Peruvian vs Latvian 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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Latvian
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

Latvians

Average
Exceptional
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
9,576
SOCIAL INDEX
93.2/ 100
SOCIAL RATING
12th/ 347
SOCIAL RANK

Latvian Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 187,646,215 people shows a moderate positive correlation between the proportion of Latvians within Peruvian communities in the United States with a correlation coefficient (R) of 0.450. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.008% in Latvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 8.3 Latvians.
Peruvian Integration in Latvian Communities

Peruvian vs Latvian Income

When considering income, the most significant differences between Peruvian and Latvian communities in the United States are seen in per capita income ($44,479 compared to $52,649, a difference of 18.4%), median family income ($105,444 compared to $120,301, a difference of 14.1%), and median male earnings ($55,659 compared to $63,498, a difference of 14.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,052 compared to $52,783, a difference of 6.2%), householder income over 65 years ($62,766 compared to $67,326, a difference of 7.3%), and median household income ($90,261 compared to $97,311, a difference of 7.8%).
Peruvian vs Latvian Income
Income MetricPeruvianLatvian
Per Capita Income
Good
$44,479
Exceptional
$52,649
Median Family Income
Excellent
$105,444
Exceptional
$120,301
Median Household Income
Exceptional
$90,261
Exceptional
$97,311
Median Earnings
Excellent
$47,628
Exceptional
$53,001
Median Male Earnings
Good
$55,659
Exceptional
$63,498
Median Female Earnings
Good
$40,234
Exceptional
$43,941
Householder Age | Under 25 years
Exceptional
$56,052
Excellent
$52,783
Householder Age | 25 - 44 years
Exceptional
$98,886
Exceptional
$108,926
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$115,957
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$67,326
Wage/Income Gap
Good
25.6%
Tragic
27.9%

Peruvian vs Latvian Poverty

When considering poverty, the most significant differences between Peruvian and Latvian communities in the United States are seen in married-couple family poverty (5.3% compared to 3.9%, a difference of 35.8%), receiving food stamps (11.7% compared to 9.1%, a difference of 28.8%), and family poverty (8.8% compared to 7.1%, a difference of 24.1%). Conversely, both communities are more comparable in terms of single female poverty (19.4% compared to 19.0%, a difference of 2.0%), single mother poverty (27.5% compared to 26.9%, a difference of 2.3%), and single father poverty (15.4% compared to 16.5%, a difference of 6.7%).
Peruvian vs Latvian Poverty
Poverty MetricPeruvianLatvian
Poverty
Excellent
11.8%
Exceptional
10.5%
Families
Good
8.8%
Exceptional
7.1%
Males
Excellent
10.7%
Exceptional
9.6%
Females
Excellent
12.9%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
17.2%
Exceptional
19.5%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
11.8%
Children Under 5 years
Exceptional
16.0%
Exceptional
14.5%
Children Under 16 years
Excellent
15.3%
Exceptional
13.2%
Boys Under 16 years
Excellent
15.5%
Exceptional
13.4%
Girls Under 16 years
Exceptional
15.4%
Exceptional
13.5%
Single Males
Exceptional
11.8%
Good
12.7%
Single Females
Exceptional
19.4%
Exceptional
19.0%
Single Fathers
Exceptional
15.4%
Fair
16.5%
Single Mothers
Exceptional
27.5%
Exceptional
26.9%
Married Couples
Fair
5.3%
Exceptional
3.9%
Seniors Over 65 years
Tragic
11.7%
Exceptional
9.5%
Seniors Over 75 years
Tragic
13.4%
Exceptional
10.8%
Receiving Food Stamps
Average
11.7%
Exceptional
9.1%

Peruvian vs Latvian Unemployment

When considering unemployment, the most significant differences between Peruvian and Latvian communities in the United States are seen in female unemployment (5.4% compared to 4.7%, a difference of 16.1%), unemployment among women with children under 18 years (5.6% compared to 4.9%, a difference of 15.7%), and unemployment (5.3% compared to 4.7%, a difference of 13.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.6%, a difference of 4.6%), unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 4.9%), and unemployment among ages 20 to 24 years (10.5% compared to 9.9%, a difference of 5.2%).
Peruvian vs Latvian Unemployment
Unemployment MetricPeruvianLatvian
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
11.0%
Age | 16 to 19 years
Fair
17.7%
Exceptional
16.7%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.9%
Age | 25 to 29 years
Good
6.6%
Exceptional
6.2%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.0%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.2%
Age | 45 to 54 years
Fair
4.6%
Exceptional
4.2%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.6%
Age | 60 to 64 years
Tragic
5.0%
Good
4.8%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.1%
Seniors > 65
Tragic
5.3%
Exceptional
4.9%
Seniors > 75
Tragic
9.0%
Excellent
8.6%
Women w/ Children < 6
Good
7.5%
Exceptional
6.8%
Women w/ Children 6 to 17
Tragic
9.2%
Exceptional
8.6%
Women w/ Children < 18
Poor
5.6%
Exceptional
4.9%

Peruvian vs Latvian Labor Participation

When considering labor participation, the most significant differences between Peruvian and Latvian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 38.9%, a difference of 12.4%), in labor force | age 20-24 (74.5% compared to 76.1%, a difference of 2.1%), and in labor force | age 25-29 (84.7% compared to 86.1%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.5%, a difference of 0.26%), in labor force | age 45-54 (83.6% compared to 83.8%, a difference of 0.28%), and in labor force | age 35-44 (84.9% compared to 85.4%, a difference of 0.53%).
Peruvian vs Latvian Labor Participation
Labor Participation MetricPeruvianLatvian
In Labor Force | Age > 16
Exceptional
66.3%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.5%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
38.9%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
76.1%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
86.1%
In Labor Force | Age 30-34
Good
84.8%
Exceptional
86.0%
In Labor Force | Age 35-44
Exceptional
84.9%
Exceptional
85.4%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.8%

