Mongolian vs Burmese Community Comparison

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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
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-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

Mongolians

Burmese

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

Burmese Integration in Mongolian Communities

The statistical analysis conducted on geographies consisting of 137,068,996 people shows a weak negative correlation between the proportion of Burmese within Mongolian communities in the United States with a correlation coefficient (R) of -0.230. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is a decrease of 0.253% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to a decrease of 252.9 Burmese.
Mongolian Integration in Burmese Communities

Mongolian vs Burmese Income

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

Mongolian vs Burmese Poverty

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

Mongolian vs Burmese Unemployment

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

Mongolian vs Burmese Labor Participation

When considering labor participation, the most significant differences between Mongolian and Burmese communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 34.5%, a difference of 2.3%), in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.42%), and in labor force | age 20-64 (79.9% compared to 80.3%, 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 (84.8% compared to 84.7%, a difference of 0.16%).
Mongolian vs Burmese Labor Participation
Labor Participation MetricMongolianBurmese
In Labor Force | Age > 16
Exceptional
66.1%
Exceptional
66.2%
In Labor Force | Age 20-64
Exceptional
79.9%
Exceptional
80.3%
In Labor Force | Age 16-19
Tragic
35.3%
Tragic
34.5%
In Labor Force | Age 20-24
Tragic
73.3%
Tragic
73.6%
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
84.8%
Exceptional
84.7%
In Labor Force | Age 45-54
Exceptional
83.3%
Exceptional
83.6%

Mongolian vs Burmese Family Structure

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

Mongolian vs Burmese Vehicle Availability

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

Mongolian vs Burmese Education Level

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

Mongolian vs Burmese Disability

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