Norwegian vs Malaysian Community Comparison

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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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalteseMarshalleseMenomineeMexicanMexican 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
Malaysian
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

Malaysians

Excellent
Fair
8,521
SOCIAL INDEX
82.7/ 100
SOCIAL RATING
68th/ 347
SOCIAL RANK
3,136
SOCIAL INDEX
28.9/ 100
SOCIAL RATING
232nd/ 347
SOCIAL RANK

Malaysian Integration in Norwegian Communities

The statistical analysis conducted on geographies consisting of 223,127,813 people shows a mild positive correlation between the proportion of Malaysians within Norwegian communities in the United States with a correlation coefficient (R) of 0.385. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is an increase of 0.035% in Malaysians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Norwegians corresponds to an increase of 34.6 Malaysians.
Norwegian Integration in Malaysian Communities

Norwegian vs Malaysian Income

When considering income, the most significant differences between Norwegian and Malaysian communities in the United States are seen in wage/income gap (29.0% compared to 25.0%, a difference of 15.6%), per capita income ($44,480 compared to $39,194, a difference of 13.5%), and median family income ($106,144 compared to $95,230, a difference of 11.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,127 compared to $51,615, a difference of 2.9%), median female earnings ($38,802 compared to $37,298, a difference of 4.0%), and householder income over 65 years ($61,104 compared to $58,244, a difference of 4.9%).
Norwegian vs Malaysian Income
Income MetricNorwegianMalaysian
Per Capita Income
Good
$44,480
Tragic
$39,194
Median Family Income
Excellent
$106,144
Tragic
$95,230
Median Household Income
Good
$86,084
Tragic
$81,064
Median Earnings
Good
$46,865
Tragic
$43,844
Median Male Earnings
Excellent
$55,965
Tragic
$50,772
Median Female Earnings
Poor
$38,802
Tragic
$37,298
Householder Age | Under 25 years
Exceptional
$53,127
Poor
$51,615
Householder Age | 25 - 44 years
Good
$96,866
Tragic
$88,291
Householder Age | 45 - 64 years
Excellent
$103,682
Tragic
$94,517
Householder Age | Over 65 years
Average
$61,104
Tragic
$58,244
Wage/Income Gap
Tragic
29.0%
Excellent
25.0%

Norwegian vs Malaysian Poverty

When considering poverty, the most significant differences between Norwegian and Malaysian communities in the United States are seen in married-couple family poverty (3.7% compared to 5.4%, a difference of 44.0%), receiving food stamps (9.0% compared to 12.7%, a difference of 41.9%), and family poverty (6.9% compared to 9.6%, a difference of 39.9%). Conversely, both communities are more comparable in terms of single male poverty (12.9% compared to 12.6%, a difference of 2.5%), female poverty among 18-24 year olds (20.7% compared to 19.9%, a difference of 4.4%), and single mother poverty (28.4% compared to 29.7%, a difference of 4.7%).
Norwegian vs Malaysian Poverty
Poverty MetricNorwegianMalaysian
Poverty
Exceptional
10.5%
Tragic
13.1%
Families
Exceptional
6.9%
Poor
9.6%
Males
Exceptional
9.5%
Tragic
12.0%
Females
Exceptional
11.5%
Tragic
14.3%
Females 18 to 24 years
Tragic
20.7%
Good
19.9%
Females 25 to 34 years
Exceptional
12.6%
Tragic
14.7%
Children Under 5 years
Exceptional
14.6%
Tragic
18.4%
Children Under 16 years
Exceptional
13.0%
Tragic
17.5%
Boys Under 16 years
Exceptional
13.2%
Tragic
17.6%
Girls Under 16 years
Exceptional
13.3%
Tragic
17.8%
Single Males
Fair
12.9%
Good
12.6%
Single Females
Good
20.8%
Tragic
22.2%
Single Fathers
Exceptional
15.9%
Exceptional
14.9%
Single Mothers
Exceptional
28.4%
Poor
29.7%
Married Couples
Exceptional
3.7%
Fair
5.4%
Seniors Over 65 years
Exceptional
8.7%
Good
10.8%
Seniors Over 75 years
Exceptional
10.2%
Excellent
11.8%
Receiving Food Stamps
Exceptional
9.0%
Tragic
12.7%

