Pima vs Immigrants from Bangladesh Community Comparison

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Pima
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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
Immigrants from Bangladesh
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

Immigrants from Bangladesh

Poor
Poor
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK

Immigrants from Bangladesh Integration in Pima Communities

The statistical analysis conducted on geographies consisting of 47,803,668 people shows a moderate positive correlation between the proportion of Immigrants from Bangladesh within Pima communities in the United States with a correlation coefficient (R) of 0.477. On average, for every 1% (one percent) increase in Pima within a typical geography, there is an increase of 0.035% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to an increase of 34.6 Immigrants from Bangladesh.
Pima Integration in Immigrants from Bangladesh Communities

Pima vs Immigrants from Bangladesh Income

When considering income, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in per capita income ($30,644 compared to $41,709, a difference of 36.1%), median household income ($63,262 compared to $80,722, a difference of 27.6%), and householder income ages 45 - 64 years ($73,365 compared to $92,208, a difference of 25.7%). Conversely, both communities are more comparable in terms of wage/income gap (21.1% compared to 20.9%, a difference of 0.81%), householder income under 25 years ($51,503 compared to $54,714, a difference of 6.2%), and householder income ages 25 - 44 years ($82,821 compared to $90,448, a difference of 9.2%).
Pima vs Immigrants from Bangladesh Income
Income MetricPimaImmigrants from Bangladesh
Per Capita Income
Tragic
$30,644
Poor
$41,709
Median Family Income
Tragic
$77,431
Tragic
$94,665
Median Household Income
Tragic
$63,262
Tragic
$80,722
Median Earnings
Tragic
$38,285
Fair
$45,532
Median Male Earnings
Tragic
$42,357
Tragic
$51,642
Median Female Earnings
Tragic
$35,326
Good
$39,910
Householder Age | Under 25 years
Poor
$51,503
Exceptional
$54,714
Householder Age | 25 - 44 years
Tragic
$82,821
Tragic
$90,448
Householder Age | 45 - 64 years
Tragic
$73,365
Tragic
$92,208
Householder Age | Over 65 years
Tragic
$50,539
Tragic
$55,394
Wage/Income Gap
Exceptional
21.1%
Exceptional
20.9%

Pima vs Immigrants from Bangladesh Poverty

When considering poverty, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in female poverty among 25-34 year olds (25.3% compared to 14.8%, a difference of 71.0%), family poverty (18.4% compared to 11.7%, a difference of 57.2%), and single male poverty (20.2% compared to 13.0%, a difference of 54.7%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 16.3%, a difference of 10.1%), receiving food stamps (19.0% compared to 15.9%, a difference of 19.2%), and single mother poverty (38.6% compared to 31.1%, a difference of 24.0%).
Pima vs Immigrants from Bangladesh Poverty
Poverty MetricPimaImmigrants from Bangladesh
Poverty
Tragic
21.9%
Tragic
15.3%
Families
Tragic
18.4%
Tragic
11.7%
Males
Tragic
20.4%
Tragic
14.1%
Females
Tragic
23.6%
Tragic
16.4%
Females 18 to 24 years
Tragic
28.4%
Tragic
21.8%
Females 25 to 34 years
Tragic
25.3%
Tragic
14.8%
Children Under 5 years
Tragic
27.4%
Tragic
20.1%
Children Under 16 years
Tragic
29.0%
Tragic
19.8%
Boys Under 16 years
Tragic
29.7%
Tragic
19.9%
Girls Under 16 years
Tragic
28.2%
Tragic
19.9%
Single Males
Tragic
20.2%
Fair
13.0%
Single Females
Tragic
30.3%
Tragic
22.3%
Single Fathers
Exceptional
14.8%
Average
16.3%
Single Mothers
Tragic
38.6%
Tragic
31.1%
Married Couples
Tragic
11.4%
Tragic
7.5%
Seniors Over 65 years
Tragic
19.8%
Tragic
14.1%
Seniors Over 75 years
Tragic
23.9%
Tragic
15.8%
Receiving Food Stamps
Tragic
19.0%
Tragic
15.9%

