Immigrants from Bangladesh vs Korean Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Korean
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

Koreans

Poor
Good
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
6,713
SOCIAL INDEX
64.6/ 100
SOCIAL RATING
147th/ 347
SOCIAL RANK

Korean Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 201,422,125 people shows no correlation between the proportion of Koreans within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.006. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.002% in Koreans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 1.8 Koreans.
Immigrants from Bangladesh Integration in Korean Communities

Immigrants from Bangladesh vs Korean Income

When considering income, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in householder income over 65 years ($55,394 compared to $67,472, a difference of 21.8%), wage/income gap (20.9% compared to 25.4%, a difference of 21.5%), and householder income ages 45 - 64 years ($92,208 compared to $110,334, a difference of 19.7%). Conversely, both communities are more comparable in terms of median female earnings ($39,910 compared to $41,276, a difference of 3.4%), householder income under 25 years ($54,714 compared to $57,730, a difference of 5.5%), and per capita income ($41,709 compared to $44,522, a difference of 6.7%).
Immigrants from Bangladesh vs Korean Income
Income MetricImmigrants from BangladeshKorean
Per Capita Income
Poor
$41,709
Good
$44,522
Median Family Income
Tragic
$94,665
Exceptional
$110,103
Median Household Income
Tragic
$80,722
Exceptional
$95,018
Median Earnings
Fair
$45,532
Exceptional
$48,727
Median Male Earnings
Tragic
$51,642
Excellent
$56,672
Median Female Earnings
Good
$39,910
Exceptional
$41,276
Householder Age | Under 25 years
Exceptional
$54,714
Exceptional
$57,730
Householder Age | 25 - 44 years
Tragic
$90,448
Exceptional
$103,824
Householder Age | 45 - 64 years
Tragic
$92,208
Exceptional
$110,334
Householder Age | Over 65 years
Tragic
$55,394
Exceptional
$67,472
Wage/Income Gap
Exceptional
20.9%
Good
25.4%

Immigrants from Bangladesh vs Korean Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in married-couple family poverty (7.5% compared to 4.6%, a difference of 62.7%), receiving food stamps (15.9% compared to 10.4%, a difference of 52.9%), and family poverty (11.7% compared to 7.8%, a difference of 49.5%). Conversely, both communities are more comparable in terms of single father poverty (16.3% compared to 14.0%, a difference of 16.4%), single mother poverty (31.1% compared to 26.4%, a difference of 17.9%), and single male poverty (13.0% compared to 11.0%, a difference of 18.6%).
Immigrants from Bangladesh vs Korean Poverty
Poverty MetricImmigrants from BangladeshKorean
Poverty
Tragic
15.3%
Exceptional
10.9%
Families
Tragic
11.7%
Exceptional
7.8%
Males
Tragic
14.1%
Exceptional
9.9%
Females
Tragic
16.4%
Exceptional
11.9%
Females 18 to 24 years
Tragic
21.8%
Exceptional
16.9%
Females 25 to 34 years
Tragic
14.8%
Exceptional
12.0%
Children Under 5 years
Tragic
20.1%
Exceptional
14.4%
Children Under 16 years
Tragic
19.8%
Exceptional
13.9%
Boys Under 16 years
Tragic
19.9%
Exceptional
14.0%
Girls Under 16 years
Tragic
19.9%
Exceptional
14.1%
Single Males
Fair
13.0%
Exceptional
11.0%
Single Females
Tragic
22.3%
Exceptional
18.6%
Single Fathers
Average
16.3%
Exceptional
14.0%
Single Mothers
Tragic
31.1%
Exceptional
26.4%
Married Couples
Tragic
7.5%
Exceptional
4.6%
Seniors Over 65 years
Tragic
14.1%
Exceptional
10.1%
Seniors Over 75 years
Tragic
15.8%
Exceptional
11.5%
Receiving Food Stamps
Tragic
15.9%
Exceptional
10.4%

