Bangladeshi vs Potawatomi Community Comparison

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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 GermanPeruvianPimaPolishPortuguesePuebloPuerto 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
Potawatomi
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

Potawatomi

Fair
Fair
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
3,223
SOCIAL INDEX
29.8/ 100
SOCIAL RATING
227th/ 347
SOCIAL RANK

Potawatomi Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 69,690,261 people shows a weak negative correlation between the proportion of Potawatomi within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.288. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.002% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 2.4 Potawatomi.
Bangladeshi Integration in Potawatomi Communities

Bangladeshi vs Potawatomi Income

When considering income, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in wage/income gap (22.2% compared to 27.7%, a difference of 25.1%), per capita income ($35,897 compared to $38,046, a difference of 6.0%), and median male earnings ($46,744 compared to $48,768, a difference of 4.3%). Conversely, both communities are more comparable in terms of median earnings ($41,263 compared to $41,288, a difference of 0.060%), median family income ($88,358 compared to $88,265, a difference of 0.11%), and householder income ages 25 - 44 years ($81,363 compared to $81,774, a difference of 0.50%).
Bangladeshi vs Potawatomi Income
Income MetricBangladeshiPotawatomi
Per Capita Income
Tragic
$35,897
Tragic
$38,046
Median Family Income
Tragic
$88,358
Tragic
$88,265
Median Household Income
Tragic
$74,112
Tragic
$72,576
Median Earnings
Tragic
$41,263
Tragic
$41,288
Median Male Earnings
Tragic
$46,744
Tragic
$48,768
Median Female Earnings
Tragic
$35,960
Tragic
$34,739
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$46,462
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$81,774
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$84,613
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$54,212
Wage/Income Gap
Exceptional
22.2%
Tragic
27.7%

Bangladeshi vs Potawatomi Poverty

When considering poverty, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in single father poverty (15.2% compared to 18.9%, a difference of 24.4%), receiving food stamps (15.0% compared to 12.5%, a difference of 20.7%), and single male poverty (13.3% compared to 15.8%, a difference of 18.1%). 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 1.2%), child poverty under the age of 5 (20.6% compared to 21.0%, a difference of 1.8%), and child poverty among boys under 16 (20.0% compared to 19.4%, a difference of 3.4%).
Bangladeshi vs Potawatomi Poverty
Poverty MetricBangladeshiPotawatomi
Poverty
Tragic
14.8%
Tragic
14.1%
Families
Tragic
10.9%
Tragic
10.2%
Males
Tragic
13.6%
Tragic
12.9%
Females
Tragic
16.0%
Tragic
15.3%
Females 18 to 24 years
Tragic
22.5%
Tragic
23.7%
Females 25 to 34 years
Tragic
15.9%
Tragic
16.5%
Children Under 5 years
Tragic
20.6%
Tragic
21.0%
Children Under 16 years
Tragic
19.9%
Tragic
19.0%
Boys Under 16 years
Tragic
20.0%
Tragic
19.4%
Girls Under 16 years
Tragic
20.0%
Tragic
19.2%
Single Males
Tragic
13.3%
Tragic
15.8%
Single Females
Tragic
24.2%
Tragic
25.4%
Single Fathers
Exceptional
15.2%
Tragic
18.9%
Single Mothers
Tragic
31.7%
Tragic
34.1%
Married Couples
Tragic
6.0%
Poor
5.5%
Seniors Over 65 years
Fair
11.2%
Good
10.8%
Seniors Over 75 years
Good
12.0%
Average
12.1%
Receiving Food Stamps
Tragic
15.0%
Poor
12.5%

