Tongan vs Bangladeshi Community Comparison

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Tongan
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 AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTrinidadian 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

Tongans

Bangladeshis

Good
Fair
7,132
SOCIAL INDEX
68.8/ 100
SOCIAL RATING
130th/ 347
SOCIAL RANK
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK

Bangladeshi Integration in Tongan Communities

The statistical analysis conducted on geographies consisting of 65,349,540 people shows a poor negative correlation between the proportion of Bangladeshis within Tongan communities in the United States with a correlation coefficient (R) of -0.142. On average, for every 1% (one percent) increase in Tongans within a typical geography, there is a decrease of 0.231% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tongans corresponds to a decrease of 230.9 Bangladeshis.
Tongan Integration in Bangladeshi Communities

Tongan vs Bangladeshi Income

When considering income, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in householder income ages 45 - 64 years ($108,643 compared to $86,402, a difference of 25.7%), median household income ($93,076 compared to $74,112, a difference of 25.6%), and householder income over 65 years ($68,235 compared to $54,719, a difference of 24.7%). Conversely, both communities are more comparable in terms of median female earnings ($38,288 compared to $35,960, a difference of 6.5%), median earnings ($45,665 compared to $41,263, a difference of 10.7%), and median male earnings ($53,218 compared to $46,744, a difference of 13.9%).
Tongan vs Bangladeshi Income
Income MetricTonganBangladeshi
Per Capita Income
Tragic
$41,693
Tragic
$35,897
Median Family Income
Excellent
$105,967
Tragic
$88,358
Median Household Income
Exceptional
$93,076
Tragic
$74,112
Median Earnings
Fair
$45,665
Tragic
$41,263
Median Male Earnings
Fair
$53,218
Tragic
$46,744
Median Female Earnings
Tragic
$38,288
Tragic
$35,960
Householder Age | Under 25 years
Exceptional
$56,972
Tragic
$47,589
Householder Age | 25 - 44 years
Exceptional
$99,604
Tragic
$81,363
Householder Age | 45 - 64 years
Exceptional
$108,643
Tragic
$86,402
Householder Age | Over 65 years
Exceptional
$68,235
Tragic
$54,719
Wage/Income Gap
Tragic
27.5%
Exceptional
22.2%

Tongan vs Bangladeshi Poverty

When considering poverty, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in receiving food stamps (9.7% compared to 15.0%, a difference of 55.3%), child poverty among boys under 16 (13.4% compared to 20.0%, a difference of 50.0%), and child poverty under the age of 16 (13.4% compared to 19.9%, a difference of 48.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.5% compared to 12.0%, a difference of 14.2%), single mother poverty (26.5% compared to 31.7%, a difference of 19.5%), and seniors poverty over the age of 65 (9.3% compared to 11.2%, a difference of 20.2%).
Tongan vs Bangladeshi Poverty
Poverty MetricTonganBangladeshi
Poverty
Exceptional
10.8%
Tragic
14.8%
Families
Exceptional
7.7%
Tragic
10.9%
Males
Exceptional
9.7%
Tragic
13.6%
Females
Exceptional
11.9%
Tragic
16.0%
Females 18 to 24 years
Exceptional
17.1%
Tragic
22.5%
Females 25 to 34 years
Exceptional
11.5%
Tragic
15.9%
Children Under 5 years
Exceptional
14.2%
Tragic
20.6%
Children Under 16 years
Exceptional
13.4%
Tragic
19.9%
Boys Under 16 years
Exceptional
13.4%
Tragic
20.0%
Girls Under 16 years
Exceptional
13.6%
Tragic
20.0%
Single Males
Exceptional
10.5%
Tragic
13.3%
Single Females
Exceptional
18.8%
Tragic
24.2%
Single Fathers
Exceptional
12.2%
Exceptional
15.2%
Single Mothers
Exceptional
26.5%
Tragic
31.7%
Married Couples
Exceptional
4.7%
Tragic
6.0%
Seniors Over 65 years
Exceptional
9.3%
Fair
11.2%
Seniors Over 75 years
Exceptional
10.5%
Good
12.0%
Receiving Food Stamps
Exceptional
9.7%
Tragic
15.0%

