Burmese vs Mongolian 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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.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
Mongolian
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

Mongolians

Exceptional
Good
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
8,008
SOCIAL INDEX
77.6/ 100
SOCIAL RATING
93rd/ 347
SOCIAL RANK

Mongolian Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 137,349,024 people shows a substantial positive correlation between the proportion of Mongolians within Burmese communities in the United States with a correlation coefficient (R) of 0.540. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.006% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 5.9 Mongolians.
Burmese Integration in Mongolian Communities

Burmese vs Mongolian Income

When considering income, the most significant differences between Burmese and Mongolian communities in the United States are seen in median household income ($103,145 compared to $93,971, a difference of 9.8%), householder income over 65 years ($71,139 compared to $65,326, a difference of 8.9%), and householder income ages 45 - 64 years ($121,444 compared to $111,602, a difference of 8.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $52,540, a difference of 4.3%), wage/income gap (28.0% compared to 26.6%, a difference of 5.2%), and median female earnings ($44,911 compared to $42,542, a difference of 5.6%).
Burmese vs Mongolian Income
Income MetricBurmeseMongolian
Per Capita Income
Exceptional
$52,005
Exceptional
$49,173
Median Family Income
Exceptional
$123,369
Exceptional
$114,553
Median Household Income
Exceptional
$103,145
Exceptional
$93,971
Median Earnings
Exceptional
$54,559
Exceptional
$51,038
Median Male Earnings
Exceptional
$65,236
Exceptional
$60,350
Median Female Earnings
Exceptional
$44,911
Exceptional
$42,542
Householder Age | Under 25 years
Exceptional
$54,800
Good
$52,540
Householder Age | 25 - 44 years
Exceptional
$113,701
Exceptional
$104,578
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$111,602
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$65,326
Wage/Income Gap
Tragic
28.0%
Poor
26.6%

Burmese vs Mongolian Poverty

When considering poverty, the most significant differences between Burmese and Mongolian communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 16.1%, a difference of 21.8%), receiving food stamps (8.6% compared to 10.5%, a difference of 20.8%), and child poverty among boys under 16 (13.0% compared to 15.4%, a difference of 18.9%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 15.3%, a difference of 1.4%), single male poverty (11.7% compared to 12.2%, a difference of 3.7%), and seniors poverty over the age of 75 (11.7% compared to 12.2%, a difference of 4.7%).
Burmese vs Mongolian Poverty
Poverty MetricBurmeseMongolian
Poverty
Exceptional
10.7%
Average
12.4%
Families
Exceptional
7.3%
Excellent
8.6%
Males
Exceptional
9.7%
Fair
11.3%
Females
Exceptional
11.6%
Average
13.4%
Females 18 to 24 years
Exceptional
18.9%
Tragic
21.6%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
12.8%
Children Under 5 years
Exceptional
13.2%
Exceptional
16.1%
Children Under 16 years
Exceptional
12.8%
Excellent
15.2%
Boys Under 16 years
Exceptional
13.0%
Exceptional
15.4%
Girls Under 16 years
Exceptional
13.0%
Excellent
15.4%
Single Males
Exceptional
11.7%
Exceptional
12.2%
Single Females
Exceptional
18.3%
Exceptional
20.2%
Single Fathers
Exceptional
15.5%
Exceptional
15.3%
Single Mothers
Exceptional
26.2%
Exceptional
27.7%
Married Couples
Exceptional
4.3%
Good
5.0%
Seniors Over 65 years
Exceptional
10.1%
Average
10.9%
Seniors Over 75 years
Excellent
11.7%
Average
12.2%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
10.5%

Burmese vs Mongolian Unemployment

When considering unemployment, the most significant differences between Burmese and Mongolian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.0% compared to 8.4%, a difference of 5.7%), unemployment among seniors over 75 years (8.2% compared to 8.6%, a difference of 5.0%), and male unemployment (4.9% compared to 5.1%, a difference of 4.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.5% compared to 6.5%, a difference of 0.10%), unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 0.12%), and unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.12%).
Burmese vs Mongolian Unemployment
Unemployment MetricBurmeseMongolian
Unemployment
Exceptional
4.9%
Exceptional
5.0%
Males
Exceptional
4.9%
Excellent
5.1%
Females
Exceptional
5.0%
Exceptional
5.0%
Youth < 25
Excellent
11.3%
Exceptional
11.1%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.9%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
6.2%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.6%
Age | 60 to 64 years
Excellent
4.8%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Exceptional
5.0%
Average
5.1%
Seniors > 75
Exceptional
8.2%
Excellent
8.6%
Women w/ Children < 6
Exceptional
6.5%
Exceptional
6.5%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
8.4%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
5.0%

Burmese vs Mongolian Labor Participation

When considering labor participation, the most significant differences between Burmese and Mongolian communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 35.3%, a difference of 2.3%), in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.42%), and in labor force | age 20-64 (80.3% compared to 79.9%, a difference of 0.40%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.3% compared to 85.3%, a difference of 0.050%), in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.070%), and in labor force | age 35-44 (84.7% compared to 84.8%, a difference of 0.16%).
Burmese vs Mongolian Labor Participation
Labor Participation MetricBurmeseMongolian
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
66.1%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
79.9%
In Labor Force | Age 16-19
Tragic
34.5%
Tragic
35.3%
In Labor Force | Age 20-24
Tragic
73.6%
Tragic
73.3%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.3%
Exceptional
85.3%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
84.8%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.3%

