Immigrants from Bangladesh vs Pima Community Comparison

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Immigrants from Bangladesh
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/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

Pima

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

Pima Integration in Immigrants from Bangladesh Communities

The statistical analysis conducted on geographies consisting of 47,803,668 people shows a slight negative correlation between the proportion of Pima within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.086. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.010% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 10.5 Pima.
Immigrants from Bangladesh Integration in Pima Communities

Immigrants from Bangladesh vs Pima Income

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

Immigrants from Bangladesh vs Pima Poverty

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

Immigrants from Bangladesh vs Pima Unemployment

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

Immigrants from Bangladesh vs Pima Labor Participation

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

Immigrants from Bangladesh vs Pima Family Structure

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

Immigrants from Bangladesh vs Pima Vehicle Availability

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

Immigrants from Bangladesh vs Pima Education Level

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

Immigrants from Bangladesh vs Pima Disability

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