Indian (Asian) vs Burmese Community Comparison

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Indian (Asian)
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
Burmese
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)

Burmese

Good
Exceptional
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK

Burmese Integration in Indian (Asian) Communities

The statistical analysis conducted on geographies consisting of 438,980,232 people shows a weak positive correlation between the proportion of Burmese within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.227. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.030% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 29.5 Burmese.
Indian (Asian) Integration in Burmese Communities

Indian (Asian) vs Burmese Income

When considering income, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in householder income under 25 years ($58,239 compared to $54,800, a difference of 6.3%), wage/income gap (26.4% compared to 28.0%, a difference of 5.9%), and householder income ages 25 - 44 years ($119,496 compared to $113,701, a difference of 5.1%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($122,343 compared to $121,444, a difference of 0.74%), householder income over 65 years ($70,238 compared to $71,139, a difference of 1.3%), and median male earnings ($66,078 compared to $65,236, a difference of 1.3%).
Indian (Asian) vs Burmese Income
Income MetricIndian (Asian)Burmese
Per Capita Income
Exceptional
$53,874
Exceptional
$52,005
Median Family Income
Exceptional
$125,312
Exceptional
$123,369
Median Household Income
Exceptional
$105,262
Exceptional
$103,145
Median Earnings
Exceptional
$56,253
Exceptional
$54,559
Median Male Earnings
Exceptional
$66,078
Exceptional
$65,236
Median Female Earnings
Exceptional
$46,481
Exceptional
$44,911
Householder Age | Under 25 years
Exceptional
$58,239
Exceptional
$54,800
Householder Age | 25 - 44 years
Exceptional
$119,496
Exceptional
$113,701
Householder Age | 45 - 64 years
Exceptional
$122,343
Exceptional
$121,444
Householder Age | Over 65 years
Exceptional
$70,238
Exceptional
$71,139
Wage/Income Gap
Poor
26.4%
Tragic
28.0%

Indian (Asian) vs Burmese Poverty

When considering poverty, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in married-couple family poverty (4.8% compared to 4.3%, a difference of 11.6%), receiving food stamps (9.6% compared to 8.6%, a difference of 11.3%), and seniors poverty over the age of 65 (11.1% compared to 10.1%, a difference of 10.1%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (11.2% compared to 11.2%, a difference of 0.010%), child poverty under the age of 5 (13.4% compared to 13.2%, a difference of 1.7%), and single female poverty (17.9% compared to 18.3%, a difference of 1.8%).
Indian (Asian) vs Burmese Poverty
Poverty MetricIndian (Asian)Burmese
Poverty
Exceptional
11.3%
Exceptional
10.7%
Families
Exceptional
7.7%
Exceptional
7.3%
Males
Exceptional
10.4%
Exceptional
9.7%
Females
Exceptional
12.2%
Exceptional
11.6%
Females 18 to 24 years
Excellent
19.6%
Exceptional
18.9%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
11.2%
Children Under 5 years
Exceptional
13.4%
Exceptional
13.2%
Children Under 16 years
Exceptional
13.1%
Exceptional
12.8%
Boys Under 16 years
Exceptional
13.3%
Exceptional
13.0%
Girls Under 16 years
Exceptional
13.3%
Exceptional
13.0%
Single Males
Exceptional
11.3%
Exceptional
11.7%
Single Females
Exceptional
17.9%
Exceptional
18.3%
Single Fathers
Exceptional
14.8%
Exceptional
15.5%
Single Mothers
Exceptional
25.8%
Exceptional
26.2%
Married Couples
Exceptional
4.8%
Exceptional
4.3%
Seniors Over 65 years
Fair
11.1%
Exceptional
10.1%
Seniors Over 75 years
Tragic
12.7%
Excellent
11.7%
Receiving Food Stamps
Exceptional
9.6%
Exceptional
8.6%

