Bangladeshi vs Pima Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto 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
Pima
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

Pima

Fair
Poor
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK

Pima Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 44,806,934 people shows no correlation between the proportion of Pima within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.039. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.001% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 1.0 Pima.
Bangladeshi Integration in Pima Communities

Bangladeshi vs Pima Income

When considering income, the most significant differences between Bangladeshi and Pima communities in the United States are seen in householder income ages 45 - 64 years ($86,402 compared to $73,365, a difference of 17.8%), median household income ($74,112 compared to $63,262, a difference of 17.2%), and per capita income ($35,897 compared to $30,644, a difference of 17.1%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($81,363 compared to $82,821, a difference of 1.8%), median female earnings ($35,960 compared to $35,326, a difference of 1.8%), and wage/income gap (22.2% compared to 21.1%, a difference of 5.0%).
Bangladeshi vs Pima Income
Income MetricBangladeshiPima
Per Capita Income
Tragic
$35,897
Tragic
$30,644
Median Family Income
Tragic
$88,358
Tragic
$77,431
Median Household Income
Tragic
$74,112
Tragic
$63,262
Median Earnings
Tragic
$41,263
Tragic
$38,285
Median Male Earnings
Tragic
$46,744
Tragic
$42,357
Median Female Earnings
Tragic
$35,960
Tragic
$35,326
Householder Age | Under 25 years
Tragic
$47,589
Poor
$51,503
Householder Age | 25 - 44 years
Tragic
$81,363
Tragic
$82,821
Householder Age | 45 - 64 years
Tragic
$86,402
Tragic
$73,365
Householder Age | Over 65 years
Tragic
$54,719
Tragic
$50,539
Wage/Income Gap
Exceptional
22.2%
Exceptional
21.1%

Bangladeshi vs Pima Poverty

When considering poverty, the most significant differences between Bangladeshi and Pima communities in the United States are seen in seniors poverty over the age of 75 (12.0% compared to 23.9%, a difference of 99.4%), married-couple family poverty (6.0% compared to 11.4%, a difference of 89.8%), and seniors poverty over the age of 65 (11.2% compared to 19.8%, a difference of 76.8%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 14.8%, a difference of 2.9%), single mother poverty (31.7% compared to 38.6%, a difference of 21.7%), and single female poverty (24.2% compared to 30.3%, a difference of 25.5%).
Bangladeshi vs Pima Poverty
Poverty MetricBangladeshiPima
Poverty
Tragic
14.8%
Tragic
21.9%
Families
Tragic
10.9%
Tragic
18.4%
Males
Tragic
13.6%
Tragic
20.4%
Females
Tragic
16.0%
Tragic
23.6%
Females 18 to 24 years
Tragic
22.5%
Tragic
28.4%
Females 25 to 34 years
Tragic
15.9%
Tragic
25.3%
Children Under 5 years
Tragic
20.6%
Tragic
27.4%
Children Under 16 years
Tragic
19.9%
Tragic
29.0%
Boys Under 16 years
Tragic
20.0%
Tragic
29.7%
Girls Under 16 years
Tragic
20.0%
Tragic
28.2%
Single Males
Tragic
13.3%
Tragic
20.2%
Single Females
Tragic
24.2%
Tragic
30.3%
Single Fathers
Exceptional
15.2%
Exceptional
14.8%
Single Mothers
Tragic
31.7%
Tragic
38.6%
Married Couples
Tragic
6.0%
Tragic
11.4%
Seniors Over 65 years
Fair
11.2%
Tragic
19.8%
Seniors Over 75 years
Good
12.0%
Tragic
23.9%
Receiving Food Stamps
Tragic
15.0%
Tragic
19.0%

