Immigrants from Kenya vs Bangladeshi Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Immigrants from Kenya

Bangladeshis

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

Bangladeshi Integration in Immigrants from Kenya Communities

The statistical analysis conducted on geographies consisting of 98,699,209 people shows a mild negative correlation between the proportion of Bangladeshis within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of -0.329. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is a decrease of 0.326% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to a decrease of 325.7 Bangladeshis.
Immigrants from Kenya Integration in Bangladeshi Communities

Immigrants from Kenya vs Bangladeshi Income

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

Immigrants from Kenya vs Bangladeshi Poverty

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

Immigrants from Kenya vs Bangladeshi Unemployment

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

Immigrants from Kenya vs Bangladeshi Labor Participation

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

Immigrants from Kenya vs Bangladeshi Family Structure

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

Immigrants from Kenya vs Bangladeshi Vehicle Availability

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

Immigrants from Kenya vs Bangladeshi Education Level

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

Immigrants from Kenya vs Bangladeshi Disability

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