Immigrants from Bangladesh vs Dutch Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutch 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
Dutch
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 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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Bangladesh

Dutch

Poor
Good
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
6,444
SOCIAL INDEX
61.9/ 100
SOCIAL RATING
155th/ 347
SOCIAL RANK

Dutch Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 201,367,302 people shows no correlation between the proportion of Dutch within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.005. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.001% in Dutch. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 1.0 Dutch.
Immigrants from Bangladesh Integration in Dutch Communities

Immigrants from Bangladesh vs Dutch Income

When considering income, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in wage/income gap (20.9% compared to 29.6%, a difference of 41.5%), householder income ages 45 - 64 years ($92,208 compared to $99,650, a difference of 8.1%), and householder income over 65 years ($55,394 compared to $59,539, a difference of 7.5%). Conversely, both communities are more comparable in terms of median earnings ($45,532 compared to $45,370, a difference of 0.36%), per capita income ($41,709 compared to $42,605, a difference of 2.1%), and median household income ($80,722 compared to $82,971, a difference of 2.8%).
Immigrants from Bangladesh vs Dutch Income
Income MetricImmigrants from BangladeshDutch
Per Capita Income
Poor
$41,709
Fair
$42,605
Median Family Income
Tragic
$94,665
Fair
$101,192
Median Household Income
Tragic
$80,722
Fair
$82,971
Median Earnings
Fair
$45,532
Poor
$45,370
Median Male Earnings
Tragic
$51,642
Average
$54,410
Median Female Earnings
Good
$39,910
Tragic
$37,339
Householder Age | Under 25 years
Exceptional
$54,714
Tragic
$51,265
Householder Age | 25 - 44 years
Tragic
$90,448
Fair
$93,081
Householder Age | 45 - 64 years
Tragic
$92,208
Average
$99,650
Householder Age | Over 65 years
Tragic
$55,394
Poor
$59,539
Wage/Income Gap
Exceptional
20.9%
Tragic
29.6%

Immigrants from Bangladesh vs Dutch Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in married-couple family poverty (7.5% compared to 4.2%, a difference of 78.3%), receiving food stamps (15.9% compared to 10.0%, a difference of 59.0%), and seniors poverty over the age of 65 (14.1% compared to 9.1%, a difference of 54.0%). Conversely, both communities are more comparable in terms of single female poverty (22.3% compared to 22.0%, a difference of 1.4%), single mother poverty (31.1% compared to 30.2%, a difference of 2.9%), and female poverty among 18-24 year olds (21.8% compared to 20.5%, a difference of 6.2%).
Immigrants from Bangladesh vs Dutch Poverty
Poverty MetricImmigrants from BangladeshDutch
Poverty
Tragic
15.3%
Exceptional
11.3%
Families
Tragic
11.7%
Exceptional
7.8%
Males
Tragic
14.1%
Exceptional
10.2%
Females
Tragic
16.4%
Exceptional
12.4%
Females 18 to 24 years
Tragic
21.8%
Poor
20.5%
Females 25 to 34 years
Tragic
14.8%
Fair
13.8%
Children Under 5 years
Tragic
20.1%
Good
16.7%
Children Under 16 years
Tragic
19.8%
Exceptional
14.8%
Boys Under 16 years
Tragic
19.9%
Exceptional
15.0%
Girls Under 16 years
Tragic
19.9%
Exceptional
15.1%
Single Males
Fair
13.0%
Tragic
14.1%
Single Females
Tragic
22.3%
Tragic
22.0%
Single Fathers
Average
16.3%
Tragic
17.8%
Single Mothers
Tragic
31.1%
Tragic
30.2%
Married Couples
Tragic
7.5%
Exceptional
4.2%
Seniors Over 65 years
Tragic
14.1%
Exceptional
9.1%
Seniors Over 75 years
Tragic
15.8%
Exceptional
10.5%
Receiving Food Stamps
Tragic
15.9%
Exceptional
10.0%

