Indian (Asian) vs Marshallese Community Comparison

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Indian (Asian)
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Indians (Asian)

Marshallese

Good
Fair
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
2,873
SOCIAL INDEX
26.3/ 100
SOCIAL RATING
240th/ 347
SOCIAL RANK

Marshallese Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 14,687,102 people shows a poor positive correlation between the proportion of Marshallese within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.153. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.009% in Marshallese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 9.4 Marshallese.
Indian (Asian) Integration in Marshallese Communities

Indian (Asian) vs Marshallese Income

When considering income, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $83,575, a difference of 43.0%), per capita income ($53,874 compared to $39,108, a difference of 37.8%), and median male earnings ($66,078 compared to $48,137, a difference of 37.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($70,238 compared to $65,874, a difference of 6.6%), wage/income gap (26.4% compared to 23.4%, a difference of 12.9%), and householder income under 25 years ($58,239 compared to $50,627, a difference of 15.0%).
Indian (Asian) vs Marshallese Income
Income MetricIndian (Asian)Marshallese
Per Capita Income
Exceptional
$53,874
Tragic
$39,108
Median Family Income
Exceptional
$125,312
Tragic
$95,293
Median Household Income
Exceptional
$105,262
Tragic
$78,930
Median Earnings
Exceptional
$56,253
Tragic
$41,969
Median Male Earnings
Exceptional
$66,078
Tragic
$48,137
Median Female Earnings
Exceptional
$46,481
Tragic
$36,459
Householder Age | Under 25 years
Exceptional
$58,239
Tragic
$50,627
Householder Age | 25 - 44 years
Exceptional
$119,496
Tragic
$83,575
Householder Age | 45 - 64 years
Exceptional
$122,343
Tragic
$90,455
Householder Age | Over 65 years
Exceptional
$70,238
Exceptional
$65,874
Wage/Income Gap
Poor
26.4%
Exceptional
23.4%

Indian (Asian) vs Marshallese Poverty

When considering poverty, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 19.7%, a difference of 46.7%), receiving food stamps (9.6% compared to 14.1%, a difference of 46.3%), and single male poverty (11.3% compared to 16.4%, a difference of 46.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 20.9%, a difference of 6.7%), married-couple family poverty (4.8% compared to 5.2%, a difference of 8.5%), and seniors poverty over the age of 65 (11.1% compared to 10.2%, a difference of 8.7%).
Indian (Asian) vs Marshallese Poverty
Poverty MetricIndian (Asian)Marshallese
Poverty
Exceptional
11.3%
Tragic
13.4%
Families
Exceptional
7.7%
Tragic
9.9%
Males
Exceptional
10.4%
Tragic
12.5%
Females
Exceptional
12.2%
Tragic
14.4%
Females 18 to 24 years
Excellent
19.6%
Tragic
20.9%
Females 25 to 34 years
Exceptional
11.2%
Tragic
15.3%
Children Under 5 years
Exceptional
13.4%
Tragic
19.7%
Children Under 16 years
Exceptional
13.1%
Tragic
18.1%
Boys Under 16 years
Exceptional
13.3%
Tragic
18.4%
Girls Under 16 years
Exceptional
13.3%
Tragic
18.7%
Single Males
Exceptional
11.3%
Tragic
16.4%
Single Females
Exceptional
17.9%
Tragic
23.3%
Single Fathers
Exceptional
14.8%
Tragic
16.9%
Single Mothers
Exceptional
25.8%
Tragic
32.1%
Married Couples
Exceptional
4.8%
Average
5.2%
Seniors Over 65 years
Fair
11.1%
Exceptional
10.2%
Seniors Over 75 years
Tragic
12.7%
Exceptional
10.7%
Receiving Food Stamps
Exceptional
9.6%
Tragic
14.1%

