Bangladeshi vs Immigrants from Kenya Community Comparison

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Bangladeshi
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
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKoreaKuwaitLaosLatin 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 Kenya
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

Immigrants from Kenya

Fair
Average
2,611
SOCIAL INDEX
23.6/ 100
SOCIAL RATING
249th/ 347
SOCIAL RANK
6,037
SOCIAL INDEX
57.9/ 100
SOCIAL RATING
165th/ 347
SOCIAL RANK

Immigrants from Kenya Integration in Bangladeshi Communities

The statistical analysis conducted on geographies consisting of 98,690,883 people shows a substantial positive correlation between the proportion of Immigrants from Kenya within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.503. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.016% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 15.7 Immigrants from Kenya.
Bangladeshi Integration in Immigrants from Kenya Communities

Bangladeshi vs Immigrants from Kenya Income

When considering income, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in per capita income ($35,897 compared to $42,661, a difference of 18.8%), median male earnings ($46,744 compared to $53,427, a difference of 14.3%), and median family income ($88,358 compared to $100,679, a difference of 14.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $49,633, a difference of 4.3%), householder income over 65 years ($54,719 compared to $59,710, a difference of 9.1%), and median female earnings ($35,960 compared to $39,535, a difference of 9.9%).
Bangladeshi vs Immigrants from Kenya Income
Income MetricBangladeshiImmigrants from Kenya
Per Capita Income
Tragic
$35,897
Fair
$42,661
Median Family Income
Tragic
$88,358
Fair
$100,679
Median Household Income
Tragic
$74,112
Fair
$83,068
Median Earnings
Tragic
$41,263
Average
$46,214
Median Male Earnings
Tragic
$46,744
Fair
$53,427
Median Female Earnings
Tragic
$35,960
Average
$39,535
Householder Age | Under 25 years
Tragic
$47,589
Tragic
$49,633
Householder Age | 25 - 44 years
Tragic
$81,363
Poor
$90,767
Householder Age | 45 - 64 years
Tragic
$86,402
Fair
$97,964
Householder Age | Over 65 years
Tragic
$54,719
Fair
$59,710
Wage/Income Gap
Exceptional
22.2%
Exceptional
24.4%

Bangladeshi vs Immigrants from Kenya Poverty

When considering poverty, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in receiving food stamps (15.0% compared to 11.8%, a difference of 27.5%), married-couple family poverty (6.0% compared to 4.9%, a difference of 23.1%), and family poverty (10.9% compared to 9.2%, a difference of 18.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 11.9%, a difference of 0.22%), single father poverty (15.2% compared to 15.0%, a difference of 1.4%), and seniors poverty over the age of 65 (11.2% compared to 10.5%, a difference of 6.2%).
Bangladeshi vs Immigrants from Kenya Poverty
Poverty MetricBangladeshiImmigrants from Kenya
Poverty
Tragic
14.8%
Poor
12.8%
Families
Tragic
10.9%
Fair
9.2%
Males
Tragic
13.6%
Poor
11.6%
Females
Tragic
16.0%
Fair
13.9%
Females 18 to 24 years
Tragic
22.5%
Tragic
21.0%
Females 25 to 34 years
Tragic
15.9%
Fair
13.8%
Children Under 5 years
Tragic
20.6%
Fair
17.9%
Children Under 16 years
Tragic
19.9%
Poor
16.9%
Boys Under 16 years
Tragic
20.0%
Fair
17.1%
Girls Under 16 years
Tragic
20.0%
Poor
17.2%
Single Males
Tragic
13.3%
Excellent
12.5%
Single Females
Tragic
24.2%
Fair
21.4%
Single Fathers
Exceptional
15.2%
Exceptional
15.0%
Single Mothers
Tragic
31.7%
Good
28.9%
Married Couples
Tragic
6.0%
Exceptional
4.9%
Seniors Over 65 years
Fair
11.2%
Excellent
10.5%
Seniors Over 75 years
Good
12.0%
Good
11.9%
Receiving Food Stamps
Tragic
15.0%
Average
11.8%