Pima vs Immigrants from Bangladesh Unemployment

When considering unemployment, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in unemployment among ages 35 to 44 years (11.8% compared to 5.3%, a difference of 121.1%), unemployment among women with children ages 6 to 17 years (18.9% compared to 8.8%, a difference of 113.7%), and unemployment among women with children under 18 years (11.7% compared to 6.4%, a difference of 83.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.2% compared to 9.1%, a difference of 1.6%), unemployment among ages 16 to 19 years (23.1% compared to 21.5%, a difference of 7.8%), and unemployment among seniors over 65 years (6.3% compared to 5.7%, a difference of 9.6%).
Pima vs Immigrants from Bangladesh Unemployment
Unemployment MetricPimaImmigrants from Bangladesh
Unemployment
Tragic
8.2%
Tragic
6.5%
Males
Tragic
8.3%
Tragic
6.6%
Females
Tragic
9.3%
Tragic
6.5%
Youth < 25
Tragic
16.2%
Tragic
14.2%
Age | 16 to 19 years
Tragic
23.1%
Tragic
21.5%
Age | 20 to 24 years
Tragic
14.2%
Tragic
12.6%
Age | 25 to 29 years
Tragic
11.8%
Tragic
7.5%
Age | 30 to 34 years
Tragic
9.6%
Tragic
6.4%
Age | 35 to 44 years
Tragic
11.8%
Tragic
5.3%
Age | 45 to 54 years
Tragic
6.4%
Tragic
5.4%
Age | 55 to 59 years
Tragic
6.6%
Tragic
5.9%
Age | 60 to 64 years
Excellent
4.8%
Tragic
6.0%
Age | 65 to 74 years
Tragic
6.6%
Tragic
5.9%
Seniors > 65
Tragic
6.3%
Tragic
5.7%
Seniors > 75
Tragic
9.2%
Tragic
9.1%
Women w/ Children < 6
Tragic
13.4%
Tragic
8.8%
Women w/ Children 6 to 17
Tragic
18.9%
Good
8.8%
Women w/ Children < 18
Tragic
11.7%
Tragic
6.4%

Pima vs Immigrants from Bangladesh Labor Participation

When considering labor participation, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 30.0%, a difference of 13.5%), in labor force | age 20-64 (69.0% compared to 77.9%, a difference of 12.8%), and in labor force | age > 16 (57.4% compared to 64.5%, a difference of 12.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (69.0% compared to 70.6%, a difference of 2.4%), in labor force | age 30-34 (79.0% compared to 83.6%, a difference of 5.8%), and in labor force | age 35-44 (74.8% compared to 82.9%, a difference of 10.8%).
Pima vs Immigrants from Bangladesh Labor Participation
Labor Participation MetricPimaImmigrants from Bangladesh
In Labor Force | Age > 16
Tragic
57.4%
Tragic
64.5%
In Labor Force | Age 20-64
Tragic
69.0%
Tragic
77.9%
In Labor Force | Age 16-19
Tragic
34.1%
Tragic
30.0%
In Labor Force | Age 20-24
Tragic
69.0%
Tragic
70.6%
In Labor Force | Age 25-29
Tragic
74.3%
Tragic
83.0%
In Labor Force | Age 30-34
Tragic
79.0%
Tragic
83.6%
In Labor Force | Age 35-44
Tragic
74.8%
Tragic
82.9%
In Labor Force | Age 45-54
Tragic
72.8%
Tragic
80.7%

Pima vs Immigrants from Bangladesh Family Structure

When considering family structure, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in single father households (4.2% compared to 2.1%, a difference of 101.6%), births to unmarried women (51.5% compared to 30.9%, a difference of 66.6%), and currently married (35.9% compared to 43.6%, a difference of 21.5%). Conversely, both communities are more comparable in terms of family households with children (27.1% compared to 27.6%, a difference of 1.7%), family households (65.9% compared to 63.9%, a difference of 3.3%), and average family size (3.75 compared to 3.36, a difference of 11.4%).
Pima vs Immigrants from Bangladesh Family Structure
Family Structure MetricPimaImmigrants from Bangladesh
Family Households
Exceptional
65.9%
Poor
63.9%
Family Households with Children
Tragic
27.1%
Good
27.6%
Married-couple Households
Tragic
35.6%
Tragic
43.1%
Average Family Size
Exceptional
3.75
Exceptional
3.36
Single Father Households
Tragic
4.2%
Exceptional
2.1%
Single Mother Households
Tragic
8.3%
Tragic
6.9%
Currently Married
Tragic
35.9%
Tragic
43.6%
Divorced or Separated
Tragic
12.9%
Exceptional
11.0%
Births to Unmarried Women
Tragic
51.5%
Good
30.9%