Immigrants from Bangladesh vs Korean Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in male unemployment (6.6% compared to 5.3%, a difference of 22.9%), unemployment among ages 16 to 19 years (21.5% compared to 17.5%, a difference of 22.9%), and unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 22.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.1% compared to 8.9%, a difference of 2.0%), unemployment among women with children ages 6 to 17 years (8.8% compared to 8.2%, a difference of 7.7%), and unemployment among seniors over 65 years (5.7% compared to 5.2%, a difference of 10.4%).
Immigrants from Bangladesh vs Korean Unemployment
Unemployment MetricImmigrants from BangladeshKorean
Unemployment
Tragic
6.5%
Fair
5.3%
Males
Tragic
6.6%
Fair
5.3%
Females
Tragic
6.5%
Poor
5.4%
Youth < 25
Tragic
14.2%
Fair
11.7%
Age | 16 to 19 years
Tragic
21.5%
Good
17.5%
Age | 20 to 24 years
Tragic
12.6%
Average
10.3%
Age | 25 to 29 years
Tragic
7.5%
Fair
6.7%
Age | 30 to 34 years
Tragic
6.4%
Fair
5.6%
Age | 35 to 44 years
Tragic
5.3%
Fair
4.8%
Age | 45 to 54 years
Tragic
5.4%
Good
4.5%
Age | 55 to 59 years
Tragic
5.9%
Good
4.8%
Age | 60 to 64 years
Tragic
6.0%
Poor
4.9%
Age | 65 to 74 years
Tragic
5.9%
Excellent
5.3%
Seniors > 65
Tragic
5.7%
Fair
5.2%
Seniors > 75
Tragic
9.1%
Fair
8.9%
Women w/ Children < 6
Tragic
8.8%
Excellent
7.5%
Women w/ Children 6 to 17
Good
8.8%
Exceptional
8.2%
Women w/ Children < 18
Tragic
6.4%
Good
5.4%

Immigrants from Bangladesh vs Korean Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 35.7%, a difference of 18.8%), in labor force | age 20-24 (70.6% compared to 75.4%, a difference of 6.8%), and in labor force | age 45-54 (80.7% compared to 82.9%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.6% compared to 84.5%, a difference of 1.1%), in labor force | age 25-29 (83.0% compared to 84.2%, a difference of 1.5%), and in labor force | age 35-44 (82.9% compared to 84.3%, a difference of 1.6%).
Immigrants from Bangladesh vs Korean Labor Participation
Labor Participation MetricImmigrants from BangladeshKorean
In Labor Force | Age > 16
Tragic
64.5%
Exceptional
65.7%
In Labor Force | Age 20-64
Tragic
77.9%
Good
79.8%
In Labor Force | Age 16-19
Tragic
30.0%
Poor
35.7%
In Labor Force | Age 20-24
Tragic
70.6%
Good
75.4%
In Labor Force | Age 25-29
Tragic
83.0%
Tragic
84.2%
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
82.9%

Immigrants from Bangladesh vs Korean Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in married-couple households (43.1% compared to 49.7%, a difference of 15.4%), single father households (2.1% compared to 2.4%, a difference of 15.3%), and single mother households (6.9% compared to 6.0%, a difference of 14.2%). Conversely, both communities are more comparable in terms of average family size (3.36 compared to 3.36, a difference of 0.16%), births to unmarried women (30.9% compared to 30.1%, a difference of 2.6%), and divorced or separated (11.0% compared to 11.3%, a difference of 3.5%).
Immigrants from Bangladesh vs Korean Family Structure
Family Structure MetricImmigrants from BangladeshKorean
Family Households
Poor
63.9%
Exceptional
68.3%
Family Households with Children
Good
27.6%
Exceptional
29.2%
Married-couple Households
Tragic
43.1%
Exceptional
49.7%
Average Family Size
Exceptional
3.36
Exceptional
3.36
Single Father Households
Exceptional
2.1%
Fair
2.4%
Single Mother Households
Tragic
6.9%
Excellent
6.0%
Currently Married
Tragic
43.6%
Exceptional
47.9%
Divorced or Separated
Exceptional
11.0%
Exceptional
11.3%
Births to Unmarried Women
Good
30.9%
Excellent
30.1%

Immigrants from Bangladesh vs Korean Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in no vehicles in household (25.8% compared to 8.0%, a difference of 222.1%), 4 or more vehicles in household (3.9% compared to 8.6%, a difference of 121.8%), and 3 or more vehicles in household (12.5% compared to 24.1%, a difference of 92.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 92.1%, a difference of 23.9%), 2 or more vehicles in household (38.8% compared to 61.0%, a difference of 57.3%), and 3 or more vehicles in household (12.5% compared to 24.1%, a difference of 92.2%).
Immigrants from Bangladesh vs Korean Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshKorean
No Vehicles Available
Tragic
25.8%
Exceptional
8.0%
1+ Vehicles Available
Tragic
74.3%
Exceptional
92.1%
2+ Vehicles Available
Tragic
38.8%
Exceptional
61.0%
3+ Vehicles Available
Tragic
12.5%
Exceptional
24.1%
4+ Vehicles Available
Tragic
3.9%
Exceptional
8.6%

