Pakistani vs Peruvian Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Pakistanis

Peruvians

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

Peruvian Integration in Pakistani Communities

The statistical analysis conducted on geographies consisting of 273,535,692 people shows a strong positive correlation between the proportion of Peruvians within Pakistani communities in the United States with a correlation coefficient (R) of 0.742. On average, for every 1% (one percent) increase in Pakistanis within a typical geography, there is an increase of 0.603% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pakistanis corresponds to an increase of 603.2 Peruvians.
Pakistani Integration in Peruvian Communities

Pakistani vs Peruvian Income

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

Pakistani vs Peruvian Poverty

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

Pakistani vs Peruvian Unemployment

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

Pakistani vs Peruvian Labor Participation

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

Pakistani vs Peruvian Family Structure

When considering family structure, the most significant differences between Pakistani and Peruvian communities in the United States are seen in single mother households (6.1% compared to 6.5%, a difference of 7.4%), family households with children (27.9% compared to 29.0%, a difference of 3.8%), and family households (64.7% compared to 67.1%, 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 (47.3% compared to 47.6%, a difference of 0.62%), and currently married (47.2% compared to 46.6%, a difference of 1.1%).
Pakistani vs Peruvian Family Structure
Family Structure MetricPakistaniPeruvian
Family Households
Excellent
64.7%
Exceptional
67.1%
Family Households with Children
Exceptional
27.9%
Exceptional
29.0%
Married-couple Households
Excellent
47.3%
Exceptional
47.6%
Average Family Size
Fair
3.22
Exceptional
3.30
Single Father Households
Good
2.3%
Fair
2.4%
Single Mother Households
Good
6.1%
Fair
6.5%
Currently Married
Good
47.2%
Average
46.6%
Divorced or Separated
Excellent
11.9%
Excellent
11.9%
Births to Unmarried Women
Excellent
30.5%
Average
31.5%

Pakistani vs Peruvian Vehicle Availability

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

Pakistani vs Peruvian Education Level

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

Pakistani vs Peruvian Disability

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