Bangladeshi vs Potawatomi Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 9.6%, a difference of 27.6%), unemployment among seniors over 75 years (9.6% compared to 7.8%, a difference of 22.8%), and unemployment among women with children ages 6 to 17 years (7.4% compared to 8.5%, a difference of 15.7%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.6% compared to 11.6%, a difference of 0.10%), female unemployment (5.2% compared to 5.2%, a difference of 0.11%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.55%).
Bangladeshi vs Potawatomi Unemployment
Unemployment MetricBangladeshiPotawatomi
Unemployment
Poor
5.4%
Good
5.2%
Males
Tragic
5.7%
Fair
5.3%
Females
Good
5.2%
Good
5.2%
Youth < 25
Average
11.6%
Average
11.6%
Age | 16 to 19 years
Exceptional
16.9%
Excellent
17.2%
Age | 20 to 24 years
Exceptional
10.0%
Average
10.3%
Age | 25 to 29 years
Average
6.6%
Tragic
7.1%
Age | 30 to 34 years
Good
5.3%
Tragic
6.0%
Age | 35 to 44 years
Fair
4.8%
Tragic
5.0%
Age | 45 to 54 years
Average
4.5%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.7%
Good
4.8%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.6%
Age | 65 to 74 years
Good
5.3%
Average
5.4%
Seniors > 65
Fair
5.2%
Good
5.1%
Seniors > 75
Tragic
9.6%
Exceptional
7.8%
Women w/ Children < 6
Good
7.5%
Tragic
9.6%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.5%
Women w/ Children < 18
Good
5.3%
Tragic
5.7%

Bangladeshi vs Potawatomi Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.0%, a difference of 6.1%), in labor force | age > 16 (65.9% compared to 62.8%, a difference of 5.0%), and in labor force | age 20-64 (79.3% compared to 77.2%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.3% compared to 80.0%, a difference of 1.7%), in labor force | age 35-44 (84.1% compared to 82.7%, a difference of 1.7%), and in labor force | age 30-34 (84.3% compared to 82.8%, a difference of 1.9%).
Bangladeshi vs Potawatomi Labor Participation
Labor Participation MetricBangladeshiPotawatomi
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
62.8%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
77.2%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
40.0%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
76.2%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
82.9%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
82.8%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
82.7%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
80.0%

Bangladeshi vs Potawatomi Family Structure

When considering family structure, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in single mother households (8.1% compared to 6.6%, a difference of 23.3%), single father households (3.1% compared to 2.5%, a difference of 21.8%), and family households with children (30.1% compared to 26.9%, a difference of 12.0%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 63.3%, a difference of 1.5%), married-couple households (43.5% compared to 45.7%, a difference of 5.0%), and births to unmarried women (34.4% compared to 36.2%, a difference of 5.3%).
Bangladeshi vs Potawatomi Family Structure
Family Structure MetricBangladeshiPotawatomi
Family Households
Average
64.3%
Tragic
63.3%
Family Households with Children
Exceptional
30.1%
Tragic
26.9%
Married-couple Households
Tragic
43.5%
Poor
45.7%
Average Family Size
Exceptional
3.37
Tragic
3.16
Single Father Households
Tragic
3.1%
Tragic
2.5%
Single Mother Households
Tragic
8.1%
Poor
6.6%
Currently Married
Tragic
43.7%
Average
46.5%
Divorced or Separated
Poor
12.3%
Tragic
13.5%
Births to Unmarried Women
Tragic
34.4%
Tragic
36.2%

Bangladeshi vs Potawatomi Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 7.3%, a difference of 3.8%), no vehicles in household (8.7% compared to 8.8%, a difference of 2.0%), and 2 or more vehicles in household (58.4% compared to 58.0%, a difference of 0.80%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.9% compared to 21.9%, a difference of 0.010%), 1 or more vehicles in household (91.4% compared to 91.3%, a difference of 0.090%), and 2 or more vehicles in household (58.4% compared to 58.0%, a difference of 0.80%).
Bangladeshi vs Potawatomi Vehicle Availability
Vehicle Availability MetricBangladeshiPotawatomi
No Vehicles Available
Exceptional
8.7%
Exceptional
8.8%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
91.3%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
58.0%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.3%

