Kenyan vs Indian (Asian) Community Comparison

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Kenyan
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Indian (Asian)
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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

Kenyans

Indians (Asian)

Good
Good
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
7,850
SOCIAL INDEX
76.0/ 100
SOCIAL RATING
101st/ 347
SOCIAL RANK

Indian (Asian) Integration in Kenyan Communities

The statistical analysis conducted on geographies consisting of 165,880,891 people shows a poor negative correlation between the proportion of Indians (Asian) within Kenyan communities in the United States with a correlation coefficient (R) of -0.188. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is a decrease of 0.139% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to a decrease of 139.1 Indians (Asian).
Kenyan Integration in Indian (Asian) Communities

Kenyan vs Indian (Asian) Income

When considering income, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($91,684 compared to $119,496, a difference of 30.3%), per capita income ($42,808 compared to $53,874, a difference of 25.9%), and median household income ($84,085 compared to $105,262, a difference of 25.2%). Conversely, both communities are more comparable in terms of wage/income gap (24.5% compared to 26.4%, a difference of 8.2%), householder income under 25 years ($50,815 compared to $58,239, a difference of 14.6%), and householder income over 65 years ($60,514 compared to $70,238, a difference of 16.1%).
Kenyan vs Indian (Asian) Income
Income MetricKenyanIndian (Asian)
Per Capita Income
Fair
$42,808
Exceptional
$53,874
Median Family Income
Fair
$101,417
Exceptional
$125,312
Median Household Income
Fair
$84,085
Exceptional
$105,262
Median Earnings
Average
$46,462
Exceptional
$56,253
Median Male Earnings
Fair
$53,647
Exceptional
$66,078
Median Female Earnings
Average
$39,860
Exceptional
$46,481
Householder Age | Under 25 years
Tragic
$50,815
Exceptional
$58,239
Householder Age | 25 - 44 years
Poor
$91,684
Exceptional
$119,496
Householder Age | 45 - 64 years
Fair
$98,970
Exceptional
$122,343
Householder Age | Over 65 years
Fair
$60,514
Exceptional
$70,238
Wage/Income Gap
Exceptional
24.5%
Poor
26.4%

Kenyan vs Indian (Asian) Poverty

When considering poverty, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (17.5% compared to 13.4%, a difference of 30.2%), child poverty among girls under 16 (16.8% compared to 13.3%, a difference of 26.2%), and child poverty under the age of 16 (16.5% compared to 13.1%, a difference of 25.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.8%, a difference of 0.80%), female poverty among 18-24 year olds (20.2% compared to 19.6%, a difference of 2.8%), and single father poverty (15.3% compared to 14.8%, a difference of 3.5%).
Kenyan vs Indian (Asian) Poverty
Poverty MetricKenyanIndian (Asian)
Poverty
Fair
12.5%
Exceptional
11.3%
Families
Average
8.9%
Exceptional
7.7%
Males
Fair
11.3%
Exceptional
10.4%
Females
Average
13.5%
Exceptional
12.2%
Females 18 to 24 years
Average
20.2%
Excellent
19.6%
Females 25 to 34 years
Average
13.5%
Exceptional
11.2%
Children Under 5 years
Fair
17.5%
Exceptional
13.4%
Children Under 16 years
Fair
16.5%
Exceptional
13.1%
Boys Under 16 years
Average
16.6%
Exceptional
13.3%
Girls Under 16 years
Fair
16.8%
Exceptional
13.3%
Single Males
Exceptional
12.4%
Exceptional
11.3%
Single Females
Good
20.8%
Exceptional
17.9%
Single Fathers
Exceptional
15.3%
Exceptional
14.8%
Single Mothers
Exceptional
28.4%
Exceptional
25.8%
Married Couples
Exceptional
4.8%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
10.3%
Fair
11.1%
Seniors Over 75 years
Exceptional
11.5%
Tragic
12.7%
Receiving Food Stamps
Good
11.6%
Exceptional
9.6%

