Peruvian vs Pakistani 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 EuropeanNorwegianOkinawanOsageOttawaPaiutePalestinianPanamanianParaguayanPennsylvania 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
Pakistani
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

Pakistanis

Average
Good
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,084
SOCIAL INDEX
78.3/ 100
SOCIAL RATING
88th/ 347
SOCIAL RANK

Pakistani Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 273,535,692 people shows a poor positive correlation between the proportion of Pakistanis within Peruvian communities in the United States with a correlation coefficient (R) of 0.167. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.012% in Pakistanis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 12.3 Pakistanis.
Peruvian Integration in Pakistani Communities

Peruvian vs Pakistani Income

When considering income, the most significant differences between Peruvian and Pakistani communities in the United States are seen in householder income under 25 years ($56,052 compared to $53,325, a difference of 5.1%), per capita income ($44,479 compared to $45,587, a difference of 2.5%), and median male earnings ($55,659 compared to $56,719, a difference of 1.9%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($105,070 compared to $105,317, a difference of 0.23%), householder income ages 25 - 44 years ($98,886 compared to $98,401, a difference of 0.49%), and median household income ($90,261 compared to $89,638, a difference of 0.69%).
Peruvian vs Pakistani Income
Income MetricPeruvianPakistani
Per Capita Income
Good
$44,479
Excellent
$45,587
Median Family Income
Excellent
$105,444
Exceptional
$107,390
Median Household Income
Exceptional
$90,261
Exceptional
$89,638
Median Earnings
Excellent
$47,628
Exceptional
$48,254
Median Male Earnings
Good
$55,659
Excellent
$56,719
Median Female Earnings
Good
$40,234
Excellent
$40,596
Householder Age | Under 25 years
Exceptional
$56,052
Exceptional
$53,325
Householder Age | 25 - 44 years
Exceptional
$98,886
Excellent
$98,401
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$105,317
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$63,844
Wage/Income Gap
Good
25.6%
Fair
26.1%

Peruvian vs Pakistani Poverty

When considering poverty, the most significant differences between Peruvian and Pakistani communities in the United States are seen in female poverty among 18-24 year olds (17.2% compared to 19.8%, a difference of 15.2%), seniors poverty over the age of 75 (13.4% compared to 11.8%, a difference of 13.5%), and seniors poverty over the age of 65 (11.7% compared to 10.3%, a difference of 13.1%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (16.0% compared to 16.0%, a difference of 0.050%), female poverty (12.9% compared to 12.9%, a difference of 0.41%), and child poverty among girls under 16 (15.4% compared to 15.3%, a difference of 0.46%).
Peruvian vs Pakistani Poverty
Poverty MetricPeruvianPakistani
Poverty
Excellent
11.8%
Excellent
11.9%
Families
Good
8.8%
Exceptional
8.3%
Males
Excellent
10.7%
Excellent
10.8%
Females
Excellent
12.9%
Excellent
12.9%
Females 18 to 24 years
Exceptional
17.2%
Good
19.8%
Females 25 to 34 years
Exceptional
12.7%
Excellent
13.0%
Children Under 5 years
Exceptional
16.0%
Exceptional
16.0%
Children Under 16 years
Excellent
15.3%
Exceptional
15.0%
Boys Under 16 years
Excellent
15.5%
Exceptional
15.1%
Girls Under 16 years
Exceptional
15.4%
Exceptional
15.3%
Single Males
Exceptional
11.8%
Exceptional
12.4%
Single Females
Exceptional
19.4%
Exceptional
20.2%
Single Fathers
Exceptional
15.4%
Exceptional
15.7%
Single Mothers
Exceptional
27.5%
Exceptional
28.0%
Married Couples
Fair
5.3%
Exceptional
4.7%
Seniors Over 65 years
Tragic
11.7%
Exceptional
10.3%
Seniors Over 75 years
Tragic
13.4%
Excellent
11.8%
Receiving Food Stamps
Average
11.7%
Exceptional
10.4%

