Burmese vs Thai 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 IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseTlingit-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
Thai
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

Thais

Exceptional
Exceptional
10,002
SOCIAL INDEX
97.5/ 100
SOCIAL RATING
4th/ 347
SOCIAL RANK
10,191
SOCIAL INDEX
99.4/ 100
SOCIAL RATING
2nd/ 347
SOCIAL RANK

Thai Integration in Burmese Communities

The statistical analysis conducted on geographies consisting of 426,944,592 people shows a mild negative correlation between the proportion of Thais within Burmese communities in the United States with a correlation coefficient (R) of -0.320. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.063% in Thais. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 63.4 Thais.
Burmese Integration in Thai Communities

Burmese vs Thai Income

When considering income, the most significant differences between Burmese and Thai communities in the United States are seen in median male earnings ($65,236 compared to $72,135, a difference of 10.6%), wage/income gap (28.0% compared to 30.5%, a difference of 8.7%), and median earnings ($54,559 compared to $59,237, a difference of 8.6%). Conversely, both communities are more comparable in terms of householder income over 65 years ($71,139 compared to $72,099, a difference of 1.3%), per capita income ($52,005 compared to $54,307, a difference of 4.4%), and median female earnings ($44,911 compared to $47,577, a difference of 5.9%).
Burmese vs Thai Income
Income MetricBurmeseThai
Per Capita Income
Exceptional
$52,005
Exceptional
$54,307
Median Family Income
Exceptional
$123,369
Exceptional
$131,281
Median Household Income
Exceptional
$103,145
Exceptional
$110,648
Median Earnings
Exceptional
$54,559
Exceptional
$59,237
Median Male Earnings
Exceptional
$65,236
Exceptional
$72,135
Median Female Earnings
Exceptional
$44,911
Exceptional
$47,577
Householder Age | Under 25 years
Exceptional
$54,800
Exceptional
$59,187
Householder Age | 25 - 44 years
Exceptional
$113,701
Exceptional
$121,778
Householder Age | 45 - 64 years
Exceptional
$121,444
Exceptional
$129,560
Householder Age | Over 65 years
Exceptional
$71,139
Exceptional
$72,099
Wage/Income Gap
Tragic
28.0%
Tragic
30.5%

Burmese vs Thai Poverty

When considering poverty, the most significant differences between Burmese and Thai communities in the United States are seen in male poverty (9.7% compared to 8.7%, a difference of 11.4%), female poverty among 18-24 year olds (18.9% compared to 17.0%, a difference of 11.4%), and poverty (10.7% compared to 9.6%, a difference of 11.3%). Conversely, both communities are more comparable in terms of single female poverty (18.3% compared to 17.3%, a difference of 5.8%), single father poverty (15.5% compared to 14.5%, a difference of 6.5%), and receiving food stamps (8.6% compared to 8.1%, a difference of 6.6%).
Burmese vs Thai Poverty
Poverty MetricBurmeseThai
Poverty
Exceptional
10.7%
Exceptional
9.6%
Families
Exceptional
7.3%
Exceptional
6.7%
Males
Exceptional
9.7%
Exceptional
8.7%
Females
Exceptional
11.6%
Exceptional
10.5%
Females 18 to 24 years
Exceptional
18.9%
Exceptional
17.0%
Females 25 to 34 years
Exceptional
11.2%
Exceptional
10.2%
Children Under 5 years
Exceptional
13.2%
Exceptional
12.3%
Children Under 16 years
Exceptional
12.8%
Exceptional
11.6%
Boys Under 16 years
Exceptional
13.0%
Exceptional
11.7%
Girls Under 16 years
Exceptional
13.0%
Exceptional
11.8%
Single Males
Exceptional
11.7%
Exceptional
10.8%
Single Females
Exceptional
18.3%
Exceptional
17.3%
Single Fathers
Exceptional
15.5%
Exceptional
14.5%
Single Mothers
Exceptional
26.2%
Exceptional
24.5%
Married Couples
Exceptional
4.3%
Exceptional
3.9%
Seniors Over 65 years
Exceptional
10.1%
Exceptional
9.2%
Seniors Over 75 years
Excellent
11.7%
Exceptional
10.9%
Receiving Food Stamps
Exceptional
8.6%
Exceptional
8.1%

