Burmese vs Indonesian Community Comparison

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Burmese
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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
Indonesian
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

Indonesians

Exceptional
Fair
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
2,685
SOCIAL INDEX
24.4/ 100
SOCIAL RATING
247th/ 347
SOCIAL RANK

Indonesian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 158,322,567 people shows a poor negative correlation between the proportion of Indonesians within Burmese communities in the United States with a correlation coefficient (R) of -0.118. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.003% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 2.6 Indonesians.
Burmese Integration in Indonesian Communities

Burmese vs Indonesian Income

When considering income, the most significant differences between Burmese and Indonesian communities in the United States are seen in householder income ages 45 - 64 years ($121,444 compared to $84,890, a difference of 43.1%), householder income ages 25 - 44 years ($113,701 compared to $79,543, a difference of 42.9%), and median household income ($103,145 compared to $72,856, a difference of 41.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $45,566, a difference of 20.3%), wage/income gap (28.0% compared to 22.7%, a difference of 23.3%), and median female earnings ($44,911 compared to $36,140, a difference of 24.3%).
Burmese vs Indonesian Income
Income MetricBurmeseIndonesian
Per Capita Income
Exceptional
$52,005
Tragic
$37,300
Median Family Income
Exceptional
$123,369
Tragic
$88,301
Median Household Income
Exceptional
$103,145
Tragic
$72,856
Median Earnings
Exceptional
$54,559
Tragic
$41,701
Median Male Earnings
Exceptional
$65,236
Tragic
$47,503
Median Female Earnings
Exceptional
$44,911
Tragic
$36,140
Householder Age | Under 25 years
Exceptional
$54,800
Tragic
$45,566
Householder Age | 25 - 44 years
Exceptional
$113,701
Tragic
$79,543
Householder Age | 45 - 64 years
Exceptional
$121,444
Tragic
$84,890
Householder Age | Over 65 years
Exceptional
$71,139
Tragic
$54,176
Wage/Income Gap
Tragic
28.0%
Exceptional
22.7%

Burmese vs Indonesian Poverty

When considering poverty, the most significant differences between Burmese and Indonesian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 22.3%, a difference of 68.2%), child poverty under the age of 16 (12.8% compared to 21.0%, a difference of 63.6%), and child poverty among girls under 16 (13.0% compared to 21.3%, a difference of 63.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 12.1%, a difference of 3.3%), single father poverty (15.5% compared to 17.4%, a difference of 12.6%), and seniors poverty over the age of 65 (10.1% compared to 11.5%, a difference of 13.7%).
Burmese vs Indonesian Poverty
Poverty MetricBurmeseIndonesian
Poverty
Exceptional
10.7%
Tragic
15.1%
Families
Exceptional
7.3%
Tragic
11.3%
Males
Exceptional
9.7%
Tragic
13.8%
Females
Exceptional
11.6%
Tragic
16.4%
Females 18 to 24 years
Exceptional
18.9%
Tragic
22.5%
Females 25 to 34 years
Exceptional
11.2%
Tragic
16.4%
Children Under 5 years
Exceptional
13.2%
Tragic
22.3%
Children Under 16 years
Exceptional
12.8%
Tragic
21.0%
Boys Under 16 years
Exceptional
13.0%
Tragic
20.8%
Girls Under 16 years
Exceptional
13.0%
Tragic
21.3%
Single Males
Exceptional
11.7%
Tragic
14.1%
Single Females
Exceptional
18.3%
Tragic
24.3%
Single Fathers
Exceptional
15.5%
Tragic
17.4%
Single Mothers
Exceptional
26.2%
Tragic
32.4%
Married Couples
Exceptional
4.3%
Tragic
6.3%
Seniors Over 65 years
Exceptional
10.1%
Poor
11.5%
Seniors Over 75 years
Excellent
11.7%
Good
12.1%
Receiving Food Stamps
Exceptional
8.6%
Tragic
13.9%