Tongan vs Bangladeshi Unemployment

When considering unemployment, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in unemployment among ages 25 to 29 years (5.5% compared to 6.6%, a difference of 20.4%), male unemployment (4.8% compared to 5.7%, a difference of 18.9%), and unemployment among ages 35 to 44 years (4.2% compared to 4.8%, a difference of 14.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 1.3%), unemployment among youth under 25 years (10.9% compared to 11.6%, a difference of 5.8%), and unemployment among ages 20 to 24 years (9.4% compared to 10.0%, a difference of 6.1%).
Tongan vs Bangladeshi Unemployment
Unemployment MetricTonganBangladeshi
Unemployment
Exceptional
4.8%
Poor
5.4%
Males
Exceptional
4.8%
Tragic
5.7%
Females
Exceptional
4.8%
Good
5.2%
Youth < 25
Exceptional
10.9%
Average
11.6%
Age | 16 to 19 years
Exceptional
15.9%
Exceptional
16.9%
Age | 20 to 24 years
Exceptional
9.4%
Exceptional
10.0%
Age | 25 to 29 years
Exceptional
5.5%
Average
6.6%
Age | 30 to 34 years
Exceptional
4.8%
Good
5.3%
Age | 35 to 44 years
Exceptional
4.2%
Fair
4.8%
Age | 45 to 54 years
Exceptional
4.1%
Average
4.5%
Age | 55 to 59 years
Exceptional
4.3%
Exceptional
4.7%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
4.7%
Good
5.3%
Seniors > 65
Exceptional
4.7%
Fair
5.2%
Seniors > 75
Tragic
10.4%
Tragic
9.6%
Women w/ Children < 6
Exceptional
6.9%
Good
7.5%
Women w/ Children 6 to 17
Exceptional
6.7%
Exceptional
7.4%
Women w/ Children < 18
Exceptional
4.7%
Good
5.3%

Tongan vs Bangladeshi Labor Participation

When considering labor participation, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (41.2% compared to 42.5%, a difference of 3.1%), in labor force | age > 16 (67.5% compared to 65.9%, a difference of 2.4%), and in labor force | age 45-54 (83.1% compared to 81.3%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.9% compared to 78.1%, a difference of 0.27%), in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.49%), and in labor force | age 35-44 (83.6% compared to 84.1%, a difference of 0.60%).
Tongan vs Bangladeshi Labor Participation
Labor Participation MetricTonganBangladeshi
In Labor Force | Age > 16
Exceptional
67.5%
Exceptional
65.9%
In Labor Force | Age 20-64
Exceptional
80.3%
Poor
79.3%
In Labor Force | Age 16-19
Exceptional
41.2%
Exceptional
42.5%
In Labor Force | Age 20-24
Exceptional
77.9%
Exceptional
78.1%
In Labor Force | Age 25-29
Average
84.7%
Exceptional
85.1%
In Labor Force | Age 30-34
Tragic
83.5%
Tragic
84.3%
In Labor Force | Age 35-44
Tragic
83.6%
Poor
84.1%
In Labor Force | Age 45-54
Excellent
83.1%
Tragic
81.3%

Tongan vs Bangladeshi Family Structure

When considering family structure, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in single mother households (5.8% compared to 8.1%, a difference of 39.3%), single father households (2.5% compared to 3.1%, a difference of 21.9%), and births to unmarried women (28.4% compared to 34.4%, a difference of 21.2%). Conversely, both communities are more comparable in terms of average family size (3.49 compared to 3.37, a difference of 3.7%), family households with children (31.2% compared to 30.1%, a difference of 3.8%), and family households (69.6% compared to 64.3%, a difference of 8.4%).
Tongan vs Bangladeshi Family Structure
Family Structure MetricTonganBangladeshi
Family Households
Exceptional
69.6%
Average
64.3%
Family Households with Children
Exceptional
31.2%
Exceptional
30.1%
Married-couple Households
Exceptional
51.6%
Tragic
43.5%
Average Family Size
Exceptional
3.49
Exceptional
3.37
Single Father Households
Tragic
2.5%
Tragic
3.1%
Single Mother Households
Exceptional
5.8%
Tragic
8.1%
Currently Married
Exceptional
48.3%
Tragic
43.7%
Divorced or Separated
Exceptional
11.1%
Poor
12.3%
Births to Unmarried Women
Exceptional
28.4%
Tragic
34.4%

