Thai vs Bangladeshi Community Comparison

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Thai
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish 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 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
Bangladeshi
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Thais

Bangladeshis

Exceptional
Fair
10,191
SOCIAL INDEX
99.4/ 100
SOCIAL RATING
2nd/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Thai Communities

The statistical analysis conducted on geographies consisting of 135,366,198 people shows a moderate negative correlation between the proportion of Bangladeshis within Thai communities in the United States with a correlation coefficient (R) of -0.429. On average, for every 1% (one percent) increase in Thais within a typical geography, there is a decrease of 0.010% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Thais corresponds to a decrease of 9.8 Bangladeshis.
Thai Integration in Bangladeshi Communities

Thai vs Bangladeshi Income

When considering income, the most significant differences between Thai and Bangladeshi communities in the United States are seen in median male earnings ($72,135 compared to $46,744, a difference of 54.3%), per capita income ($54,307 compared to $35,897, a difference of 51.3%), and householder income ages 45 - 64 years ($129,560 compared to $86,402, a difference of 49.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($59,187 compared to $47,589, a difference of 24.4%), householder income over 65 years ($72,099 compared to $54,719, a difference of 31.8%), and median female earnings ($47,577 compared to $35,960, a difference of 32.3%).
Thai vs Bangladeshi Income
Income MetricThaiBangladeshi
Per Capita Income
Exceptional
$54,307
Tragic
$35,897
Median Family Income
Exceptional
$131,281
Tragic
$88,358
Median Household Income
Exceptional
$110,648
Tragic
$74,112
Median Earnings
Exceptional
$59,237
Tragic
$41,263
Median Male Earnings
Exceptional
$72,135
Tragic
$46,744
Median Female Earnings
Exceptional
$47,577
Tragic
$35,960
Householder Age | Under 25 years
Exceptional
$59,187
Tragic
$47,589
Householder Age | 25 - 44 years
Exceptional
$121,778
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$129,560
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$72,099
Tragic
$54,719
Wage/Income Gap
Tragic
30.5%
Exceptional
22.2%

Thai vs Bangladeshi Poverty

When considering poverty, the most significant differences between Thai and Bangladeshi communities in the United States are seen in receiving food stamps (8.1% compared to 15.0%, a difference of 85.4%), child poverty under the age of 16 (11.6% compared to 19.9%, a difference of 72.1%), and child poverty among boys under 16 (11.7% compared to 20.0%, a difference of 71.6%). Conversely, both communities are more comparable in terms of single father poverty (14.5% compared to 15.2%, a difference of 4.6%), seniors poverty over the age of 75 (10.9% compared to 12.0%, a difference of 9.6%), and seniors poverty over the age of 65 (9.2% compared to 11.2%, a difference of 21.5%).
Thai vs Bangladeshi Poverty
Poverty MetricThaiBangladeshi
Poverty
Exceptional
9.6%
Tragic
14.8%
Families
Exceptional
6.7%
Tragic
10.9%
Males
Exceptional
8.7%
Tragic
13.6%
Females
Exceptional
10.5%
Tragic
16.0%
Females 18 to 24 years
Exceptional
17.0%
Tragic
22.5%
Females 25 to 34 years
Exceptional
10.2%
Tragic
15.9%
Children Under 5 years
Exceptional
12.3%
Tragic
20.6%
Children Under 16 years
Exceptional
11.6%
Tragic
19.9%
Boys Under 16 years
Exceptional
11.7%
Tragic
20.0%
Girls Under 16 years
Exceptional
11.8%
Tragic
20.0%
Single Males
Exceptional
10.8%
Tragic
13.3%
Single Females
Exceptional
17.3%
Tragic
24.2%
Single Fathers
Exceptional
14.5%
Exceptional
15.2%
Single Mothers
Exceptional
24.5%
Tragic
31.7%
Married Couples
Exceptional
3.9%
Tragic
6.0%
Seniors Over 65 years
Exceptional
9.2%
Fair
11.2%
Seniors Over 75 years
Exceptional
10.9%
Good
12.0%
Receiving Food Stamps
Exceptional
8.1%
Tragic
15.0%