Peruvian vs Pakistani Unemployment

When considering unemployment, the most significant differences between Peruvian and Pakistani communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.4%, a difference of 9.4%), unemployment among women with children under 18 years (5.6% compared to 5.2%, a difference of 7.7%), and unemployment among ages 20 to 24 years (10.5% compared to 9.8%, a difference of 6.6%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.7% compared to 4.6%, a difference of 0.96%), unemployment among ages 25 to 29 years (6.6% compared to 6.5%, a difference of 1.7%), and unemployment among ages 30 to 34 years (5.5% compared to 5.4%, a difference of 1.9%).
Peruvian vs Pakistani Unemployment
Unemployment MetricPeruvianPakistani
Unemployment
Fair
5.3%
Excellent
5.1%
Males
Average
5.3%
Excellent
5.2%
Females
Tragic
5.4%
Excellent
5.1%
Youth < 25
Poor
11.8%
Exceptional
11.3%
Age | 16 to 19 years
Fair
17.7%
Excellent
17.2%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.8%
Age | 25 to 29 years
Good
6.6%
Excellent
6.5%
Age | 30 to 34 years
Average
5.5%
Good
5.4%
Age | 35 to 44 years
Average
4.7%
Good
4.6%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.4%
Age | 55 to 59 years
Fair
4.8%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.0%
Good
4.8%
Age | 65 to 74 years
Tragic
5.5%
Excellent
5.3%
Seniors > 65
Tragic
5.3%
Good
5.1%
Seniors > 75
Tragic
9.0%
Fair
8.9%
Women w/ Children < 6
Good
7.5%
Exceptional
7.3%
Women w/ Children 6 to 17
Tragic
9.2%
Exceptional
8.4%
Women w/ Children < 18
Poor
5.6%
Excellent
5.2%

Peruvian vs Pakistani Labor Participation

When considering labor participation, the most significant differences between Peruvian and Pakistani communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 37.6%, a difference of 8.5%), in labor force | age 20-24 (74.5% compared to 75.8%, a difference of 1.7%), and in labor force | age 45-54 (83.6% compared to 82.8%, a difference of 0.93%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.040%), in labor force | age 30-34 (84.8% compared to 84.7%, a difference of 0.040%), and in labor force | age 35-44 (84.9% compared to 84.4%, a difference of 0.67%).
Peruvian vs Pakistani Labor Participation
Labor Participation MetricPeruvianPakistani
In Labor Force | Age > 16
Exceptional
66.3%
Exceptional
65.8%
In Labor Force | Age 20-64
Exceptional
80.3%
Good
79.8%
In Labor Force | Age 16-19
Tragic
34.6%
Excellent
37.6%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
75.8%
In Labor Force | Age 25-29
Good
84.7%
Good
84.8%
In Labor Force | Age 30-34
Good
84.8%
Good
84.7%
In Labor Force | Age 35-44
Exceptional
84.9%
Average
84.4%
In Labor Force | Age 45-54
Exceptional
83.6%
Average
82.8%

Peruvian vs Pakistani Family Structure

When considering family structure, the most significant differences between Peruvian and Pakistani communities in the United States are seen in single mother households (6.5% compared to 6.1%, a difference of 7.4%), family households with children (29.0% compared to 27.9%, a difference of 3.8%), and family households (67.1% compared to 64.7%, a difference of 3.8%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.030%), married-couple households (47.6% compared to 47.3%, a difference of 0.62%), and currently married (46.6% compared to 47.2%, a difference of 1.1%).
Peruvian vs Pakistani Family Structure
Family Structure MetricPeruvianPakistani
Family Households
Exceptional
67.1%
Excellent
64.7%
Family Households with Children
Exceptional
29.0%
Exceptional
27.9%
Married-couple Households
Exceptional
47.6%
Excellent
47.3%
Average Family Size
Exceptional
3.30
Fair
3.22
Single Father Households
Fair
2.4%
Good
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%
Excellent
11.9%
Births to Unmarried Women
Average
31.5%
Excellent
30.5%

Peruvian vs Pakistani Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Pakistani communities in the United States are seen in no vehicles in household (11.2% compared to 9.0%, a difference of 25.3%), 4 or more vehicles in household (6.5% compared to 7.0%, a difference of 8.7%), and 3 or more vehicles in household (19.6% compared to 21.0%, a difference of 7.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 91.3%, a difference of 2.8%), 2 or more vehicles in household (55.0% compared to 57.9%, a difference of 5.3%), and 3 or more vehicles in household (19.6% compared to 21.0%, a difference of 7.2%).
Peruvian vs Pakistani Vehicle Availability
Vehicle Availability MetricPeruvianPakistani
No Vehicles Available
Tragic
11.2%
Exceptional
9.0%
1+ Vehicles Available
Tragic
88.8%
Exceptional
91.3%
2+ Vehicles Available
Fair
55.0%
Exceptional
57.9%
3+ Vehicles Available
Average
19.6%
Exceptional
21.0%
4+ Vehicles Available
Good
6.5%
Exceptional
7.0%

