Peruvian vs Danish Community Comparison

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Peruvian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDelawareDominicanDutchDutch 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 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
Danish
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

Danes

Average
Excellent
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK

Danish Integration in Peruvian Communities

The statistical analysis conducted on geographies consisting of 330,688,588 people shows a substantial positive correlation between the proportion of Danes within Peruvian communities in the United States with a correlation coefficient (R) of 0.524. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.266% in Danes. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 265.7 Danes.
Peruvian Integration in Danish Communities

Peruvian vs Danish Income

When considering income, the most significant differences between Peruvian and Danish communities in the United States are seen in wage/income gap (25.6% compared to 31.0%, a difference of 20.9%), median female earnings ($40,234 compared to $37,730, a difference of 6.6%), and householder income under 25 years ($56,052 compared to $53,041, a difference of 5.7%). Conversely, both communities are more comparable in terms of median family income ($105,444 compared to $105,900, a difference of 0.43%), householder income ages 45 - 64 years ($105,070 compared to $105,619, a difference of 0.52%), and householder income over 65 years ($62,766 compared to $63,117, a difference of 0.56%).
Peruvian vs Danish Income
Income MetricPeruvianDanish
Per Capita Income
Good
$44,479
Good
$44,095
Median Family Income
Excellent
$105,444
Excellent
$105,900
Median Household Income
Exceptional
$90,261
Excellent
$87,676
Median Earnings
Excellent
$47,628
Average
$46,392
Median Male Earnings
Good
$55,659
Excellent
$56,246
Median Female Earnings
Good
$40,234
Tragic
$37,730
Householder Age | Under 25 years
Exceptional
$56,052
Excellent
$53,041
Householder Age | 25 - 44 years
Exceptional
$98,886
Excellent
$97,221
Householder Age | 45 - 64 years
Exceptional
$105,070
Exceptional
$105,619
Householder Age | Over 65 years
Excellent
$62,766
Exceptional
$63,117
Wage/Income Gap
Good
25.6%
Tragic
31.0%

Peruvian vs Danish Poverty

When considering poverty, the most significant differences between Peruvian and Danish communities in the United States are seen in seniors poverty over the age of 65 (11.7% compared to 8.8%, a difference of 32.8%), seniors poverty over the age of 75 (13.4% compared to 10.2%, a difference of 30.8%), and receiving food stamps (11.7% compared to 9.0%, a difference of 30.0%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.7% compared to 12.8%, a difference of 0.74%), single father poverty (15.4% compared to 15.8%, a difference of 2.3%), and single mother poverty (27.5% compared to 28.5%, a difference of 3.7%).
Peruvian vs Danish Poverty
Poverty MetricPeruvianDanish
Poverty
Excellent
11.8%
Exceptional
10.7%
Families
Good
8.8%
Exceptional
7.3%
Males
Excellent
10.7%
Exceptional
9.7%
Females
Excellent
12.9%
Exceptional
11.7%
Females 18 to 24 years
Exceptional
17.2%
Good
19.8%
Females 25 to 34 years
Exceptional
12.7%
Exceptional
12.8%
Children Under 5 years
Exceptional
16.0%
Exceptional
14.9%
Children Under 16 years
Excellent
15.3%
Exceptional
13.4%
Boys Under 16 years
Excellent
15.5%
Exceptional
13.6%
Girls Under 16 years
Exceptional
15.4%
Exceptional
13.7%
Single Males
Exceptional
11.8%
Average
12.8%
Single Females
Exceptional
19.4%
Good
20.7%
Single Fathers
Exceptional
15.4%
Exceptional
15.8%
Single Mothers
Exceptional
27.5%
Excellent
28.5%
Married Couples
Fair
5.3%
Exceptional
4.1%
Seniors Over 65 years
Tragic
11.7%
Exceptional
8.8%
Seniors Over 75 years
Tragic
13.4%
Exceptional
10.2%
Receiving Food Stamps
Average
11.7%
Exceptional
9.0%

