Bangladeshi vs Okinawan Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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
Okinawan
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Bangladeshis

Okinawans

Fair
Excellent
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
8,907
SOCIAL INDEX
86.5/ 100
SOCIAL RATING
39th/ 347
SOCIAL RANK

Okinawan Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 50,851,612 people shows a weak negative correlation between the proportion of Okinawans within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.245. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.011% in Okinawans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 10.7 Okinawans.
Bangladeshi Integration in Okinawan Communities

Bangladeshi vs Okinawan Income

When considering income, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in per capita income ($35,897 compared to $55,817, a difference of 55.5%), median family income ($88,358 compared to $129,979, a difference of 47.1%), and householder income ages 25 - 44 years ($81,363 compared to $119,349, a difference of 46.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $54,701, a difference of 14.9%), wage/income gap (22.2% compared to 28.1%, a difference of 26.9%), and householder income over 65 years ($54,719 compared to $70,846, a difference of 29.5%).
Bangladeshi vs Okinawan Income
Income MetricBangladeshiOkinawan
Per Capita Income
Tragic
$35,897
Exceptional
$55,817
Median Family Income
Tragic
$88,358
Exceptional
$129,979
Median Household Income
Tragic
$74,112
Exceptional
$106,624
Median Earnings
Tragic
$41,263
Exceptional
$57,550
Median Male Earnings
Tragic
$46,744
Exceptional
$67,232
Median Female Earnings
Tragic
$35,960
Exceptional
$46,905
Householder Age | Under 25 years
Tragic
$47,589
Exceptional
$54,701
Householder Age | 25 - 44 years
Tragic
$81,363
Exceptional
$119,349
Householder Age | 45 - 64 years
Tragic
$86,402
Exceptional
$124,796
Householder Age | Over 65 years
Tragic
$54,719
Exceptional
$70,846
Wage/Income Gap
Exceptional
22.2%
Tragic
28.1%

Bangladeshi vs Okinawan Poverty

When considering poverty, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in receiving food stamps (15.0% compared to 8.9%, a difference of 69.6%), child poverty among girls under 16 (20.0% compared to 13.0%, a difference of 53.7%), and child poverty under the age of 5 (20.6% compared to 13.4%, a difference of 53.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 12.1%, a difference of 1.3%), single father poverty (15.2% compared to 14.6%, a difference of 3.7%), and single male poverty (13.3% compared to 12.6%, a difference of 5.9%).
Bangladeshi vs Okinawan Poverty
Poverty MetricBangladeshiOkinawan
Poverty
Tragic
14.8%
Exceptional
11.6%
Families
Tragic
10.9%
Exceptional
7.7%
Males
Tragic
13.6%
Excellent
10.7%
Females
Tragic
16.0%
Exceptional
12.4%
Females 18 to 24 years
Tragic
22.5%
Tragic
20.8%
Females 25 to 34 years
Tragic
15.9%
Exceptional
11.3%
Children Under 5 years
Tragic
20.6%
Exceptional
13.4%
Children Under 16 years
Tragic
19.9%
Exceptional
13.1%
Boys Under 16 years
Tragic
20.0%
Exceptional
13.5%
Girls Under 16 years
Tragic
20.0%
Exceptional
13.0%
Single Males
Tragic
13.3%
Good
12.6%
Single Females
Tragic
24.2%
Exceptional
18.8%
Single Fathers
Exceptional
15.2%
Exceptional
14.6%
Single Mothers
Tragic
31.7%
Exceptional
26.6%
Married Couples
Tragic
6.0%
Exceptional
4.4%
Seniors Over 65 years
Fair
11.2%
Exceptional
10.4%
Seniors Over 75 years
Good
12.0%
Average
12.1%
Receiving Food Stamps
Tragic
15.0%
Exceptional
8.9%