Thai vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Thai and Bangladeshi communities in the United States are seen in male unemployment (4.6% compared to 5.7%, a difference of 23.5%), unemployment among ages 35 to 44 years (3.9% compared to 4.8%, a difference of 21.0%), and unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 18.6%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.20%), unemployment among ages 60 to 64 years (4.7% compared to 4.6%, a difference of 2.0%), and unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 3.1%).
Thai vs Bangladeshi Unemployment
Unemployment MetricThaiBangladeshi
Unemployment
Exceptional
4.7%
Poor
5.4%
Males
Exceptional
4.6%
Tragic
5.7%
Females
Exceptional
4.9%
Good
5.2%
Youth < 25
Exceptional
11.0%
Average
11.6%
Age | 16 to 19 years
Exceptional
15.7%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
5.9%
Average
6.6%
Age | 30 to 34 years
Exceptional
4.7%
Good
5.3%
Age | 35 to 44 years
Exceptional
3.9%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.0%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.5%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.7%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
5.2%
Good
5.3%
Seniors > 65
Exceptional
5.0%
Fair
5.2%
Seniors > 75
Exceptional
8.3%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.3%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
7.8%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.8%
Good
5.3%

Thai vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Thai and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 42.5%, a difference of 22.9%), in labor force | age 20-24 (74.0% compared to 78.1%, a difference of 5.6%), and in labor force | age 45-54 (84.3% compared to 81.3%, a difference of 3.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.5% compared to 85.1%, a difference of 0.45%), in labor force | age 30-34 (85.2% compared to 84.3%, a difference of 1.0%), and in labor force | age 35-44 (85.2% compared to 84.1%, a difference of 1.2%).
Thai vs Bangladeshi Labor Participation
Labor Participation MetricThaiBangladeshi
In Labor Force | Age > 16
Exceptional
67.2%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.9%
Poor
79.3%
In Labor Force | Age 16-19
Tragic
34.6%
Exceptional
42.5%
In Labor Force | Age 20-24
Tragic
74.0%
Exceptional
78.1%
In Labor Force | Age 25-29
Exceptional
85.5%
Exceptional
85.1%
In Labor Force | Age 30-34
Exceptional
85.2%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Poor
84.1%
In Labor Force | Age 45-54
Exceptional
84.3%
Tragic
81.3%

Thai vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Thai and Bangladeshi communities in the United States are seen in single father households (1.9% compared to 3.1%, a difference of 59.7%), single mother households (5.2% compared to 8.1%, a difference of 55.7%), and births to unmarried women (24.0% compared to 34.4%, a difference of 43.2%). Conversely, both communities are more comparable in terms of family households with children (30.6% compared to 30.1%, a difference of 1.8%), family households (67.2% compared to 64.3%, a difference of 4.5%), and average family size (3.22 compared to 3.37, a difference of 4.5%).
Thai vs Bangladeshi Family Structure
Family Structure MetricThaiBangladeshi
Family Households
Exceptional
67.2%
Average
64.3%
Family Households with Children
Exceptional
30.6%
Exceptional
30.1%
Married-couple Households
Exceptional
51.9%
Tragic
43.5%
Average Family Size
Fair
3.22
Exceptional
3.37
Single Father Households
Exceptional
1.9%
Tragic
3.1%
Single Mother Households
Exceptional
5.2%
Tragic
8.1%
Currently Married
Exceptional
50.9%
Tragic
43.7%
Divorced or Separated
Exceptional
10.2%
Poor
12.3%
Births to Unmarried Women
Exceptional
24.0%
Tragic
34.4%

Thai vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Thai and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 7.6%, a difference of 21.0%), 3 or more vehicles in household (19.8% compared to 21.9%, a difference of 10.3%), and no vehicles in household (8.2% compared to 8.7%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 91.4%, a difference of 0.54%), 2 or more vehicles in household (57.9% compared to 58.4%, a difference of 0.84%), and no vehicles in household (8.2% compared to 8.7%, a difference of 5.9%).
Thai vs Bangladeshi Vehicle Availability
Vehicle Availability MetricThaiBangladeshi
No Vehicles Available
Exceptional
8.2%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
91.9%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
57.9%
Exceptional
58.4%
3+ Vehicles Available
Good
19.8%
Exceptional
21.9%
4+ Vehicles Available
Fair
6.2%
Exceptional
7.6%

