Potawatomi vs Bangladeshi Community Comparison

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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
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 IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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

Potawatomi

Bangladeshis

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

Bangladeshi Integration in Potawatomi Communities

The statistical analysis conducted on geographies consisting of 69,690,261 people shows a poor positive correlation between the proportion of Bangladeshis within Potawatomi communities in the United States with a correlation coefficient (R) of 0.160. On average, for every 1% (one percent) increase in Potawatomi within a typical geography, there is an increase of 0.043% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Potawatomi corresponds to an increase of 42.9 Bangladeshis.
Potawatomi Integration in Bangladeshi Communities

Potawatomi vs Bangladeshi Income

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

Potawatomi vs Bangladeshi Poverty

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

Potawatomi vs Bangladeshi Unemployment

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

Potawatomi vs Bangladeshi Labor Participation

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

Potawatomi vs Bangladeshi Family Structure

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

Potawatomi vs Bangladeshi Vehicle Availability

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

Potawatomi vs Bangladeshi Education Level

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

Potawatomi vs Bangladeshi Disability

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