Indian (Asian) vs Burmese Unemployment

When considering unemployment, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in unemployment among ages 55 to 59 years (4.9% compared to 4.5%, a difference of 8.9%), male unemployment (5.2% compared to 4.9%, a difference of 6.0%), and unemployment among ages 45 to 54 years (4.5% compared to 4.2%, a difference of 5.9%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.32%), unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.77%), and unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.95%).
Indian (Asian) vs Burmese Unemployment
Unemployment MetricIndian (Asian)Burmese
Unemployment
Excellent
5.1%
Exceptional
4.9%
Males
Good
5.2%
Exceptional
4.9%
Females
Excellent
5.1%
Exceptional
5.0%
Youth < 25
Good
11.5%
Excellent
11.3%
Age | 16 to 19 years
Good
17.3%
Exceptional
17.0%
Age | 20 to 24 years
Good
10.3%
Excellent
10.2%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Good
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
4.9%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
5.0%
Excellent
4.8%
Age | 65 to 74 years
Average
5.3%
Exceptional
5.2%
Seniors > 65
Average
5.2%
Exceptional
5.0%
Seniors > 75
Exceptional
8.0%
Exceptional
8.2%
Women w/ Children < 6
Exceptional
6.3%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
7.7%
Exceptional
8.0%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.9%

Indian (Asian) vs Burmese Labor Participation

When considering labor participation, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 34.5%, a difference of 8.3%), in labor force | age 20-24 (71.9% compared to 73.6%, a difference of 2.4%), and in labor force | age > 16 (65.5% compared to 66.2%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.13%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.13%), and in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.36%).
Indian (Asian) vs Burmese Labor Participation
Labor Participation MetricIndian (Asian)Burmese
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
66.2%
In Labor Force | Age 20-64
Excellent
79.9%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
31.9%
Tragic
34.5%
In Labor Force | Age 20-24
Tragic
71.9%
Tragic
73.6%
In Labor Force | Age 25-29
Good
84.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
84.8%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.6%

Indian (Asian) vs Burmese Family Structure

When considering family structure, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in single father households (1.9% compared to 2.0%, a difference of 6.7%), divorced or separated (10.2% compared to 10.7%, a difference of 5.1%), and births to unmarried women (25.3% compared to 26.4%, a difference of 4.3%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.22, a difference of 0.84%), family households (65.1% compared to 65.7%, a difference of 0.95%), and currently married (48.0% compared to 48.9%, a difference of 2.0%).
Indian (Asian) vs Burmese Family Structure
Family Structure MetricIndian (Asian)Burmese
Family Households
Exceptional
65.1%
Exceptional
65.7%
Family Households with Children
Good
27.6%
Exceptional
28.5%
Married-couple Households
Exceptional
48.7%
Exceptional
49.8%
Average Family Size
Good
3.24
Fair
3.22
Single Father Households
Exceptional
1.9%
Exceptional
2.0%
Single Mother Households
Exceptional
5.1%
Exceptional
5.3%
Currently Married
Exceptional
48.0%
Exceptional
48.9%
Divorced or Separated
Exceptional
10.2%
Exceptional
10.7%
Births to Unmarried Women
Exceptional
25.3%
Exceptional
26.4%

Indian (Asian) vs Burmese Vehicle Availability

When considering vehicle availability, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in no vehicles in household (14.1% compared to 9.7%, a difference of 45.3%), 2 or more vehicles in household (53.1% compared to 57.8%, a difference of 8.8%), and 3 or more vehicles in household (19.1% compared to 20.6%, a difference of 8.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.1%), 4 or more vehicles in household (6.4% compared to 6.8%, a difference of 6.1%), and 3 or more vehicles in household (19.1% compared to 20.6%, a difference of 8.0%).
Indian (Asian) vs Burmese Vehicle Availability
Vehicle Availability MetricIndian (Asian)Burmese
No Vehicles Available
Tragic
14.1%
Excellent
9.7%
1+ Vehicles Available
Tragic
86.0%
Excellent
90.4%
2+ Vehicles Available
Tragic
53.1%
Exceptional
57.8%
3+ Vehicles Available
Fair
19.1%
Exceptional
20.6%
4+ Vehicles Available
Good
6.4%
Exceptional
6.8%