Bangladeshi vs Okinawan Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 5.8%, a difference of 28.6%), unemployment among ages 25 to 29 years (6.6% compared to 5.9%, a difference of 13.5%), and unemployment among women with children under 18 years (5.3% compared to 4.7%, a difference of 13.1%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.6% compared to 11.6%, a difference of 0.13%), unemployment among ages 16 to 19 years (16.9% compared to 16.6%, a difference of 1.7%), and unemployment among ages 60 to 64 years (4.6% compared to 4.7%, a difference of 1.8%).
Bangladeshi vs Okinawan Unemployment
Unemployment MetricBangladeshiOkinawan
Unemployment
Poor
5.4%
Exceptional
4.9%
Males
Tragic
5.7%
Exceptional
5.1%
Females
Good
5.2%
Exceptional
4.9%
Youth < 25
Average
11.6%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.6%
Age | 20 to 24 years
Exceptional
10.0%
Fair
10.3%
Age | 25 to 29 years
Average
6.6%
Exceptional
5.9%
Age | 30 to 34 years
Good
5.3%
Exceptional
4.8%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.4%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.7%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.2%
Seniors > 65
Fair
5.2%
Exceptional
5.0%
Seniors > 75
Tragic
9.6%
Fair
8.8%
Women w/ Children < 6
Good
7.5%
Exceptional
5.8%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
7.0%
Women w/ Children < 18
Good
5.3%
Exceptional
4.7%

Bangladeshi vs Okinawan Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 32.8%, a difference of 29.4%), in labor force | age 20-24 (78.1% compared to 72.7%, a difference of 7.4%), and in labor force | age 45-54 (81.3% compared to 83.0%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.9% compared to 65.9%, a difference of 0.060%), in labor force | age 25-29 (85.1% compared to 85.2%, a difference of 0.13%), and in labor force | age 30-34 (84.3% compared to 84.6%, a difference of 0.36%).
Bangladeshi vs Okinawan Labor Participation
Labor Participation MetricBangladeshiOkinawan
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
65.9%
In Labor Force | Age 20-64
Poor
79.3%
Good
79.6%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
32.8%
In Labor Force | Age 20-24
Exceptional
78.1%
Tragic
72.7%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.2%
In Labor Force | Age 30-34
Tragic
84.3%
Average
84.6%
In Labor Force | Age 35-44
Poor
84.1%
Good
84.5%
In Labor Force | Age 45-54
Tragic
81.3%
Good
83.0%

Bangladeshi vs Okinawan Family Structure

When considering family structure, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in single father households (3.1% compared to 1.9%, a difference of 65.8%), single mother households (8.1% compared to 5.0%, a difference of 62.4%), and births to unmarried women (34.4% compared to 26.9%, a difference of 27.8%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 62.5%, a difference of 2.9%), average family size (3.37 compared to 3.15, a difference of 6.9%), and currently married (43.7% compared to 47.4%, a difference of 8.5%).
Bangladeshi vs Okinawan Family Structure
Family Structure MetricBangladeshiOkinawan
Family Households
Average
64.3%
Tragic
62.5%
Family Households with Children
Exceptional
30.1%
Poor
27.2%
Married-couple Households
Tragic
43.5%
Exceptional
47.4%
Average Family Size
Exceptional
3.37
Tragic
3.15
Single Father Households
Tragic
3.1%
Exceptional
1.9%
Single Mother Households
Tragic
8.1%
Exceptional
5.0%
Currently Married
Tragic
43.7%
Excellent
47.4%
Divorced or Separated
Poor
12.3%
Exceptional
10.5%
Births to Unmarried Women
Tragic
34.4%
Exceptional
26.9%

Bangladeshi vs Okinawan Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in no vehicles in household (8.7% compared to 14.1%, a difference of 62.3%), 4 or more vehicles in household (7.6% compared to 5.5%, a difference of 36.8%), and 3 or more vehicles in household (21.9% compared to 17.4%, a difference of 25.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 86.1%, a difference of 6.1%), 2 or more vehicles in household (58.4% compared to 51.2%, a difference of 14.0%), and 3 or more vehicles in household (21.9% compared to 17.4%, a difference of 25.3%).
Bangladeshi vs Okinawan Vehicle Availability
Vehicle Availability MetricBangladeshiOkinawan
No Vehicles Available
Exceptional
8.7%
Tragic
14.1%
1+ Vehicles Available
Exceptional
91.4%
Tragic
86.1%
2+ Vehicles Available
Exceptional
58.4%
Tragic
51.2%
3+ Vehicles Available
Exceptional
21.9%
Tragic
17.4%
4+ Vehicles Available
Exceptional
7.6%
Tragic
5.5%