Pima vs Immigrants from Bangladesh Vehicle Availability

When considering vehicle availability, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in 4 or more vehicles in household (7.9% compared to 3.9%, a difference of 101.8%), no vehicles in household (14.1% compared to 25.8%, a difference of 82.2%), and 3 or more vehicles in household (22.0% compared to 12.5%, a difference of 76.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.3% compared to 74.3%, a difference of 16.1%), 2 or more vehicles in household (52.0% compared to 38.8%, a difference of 34.1%), and 3 or more vehicles in household (22.0% compared to 12.5%, a difference of 76.0%).
Pima vs Immigrants from Bangladesh Vehicle Availability
Vehicle Availability MetricPimaImmigrants from Bangladesh
No Vehicles Available
Tragic
14.1%
Tragic
25.8%
1+ Vehicles Available
Tragic
86.3%
Tragic
74.3%
2+ Vehicles Available
Tragic
52.0%
Tragic
38.8%
3+ Vehicles Available
Exceptional
22.0%
Tragic
12.5%
4+ Vehicles Available
Exceptional
7.9%
Tragic
3.9%

Pima vs Immigrants from Bangladesh Education Level

When considering education level, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in master's degree (9.2% compared to 15.5%, a difference of 67.3%), bachelor's degree (23.2% compared to 37.8%, a difference of 63.0%), and associate's degree (30.2% compared to 45.2%, a difference of 49.6%). Conversely, both communities are more comparable in terms of 10th grade (91.2% compared to 91.0%, a difference of 0.14%), 11th grade (88.3% compared to 89.5%, a difference of 1.4%), and nursery school (98.2% compared to 96.9%, a difference of 1.4%).
Pima vs Immigrants from Bangladesh Education Level
Education Level MetricPimaImmigrants from Bangladesh
No Schooling Completed
Average
2.1%
Tragic
3.1%
Nursery School
Exceptional
98.2%
Tragic
96.9%
Kindergarten
Exceptional
98.2%
Tragic
96.8%
1st Grade
Exceptional
98.2%
Tragic
96.8%
2nd Grade
Exceptional
98.2%
Tragic
96.7%
3rd Grade
Exceptional
98.0%
Tragic
96.6%
4th Grade
Exceptional
97.7%
Tragic
96.2%
5th Grade
Exceptional
97.6%
Tragic
96.0%
6th Grade
Excellent
97.2%
Tragic
95.4%
7th Grade
Good
96.1%
Tragic
94.0%
8th Grade
Fair
95.6%
Tragic
93.6%
9th Grade
Tragic
93.9%
Tragic
92.4%
10th Grade
Tragic
91.2%
Tragic
91.0%
11th Grade
Tragic
88.3%
Tragic
89.5%
12th Grade, No Diploma
Tragic
84.6%
Tragic
88.0%
High School Diploma
Tragic
81.6%
Tragic
85.5%
GED/Equivalency
Tragic
76.4%
Tragic
81.9%
College, Under 1 year
Tragic
51.4%
Tragic
61.3%
College, 1 year or more
Tragic
45.6%
Tragic
56.6%
Associate's Degree
Tragic
30.2%
Fair
45.2%
Bachelor's Degree
Tragic
23.2%
Average
37.8%
Master's Degree
Tragic
9.2%
Good
15.5%
Professional Degree
Tragic
3.3%
Average
4.4%
Doctorate Degree
Tragic
1.3%
Average
1.8%

Pima vs Immigrants from Bangladesh Disability

When considering disability, the most significant differences between Pima and Immigrants from Bangladesh communities in the United States are seen in disability age 65 to 74 (38.6% compared to 23.6%, a difference of 63.4%), vision disability (3.3% compared to 2.1%, a difference of 55.3%), and hearing disability (3.7% compared to 2.4%, a difference of 53.1%). Conversely, both communities are more comparable in terms of cognitive disability (18.8% compared to 17.8%, a difference of 5.3%), self-care disability (2.8% compared to 2.6%, a difference of 5.7%), and disability age over 75 (55.8% compared to 48.0%, a difference of 16.2%).
Pima vs Immigrants from Bangladesh Disability
Disability MetricPimaImmigrants from Bangladesh
Disability
Tragic
13.7%
Exceptional
11.0%
Males
Tragic
12.8%
Exceptional
10.3%
Females
Tragic
14.8%
Exceptional
11.8%
Age | Under 5 years
Exceptional
1.1%
Exceptional
0.85%
Age | 5 to 17 years
Tragic
6.2%
Exceptional
5.2%
Age | 18 to 34 years
Tragic
7.7%
Exceptional
5.6%
Age | 35 to 64 years
Tragic
16.1%
Excellent
10.9%
Age | 65 to 74 years
Tragic
38.6%
Fair
23.6%
Age | Over 75 years
Tragic
55.8%
Tragic
48.0%
Vision
Tragic
3.3%
Good
2.1%
Hearing
Tragic
3.7%
Exceptional
2.4%
Cognitive
Tragic
18.8%
Tragic
17.8%
Ambulatory
Tragic
8.2%
Fair
6.2%
Self-Care
Tragic
2.8%
Tragic
2.6%