Bangladeshi vs Immigrants from Kenya Unemployment

When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.8%, a difference of 19.4%), male unemployment (5.7% compared to 5.2%, a difference of 9.1%), and unemployment among seniors over 75 years (9.6% compared to 8.8%, a difference of 8.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.4%, a difference of 0.090%), unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.17%), and unemployment among ages 20 to 24 years (10.0% compared to 9.7%, a difference of 2.4%).
Bangladeshi vs Immigrants from Kenya Unemployment
Unemployment MetricBangladeshiImmigrants from Kenya
Unemployment
Poor
5.4%
Excellent
5.1%
Males
Tragic
5.7%
Good
5.2%
Females
Good
5.2%
Exceptional
5.0%
Youth < 25
Average
11.6%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
16.9%
Exceptional
16.2%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.7%
Age | 25 to 29 years
Average
6.6%
Exceptional
6.1%
Age | 30 to 34 years
Good
5.3%
Exceptional
5.2%
Age | 35 to 44 years
Fair
4.8%
Exceptional
4.4%
Age | 45 to 54 years
Average
4.5%
Exceptional
4.4%
Age | 55 to 59 years
Exceptional
4.7%
Exceptional
4.5%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.6%
Age | 65 to 74 years
Good
5.3%
Exceptional
5.1%
Seniors > 65
Fair
5.2%
Exceptional
4.9%
Seniors > 75
Tragic
9.6%
Fair
8.8%
Women w/ Children < 6
Good
7.5%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
7.4%
Excellent
8.8%
Women w/ Children < 18
Good
5.3%
Good
5.4%

Bangladeshi vs Immigrants from Kenya Labor Participation

When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.5%, a difference of 4.8%), in labor force | age 45-54 (81.3% compared to 83.5%, a difference of 2.6%), and in labor force | age > 16 (65.9% compared to 67.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.4%, a difference of 0.43%), in labor force | age 35-44 (84.1% compared to 85.1%, a difference of 1.2%), and in labor force | age 30-34 (84.3% compared to 85.5%, a difference of 1.4%).
Bangladeshi vs Immigrants from Kenya Labor Participation
Labor Participation MetricBangladeshiImmigrants from Kenya
In Labor Force | Age > 16
Exceptional
65.9%
Exceptional
67.6%
In Labor Force | Age 20-64
Poor
79.3%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
42.5%
Exceptional
40.5%
In Labor Force | Age 20-24
Exceptional
78.1%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.1%
Exceptional
85.4%
In Labor Force | Age 30-34
Tragic
84.3%
Exceptional
85.5%
In Labor Force | Age 35-44
Poor
84.1%
Exceptional
85.1%
In Labor Force | Age 45-54
Tragic
81.3%
Exceptional
83.5%

Bangladeshi vs Immigrants from Kenya Family Structure

When considering family structure, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 28.1%), single mother households (8.1% compared to 7.0%, a difference of 16.7%), and births to unmarried women (34.4% compared to 32.1%, a difference of 7.3%). Conversely, both communities are more comparable in terms of divorced or separated (12.3% compared to 12.2%, a difference of 0.45%), married-couple households (43.5% compared to 44.1%, a difference of 1.2%), and currently married (43.7% compared to 44.9%, a difference of 2.7%).
Bangladeshi vs Immigrants from Kenya Family Structure
Family Structure MetricBangladeshiImmigrants from Kenya
Family Households
Average
64.3%
Tragic
62.3%
Family Households with Children
Exceptional
30.1%
Exceptional
28.1%
Married-couple Households
Tragic
43.5%
Tragic
44.1%
Average Family Size
Exceptional
3.37
Poor
3.21
Single Father Households
Tragic
3.1%
Fair
2.4%
Single Mother Households
Tragic
8.1%
Tragic
7.0%
Currently Married
Tragic
43.7%
Tragic
44.9%
Divorced or Separated
Poor
12.3%
Poor
12.2%
Births to Unmarried Women
Tragic
34.4%
Fair
32.1%

