Burmese vs Marshallese Community Comparison

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Burmese
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 IndianBulgarianCajunCambodianCanadianCape 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

Burmese

Marshallese

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
2,873
SOCIAL INDEX
26.3/ 100
SOCIAL RATING
240th/ 347
SOCIAL RANK

Marshallese Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 14,462,438 people shows a very strong positive correlation between the proportion of Marshallese within Burmese communities in the United States with a correlation coefficient (R) of 0.872. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.137% in Marshallese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 136.5 Marshallese.
Burmese Integration in Marshallese Communities

Burmese vs Marshallese Income

When considering income, the most significant differences between Burmese and Marshallese communities in the United States are seen in householder income ages 25 - 44 years ($113,701 compared to $83,575, a difference of 36.0%), median male earnings ($65,236 compared to $48,137, a difference of 35.5%), and householder income ages 45 - 64 years ($121,444 compared to $90,455, a difference of 34.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($71,139 compared to $65,874, a difference of 8.0%), householder income under 25 years ($54,800 compared to $50,627, a difference of 8.2%), and wage/income gap (28.0% compared to 23.4%, a difference of 19.6%).
Burmese vs Marshallese Income
Income MetricBurmeseMarshallese
Per Capita Income
Exceptional
$52,005
Tragic
$39,108
Median Family Income
Exceptional
$123,369
Tragic
$95,293
Median Household Income
Exceptional
$103,145
Tragic
$78,930
Median Earnings
Exceptional
$54,559
Tragic
$41,969
Median Male Earnings
Exceptional
$65,236
Tragic
$48,137
Median Female Earnings
Exceptional
$44,911
Tragic
$36,459
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$50,627
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$83,575
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$90,455
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$65,874
Wage/Income Gap
Tragic
28.0%
Exceptional
23.4%

Burmese vs Marshallese Poverty

When considering poverty, the most significant differences between Burmese and Marshallese communities in the United States are seen in receiving food stamps (8.6% compared to 14.1%, a difference of 62.9%), child poverty under the age of 5 (13.2% compared to 19.7%, a difference of 49.1%), and child poverty among girls under 16 (13.0% compared to 18.7%, a difference of 43.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.1% compared to 10.2%, a difference of 1.2%), seniors poverty over the age of 75 (11.7% compared to 10.7%, a difference of 8.8%), and single father poverty (15.5% compared to 16.9%, a difference of 9.3%).
Burmese vs Marshallese Poverty
Poverty MetricBurmeseMarshallese
Poverty
Exceptional
10.7%
Tragic
13.4%
Families
Exceptional
7.3%
Tragic
9.9%
Males
Exceptional
9.7%
Tragic
12.5%
Females
Exceptional
11.6%
Tragic
14.4%
Females 18 to 24 years
Exceptional
18.9%
Tragic
20.9%
Females 25 to 34 years
Exceptional
11.2%
Tragic
15.3%
Children Under 5 years
Exceptional
13.2%
Tragic
19.7%
Children Under 16 years
Exceptional
12.8%
Tragic
18.1%
Boys Under 16 years
Exceptional
13.0%
Tragic
18.4%
Girls Under 16 years
Exceptional
13.0%
Tragic
18.7%
Single Males
Exceptional
11.7%
Tragic
16.4%
Single Females
Exceptional
18.3%
Tragic
23.3%
Single Fathers
Exceptional
15.5%
Tragic
16.9%
Single Mothers
Exceptional
26.2%
Tragic
32.1%
Married Couples
Exceptional
4.3%
Average
5.2%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
10.2%
Seniors Over 75 years
Excellent
11.7%
Exceptional
10.7%
Receiving Food Stamps
Exceptional
8.6%
Tragic
14.1%

