Immigrants from Bangladesh vs Chippewa Community Comparison

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Immigrants from Bangladesh
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChoctawColombianColvilleComancheCosta 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
Chippewa
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'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBarbadosBelarusBelgiumBelizeBoliviaBosnia 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

Immigrants from Bangladesh

Chippewa

Poor
Fair
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
2,429
SOCIAL INDEX
21.8/ 100
SOCIAL RATING
259th/ 347
SOCIAL RANK

Chippewa Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 111,448,591 people shows a poor negative correlation between the proportion of Chippewa within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.166. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.009% in Chippewa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 9.2 Chippewa.
Immigrants from Bangladesh Integration in Chippewa Communities

Immigrants from Bangladesh vs Chippewa Income

When considering income, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in wage/income gap (20.9% compared to 25.0%, a difference of 19.3%), householder income under 25 years ($54,714 compared to $47,015, a difference of 16.4%), and median household income ($80,722 compared to $70,539, a difference of 14.4%). Conversely, both communities are more comparable in terms of householder income over 65 years ($55,394 compared to $53,847, a difference of 2.9%), median family income ($94,665 compared to $86,852, a difference of 9.0%), and householder income ages 45 - 64 years ($92,208 compared to $83,943, a difference of 9.9%).
Immigrants from Bangladesh vs Chippewa Income
Income MetricImmigrants from BangladeshChippewa
Per Capita Income
Poor
$41,709
Tragic
$36,631
Median Family Income
Tragic
$94,665
Tragic
$86,852
Median Household Income
Tragic
$80,722
Tragic
$70,539
Median Earnings
Fair
$45,532
Tragic
$40,287
Median Male Earnings
Tragic
$51,642
Tragic
$46,368
Median Female Earnings
Good
$39,910
Tragic
$35,003
Householder Age | Under 25 years
Exceptional
$54,714
Tragic
$47,015
Householder Age | 25 - 44 years
Tragic
$90,448
Tragic
$80,005
Householder Age | 45 - 64 years
Tragic
$92,208
Tragic
$83,943
Householder Age | Over 65 years
Tragic
$55,394
Tragic
$53,847
Wage/Income Gap
Exceptional
20.9%
Excellent
25.0%

Immigrants from Bangladesh vs Chippewa Poverty

When considering poverty, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in married-couple family poverty (7.5% compared to 5.4%, a difference of 37.6%), single male poverty (13.0% compared to 16.4%, a difference of 25.6%), and female poverty among 25-34 year olds (14.8% compared to 18.0%, a difference of 21.8%). Conversely, both communities are more comparable in terms of female poverty (16.4% compared to 16.7%, a difference of 1.9%), poverty (15.3% compared to 15.7%, a difference of 2.7%), and male poverty (14.1% compared to 14.6%, a difference of 3.5%).
Immigrants from Bangladesh vs Chippewa Poverty
Poverty MetricImmigrants from BangladeshChippewa
Poverty
Tragic
15.3%
Tragic
15.7%
Families
Tragic
11.7%
Tragic
11.2%
Males
Tragic
14.1%
Tragic
14.6%
Females
Tragic
16.4%
Tragic
16.7%
Females 18 to 24 years
Tragic
21.8%
Tragic
25.9%
Females 25 to 34 years
Tragic
14.8%
Tragic
18.0%
Children Under 5 years
Tragic
20.1%
Tragic
23.4%
Children Under 16 years
Tragic
19.8%
Tragic
20.5%
Boys Under 16 years
Tragic
19.9%
Tragic
21.0%
Girls Under 16 years
Tragic
19.9%
Tragic
20.6%
Single Males
Fair
13.0%
Tragic
16.4%
Single Females
Tragic
22.3%
Tragic
26.8%
Single Fathers
Average
16.3%
Tragic
18.8%
Single Mothers
Tragic
31.1%
Tragic
34.8%
Married Couples
Tragic
7.5%
Poor
5.4%
Seniors Over 65 years
Tragic
14.1%
Tragic
12.1%
Seniors Over 75 years
Tragic
15.8%
Tragic
13.1%
Receiving Food Stamps
Tragic
15.9%
Tragic
14.7%