Indian (Asian) vs Marshallese Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 9.6%, a difference of 52.0%), unemployment among ages 30 to 34 years (5.1% compared to 7.2%, a difference of 41.2%), and unemployment among ages 60 to 64 years (5.0% compared to 3.7%, a difference of 34.0%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.14%), unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 1.5%), and unemployment among ages 16 to 19 years (17.3% compared to 17.6%, a difference of 1.9%).
Indian (Asian) vs Marshallese Unemployment
Unemployment MetricIndian (Asian)Marshallese
Unemployment
Excellent
5.1%
Tragic
5.6%
Males
Good
5.2%
Tragic
5.7%
Females
Excellent
5.1%
Tragic
5.6%
Youth < 25
Good
11.5%
Poor
11.8%
Age | 16 to 19 years
Good
17.3%
Average
17.6%
Age | 20 to 24 years
Good
10.3%
Tragic
11.0%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
7.2%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.9%
Age | 45 to 54 years
Good
4.5%
Good
4.5%
Age | 55 to 59 years
Tragic
4.9%
Tragic
5.5%
Age | 60 to 64 years
Tragic
5.0%
Exceptional
3.7%
Age | 65 to 74 years
Average
5.3%
Tragic
5.7%
Seniors > 65
Average
5.2%
Tragic
5.3%
Seniors > 75
Exceptional
8.0%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
6.3%
Tragic
9.6%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
8.3%
Women w/ Children < 18
Exceptional
4.9%
Fair
5.6%

Indian (Asian) vs Marshallese Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 39.5%, a difference of 23.9%), in labor force | age 30-34 (85.4% compared to 79.2%, a difference of 7.7%), and in labor force | age 20-24 (71.9% compared to 77.4%, a difference of 7.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 83.3%, a difference of 1.7%), in labor force | age > 16 (65.5% compared to 64.2%, a difference of 2.0%), and in labor force | age 20-64 (79.9% compared to 78.3%, a difference of 2.1%).
Indian (Asian) vs Marshallese Labor Participation
Labor Participation MetricIndian (Asian)Marshallese
In Labor Force | Age > 16
Excellent
65.5%
Tragic
64.2%
In Labor Force | Age 20-64
Excellent
79.9%
Tragic
78.3%
In Labor Force | Age 16-19
Tragic
31.9%
Exceptional
39.5%
In Labor Force | Age 20-24
Tragic
71.9%
Exceptional
77.4%
In Labor Force | Age 25-29
Good
84.7%
Tragic
83.3%
In Labor Force | Age 30-34
Exceptional
85.4%
Tragic
79.2%
In Labor Force | Age 35-44
Exceptional
84.8%
Tragic
82.4%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
80.3%

Indian (Asian) vs Marshallese Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in births to unmarried women (25.3% compared to 34.8%, a difference of 37.6%), single father households (1.9% compared to 2.4%, a difference of 27.7%), and single mother households (5.1% compared to 6.3%, a difference of 24.2%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 63.7%, a difference of 2.2%), average family size (3.24 compared to 3.38, a difference of 4.2%), and family households with children (27.6% compared to 26.2%, a difference of 5.1%).
Indian (Asian) vs Marshallese Family Structure
Family Structure MetricIndian (Asian)Marshallese
Family Households
Exceptional
65.1%
Tragic
63.7%
Family Households with Children
Good
27.6%
Tragic
26.2%
Married-couple Households
Exceptional
48.7%
Tragic
44.6%
Average Family Size
Good
3.24
Exceptional
3.38
Single Father Households
Exceptional
1.9%
Tragic
2.4%
Single Mother Households
Exceptional
5.1%
Average
6.3%
Currently Married
Exceptional
48.0%
Tragic
45.5%
Divorced or Separated
Exceptional
10.2%
Good
12.0%
Births to Unmarried Women
Exceptional
25.3%
Tragic
34.8%

Indian (Asian) vs Marshallese Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in no vehicles in household (14.1% compared to 9.8%, a difference of 43.2%), 4 or more vehicles in household (6.4% compared to 8.1%, a difference of 26.6%), and 3 or more vehicles in household (19.1% compared to 21.3%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.1% compared to 54.9%, a difference of 3.4%), 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.1%), and 3 or more vehicles in household (19.1% compared to 21.3%, a difference of 11.4%).
Indian (Asian) vs Marshallese Vehicle Availability
Vehicle Availability MetricIndian (Asian)Marshallese
No Vehicles Available
Tragic
14.1%
Excellent
9.8%
1+ Vehicles Available
Tragic
86.0%
Excellent
90.4%
2+ Vehicles Available
Tragic
53.1%
Fair
54.9%
3+ Vehicles Available
Fair
19.1%
Exceptional
21.3%
4+ Vehicles Available
Good
6.4%
Exceptional
8.1%