Burmese vs Marshallese Unemployment

When considering unemployment, the most significant differences between Burmese and Marshallese communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 9.6%, a difference of 47.8%), unemployment among ages 30 to 34 years (5.1% compared to 7.2%, a difference of 40.7%), and unemployment among ages 35 to 44 years (4.3% compared to 5.9%, a difference of 36.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.2% compared to 8.2%, a difference of 0.70%), unemployment among ages 25 to 29 years (6.2% compared to 6.4%, a difference of 2.7%), and unemployment among ages 16 to 19 years (17.0% compared to 17.6%, a difference of 4.0%).
Burmese vs Marshallese Unemployment
Unemployment MetricBurmeseMarshallese
Unemployment
Exceptional
4.9%
Tragic
5.6%
Males
Exceptional
4.9%
Tragic
5.7%
Females
Exceptional
5.0%
Tragic
5.6%
Youth < 25
Excellent
11.3%
Poor
11.8%
Age | 16 to 19 years
Exceptional
17.0%
Average
17.6%
Age | 20 to 24 years
Excellent
10.2%
Tragic
11.0%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.4%
Age | 30 to 34 years
Exceptional
5.1%
Tragic
7.2%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.9%
Age | 45 to 54 years
Exceptional
4.2%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Tragic
5.5%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
3.7%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
5.7%
Seniors > 65
Exceptional
5.0%
Tragic
5.3%
Seniors > 75
Exceptional
8.2%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
6.5%
Tragic
9.6%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.3%
Women w/ Children < 18
Exceptional
4.9%
Fair
5.6%

Burmese vs Marshallese Labor Participation

When considering labor participation, the most significant differences between Burmese and Marshallese communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 39.5%, a difference of 14.4%), in labor force | age 30-34 (85.3% compared to 79.2%, a difference of 7.6%), and in labor force | age 20-24 (73.6% compared to 77.4%, a difference of 5.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 83.3%, a difference of 2.2%), in labor force | age 20-64 (80.3% compared to 78.3%, a difference of 2.6%), and in labor force | age 35-44 (84.7% compared to 82.4%, a difference of 2.8%).
Burmese vs Marshallese Labor Participation
Labor Participation MetricBurmeseMarshallese
In Labor Force | Age > 16
Exceptional
66.2%
Tragic
64.2%
In Labor Force | Age 20-64
Exceptional
80.3%
Tragic
78.3%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
39.5%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.4%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
83.3%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
79.2%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
82.4%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
80.3%

Burmese vs Marshallese Family Structure

When considering family structure, the most significant differences between Burmese and Marshallese communities in the United States are seen in births to unmarried women (26.4% compared to 34.8%, a difference of 31.8%), single mother households (5.3% compared to 6.3%, a difference of 19.9%), and single father households (2.0% compared to 2.4%, a difference of 19.7%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 63.7%, a difference of 3.2%), average family size (3.22 compared to 3.38, a difference of 5.1%), and currently married (48.9% compared to 45.5%, a difference of 7.5%).
Burmese vs Marshallese Family Structure
Family Structure MetricBurmeseMarshallese
Family Households
Exceptional
65.7%
Tragic
63.7%
Family Households with Children
Exceptional
28.5%
Tragic
26.2%
Married-couple Households
Exceptional
49.8%
Tragic
44.6%
Average Family Size
Fair
3.22
Exceptional
3.38
Single Father Households
Exceptional
2.0%
Tragic
2.4%
Single Mother Households
Exceptional
5.3%
Average
6.3%
Currently Married
Exceptional
48.9%
Tragic
45.5%
Divorced or Separated
Exceptional
10.7%
Good
12.0%
Births to Unmarried Women
Exceptional
26.4%
Tragic
34.8%

Burmese vs Marshallese Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Marshallese communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 8.1%, a difference of 19.4%), 2 or more vehicles in household (57.8% compared to 54.9%, a difference of 5.3%), and 3 or more vehicles in household (20.6% compared to 21.3%, a difference of 3.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.4%, a difference of 0.010%), no vehicles in household (9.7% compared to 9.8%, a difference of 1.5%), and 3 or more vehicles in household (20.6% compared to 21.3%, a difference of 3.1%).
Burmese vs Marshallese Vehicle Availability
Vehicle Availability MetricBurmeseMarshallese
No Vehicles Available
Excellent
9.7%
Excellent
9.8%
1+ Vehicles Available
Excellent
90.4%
Excellent
90.4%
2+ Vehicles Available
Exceptional
57.8%
Fair
54.9%
3+ Vehicles Available
Exceptional
20.6%
Exceptional
21.3%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
8.1%

