Latvian vs Peruvian Community Comparison

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

Social Comparison

Latvians

Peruvians

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

Peruvian Integration in Latvian Communities

The statistical analysis conducted on geographies consisting of 187,646,215 people shows a weak positive correlation between the proportion of Peruvians within Latvian communities in the United States with a correlation coefficient (R) of 0.296. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.058% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 58.4 Peruvians.
Latvian Integration in Peruvian Communities

Latvian vs Peruvian Income

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

Latvian vs Peruvian Poverty

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

Latvian vs Peruvian Unemployment

When considering unemployment, the most significant differences between Latvian and Peruvian communities in the United States are seen in female unemployment (4.7% compared to 5.4%, a difference of 16.1%), unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 15.7%), and unemployment (4.7% compared to 5.3%, a difference of 13.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.6% compared to 4.8%, a difference of 4.6%), unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 4.9%), and unemployment among ages 20 to 24 years (9.9% compared to 10.5%, a difference of 5.2%).
Latvian vs Peruvian Unemployment
Unemployment MetricLatvianPeruvian
Unemployment
Exceptional
4.7%
Fair
5.3%
Males
Exceptional
4.8%
Average
5.3%
Females
Exceptional
4.7%
Tragic
5.4%
Youth < 25
Exceptional
11.0%
Poor
11.8%
Age | 16 to 19 years
Exceptional
16.7%
Fair
17.7%
Age | 20 to 24 years
Exceptional
9.9%
Poor
10.5%
Age | 25 to 29 years
Exceptional
6.2%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.2%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.6%
Fair
4.8%
Age | 60 to 64 years
Good
4.8%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
5.1%
Tragic
5.5%
Seniors > 65
Exceptional
4.9%
Tragic
5.3%
Seniors > 75
Excellent
8.6%
Tragic
9.0%
Women w/ Children < 6
Exceptional
6.8%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.6%
Tragic
9.2%
Women w/ Children < 18
Exceptional
4.9%
Poor
5.6%

Latvian vs Peruvian Labor Participation

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

Latvian vs Peruvian Family Structure

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

Latvian vs Peruvian Vehicle Availability

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

Latvian vs Peruvian Education Level

When considering education level, the most significant differences between Latvian and Peruvian communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 54.9%), doctorate degree (2.6% compared to 1.8%, a difference of 43.5%), and professional degree (6.2% compared to 4.5%, a difference of 38.6%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.6%, a difference of 0.90%), kindergarten (98.5% compared to 97.6%, a difference of 0.92%), and 1st grade (98.5% compared to 97.6%, a difference of 0.92%).
Latvian vs Peruvian Education Level
Education Level MetricLatvianPeruvian
No Schooling Completed
Exceptional
1.5%
Tragic
2.4%
Nursery School
Exceptional
98.5%
Tragic
97.6%
Kindergarten
Exceptional
98.5%
Tragic
97.6%
1st Grade
Exceptional
98.5%
Tragic
97.6%
2nd Grade
Exceptional
98.4%
Tragic
97.5%
3rd Grade
Exceptional
98.4%
Tragic
97.4%
4th Grade
Exceptional
98.2%
Tragic
97.1%
5th Grade
Exceptional
98.1%
Tragic
96.8%
6th Grade
Exceptional
97.9%
Tragic
96.4%
7th Grade
Exceptional
97.2%
Tragic
95.1%
8th Grade
Exceptional
97.0%
Tragic
94.7%
9th Grade
Exceptional
96.4%
Tragic
93.8%
10th Grade
Exceptional
95.6%
Tragic
92.6%
11th Grade
Exceptional
94.7%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
90.2%
High School Diploma
Exceptional
92.0%
Tragic
87.8%
GED/Equivalency
Exceptional
89.2%
Tragic
84.7%
College, Under 1 year
Exceptional
71.6%
Poor
64.1%
College, 1 year or more
Exceptional
66.1%
Fair
58.6%
Associate's Degree
Exceptional
53.9%
Average
46.4%
Bachelor's Degree
Exceptional
46.1%
Good
38.3%
Master's Degree
Exceptional
19.8%
Good
15.3%
Professional Degree
Exceptional
6.2%
Good
4.5%
Doctorate Degree
Exceptional
2.6%
Fair
1.8%

Latvian vs Peruvian Disability

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