Bangladeshi vs Danish Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDelawareDominicanDutchDutch 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
Danish
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

Danes

Fair
Excellent
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK

Danish Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 137,236,938 people shows a weak positive correlation between the proportion of Danes within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.258. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.007% in Danes. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 7.5 Danes.
Bangladeshi Integration in Danish Communities

Bangladeshi vs Danish Income

When considering income, the most significant differences between Bangladeshi and Danish communities in the United States are seen in wage/income gap (22.2% compared to 31.0%, a difference of 39.7%), per capita income ($35,897 compared to $44,095, a difference of 22.8%), and householder income ages 45 - 64 years ($86,402 compared to $105,619, a difference of 22.2%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $37,730, a difference of 4.9%), householder income under 25 years ($47,589 compared to $53,041, a difference of 11.5%), and median earnings ($41,263 compared to $46,392, a difference of 12.4%).
Bangladeshi vs Danish Income
Income MetricBangladeshiDanish
Per Capita Income
Tragic
$35,897
Good
$44,095
Median Family Income
Tragic
$88,358
Excellent
$105,900
Median Household Income
Tragic
$74,112
Excellent
$87,676
Median Earnings
Tragic
$41,263
Average
$46,392
Median Male Earnings
Tragic
$46,744
Excellent
$56,246
Median Female Earnings
Tragic
$35,960
Tragic
$37,730
Householder Age | Under 25 years
Tragic
$47,589
Excellent
$53,041
Householder Age | 25 - 44 years
Tragic
$81,363
Excellent
$97,221
Householder Age | 45 - 64 years
Tragic
$86,402
Exceptional
$105,619
Householder Age | Over 65 years
Tragic
$54,719
Exceptional
$63,117
Wage/Income Gap
Exceptional
22.2%
Tragic
31.0%

Bangladeshi vs Danish Poverty

When considering poverty, the most significant differences between Bangladeshi and Danish communities in the United States are seen in receiving food stamps (15.0% compared to 9.0%, a difference of 66.5%), family poverty (10.9% compared to 7.3%, a difference of 49.2%), and child poverty under the age of 16 (19.9% compared to 13.4%, a difference of 48.5%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.8%, a difference of 3.9%), single male poverty (13.3% compared to 12.8%, a difference of 4.4%), and single mother poverty (31.7% compared to 28.5%, a difference of 11.3%).
Bangladeshi vs Danish Poverty
Poverty MetricBangladeshiDanish
Poverty
Tragic
14.8%
Exceptional
10.7%
Families
Tragic
10.9%
Exceptional
7.3%
Males
Tragic
13.6%
Exceptional
9.7%
Females
Tragic
16.0%
Exceptional
11.7%
Females 18 to 24 years
Tragic
22.5%
Good
19.8%
Females 25 to 34 years
Tragic
15.9%
Exceptional
12.8%
Children Under 5 years
Tragic
20.6%
Exceptional
14.9%
Children Under 16 years
Tragic
19.9%
Exceptional
13.4%
Boys Under 16 years
Tragic
20.0%
Exceptional
13.6%
Girls Under 16 years
Tragic
20.0%
Exceptional
13.7%
Single Males
Tragic
13.3%
Average
12.8%
Single Females
Tragic
24.2%
Good
20.7%
Single Fathers
Exceptional
15.2%
Exceptional
15.8%
Single Mothers
Tragic
31.7%
Excellent
28.5%
Married Couples
Tragic
6.0%
Exceptional
4.1%
Seniors Over 65 years
Fair
11.2%
Exceptional
8.8%
Seniors Over 75 years
Good
12.0%
Exceptional
10.2%
Receiving Food Stamps
Tragic
15.0%
Exceptional
9.0%

