Norwegian vs Peruvian Community Comparison

COMPARE

Norwegian
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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania 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

Norwegians

Peruvians

Excellent
Average
8,521
SOCIAL INDEX
82.7/ 100
SOCIAL RATING
68th/ 347
SOCIAL RANK
5,786
SOCIAL INDEX
55.4/ 100
SOCIAL RATING
168th/ 347
SOCIAL RANK

Peruvian Integration in Norwegian Communities

The statistical analysis conducted on geographies consisting of 351,324,116 people shows a moderate positive correlation between the proportion of Peruvians within Norwegian communities in the United States with a correlation coefficient (R) of 0.459. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is an increase of 0.035% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Norwegians corresponds to an increase of 35.2 Peruvians.
Norwegian Integration in Peruvian Communities

Norwegian vs Peruvian Income

When considering income, the most significant differences between Norwegian and Peruvian communities in the United States are seen in wage/income gap (29.0% compared to 25.6%, a difference of 13.1%), householder income under 25 years ($53,127 compared to $56,052, a difference of 5.5%), and median household income ($86,084 compared to $90,261, a difference of 4.9%). Conversely, both communities are more comparable in terms of per capita income ($44,480 compared to $44,479, a difference of 0.0%), median male earnings ($55,965 compared to $55,659, a difference of 0.55%), and median family income ($106,144 compared to $105,444, a difference of 0.66%).
Norwegian vs Peruvian Income
Income MetricNorwegianPeruvian
Per Capita Income
Good
$44,480
Good
$44,479
Median Family Income
Excellent
$106,144
Excellent
$105,444
Median Household Income
Good
$86,084
Exceptional
$90,261
Median Earnings
Good
$46,865
Excellent
$47,628
Median Male Earnings
Excellent
$55,965
Good
$55,659
Median Female Earnings
Poor
$38,802
Good
$40,234
Householder Age | Under 25 years
Exceptional
$53,127
Exceptional
$56,052
Householder Age | 25 - 44 years
Good
$96,866
Exceptional
$98,886
Householder Age | 45 - 64 years
Excellent
$103,682
Exceptional
$105,070
Householder Age | Over 65 years
Average
$61,104
Excellent
$62,766
Wage/Income Gap
Tragic
29.0%
Good
25.6%

Norwegian vs Peruvian Poverty

When considering poverty, the most significant differences between Norwegian and Peruvian communities in the United States are seen in married-couple family poverty (3.7% compared to 5.3%, a difference of 42.5%), seniors poverty over the age of 65 (8.7% compared to 11.7%, a difference of 34.7%), and receiving food stamps (9.0% compared to 11.7%, a difference of 31.1%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.6% compared to 12.7%, a difference of 0.84%), single father poverty (15.9% compared to 15.4%, a difference of 3.1%), and single mother poverty (28.4% compared to 27.5%, a difference of 3.3%).
Norwegian vs Peruvian Poverty
Poverty MetricNorwegianPeruvian
Poverty
Exceptional
10.5%
Excellent
11.8%
Families
Exceptional
6.9%
Good
8.8%
Males
Exceptional
9.5%
Excellent
10.7%
Females
Exceptional
11.5%
Excellent
12.9%
Females 18 to 24 years
Tragic
20.7%
Exceptional
17.2%
Females 25 to 34 years
Exceptional
12.6%
Exceptional
12.7%
Children Under 5 years
Exceptional
14.6%
Exceptional
16.0%
Children Under 16 years
Exceptional
13.0%
Excellent
15.3%
Boys Under 16 years
Exceptional
13.2%
Excellent
15.5%
Girls Under 16 years
Exceptional
13.3%
Exceptional
15.4%
Single Males
Fair
12.9%
Exceptional
11.8%
Single Females
Good
20.8%
Exceptional
19.4%
Single Fathers
Exceptional
15.9%
Exceptional
15.4%
Single Mothers
Exceptional
28.4%
Exceptional
27.5%
Married Couples
Exceptional
3.7%
Fair
5.3%
Seniors Over 65 years
Exceptional
8.7%
Tragic
11.7%
Seniors Over 75 years
Exceptional
10.2%
Tragic
13.4%
Receiving Food Stamps
Exceptional
9.0%
Average
11.7%

