Maltese vs Peruvian Community Comparison

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

Social Comparison

Maltese

Peruvians

Excellent
Average
9,141
SOCIAL INDEX
88.9/ 100
SOCIAL RATING
30th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Maltese Communities

The statistical analysis conducted on geographies consisting of 112,685,180 people shows a perfect positive correlation between the proportion of Peruvians within Maltese communities in the United States with a correlation coefficient (R) of 0.961. On average, for every 1% (one percent) increase in Maltese within a typical geography, there is an increase of 0.991% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Maltese corresponds to an increase of 991.3 Peruvians.
Maltese Integration in Peruvian Communities

Maltese vs Peruvian Income

When considering income, the most significant differences between Maltese and Peruvian communities in the United States are seen in median male earnings ($62,953 compared to $55,659, a difference of 13.1%), wage/income gap (28.7% compared to 25.6%, a difference of 12.3%), and per capita income ($49,640 compared to $44,479, a difference of 11.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,735 compared to $56,052, a difference of 4.3%), householder income over 65 years ($66,027 compared to $62,766, a difference of 5.2%), and median household income ($97,015 compared to $90,261, a difference of 7.5%).
Maltese vs Peruvian Income
Income MetricMaltesePeruvian
Per Capita Income
Exceptional
$49,640
Good
$44,479
Median Family Income
Exceptional
$115,862
Excellent
$105,444
Median Household Income
Exceptional
$97,015
Exceptional
$90,261
Median Earnings
Exceptional
$52,526
Excellent
$47,628
Median Male Earnings
Exceptional
$62,953
Good
$55,659
Median Female Earnings
Exceptional
$43,357
Good
$40,234
Householder Age | Under 25 years
Exceptional
$53,735
Exceptional
$56,052
Householder Age | 25 - 44 years
Exceptional
$110,064
Exceptional
$98,886
Householder Age | 45 - 64 years
Exceptional
$114,754
Exceptional
$105,070
Householder Age | Over 65 years
Exceptional
$66,027
Excellent
$62,766
Wage/Income Gap
Tragic
28.7%
Good
25.6%

Maltese vs Peruvian Poverty

When considering poverty, the most significant differences between Maltese and Peruvian communities in the United States are seen in receiving food stamps (8.9% compared to 11.7%, a difference of 32.0%), seniors poverty over the age of 75 (10.3% compared to 13.4%, a difference of 29.9%), and married-couple family poverty (4.1% compared to 5.3%, a difference of 29.8%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.4%, a difference of 0.66%), female poverty among 18-24 year olds (17.6% compared to 17.2%, a difference of 2.0%), and single mother poverty (26.6% compared to 27.5%, a difference of 3.4%).
Maltese vs Peruvian Poverty
Poverty MetricMaltesePeruvian
Poverty
Exceptional
10.2%
Excellent
11.8%
Families
Exceptional
7.1%
Good
8.8%
Males
Exceptional
9.1%
Excellent
10.7%
Females
Exceptional
11.2%
Excellent
12.9%
Females 18 to 24 years
Exceptional
17.6%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
11.4%
Exceptional
12.7%
Children Under 5 years
Exceptional
14.5%
Exceptional
16.0%
Children Under 16 years
Exceptional
13.1%
Excellent
15.3%
Boys Under 16 years
Exceptional
13.2%
Excellent
15.5%
Girls Under 16 years
Exceptional
13.7%
Exceptional
15.4%
Single Males
Exceptional
11.3%
Exceptional
11.8%
Single Females
Exceptional
18.3%
Exceptional
19.4%
Single Fathers
Exceptional
15.3%
Exceptional
15.4%
Single Mothers
Exceptional
26.6%
Exceptional
27.5%
Married Couples
Exceptional
4.1%
Fair
5.3%
Seniors Over 65 years
Exceptional
9.1%
Tragic
11.7%
Seniors Over 75 years
Exceptional
10.3%
Tragic
13.4%
Receiving Food Stamps
Exceptional
8.9%
Average
11.7%