Bangladeshi vs Danish Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Danish communities in the United States are seen in male unemployment (5.7% compared to 4.5%, a difference of 26.1%), unemployment (5.4% compared to 4.3%, a difference of 24.7%), and female unemployment (5.2% compared to 4.4%, a difference of 18.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.6% compared to 9.7%, a difference of 0.79%), unemployment among ages 65 to 74 years (5.3% compared to 5.2%, a difference of 2.7%), and unemployment among ages 60 to 64 years (4.6% compared to 4.4%, a difference of 4.9%).
Bangladeshi vs Danish Unemployment
Unemployment MetricBangladeshiDanish
Unemployment
Poor
5.4%
Exceptional
4.3%
Males
Tragic
5.7%
Exceptional
4.5%
Females
Good
5.2%
Exceptional
4.4%
Youth < 25
Average
11.6%
Exceptional
10.3%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
15.2%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.3%
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
4.1%
Age | 45 to 54 years
Average
4.5%
Exceptional
3.9%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.3%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.4%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.2%
Seniors > 65
Fair
5.2%
Exceptional
4.9%
Seniors > 75
Tragic
9.6%
Tragic
9.7%
Women w/ Children < 6
Good
7.5%
Exceptional
7.1%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.1%
Women w/ Children < 18
Good
5.3%
Exceptional
4.5%

Bangladeshi vs Danish Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Danish communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 44.7%, a difference of 5.3%), in labor force | age 45-54 (81.3% compared to 83.3%, a difference of 2.4%), and in labor force | age 20-24 (78.1% compared to 79.0%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 84.3%, a difference of 0.11%), in labor force | age 35-44 (84.1% compared to 84.3%, a difference of 0.22%), and in labor force | age 25-29 (85.1% compared to 84.8%, a difference of 0.33%).
Bangladeshi vs Danish Labor Participation
Labor Participation MetricBangladeshiDanish
In Labor Force | Age > 16
Exceptional
65.9%
Good
65.3%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
79.9%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
44.7%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
79.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Good
84.8%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
84.3%
In Labor Force | Age 35-44
Poor
84.1%
Fair
84.3%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
83.3%

Bangladeshi vs Danish Family Structure

When considering family structure, the most significant differences between Bangladeshi and Danish communities in the United States are seen in single mother households (8.1% compared to 5.5%, a difference of 47.2%), single father households (3.1% compared to 2.3%, a difference of 31.2%), and births to unmarried women (34.4% compared to 28.7%, a difference of 19.9%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 66.0%, a difference of 2.8%), divorced or separated (12.3% compared to 11.9%, a difference of 3.4%), and family households with children (30.1% compared to 28.7%, a difference of 4.7%).
Bangladeshi vs Danish Family Structure
Family Structure MetricBangladeshiDanish
Family Households
Average
64.3%
Exceptional
66.0%
Family Households with Children
Exceptional
30.1%
Exceptional
28.7%
Married-couple Households
Tragic
43.5%
Exceptional
51.1%
Average Family Size
Exceptional
3.37
Tragic
3.17
Single Father Households
Tragic
3.1%
Average
2.3%
Single Mother Households
Tragic
8.1%
Exceptional
5.5%
Currently Married
Tragic
43.7%
Exceptional
50.5%
Divorced or Separated
Poor
12.3%
Excellent
11.9%
Births to Unmarried Women
Tragic
34.4%
Exceptional
28.7%

Bangladeshi vs Danish Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Danish communities in the United States are seen in no vehicles in household (8.7% compared to 6.6%, a difference of 31.5%), 4 or more vehicles in household (7.6% compared to 8.6%, a difference of 13.5%), and 3 or more vehicles in household (21.9% compared to 24.7%, a difference of 13.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 93.5%, a difference of 2.4%), 2 or more vehicles in household (58.4% compared to 63.3%, a difference of 8.3%), and 3 or more vehicles in household (21.9% compared to 24.7%, a difference of 13.1%).
Bangladeshi vs Danish Vehicle Availability
Vehicle Availability MetricBangladeshiDanish
No Vehicles Available
Exceptional
8.7%
Exceptional
6.6%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
93.5%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
63.3%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
24.7%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
8.6%

