Norwegian vs Burmese Community Comparison

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Norwegian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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
Burmese
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

Burmese

Excellent
Exceptional
8,521
SOCIAL INDEX
82.7/ 100
SOCIAL RATING
68th/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Norwegian Communities

The statistical analysis conducted on geographies consisting of 449,451,795 people shows a mild positive correlation between the proportion of Burmese within Norwegian communities in the United States with a correlation coefficient (R) of 0.355. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is an increase of 0.022% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Norwegians corresponds to an increase of 21.9 Burmese.
Norwegian Integration in Burmese Communities

Norwegian vs Burmese Income

When considering income, the most significant differences between Norwegian and Burmese communities in the United States are seen in median household income ($86,084 compared to $103,145, a difference of 19.8%), householder income ages 25 - 44 years ($96,866 compared to $113,701, a difference of 17.4%), and householder income ages 45 - 64 years ($103,682 compared to $121,444, a difference of 17.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,127 compared to $54,800, a difference of 3.2%), wage/income gap (29.0% compared to 28.0%, a difference of 3.4%), and median female earnings ($38,802 compared to $44,911, a difference of 15.7%).
Norwegian vs Burmese Income
Income MetricNorwegianBurmese
Per Capita Income
Good
$44,480
Exceptional
$52,005
Median Family Income
Excellent
$106,144
Exceptional
$123,369
Median Household Income
Good
$86,084
Exceptional
$103,145
Median Earnings
Good
$46,865
Exceptional
$54,559
Median Male Earnings
Excellent
$55,965
Exceptional
$65,236
Median Female Earnings
Poor
$38,802
Exceptional
$44,911
Householder Age | Under 25 years
Exceptional
$53,127
Exceptional
$54,800
Householder Age | 25 - 44 years
Good
$96,866
Exceptional
$113,701
Householder Age | 45 - 64 years
Excellent
$103,682
Exceptional
$121,444
Householder Age | Over 65 years
Average
$61,104
Exceptional
$71,139
Wage/Income Gap
Tragic
29.0%
Tragic
28.0%

Norwegian vs Burmese Poverty

When considering poverty, the most significant differences between Norwegian and Burmese communities in the United States are seen in married-couple family poverty (3.7% compared to 4.3%, a difference of 16.3%), seniors poverty over the age of 65 (8.7% compared to 10.1%, a difference of 16.0%), and seniors poverty over the age of 75 (10.2% compared to 11.7%, a difference of 14.5%). Conversely, both communities are more comparable in terms of female poverty (11.5% compared to 11.6%, a difference of 0.90%), child poverty under the age of 16 (13.0% compared to 12.8%, a difference of 1.2%), and poverty (10.5% compared to 10.7%, a difference of 1.5%).
Norwegian vs Burmese Poverty
Poverty MetricNorwegianBurmese
Poverty
Exceptional
10.5%
Exceptional
10.7%
Families
Exceptional
6.9%
Exceptional
7.3%
Males
Exceptional
9.5%
Exceptional
9.7%
Females
Exceptional
11.5%
Exceptional
11.6%
Females 18 to 24 years
Tragic
20.7%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
12.6%
Exceptional
11.2%
Children Under 5 years
Exceptional
14.6%
Exceptional
13.2%
Children Under 16 years
Exceptional
13.0%
Exceptional
12.8%
Boys Under 16 years
Exceptional
13.2%
Exceptional
13.0%
Girls Under 16 years
Exceptional
13.3%
Exceptional
13.0%
Single Males
Fair
12.9%
Exceptional
11.7%
Single Females
Good
20.8%
Exceptional
18.3%
Single Fathers
Exceptional
15.9%
Exceptional
15.5%
Single Mothers
Exceptional
28.4%
Exceptional
26.2%
Married Couples
Exceptional
3.7%
Exceptional
4.3%
Seniors Over 65 years
Exceptional
8.7%
Exceptional
10.1%
Seniors Over 75 years
Exceptional
10.2%
Excellent
11.7%
Receiving Food Stamps
Exceptional
9.0%
Exceptional
8.6%