Thai vs Bangladeshi Education Level

When considering education level, the most significant differences between Thai and Bangladeshi communities in the United States are seen in doctorate degree (2.8% compared to 1.2%, a difference of 128.3%), master's degree (21.7% compared to 10.5%, a difference of 107.2%), and professional degree (6.1% compared to 3.1%, a difference of 98.9%). Conversely, both communities are more comparable in terms of kindergarten (98.2% compared to 96.6%, a difference of 1.7%), nursery school (98.2% compared to 96.6%, a difference of 1.7%), and 1st grade (98.1% compared to 96.5%, a difference of 1.7%).
Thai vs Bangladeshi Education Level
Education Level MetricThaiBangladeshi
No Schooling Completed
Exceptional
1.8%
Tragic
3.5%
Nursery School
Exceptional
98.2%
Tragic
96.6%
Kindergarten
Exceptional
98.2%
Tragic
96.6%
1st Grade
Exceptional
98.1%
Tragic
96.5%
2nd Grade
Exceptional
98.1%
Tragic
96.5%
3rd Grade
Exceptional
98.0%
Tragic
96.3%
4th Grade
Exceptional
97.8%
Tragic
96.1%
5th Grade
Exceptional
97.7%
Tragic
95.9%
6th Grade
Exceptional
97.4%
Tragic
95.7%
7th Grade
Exceptional
96.7%
Tragic
94.5%
8th Grade
Exceptional
96.4%
Tragic
94.3%
9th Grade
Exceptional
95.8%
Tragic
93.4%
10th Grade
Exceptional
95.0%
Tragic
92.2%
11th Grade
Exceptional
94.1%
Tragic
90.9%
12th Grade, No Diploma
Exceptional
93.2%
Tragic
89.3%
High School Diploma
Exceptional
91.5%
Tragic
86.9%
GED/Equivalency
Exceptional
89.1%
Tragic
83.1%
College, Under 1 year
Exceptional
73.4%
Tragic
61.4%
College, 1 year or more
Exceptional
68.6%
Tragic
54.5%
Associate's Degree
Exceptional
57.4%
Tragic
40.0%
Bachelor's Degree
Exceptional
50.1%
Tragic
30.2%
Master's Degree
Exceptional
21.7%
Tragic
10.5%
Professional Degree
Exceptional
6.1%
Tragic
3.1%
Doctorate Degree
Exceptional
2.8%
Tragic
1.2%

Thai vs Bangladeshi Disability

When considering disability, the most significant differences between Thai and Bangladeshi communities in the United States are seen in disability age 35 to 64 (8.6% compared to 13.6%, a difference of 58.9%), self-care disability (2.1% compared to 2.8%, a difference of 35.4%), and vision disability (1.7% compared to 2.3%, a difference of 35.0%). Conversely, both communities are more comparable in terms of disability age over 75 (45.4% compared to 49.4%, a difference of 8.9%), cognitive disability (16.1% compared to 18.6%, a difference of 15.5%), and disability age under 5 (1.1% compared to 1.3%, a difference of 21.5%).
Thai vs Bangladeshi Disability
Disability MetricThaiBangladeshi
Disability
Exceptional
9.7%
Tragic
12.6%
Males
Exceptional
9.2%
Tragic
12.0%
Females
Exceptional
10.2%
Tragic
13.1%
Age | Under 5 years
Exceptional
1.1%
Poor
1.3%
Age | 5 to 17 years
Exceptional
4.7%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
8.6%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
20.1%
Tragic
26.8%
Age | Over 75 years
Exceptional
45.4%
Tragic
49.4%
Vision
Exceptional
1.7%
Tragic
2.3%
Hearing
Exceptional
2.5%
Tragic
3.2%
Cognitive
Exceptional
16.1%
Tragic
18.6%
Ambulatory
Exceptional
4.9%
Poor
6.3%
Self-Care
Exceptional
2.1%
Tragic
2.8%