Burmese vs Norwegian Community Comparison

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

Social Comparison

Burmese

Norwegians

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

Norwegian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 449,451,795 people shows a weak positive correlation between the proportion of Norwegians within Burmese communities in the United States with a correlation coefficient (R) of 0.204. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.059% in Norwegians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 59.3 Norwegians.
Burmese Integration in Norwegian Communities

Burmese vs Norwegian Income

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

Burmese vs Norwegian Poverty

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

Burmese vs Norwegian Unemployment

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

Burmese vs Norwegian Labor Participation

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

Burmese vs Norwegian Family Structure

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

Burmese vs Norwegian Vehicle Availability

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

Burmese vs Norwegian Education Level

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

Burmese vs Norwegian Disability

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