Peruvian vs Danish Unemployment

When considering unemployment, the most significant differences between Peruvian and Danish communities in the United States are seen in unemployment among women with children under 18 years (5.6% compared to 4.5%, a difference of 24.1%), female unemployment (5.4% compared to 4.4%, a difference of 23.8%), and unemployment (5.3% compared to 4.3%, a difference of 22.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.1%, a difference of 5.4%), unemployment among ages 65 to 74 years (5.5% compared to 5.2%, a difference of 6.6%), and unemployment among seniors over 75 years (9.0% compared to 9.7%, a difference of 7.1%).
Peruvian vs Danish Unemployment
Unemployment MetricPeruvianDanish
Unemployment
Fair
5.3%
Exceptional
4.3%
Males
Average
5.3%
Exceptional
4.5%
Females
Tragic
5.4%
Exceptional
4.4%
Youth < 25
Poor
11.8%
Exceptional
10.3%
Age | 16 to 19 years
Fair
17.7%
Exceptional
15.2%
Age | 20 to 24 years
Poor
10.5%
Exceptional
9.3%
Age | 25 to 29 years
Good
6.6%
Exceptional
6.0%
Age | 30 to 34 years
Average
5.5%
Exceptional
5.0%
Age | 35 to 44 years
Average
4.7%
Exceptional
4.1%
Age | 45 to 54 years
Fair
4.6%
Exceptional
3.9%
Age | 55 to 59 years
Fair
4.8%
Exceptional
4.3%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
4.4%
Age | 65 to 74 years
Tragic
5.5%
Exceptional
5.2%
Seniors > 65
Tragic
5.3%
Exceptional
4.9%
Seniors > 75
Tragic
9.0%
Tragic
9.7%
Women w/ Children < 6
Good
7.5%
Exceptional
7.1%
Women w/ Children 6 to 17
Tragic
9.2%
Exceptional
8.1%
Women w/ Children < 18
Poor
5.6%
Exceptional
4.5%

Peruvian vs Danish Labor Participation

When considering labor participation, the most significant differences between Peruvian and Danish communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 44.7%, a difference of 29.2%), in labor force | age 20-24 (74.5% compared to 79.0%, a difference of 6.0%), and in labor force | age > 16 (66.3% compared to 65.3%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.060%), in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.30%), and in labor force | age 20-64 (80.3% compared to 79.9%, a difference of 0.47%).
Peruvian vs Danish Labor Participation
Labor Participation MetricPeruvianDanish
In Labor Force | Age > 16
Exceptional
66.3%
Good
65.3%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
79.9%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
44.7%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
79.0%
In Labor Force | Age 25-29
Good
84.7%
Good
84.8%
In Labor Force | Age 30-34
Good
84.8%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.9%
Fair
84.3%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.3%

Peruvian vs Danish Family Structure

When considering family structure, the most significant differences between Peruvian and Danish communities in the United States are seen in single mother households (6.5% compared to 5.5%, a difference of 18.1%), births to unmarried women (31.5% compared to 28.7%, a difference of 9.8%), and currently married (46.6% compared to 50.5%, a difference of 8.2%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 11.9%, a difference of 0.25%), family households with children (29.0% compared to 28.7%, a difference of 0.87%), and family households (67.1% compared to 66.0%, a difference of 1.7%).
Peruvian vs Danish Family Structure
Family Structure MetricPeruvianDanish
Family Households
Exceptional
67.1%
Exceptional
66.0%
Family Households with Children
Exceptional
29.0%
Exceptional
28.7%
Married-couple Households
Exceptional
47.6%
Exceptional
51.1%
Average Family Size
Exceptional
3.30
Tragic
3.17
Single Father Households
Fair
2.4%
Average
2.3%
Single Mother Households
Fair
6.5%
Exceptional
5.5%
Currently Married
Average
46.6%
Exceptional
50.5%
Divorced or Separated
Excellent
11.9%
Excellent
11.9%
Births to Unmarried Women
Average
31.5%
Exceptional
28.7%

Peruvian vs Danish Vehicle Availability

When considering vehicle availability, the most significant differences between Peruvian and Danish communities in the United States are seen in no vehicles in household (11.2% compared to 6.6%, a difference of 70.7%), 4 or more vehicles in household (6.5% compared to 8.6%, a difference of 32.8%), and 3 or more vehicles in household (19.6% compared to 24.7%, a difference of 25.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 93.5%, a difference of 5.3%), 2 or more vehicles in household (55.0% compared to 63.3%, a difference of 15.1%), and 3 or more vehicles in household (19.6% compared to 24.7%, a difference of 25.9%).
Peruvian vs Danish Vehicle Availability
Vehicle Availability MetricPeruvianDanish
No Vehicles Available
Tragic
11.2%
Exceptional
6.6%
1+ Vehicles Available
Tragic
88.8%
Exceptional
93.5%
2+ Vehicles Available
Fair
55.0%
Exceptional
63.3%
3+ Vehicles Available
Average
19.6%
Exceptional
24.7%
4+ Vehicles Available
Good
6.5%
Exceptional
8.6%