Norwegian vs Peruvian Unemployment

When considering unemployment, the most significant differences between Norwegian and Peruvian communities in the United States are seen in female unemployment (4.2% compared to 5.4%, a difference of 30.4%), unemployment among women with children under 18 years (4.4% compared to 5.6%, a difference of 28.3%), and unemployment (4.2% compared to 5.3%, a difference of 27.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.2% compared to 7.5%, a difference of 4.3%), unemployment among seniors over 75 years (9.8% compared to 9.0%, a difference of 8.3%), and unemployment among ages 30 to 34 years (5.0% compared to 5.5%, a difference of 9.6%).
Norwegian vs Peruvian Unemployment
Unemployment MetricNorwegianPeruvian
Unemployment
Exceptional
4.2%
Fair
5.3%
Males
Exceptional
4.4%
Average
5.3%
Females
Exceptional
4.2%
Tragic
5.4%
Youth < 25
Exceptional
9.8%
Poor
11.8%
Age | 16 to 19 years
Exceptional
14.5%
Fair
17.7%
Age | 20 to 24 years
Exceptional
9.0%
Poor
10.5%
Age | 25 to 29 years
Exceptional
6.0%
Good
6.6%
Age | 30 to 34 years
Exceptional
5.0%
Average
5.5%
Age | 35 to 44 years
Exceptional
4.0%
Average
4.7%
Age | 45 to 54 years
Exceptional
3.9%
Fair
4.6%
Age | 55 to 59 years
Exceptional
4.2%
Fair
4.8%
Age | 60 to 64 years
Exceptional
4.3%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
5.0%
Tragic
5.5%
Seniors > 65
Exceptional
4.7%
Tragic
5.3%
Seniors > 75
Tragic
9.8%
Tragic
9.0%
Women w/ Children < 6
Exceptional
7.2%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
8.3%
Tragic
9.2%
Women w/ Children < 18
Exceptional
4.4%
Poor
5.6%

Norwegian vs Peruvian Labor Participation

When considering labor participation, the most significant differences between Norwegian and Peruvian communities in the United States are seen in in labor force | age 16-19 (46.2% compared to 34.6%, a difference of 33.5%), in labor force | age 20-24 (80.1% compared to 74.5%, a difference of 7.5%), 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 (81.0% compared to 80.3%, a difference of 0.81%), in labor force | age 35-44 (85.6% compared to 84.9%, a difference of 0.81%), and in labor force | age > 16 (65.7% compared to 66.3%, a difference of 0.93%).
Norwegian vs Peruvian Labor Participation
Labor Participation MetricNorwegianPeruvian
In Labor Force | Age > 16
Exceptional
65.7%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
81.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
46.2%
Tragic
34.6%
In Labor Force | Age 20-24
Exceptional
80.1%
Poor
74.5%
In Labor Force | Age 25-29
Exceptional
86.1%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.7%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
85.6%
Exceptional
84.9%
In Labor Force | Age 45-54
Exceptional
84.4%
Exceptional
83.6%

Norwegian vs Peruvian Family Structure

When considering family structure, the most significant differences between Norwegian and Peruvian communities in the United States are seen in single mother households (5.5% compared to 6.5%, a difference of 19.5%), currently married (50.2% compared to 46.6%, a difference of 7.6%), and births to unmarried women (29.3% compared to 31.5%, a difference of 7.4%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 1.1%), divorced or separated (12.1% compared to 11.9%, a difference of 1.9%), and married-couple households (49.5% compared to 47.6%, a difference of 4.0%).
Norwegian vs Peruvian Family Structure
Family Structure MetricNorwegianPeruvian
Family Households
Poor
63.9%
Exceptional
67.1%
Family Households with Children
Fair
27.4%
Exceptional
29.0%
Married-couple Households
Exceptional
49.5%
Exceptional
47.6%
Average Family Size
Tragic
3.08
Exceptional
3.30
Single Father Households
Poor
2.4%
Fair
2.4%
Single Mother Households
Exceptional
5.5%
Fair
6.5%
Currently Married
Exceptional
50.2%
Average
46.6%
Divorced or Separated
Fair
12.1%
Excellent
11.9%
Births to Unmarried Women
Exceptional
29.3%
Average
31.5%

