Bangladeshi vs Norwegian Community Comparison

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Bangladeshi
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/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape 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

Bangladeshis

Norwegians

Fair
Excellent
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
8,521
SOCIAL INDEX
82.7/ 100
SOCIAL RATING
68th/ 347
SOCIAL RANK

Norwegian Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 140,514,890 people shows a slight positive correlation between the proportion of Norwegians within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.068. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.029% in Norwegians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 29.1 Norwegians.
Bangladeshi Integration in Norwegian Communities

Bangladeshi vs Norwegian Income

When considering income, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in wage/income gap (22.2% compared to 29.0%, a difference of 30.6%), per capita income ($35,897 compared to $44,480, a difference of 23.9%), and median family income ($88,358 compared to $106,144, a difference of 20.1%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $38,802, a difference of 7.9%), householder income under 25 years ($47,589 compared to $53,127, a difference of 11.6%), and householder income over 65 years ($54,719 compared to $61,104, a difference of 11.7%).
Bangladeshi vs Norwegian Income
Income MetricBangladeshiNorwegian
Per Capita Income
Tragic
$35,897
Good
$44,480
Median Family Income
Tragic
$88,358
Excellent
$106,144
Median Household Income
Tragic
$74,112
Good
$86,084
Median Earnings
Tragic
$41,263
Good
$46,865
Median Male Earnings
Tragic
$46,744
Excellent
$55,965
Median Female Earnings
Tragic
$35,960
Poor
$38,802
Householder Age | Under 25 years
Tragic
$47,589
Exceptional
$53,127
Householder Age | 25 - 44 years
Tragic
$81,363
Good
$96,866
Householder Age | 45 - 64 years
Tragic
$86,402
Excellent
$103,682
Householder Age | Over 65 years
Tragic
$54,719
Average
$61,104
Wage/Income Gap
Exceptional
22.2%
Tragic
29.0%

Bangladeshi vs Norwegian Poverty

When considering poverty, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in receiving food stamps (15.0% compared to 9.0%, a difference of 67.9%), married-couple family poverty (6.0% compared to 3.7%, a difference of 61.7%), and family poverty (10.9% compared to 6.9%, a difference of 58.1%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 12.9%, a difference of 3.3%), single father poverty (15.2% compared to 15.9%, a difference of 4.7%), and female poverty among 18-24 year olds (22.5% compared to 20.7%, a difference of 8.4%).
Bangladeshi vs Norwegian Poverty
Poverty MetricBangladeshiNorwegian
Poverty
Tragic
14.8%
Exceptional
10.5%
Families
Tragic
10.9%
Exceptional
6.9%
Males
Tragic
13.6%
Exceptional
9.5%
Females
Tragic
16.0%
Exceptional
11.5%
Females 18 to 24 years
Tragic
22.5%
Tragic
20.7%
Females 25 to 34 years
Tragic
15.9%
Exceptional
12.6%
Children Under 5 years
Tragic
20.6%
Exceptional
14.6%
Children Under 16 years
Tragic
19.9%
Exceptional
13.0%
Boys Under 16 years
Tragic
20.0%
Exceptional
13.2%
Girls Under 16 years
Tragic
20.0%
Exceptional
13.3%
Single Males
Tragic
13.3%
Fair
12.9%
Single Females
Tragic
24.2%
Good
20.8%
Single Fathers
Exceptional
15.2%
Exceptional
15.9%
Single Mothers
Tragic
31.7%
Exceptional
28.4%
Married Couples
Tragic
6.0%
Exceptional
3.7%
Seniors Over 65 years
Fair
11.2%
Exceptional
8.7%
Seniors Over 75 years
Good
12.0%
Exceptional
10.2%
Receiving Food Stamps
Tragic
15.0%
Exceptional
9.0%

Bangladeshi vs Norwegian Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in unemployment (5.4% compared to 4.2%, a difference of 29.3%), male unemployment (5.7% compared to 4.4%, a difference of 27.9%), and female unemployment (5.2% compared to 4.2%, a difference of 25.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.6% compared to 9.8%, a difference of 1.9%), unemployment among women with children under 6 years (7.5% compared to 7.2%, a difference of 4.0%), and unemployment among ages 60 to 64 years (4.6% compared to 4.3%, a difference of 5.7%).
Bangladeshi vs Norwegian Unemployment
Unemployment MetricBangladeshiNorwegian
Unemployment
Poor
5.4%
Exceptional
4.2%
Males
Tragic
5.7%
Exceptional
4.4%
Females
Good
5.2%
Exceptional
4.2%
Youth < 25
Average
11.6%
Exceptional
9.8%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
14.5%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.0%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.0%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.0%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.0%
Age | 45 to 54 years
Average
4.5%
Exceptional
3.9%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.2%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.3%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.0%
Seniors > 65
Fair
5.2%
Exceptional
4.7%
Seniors > 75
Tragic
9.6%
Tragic
9.8%
Women w/ Children < 6
Good
7.5%
Exceptional
7.2%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.3%
Women w/ Children < 18
Good
5.3%
Exceptional
4.4%

Bangladeshi vs Norwegian Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 46.2%, a difference of 8.8%), in labor force | age 45-54 (81.3% compared to 84.4%, a difference of 3.8%), and in labor force | age 20-24 (78.1% compared to 80.1%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.9% compared to 65.7%, a difference of 0.41%), in labor force | age 25-29 (85.1% compared to 86.1%, a difference of 1.2%), and in labor force | age 30-34 (84.3% compared to 85.7%, a difference of 1.7%).
Bangladeshi vs Norwegian Labor Participation
Labor Participation MetricBangladeshiNorwegian
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
65.7%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
46.2%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
80.1%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
86.1%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.7%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
85.6%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
84.4%