Norwegian vs Burmese Unemployment

When considering unemployment, the most significant differences between Norwegian and Burmese communities in the United States are seen in female unemployment (4.2% compared to 5.0%, a difference of 20.3%), unemployment among seniors over 75 years (9.8% compared to 8.2%, a difference of 19.7%), and unemployment (4.2% compared to 4.9%, a difference of 17.5%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.0% compared to 6.2%, a difference of 3.3%), unemployment among ages 30 to 34 years (5.0% compared to 5.1%, a difference of 3.3%), and unemployment among women with children ages 6 to 17 years (8.3% compared to 8.0%, a difference of 4.5%).
Norwegian vs Burmese Unemployment
Unemployment MetricNorwegianBurmese
Unemployment
Exceptional
4.2%
Exceptional
4.9%
Males
Exceptional
4.4%
Exceptional
4.9%
Females
Exceptional
4.2%
Exceptional
5.0%
Youth < 25
Exceptional
9.8%
Excellent
11.3%
Age | 16 to 19 years
Exceptional
14.5%
Exceptional
17.0%
Age | 20 to 24 years
Exceptional
9.0%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.0%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.0%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.0%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
3.9%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.2%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.3%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.0%
Exceptional
5.2%
Seniors > 65
Exceptional
4.7%
Exceptional
5.0%
Seniors > 75
Tragic
9.8%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
7.2%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.3%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
4.4%
Exceptional
4.9%

Norwegian vs Burmese Labor Participation

When considering labor participation, the most significant differences between Norwegian and Burmese communities in the United States are seen in in labor force | age 16-19 (46.2% compared to 34.5%, a difference of 33.9%), in labor force | age 20-24 (80.1% compared to 73.6%, a difference of 8.9%), and in labor force | age 25-29 (86.1% compared to 85.1%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.7% compared to 85.3%, a difference of 0.57%), in labor force | age > 16 (65.7% compared to 66.2%, a difference of 0.79%), and in labor force | age 20-64 (81.0% compared to 80.3%, a difference of 0.87%).
Norwegian vs Burmese Labor Participation
Labor Participation MetricNorwegianBurmese
In Labor Force | Age > 16
Exceptional
65.7%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
81.0%
Exceptional
80.3%
In Labor Force | Age 16-19
Exceptional
46.2%
Tragic
34.5%
In Labor Force | Age 20-24
Exceptional
80.1%
Tragic
73.6%
In Labor Force | Age 25-29
Exceptional
86.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.7%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
85.6%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
84.4%
Exceptional
83.6%

Norwegian vs Burmese Family Structure

When considering family structure, the most significant differences between Norwegian and Burmese communities in the United States are seen in single father households (2.4% compared to 2.0%, a difference of 18.3%), divorced or separated (12.1% compared to 10.7%, a difference of 13.2%), and births to unmarried women (29.3% compared to 26.4%, a difference of 11.3%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.8%, a difference of 0.56%), currently married (50.2% compared to 48.9%, a difference of 2.5%), and family households (63.9% compared to 65.7%, a difference of 2.9%).
Norwegian vs Burmese Family Structure
Family Structure MetricNorwegianBurmese
Family Households
Poor
63.9%
Exceptional
65.7%
Family Households with Children
Fair
27.4%
Exceptional
28.5%
Married-couple Households
Exceptional
49.5%
Exceptional
49.8%
Average Family Size
Tragic
3.08
Fair
3.22
Single Father Households
Poor
2.4%
Exceptional
2.0%
Single Mother Households
Exceptional
5.5%
Exceptional
5.3%
Currently Married
Exceptional
50.2%
Exceptional
48.9%
Divorced or Separated
Fair
12.1%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
29.3%
Exceptional
26.4%

Norwegian vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Norwegian and Burmese communities in the United States are seen in no vehicles in household (6.4% compared to 9.7%, a difference of 50.3%), 4 or more vehicles in household (8.0% compared to 6.8%, a difference of 17.2%), and 3 or more vehicles in household (23.9% compared to 20.6%, a difference of 15.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.7% compared to 90.4%, a difference of 3.6%), 2 or more vehicles in household (62.8% compared to 57.8%, a difference of 8.7%), and 3 or more vehicles in household (23.9% compared to 20.6%, a difference of 15.6%).
Norwegian vs Burmese Vehicle Availability
Vehicle Availability MetricNorwegianBurmese
No Vehicles Available
Exceptional
6.4%
Excellent
9.7%
1+ Vehicles Available
Exceptional
93.7%
Excellent
90.4%
2+ Vehicles Available
Exceptional
62.8%
Exceptional
57.8%
3+ Vehicles Available
Exceptional
23.9%
Exceptional
20.6%
4+ Vehicles Available
Exceptional
8.0%
Exceptional
6.8%