Indian (Asian) vs Marshallese Education Level

When considering education level, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in doctorate degree (2.9% compared to 1.5%, a difference of 99.4%), master's degree (20.5% compared to 11.6%, a difference of 76.7%), and professional degree (6.5% compared to 3.8%, a difference of 73.8%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.6%, a difference of 0.19%), 9th grade (94.5% compared to 94.7%, a difference of 0.26%), and 11th grade (92.5% compared to 92.3%, a difference of 0.27%).
Indian (Asian) vs Marshallese Education Level
Education Level MetricIndian (Asian)Marshallese
No Schooling Completed
Tragic
2.5%
Excellent
2.0%
Nursery School
Tragic
97.6%
Excellent
98.1%
Kindergarten
Tragic
97.6%
Excellent
98.1%
1st Grade
Tragic
97.5%
Excellent
98.0%
2nd Grade
Tragic
97.5%
Good
97.9%
3rd Grade
Tragic
97.4%
Average
97.8%
4th Grade
Tragic
97.2%
Good
97.6%
5th Grade
Tragic
96.9%
Good
97.4%
6th Grade
Tragic
96.6%
Good
97.1%
7th Grade
Tragic
95.5%
Average
96.0%
8th Grade
Tragic
95.2%
Average
95.7%
9th Grade
Tragic
94.5%
Fair
94.7%
10th Grade
Poor
93.4%
Fair
93.6%
11th Grade
Average
92.5%
Fair
92.3%
12th Grade, No Diploma
Good
91.5%
Poor
90.7%
High School Diploma
Good
89.6%
Poor
88.6%
GED/Equivalency
Exceptional
87.1%
Poor
84.9%
College, Under 1 year
Exceptional
70.8%
Tragic
61.9%
College, 1 year or more
Exceptional
66.1%
Tragic
55.8%
Associate's Degree
Exceptional
54.8%
Tragic
41.6%
Bachelor's Degree
Exceptional
47.4%
Tragic
31.7%
Master's Degree
Exceptional
20.5%
Tragic
11.6%
Professional Degree
Exceptional
6.5%
Tragic
3.8%
Doctorate Degree
Exceptional
2.9%
Tragic
1.5%

Indian (Asian) vs Marshallese Disability

When considering disability, the most significant differences between Indian (Asian) and Marshallese communities in the United States are seen in disability age 35 to 64 (8.9% compared to 12.5%, a difference of 41.6%), hearing disability (2.7% compared to 3.8%, a difference of 40.7%), and male disability (9.7% compared to 12.9%, a difference of 33.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 17.7%, a difference of 5.2%), disability age under 5 (1.0% compared to 0.94%, a difference of 7.0%), and disability age over 75 (46.5% compared to 50.1%, a difference of 7.6%).
Indian (Asian) vs Marshallese Disability
Disability MetricIndian (Asian)Marshallese
Disability
Exceptional
10.3%
Tragic
13.1%
Males
Exceptional
9.7%
Tragic
12.9%
Females
Exceptional
10.8%
Tragic
13.3%
Age | Under 5 years
Exceptional
1.0%
Exceptional
0.94%
Age | 5 to 17 years
Exceptional
4.6%
Fair
5.7%
Age | 18 to 34 years
Exceptional
5.5%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
8.9%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
20.5%
Tragic
25.3%
Age | Over 75 years
Exceptional
46.5%
Tragic
50.1%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.7%
Tragic
3.8%
Cognitive
Exceptional
16.8%
Tragic
17.7%
Ambulatory
Exceptional
5.4%
Tragic
6.9%
Self-Care
Exceptional
2.3%
Tragic
2.6%