Immigrants from Bangladesh vs Korean Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in no schooling completed (3.1% compared to 2.4%, a difference of 32.3%), master's degree (15.5% compared to 14.0%, a difference of 10.5%), and professional degree (4.4% compared to 4.1%, a difference of 9.3%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 97.7%, a difference of 0.82%), kindergarten (96.8% compared to 97.6%, a difference of 0.83%), and 1st grade (96.8% compared to 97.6%, a difference of 0.84%).
Immigrants from Bangladesh vs Korean Education Level
Education Level MetricImmigrants from BangladeshKorean
No Schooling Completed
Tragic
3.1%
Tragic
2.4%
Nursery School
Tragic
96.9%
Tragic
97.7%
Kindergarten
Tragic
96.8%
Tragic
97.6%
1st Grade
Tragic
96.8%
Tragic
97.6%
2nd Grade
Tragic
96.7%
Tragic
97.5%
3rd Grade
Tragic
96.6%
Tragic
97.4%
4th Grade
Tragic
96.2%
Tragic
97.1%
5th Grade
Tragic
96.0%
Tragic
96.9%
6th Grade
Tragic
95.4%
Tragic
96.6%
7th Grade
Tragic
94.0%
Tragic
95.3%
8th Grade
Tragic
93.6%
Tragic
95.0%
9th Grade
Tragic
92.4%
Tragic
94.3%
10th Grade
Tragic
91.0%
Tragic
93.2%
11th Grade
Tragic
89.5%
Poor
92.1%
12th Grade, No Diploma
Tragic
88.0%
Fair
90.8%
High School Diploma
Tragic
85.5%
Poor
88.6%
GED/Equivalency
Tragic
81.9%
Average
85.6%
College, Under 1 year
Tragic
61.3%
Good
65.9%
College, 1 year or more
Tragic
56.6%
Average
59.7%
Associate's Degree
Fair
45.2%
Fair
45.8%
Bachelor's Degree
Average
37.8%
Fair
37.0%
Master's Degree
Good
15.5%
Poor
14.0%
Professional Degree
Average
4.4%
Poor
4.1%
Doctorate Degree
Average
1.8%
Poor
1.7%

Immigrants from Bangladesh vs Korean Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Korean communities in the United States are seen in disability age under 5 (0.85% compared to 1.2%, a difference of 38.9%), hearing disability (2.4% compared to 3.1%, a difference of 26.3%), and disability age 18 to 34 (5.6% compared to 6.3%, a difference of 11.5%). Conversely, both communities are more comparable in terms of female disability (11.8% compared to 11.7%, a difference of 0.77%), disability age over 75 (48.0% compared to 48.6%, a difference of 1.2%), and disability age 65 to 74 (23.6% compared to 23.1%, a difference of 2.1%).
Immigrants from Bangladesh vs Korean Disability
Disability MetricImmigrants from BangladeshKorean
Disability
Exceptional
11.0%
Exceptional
11.3%
Males
Exceptional
10.3%
Good
11.0%
Females
Exceptional
11.8%
Exceptional
11.7%
Age | Under 5 years
Exceptional
0.85%
Excellent
1.2%
Age | 5 to 17 years
Exceptional
5.2%
Exceptional
5.1%
Age | 18 to 34 years
Exceptional
5.6%
Exceptional
6.3%
Age | 35 to 64 years
Excellent
10.9%
Exceptional
10.5%
Age | 65 to 74 years
Fair
23.6%
Good
23.1%
Age | Over 75 years
Tragic
48.0%
Tragic
48.6%
Vision
Good
2.1%
Exceptional
2.1%
Hearing
Exceptional
2.4%
Fair
3.1%
Cognitive
Tragic
17.8%
Exceptional
16.8%
Ambulatory
Fair
6.2%
Exceptional
5.9%
Self-Care
Tragic
2.6%
Poor
2.5%