Immigrants from Bangladesh vs Marshallese Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin 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 EuropeZaireZimbabweAzores
Marshallese
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

Marshallese

Poor
Fair
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
2,873
SOCIAL INDEX
26.3/ 100
SOCIAL RATING
240th/ 347
SOCIAL RANK

Marshallese Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 8,918,598 people shows a near-perfect negative correlation between the proportion of Marshallese within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.909. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.177% in Marshallese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 177.0 Marshallese.
Immigrants from Bangladesh Integration in Marshallese Communities

Immigrants from Bangladesh vs Marshallese Income

When considering income, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in householder income over 65 years ($55,394 compared to $65,874, a difference of 18.9%), wage/income gap (20.9% compared to 23.4%, a difference of 11.9%), and median female earnings ($39,910 compared to $36,459, a difference of 9.5%). Conversely, both communities are more comparable in terms of median family income ($94,665 compared to $95,293, a difference of 0.66%), householder income ages 45 - 64 years ($92,208 compared to $90,455, a difference of 1.9%), and median household income ($80,722 compared to $78,930, a difference of 2.3%).
Immigrants from Bangladesh vs Marshallese Income
Income MetricImmigrants from BangladeshMarshallese
Per Capita Income
Poor
$41,709
Tragic
$39,108
Median Family Income
Tragic
$94,665
Tragic
$95,293
Median Household Income
Tragic
$80,722
Tragic
$78,930
Median Earnings
Fair
$45,532
Tragic
$41,969
Median Male Earnings
Tragic
$51,642
Tragic
$48,137
Median Female Earnings
Good
$39,910
Tragic
$36,459
Householder Age | Under 25 years
Exceptional
$54,714
Tragic
$50,627
Householder Age | 25 - 44 years
Tragic
$90,448
Tragic
$83,575
Householder Age | 45 - 64 years
Tragic
$92,208
Tragic
$90,455
Householder Age | Over 65 years
Tragic
$55,394
Exceptional
$65,874
Wage/Income Gap
Exceptional
20.9%
Exceptional
23.4%

Immigrants from Bangladesh vs Marshallese Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in seniors poverty over the age of 75 (15.8% compared to 10.7%, a difference of 47.2%), married-couple family poverty (7.5% compared to 5.2%, a difference of 43.1%), and seniors poverty over the age of 65 (14.1% compared to 10.2%, a difference of 37.9%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (20.1% compared to 19.7%, a difference of 1.8%), single mother poverty (31.1% compared to 32.1%, a difference of 3.1%), and female poverty among 25-34 year olds (14.8% compared to 15.3%, a difference of 3.3%).
Immigrants from Bangladesh vs Marshallese Poverty
Poverty MetricImmigrants from BangladeshMarshallese
Poverty
Tragic
15.3%
Tragic
13.4%
Families
Tragic
11.7%
Tragic
9.9%
Males
Tragic
14.1%
Tragic
12.5%
Females
Tragic
16.4%
Tragic
14.4%
Females 18 to 24 years
Tragic
21.8%
Tragic
20.9%
Females 25 to 34 years
Tragic
14.8%
Tragic
15.3%
Children Under 5 years
Tragic
20.1%
Tragic
19.7%
Children Under 16 years
Tragic
19.8%
Tragic
18.1%
Boys Under 16 years
Tragic
19.9%
Tragic
18.4%
Girls Under 16 years
Tragic
19.9%
Tragic
18.7%
Single Males
Fair
13.0%
Tragic
16.4%
Single Females
Tragic
22.3%
Tragic
23.3%
Single Fathers
Average
16.3%
Tragic
16.9%
Single Mothers
Tragic
31.1%
Tragic
32.1%
Married Couples
Tragic
7.5%
Average
5.2%
Seniors Over 65 years
Tragic
14.1%
Exceptional
10.2%
Seniors Over 75 years
Tragic
15.8%
Exceptional
10.7%
Receiving Food Stamps
Tragic
15.9%
Tragic
14.1%

