Norwegian vs Bangladeshi Community Comparison

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

Social Comparison

Norwegians

Bangladeshis

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

Bangladeshi Integration in Norwegian Communities

The statistical analysis conducted on geographies consisting of 140,514,890 people shows a poor negative correlation between the proportion of Bangladeshis within Norwegian communities in the United States with a correlation coefficient (R) of -0.163. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is a decrease of 0.015% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Norwegians corresponds to a decrease of 14.6 Bangladeshis.
Norwegian Integration in Bangladeshi Communities

Norwegian vs Bangladeshi Income

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

Norwegian vs Bangladeshi Poverty

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

Norwegian vs Bangladeshi Unemployment

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

Norwegian vs Bangladeshi Labor Participation

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

Norwegian vs Bangladeshi Family Structure

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

Norwegian vs Bangladeshi Vehicle Availability

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

Norwegian vs Bangladeshi Education Level

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

Norwegian vs Bangladeshi Disability

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