Bangladeshi vs Pima Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Pima communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 18.9%, a difference of 156.7%), unemployment among ages 35 to 44 years (4.8% compared to 11.8%, a difference of 146.6%), and unemployment among women with children under 18 years (5.3% compared to 11.7%, a difference of 118.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.6% compared to 9.2%, a difference of 4.2%), unemployment among ages 60 to 64 years (4.6% compared to 4.8%, a difference of 4.5%), and unemployment among seniors over 65 years (5.2% compared to 6.3%, a difference of 21.0%).
Bangladeshi vs Pima Unemployment
Unemployment MetricBangladeshiPima
Unemployment
Poor
5.4%
Tragic
8.2%
Males
Tragic
5.7%
Tragic
8.3%
Females
Good
5.2%
Tragic
9.3%
Youth < 25
Average
11.6%
Tragic
16.2%
Age | 16 to 19 years
Exceptional
16.9%
Tragic
23.1%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
14.2%
Age | 25 to 29 years
Average
6.6%
Tragic
11.8%
Age | 30 to 34 years
Good
5.3%
Tragic
9.6%
Age | 35 to 44 years
Fair
4.8%
Tragic
11.8%
Age | 45 to 54 years
Average
4.5%
Tragic
6.4%
Age | 55 to 59 years
Exceptional
4.7%
Tragic
6.6%
Age | 60 to 64 years
Exceptional
4.6%
Excellent
4.8%
Age | 65 to 74 years
Good
5.3%
Tragic
6.6%
Seniors > 65
Fair
5.2%
Tragic
6.3%
Seniors > 75
Tragic
9.6%
Tragic
9.2%
Women w/ Children < 6
Good
7.5%
Tragic
13.4%
Women w/ Children 6 to 17
Exceptional
7.4%
Tragic
18.9%
Women w/ Children < 18
Good
5.3%
Tragic
11.7%

Bangladeshi vs Pima Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Pima communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.1%, a difference of 24.6%), in labor force | age > 16 (65.9% compared to 57.4%, a difference of 14.9%), and in labor force | age 20-64 (79.3% compared to 69.0%, a difference of 14.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 79.0%, a difference of 6.7%), in labor force | age 45-54 (81.3% compared to 72.8%, a difference of 11.7%), and in labor force | age 35-44 (84.1% compared to 74.8%, a difference of 12.4%).
Bangladeshi vs Pima Labor Participation
Labor Participation MetricBangladeshiPima
In Labor Force | Age > 16
Exceptional
65.9%
Tragic
57.4%
In Labor Force | Age 20-64
Poor
79.3%
Tragic
69.0%
In Labor Force | Age 16-19
Exceptional
42.5%
Tragic
34.1%
In Labor Force | Age 20-24
Exceptional
78.1%
Tragic
69.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Tragic
74.3%
In Labor Force | Age 30-34
Tragic
84.3%
Tragic
79.0%
In Labor Force | Age 35-44
Poor
84.1%
Tragic
74.8%
In Labor Force | Age 45-54
Tragic
81.3%
Tragic
72.8%

Bangladeshi vs Pima Family Structure

When considering family structure, the most significant differences between Bangladeshi and Pima communities in the United States are seen in births to unmarried women (34.4% compared to 51.5%, a difference of 49.6%), single father households (3.1% compared to 4.2%, a difference of 36.0%), and married-couple households (43.5% compared to 35.6%, a difference of 22.4%). Conversely, both communities are more comparable in terms of single mother households (8.1% compared to 8.3%, a difference of 1.7%), family households (64.3% compared to 65.9%, a difference of 2.6%), and divorced or separated (12.3% compared to 12.9%, a difference of 4.9%).
Bangladeshi vs Pima Family Structure
Family Structure MetricBangladeshiPima
Family Households
Average
64.3%
Exceptional
65.9%
Family Households with Children
Exceptional
30.1%
Tragic
27.1%
Married-couple Households
Tragic
43.5%
Tragic
35.6%
Average Family Size
Exceptional
3.37
Exceptional
3.75
Single Father Households
Tragic
3.1%
Tragic
4.2%
Single Mother Households
Tragic
8.1%
Tragic
8.3%
Currently Married
Tragic
43.7%
Tragic
35.9%
Divorced or Separated
Poor
12.3%
Tragic
12.9%
Births to Unmarried Women
Tragic
34.4%
Tragic
51.5%

Bangladeshi vs Pima Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Pima communities in the United States are seen in no vehicles in household (8.7% compared to 14.1%, a difference of 63.1%), 2 or more vehicles in household (58.4% compared to 52.0%, a difference of 12.3%), and 1 or more vehicles in household (91.4% compared to 86.3%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.9% compared to 22.0%, a difference of 0.77%), 4 or more vehicles in household (7.6% compared to 7.9%, a difference of 4.2%), and 1 or more vehicles in household (91.4% compared to 86.3%, a difference of 5.9%).
Bangladeshi vs Pima Vehicle Availability
Vehicle Availability MetricBangladeshiPima
No Vehicles Available
Exceptional
8.7%
Tragic
14.1%
1+ Vehicles Available
Exceptional
91.4%
Tragic
86.3%
2+ Vehicles Available
Exceptional
58.4%
Tragic
52.0%
3+ Vehicles Available
Exceptional
21.9%
Exceptional
22.0%
4+ Vehicles Available
Exceptional
7.6%
Exceptional
7.9%

