Peruvian vs Subsaharan African 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 EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-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
Subsaharan African
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

Sub-Saharan Africans

Average
Tragic
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
977
SOCIAL INDEX
7.3/ 100
SOCIAL RATING
330th/ 347
SOCIAL RANK

Subsaharan African Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 352,227,289 people shows a substantial positive correlation between the proportion of Sub-Saharan Africans within Peruvian communities in the United States with a correlation coefficient (R) of 0.589. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.067% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 66.7 Sub-Saharan Africans.
Peruvian Integration in Subsaharan African Communities

Peruvian vs Subsaharan African Income

When considering income, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($98,886 compared to $84,235, a difference of 17.4%), median household income ($90,261 compared to $77,631, a difference of 16.3%), and householder income ages 45 - 64 years ($105,070 compared to $90,691, a difference of 15.9%). Conversely, both communities are more comparable in terms of median female earnings ($40,234 compared to $38,391, a difference of 4.8%), median earnings ($47,628 compared to $44,118, a difference of 8.0%), and median male earnings ($55,659 compared to $50,408, a difference of 10.4%).
Peruvian vs Subsaharan African Income
Income MetricPeruvianSubsaharan African
Per Capita Income
Good
$44,479
Tragic
$40,152
Median Family Income
Excellent
$105,444
Tragic
$93,748
Median Household Income
Exceptional
$90,261
Tragic
$77,631
Median Earnings
Excellent
$47,628
Tragic
$44,118
Median Male Earnings
Good
$55,659
Tragic
$50,408
Median Female Earnings
Good
$40,234
Tragic
$38,391
Householder Age | Under 25 years
Exceptional
$56,052
Tragic
$48,691
Householder Age | 25 - 44 years
Exceptional
$98,886
Tragic
$84,235
Householder Age | 45 - 64 years
Exceptional
$105,070
Tragic
$90,691
Householder Age | Over 65 years
Excellent
$62,766
Tragic
$56,615
Wage/Income Gap
Good
25.6%
Exceptional
22.8%

Peruvian vs Subsaharan African Poverty

When considering poverty, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in child poverty among girls under 16 (15.4% compared to 20.1%, a difference of 30.9%), child poverty under the age of 16 (15.3% compared to 19.9%, a difference of 30.3%), and child poverty under the age of 5 (16.0% compared to 20.8%, a difference of 29.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.4% compared to 13.2%, a difference of 1.1%), seniors poverty over the age of 65 (11.7% compared to 12.1%, a difference of 3.3%), and married-couple family poverty (5.3% compared to 5.7%, a difference of 7.0%).
Peruvian vs Subsaharan African Poverty
Poverty MetricPeruvianSubsaharan African
Poverty
Excellent
11.8%
Tragic
14.5%
Families
Good
8.8%
Tragic
10.9%
Males
Excellent
10.7%
Tragic
13.3%
Females
Excellent
12.9%
Tragic
15.8%
Females 18 to 24 years
Exceptional
17.2%
Tragic
22.0%
Females 25 to 34 years
Exceptional
12.7%
Tragic
15.6%
Children Under 5 years
Exceptional
16.0%
Tragic
20.8%
Children Under 16 years
Excellent
15.3%
Tragic
19.9%
Boys Under 16 years
Excellent
15.5%
Tragic
20.0%
Girls Under 16 years
Exceptional
15.4%
Tragic
20.1%
Single Males
Exceptional
11.8%
Tragic
13.7%
Single Females
Exceptional
19.4%
Tragic
23.2%
Single Fathers
Exceptional
15.4%
Tragic
16.9%
Single Mothers
Exceptional
27.5%
Tragic
31.4%
Married Couples
Fair
5.3%
Tragic
5.7%
Seniors Over 65 years
Tragic
11.7%
Tragic
12.1%
Seniors Over 75 years
Tragic
13.4%
Tragic
13.2%
Receiving Food Stamps
Average
11.7%
Tragic
14.1%

