 0.26%), and in labor force | age 20-64 (80.3% compared to 80.7%, a difference of 0.44%).
Peruvian vs Chinese Labor Participation
Labor Participation MetricPeruvianChinese
In Labor Force | Age > 16
Exceptional
66.3%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.7%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
38.6%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
77.3%
In Labor Force | Age 25-29
Good
84.7%
Poor
84.3%
In Labor Force | Age 30-34
Good
84.8%
Excellent
85.0%
In Labor Force | Age 35-44
Exceptional
84.9%
Exceptional
85.1%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
84.1%

Peruvian vs Chinese Family Structure

When considering family structure, the most significant differences between Peruvian and Chinese communities in the United States are seen in single mother households (6.5% compared to 5.2%, a difference of 26.6%), single father households (2.4% compared to 2.0%, a difference of 20.7%), and family households with children (29.0% compared to 26.0%, a difference of 11.5%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.34, a difference of 1.3%), family households (67.1% compared to 68.1%, a difference of 1.5%), and births to unmarried women (31.5% compared to 30.2%, a difference of 4.2%).
Peruvian vs Chinese Family Structure
Family Structure MetricPeruvianChinese
Family Households
Exceptional
67.1%
Exceptional
68.1%
Family Households with Children
Exceptional
29.0%
Tragic
26.0%
Married-couple Households
Exceptional
47.6%
Exceptional
50.4%
Average Family Size
Exceptional
3.30
Exceptional
3.34
Single Father Households
Fair
2.4%
Exceptional
2.0%
Single Mother Households
Fair
6.5%
Exceptional
5.2%
Currently Married
Average
46.6%
Exceptional
49.5%
Divorced or Separated
Excellent
11.9%
Exceptional
11.2%
Births to Unmarried Women
Average
31.5%
Excellent
30.2%

Peruvian vs Chinese Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Chinese communities in the United States are seen in 4 or more vehicles in household (6.5% compared to 8.8%, a difference of 37.0%), no vehicles in household (11.2% compared to 8.2%, a difference of 36.8%), and 3 or more vehicles in household (19.6% compared to 23.9%, a difference of 21.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 91.9%, a difference of 3.4%), 2 or more vehicles in household (55.0% compared to 60.1%, a difference of 9.3%), and 3 or more vehicles in household (19.6% compared to 23.9%, a difference of 21.6%).
Peruvian vs Chinese Vehicle Availability
Vehicle Availability MetricPeruvianChinese
No Vehicles Available
Tragic
11.2%
Exceptional
8.2%
1+ Vehicles Available
Tragic
88.8%
Exceptional
91.9%
2+ Vehicles Available
Fair
55.0%
Exceptional
60.1%
3+ Vehicles Available
Average
19.6%
Exceptional
23.9%
4+ Vehicles Available
Good
6.5%
Exceptional
8.8%

Peruvian vs Chinese Education Level

When considering education level, the most significant differences between Peruvian and Chinese communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 62.2%), college, under 1 year (64.1% compared to 68.3%, a difference of 6.6%), and college, 1 year or more (58.6% compared to 62.2%, a difference of 6.1%). Conversely, both communities are more comparable in terms of bachelor's degree (38.3% compared to 38.5%, a difference of 0.34%), nursery school (97.6% compared to 98.6%, a difference of 0.95%), and kindergarten (97.6% compared to 98.5%, a difference of 0.96%).
Peruvian vs Chinese Education Level
Education Level MetricPeruvianChinese
No Schooling Completed
Tragic
2.4%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.6%
Kindergarten
Tragic
97.6%
Exceptional
98.5%
1st Grade
Tragic
97.6%
Exceptional
98.5%
2nd Grade
Tragic
97.5%
Exceptional
98.5%
3rd Grade
Tragic
97.4%
Exceptional
98.4%
4th Grade
Tragic
97.1%
Exceptional
98.3%
5th Grade
Tragic
96.8%
Exceptional
98.1%
6th Grade
Tragic
96.4%
Exceptional
97.9%
7th Grade
Tragic
95.1%
Exceptional
97.1%
8th Grade
Tragic
94.7%
Exceptional
96.9%
9th Grade
Tragic
93.8%
Exceptional
96.3%
10th Grade
Tragic
92.6%
Exceptional
95.5%
11th Grade
Tragic
91.5%
Exceptional
94.6%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
93.6%
High School Diploma
Tragic
87.8%
Exceptional
92.0%
GED/Equivalency
Tragic
84.7%
Exceptional
89.0%
College, Under 1 year
Poor
64.1%
Exceptional
68.3%
College, 1 year or more
Fair
58.6%
Exceptional
62.2%
Associate's Degree
Average
46.4%
Exceptional
48.5%
Bachelor's Degree
Good
38.3%
Good
38.5%
Master's Degree
Good
15.3%
Fair
14.6%
Professional Degree
Good
4.5%
Average
4.5%
Doctorate Degree
Fair
1.8%
Fair
1.8%

Peruvian vs Chinese Disability

When considering disability, the most significant differences between Peruvian and Chinese communities in the United States are seen in hearing disability (2.7% compared to 3.7%, a difference of 34.8%), male disability (10.4% compared to 12.1%, a difference of 16.4%), and ambulatory disability (5.7% compared to 6.5%, a difference of 14.1%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.0%, a difference of 1.5%), disability age 65 to 74 (22.2% compared to 21.7%, a difference of 2.5%), and disability age over 75 (46.8% compared to 48.7%, a difference of 4.0%).
Peruvian vs Chinese Disability
Disability MetricPeruvianChinese
Disability
Exceptional
10.9%
Tragic
12.2%
Males
Exceptional
10.4%
Tragic
12.1%
Females
Exceptional
11.3%
Fair
12.3%
Age | Under 5 years
Fair
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.3%
Exceptional
4.7%
Age | 18 to 34 years
Exceptional
6.0%
Exceptional
6.3%
Age | 35 to 64 years
Exceptional
9.9%
Exceptional
10.3%
Age | 65 to 74 years
Exceptional
22.2%
Exceptional
21.7%
Age | Over 75 years
Excellent
46.8%
Tragic
48.7%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Exceptional
2.7%
Tragic
3.7%
Cognitive
Exceptional
16.7%
Exceptional
15.9%
Ambulatory
Exceptional
5.7%
Tragic
6.5%
Self-Care
Exceptional
2.4%
Tragic
2.6%