Burmese vs Thai Unemployment

When considering unemployment, the most significant differences between Burmese and Thai communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 3.9%, a difference of 9.6%), unemployment among ages 30 to 34 years (5.1% compared to 4.7%, a difference of 9.0%), and unemployment among ages 16 to 19 years (17.0% compared to 15.7%, a difference of 7.8%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.84%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 1.1%), and unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 1.4%).
Burmese vs Thai Unemployment
Unemployment MetricBurmeseThai
Unemployment
Exceptional
4.9%
Exceptional
4.7%
Males
Exceptional
4.9%
Exceptional
4.6%
Females
Exceptional
5.0%
Exceptional
4.9%
Youth < 25
Excellent
11.3%
Exceptional
11.0%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
15.7%
Age | 20 to 24 years
Excellent
10.2%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
5.9%
Age | 30 to 34 years
Exceptional
5.1%
Exceptional
4.7%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
3.9%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.0%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.5%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.7%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
5.2%
Seniors > 65
Exceptional
5.0%
Exceptional
5.0%
Seniors > 75
Exceptional
8.2%
Exceptional
8.3%
Women w/ Children < 6
Exceptional
6.5%
Exceptional
6.3%
Women w/ Children 6 to 17
Exceptional
8.0%
Exceptional
7.8%
Women w/ Children < 18
Exceptional
4.9%
Exceptional
4.8%

Burmese vs Thai Labor Participation

When considering labor participation, the most significant differences between Burmese and Thai communities in the United States are seen in in labor force | age > 16 (66.2% compared to 67.2%, a difference of 1.5%), in labor force | age 45-54 (83.6% compared to 84.3%, a difference of 0.84%), and in labor force | age 20-64 (80.3% compared to 80.9%, a difference of 0.80%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.3% compared to 85.2%, a difference of 0.050%), in labor force | age 16-19 (34.5% compared to 34.6%, a difference of 0.19%), and in labor force | age 25-29 (85.1% compared to 85.5%, a difference of 0.38%).
Burmese vs Thai Labor Participation
Labor Participation MetricBurmeseThai
In Labor Force | Age > 16
Exceptional
66.2%
Exceptional
67.2%
In Labor Force | Age 20-64
Exceptional
80.3%
Exceptional
80.9%
In Labor Force | Age 16-19
Tragic
34.5%
Tragic
34.6%
In Labor Force | Age 20-24
Tragic
73.6%
Tragic
74.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.5%
In Labor Force | Age 30-34
Exceptional
85.3%
Exceptional
85.2%
In Labor Force | Age 35-44
Exceptional
84.7%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
84.3%

Burmese vs Thai Family Structure

When considering family structure, the most significant differences between Burmese and Thai communities in the United States are seen in births to unmarried women (26.4% compared to 24.0%, a difference of 9.7%), family households with children (28.5% compared to 30.6%, a difference of 7.5%), and single father households (2.0% compared to 1.9%, a difference of 5.7%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.22, a difference of 0.15%), single mother households (5.3% compared to 5.2%, a difference of 1.2%), and family households (65.7% compared to 67.2%, a difference of 2.2%).
Burmese vs Thai Family Structure
Family Structure MetricBurmeseThai
Family Households
Exceptional
65.7%
Exceptional
67.2%
Family Households with Children
Exceptional
28.5%
Exceptional
30.6%
Married-couple Households
Exceptional
49.8%
Exceptional
51.9%
Average Family Size
Fair
3.22
Fair
3.22
Single Father Households
Exceptional
2.0%
Exceptional
1.9%
Single Mother Households
Exceptional
5.3%
Exceptional
5.2%
Currently Married
Exceptional
48.9%
Exceptional
50.9%
Divorced or Separated
Exceptional
10.7%
Exceptional
10.2%
Births to Unmarried Women
Exceptional
26.4%
Exceptional
24.0%

Burmese vs Thai Vehicle Availability

When considering vehicle availability, the most significant differences between Burmese and Thai communities in the United States are seen in no vehicles in household (9.7% compared to 8.2%, a difference of 18.2%), 4 or more vehicles in household (6.8% compared to 6.2%, a difference of 9.3%), and 3 or more vehicles in household (20.6% compared to 19.8%, a difference of 4.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 57.9%, a difference of 0.25%), 1 or more vehicles in household (90.4% compared to 91.9%, a difference of 1.6%), and 3 or more vehicles in household (20.6% compared to 19.8%, a difference of 4.1%).
Burmese vs Thai Vehicle Availability
Vehicle Availability MetricBurmeseThai
No Vehicles Available
Excellent
9.7%
Exceptional
8.2%
1+ Vehicles Available
Excellent
90.4%
Exceptional
91.9%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
57.9%
3+ Vehicles Available
Exceptional
20.6%
Good
19.8%
4+ Vehicles Available
Exceptional
6.8%
Fair
6.2%

