Bangladeshi vs Zimbabwean Community Comparison

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Bangladeshi
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
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
Zimbabwean
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

Zimbabweans

Fair
Exceptional
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 43,719,688 people shows no correlation between the proportion of Zimbabweans within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.037. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.000% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 0.4 Zimbabweans.
Bangladeshi Integration in Zimbabwean Communities

Bangladeshi vs Zimbabwean Income

When considering income, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in per capita income ($35,897 compared to $45,804, a difference of 27.6%), median family income ($88,358 compared to $110,011, a difference of 24.5%), and householder income ages 45 - 64 years ($86,402 compared to $106,849, a difference of 23.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $51,259, a difference of 7.7%), median female earnings ($35,960 compared to $40,798, a difference of 13.5%), and median earnings ($41,263 compared to $48,229, a difference of 16.9%).
Bangladeshi vs Zimbabwean Income
Income MetricBangladeshiZimbabwean
Per Capita Income
Tragic
$35,897
Exceptional
$45,804
Median Family Income
Tragic
$88,358
Exceptional
$110,011
Median Household Income
Tragic
$74,112
Exceptional
$90,618
Median Earnings
Tragic
$41,263
Exceptional
$48,229
Median Male Earnings
Tragic
$46,744
Excellent
$56,302
Median Female Earnings
Tragic
$35,960
Exceptional
$40,798
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$51,259
Householder Age | 25 - 44 years
Tragic
$81,363
Exceptional
$98,586
Householder Age | 45 - 64 years
Tragic
$86,402
Exceptional
$106,849
Householder Age | Over 65 years
Tragic
$54,719
Exceptional
$65,854
Wage/Income Gap
Exceptional
22.2%
Fair
26.3%

Bangladeshi vs Zimbabwean Poverty

When considering poverty, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in receiving food stamps (15.0% compared to 9.5%, a difference of 58.7%), married-couple family poverty (6.0% compared to 4.1%, a difference of 47.3%), and child poverty under the age of 16 (19.9% compared to 14.2%, a difference of 40.5%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.1%, a difference of 1.9%), single father poverty (15.2% compared to 15.6%, a difference of 2.6%), and seniors poverty over the age of 75 (12.0% compared to 11.2%, a difference of 7.3%).
Bangladeshi vs Zimbabwean Poverty
Poverty MetricBangladeshiZimbabwean
Poverty
Tragic
14.8%
Exceptional
11.3%
Families
Tragic
10.9%
Exceptional
7.8%
Males
Tragic
13.6%
Exceptional
10.2%
Females
Tragic
16.0%
Exceptional
12.3%
Females 18 to 24 years
Tragic
22.5%
Fair
20.4%
Females 25 to 34 years
Tragic
15.9%
Exceptional
11.7%
Children Under 5 years
Tragic
20.6%
Exceptional
15.2%
Children Under 16 years
Tragic
19.9%
Exceptional
14.2%
Boys Under 16 years
Tragic
20.0%
Exceptional
14.3%
Girls Under 16 years
Tragic
20.0%
Exceptional
14.4%
Single Males
Tragic
13.3%
Poor
13.1%
Single Females
Tragic
24.2%
Exceptional
19.5%
Single Fathers
Exceptional
15.2%
Exceptional
15.6%
Single Mothers
Tragic
31.7%
Exceptional
27.9%
Married Couples
Tragic
6.0%
Exceptional
4.1%
Seniors Over 65 years
Fair
11.2%
Exceptional
9.6%
Seniors Over 75 years
Good
12.0%
Exceptional
11.2%
Receiving Food Stamps
Tragic
15.0%
Exceptional
9.5%

Bangladeshi vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in male unemployment (5.7% compared to 4.8%, a difference of 18.7%), unemployment among women with children ages 6 to 17 years (7.4% compared to 8.6%, a difference of 17.5%), and unemployment (5.4% compared to 4.8%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.3%, a difference of 2.2%), unemployment among ages 60 to 64 years (4.6% compared to 4.5%, a difference of 2.2%), and unemployment among women with children under 18 years (5.3% compared to 5.1%, a difference of 4.0%).
Bangladeshi vs Zimbabwean Unemployment
Unemployment MetricBangladeshiZimbabwean
Unemployment
Poor
5.4%
Exceptional
4.8%
Males
Tragic
5.7%
Exceptional
4.8%
Females
Good
5.2%
Exceptional
4.8%
Youth < 25
Average
11.6%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
15.4%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.2%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.4%
Age | 30 to 34 years
Good
5.3%
Exceptional
4.8%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.3%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.2%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.5%
Age | 65 to 74 years
Good
5.3%
Tragic
5.9%
Seniors > 65
Fair
5.2%
Tragic
5.6%
Seniors > 75
Tragic
9.6%
Average
8.7%
Women w/ Children < 6
Good
7.5%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
7.4%
Exceptional
8.6%
Women w/ Children < 18
Good
5.3%
Exceptional
5.1%

Bangladeshi vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 38.7%, a difference of 9.7%), in labor force | age 45-54 (81.3% compared to 84.0%, a difference of 3.3%), and in labor force | age 20-24 (78.1% compared to 75.6%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.5%, a difference of 0.67%), in labor force | age 30-34 (84.3% compared to 85.6%, a difference of 1.5%), and in labor force | age > 16 (65.9% compared to 67.3%, a difference of 2.1%).
Bangladeshi vs Zimbabwean Labor Participation
Labor Participation MetricBangladeshiZimbabwean
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
67.3%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
78.1%
Excellent
75.6%
In Labor Force | Age 25-29
Exceptional
85.1%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
86.1%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
84.0%