Bangladeshi vs Pima Education Level

When considering education level, the most significant differences between Bangladeshi and Pima communities in the United States are seen in no schooling completed (3.5% compared to 2.1%, a difference of 67.4%), associate's degree (40.0% compared to 30.2%, a difference of 32.4%), and bachelor's degree (30.2% compared to 23.2%, a difference of 30.1%). Conversely, both communities are more comparable in terms of 9th grade (93.4% compared to 93.9%, a difference of 0.52%), 10th grade (92.2% compared to 91.2%, a difference of 1.1%), and 8th grade (94.3% compared to 95.6%, a difference of 1.4%).
Bangladeshi vs Pima Education Level
Education Level MetricBangladeshiPima
No Schooling Completed
Tragic
3.5%
Average
2.1%
Nursery School
Tragic
96.6%
Exceptional
98.2%
Kindergarten
Tragic
96.6%
Exceptional
98.2%
1st Grade
Tragic
96.5%
Exceptional
98.2%
2nd Grade
Tragic
96.5%
Exceptional
98.2%
3rd Grade
Tragic
96.3%
Exceptional
98.0%
4th Grade
Tragic
96.1%
Exceptional
97.7%
5th Grade
Tragic
95.9%
Exceptional
97.6%
6th Grade
Tragic
95.7%
Excellent
97.2%
7th Grade
Tragic
94.5%
Good
96.1%
8th Grade
Tragic
94.3%
Fair
95.6%
9th Grade
Tragic
93.4%
Tragic
93.9%
10th Grade
Tragic
92.2%
Tragic
91.2%
11th Grade
Tragic
90.9%
Tragic
88.3%
12th Grade, No Diploma
Tragic
89.3%
Tragic
84.6%
High School Diploma
Tragic
86.9%
Tragic
81.6%
GED/Equivalency
Tragic
83.1%
Tragic
76.4%
College, Under 1 year
Tragic
61.4%
Tragic
51.4%
College, 1 year or more
Tragic
54.5%
Tragic
45.6%
Associate's Degree
Tragic
40.0%
Tragic
30.2%
Bachelor's Degree
Tragic
30.2%
Tragic
23.2%
Master's Degree
Tragic
10.5%
Tragic
9.2%
Professional Degree
Tragic
3.1%
Tragic
3.3%
Doctorate Degree
Tragic
1.2%
Tragic
1.3%

Bangladeshi vs Pima Disability

When considering disability, the most significant differences between Bangladeshi and Pima communities in the United States are seen in disability age 65 to 74 (26.8% compared to 38.6%, a difference of 43.8%), vision disability (2.3% compared to 3.3%, a difference of 41.8%), and ambulatory disability (6.3% compared to 8.2%, a difference of 31.6%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 18.8%, a difference of 0.96%), self-care disability (2.8% compared to 2.8%, a difference of 1.3%), and disability age 18 to 34 (7.4% compared to 7.7%, a difference of 5.0%).
Bangladeshi vs Pima Disability
Disability MetricBangladeshiPima
Disability
Tragic
12.6%
Tragic
13.7%
Males
Tragic
12.0%
Tragic
12.8%
Females
Tragic
13.1%
Tragic
14.8%
Age | Under 5 years
Poor
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.2%
Age | 18 to 34 years
Tragic
7.4%
Tragic
7.7%
Age | 35 to 64 years
Tragic
13.6%
Tragic
16.1%
Age | 65 to 74 years
Tragic
26.8%
Tragic
38.6%
Age | Over 75 years
Tragic
49.4%
Tragic
55.8%
Vision
Tragic
2.3%
Tragic
3.3%
Hearing
Tragic
3.2%
Tragic
3.7%
Cognitive
Tragic
18.6%
Tragic
18.8%
Ambulatory
Poor
6.3%
Tragic
8.2%
Self-Care
Tragic
2.8%
Tragic
2.8%