Peruvian vs Latvian Family Structure

When considering family structure, the most significant differences between Peruvian and Latvian communities in the United States are seen in single mother households (6.5% compared to 5.3%, a difference of 23.6%), single father households (2.4% compared to 2.0%, a difference of 18.7%), and births to unmarried women (31.5% compared to 27.7%, a difference of 13.6%). Conversely, both communities are more comparable in terms of married-couple households (47.6% compared to 47.9%, a difference of 0.53%), divorced or separated (11.9% compared to 11.6%, a difference of 2.6%), and currently married (46.6% compared to 48.5%, a difference of 3.9%).
Peruvian vs Latvian Family Structure
Family Structure MetricPeruvianLatvian
Family Households
Exceptional
67.1%
Tragic
62.8%
Family Households with Children
Exceptional
29.0%
Tragic
26.4%
Married-couple Households
Exceptional
47.6%
Exceptional
47.9%
Average Family Size
Exceptional
3.30
Tragic
3.11
Single Father Households
Fair
2.4%
Exceptional
2.0%
Single Mother Households
Fair
6.5%
Exceptional
5.3%
Currently Married
Average
46.6%
Exceptional
48.5%
Divorced or Separated
Excellent
11.9%
Exceptional
11.6%
Births to Unmarried Women
Average
31.5%
Exceptional
27.7%

Peruvian vs Latvian Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Latvian communities in the United States are seen in no vehicles in household (11.2% compared to 9.8%, a difference of 14.9%), 4 or more vehicles in household (6.5% compared to 6.1%, a difference of 5.5%), and 2 or more vehicles in household (55.0% compared to 56.2%, a difference of 2.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 90.3%, a difference of 1.7%), 3 or more vehicles in household (19.6% compared to 19.3%, a difference of 1.8%), and 2 or more vehicles in household (55.0% compared to 56.2%, a difference of 2.3%).
Peruvian vs Latvian Vehicle Availability
Vehicle Availability MetricPeruvianLatvian
No Vehicles Available
Tragic
11.2%
Excellent
9.8%
1+ Vehicles Available
Tragic
88.8%
Excellent
90.3%
2+ Vehicles Available
Fair
55.0%
Excellent
56.2%
3+ Vehicles Available
Average
19.6%
Fair
19.3%
4+ Vehicles Available
Good
6.5%
Fair
6.1%

Peruvian vs Latvian Education Level

When considering education level, the most significant differences between Peruvian and Latvian communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 54.9%), doctorate degree (1.8% compared to 2.6%, a difference of 43.5%), and professional degree (4.5% compared to 6.2%, a difference of 38.6%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.5%, a difference of 0.90%), kindergarten (97.6% compared to 98.5%, a difference of 0.92%), and 1st grade (97.6% compared to 98.5%, a difference of 0.92%).
Peruvian vs Latvian Education Level
Education Level MetricPeruvianLatvian
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
98.4%
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
96.4%
10th Grade
Tragic
92.6%
Exceptional
95.6%
11th Grade
Tragic
91.5%
Exceptional
94.7%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
93.6%
High School Diploma
Tragic
87.8%
Exceptional
92.0%
GED/Equivalency
Tragic
84.7%
Exceptional
89.2%
College, Under 1 year
Poor
64.1%
Exceptional
71.6%
College, 1 year or more
Fair
58.6%
Exceptional
66.1%
Associate's Degree
Average
46.4%
Exceptional
53.9%
Bachelor's Degree
Good
38.3%
Exceptional
46.1%
Master's Degree
Good
15.3%
Exceptional
19.8%
Professional Degree
Good
4.5%
Exceptional
6.2%
Doctorate Degree
Fair
1.8%
Exceptional
2.6%

Peruvian vs Latvian Disability

When considering disability, the most significant differences between Peruvian and Latvian communities in the United States are seen in hearing disability (2.7% compared to 3.2%, a difference of 17.2%), disability age 18 to 34 (6.0% compared to 6.8%, a difference of 14.5%), and male disability (10.4% compared to 11.1%, a difference of 7.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.20%), ambulatory disability (5.7% compared to 5.7%, a difference of 1.1%), and disability age 5 to 17 (5.3% compared to 5.4%, a difference of 1.6%).
Peruvian vs Latvian Disability
Disability MetricPeruvianLatvian
Disability
Exceptional
10.9%
Excellent
11.4%
Males
Exceptional
10.4%
Good
11.1%
Females
Exceptional
11.3%
Exceptional
11.7%
Age | Under 5 years
Fair
1.3%
Tragic
1.3%
Age | 5 to 17 years
Exceptional
5.3%
Exceptional
5.4%
Age | 18 to 34 years
Exceptional
6.0%
Poor
6.8%
Age | 35 to 64 years
Exceptional
9.9%
Exceptional
10.2%
Age | 65 to 74 years
Exceptional
22.2%
Exceptional
21.2%
Age | Over 75 years
Excellent
46.8%
Exceptional
45.1%
Vision
Exceptional
2.1%
Exceptional
2.0%
Hearing
Exceptional
2.7%
Tragic
3.2%
Cognitive
Exceptional
16.7%
Exceptional
16.6%
Ambulatory
Exceptional
5.7%
Exceptional
5.7%
Self-Care
Exceptional
2.4%
Exceptional
2.3%