Immigrants from Bangladesh vs Chippewa Unemployment

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 13.3%, a difference of 50.9%), unemployment among women with children ages 6 to 17 years (8.8% compared to 11.1%, a difference of 25.5%), and unemployment among ages 60 to 64 years (6.0% compared to 4.9%, a difference of 20.8%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (5.9% compared to 5.9%, a difference of 0.070%), male unemployment (6.6% compared to 6.6%, a difference of 0.21%), and unemployment among ages 20 to 24 years (12.6% compared to 12.3%, a difference of 2.1%).
Immigrants from Bangladesh vs Chippewa Unemployment
Unemployment MetricImmigrants from BangladeshChippewa
Unemployment
Tragic
6.5%
Tragic
6.2%
Males
Tragic
6.6%
Tragic
6.6%
Females
Tragic
6.5%
Tragic
6.1%
Youth < 25
Tragic
14.2%
Tragic
13.5%
Age | 16 to 19 years
Tragic
21.5%
Poor
18.0%
Age | 20 to 24 years
Tragic
12.6%
Tragic
12.3%
Age | 25 to 29 years
Tragic
7.5%
Tragic
7.8%
Age | 30 to 34 years
Tragic
6.4%
Tragic
7.8%
Age | 35 to 44 years
Tragic
5.3%
Tragic
6.2%
Age | 45 to 54 years
Tragic
5.4%
Tragic
5.5%
Age | 55 to 59 years
Tragic
5.9%
Tragic
5.9%
Age | 60 to 64 years
Tragic
6.0%
Poor
4.9%
Age | 65 to 74 years
Tragic
5.9%
Tragic
5.7%
Seniors > 65
Tragic
5.7%
Tragic
5.4%
Seniors > 75
Tragic
9.1%
Tragic
10.1%
Women w/ Children < 6
Tragic
8.8%
Tragic
13.3%
Women w/ Children 6 to 17
Good
8.8%
Tragic
11.1%
Women w/ Children < 18
Tragic
6.4%
Tragic
7.0%

Immigrants from Bangladesh vs Chippewa Labor Participation

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 43.8%, a difference of 45.8%), in labor force | age 20-24 (70.6% compared to 77.1%, a difference of 9.1%), and in labor force | age > 16 (64.5% compared to 63.1%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (82.9% compared to 82.9%, a difference of 0.030%), in labor force | age 25-29 (83.0% compared to 82.9%, a difference of 0.060%), and in labor force | age 45-54 (80.7% compared to 81.3%, a difference of 0.64%).
Immigrants from Bangladesh vs Chippewa Labor Participation
Labor Participation MetricImmigrants from BangladeshChippewa
In Labor Force | Age > 16
Tragic
64.5%
Tragic
63.1%
In Labor Force | Age 20-64
Tragic
77.9%
Tragic
77.3%
In Labor Force | Age 16-19
Tragic
30.0%
Exceptional
43.8%
In Labor Force | Age 20-24
Tragic
70.6%
Exceptional
77.1%
In Labor Force | Age 25-29
Tragic
83.0%
Tragic
82.9%
In Labor Force | Age 30-34
Tragic
83.6%
Tragic
82.6%
In Labor Force | Age 35-44
Tragic
82.9%
Tragic
82.9%
In Labor Force | Age 45-54
Tragic
80.7%
Tragic
81.3%

Immigrants from Bangladesh vs Chippewa Family Structure

When considering family structure, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 49.3%), births to unmarried women (30.9% compared to 42.6%, a difference of 38.0%), and divorced or separated (11.0% compared to 13.2%, a difference of 20.1%). Conversely, both communities are more comparable in terms of currently married (43.6% compared to 43.2%, a difference of 0.89%), married-couple households (43.1% compared to 42.1%, a difference of 2.3%), and family households (63.9% compared to 62.1%, a difference of 2.9%).
Immigrants from Bangladesh vs Chippewa Family Structure
Family Structure MetricImmigrants from BangladeshChippewa
Family Households
Poor
63.9%
Tragic
62.1%
Family Households with Children
Good
27.6%
Tragic
26.7%
Married-couple Households
Tragic
43.1%
Tragic
42.1%
Average Family Size
Exceptional
3.36
Poor
3.20
Single Father Households
Exceptional
2.1%
Tragic
3.1%
Single Mother Households
Tragic
6.9%
Tragic
8.0%
Currently Married
Tragic
43.6%
Tragic
43.2%
Divorced or Separated
Exceptional
11.0%
Tragic
13.2%
Births to Unmarried Women
Good
30.9%
Tragic
42.6%