Peruvian vs Pakistani Education Level

When considering education level, the most significant differences between Peruvian and Pakistani communities in the United States are seen in doctorate degree (1.8% compared to 2.0%, a difference of 14.2%), no schooling completed (2.4% compared to 2.1%, a difference of 13.4%), and professional degree (4.5% compared to 4.8%, a difference of 5.9%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.9%, a difference of 0.30%), kindergarten (97.6% compared to 97.9%, a difference of 0.31%), and 1st grade (97.6% compared to 97.9%, a difference of 0.31%).
Peruvian vs Pakistani Education Level
Education Level MetricPeruvianPakistani
No Schooling Completed
Tragic
2.4%
Average
2.1%
Nursery School
Tragic
97.6%
Fair
97.9%
Kindergarten
Tragic
97.6%
Fair
97.9%
1st Grade
Tragic
97.6%
Fair
97.9%
2nd Grade
Tragic
97.5%
Fair
97.8%
3rd Grade
Tragic
97.4%
Fair
97.7%
4th Grade
Tragic
97.1%
Fair
97.5%
5th Grade
Tragic
96.8%
Average
97.3%
6th Grade
Tragic
96.4%
Average
97.0%
7th Grade
Tragic
95.1%
Average
96.0%
8th Grade
Tragic
94.7%
Average
95.7%
9th Grade
Tragic
93.8%
Good
95.0%
10th Grade
Tragic
92.6%
Good
93.9%
11th Grade
Tragic
91.5%
Good
92.8%
12th Grade, No Diploma
Tragic
90.2%
Good
91.5%
High School Diploma
Tragic
87.8%
Good
89.6%
GED/Equivalency
Tragic
84.7%
Excellent
86.4%
College, Under 1 year
Poor
64.1%
Exceptional
67.5%
College, 1 year or more
Fair
58.6%
Exceptional
61.5%
Associate's Degree
Average
46.4%
Excellent
48.1%
Bachelor's Degree
Good
38.3%
Excellent
39.7%
Master's Degree
Good
15.3%
Excellent
15.8%
Professional Degree
Good
4.5%
Exceptional
4.8%
Doctorate Degree
Fair
1.8%
Exceptional
2.0%

Peruvian vs Pakistani Disability

When considering disability, the most significant differences between Peruvian and Pakistani communities in the United States are seen in hearing disability (2.7% compared to 3.1%, a difference of 15.0%), disability age 35 to 64 (9.9% compared to 11.1%, a difference of 12.9%), and disability age 18 to 34 (6.0% compared to 6.7%, a difference of 11.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 47.7%, a difference of 1.7%), self-care disability (2.4% compared to 2.4%, a difference of 1.8%), and disability age under 5 (1.3% compared to 1.3%, a difference of 2.1%).
Peruvian vs Pakistani Disability
Disability MetricPeruvianPakistani
Disability
Exceptional
10.9%
Average
11.7%
Males
Exceptional
10.4%
Fair
11.3%
Females
Exceptional
11.3%
Excellent
12.0%
Age | Under 5 years
Fair
1.3%
Poor
1.3%
Age | 5 to 17 years
Exceptional
5.3%
Excellent
5.5%
Age | 18 to 34 years
Exceptional
6.0%
Fair
6.7%
Age | 35 to 64 years
Exceptional
9.9%
Good
11.1%
Age | 65 to 74 years
Exceptional
22.2%
Average
23.2%
Age | Over 75 years
Excellent
46.8%
Fair
47.7%
Vision
Exceptional
2.1%
Good
2.1%
Hearing
Exceptional
2.7%
Poor
3.1%
Cognitive
Exceptional
16.7%
Average
17.3%
Ambulatory
Exceptional
5.7%
Excellent
6.0%
Self-Care
Exceptional
2.4%
Good
2.4%