Zimbabwean vs Peruvian Community Comparison

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Zimbabwean
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican 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'ik
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

Zimbabweans

Peruvians

Exceptional
Average
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 65,314,846 people shows no correlation between the proportion of Peruvians within Zimbabwean communities in the United States with a correlation coefficient (R) of -0.047. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is a decrease of 0.057% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to a decrease of 56.7 Peruvians.
Zimbabwean Integration in Peruvian Communities

Zimbabwean vs Peruvian Income

When considering income, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in householder income under 25 years ($51,259 compared to $56,052, a difference of 9.3%), householder income over 65 years ($65,854 compared to $62,766, a difference of 4.9%), and median family income ($110,011 compared to $105,444, a difference of 4.3%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($98,586 compared to $98,886, a difference of 0.30%), median household income ($90,618 compared to $90,261, a difference of 0.40%), and median male earnings ($56,302 compared to $55,659, a difference of 1.1%).
Zimbabwean vs Peruvian Income
Income MetricZimbabweanPeruvian
Per Capita Income
Exceptional
$45,804
Good
$44,479
Median Family Income
Exceptional
$110,011
Excellent
$105,444
Median Household Income
Exceptional
$90,618
Exceptional
$90,261
Median Earnings
Exceptional
$48,229
Excellent
$47,628
Median Male Earnings
Excellent
$56,302
Good
$55,659
Median Female Earnings
Exceptional
$40,798
Good
$40,234
Householder Age | Under 25 years
Tragic
$51,259
Exceptional
$56,052
Householder Age | 25 - 44 years
Exceptional
$98,586
Exceptional
$98,886
Householder Age | 45 - 64 years
Exceptional
$106,849
Exceptional
$105,070
Householder Age | Over 65 years
Exceptional
$65,854
Excellent
$62,766
Wage/Income Gap
Fair
26.3%
Good
25.6%

Zimbabwean vs Peruvian Poverty

When considering poverty, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in married-couple family poverty (4.1% compared to 5.3%, a difference of 29.8%), receiving food stamps (9.5% compared to 11.7%, a difference of 23.9%), and seniors poverty over the age of 65 (9.6% compared to 11.7%, a difference of 21.7%). Conversely, both communities are more comparable in terms of single female poverty (19.5% compared to 19.4%, a difference of 0.80%), single father poverty (15.6% compared to 15.4%, a difference of 1.0%), and single mother poverty (27.9% compared to 27.5%, a difference of 1.6%).
Zimbabwean vs Peruvian Poverty
Poverty MetricZimbabweanPeruvian
Poverty
Exceptional
11.3%
Excellent
11.8%
Families
Exceptional
7.8%
Good
8.8%
Males
Exceptional
10.2%
Excellent
10.7%
Females
Exceptional
12.3%
Excellent
12.9%
Females 18 to 24 years
Fair
20.4%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
11.7%
Exceptional
12.7%
Children Under 5 years
Exceptional
15.2%
Exceptional
16.0%
Children Under 16 years
Exceptional
14.2%
Excellent
15.3%
Boys Under 16 years
Exceptional
14.3%
Excellent
15.5%
Girls Under 16 years
Exceptional
14.4%
Exceptional
15.4%
Single Males
Poor
13.1%
Exceptional
11.8%
Single Females
Exceptional
19.5%
Exceptional
19.4%
Single Fathers
Exceptional
15.6%
Exceptional
15.4%
Single Mothers
Exceptional
27.9%
Exceptional
27.5%
Married Couples
Exceptional
4.1%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.6%
Tragic
11.7%
Seniors Over 75 years
Exceptional
11.2%
Tragic
13.4%
Receiving Food Stamps
Exceptional
9.5%
Average
11.7%