Burmese vs Mongolian Family Structure

When considering family structure, the most significant differences between Burmese and Mongolian communities in the United States are seen in single mother households (5.3% compared to 5.8%, a difference of 9.5%), married-couple households (49.8% compared to 46.3%, a difference of 7.5%), and births to unmarried women (26.4% compared to 27.9%, a difference of 5.9%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.20, a difference of 0.57%), single father households (2.0% compared to 2.1%, a difference of 0.92%), and divorced or separated (10.7% compared to 11.1%, a difference of 3.3%).
Burmese vs Mongolian Family Structure
Family Structure MetricBurmeseMongolian
Family Households
Exceptional
65.7%
Tragic
62.8%
Family Households with Children
Exceptional
28.5%
Good
27.6%
Married-couple Households
Exceptional
49.8%
Average
46.3%
Average Family Size
Fair
3.22
Poor
3.20
Single Father Households
Exceptional
2.0%
Exceptional
2.1%
Single Mother Households
Exceptional
5.3%
Exceptional
5.8%
Currently Married
Exceptional
48.9%
Fair
46.4%
Divorced or Separated
Exceptional
10.7%
Exceptional
11.1%
Births to Unmarried Women
Exceptional
26.4%
Exceptional
27.9%

Burmese vs Mongolian Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Mongolian communities in the United States are seen in no vehicles in household (9.7% compared to 13.1%, a difference of 35.6%), 4 or more vehicles in household (6.8% compared to 5.8%, a difference of 17.6%), and 3 or more vehicles in household (20.6% compared to 18.1%, a difference of 14.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.0%, a difference of 4.0%), 2 or more vehicles in household (57.8% compared to 52.8%, a difference of 9.4%), and 3 or more vehicles in household (20.6% compared to 18.1%, a difference of 14.0%).
Burmese vs Mongolian Vehicle Availability
Vehicle Availability MetricBurmeseMongolian
No Vehicles Available
Excellent
9.7%
Tragic
13.1%
1+ Vehicles Available
Excellent
90.4%
Tragic
87.0%
2+ Vehicles Available
Exceptional
57.8%
Tragic
52.8%
3+ Vehicles Available
Exceptional
20.6%
Tragic
18.1%
4+ Vehicles Available
Exceptional
6.8%
Tragic
5.8%

Burmese vs Mongolian Education Level

When considering education level, the most significant differences between Burmese and Mongolian communities in the United States are seen in no schooling completed (1.9% compared to 2.1%, a difference of 8.6%), doctorate degree (2.6% compared to 2.8%, a difference of 4.7%), and bachelor's degree (46.9% compared to 45.4%, a difference of 3.2%). Conversely, both communities are more comparable in terms of professional degree (6.1% compared to 6.1%, a difference of 0.13%), kindergarten (98.1% compared to 97.9%, a difference of 0.18%), and 1st grade (98.0% compared to 97.9%, a difference of 0.18%).
Burmese vs Mongolian Education Level
Education Level MetricBurmeseMongolian
No Schooling Completed
Excellent
1.9%
Average
2.1%
Nursery School
Excellent
98.1%
Fair
97.9%
Kindergarten
Excellent
98.1%
Fair
97.9%
1st Grade
Excellent
98.0%
Fair
97.9%
2nd Grade
Excellent
98.0%
Fair
97.8%
3rd Grade
Good
97.9%
Fair
97.7%
4th Grade
Excellent
97.7%
Fair
97.5%
5th Grade
Excellent
97.5%
Fair
97.3%
6th Grade
Excellent
97.3%
Average
97.0%
7th Grade
Excellent
96.3%
Average
96.0%
8th Grade
Exceptional
96.1%
Average
95.8%
9th Grade
Exceptional
95.4%
Good
95.0%
10th Grade
Exceptional
94.5%
Good
94.0%
11th Grade
Exceptional
93.6%
Excellent
93.0%
12th Grade, No Diploma
Exceptional
92.6%
Excellent
91.8%
High School Diploma
Exceptional
90.8%
Exceptional
89.9%
GED/Equivalency
Exceptional
88.3%
Exceptional
87.0%
College, Under 1 year
Exceptional
71.9%
Exceptional
69.9%
College, 1 year or more
Exceptional
66.7%
Exceptional
64.8%
Associate's Degree
Exceptional
54.6%
Exceptional
53.0%
Bachelor's Degree
Exceptional
46.9%
Exceptional
45.4%
Master's Degree
Exceptional
19.7%
Exceptional
19.4%
Professional Degree
Exceptional
6.1%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.8%

Burmese vs Mongolian Disability

When considering disability, the most significant differences between Burmese and Mongolian communities in the United States are seen in disability age 5 to 17 (4.8% compared to 5.3%, a difference of 10.2%), disability age 35 to 64 (9.2% compared to 10.1%, a difference of 9.9%), and cognitive disability (16.7% compared to 17.7%, a difference of 6.5%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 46.3%, a difference of 0.95%), disability age under 5 (1.1% compared to 1.1%, a difference of 2.1%), and hearing disability (2.8% compared to 2.7%, a difference of 2.2%).
Burmese vs Mongolian Disability
Disability MetricBurmeseMongolian
Disability
Exceptional
10.4%
Exceptional
10.8%
Males
Exceptional
10.0%
Exceptional
10.3%
Females
Exceptional
10.7%
Exceptional
11.2%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
4.8%
Exceptional
5.3%
Age | 18 to 34 years
Exceptional
6.0%
Exceptional
6.2%
Age | 35 to 64 years
Exceptional
9.2%
Exceptional
10.1%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
21.8%
Age | Over 75 years
Exceptional
45.9%
Exceptional
46.3%
Vision
Exceptional
1.8%
Exceptional
1.9%
Hearing
Exceptional
2.8%
Exceptional
2.7%
Cognitive
Exceptional
16.7%
Tragic
17.7%
Ambulatory
Exceptional
5.3%
Exceptional
5.5%
Self-Care
Exceptional
2.3%
Exceptional
2.3%