Immigrants from Bangladesh vs Dutch Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in unemployment (6.5% compared to 4.6%, a difference of 41.6%), female unemployment (6.5% compared to 4.6%, a difference of 40.6%), and male unemployment (6.6% compared to 4.8%, a difference of 37.4%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 9.4%, a difference of 6.3%), unemployment among women with children under 6 years (8.8% compared to 8.1%, a difference of 8.9%), and unemployment among ages 65 to 74 years (5.9% compared to 5.3%, a difference of 9.9%).
Immigrants from Bangladesh vs Dutch Unemployment
Unemployment MetricImmigrants from BangladeshDutch
Unemployment
Tragic
6.5%
Exceptional
4.6%
Males
Tragic
6.6%
Exceptional
4.8%
Females
Tragic
6.5%
Exceptional
4.6%
Youth < 25
Tragic
14.2%
Exceptional
10.6%
Age | 16 to 19 years
Tragic
21.5%
Exceptional
15.9%
Age | 20 to 24 years
Tragic
12.6%
Exceptional
9.6%
Age | 25 to 29 years
Tragic
7.5%
Excellent
6.5%
Age | 30 to 34 years
Tragic
6.4%
Average
5.5%
Age | 35 to 44 years
Tragic
5.3%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
5.4%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.9%
Exceptional
4.6%
Age | 60 to 64 years
Tragic
6.0%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
5.9%
Good
5.3%
Seniors > 65
Tragic
5.7%
Excellent
5.1%
Seniors > 75
Tragic
9.1%
Tragic
10.4%
Women w/ Children < 6
Tragic
8.8%
Tragic
8.1%
Women w/ Children 6 to 17
Good
8.8%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.4%
Exceptional
5.0%

Immigrants from Bangladesh vs Dutch Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 43.8%, a difference of 45.9%), in labor force | age 20-24 (70.6% compared to 78.4%, a difference of 11.0%), and in labor force | age 45-54 (80.7% compared to 82.8%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.2%, a difference of 0.52%), in labor force | age 30-34 (83.6% compared to 84.5%, a difference of 1.1%), and in labor force | age 35-44 (82.9% compared to 84.3%, a difference of 1.6%).
Immigrants from Bangladesh vs Dutch Labor Participation
Labor Participation MetricImmigrants from BangladeshDutch
In Labor Force | Age > 16
Tragic
64.5%
Tragic
64.2%
In Labor Force | Age 20-64
Tragic
77.9%
Fair
79.3%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
43.8%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
78.4%
In Labor Force | Age 25-29
Tragic
83.0%
Excellent
84.9%
In Labor Force | Age 30-34
Tragic
83.6%
Fair
84.5%
In Labor Force | Age 35-44
Tragic
82.9%
Fair
84.3%
In Labor Force | Age 45-54
Tragic
80.7%
Good
82.8%

Immigrants from Bangladesh vs Dutch Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in single mother households (6.9% compared to 5.8%, a difference of 18.6%), single father households (2.1% compared to 2.4%, a difference of 16.6%), and married-couple households (43.1% compared to 49.5%, a difference of 14.8%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.4%, a difference of 0.64%), family households (63.9% compared to 64.9%, a difference of 1.7%), and births to unmarried women (30.9% compared to 31.5%, a difference of 2.0%).
Immigrants from Bangladesh vs Dutch Family Structure
Family Structure MetricImmigrants from BangladeshDutch
Family Households
Poor
63.9%
Exceptional
64.9%
Family Households with Children
Good
27.6%
Fair
27.4%
Married-couple Households
Tragic
43.1%
Exceptional
49.5%
Average Family Size
Exceptional
3.36
Tragic
3.11
Single Father Households
Exceptional
2.1%
Poor
2.4%
Single Mother Households
Tragic
6.9%
Exceptional
5.8%
Currently Married
Tragic
43.6%
Exceptional
49.6%
Divorced or Separated
Exceptional
11.0%
Tragic
12.4%
Births to Unmarried Women
Good
30.9%
Average
31.5%