Maltese vs Peruvian Unemployment

When considering unemployment, the most significant differences between Maltese and Peruvian communities in the United States are seen in unemployment among women with children under 18 years (5.2% compared to 5.6%, a difference of 9.3%), unemployment among women with children under 6 years (6.9% compared to 7.5%, a difference of 8.9%), and unemployment among ages 16 to 19 years (16.4% compared to 17.7%, a difference of 7.9%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.5% compared to 6.6%, a difference of 0.36%), unemployment among women with children ages 6 to 17 years (9.1% compared to 9.2%, a difference of 0.66%), and unemployment among youth under 25 years (11.7% compared to 11.8%, a difference of 1.2%).
Maltese vs Peruvian Unemployment
Unemployment MetricMaltesePeruvian
Unemployment
Exceptional
5.0%
Fair
5.3%
Males
Exceptional
5.1%
Average
5.3%
Females
Excellent
5.1%
Tragic
5.4%
Youth < 25
Fair
11.7%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.4%
Fair
17.7%
Age | 20 to 24 years
Tragic
11.2%
Poor
10.5%
Age | 25 to 29 years
Good
6.5%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.2%
Average
5.5%
Age | 35 to 44 years
Excellent
4.5%
Average
4.7%
Age | 45 to 54 years
Average
4.5%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.5%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.7%
Tragic
5.0%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.5%
Seniors > 65
Poor
5.2%
Tragic
5.3%
Seniors > 75
Fair
8.8%
Tragic
9.0%
Women w/ Children < 6
Exceptional
6.9%
Good
7.5%
Women w/ Children 6 to 17
Poor
9.1%
Tragic
9.2%
Women w/ Children < 18
Exceptional
5.2%
Poor
5.6%

Maltese vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Maltese and Peruvian communities in the United States are seen in in labor force | age 16-19 (38.5% compared to 34.6%, a difference of 11.3%), in labor force | age 20-24 (76.3% compared to 74.5%, a difference of 2.4%), and in labor force | age > 16 (64.8% compared to 66.3%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.9%, a difference of 0.29%), in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.34%), and in labor force | age 20-64 (80.0% compared to 80.3%, a difference of 0.45%).
Maltese vs Peruvian Labor Participation
Labor Participation MetricMaltesePeruvian
In Labor Force | Age > 16
Poor
64.8%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
80.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
38.5%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
76.3%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
86.0%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.4%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.6%

Maltese vs Peruvian Family Structure

When considering family structure, the most significant differences between Maltese and Peruvian communities in the United States are seen in single mother households (5.2% compared to 6.5%, a difference of 26.0%), single father households (2.0% compared to 2.4%, a difference of 16.2%), and births to unmarried women (27.8% compared to 31.5%, a difference of 13.2%). Conversely, both communities are more comparable in terms of divorced or separated (11.6% compared to 11.9%, a difference of 2.3%), married-couple households (49.2% compared to 47.6%, a difference of 3.2%), and family households (64.7% compared to 67.1%, a difference of 3.7%).
Maltese vs Peruvian Family Structure
Family Structure MetricMaltesePeruvian
Family Households
Excellent
64.7%
Exceptional
67.1%
Family Households with Children
Tragic
26.7%
Exceptional
29.0%
Married-couple Households
Exceptional
49.2%
Exceptional
47.6%
Average Family Size
Tragic
3.16
Exceptional
3.30
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.2%
Fair
6.5%
Currently Married
Exceptional
49.0%
Average
46.6%
Divorced or Separated
Exceptional
11.6%
Excellent
11.9%
Births to Unmarried Women
Exceptional
27.8%
Average
31.5%

Maltese vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Maltese and Peruvian communities in the United States are seen in no vehicles in household (9.1% compared to 11.2%, a difference of 23.5%), 2 or more vehicles in household (58.0% compared to 55.0%, a difference of 5.5%), and 3 or more vehicles in household (20.5% compared to 19.6%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 88.8%, a difference of 2.4%), 4 or more vehicles in household (6.7% compared to 6.5%, a difference of 3.0%), and 3 or more vehicles in household (20.5% compared to 19.6%, a difference of 4.4%).
Maltese vs Peruvian Vehicle Availability
Vehicle Availability MetricMaltesePeruvian
No Vehicles Available
Exceptional
9.1%
Tragic
11.2%
1+ Vehicles Available
Exceptional
91.0%
Tragic
88.8%
2+ Vehicles Available
Exceptional
58.0%
Fair
55.0%
3+ Vehicles Available
Exceptional
20.5%
Average
19.6%
4+ Vehicles Available
Excellent
6.7%
Good
6.5%