Burmese vs Marshallese Education Level

When considering education level, the most significant differences between Burmese and Marshallese communities in the United States are seen in doctorate degree (2.6% compared to 1.5%, a difference of 80.6%), master's degree (19.7% compared to 11.6%, a difference of 70.3%), and professional degree (6.1% compared to 3.8%, a difference of 63.7%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.1%, a difference of 0.0%), kindergarten (98.1% compared to 98.1%, a difference of 0.010%), and 1st grade (98.0% compared to 98.0%, a difference of 0.010%).
Burmese vs Marshallese Education Level
Education Level MetricBurmeseMarshallese
No Schooling Completed
Excellent
1.9%
Excellent
2.0%
Nursery School
Excellent
98.1%
Excellent
98.1%
Kindergarten
Excellent
98.1%
Excellent
98.1%
1st Grade
Excellent
98.0%
Excellent
98.0%
2nd Grade
Excellent
98.0%
Good
97.9%
3rd Grade
Good
97.9%
Average
97.8%
4th Grade
Excellent
97.7%
Good
97.6%
5th Grade
Excellent
97.5%
Good
97.4%
6th Grade
Excellent
97.3%
Good
97.1%
7th Grade
Excellent
96.3%
Average
96.0%
8th Grade
Exceptional
96.1%
Average
95.7%
9th Grade
Exceptional
95.4%
Fair
94.7%
10th Grade
Exceptional
94.5%
Fair
93.6%
11th Grade
Exceptional
93.6%
Fair
92.3%
12th Grade, No Diploma
Exceptional
92.6%
Poor
90.7%
High School Diploma
Exceptional
90.8%
Poor
88.6%
GED/Equivalency
Exceptional
88.3%
Poor
84.9%
College, Under 1 year
Exceptional
71.9%
Tragic
61.9%
College, 1 year or more
Exceptional
66.7%
Tragic
55.8%
Associate's Degree
Exceptional
54.6%
Tragic
41.6%
Bachelor's Degree
Exceptional
46.9%
Tragic
31.7%
Master's Degree
Exceptional
19.7%
Tragic
11.6%
Professional Degree
Exceptional
6.1%
Tragic
3.8%
Doctorate Degree
Exceptional
2.6%
Tragic
1.5%

Burmese vs Marshallese Disability

When considering disability, the most significant differences between Burmese and Marshallese communities in the United States are seen in disability age 35 to 64 (9.2% compared to 12.5%, a difference of 36.1%), hearing disability (2.8% compared to 3.8%, a difference of 36.0%), and ambulatory disability (5.3% compared to 6.9%, a difference of 31.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.7%, a difference of 6.3%), disability age over 75 (45.9% compared to 50.1%, a difference of 9.1%), and self-care disability (2.3% compared to 2.6%, a difference of 14.9%).
Burmese vs Marshallese Disability
Disability MetricBurmeseMarshallese
Disability
Exceptional
10.4%
Tragic
13.1%
Males
Exceptional
10.0%
Tragic
12.9%
Females
Exceptional
10.7%
Tragic
13.3%
Age | Under 5 years
Exceptional
1.1%
Exceptional
0.94%
Age | 5 to 17 years
Exceptional
4.8%
Fair
5.7%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.1%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
12.5%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
25.3%
Age | Over 75 years
Exceptional
45.9%
Tragic
50.1%
Vision
Exceptional
1.8%
Tragic
2.3%
Hearing
Exceptional
2.8%
Tragic
3.8%
Cognitive
Exceptional
16.7%
Tragic
17.7%
Ambulatory
Exceptional
5.3%
Tragic
6.9%
Self-Care
Exceptional
2.3%
Tragic
2.6%