Zimbabwean vs Peruvian Unemployment

When considering unemployment, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in unemployment among youth under 25 years (10.2% compared to 11.8%, a difference of 16.0%), unemployment among ages 55 to 59 years (4.2% compared to 4.8%, a difference of 14.5%), and unemployment among ages 16 to 19 years (15.4% compared to 17.7%, a difference of 14.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.3% compared to 7.5%, a difference of 2.4%), unemployment among ages 25 to 29 years (6.4% compared to 6.6%, a difference of 3.0%), and unemployment among seniors over 75 years (8.7% compared to 9.0%, a difference of 3.6%).
Zimbabwean vs Peruvian Unemployment
Unemployment MetricZimbabweanPeruvian
Unemployment
Exceptional
4.8%
Fair
5.3%
Males
Exceptional
4.8%
Average
5.3%
Females
Exceptional
4.8%
Tragic
5.4%
Youth < 25
Exceptional
10.2%
Poor
11.8%
Age | 16 to 19 years
Exceptional
15.4%
Fair
17.7%
Age | 20 to 24 years
Exceptional
9.2%
Poor
10.5%
Age | 25 to 29 years
Exceptional
6.4%
Good
6.6%
Age | 30 to 34 years
Exceptional
4.8%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.3%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.2%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.5%
Tragic
5.0%
Age | 65 to 74 years
Tragic
5.9%
Tragic
5.5%
Seniors > 65
Tragic
5.6%
Tragic
5.3%
Seniors > 75
Average
8.7%
Tragic
9.0%
Women w/ Children < 6
Exceptional
7.3%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.1%
Poor
5.6%

Zimbabwean vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 34.6%, a difference of 11.9%), in labor force | age > 16 (67.3% compared to 66.3%, a difference of 1.5%), and in labor force | age 20-24 (75.6% compared to 74.5%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.7%, a difference of 0.28%), in labor force | age 45-54 (84.0% compared to 83.6%, a difference of 0.56%), and in labor force | age 20-64 (81.0% compared to 80.3%, a difference of 0.79%).
Zimbabwean vs Peruvian Labor Participation
Labor Participation MetricZimbabweanPeruvian
In Labor Force | Age > 16
Exceptional
67.3%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
81.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.7%
Tragic
34.6%
In Labor Force | Age 20-24
Excellent
75.6%
Poor
74.5%
In Labor Force | Age 25-29
Fair
84.5%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.6%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
86.1%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
84.0%
Exceptional
83.6%

Zimbabwean vs Peruvian Family Structure

When considering family structure, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in births to unmarried women (28.7% compared to 31.5%, a difference of 9.8%), single mother households (6.1% compared to 6.5%, a difference of 7.7%), and single father households (2.2% compared to 2.4%, a difference of 7.7%). Conversely, both communities are more comparable in terms of married-couple households (47.4% compared to 47.6%, a difference of 0.57%), currently married (47.0% compared to 46.6%, a difference of 0.78%), and divorced or separated (11.6% compared to 11.9%, a difference of 2.9%).
Zimbabwean vs Peruvian Family Structure
Family Structure MetricZimbabweanPeruvian
Family Households
Fair
64.1%
Exceptional
67.1%
Family Households with Children
Exceptional
27.9%
Exceptional
29.0%
Married-couple Households
Excellent
47.4%
Exceptional
47.6%
Average Family Size
Poor
3.20
Exceptional
3.30
Single Father Households
Exceptional
2.2%
Fair
2.4%
Single Mother Households
Excellent
6.1%
Fair
6.5%
Currently Married
Good
47.0%
Average
46.6%
Divorced or Separated
Exceptional
11.6%
Excellent
11.9%
Births to Unmarried Women
Exceptional
28.7%
Average
31.5%

Zimbabwean vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in no vehicles in household (9.0% compared to 11.2%, a difference of 24.4%), 2 or more vehicles in household (57.2% compared to 55.0%, a difference of 4.1%), and 3 or more vehicles in household (20.3% compared to 19.6%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 0.27%), 1 or more vehicles in household (91.0% compared to 88.8%, a difference of 2.4%), and 3 or more vehicles in household (20.3% compared to 19.6%, a difference of 3.2%).
Zimbabwean vs Peruvian Vehicle Availability
Vehicle Availability MetricZimbabweanPeruvian
No Vehicles Available
Exceptional
9.0%
Tragic
11.2%
1+ Vehicles Available
Exceptional
91.0%
Tragic
88.8%
2+ Vehicles Available
Exceptional
57.2%
Fair
55.0%
3+ Vehicles Available
Excellent
20.3%
Average
19.6%
4+ Vehicles Available
Good
6.4%
Good
6.5%