Norwegian vs Peruvian Vehicle Availability

When considering vehicle availability, the most significant differences between Norwegian and Peruvian communities in the United States are seen in no vehicles in household (6.4% compared to 11.2%, a difference of 74.7%), 4 or more vehicles in household (8.0% compared to 6.5%, a difference of 23.8%), and 3 or more vehicles in household (23.9% compared to 19.6%, a difference of 21.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.7% compared to 88.8%, a difference of 5.5%), 2 or more vehicles in household (62.8% compared to 55.0%, a difference of 14.3%), and 3 or more vehicles in household (23.9% compared to 19.6%, a difference of 21.6%).
Norwegian vs Peruvian Vehicle Availability
Vehicle Availability MetricNorwegianPeruvian
No Vehicles Available
Exceptional
6.4%
Tragic
11.2%
1+ Vehicles Available
Exceptional
93.7%
Tragic
88.8%
2+ Vehicles Available
Exceptional
62.8%
Fair
55.0%
3+ Vehicles Available
Exceptional
23.9%
Average
19.6%
4+ Vehicles Available
Exceptional
8.0%
Good
6.5%

Norwegian vs Peruvian Education Level

When considering education level, the most significant differences between Norwegian and Peruvian communities in the United States are seen in no schooling completed (1.3% compared to 2.4%, a difference of 77.2%), master's degree (14.0% compared to 15.3%, a difference of 8.9%), and professional degree (4.2% compared to 4.5%, a difference of 7.6%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 97.6%, a difference of 1.1%), kindergarten (98.7% compared to 97.6%, a difference of 1.1%), and 1st grade (98.7% compared to 97.6%, a difference of 1.2%).
Norwegian vs Peruvian Education Level
Education Level MetricNorwegianPeruvian
No Schooling Completed
Exceptional
1.3%
Tragic
2.4%
Nursery School
Exceptional
98.7%
Tragic
97.6%
Kindergarten
Exceptional
98.7%
Tragic
97.6%
1st Grade
Exceptional
98.7%
Tragic
97.6%
2nd Grade
Exceptional
98.7%
Tragic
97.5%
3rd Grade
Exceptional
98.6%
Tragic
97.4%
4th Grade
Exceptional
98.5%
Tragic
97.1%
5th Grade
Exceptional
98.4%
Tragic
96.8%
6th Grade
Exceptional
98.3%
Tragic
96.4%
7th Grade
Exceptional
97.8%
Tragic
95.1%
8th Grade
Exceptional
97.6%
Tragic
94.7%
9th Grade
Exceptional
96.9%
Tragic
93.8%
10th Grade
Exceptional
96.2%
Tragic
92.6%
11th Grade
Exceptional
95.2%
Tragic
91.5%
12th Grade, No Diploma
Exceptional
94.0%
Tragic
90.2%
High School Diploma
Exceptional
92.5%
Tragic
87.8%
GED/Equivalency
Exceptional
89.0%
Tragic
84.7%
College, Under 1 year
Exceptional
68.4%
Poor
64.1%
College, 1 year or more
Exceptional
61.7%
Fair
58.6%
Associate's Degree
Excellent
47.6%
Average
46.4%
Bachelor's Degree
Average
37.5%
Good
38.3%
Master's Degree
Poor
14.0%
Good
15.3%
Professional Degree
Fair
4.2%
Good
4.5%
Doctorate Degree
Average
1.8%
Fair
1.8%

Norwegian vs Peruvian Disability

When considering disability, the most significant differences between Norwegian and Peruvian communities in the United States are seen in hearing disability (3.7% compared to 2.7%, a difference of 35.1%), disability age under 5 (1.7% compared to 1.3%, a difference of 33.7%), and disability age 18 to 34 (7.6% compared to 6.0%, a difference of 27.8%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.7%, a difference of 1.0%), disability age 65 to 74 (22.5% compared to 22.2%, a difference of 1.1%), and vision disability (2.0% compared to 2.1%, a difference of 1.3%).
Norwegian vs Peruvian Disability
Disability MetricNorwegianPeruvian
Disability
Tragic
12.2%
Exceptional
10.9%
Males
Tragic
12.2%
Exceptional
10.4%
Females
Fair
12.3%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.7%
Fair
1.3%
Age | 5 to 17 years
Fair
5.7%
Exceptional
5.3%
Age | 18 to 34 years
Tragic
7.6%
Exceptional
6.0%
Age | 35 to 64 years
Fair
11.5%
Exceptional
9.9%
Age | 65 to 74 years
Exceptional
22.5%
Exceptional
22.2%
Age | Over 75 years
Exceptional
45.5%
Excellent
46.8%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Tragic
3.7%
Exceptional
2.7%
Cognitive
Exceptional
16.5%
Exceptional
16.7%
Ambulatory
Exceptional
5.9%
Exceptional
5.7%
Self-Care
Exceptional
2.3%
Exceptional
2.4%