Immigrants from Bangladesh vs Dutch Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in no vehicles in household (25.8% compared to 6.8%, a difference of 276.3%), 4 or more vehicles in household (3.9% compared to 7.7%, a difference of 96.5%), and 3 or more vehicles in household (12.5% compared to 22.9%, a difference of 83.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 93.3%, a difference of 25.5%), 2 or more vehicles in household (38.8% compared to 61.6%, a difference of 59.0%), and 3 or more vehicles in household (12.5% compared to 22.9%, a difference of 83.2%).
Immigrants from Bangladesh vs Dutch Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshDutch
No Vehicles Available
Tragic
25.8%
Exceptional
6.8%
1+ Vehicles Available
Tragic
74.3%
Exceptional
93.3%
2+ Vehicles Available
Tragic
38.8%
Exceptional
61.6%
3+ Vehicles Available
Tragic
12.5%
Exceptional
22.9%
4+ Vehicles Available
Tragic
3.9%
Exceptional
7.7%

Immigrants from Bangladesh vs Dutch Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in no schooling completed (3.1% compared to 1.4%, a difference of 120.7%), master's degree (15.5% compared to 13.8%, a difference of 12.1%), and professional degree (4.4% compared to 4.0%, a difference of 10.2%). Conversely, both communities are more comparable in terms of associate's degree (45.2% compared to 45.0%, a difference of 0.47%), nursery school (96.9% compared to 98.7%, a difference of 1.8%), and kindergarten (96.8% compared to 98.6%, a difference of 1.9%).
Immigrants from Bangladesh vs Dutch Education Level
Education Level MetricImmigrants from BangladeshDutch
No Schooling Completed
Tragic
3.1%
Exceptional
1.4%
Nursery School
Tragic
96.9%
Exceptional
98.7%
Kindergarten
Tragic
96.8%
Exceptional
98.6%
1st Grade
Tragic
96.8%
Exceptional
98.6%
2nd Grade
Tragic
96.7%
Exceptional
98.6%
3rd Grade
Tragic
96.6%
Exceptional
98.5%
4th Grade
Tragic
96.2%
Exceptional
98.4%
5th Grade
Tragic
96.0%
Exceptional
98.3%
6th Grade
Tragic
95.4%
Exceptional
98.4%
7th Grade
Tragic
94.0%
Exceptional
97.9%
8th Grade
Tragic
93.6%
Exceptional
97.7%
9th Grade
Tragic
92.4%
Exceptional
96.5%
10th Grade
Tragic
91.0%
Exceptional
95.5%
11th Grade
Tragic
89.5%
Exceptional
94.3%
12th Grade, No Diploma
Tragic
88.0%
Exceptional
92.9%
High School Diploma
Tragic
85.5%
Exceptional
91.3%
GED/Equivalency
Tragic
81.9%
Exceptional
87.5%
College, Under 1 year
Tragic
61.3%
Average
65.3%
College, 1 year or more
Tragic
56.6%
Fair
58.6%
Associate's Degree
Fair
45.2%
Poor
45.0%
Bachelor's Degree
Average
37.8%
Tragic
35.7%
Master's Degree
Good
15.5%
Tragic
13.8%
Professional Degree
Average
4.4%
Tragic
4.0%
Doctorate Degree
Average
1.8%
Fair
1.8%

Immigrants from Bangladesh vs Dutch Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Dutch communities in the United States are seen in disability age under 5 (0.85% compared to 1.7%, a difference of 97.1%), hearing disability (2.4% compared to 3.7%, a difference of 54.2%), and disability age 18 to 34 (5.6% compared to 7.7%, a difference of 36.8%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.6% compared to 23.3%, a difference of 1.2%), disability age over 75 (48.0% compared to 46.5%, a difference of 3.3%), and vision disability (2.1% compared to 2.2%, a difference of 3.5%).
Immigrants from Bangladesh vs Dutch Disability
Disability MetricImmigrants from BangladeshDutch
Disability
Exceptional
11.0%
Tragic
12.8%
Males
Exceptional
10.3%
Tragic
12.7%
Females
Exceptional
11.8%
Tragic
12.9%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.7%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
6.0%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.7%
Age | 35 to 64 years
Excellent
10.9%
Tragic
12.3%
Age | 65 to 74 years
Fair
23.6%
Average
23.3%
Age | Over 75 years
Tragic
48.0%
Exceptional
46.5%
Vision
Good
2.1%
Poor
2.2%
Hearing
Exceptional
2.4%
Tragic
3.7%
Cognitive
Tragic
17.8%
Exceptional
16.8%
Ambulatory
Fair
6.2%
Tragic
6.4%
Self-Care
Tragic
2.6%
Good
2.4%