Peruvian vs Danish Education Level

When considering education level, the most significant differences between Peruvian and Danish communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 63.1%), college, under 1 year (64.1% compared to 68.5%, a difference of 6.8%), and doctorate degree (1.8% compared to 1.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of bachelor's degree (38.3% compared to 38.1%, a difference of 0.72%), nursery school (97.6% compared to 98.6%, a difference of 1.0%), and kindergarten (97.6% compared to 98.6%, a difference of 1.0%).
Peruvian vs Danish Education Level
Education Level MetricPeruvianDanish
No Schooling Completed
Tragic
2.4%
Exceptional
1.5%
Nursery School
Tragic
97.6%
Exceptional
98.6%
Kindergarten
Tragic
97.6%
Exceptional
98.6%
1st Grade
Tragic
97.6%
Exceptional
98.6%
2nd Grade
Tragic
97.5%
Exceptional
98.5%
3rd Grade
Tragic
97.4%
Exceptional
98.5%
4th Grade
Tragic
97.1%
Exceptional
98.3%
5th Grade
Tragic
96.8%
Exceptional
98.2%
6th Grade
Tragic
96.4%
Exceptional
98.0%
7th Grade
Tragic
95.1%
Exceptional
97.4%
8th Grade
Tragic
94.7%
Exceptional
97.2%
9th Grade
Tragic
93.8%
Exceptional
96.5%
10th Grade
Tragic
92.6%
Exceptional
95.7%
11th Grade
Tragic
91.5%
Exceptional
94.7%
12th Grade, No Diploma
Tragic
90.2%
Exceptional
93.5%
High School Diploma
Tragic
87.8%
Exceptional
91.8%
GED/Equivalency
Tragic
84.7%
Exceptional
88.4%
College, Under 1 year
Poor
64.1%
Exceptional
68.5%
College, 1 year or more
Fair
58.6%
Exceptional
61.7%
Associate's Degree
Average
46.4%
Good
47.4%
Bachelor's Degree
Good
38.3%
Average
38.1%
Master's Degree
Good
15.3%
Fair
14.5%
Professional Degree
Good
4.5%
Average
4.4%
Doctorate Degree
Fair
1.8%
Good
1.9%

Peruvian vs Danish Disability

When considering disability, the most significant differences between Peruvian and Danish communities in the United States are seen in hearing disability (2.7% compared to 3.6%, a difference of 30.2%), disability age 18 to 34 (6.0% compared to 7.5%, a difference of 25.6%), and disability age under 5 (1.3% compared to 1.5%, a difference of 17.7%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 0.17%), cognitive disability (16.7% compared to 16.7%, a difference of 0.40%), and disability age over 75 (46.8% compared to 46.2%, a difference of 1.4%).
Peruvian vs Danish Disability
Disability MetricPeruvianDanish
Disability
Exceptional
10.9%
Tragic
12.0%
Males
Exceptional
10.4%
Tragic
11.9%
Females
Exceptional
11.3%
Good
12.1%
Age | Under 5 years
Fair
1.3%
Tragic
1.5%
Age | 5 to 17 years
Exceptional
5.3%
Fair
5.7%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.5%
Age | 35 to 64 years
Exceptional
9.9%
Fair
11.4%
Age | 65 to 74 years
Exceptional
22.2%
Excellent
22.8%
Age | Over 75 years
Excellent
46.8%
Exceptional
46.2%
Vision
Exceptional
2.1%
Exceptional
2.1%
Hearing
Exceptional
2.7%
Tragic
3.6%
Cognitive
Exceptional
16.7%
Exceptional
16.7%
Ambulatory
Exceptional
5.7%
Exceptional
5.8%
Self-Care
Exceptional
2.4%
Exceptional
2.3%