Bangladeshi vs Danish Education Level

When considering education level, the most significant differences between Bangladeshi and Danish communities in the United States are seen in no schooling completed (3.5% compared to 1.5%, a difference of 141.9%), doctorate degree (1.2% compared to 1.9%, a difference of 57.1%), and professional degree (3.1% compared to 4.4%, a difference of 41.3%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.6%, a difference of 2.1%), kindergarten (96.6% compared to 98.6%, a difference of 2.1%), and 1st grade (96.5% compared to 98.6%, a difference of 2.1%).
Bangladeshi vs Danish Education Level
Education Level MetricBangladeshiDanish
No Schooling Completed
Tragic
3.5%
Exceptional
1.5%
Nursery School
Tragic
96.6%
Exceptional
98.6%
Kindergarten
Tragic
96.6%
Exceptional
98.6%
1st Grade
Tragic
96.5%
Exceptional
98.6%
2nd Grade
Tragic
96.5%
Exceptional
98.5%
3rd Grade
Tragic
96.3%
Exceptional
98.5%
4th Grade
Tragic
96.1%
Exceptional
98.3%
5th Grade
Tragic
95.9%
Exceptional
98.2%
6th Grade
Tragic
95.7%
Exceptional
98.0%
7th Grade
Tragic
94.5%
Exceptional
97.4%
8th Grade
Tragic
94.3%
Exceptional
97.2%
9th Grade
Tragic
93.4%
Exceptional
96.5%
10th Grade
Tragic
92.2%
Exceptional
95.7%
11th Grade
Tragic
90.9%
Exceptional
94.7%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
93.5%
High School Diploma
Tragic
86.9%
Exceptional
91.8%
GED/Equivalency
Tragic
83.1%
Exceptional
88.4%
College, Under 1 year
Tragic
61.4%
Exceptional
68.5%
College, 1 year or more
Tragic
54.5%
Exceptional
61.7%
Associate's Degree
Tragic
40.0%
Good
47.4%
Bachelor's Degree
Tragic
30.2%
Average
38.1%
Master's Degree
Tragic
10.5%
Fair
14.5%
Professional Degree
Tragic
3.1%
Average
4.4%
Doctorate Degree
Tragic
1.2%
Good
1.9%

Bangladeshi vs Danish Disability

When considering disability, the most significant differences between Bangladeshi and Danish communities in the United States are seen in self-care disability (2.8% compared to 2.3%, a difference of 24.8%), disability age 35 to 64 (13.6% compared to 11.4%, a difference of 19.6%), and disability age 65 to 74 (26.8% compared to 22.8%, a difference of 17.9%). Conversely, both communities are more comparable in terms of male disability (12.0% compared to 11.9%, a difference of 0.78%), disability age 18 to 34 (7.4% compared to 7.5%, a difference of 1.8%), and disability age 5 to 17 (5.8% compared to 5.7%, a difference of 2.4%).
Bangladeshi vs Danish Disability
Disability MetricBangladeshiDanish
Disability
Tragic
12.6%
Tragic
12.0%
Males
Tragic
12.0%
Tragic
11.9%
Females
Tragic
13.1%
Good
12.1%
Age | Under 5 years
Poor
1.3%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Fair
5.7%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.5%
Age | 35 to 64 years
Tragic
13.6%
Fair
11.4%
Age | 65 to 74 years
Tragic
26.8%
Excellent
22.8%
Age | Over 75 years
Tragic
49.4%
Exceptional
46.2%
Vision
Tragic
2.3%
Exceptional
2.1%
Hearing
Tragic
3.2%
Tragic
3.6%
Cognitive
Tragic
18.6%
Exceptional
16.7%
Ambulatory
Poor
6.3%
Exceptional
5.8%
Self-Care
Tragic
2.8%
Exceptional
2.3%