Maltese vs Peruvian Education Level

When considering education level, the most significant differences between Maltese and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 47.2%), doctorate degree (2.1% compared to 1.8%, a difference of 14.6%), and master's degree (17.3% compared to 15.3%, a difference of 12.9%). Conversely, both communities are more comparable in terms of nursery school (98.4% compared to 97.6%, a difference of 0.79%), kindergarten (98.4% compared to 97.6%, a difference of 0.81%), and 1st grade (98.4% compared to 97.6%, a difference of 0.81%).
Maltese vs Peruvian Education Level
Education Level MetricMaltesePeruvian
No Schooling Completed
Exceptional
1.6%
Tragic
2.4%
Nursery School
Exceptional
98.4%
Tragic
97.6%
Kindergarten
Exceptional
98.4%
Tragic
97.6%
1st Grade
Exceptional
98.4%
Tragic
97.6%
2nd Grade
Exceptional
98.3%
Tragic
97.5%
3rd Grade
Exceptional
98.3%
Tragic
97.4%
4th Grade
Exceptional
98.1%
Tragic
97.1%
5th Grade
Exceptional
98.0%
Tragic
96.8%
6th Grade
Exceptional
97.8%
Tragic
96.4%
7th Grade
Exceptional
97.1%
Tragic
95.1%
8th Grade
Exceptional
96.9%
Tragic
94.7%
9th Grade
Exceptional
96.3%
Tragic
93.8%
10th Grade
Exceptional
95.5%
Tragic
92.6%
11th Grade
Exceptional
94.5%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
93.3%
Tragic
90.2%
High School Diploma
Exceptional
91.6%
Tragic
87.8%
GED/Equivalency
Exceptional
88.6%
Tragic
84.7%
College, Under 1 year
Exceptional
69.5%
Poor
64.1%
College, 1 year or more
Exceptional
63.4%
Fair
58.6%
Associate's Degree
Exceptional
50.4%
Average
46.4%
Bachelor's Degree
Exceptional
41.9%
Good
38.3%
Master's Degree
Exceptional
17.3%
Good
15.3%
Professional Degree
Exceptional
5.0%
Good
4.5%
Doctorate Degree
Exceptional
2.1%
Fair
1.8%

Maltese vs Peruvian Disability

When considering disability, the most significant differences between Maltese and Peruvian communities in the United States are seen in hearing disability (3.2% compared to 2.7%, a difference of 17.8%), disability age 18 to 34 (6.7% compared to 6.0%, a difference of 11.7%), and male disability (11.2% compared to 10.4%, a difference of 8.2%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.4% compared to 5.3%, a difference of 1.3%), disability age over 75 (45.8% compared to 46.8%, a difference of 2.2%), and cognitive disability (16.2% compared to 16.7%, a difference of 2.7%).
Maltese vs Peruvian Disability
Disability MetricMaltesePeruvian
Disability
Average
11.7%
Exceptional
10.9%
Males
Average
11.2%
Exceptional
10.4%
Females
Average
12.2%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.3%
Fair
1.3%
Age | 5 to 17 years
Exceptional
5.4%
Exceptional
5.3%
Age | 18 to 34 years
Fair
6.7%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
10.6%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
21.6%
Exceptional
22.2%
Age | Over 75 years
Exceptional
45.8%
Excellent
46.8%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Tragic
3.2%
Exceptional
2.7%
Cognitive
Exceptional
16.2%
Exceptional
16.7%
Ambulatory
Excellent
6.0%
Exceptional
5.7%
Self-Care
Fair
2.5%
Exceptional
2.4%