Bangladeshi vs Immigrants from Kenya Vehicle Availability

When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.0%, a difference of 26.7%), 3 or more vehicles in household (21.9% compared to 18.8%, a difference of 16.4%), and no vehicles in household (8.7% compared to 9.6%, a difference of 11.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), 2 or more vehicles in household (58.4% compared to 55.1%, a difference of 6.0%), and no vehicles in household (8.7% compared to 9.6%, a difference of 11.3%).
Bangladeshi vs Immigrants from Kenya Vehicle Availability
Vehicle Availability MetricBangladeshiImmigrants from Kenya
No Vehicles Available
Exceptional
8.7%
Excellent
9.6%
1+ Vehicles Available
Exceptional
91.4%
Excellent
90.4%
2+ Vehicles Available
Exceptional
58.4%
Average
55.1%
3+ Vehicles Available
Exceptional
21.9%
Poor
18.8%
4+ Vehicles Available
Exceptional
7.6%
Tragic
6.0%

Bangladeshi vs Immigrants from Kenya Education Level

When considering education level, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in no schooling completed (3.5% compared to 2.1%, a difference of 66.2%), doctorate degree (1.2% compared to 1.9%, a difference of 57.7%), and master's degree (10.5% compared to 15.3%, a difference of 45.5%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 97.9%, a difference of 1.3%), kindergarten (96.6% compared to 97.9%, a difference of 1.3%), and 1st grade (96.5% compared to 97.8%, a difference of 1.4%).
Bangladeshi vs Immigrants from Kenya Education Level
Education Level MetricBangladeshiImmigrants from Kenya
No Schooling Completed
Tragic
3.5%
Fair
2.1%
Nursery School
Tragic
96.6%
Fair
97.9%
Kindergarten
Tragic
96.6%
Fair
97.9%
1st Grade
Tragic
96.5%
Fair
97.8%
2nd Grade
Tragic
96.5%
Fair
97.8%
3rd Grade
Tragic
96.3%
Fair
97.7%
4th Grade
Tragic
96.1%
Fair
97.5%
5th Grade
Tragic
95.9%
Average
97.3%
6th Grade
Tragic
95.7%
Average
97.0%
7th Grade
Tragic
94.5%
Good
96.1%
8th Grade
Tragic
94.3%
Good
95.8%
9th Grade
Tragic
93.4%
Good
95.0%
10th Grade
Tragic
92.2%
Good
94.0%
11th Grade
Tragic
90.9%
Good
92.8%
12th Grade, No Diploma
Tragic
89.3%
Good
91.5%
High School Diploma
Tragic
86.9%
Good
89.6%
GED/Equivalency
Tragic
83.1%
Good
86.2%
College, Under 1 year
Tragic
61.4%
Excellent
66.5%
College, 1 year or more
Tragic
54.5%
Good
60.5%
Associate's Degree
Tragic
40.0%
Good
47.2%
Bachelor's Degree
Tragic
30.2%
Good
38.8%
Master's Degree
Tragic
10.5%
Good
15.3%
Professional Degree
Tragic
3.1%
Average
4.4%
Doctorate Degree
Tragic
1.2%
Good
1.9%

Bangladeshi vs Immigrants from Kenya Disability

When considering disability, the most significant differences between Bangladeshi and Immigrants from Kenya communities in the United States are seen in self-care disability (2.8% compared to 2.3%, a difference of 20.8%), disability age 35 to 64 (13.6% compared to 11.6%, a difference of 17.3%), and disability age 65 to 74 (26.8% compared to 23.8%, a difference of 12.7%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.41%), cognitive disability (18.6% compared to 18.3%, a difference of 1.6%), and disability age under 5 (1.3% compared to 1.2%, a difference of 3.7%).
Bangladeshi vs Immigrants from Kenya Disability
Disability MetricBangladeshiImmigrants from Kenya
Disability
Tragic
12.6%
Good
11.6%
Males
Tragic
12.0%
Good
11.1%
Females
Tragic
13.1%
Excellent
12.0%
Age | Under 5 years
Poor
1.3%
Average
1.2%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.4%
Tragic
6.9%
Age | 35 to 64 years
Tragic
13.6%
Poor
11.6%
Age | 65 to 74 years
Tragic
26.8%
Poor
23.8%
Age | Over 75 years
Tragic
49.4%
Fair
47.6%
Vision
Tragic
2.3%
Excellent
2.1%
Hearing
Tragic
3.2%
Excellent
2.9%
Cognitive
Tragic
18.6%
Tragic
18.3%
Ambulatory
Poor
6.3%
Exceptional
5.8%
Self-Care
Tragic
2.8%
Exceptional
2.3%