Burmese vs Indonesian Unemployment

When considering unemployment, the most significant differences between Burmese and Indonesian communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.7%, a difference of 18.7%), unemployment among ages 60 to 64 years (4.8% compared to 4.2%, a difference of 13.1%), and unemployment among ages 20 to 24 years (10.2% compared to 9.0%, a difference of 13.0%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 5.0%, a difference of 0.18%), unemployment among ages 30 to 34 years (5.1% compared to 5.2%, a difference of 0.63%), and unemployment among ages 25 to 29 years (6.2% compared to 6.1%, a difference of 0.85%).
Burmese vs Indonesian Unemployment
Unemployment MetricBurmeseIndonesian
Unemployment
Exceptional
4.9%
Excellent
5.1%
Males
Exceptional
4.9%
Good
5.2%
Females
Exceptional
5.0%
Exceptional
5.0%
Youth < 25
Excellent
11.3%
Exceptional
10.6%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
15.5%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.0%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.1%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.3%
Average
4.7%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.4%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.3%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.2%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.7%
Seniors > 65
Exceptional
5.0%
Exceptional
4.5%
Seniors > 75
Exceptional
8.2%
Exceptional
7.9%
Women w/ Children < 6
Exceptional
6.5%
Average
7.7%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.9%
Fair
5.5%

Burmese vs Indonesian Labor Participation

When considering labor participation, the most significant differences between Burmese and Indonesian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.7%, a difference of 18.0%), in labor force | age 20-24 (73.6% compared to 77.2%, a difference of 5.0%), and in labor force | age 45-54 (83.6% compared to 81.5%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.3%, a difference of 0.17%), in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.53%), and in labor force | age 30-34 (85.3% compared to 84.3%, a difference of 1.1%).
Burmese vs Indonesian Labor Participation
Labor Participation MetricBurmeseIndonesian
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
66.3%
In Labor Force | Age 20-64
Exceptional
80.3%
Fair
79.4%
In Labor Force | Age 16-19
Tragic
34.5%
Exceptional
40.7%
In Labor Force | Age 20-24
Tragic
73.6%
Exceptional
77.2%
In Labor Force | Age 25-29
Exceptional
85.1%
Average
84.7%
In Labor Force | Age 30-34
Exceptional
85.3%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Tragic
83.7%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
81.5%

Burmese vs Indonesian Family Structure

When considering family structure, the most significant differences between Burmese and Indonesian communities in the United States are seen in single mother households (5.3% compared to 7.5%, a difference of 41.5%), births to unmarried women (26.4% compared to 35.0%, a difference of 32.7%), and single father households (2.0% compared to 2.6%, a difference of 26.2%). Conversely, both communities are more comparable in terms of family households with children (28.5% compared to 28.1%, a difference of 1.3%), average family size (3.22 compared to 3.28, a difference of 1.8%), and family households (65.7% compared to 61.5%, a difference of 6.9%).
Burmese vs Indonesian Family Structure
Family Structure MetricBurmeseIndonesian
Family Households
Exceptional
65.7%
Tragic
61.5%
Family Households with Children
Exceptional
28.5%
Exceptional
28.1%
Married-couple Households
Exceptional
49.8%
Tragic
42.0%
Average Family Size
Fair
3.22
Exceptional
3.28
Single Father Households
Exceptional
2.0%
Tragic
2.6%
Single Mother Households
Exceptional
5.3%
Tragic
7.5%
Currently Married
Exceptional
48.9%
Tragic
43.5%
Divorced or Separated
Exceptional
10.7%
Tragic
12.6%
Births to Unmarried Women
Exceptional
26.4%
Tragic
35.0%

Burmese vs Indonesian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Indonesian communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 6.0%, a difference of 14.6%), 3 or more vehicles in household (20.6% compared to 18.3%, a difference of 13.0%), and 2 or more vehicles in household (57.8% compared to 53.4%, a difference of 8.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.7%, a difference of 0.77%), no vehicles in household (9.7% compared to 10.3%, a difference of 6.6%), and 2 or more vehicles in household (57.8% compared to 53.4%, a difference of 8.3%).
Burmese vs Indonesian Vehicle Availability
Vehicle Availability MetricBurmeseIndonesian
No Vehicles Available
Excellent
9.7%
Average
10.3%
1+ Vehicles Available
Excellent
90.4%
Average
89.7%
2+ Vehicles Available
Exceptional
57.8%
Tragic
53.4%
3+ Vehicles Available
Exceptional
20.6%
Tragic
18.3%
4+ Vehicles Available
Exceptional
6.8%
Tragic
6.0%