Kenyan vs Indian (Asian) Unemployment

When considering unemployment, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.3%, a difference of 20.4%), unemployment among seniors over 75 years (9.1% compared to 8.0%, a difference of 14.0%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 7.7%, a difference of 13.7%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.3%, a difference of 0.12%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.12%), and male unemployment (5.2% compared to 5.2%, a difference of 0.29%).
Kenyan vs Indian (Asian) Unemployment
Unemployment MetricKenyanIndian (Asian)
Unemployment
Excellent
5.1%
Excellent
5.1%
Males
Good
5.2%
Good
5.2%
Females
Exceptional
5.0%
Excellent
5.1%
Youth < 25
Exceptional
11.2%
Good
11.5%
Age | 16 to 19 years
Exceptional
16.1%
Good
17.3%
Age | 20 to 24 years
Exceptional
9.9%
Good
10.3%
Age | 25 to 29 years
Exceptional
6.3%
Exceptional
6.3%
Age | 30 to 34 years
Exceptional
5.2%
Exceptional
5.1%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.3%
Good
4.5%
Age | 55 to 59 years
Exceptional
4.4%
Tragic
4.9%
Age | 60 to 64 years
Exceptional
4.6%
Tragic
5.0%
Age | 65 to 74 years
Exceptional
4.8%
Average
5.3%
Seniors > 65
Exceptional
4.7%
Average
5.2%
Seniors > 75
Tragic
9.1%
Exceptional
8.0%
Women w/ Children < 6
Good
7.6%
Exceptional
6.3%
Women w/ Children 6 to 17
Excellent
8.8%
Exceptional
7.7%
Women w/ Children < 18
Excellent
5.3%
Exceptional
4.9%

Kenyan vs Indian (Asian) Labor Participation

When considering labor participation, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 31.9%, a difference of 26.0%), in labor force | age 20-24 (77.0% compared to 71.9%, a difference of 7.1%), and in labor force | age > 16 (67.6% compared to 65.5%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.070%), in labor force | age 45-54 (83.7% compared to 83.3%, a difference of 0.48%), and in labor force | age 35-44 (85.2% compared to 84.8%, a difference of 0.51%).
Kenyan vs Indian (Asian) Labor Participation
Labor Participation MetricKenyanIndian (Asian)
In Labor Force | Age > 16
Exceptional
67.6%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
80.8%
Excellent
79.9%
In Labor Force | Age 16-19
Exceptional
40.1%
Tragic
31.9%
In Labor Force | Age 20-24
Exceptional
77.0%
Tragic
71.9%
In Labor Force | Age 25-29
Exceptional
85.4%
Good
84.7%
In Labor Force | Age 30-34
Exceptional
85.4%
Exceptional
85.4%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
84.8%
In Labor Force | Age 45-54
Exceptional
83.7%
Exceptional
83.3%

Kenyan vs Indian (Asian) Family Structure

When considering family structure, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in single mother households (7.0% compared to 5.1%, a difference of 36.3%), births to unmarried women (31.9% compared to 25.3%, a difference of 26.2%), and single father households (2.4% compared to 1.9%, a difference of 24.8%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.24, a difference of 0.90%), family households with children (28.4% compared to 27.6%, a difference of 2.9%), and family households (63.2% compared to 65.1%, a difference of 3.1%).
Kenyan vs Indian (Asian) Family Structure
Family Structure MetricKenyanIndian (Asian)
Family Households
Tragic
63.2%
Exceptional
65.1%
Family Households with Children
Exceptional
28.4%
Good
27.6%
Married-couple Households
Tragic
44.7%
Exceptional
48.7%
Average Family Size
Fair
3.21
Good
3.24
Single Father Households
Fair
2.4%
Exceptional
1.9%
Single Mother Households
Tragic
7.0%
Exceptional
5.1%
Currently Married
Tragic
45.2%
Exceptional
48.0%
Divorced or Separated
Fair
12.2%
Exceptional
10.2%
Births to Unmarried Women
Average
31.9%
Exceptional
25.3%

Kenyan vs Indian (Asian) Vehicle Availability

When considering vehicle availability, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in no vehicles in household (9.7% compared to 14.1%, a difference of 44.9%), 4 or more vehicles in household (6.1% compared to 6.4%, a difference of 5.7%), and 1 or more vehicles in household (90.4% compared to 86.0%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.1%, a difference of 0.13%), 2 or more vehicles in household (55.5% compared to 53.1%, a difference of 4.6%), and 1 or more vehicles in household (90.4% compared to 86.0%, a difference of 5.0%).
Kenyan vs Indian (Asian) Vehicle Availability
Vehicle Availability MetricKenyanIndian (Asian)
No Vehicles Available
Excellent
9.7%
Tragic
14.1%
1+ Vehicles Available
Excellent
90.4%
Tragic
86.0%
2+ Vehicles Available
Average
55.5%
Tragic
53.1%
3+ Vehicles Available
Fair
19.1%
Fair
19.1%
4+ Vehicles Available
Poor
6.1%
Good
6.4%