Peruvian vs Subsaharan African Unemployment

When considering unemployment, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in male unemployment (5.3% compared to 6.0%, a difference of 12.7%), unemployment among ages 35 to 44 years (4.7% compared to 5.3%, a difference of 12.7%), and unemployment among women with children under 6 years (7.5% compared to 8.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.0% compared to 9.2%, a difference of 1.5%), unemployment among ages 65 to 74 years (5.5% compared to 5.4%, a difference of 1.7%), and unemployment among ages 55 to 59 years (4.8% compared to 5.0%, a difference of 2.6%).
Peruvian vs Subsaharan African Unemployment
Unemployment MetricPeruvianSubsaharan African
Unemployment
Fair
5.3%
Tragic
5.8%
Males
Average
5.3%
Tragic
6.0%
Females
Tragic
5.4%
Tragic
5.7%
Youth < 25
Poor
11.8%
Tragic
12.6%
Age | 16 to 19 years
Fair
17.7%
Tragic
18.7%
Age | 20 to 24 years
Poor
10.5%
Tragic
11.1%
Age | 25 to 29 years
Good
6.6%
Tragic
7.2%
Age | 30 to 34 years
Average
5.5%
Tragic
6.0%
Age | 35 to 44 years
Average
4.7%
Tragic
5.3%
Age | 45 to 54 years
Fair
4.6%
Tragic
4.9%
Age | 55 to 59 years
Fair
4.8%
Tragic
5.0%
Age | 60 to 64 years
Tragic
5.0%
Fair
4.9%
Age | 65 to 74 years
Tragic
5.5%
Poor
5.4%
Seniors > 65
Tragic
5.3%
Poor
5.2%
Seniors > 75
Tragic
9.0%
Tragic
9.2%
Women w/ Children < 6
Good
7.5%
Tragic
8.4%
Women w/ Children 6 to 17
Tragic
9.2%
Tragic
10.0%
Women w/ Children < 18
Poor
5.6%
Tragic
6.2%

Peruvian vs Subsaharan African Labor Participation

When considering labor participation, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 38.4%, a difference of 11.1%), in labor force | age 45-54 (83.6% compared to 82.0%, a difference of 1.9%), and in labor force | age 20-24 (74.5% compared to 75.7%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.3% compared to 66.2%, a difference of 0.11%), in labor force | age 30-34 (84.8% compared to 84.5%, a difference of 0.37%), and in labor force | age 25-29 (84.7% compared to 84.3%, a difference of 0.49%).
Peruvian vs Subsaharan African Labor Participation
Labor Participation MetricPeruvianSubsaharan African
In Labor Force | Age > 16
Exceptional
66.3%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
38.4%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
75.7%
In Labor Force | Age 25-29
Good
84.7%
Poor
84.3%
In Labor Force | Age 30-34
Good
84.8%
Poor
84.5%
In Labor Force | Age 35-44
Exceptional
84.9%
Tragic
84.1%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
82.0%

Peruvian vs Subsaharan African Family Structure

When considering family structure, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in single mother households (6.5% compared to 7.8%, a difference of 19.5%), births to unmarried women (31.5% compared to 36.7%, a difference of 16.3%), and married-couple households (47.6% compared to 41.6%, a difference of 14.5%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.25, a difference of 1.5%), single father households (2.4% compared to 2.4%, a difference of 2.6%), and family households with children (29.0% compared to 27.6%, a difference of 5.2%).
Peruvian vs Subsaharan African Family Structure
Family Structure MetricPeruvianSubsaharan African
Family Households
Exceptional
67.1%
Tragic
62.1%
Family Households with Children
Exceptional
29.0%
Good
27.6%
Married-couple Households
Exceptional
47.6%
Tragic
41.6%
Average Family Size
Exceptional
3.30
Excellent
3.25
Single Father Households
Fair
2.4%
Tragic
2.4%
Single Mother Households
Fair
6.5%
Tragic
7.8%
Currently Married
Average
46.6%
Tragic
42.6%
Divorced or Separated
Excellent
11.9%
Tragic
12.7%
Births to Unmarried Women
Average
31.5%
Tragic
36.7%