Bangladeshi vs Okinawan Education Level

When considering education level, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in doctorate degree (1.2% compared to 3.3%, a difference of 170.9%), professional degree (3.1% compared to 7.3%, a difference of 136.9%), and master's degree (10.5% compared to 22.6%, a difference of 116.1%). Conversely, both communities are more comparable in terms of kindergarten (96.6% compared to 98.2%, a difference of 1.7%), nursery school (96.6% compared to 98.2%, a difference of 1.7%), and 1st grade (96.5% compared to 98.1%, a difference of 1.7%).
Bangladeshi vs Okinawan Education Level
Education Level MetricBangladeshiOkinawan
No Schooling Completed
Tragic
3.5%
Exceptional
1.8%
Nursery School
Tragic
96.6%
Exceptional
98.2%
Kindergarten
Tragic
96.6%
Exceptional
98.2%
1st Grade
Tragic
96.5%
Exceptional
98.1%
2nd Grade
Tragic
96.5%
Exceptional
98.1%
3rd Grade
Tragic
96.3%
Exceptional
98.0%
4th Grade
Tragic
96.1%
Exceptional
97.8%
5th Grade
Tragic
95.9%
Exceptional
97.6%
6th Grade
Tragic
95.7%
Exceptional
97.4%
7th Grade
Tragic
94.5%
Exceptional
96.6%
8th Grade
Tragic
94.3%
Exceptional
96.3%
9th Grade
Tragic
93.4%
Exceptional
95.7%
10th Grade
Tragic
92.2%
Exceptional
94.8%
11th Grade
Tragic
90.9%
Exceptional
94.0%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
93.0%
High School Diploma
Tragic
86.9%
Exceptional
91.4%
GED/Equivalency
Tragic
83.1%
Exceptional
88.9%
College, Under 1 year
Tragic
61.4%
Exceptional
73.7%
College, 1 year or more
Tragic
54.5%
Exceptional
69.0%
Associate's Degree
Tragic
40.0%
Exceptional
57.7%
Bachelor's Degree
Tragic
30.2%
Exceptional
50.5%
Master's Degree
Tragic
10.5%
Exceptional
22.6%
Professional Degree
Tragic
3.1%
Exceptional
7.3%
Doctorate Degree
Tragic
1.2%
Exceptional
3.3%

Bangladeshi vs Okinawan Disability

When considering disability, the most significant differences between Bangladeshi and Okinawan communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.4%, a difference of 45.6%), vision disability (2.3% compared to 1.8%, a difference of 32.4%), and disability age 65 to 74 (26.8% compared to 20.7%, a difference of 29.7%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 17.6%, a difference of 5.8%), disability age over 75 (49.4% compared to 44.9%, a difference of 10.1%), and disability age under 5 (1.3% compared to 1.1%, a difference of 13.3%).
Bangladeshi vs Okinawan Disability
Disability MetricBangladeshiOkinawan
Disability
Tragic
12.6%
Exceptional
10.3%
Males
Tragic
12.0%
Exceptional
9.8%
Females
Tragic
13.1%
Exceptional
10.8%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Exceptional
5.0%
Age | 18 to 34 years
Tragic
7.4%
Exceptional
5.9%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
9.4%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
20.7%
Age | Over 75 years
Tragic
49.4%
Exceptional
44.9%
Vision
Tragic
2.3%
Exceptional
1.8%
Hearing
Tragic
3.2%
Exceptional
2.6%
Cognitive
Tragic
18.6%
Tragic
17.6%
Ambulatory
Poor
6.3%
Exceptional
5.3%
Self-Care
Tragic
2.8%
Exceptional
2.2%