Peruvian vs British Community Comparison

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Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
British
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

British

Average
Good
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,012
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
92nd/ 347
SOCIAL RANK

British Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 351,652,262 people shows a slight positive correlation between the proportion of British within Peruvian communities in the United States with a correlation coefficient (R) of 0.100. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.008% in British. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 7.7 British.
Peruvian Integration in British Communities

Peruvian vs British Income

When considering income, the most significant differences between Peruvian and British communities in the United States are seen in wage/income gap (25.6% compared to 28.9%, a difference of 12.9%), householder income under 25 years ($56,052 compared to $51,477, a difference of 8.9%), and per capita income ($44,479 compared to $46,571, a difference of 4.7%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($98,886 compared to $98,359, a difference of 0.54%), householder income ages 45 - 64 years ($105,070 compared to $106,264, a difference of 1.1%), and median female earnings ($40,234 compared to $39,772, a difference of 1.2%).
Peruvian vs British Income
Income MetricPeruvianBritish
Per Capita Income
Good
$44,479
Exceptional
$46,571
Median Family Income
Excellent
$105,444
Exceptional
$108,705
Median Household Income
Exceptional
$90,261
Exceptional
$88,914
Median Earnings
Excellent
$47,628
Exceptional
$48,189
Median Male Earnings
Good
$55,659
Exceptional
$57,890
Median Female Earnings
Good
$40,234
Average
$39,772
Householder Age | Under 25 years
Exceptional
$56,052
Poor
$51,477
Householder Age | 25 - 44 years
Exceptional
$98,886
Excellent
$98,359
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$106,264
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$63,940
Wage/Income Gap
Good
25.6%
Tragic
28.9%

Peruvian vs British Poverty

When considering poverty, the most significant differences between Peruvian and British communities in the United States are seen in seniors poverty over the age of 75 (13.4% compared to 10.7%, a difference of 24.4%), seniors poverty over the age of 65 (11.7% compared to 9.4%, a difference of 24.2%), and married-couple family poverty (5.3% compared to 4.3%, a difference of 23.1%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (16.0% compared to 16.3%, a difference of 1.8%), child poverty among girls under 16 (15.4% compared to 15.0%, a difference of 2.3%), and male poverty (10.7% compared to 10.4%, a difference of 2.6%).
Peruvian vs British Poverty
Poverty MetricPeruvianBritish
Poverty
Excellent
11.8%
Exceptional
11.4%
Families
Good
8.8%
Exceptional
7.9%
Males
Excellent
10.7%
Exceptional
10.4%
Females
Excellent
12.9%
Exceptional
12.5%
Females 18 to 24 years
Exceptional
17.2%
Tragic
20.7%
Females 25 to 34 years
Exceptional
12.7%
Good
13.4%
Children Under 5 years
Exceptional
16.0%
Excellent
16.3%
Children Under 16 years
Excellent
15.3%
Exceptional
14.7%
Boys Under 16 years
Excellent
15.5%
Exceptional
15.0%
Girls Under 16 years
Exceptional
15.4%
Exceptional
15.0%
Single Males
Exceptional
11.8%
Tragic
13.3%
Single Females
Exceptional
19.4%
Average
21.1%
Single Fathers
Exceptional
15.4%
Tragic
16.8%
Single Mothers
Exceptional
27.5%
Average
29.2%
Married Couples
Fair
5.3%
Exceptional
4.3%
Seniors Over 65 years
Tragic
11.7%
Exceptional
9.4%
Seniors Over 75 years
Tragic
13.4%
Exceptional
10.7%
Receiving Food Stamps
Average
11.7%
Exceptional
9.7%

Peruvian vs British Unemployment

When considering unemployment, the most significant differences between Peruvian and British communities in the United States are seen in female unemployment (5.4% compared to 4.7%, a difference of 14.7%), unemployment (5.3% compared to 4.7%, a difference of 13.2%), and unemployment among women with children under 18 years (5.6% compared to 5.0%, a difference of 12.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.6%, a difference of 0.47%), unemployment among ages 25 to 29 years (6.6% compared to 6.4%, a difference of 2.4%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 8.9%, a difference of 2.8%).
Peruvian vs British Unemployment
Unemployment MetricPeruvianBritish
Unemployment
Fair
5.3%
Exceptional
4.7%
Males
Average
5.3%
Exceptional
4.8%
Females
Tragic
5.4%
Exceptional
4.7%
Youth < 25
Poor
11.8%
Exceptional
10.9%
Age | 16 to 19 years
Fair
17.7%
Exceptional
16.5%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.8%
Age | 25 to 29 years
Good
6.6%
Exceptional
6.4%
Age | 30 to 34 years
Average
5.5%
Excellent
5.3%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.4%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.1%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.2%
Seniors > 65
Tragic
5.3%
Exceptional
4.9%
Seniors > 75
Tragic
9.0%
Tragic
9.6%
Women w/ Children < 6
Good
7.5%
Good
7.6%
Women w/ Children 6 to 17
Tragic
9.2%
Average
8.9%
Women w/ Children < 18
Poor
5.6%
Exceptional
5.0%

Peruvian vs British Labor Participation

When considering labor participation, the most significant differences between Peruvian and British communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 40.5%, a difference of 17.0%), in labor force | age 20-24 (74.5% compared to 76.7%, a difference of 2.9%), 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 25-29 (84.7% compared to 84.7%, a difference of 0.030%), in labor force | age 30-34 (84.8% compared to 84.5%, a difference of 0.33%), and in labor force | age 35-44 (84.9% compared to 84.2%, a difference of 0.85%).
Peruvian vs British Labor Participation
Labor Participation MetricPeruvianBritish
In Labor Force | Age > 16
Exceptional
66.3%
Tragic
64.7%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
40.5%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
76.7%
In Labor Force | Age 25-29
Good
84.7%
Good
84.7%
In Labor Force | Age 30-34
Good
84.8%
Fair
84.5%
In Labor Force | Age 35-44
Exceptional
84.9%
Fair
84.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Fair
82.6%