Bangladeshi vs Potawatomi Education Level

When considering education level, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in no schooling completed (3.5% compared to 1.7%, a difference of 102.6%), doctorate degree (1.2% compared to 1.6%, a difference of 28.9%), and professional degree (3.1% compared to 3.6%, a difference of 15.2%). Conversely, both communities are more comparable in terms of college, 1 year or more (54.5% compared to 54.6%, a difference of 0.26%), college, under 1 year (61.4% compared to 61.8%, a difference of 0.63%), and associate's degree (40.0% compared to 40.4%, a difference of 0.96%).
Bangladeshi vs Potawatomi Education Level
Education Level MetricBangladeshiPotawatomi
No Schooling Completed
Tragic
3.5%
Exceptional
1.7%
Nursery School
Tragic
96.6%
Exceptional
98.3%
Kindergarten
Tragic
96.6%
Exceptional
98.3%
1st Grade
Tragic
96.5%
Exceptional
98.3%
2nd Grade
Tragic
96.5%
Exceptional
98.2%
3rd Grade
Tragic
96.3%
Exceptional
98.1%
4th Grade
Tragic
96.1%
Exceptional
97.9%
5th Grade
Tragic
95.9%
Exceptional
97.8%
6th Grade
Tragic
95.7%
Exceptional
97.6%
7th Grade
Tragic
94.5%
Exceptional
96.7%
8th Grade
Tragic
94.3%
Exceptional
96.4%
9th Grade
Tragic
93.4%
Exceptional
95.5%
10th Grade
Tragic
92.2%
Exceptional
94.3%
11th Grade
Tragic
90.9%
Good
92.8%
12th Grade, No Diploma
Tragic
89.3%
Fair
91.0%
High School Diploma
Tragic
86.9%
Average
89.0%
GED/Equivalency
Tragic
83.1%
Tragic
84.7%
College, Under 1 year
Tragic
61.4%
Tragic
61.8%
College, 1 year or more
Tragic
54.5%
Tragic
54.6%
Associate's Degree
Tragic
40.0%
Tragic
40.4%
Bachelor's Degree
Tragic
30.2%
Tragic
31.9%
Master's Degree
Tragic
10.5%
Tragic
12.1%
Professional Degree
Tragic
3.1%
Tragic
3.6%
Doctorate Degree
Tragic
1.2%
Tragic
1.6%

Bangladeshi vs Potawatomi Disability

When considering disability, the most significant differences between Bangladeshi and Potawatomi communities in the United States are seen in hearing disability (3.2% compared to 4.1%, a difference of 30.1%), male disability (12.0% compared to 14.2%, a difference of 18.2%), and ambulatory disability (6.3% compared to 7.3%, a difference of 16.9%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (26.8% compared to 27.0%, a difference of 0.64%), disability age over 75 (49.4% compared to 49.0%, a difference of 0.79%), and cognitive disability (18.6% compared to 18.0%, a difference of 3.3%).
Bangladeshi vs Potawatomi Disability
Disability MetricBangladeshiPotawatomi
Disability
Tragic
12.6%
Tragic
14.2%
Males
Tragic
12.0%
Tragic
14.2%
Females
Tragic
13.1%
Tragic
14.1%
Age | Under 5 years
Poor
1.3%
Tragic
1.4%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.5%
Age | 18 to 34 years
Tragic
7.4%
Tragic
8.2%
Age | 35 to 64 years
Tragic
13.6%
Tragic
14.8%
Age | 65 to 74 years
Tragic
26.8%
Tragic
27.0%
Age | Over 75 years
Tragic
49.4%
Tragic
49.0%
Vision
Tragic
2.3%
Tragic
2.6%
Hearing
Tragic
3.2%
Tragic
4.1%
Cognitive
Tragic
18.6%
Tragic
18.0%
Ambulatory
Poor
6.3%
Tragic
7.3%
Self-Care
Tragic
2.8%
Tragic
2.6%