Norwegian vs Malaysian Unemployment

When considering unemployment, the most significant differences between Norwegian and Malaysian communities in the United States are seen in female unemployment (4.2% compared to 5.3%, a difference of 27.0%), unemployment (4.2% compared to 5.3%, a difference of 25.6%), and unemployment among women with children under 18 years (4.4% compared to 5.5%, a difference of 25.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.3% compared to 8.6%, a difference of 2.9%), unemployment among ages 65 to 74 years (5.0% compared to 5.2%, a difference of 5.4%), and unemployment among women with children under 6 years (7.2% compared to 7.7%, a difference of 7.3%).
Norwegian vs Malaysian Unemployment
Unemployment MetricNorwegianMalaysian
Unemployment
Exceptional
4.2%
Average
5.3%
Males
Exceptional
4.4%
Fair
5.3%
Females
Exceptional
4.2%
Average
5.3%
Youth < 25
Exceptional
9.8%
Excellent
11.4%
Age | 16 to 19 years
Exceptional
14.5%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.0%
Exceptional
9.8%
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%
Fair
4.7%
Age | 45 to 54 years
Exceptional
3.9%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.2%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.3%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
5.0%
Exceptional
5.2%
Seniors > 65
Exceptional
4.7%
Exceptional
5.1%
Seniors > 75
Tragic
9.8%
Poor
8.9%
Women w/ Children < 6
Exceptional
7.2%
Fair
7.7%
Women w/ Children 6 to 17
Exceptional
8.3%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
4.4%
Fair
5.5%

Norwegian vs Malaysian Labor Participation

When considering labor participation, the most significant differences between Norwegian and Malaysian communities in the United States are seen in in labor force | age 16-19 (46.2% compared to 39.7%, a difference of 16.3%), in labor force | age 20-24 (80.1% compared to 77.2%, a difference of 3.8%), and in labor force | age 45-54 (84.4% compared to 82.0%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.7% compared to 66.1%, a difference of 0.67%), in labor force | age 25-29 (86.1% compared to 84.6%, a difference of 1.8%), and in labor force | age 20-64 (81.0% compared to 79.5%, a difference of 1.9%).
Norwegian vs Malaysian Labor Participation
Labor Participation MetricNorwegianMalaysian
In Labor Force | Age > 16
Exceptional
65.7%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
81.0%
Fair
79.5%
In Labor Force | Age 16-19
Exceptional
46.2%
Exceptional
39.7%
In Labor Force | Age 20-24
Exceptional
80.1%
Exceptional
77.2%
In Labor Force | Age 25-29
Exceptional
86.1%
Average
84.6%
In Labor Force | Age 30-34
Exceptional
85.7%
Tragic
84.1%
In Labor Force | Age 35-44
Exceptional
85.6%
Tragic
83.8%
In Labor Force | Age 45-54
Exceptional
84.4%
Tragic
82.0%

Norwegian vs Malaysian Family Structure

When considering family structure, the most significant differences between Norwegian and Malaysian communities in the United States are seen in single mother households (5.5% compared to 7.3%, a difference of 33.7%), births to unmarried women (29.3% compared to 33.9%, a difference of 15.5%), and single father households (2.4% compared to 2.7%, a difference of 13.5%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 12.4%, a difference of 2.0%), family households (63.9% compared to 65.9%, a difference of 3.1%), and married-couple households (49.5% compared to 46.3%, a difference of 7.0%).
Norwegian vs Malaysian Family Structure
Family Structure MetricNorwegianMalaysian
Family Households
Poor
63.9%
Exceptional
65.9%
Family Households with Children
Fair
27.4%
Exceptional
29.8%
Married-couple Households
Exceptional
49.5%
Average
46.3%
Average Family Size
Tragic
3.08
Exceptional
3.31
Single Father Households
Poor
2.4%
Tragic
2.7%
Single Mother Households
Exceptional
5.5%
Tragic
7.3%
Currently Married
Exceptional
50.2%
Poor
45.9%
Divorced or Separated
Fair
12.1%
Tragic
12.4%
Births to Unmarried Women
Exceptional
29.3%
Tragic
33.9%