Peruvian vs British Family Structure

When considering family structure, the most significant differences between Peruvian and British communities in the United States are seen in single mother households (6.5% compared to 5.8%, a difference of 13.0%), single father households (2.4% compared to 2.2%, a difference of 6.8%), and family households with children (29.0% compared to 27.4%, a difference of 5.6%). Conversely, both communities are more comparable in terms of births to unmarried women (31.5% compared to 30.8%, a difference of 2.3%), married-couple households (47.6% compared to 48.7%, a difference of 2.3%), and divorced or separated (11.9% compared to 12.3%, a difference of 3.0%).
Peruvian vs British Family Structure
Family Structure MetricPeruvianBritish
Family Households
Exceptional
67.1%
Good
64.4%
Family Households with Children
Exceptional
29.0%
Average
27.4%
Married-couple Households
Exceptional
47.6%
Exceptional
48.7%
Average Family Size
Exceptional
3.30
Tragic
3.13
Single Father Households
Fair
2.4%
Exceptional
2.2%
Single Mother Households
Fair
6.5%
Exceptional
5.8%
Currently Married
Average
46.6%
Exceptional
48.8%
Divorced or Separated
Excellent
11.9%
Poor
12.3%
Births to Unmarried Women
Average
31.5%
Good
30.8%

Peruvian vs British Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and British communities in the United States are seen in no vehicles in household (11.2% compared to 7.6%, a difference of 48.2%), 3 or more vehicles in household (19.6% compared to 21.9%, a difference of 11.6%), and 4 or more vehicles in household (6.5% compared to 7.2%, a difference of 11.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 92.5%, a difference of 4.2%), 2 or more vehicles in household (55.0% compared to 60.0%, a difference of 9.2%), and 4 or more vehicles in household (6.5% compared to 7.2%, a difference of 11.5%).
Peruvian vs British Vehicle Availability
Vehicle Availability MetricPeruvianBritish
No Vehicles Available
Tragic
11.2%
Exceptional
7.6%
1+ Vehicles Available
Tragic
88.8%
Exceptional
92.5%
2+ Vehicles Available
Fair
55.0%
Exceptional
60.0%
3+ Vehicles Available
Average
19.6%
Exceptional
21.9%
4+ Vehicles Available
Good
6.5%
Exceptional
7.2%

Peruvian vs British Education Level

When considering education level, the most significant differences between Peruvian and British communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 57.0%), doctorate degree (1.8% compared to 2.2%, a difference of 20.8%), and professional degree (4.5% compared to 5.0%, a difference of 11.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.5%, a difference of 0.93%), kindergarten (97.6% compared to 98.5%, a difference of 0.94%), and 1st grade (97.6% compared to 98.5%, a difference of 0.95%).
Peruvian vs British Education Level
Education Level MetricPeruvianBritish
No Schooling Completed
Tragic
2.4%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.5%
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
98.2%
5th Grade
Tragic
96.8%
Exceptional
98.1%
6th Grade
Tragic
96.4%
Exceptional
97.9%
7th Grade
Tragic
95.1%
Exceptional
97.2%
8th Grade
Tragic
94.7%
Exceptional
97.0%
9th Grade
Tragic
93.8%
Exceptional
96.3%
10th Grade
Tragic
92.6%
Exceptional
95.3%
11th Grade
Tragic
91.5%
Exceptional
94.2%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
92.9%
High School Diploma
Tragic
87.8%
Exceptional
91.3%
GED/Equivalency
Tragic
84.7%
Exceptional
87.8%
College, Under 1 year
Poor
64.1%
Exceptional
68.5%
College, 1 year or more
Fair
58.6%
Exceptional
62.3%
Associate's Degree
Average
46.4%
Exceptional
48.9%
Bachelor's Degree
Good
38.3%
Exceptional
40.4%
Master's Degree
Good
15.3%
Exceptional
16.4%
Professional Degree
Good
4.5%
Exceptional
5.0%
Doctorate Degree
Fair
1.8%
Exceptional
2.2%

Peruvian vs British Disability

When considering disability, the most significant differences between Peruvian and British communities in the United States are seen in hearing disability (2.7% compared to 3.5%, a difference of 27.2%), disability age 18 to 34 (6.0% compared to 7.3%, a difference of 22.7%), and disability age under 5 (1.3% compared to 1.5%, a difference of 18.6%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 0.55%), disability age over 75 (46.8% compared to 46.5%, a difference of 0.72%), and cognitive disability (16.7% compared to 17.0%, a difference of 2.1%).
Peruvian vs British Disability
Disability MetricPeruvianBritish
Disability
Exceptional
10.9%
Tragic
12.2%
Males
Exceptional
10.4%
Tragic
12.1%
Females
Exceptional
11.3%
Poor
12.4%
Age | Under 5 years
Fair
1.3%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.9%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.3%
Age | 35 to 64 years
Exceptional
9.9%
Poor
11.6%
Age | 65 to 74 years
Exceptional
22.2%
Good
23.0%
Age | Over 75 years
Excellent
46.8%
Exceptional
46.5%
Vision
Exceptional
2.1%
Fair
2.2%
Hearing
Exceptional
2.7%
Tragic
3.5%
Cognitive
Exceptional
16.7%
Excellent
17.0%
Ambulatory
Exceptional
5.7%
Fair
6.2%
Self-Care
Exceptional
2.4%
Exceptional
2.4%