Tongan vs Bangladeshi Vehicle Availability

When considering vehicle availability, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (10.0% compared to 7.6%, a difference of 33.0%), 3 or more vehicles in household (26.5% compared to 21.9%, a difference of 21.4%), and no vehicles in household (7.2% compared to 8.7%, a difference of 20.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.9% compared to 91.4%, a difference of 1.6%), 2 or more vehicles in household (63.5% compared to 58.4%, a difference of 8.7%), and no vehicles in household (7.2% compared to 8.7%, a difference of 20.8%).
Tongan vs Bangladeshi Vehicle Availability
Vehicle Availability MetricTonganBangladeshi
No Vehicles Available
Exceptional
7.2%
Exceptional
8.7%
1+ Vehicles Available
Exceptional
92.9%
Exceptional
91.4%
2+ Vehicles Available
Exceptional
63.5%
Exceptional
58.4%
3+ Vehicles Available
Exceptional
26.5%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
10.0%
Exceptional
7.6%

Tongan vs Bangladeshi Education Level

When considering education level, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in no schooling completed (2.3% compared to 3.5%, a difference of 55.6%), doctorate degree (1.7% compared to 1.2%, a difference of 42.2%), and professional degree (3.7% compared to 3.1%, a difference of 20.3%). Conversely, both communities are more comparable in terms of 8th grade (95.1% compared to 94.3%, a difference of 0.91%), 7th grade (95.4% compared to 94.5%, a difference of 0.93%), and 9th grade (94.4% compared to 93.4%, a difference of 1.0%).
Tongan vs Bangladeshi Education Level
Education Level MetricTonganBangladeshi
No Schooling Completed
Tragic
2.3%
Tragic
3.5%
Nursery School
Tragic
97.8%
Tragic
96.6%
Kindergarten
Tragic
97.7%
Tragic
96.6%
1st Grade
Tragic
97.7%
Tragic
96.5%
2nd Grade
Tragic
97.6%
Tragic
96.5%
3rd Grade
Tragic
97.5%
Tragic
96.3%
4th Grade
Tragic
97.3%
Tragic
96.1%
5th Grade
Tragic
97.0%
Tragic
95.9%
6th Grade
Tragic
96.7%
Tragic
95.7%
7th Grade
Tragic
95.4%
Tragic
94.5%
8th Grade
Tragic
95.1%
Tragic
94.3%
9th Grade
Tragic
94.4%
Tragic
93.4%
10th Grade
Tragic
93.3%
Tragic
92.2%
11th Grade
Poor
92.2%
Tragic
90.9%
12th Grade, No Diploma
Poor
90.7%
Tragic
89.3%
High School Diploma
Tragic
88.4%
Tragic
86.9%
GED/Equivalency
Fair
85.2%
Tragic
83.1%
College, Under 1 year
Fair
64.5%
Tragic
61.4%
College, 1 year or more
Poor
57.8%
Tragic
54.5%
Associate's Degree
Tragic
43.0%
Tragic
40.0%
Bachelor's Degree
Tragic
34.3%
Tragic
30.2%
Master's Degree
Tragic
12.5%
Tragic
10.5%
Professional Degree
Tragic
3.7%
Tragic
3.1%
Doctorate Degree
Poor
1.7%
Tragic
1.2%

Tongan vs Bangladeshi Disability

When considering disability, the most significant differences between Tongan and Bangladeshi communities in the United States are seen in disability age 35 to 64 (10.5% compared to 13.6%, a difference of 29.7%), self-care disability (2.2% compared to 2.8%, a difference of 26.8%), and vision disability (2.0% compared to 2.3%, a difference of 18.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.3% compared to 49.4%, a difference of 2.2%), disability age under 5 (1.3% compared to 1.3%, a difference of 3.1%), and cognitive disability (17.8% compared to 18.6%, a difference of 4.8%).
Tongan vs Bangladeshi Disability
Disability MetricTonganBangladeshi
Disability
Exceptional
10.8%
Tragic
12.6%
Males
Exceptional
10.4%
Tragic
12.0%
Females
Exceptional
11.3%
Tragic
13.1%
Age | Under 5 years
Tragic
1.3%
Poor
1.3%
Age | 5 to 17 years
Exceptional
5.0%
Tragic
5.8%
Age | 18 to 34 years
Excellent
6.4%
Tragic
7.4%
Age | 35 to 64 years
Exceptional
10.5%
Tragic
13.6%
Age | 65 to 74 years
Fair
23.8%
Tragic
26.8%
Age | Over 75 years
Tragic
48.3%
Tragic
49.4%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Good
2.9%
Tragic
3.2%
Cognitive
Tragic
17.8%
Tragic
18.6%
Ambulatory
Exceptional
5.4%
Poor
6.3%
Self-Care
Exceptional
2.2%
Tragic
2.8%