Zimbabwean vs Peruvian Education Level

When considering education level, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in no schooling completed (1.7% compared to 2.4%, a difference of 38.2%), doctorate degree (2.3% compared to 1.8%, a difference of 26.6%), and master's degree (17.7% compared to 15.3%, a difference of 15.9%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.6%, a difference of 0.68%), kindergarten (98.3% compared to 97.6%, a difference of 0.69%), and 1st grade (98.3% compared to 97.6%, a difference of 0.71%).
Zimbabwean vs Peruvian Education Level
Education Level MetricZimbabweanPeruvian
No Schooling Completed
Exceptional
1.7%
Tragic
2.4%
Nursery School
Exceptional
98.3%
Tragic
97.6%
Kindergarten
Exceptional
98.3%
Tragic
97.6%
1st Grade
Exceptional
98.3%
Tragic
97.6%
2nd Grade
Exceptional
98.2%
Tragic
97.5%
3rd Grade
Exceptional
98.1%
Tragic
97.4%
4th Grade
Exceptional
97.9%
Tragic
97.1%
5th Grade
Exceptional
97.8%
Tragic
96.8%
6th Grade
Exceptional
97.6%
Tragic
96.4%
7th Grade
Exceptional
96.8%
Tragic
95.1%
8th Grade
Exceptional
96.5%
Tragic
94.7%
9th Grade
Exceptional
95.9%
Tragic
93.8%
10th Grade
Exceptional
94.9%
Tragic
92.6%
11th Grade
Exceptional
93.9%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
92.7%
Tragic
90.2%
High School Diploma
Exceptional
91.1%
Tragic
87.8%
GED/Equivalency
Exceptional
88.0%
Tragic
84.7%
College, Under 1 year
Exceptional
69.9%
Poor
64.1%
College, 1 year or more
Exceptional
64.2%
Fair
58.6%
Associate's Degree
Exceptional
51.3%
Average
46.4%
Bachelor's Degree
Exceptional
43.3%
Good
38.3%
Master's Degree
Exceptional
17.7%
Good
15.3%
Professional Degree
Exceptional
5.2%
Good
4.5%
Doctorate Degree
Exceptional
2.3%
Fair
1.8%

Zimbabwean vs Peruvian Disability

When considering disability, the most significant differences between Zimbabwean and Peruvian communities in the United States are seen in self-care disability (2.2% compared to 2.4%, a difference of 11.5%), disability age 18 to 34 (6.5% compared to 6.0%, a difference of 8.4%), and disability age under 5 (1.2% compared to 1.3%, a difference of 6.6%). Conversely, both communities are more comparable in terms of female disability (11.3% compared to 11.3%, a difference of 0.54%), disability (10.9% compared to 10.9%, a difference of 0.73%), and male disability (10.6% compared to 10.4%, a difference of 2.0%).
Zimbabwean vs Peruvian Disability
Disability MetricZimbabweanPeruvian
Disability
Exceptional
10.9%
Exceptional
10.9%
Males
Exceptional
10.6%
Exceptional
10.4%
Females
Exceptional
11.3%
Exceptional
11.3%
Age | Under 5 years
Exceptional
1.2%
Fair
1.3%
Age | 5 to 17 years
Good
5.5%
Exceptional
5.3%
Age | 18 to 34 years
Good
6.5%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.4%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
21.5%
Exceptional
22.2%
Age | Over 75 years
Tragic
48.1%
Excellent
46.8%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Excellent
2.8%
Exceptional
2.7%
Cognitive
Tragic
17.6%
Exceptional
16.7%
Ambulatory
Exceptional
5.4%
Exceptional
5.7%
Self-Care
Exceptional
2.2%
Exceptional
2.4%