Immigrants from Bangladesh vs Chippewa Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in no vehicles in household (25.8% compared to 9.4%, a difference of 172.6%), 4 or more vehicles in household (3.9% compared to 7.6%, a difference of 94.2%), and 3 or more vehicles in household (12.5% compared to 21.5%, a difference of 71.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 90.7%, a difference of 22.0%), 2 or more vehicles in household (38.8% compared to 57.2%, a difference of 47.5%), and 3 or more vehicles in household (12.5% compared to 21.5%, a difference of 71.9%).
Immigrants from Bangladesh vs Chippewa Vehicle Availability
Vehicle Availability MetricImmigrants from BangladeshChippewa
No Vehicles Available
Tragic
25.8%
Exceptional
9.4%
1+ Vehicles Available
Tragic
74.3%
Exceptional
90.7%
2+ Vehicles Available
Tragic
38.8%
Exceptional
57.2%
3+ Vehicles Available
Tragic
12.5%
Exceptional
21.5%
4+ Vehicles Available
Tragic
3.9%
Exceptional
7.6%

Immigrants from Bangladesh vs Chippewa Education Level

When considering education level, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in no schooling completed (3.1% compared to 1.6%, a difference of 92.3%), master's degree (15.5% compared to 11.4%, a difference of 35.5%), and professional degree (4.4% compared to 3.5%, a difference of 28.2%). Conversely, both communities are more comparable in terms of college, 1 year or more (56.6% compared to 55.7%, a difference of 1.6%), nursery school (96.9% compared to 98.5%, a difference of 1.7%), and kindergarten (96.8% compared to 98.5%, a difference of 1.7%).
Immigrants from Bangladesh vs Chippewa Education Level
Education Level MetricImmigrants from BangladeshChippewa
No Schooling Completed
Tragic
3.1%
Exceptional
1.6%
Nursery School
Tragic
96.9%
Exceptional
98.5%
Kindergarten
Tragic
96.8%
Exceptional
98.5%
1st Grade
Tragic
96.8%
Exceptional
98.5%
2nd Grade
Tragic
96.7%
Exceptional
98.4%
3rd Grade
Tragic
96.6%
Exceptional
98.4%
4th Grade
Tragic
96.2%
Exceptional
98.2%
5th Grade
Tragic
96.0%
Exceptional
98.1%
6th Grade
Tragic
95.4%
Exceptional
97.9%
7th Grade
Tragic
94.0%
Exceptional
97.3%
8th Grade
Tragic
93.6%
Exceptional
97.1%
9th Grade
Tragic
92.4%
Exceptional
96.1%
10th Grade
Tragic
91.0%
Exceptional
95.0%
11th Grade
Tragic
89.5%
Exceptional
93.5%
12th Grade, No Diploma
Tragic
88.0%
Good
91.5%
High School Diploma
Tragic
85.5%
Excellent
89.7%
GED/Equivalency
Tragic
81.9%
Fair
85.2%
College, Under 1 year
Tragic
61.3%
Tragic
62.6%
College, 1 year or more
Tragic
56.6%
Tragic
55.7%
Associate's Degree
Fair
45.2%
Tragic
40.7%
Bachelor's Degree
Average
37.8%
Tragic
30.6%
Master's Degree
Good
15.5%
Tragic
11.4%
Professional Degree
Average
4.4%
Tragic
3.5%
Doctorate Degree
Average
1.8%
Tragic
1.5%

Immigrants from Bangladesh vs Chippewa Disability

When considering disability, the most significant differences between Immigrants from Bangladesh and Chippewa communities in the United States are seen in disability age under 5 (0.85% compared to 1.9%, a difference of 120.4%), hearing disability (2.4% compared to 4.0%, a difference of 64.7%), and disability age 18 to 34 (5.6% compared to 9.0%, a difference of 59.3%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.54%), disability age over 75 (48.0% compared to 48.4%, a difference of 0.82%), and cognitive disability (17.8% compared to 18.1%, a difference of 1.3%).
Immigrants from Bangladesh vs Chippewa Disability
Disability MetricImmigrants from BangladeshChippewa
Disability
Exceptional
11.0%
Tragic
14.1%
Males
Exceptional
10.3%
Tragic
14.3%
Females
Exceptional
11.8%
Tragic
14.0%
Age | Under 5 years
Exceptional
0.85%
Tragic
1.9%
Age | 5 to 17 years
Exceptional
5.2%
Tragic
7.1%
Age | 18 to 34 years
Exceptional
5.6%
Tragic
9.0%
Age | 35 to 64 years
Excellent
10.9%
Tragic
15.0%
Age | 65 to 74 years
Fair
23.6%
Tragic
27.8%
Age | Over 75 years
Tragic
48.0%
Tragic
48.4%
Vision
Good
2.1%
Tragic
2.4%
Hearing
Exceptional
2.4%
Tragic
4.0%
Cognitive
Tragic
17.8%
Tragic
18.1%
Ambulatory
Fair
6.2%
Tragic
7.1%
Self-Care
Tragic
2.6%
Tragic
2.6%