Bangladeshi vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in single father households (3.1% compared to 2.2%, a difference of 38.9%), single mother households (8.1% compared to 6.1%, a difference of 34.2%), and births to unmarried women (34.4% compared to 28.7%, a difference of 19.9%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.1%, a difference of 0.30%), average family size (3.37 compared to 3.20, a difference of 5.2%), and divorced or separated (12.3% compared to 11.6%, a difference of 6.1%).
Bangladeshi vs Zimbabwean Family Structure
Family Structure MetricBangladeshiZimbabwean
Family Households
Average
64.3%
Fair
64.1%
Family Households with Children
Exceptional
30.1%
Exceptional
27.9%
Married-couple Households
Tragic
43.5%
Excellent
47.4%
Average Family Size
Exceptional
3.37
Poor
3.20
Single Father Households
Tragic
3.1%
Exceptional
2.2%
Single Mother Households
Tragic
8.1%
Excellent
6.1%
Currently Married
Tragic
43.7%
Good
47.0%
Divorced or Separated
Poor
12.3%
Exceptional
11.6%
Births to Unmarried Women
Tragic
34.4%
Exceptional
28.7%

Bangladeshi vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 17.3%), 3 or more vehicles in household (21.9% compared to 20.3%, a difference of 7.9%), and no vehicles in household (8.7% compared to 9.0%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.0%, a difference of 0.41%), 2 or more vehicles in household (58.4% compared to 57.2%, a difference of 2.1%), and no vehicles in household (8.7% compared to 9.0%, a difference of 4.3%).
Bangladeshi vs Zimbabwean Vehicle Availability
Vehicle Availability MetricBangladeshiZimbabwean
No Vehicles Available
Exceptional
8.7%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
91.4%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
58.4%
Exceptional
57.2%
3+ Vehicles Available
Exceptional
21.9%
Excellent
20.3%
4+ Vehicles Available
Exceptional
7.6%
Good
6.4%

Bangladeshi vs Zimbabwean Education Level

When considering education level, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in no schooling completed (3.5% compared to 1.7%, a difference of 104.9%), doctorate degree (1.2% compared to 2.3%, a difference of 87.6%), and master's degree (10.5% compared to 17.7%, a difference of 69.1%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.3%, a difference of 1.8%), kindergarten (96.6% compared to 98.3%, a difference of 1.8%), and 1st grade (96.5% compared to 98.3%, a difference of 1.8%).
Bangladeshi vs Zimbabwean Education Level
Education Level MetricBangladeshiZimbabwean
No Schooling Completed
Tragic
3.5%
Exceptional
1.7%
Nursery School
Tragic
96.6%
Exceptional
98.3%
Kindergarten
Tragic
96.6%
Exceptional
98.3%
1st Grade
Tragic
96.5%
Exceptional
98.3%
2nd Grade
Tragic
96.5%
Exceptional
98.2%
3rd Grade
Tragic
96.3%
Exceptional
98.1%
4th Grade
Tragic
96.1%
Exceptional
97.9%
5th Grade
Tragic
95.9%
Exceptional
97.8%
6th Grade
Tragic
95.7%
Exceptional
97.6%
7th Grade
Tragic
94.5%
Exceptional
96.8%
8th Grade
Tragic
94.3%
Exceptional
96.5%
9th Grade
Tragic
93.4%
Exceptional
95.9%
10th Grade
Tragic
92.2%
Exceptional
94.9%
11th Grade
Tragic
90.9%
Exceptional
93.9%
12th Grade, No Diploma
Tragic
89.3%
Exceptional
92.7%
High School Diploma
Tragic
86.9%
Exceptional
91.1%
GED/Equivalency
Tragic
83.1%
Exceptional
88.0%
College, Under 1 year
Tragic
61.4%
Exceptional
69.9%
College, 1 year or more
Tragic
54.5%
Exceptional
64.2%
Associate's Degree
Tragic
40.0%
Exceptional
51.3%
Bachelor's Degree
Tragic
30.2%
Exceptional
43.3%
Master's Degree
Tragic
10.5%
Exceptional
17.7%
Professional Degree
Tragic
3.1%
Exceptional
5.2%
Doctorate Degree
Tragic
1.2%
Exceptional
2.3%

Bangladeshi vs Zimbabwean Disability

When considering disability, the most significant differences between Bangladeshi and Zimbabwean communities in the United States are seen in self-care disability (2.8% compared to 2.2%, a difference of 31.1%), disability age 35 to 64 (13.6% compared to 10.4%, a difference of 30.4%), and disability age 65 to 74 (26.8% compared to 21.5%, a difference of 24.5%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 48.1%, a difference of 2.9%), disability age 5 to 17 (5.8% compared to 5.5%, a difference of 4.6%), and cognitive disability (18.6% compared to 17.6%, a difference of 5.7%).
Bangladeshi vs Zimbabwean Disability
Disability MetricBangladeshiZimbabwean
Disability
Tragic
12.6%
Exceptional
10.9%
Males
Tragic
12.0%
Exceptional
10.6%
Females
Tragic
13.1%
Exceptional
11.3%
Age | Under 5 years
Poor
1.3%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
5.8%
Good
5.5%
Age | 18 to 34 years
Tragic
7.4%
Good
6.5%
Age | 35 to 64 years
Tragic
13.6%
Exceptional
10.4%
Age | 65 to 74 years
Tragic
26.8%
Exceptional
21.5%
Age | Over 75 years
Tragic
49.4%
Tragic
48.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.2%
Excellent
2.8%
Cognitive
Tragic
18.6%
Tragic
17.6%
Ambulatory
Poor
6.3%
Exceptional
5.4%
Self-Care
Tragic
2.8%
Exceptional
2.2%