Immigrants from Bangladesh vs Marshallese Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in unemployment among ages 60 to 64 years (6.0% compared to 3.7%, a difference of 58.8%), unemployment among ages 16 to 19 years (21.5% compared to 17.6%, a difference of 21.7%), and unemployment among youth under 25 years (14.2% compared to 11.8%, a difference of 20.4%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.9% compared to 5.7%, a difference of 2.6%), unemployment among women with children ages 6 to 17 years (8.8% compared to 8.3%, a difference of 6.3%), and unemployment among ages 55 to 59 years (5.9% compared to 5.5%, a difference of 7.4%).
Immigrants from Bangladesh vs Marshallese Unemployment
Unemployment MetricImmigrants from BangladeshMarshallese
Unemployment
Tragic
6.5%
Tragic
5.6%
Males
Tragic
6.6%
Tragic
5.7%
Females
Tragic
6.5%
Tragic
5.6%
Youth < 25
Tragic
14.2%
Poor
11.8%
Age | 16 to 19 years
Tragic
21.5%
Average
17.6%
Age | 20 to 24 years
Tragic
12.6%
Tragic
11.0%
Age | 25 to 29 years
Tragic
7.5%
Exceptional
6.4%
Age | 30 to 34 years
Tragic
6.4%
Tragic
7.2%
Age | 35 to 44 years
Tragic
5.3%
Tragic
5.9%
Age | 45 to 54 years
Tragic
5.4%
Good
4.5%
Age | 55 to 59 years
Tragic
5.9%
Tragic
5.5%
Age | 60 to 64 years
Tragic
6.0%
Exceptional
3.7%
Age | 65 to 74 years
Tragic
5.9%
Tragic
5.7%
Seniors > 65
Tragic
5.7%
Tragic
5.3%
Seniors > 75
Tragic
9.1%
Exceptional
8.2%
Women w/ Children < 6
Tragic
8.8%
Tragic
9.6%
Women w/ Children 6 to 17
Good
8.8%
Exceptional
8.3%
Women w/ Children < 18
Tragic
6.4%
Fair
5.6%

Immigrants from Bangladesh vs Marshallese Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 39.5%, a difference of 31.4%), in labor force | age 20-24 (70.6% compared to 77.4%, a difference of 9.7%), and in labor force | age 30-34 (83.6% compared to 79.2%, a difference of 5.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.0% compared to 83.3%, a difference of 0.44%), in labor force | age > 16 (64.5% compared to 64.2%, a difference of 0.47%), and in labor force | age 20-64 (77.9% compared to 78.3%, a difference of 0.48%).
Immigrants from Bangladesh vs Marshallese Labor Participation
Labor Participation MetricImmigrants from BangladeshMarshallese
In Labor Force | Age > 16
Tragic
64.5%
Tragic
64.2%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
78.3%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
39.5%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
77.4%
In Labor Force | Age 25-29
Tragic
83.0%
Tragic
83.3%
In Labor Force | Age 30-34
Tragic
83.6%
Tragic
79.2%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
82.4%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
80.3%

Immigrants from Bangladesh vs Marshallese Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 17.5%), births to unmarried women (30.9% compared to 34.8%, a difference of 12.5%), and divorced or separated (11.0% compared to 12.0%, a difference of 9.4%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 63.7%, a difference of 0.19%), average family size (3.36 compared to 3.38, a difference of 0.50%), and married-couple households (43.1% compared to 44.6%, a difference of 3.5%).
Immigrants from Bangladesh vs Marshallese Family Structure
Family Structure MetricImmigrants from BangladeshMarshallese
Family Households
Poor
63.9%
Tragic
63.7%
Family Households with Children
Good
27.6%
Tragic
26.2%
Married-couple Households
Tragic
43.1%
Tragic
44.6%
Average Family Size
Exceptional
3.36
Exceptional
3.38
Single Father Households
Exceptional
2.1%
Tragic
2.4%
Single Mother Households
Tragic
6.9%
Average
6.3%
Currently Married
Tragic
43.6%
Tragic
45.5%
Divorced or Separated
Exceptional
11.0%
Good
12.0%
Births to Unmarried Women
Good
30.9%
Tragic
34.8%

Immigrants from Bangladesh vs Marshallese Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in no vehicles in household (25.8% compared to 9.8%, a difference of 162.2%), 4 or more vehicles in household (3.9% compared to 8.1%, a difference of 109.0%), and 3 or more vehicles in household (12.5% compared to 21.3%, a difference of 70.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 90.4%, a difference of 21.7%), 2 or more vehicles in household (38.8% compared to 54.9%, a difference of 41.6%), and 3 or more vehicles in household (12.5% compared to 21.3%, a difference of 70.1%).
Immigrants from Bangladesh vs Marshallese Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshMarshallese
No Vehicles Available
Tragic
25.8%
Excellent
9.8%
1+ Vehicles Available
Tragic
74.3%
Excellent
90.4%
2+ Vehicles Available
Tragic
38.8%
Fair
54.9%
3+ Vehicles Available
Tragic
12.5%
Exceptional
21.3%
4+ Vehicles Available
Tragic
3.9%
Exceptional
8.1%