Norwegian vs Malaysian Vehicle Availability

When considering vehicle availability, the most significant differences between Norwegian and Malaysian communities in the United States are seen in no vehicles in household (6.4% compared to 7.7%, a difference of 19.7%), 3 or more vehicles in household (23.9% compared to 22.6%, a difference of 5.6%), and 2 or more vehicles in household (62.8% compared to 59.8%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.7% compared to 92.3%, a difference of 1.5%), 4 or more vehicles in household (8.0% compared to 7.7%, a difference of 4.3%), and 2 or more vehicles in household (62.8% compared to 59.8%, a difference of 5.0%).
Norwegian vs Malaysian Vehicle Availability
Vehicle Availability MetricNorwegianMalaysian
No Vehicles Available
Exceptional
6.4%
Exceptional
7.7%
1+ Vehicles Available
Exceptional
93.7%
Exceptional
92.3%
2+ Vehicles Available
Exceptional
62.8%
Exceptional
59.8%
3+ Vehicles Available
Exceptional
23.9%
Exceptional
22.6%
4+ Vehicles Available
Exceptional
8.0%
Exceptional
7.7%

Norwegian vs Malaysian Education Level

When considering education level, the most significant differences between Norwegian and Malaysian communities in the United States are seen in no schooling completed (1.3% compared to 2.8%, a difference of 105.2%), doctorate degree (1.8% compared to 1.5%, a difference of 26.3%), and professional degree (4.2% compared to 3.4%, a difference of 23.4%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 97.3%, a difference of 1.5%), kindergarten (98.7% compared to 97.2%, a difference of 1.5%), and 1st grade (98.7% compared to 97.2%, a difference of 1.5%).
Norwegian vs Malaysian Education Level
Education Level MetricNorwegianMalaysian
No Schooling Completed
Exceptional
1.3%
Tragic
2.8%
Nursery School
Exceptional
98.7%
Tragic
97.3%
Kindergarten
Exceptional
98.7%
Tragic
97.2%
1st Grade
Exceptional
98.7%
Tragic
97.2%
2nd Grade
Exceptional
98.7%
Tragic
97.1%
3rd Grade
Exceptional
98.6%
Tragic
97.0%
4th Grade
Exceptional
98.5%
Tragic
96.7%
5th Grade
Exceptional
98.4%
Tragic
96.5%
6th Grade
Exceptional
98.3%
Tragic
96.2%
7th Grade
Exceptional
97.8%
Tragic
94.8%
8th Grade
Exceptional
97.6%
Tragic
94.5%
9th Grade
Exceptional
96.9%
Tragic
93.5%
10th Grade
Exceptional
96.2%
Tragic
92.2%
11th Grade
Exceptional
95.2%
Tragic
90.8%
12th Grade, No Diploma
Exceptional
94.0%
Tragic
89.2%
High School Diploma
Exceptional
92.5%
Tragic
87.0%
GED/Equivalency
Exceptional
89.0%
Tragic
83.3%
College, Under 1 year
Exceptional
68.4%
Tragic
62.2%
College, 1 year or more
Exceptional
61.7%
Tragic
55.6%
Associate's Degree
Excellent
47.6%
Tragic
41.6%
Bachelor's Degree
Average
37.5%
Tragic
32.9%
Master's Degree
Poor
14.0%
Tragic
12.0%
Professional Degree
Fair
4.2%
Tragic
3.4%
Doctorate Degree
Average
1.8%
Tragic
1.5%

Norwegian vs Malaysian Disability

When considering disability, the most significant differences between Norwegian and Malaysian communities in the United States are seen in disability age under 5 (1.7% compared to 1.3%, a difference of 29.7%), hearing disability (3.7% compared to 3.2%, a difference of 16.0%), and vision disability (2.0% compared to 2.3%, a difference of 13.6%). Conversely, both communities are more comparable in terms of disability (12.2% compared to 12.2%, a difference of 0.35%), female disability (12.3% compared to 12.5%, a difference of 2.3%), and disability age 5 to 17 (5.7% compared to 5.8%, a difference of 2.5%).
Norwegian vs Malaysian Disability
Disability MetricNorwegianMalaysian
Disability
Tragic
12.2%
Tragic
12.2%
Males
Tragic
12.2%
Tragic
11.8%
Females
Fair
12.3%
Tragic
12.5%
Age | Under 5 years
Tragic
1.7%
Poor
1.3%
Age | 5 to 17 years
Fair
5.7%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.6%
Tragic
7.2%
Age | 35 to 64 years
Fair
11.5%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
22.5%
Tragic
25.4%
Age | Over 75 years
Exceptional
45.5%
Tragic
49.0%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Tragic
3.7%
Tragic
3.2%
Cognitive
Exceptional
16.5%
Tragic
17.9%
Ambulatory
Exceptional
5.9%
Fair
6.2%
Self-Care
Exceptional
2.3%
Tragic
2.5%