Norwegian vs Burmese Education Level

When considering education level, the most significant differences between Norwegian and Burmese communities in the United States are seen in professional degree (4.2% compared to 6.1%, a difference of 46.6%), no schooling completed (1.3% compared to 1.9%, a difference of 44.6%), and doctorate degree (1.8% compared to 2.6%, a difference of 43.3%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 98.1%, a difference of 0.66%), kindergarten (98.7% compared to 98.1%, a difference of 0.67%), and 1st grade (98.7% compared to 98.0%, a difference of 0.69%).
Norwegian vs Burmese Education Level
Education Level MetricNorwegianBurmese
No Schooling Completed
Exceptional
1.3%
Excellent
1.9%
Nursery School
Exceptional
98.7%
Excellent
98.1%
Kindergarten
Exceptional
98.7%
Excellent
98.1%
1st Grade
Exceptional
98.7%
Excellent
98.0%
2nd Grade
Exceptional
98.7%
Excellent
98.0%
3rd Grade
Exceptional
98.6%
Good
97.9%
4th Grade
Exceptional
98.5%
Excellent
97.7%
5th Grade
Exceptional
98.4%
Excellent
97.5%
6th Grade
Exceptional
98.3%
Excellent
97.3%
7th Grade
Exceptional
97.8%
Excellent
96.3%
8th Grade
Exceptional
97.6%
Exceptional
96.1%
9th Grade
Exceptional
96.9%
Exceptional
95.4%
10th Grade
Exceptional
96.2%
Exceptional
94.5%
11th Grade
Exceptional
95.2%
Exceptional
93.6%
12th Grade, No Diploma
Exceptional
94.0%
Exceptional
92.6%
High School Diploma
Exceptional
92.5%
Exceptional
90.8%
GED/Equivalency
Exceptional
89.0%
Exceptional
88.3%
College, Under 1 year
Exceptional
68.4%
Exceptional
71.9%
College, 1 year or more
Exceptional
61.7%
Exceptional
66.7%
Associate's Degree
Excellent
47.6%
Exceptional
54.6%
Bachelor's Degree
Average
37.5%
Exceptional
46.9%
Master's Degree
Poor
14.0%
Exceptional
19.7%
Professional Degree
Fair
4.2%
Exceptional
6.1%
Doctorate Degree
Average
1.8%
Exceptional
2.6%

Norwegian vs Burmese Disability

When considering disability, the most significant differences between Norwegian and Burmese communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 49.3%), hearing disability (3.7% compared to 2.8%, a difference of 31.8%), and disability age 18 to 34 (7.6% compared to 6.0%, a difference of 27.3%). Conversely, both communities are more comparable in terms of disability age over 75 (45.5% compared to 45.9%, a difference of 0.85%), cognitive disability (16.5% compared to 16.7%, a difference of 0.98%), and self-care disability (2.3% compared to 2.3%, a difference of 1.1%).
Norwegian vs Burmese Disability
Disability MetricNorwegianBurmese
Disability
Tragic
12.2%
Exceptional
10.4%
Males
Tragic
12.2%
Exceptional
10.0%
Females
Fair
12.3%
Exceptional
10.7%
Age | Under 5 years
Tragic
1.7%
Exceptional
1.1%
Age | 5 to 17 years
Fair
5.7%
Exceptional
4.8%
Age | 18 to 34 years
Tragic
7.6%
Exceptional
6.0%
Age | 35 to 64 years
Fair
11.5%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
22.5%
Exceptional
20.6%
Age | Over 75 years
Exceptional
45.5%
Exceptional
45.9%
Vision
Exceptional
2.0%
Exceptional
1.8%
Hearing
Tragic
3.7%
Exceptional
2.8%
Cognitive
Exceptional
16.5%
Exceptional
16.7%
Ambulatory
Exceptional
5.9%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%