Burmese vs Thai Education Level

When considering education level, the most significant differences between Burmese and Thai communities in the United States are seen in master's degree (19.7% compared to 21.7%, a difference of 10.2%), bachelor's degree (46.9% compared to 50.1%, a difference of 6.9%), and no schooling completed (1.9% compared to 1.8%, a difference of 6.4%). Conversely, both communities are more comparable in terms of professional degree (6.1% compared to 6.1%, a difference of 0.030%), nursery school (98.1% compared to 98.2%, a difference of 0.11%), and kindergarten (98.1% compared to 98.2%, a difference of 0.11%).
Burmese vs Thai Education Level
Education Level MetricBurmeseThai
No Schooling Completed
Excellent
1.9%
Exceptional
1.8%
Nursery School
Excellent
98.1%
Exceptional
98.2%
Kindergarten
Excellent
98.1%
Exceptional
98.2%
1st Grade
Excellent
98.0%
Exceptional
98.1%
2nd Grade
Excellent
98.0%
Exceptional
98.1%
3rd Grade
Good
97.9%
Exceptional
98.0%
4th Grade
Excellent
97.7%
Exceptional
97.8%
5th Grade
Excellent
97.5%
Exceptional
97.7%
6th Grade
Excellent
97.3%
Exceptional
97.4%
7th Grade
Excellent
96.3%
Exceptional
96.7%
8th Grade
Exceptional
96.1%
Exceptional
96.4%
9th Grade
Exceptional
95.4%
Exceptional
95.8%
10th Grade
Exceptional
94.5%
Exceptional
95.0%
11th Grade
Exceptional
93.6%
Exceptional
94.1%
12th Grade, No Diploma
Exceptional
92.6%
Exceptional
93.2%
High School Diploma
Exceptional
90.8%
Exceptional
91.5%
GED/Equivalency
Exceptional
88.3%
Exceptional
89.1%
College, Under 1 year
Exceptional
71.9%
Exceptional
73.4%
College, 1 year or more
Exceptional
66.7%
Exceptional
68.6%
Associate's Degree
Exceptional
54.6%
Exceptional
57.4%
Bachelor's Degree
Exceptional
46.9%
Exceptional
50.1%
Master's Degree
Exceptional
19.7%
Exceptional
21.7%
Professional Degree
Exceptional
6.1%
Exceptional
6.1%
Doctorate Degree
Exceptional
2.6%
Exceptional
2.8%

Burmese vs Thai Disability

When considering disability, the most significant differences between Burmese and Thai communities in the United States are seen in hearing disability (2.8% compared to 2.5%, a difference of 9.9%), self-care disability (2.3% compared to 2.1%, a difference of 8.6%), and male disability (10.0% compared to 9.2%, a difference of 8.1%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 45.4%, a difference of 1.1%), disability age 5 to 17 (4.8% compared to 4.7%, a difference of 2.7%), and disability age 65 to 74 (20.6% compared to 20.1%, a difference of 2.7%).
Burmese vs Thai Disability
Disability MetricBurmeseThai
Disability
Exceptional
10.4%
Exceptional
9.7%
Males
Exceptional
10.0%
Exceptional
9.2%
Females
Exceptional
10.7%
Exceptional
10.2%
Age | Under 5 years
Exceptional
1.1%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
4.8%
Exceptional
4.7%
Age | 18 to 34 years
Exceptional
6.0%
Exceptional
5.6%
Age | 35 to 64 years
Exceptional
9.2%
Exceptional
8.6%
Age | 65 to 74 years
Exceptional
20.6%
Exceptional
20.1%
Age | Over 75 years
Exceptional
45.9%
Exceptional
45.4%
Vision
Exceptional
1.8%
Exceptional
1.7%
Hearing
Exceptional
2.8%
Exceptional
2.5%
Cognitive
Exceptional
16.7%
Exceptional
16.1%
Ambulatory
Exceptional
5.3%
Exceptional
4.9%
Self-Care
Exceptional
2.3%
Exceptional
2.1%