Bangladeshi vs Norwegian Family Structure

When considering family structure, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in single mother households (8.1% compared to 5.5%, a difference of 48.9%), single father households (3.1% compared to 2.4%, a difference of 27.7%), and births to unmarried women (34.4% compared to 29.3%, a difference of 17.3%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 63.9%, a difference of 0.56%), divorced or separated (12.3% compared to 12.1%, a difference of 1.2%), and average family size (3.37 compared to 3.08, a difference of 9.3%).
Bangladeshi vs Norwegian Family Structure
Family Structure MetricBangladeshiNorwegian
Family Households
Average
64.3%
Poor
63.9%
Family Households with Children
Exceptional
30.1%
Fair
27.4%
Married-couple Households
Tragic
43.5%
Exceptional
49.5%
Average Family Size
Exceptional
3.37
Tragic
3.08
Single Father Households
Tragic
3.1%
Poor
2.4%
Single Mother Households
Tragic
8.1%
Exceptional
5.5%
Currently Married
Tragic
43.7%
Exceptional
50.2%
Divorced or Separated
Poor
12.3%
Fair
12.1%
Births to Unmarried Women
Tragic
34.4%
Exceptional
29.3%

Bangladeshi vs Norwegian Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in no vehicles in household (8.7% compared to 6.4%, a difference of 34.6%), 3 or more vehicles in household (21.9% compared to 23.9%, a difference of 9.2%), and 2 or more vehicles in household (58.4% compared to 62.8%, a difference of 7.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 93.7%, a difference of 2.5%), 4 or more vehicles in household (7.6% compared to 8.0%, a difference of 5.9%), and 2 or more vehicles in household (58.4% compared to 62.8%, a difference of 7.6%).
Bangladeshi vs Norwegian Vehicle Availability
Vehicle Availability MetricBangladeshiNorwegian
No Vehicles Available
Exceptional
8.7%
Exceptional
6.4%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
93.7%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
62.8%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
23.9%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
8.0%

Bangladeshi vs Norwegian Education Level

When considering education level, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in no schooling completed (3.5% compared to 1.3%, a difference of 162.7%), doctorate degree (1.2% compared to 1.8%, a difference of 51.8%), and professional degree (3.1% compared to 4.2%, a difference of 35.6%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.7%, a difference of 2.2%), kindergarten (96.6% compared to 98.7%, a difference of 2.2%), and 1st grade (96.5% compared to 98.7%, a difference of 2.2%).
Bangladeshi vs Norwegian Education Level
Education Level MetricBangladeshiNorwegian
No Schooling Completed
Tragic
3.5%
Exceptional
1.3%
Nursery School
Tragic
96.6%
Exceptional
98.7%
Kindergarten
Tragic
96.6%
Exceptional
98.7%
1st Grade
Tragic
96.5%
Exceptional
98.7%
2nd Grade
Tragic
96.5%
Exceptional
98.7%
3rd Grade
Tragic
96.3%
Exceptional
98.6%
4th Grade
Tragic
96.1%
Exceptional
98.5%
5th Grade
Tragic
95.9%
Exceptional
98.4%
6th Grade
Tragic
95.7%
Exceptional
98.3%
7th Grade
Tragic
94.5%
Exceptional
97.8%
8th Grade
Tragic
94.3%
Exceptional
97.6%
9th Grade
Tragic
93.4%
Exceptional
96.9%
10th Grade
Tragic
92.2%
Exceptional
96.2%
11th Grade
Tragic
90.9%
Exceptional
95.2%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
94.0%
High School Diploma
Tragic
86.9%
Exceptional
92.5%
GED/Equivalency
Tragic
83.1%
Exceptional
89.0%
College, Under 1 year
Tragic
61.4%
Exceptional
68.4%
College, 1 year or more
Tragic
54.5%
Exceptional
61.7%
Associate's Degree
Tragic
40.0%
Excellent
47.6%
Bachelor's Degree
Tragic
30.2%
Average
37.5%
Master's Degree
Tragic
10.5%
Poor
14.0%
Professional Degree
Tragic
3.1%
Fair
4.2%
Doctorate Degree
Tragic
1.2%
Average
1.8%

Bangladeshi vs Norwegian Disability

When considering disability, the most significant differences between Bangladeshi and Norwegian communities in the United States are seen in disability age under 5 (1.3% compared to 1.7%, a difference of 30.2%), self-care disability (2.8% compared to 2.3%, a difference of 23.4%), and disability age 65 to 74 (26.8% compared to 22.5%, a difference of 19.4%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 12.2%, a difference of 1.2%), disability age 5 to 17 (5.8% compared to 5.7%, a difference of 2.0%), and disability (12.6% compared to 12.2%, a difference of 2.9%).
Bangladeshi vs Norwegian Disability
Disability MetricBangladeshiNorwegian
Disability
Tragic
12.6%
Tragic
12.2%
Males
Tragic
12.0%
Tragic
12.2%
Females
Tragic
13.1%
Fair
12.3%
Age | Under 5 years
Poor
1.3%
Tragic
1.7%
Age | 5 to 17 years
Tragic
5.8%
Fair
5.7%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.6%
Age | 35 to 64 years
Tragic
13.6%
Fair
11.5%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
22.5%
Age | Over 75 years
Tragic
49.4%
Exceptional
45.5%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Tragic
18.6%
Exceptional
16.5%
Ambulatory
Poor
6.3%
Exceptional
5.9%
Self-Care
Tragic
2.8%
Exceptional
2.3%