Indian (Asian) vs Burmese Education Level

When considering education level, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in no schooling completed (2.5% compared to 1.9%, a difference of 26.9%), doctorate degree (2.9% compared to 2.6%, a difference of 10.4%), and professional degree (6.5% compared to 6.1%, a difference of 6.2%). Conversely, both communities are more comparable in terms of associate's degree (54.8% compared to 54.6%, a difference of 0.34%), nursery school (97.6% compared to 98.1%, a difference of 0.47%), and kindergarten (97.6% compared to 98.1%, a difference of 0.47%).
Indian (Asian) vs Burmese Education Level
Education Level MetricIndian (Asian)Burmese
No Schooling Completed
Tragic
2.5%
Excellent
1.9%
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%
Excellent
98.0%
3rd Grade
Tragic
97.4%
Good
97.9%
4th Grade
Tragic
97.2%
Excellent
97.7%
5th Grade
Tragic
96.9%
Excellent
97.5%
6th Grade
Tragic
96.6%
Excellent
97.3%
7th Grade
Tragic
95.5%
Excellent
96.3%
8th Grade
Tragic
95.2%
Exceptional
96.1%
9th Grade
Tragic
94.5%
Exceptional
95.4%
10th Grade
Poor
93.4%
Exceptional
94.5%
11th Grade
Average
92.5%
Exceptional
93.6%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.6%
High School Diploma
Good
89.6%
Exceptional
90.8%
GED/Equivalency
Exceptional
87.1%
Exceptional
88.3%
College, Under 1 year
Exceptional
70.8%
Exceptional
71.9%
College, 1 year or more
Exceptional
66.1%
Exceptional
66.7%
Associate's Degree
Exceptional
54.8%
Exceptional
54.6%
Bachelor's Degree
Exceptional
47.4%
Exceptional
46.9%
Master's Degree
Exceptional
20.5%
Exceptional
19.7%
Professional Degree
Exceptional
6.5%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.9%
Exceptional
2.6%

Indian (Asian) vs Burmese Disability

When considering disability, the most significant differences between Indian (Asian) and Burmese communities in the United States are seen in disability age under 5 (1.0% compared to 1.1%, a difference of 12.0%), disability age 18 to 34 (5.5% compared to 6.0%, a difference of 8.0%), and disability age 5 to 17 (4.6% compared to 4.8%, a difference of 4.6%). Conversely, both communities are more comparable in terms of vision disability (1.8% compared to 1.8%, a difference of 0.010%), female disability (10.8% compared to 10.7%, a difference of 0.39%), and disability age 65 to 74 (20.5% compared to 20.6%, a difference of 0.43%).
Indian (Asian) vs Burmese Disability
Disability MetricIndian (Asian)Burmese
Disability
Exceptional
10.3%
Exceptional
10.4%
Males
Exceptional
9.7%
Exceptional
10.0%
Females
Exceptional
10.8%
Exceptional
10.7%
Age | Under 5 years
Exceptional
1.0%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
4.6%
Exceptional
4.8%
Age | 18 to 34 years
Exceptional
5.5%
Exceptional
6.0%
Age | 35 to 64 years
Exceptional
8.9%
Exceptional
9.2%
Age | 65 to 74 years
Exceptional
20.5%
Exceptional
20.6%
Age | Over 75 years
Exceptional
46.5%
Exceptional
45.9%
Vision
Exceptional
1.8%
Exceptional
1.8%
Hearing
Exceptional
2.7%
Exceptional
2.8%
Cognitive
Exceptional
16.8%
Exceptional
16.7%
Ambulatory
Exceptional
5.4%
Exceptional
5.3%
Self-Care
Exceptional
2.3%
Exceptional
2.3%