Burmese vs Indonesian Education Level

When considering education level, the most significant differences between Burmese and Indonesian communities in the United States are seen in professional degree (6.1% compared to 3.7%, a difference of 67.4%), doctorate degree (2.6% compared to 1.6%, a difference of 64.7%), and no schooling completed (1.9% compared to 3.2%, a difference of 64.6%). Conversely, both communities are more comparable in terms of 2nd grade (98.0% compared to 96.7%, a difference of 1.3%), nursery school (98.1% compared to 96.8%, a difference of 1.3%), and kindergarten (98.1% compared to 96.8%, a difference of 1.3%).
Burmese vs Indonesian Education Level
Education Level MetricBurmeseIndonesian
No Schooling Completed
Excellent
1.9%
Tragic
3.2%
Nursery School
Excellent
98.1%
Tragic
96.8%
Kindergarten
Excellent
98.1%
Tragic
96.8%
1st Grade
Excellent
98.0%
Tragic
96.7%
2nd Grade
Excellent
98.0%
Tragic
96.7%
3rd Grade
Good
97.9%
Tragic
96.5%
4th Grade
Excellent
97.7%
Tragic
96.2%
5th Grade
Excellent
97.5%
Tragic
96.0%
6th Grade
Excellent
97.3%
Tragic
95.6%
7th Grade
Excellent
96.3%
Tragic
94.5%
8th Grade
Exceptional
96.1%
Tragic
94.1%
9th Grade
Exceptional
95.4%
Tragic
93.1%
10th Grade
Exceptional
94.5%
Tragic
91.8%
11th Grade
Exceptional
93.6%
Tragic
90.3%
12th Grade, No Diploma
Exceptional
92.6%
Tragic
88.6%
High School Diploma
Exceptional
90.8%
Tragic
86.5%
GED/Equivalency
Exceptional
88.3%
Tragic
82.5%
College, Under 1 year
Exceptional
71.9%
Tragic
61.2%
College, 1 year or more
Exceptional
66.7%
Tragic
55.1%
Associate's Degree
Exceptional
54.6%
Tragic
41.9%
Bachelor's Degree
Exceptional
46.9%
Tragic
33.5%
Master's Degree
Exceptional
19.7%
Tragic
12.6%
Professional Degree
Exceptional
6.1%
Tragic
3.7%
Doctorate Degree
Exceptional
2.6%
Tragic
1.6%

Burmese vs Indonesian Disability

When considering disability, the most significant differences between Burmese and Indonesian communities in the United States are seen in disability age 35 to 64 (9.2% compared to 13.2%, a difference of 43.7%), disability age 5 to 17 (4.8% compared to 5.9%, a difference of 22.8%), and vision disability (1.8% compared to 2.2%, a difference of 21.3%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.2%, a difference of 2.6%), disability age over 75 (45.9% compared to 48.2%, a difference of 4.9%), and hearing disability (2.8% compared to 3.0%, a difference of 7.0%).
Burmese vs Indonesian Disability
Disability MetricBurmeseIndonesian
Disability
Exceptional
10.4%
Tragic
12.2%
Males
Exceptional
10.0%
Tragic
11.6%
Females
Exceptional
10.7%
Tragic
12.8%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.2%
Age | 5 to 17 years
Exceptional
4.8%
Tragic
5.9%
Age | 18 to 34 years
Exceptional
6.0%
Tragic
7.2%
Age | 35 to 64 years
Exceptional
9.2%
Tragic
13.2%
Age | 65 to 74 years
Exceptional
20.6%
Tragic
24.9%
Age | Over 75 years
Exceptional
45.9%
Tragic
48.2%
Vision
Exceptional
1.8%
Tragic
2.2%
Hearing
Exceptional
2.8%
Average
3.0%
Cognitive
Exceptional
16.7%
Tragic
18.7%
Ambulatory
Exceptional
5.3%
Tragic
6.3%
Self-Care
Exceptional
2.3%
Average
2.5%