Kenyan vs Indian (Asian) Education Level

When considering education level, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in doctorate degree (1.9% compared to 2.9%, a difference of 49.3%), professional degree (4.4% compared to 6.5%, a difference of 48.0%), and master's degree (15.3% compared to 20.5%, a difference of 33.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.5%, a difference of 0.040%), high school diploma (89.6% compared to 89.6%, a difference of 0.060%), and nursery school (98.0% compared to 97.6%, a difference of 0.35%).
Kenyan vs Indian (Asian) Education Level
Education Level MetricKenyanIndian (Asian)
No Schooling Completed
Good
2.0%
Tragic
2.5%
Nursery School
Average
98.0%
Tragic
97.6%
Kindergarten
Average
98.0%
Tragic
97.6%
1st Grade
Average
97.9%
Tragic
97.5%
2nd Grade
Average
97.9%
Tragic
97.5%
3rd Grade
Average
97.8%
Tragic
97.4%
4th Grade
Average
97.5%
Tragic
97.2%
5th Grade
Average
97.4%
Tragic
96.9%
6th Grade
Good
97.1%
Tragic
96.6%
7th Grade
Good
96.2%
Tragic
95.5%
8th Grade
Good
95.9%
Tragic
95.2%
9th Grade
Good
95.1%
Tragic
94.5%
10th Grade
Good
94.0%
Poor
93.4%
11th Grade
Excellent
92.9%
Average
92.5%
12th Grade, No Diploma
Good
91.5%
Good
91.5%
High School Diploma
Excellent
89.6%
Good
89.6%
GED/Equivalency
Good
86.3%
Exceptional
87.1%
College, Under 1 year
Excellent
66.5%
Exceptional
70.8%
College, 1 year or more
Good
60.5%
Exceptional
66.1%
Associate's Degree
Good
47.1%
Exceptional
54.8%
Bachelor's Degree
Good
38.7%
Exceptional
47.4%
Master's Degree
Good
15.3%
Exceptional
20.5%
Professional Degree
Average
4.4%
Exceptional
6.5%
Doctorate Degree
Excellent
1.9%
Exceptional
2.9%

Kenyan vs Indian (Asian) Disability

When considering disability, the most significant differences between Kenyan and Indian (Asian) communities in the United States are seen in disability age 35 to 64 (11.4% compared to 8.9%, a difference of 28.4%), disability age 5 to 17 (5.8% compared to 4.6%, a difference of 25.9%), and disability age 18 to 34 (6.8% compared to 5.5%, a difference of 22.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.5%, a difference of 1.6%), self-care disability (2.3% compared to 2.3%, a difference of 1.7%), and hearing disability (2.8% compared to 2.7%, a difference of 5.0%).
Kenyan vs Indian (Asian) Disability
Disability MetricKenyanIndian (Asian)
Disability
Excellent
11.5%
Exceptional
10.3%
Males
Good
11.0%
Exceptional
9.7%
Females
Exceptional
11.9%
Exceptional
10.8%
Age | Under 5 years
Good
1.2%
Exceptional
1.0%
Age | 5 to 17 years
Poor
5.8%
Exceptional
4.6%
Age | 18 to 34 years
Poor
6.8%
Exceptional
5.5%
Age | 35 to 64 years
Fair
11.4%
Exceptional
8.9%
Age | 65 to 74 years
Fair
23.7%
Exceptional
20.5%
Age | Over 75 years
Average
47.2%
Exceptional
46.5%
Vision
Exceptional
2.1%
Exceptional
1.8%
Hearing
Excellent
2.8%
Exceptional
2.7%
Cognitive
Tragic
18.1%
Exceptional
16.8%
Ambulatory
Exceptional
5.8%
Exceptional
5.4%
Self-Care
Exceptional
2.3%
Exceptional
2.3%