Pima vs Bangladeshi Community Comparison

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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
Bangladeshi
Race
Ancestry
AfghanAfricanAlaskan AthabascanAlbanianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ik
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireAzores
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Pima

Bangladeshis

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

Bangladeshi Integration in Pima Communities

The statistical analysis conducted on geographies consisting of 44,806,934 people shows a perfect positive correlation between the proportion of Bangladeshis within Pima communities in the United States with a correlation coefficient (R) of 1.000. On average, for every 1% (one percent) increase in Pima within a typical geography, there is an increase of 0.304% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to an increase of 303.5 Bangladeshis.
Pima Integration in Bangladeshi Communities

Pima vs Bangladeshi Income

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

Pima vs Bangladeshi Poverty

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

Pima vs Bangladeshi Unemployment

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

Pima vs Bangladeshi Labor Participation

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

Pima vs Bangladeshi Family Structure

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

Pima vs Bangladeshi Vehicle Availability

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

Pima vs Bangladeshi Education Level

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

Pima vs Bangladeshi Disability

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