Peruvian vs Subsaharan African Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in 4 or more vehicles in household (6.5% compared to 5.7%, a difference of 13.1%), 3 or more vehicles in household (19.6% compared to 17.9%, a difference of 9.9%), and no vehicles in household (11.2% compared to 12.2%, a difference of 8.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 87.9%, a difference of 1.1%), 2 or more vehicles in household (55.0% compared to 51.9%, a difference of 5.9%), and no vehicles in household (11.2% compared to 12.2%, a difference of 8.5%).
Peruvian vs Subsaharan African Vehicle Availability
Vehicle Availability MetricPeruvianSubsaharan African
No Vehicles Available
Tragic
11.2%
Tragic
12.2%
1+ Vehicles Available
Tragic
88.8%
Tragic
87.9%
2+ Vehicles Available
Fair
55.0%
Tragic
51.9%
3+ Vehicles Available
Average
19.6%
Tragic
17.9%
4+ Vehicles Available
Good
6.5%
Tragic
5.7%

Peruvian vs Subsaharan African Education Level

When considering education level, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in professional degree (4.5% compared to 4.1%, a difference of 10.0%), master's degree (15.3% compared to 14.2%, a difference of 7.4%), and bachelor's degree (38.3% compared to 35.8%, a difference of 7.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.7%, a difference of 0.090%), kindergarten (97.6% compared to 97.7%, a difference of 0.10%), and 1st grade (97.6% compared to 97.7%, a difference of 0.10%).
Peruvian vs Subsaharan African Education Level
Education Level MetricPeruvianSubsaharan African
No Schooling Completed
Tragic
2.4%
Tragic
2.3%
Nursery School
Tragic
97.6%
Tragic
97.7%
Kindergarten
Tragic
97.6%
Tragic
97.7%
1st Grade
Tragic
97.6%
Tragic
97.7%
2nd Grade
Tragic
97.5%
Tragic
97.6%
3rd Grade
Tragic
97.4%
Tragic
97.5%
4th Grade
Tragic
97.1%
Tragic
97.2%
5th Grade
Tragic
96.8%
Tragic
97.0%
6th Grade
Tragic
96.4%
Tragic
96.7%
7th Grade
Tragic
95.1%
Tragic
95.7%
8th Grade
Tragic
94.7%
Tragic
95.3%
9th Grade
Tragic
93.8%
Tragic
94.4%
10th Grade
Tragic
92.6%
Tragic
93.1%
11th Grade
Tragic
91.5%
Tragic
91.7%
12th Grade, No Diploma
Tragic
90.2%
Tragic
90.1%
High School Diploma
Tragic
87.8%
Tragic
87.9%
GED/Equivalency
Tragic
84.7%
Tragic
84.2%
College, Under 1 year
Poor
64.1%
Tragic
63.2%
College, 1 year or more
Fair
58.6%
Tragic
57.3%
Associate's Degree
Average
46.4%
Tragic
43.9%
Bachelor's Degree
Good
38.3%
Tragic
35.8%
Master's Degree
Good
15.3%
Poor
14.2%
Professional Degree
Good
4.5%
Poor
4.1%
Doctorate Degree
Fair
1.8%
Fair
1.8%

Peruvian vs Subsaharan African Disability

When considering disability, the most significant differences between Peruvian and Subsaharan African communities in the United States are seen in disability age 35 to 64 (9.9% compared to 12.6%, a difference of 28.3%), disability age 18 to 34 (6.0% compared to 7.1%, a difference of 18.2%), and disability age 5 to 17 (5.3% compared to 6.2%, a difference of 16.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 48.2%, a difference of 2.9%), disability age under 5 (1.3% compared to 1.3%, a difference of 4.2%), and hearing disability (2.7% compared to 2.9%, a difference of 5.6%).
Peruvian vs Subsaharan African Disability
Disability MetricPeruvianSubsaharan African
Disability
Exceptional
10.9%
Tragic
12.3%
Males
Exceptional
10.4%
Tragic
11.8%
Females
Exceptional
11.3%
Tragic
12.7%
Age | Under 5 years
Fair
1.3%
Tragic
1.3%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
6.2%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
9.9%
Tragic
12.6%
Age | 65 to 74 years
Exceptional
22.2%
Tragic
25.1%
Age | Over 75 years
Excellent
46.8%
Tragic
48.2%
Vision
Exceptional
2.1%
Tragic
2.3%
Hearing
Exceptional
2.7%
Excellent
2.9%
Cognitive
Exceptional
16.7%
Tragic
18.5%
Ambulatory
Exceptional
5.7%
Tragic
6.4%
Self-Care
Exceptional
2.4%
Tragic
2.6%