Immigrants from Bangladesh vs Marshallese Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in no schooling completed (3.1% compared to 2.0%, a difference of 59.1%), master's degree (15.5% compared to 11.6%, a difference of 33.7%), and doctorate degree (1.8% compared to 1.5%, a difference of 26.0%). Conversely, both communities are more comparable in terms of college, under 1 year (61.3% compared to 61.9%, a difference of 1.1%), nursery school (96.9% compared to 98.1%, a difference of 1.3%), and 2nd grade (96.7% compared to 97.9%, a difference of 1.3%).
Immigrants from Bangladesh vs Marshallese Education Level
Education Level MetricImmigrants from BangladeshMarshallese
No Schooling Completed
Tragic
3.1%
Excellent
2.0%
Nursery School
Tragic
96.9%
Excellent
98.1%
Kindergarten
Tragic
96.8%
Excellent
98.1%
1st Grade
Tragic
96.8%
Excellent
98.0%
2nd Grade
Tragic
96.7%
Good
97.9%
3rd Grade
Tragic
96.6%
Average
97.8%
4th Grade
Tragic
96.2%
Good
97.6%
5th Grade
Tragic
96.0%
Good
97.4%
6th Grade
Tragic
95.4%
Good
97.1%
7th Grade
Tragic
94.0%
Average
96.0%
8th Grade
Tragic
93.6%
Average
95.7%
9th Grade
Tragic
92.4%
Fair
94.7%
10th Grade
Tragic
91.0%
Fair
93.6%
11th Grade
Tragic
89.5%
Fair
92.3%
12th Grade, No Diploma
Tragic
88.0%
Poor
90.7%
High School Diploma
Tragic
85.5%
Poor
88.6%
GED/Equivalency
Tragic
81.9%
Poor
84.9%
College, Under 1 year
Tragic
61.3%
Tragic
61.9%
College, 1 year or more
Tragic
56.6%
Tragic
55.8%
Associate's Degree
Fair
45.2%
Tragic
41.6%
Bachelor's Degree
Average
37.8%
Tragic
31.7%
Master's Degree
Good
15.5%
Tragic
11.6%
Professional Degree
Average
4.4%
Tragic
3.8%
Doctorate Degree
Average
1.8%
Tragic
1.5%

Immigrants from Bangladesh vs Marshallese Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Marshallese communities in the United States are seen in hearing disability (2.4% compared to 3.8%, a difference of 57.0%), disability age 18 to 34 (5.6% compared to 7.1%, a difference of 25.9%), and male disability (10.3% compared to 12.9%, a difference of 25.5%). Conversely, both communities are more comparable in terms of cognitive disability (17.8% compared to 17.7%, a difference of 0.72%), self-care disability (2.6% compared to 2.6%, a difference of 1.3%), and disability age over 75 (48.0% compared to 50.1%, a difference of 4.2%).
Immigrants from Bangladesh vs Marshallese Disability
Disability MetricImmigrants from BangladeshMarshallese
Disability
Exceptional
11.0%
Tragic
13.1%
Males
Exceptional
10.3%
Tragic
12.9%
Females
Exceptional
11.8%
Tragic
13.3%
Age | Under 5 years
Exceptional
0.85%
Exceptional
0.94%
Age | 5 to 17 years
Exceptional
5.2%
Fair
5.7%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.1%
Age | 35 to 64 years
Excellent
10.9%
Tragic
12.5%
Age | 65 to 74 years
Fair
23.6%
Tragic
25.3%
Age | Over 75 years
Tragic
48.0%
Tragic
50.1%
Vision
Good
2.1%
Tragic
2.3%
Hearing
Exceptional
2.4%
Tragic
3.8%
Cognitive
Tragic
17.8%
Tragic
17.7%
Ambulatory
Fair
6.2%
Tragic
6.9%
Self-Care
Tragic
2.6%
Tragic
2.6%