Zimbabwean vs Kenyan Community Comparison

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Zimbabwean
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch 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
Kenyan
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican 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'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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Zimbabweans

Kenyans

Exceptional
Good
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK

Kenyan Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 54,082,632 people shows a poor positive correlation between the proportion of Kenyans within Zimbabwean communities in the United States with a correlation coefficient (R) of 0.129. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is an increase of 0.024% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to an increase of 24.1 Kenyans.
Zimbabwean Integration in Kenyan Communities

Zimbabwean vs Kenyan Income

When considering income, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in householder income over 65 years ($65,854 compared to $60,514, a difference of 8.8%), median family income ($110,011 compared to $101,417, a difference of 8.5%), and householder income ages 45 - 64 years ($106,849 compared to $98,970, a difference of 8.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,259 compared to $50,815, a difference of 0.88%), median female earnings ($40,798 compared to $39,860, a difference of 2.4%), and median earnings ($48,229 compared to $46,462, a difference of 3.8%).
Zimbabwean vs Kenyan Income
Income MetricZimbabweanKenyan
Per Capita Income
Exceptional
$45,804
Fair
$42,808
Median Family Income
Exceptional
$110,011
Fair
$101,417
Median Household Income
Exceptional
$90,618
Fair
$84,085
Median Earnings
Exceptional
$48,229
Average
$46,462
Median Male Earnings
Excellent
$56,302
Fair
$53,647
Median Female Earnings
Exceptional
$40,798
Average
$39,860
Householder Age | Under 25 years
Tragic
$51,259
Tragic
$50,815
Householder Age | 25 - 44 years
Exceptional
$98,586
Poor
$91,684
Householder Age | 45 - 64 years
Exceptional
$106,849
Fair
$98,970
Householder Age | Over 65 years
Exceptional
$65,854
Fair
$60,514
Wage/Income Gap
Fair
26.3%
Exceptional
24.5%

Zimbabwean vs Kenyan Poverty

When considering poverty, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in receiving food stamps (9.5% compared to 11.6%, a difference of 22.0%), married-couple family poverty (4.1% compared to 4.8%, a difference of 17.2%), and child poverty among girls under 16 (14.4% compared to 16.8%, a difference of 17.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.4% compared to 20.2%, a difference of 1.4%), single mother poverty (27.9% compared to 28.4%, a difference of 1.5%), and single father poverty (15.6% compared to 15.3%, a difference of 1.8%).
Zimbabwean vs Kenyan Poverty
Poverty MetricZimbabweanKenyan
Poverty
Exceptional
11.3%
Fair
12.5%
Families
Exceptional
7.8%
Average
8.9%
Males
Exceptional
10.2%
Fair
11.3%
Females
Exceptional
12.3%
Average
13.5%
Females 18 to 24 years
Fair
20.4%
Average
20.2%
Females 25 to 34 years
Exceptional
11.7%
Average
13.5%
Children Under 5 years
Exceptional
15.2%
Fair
17.5%
Children Under 16 years
Exceptional
14.2%
Fair
16.5%
Boys Under 16 years
Exceptional
14.3%
Average
16.6%
Girls Under 16 years
Exceptional
14.4%
Fair
16.8%
Single Males
Poor
13.1%
Exceptional
12.4%
Single Females
Exceptional
19.5%
Good
20.8%
Single Fathers
Exceptional
15.6%
Exceptional
15.3%
Single Mothers
Exceptional
27.9%
Exceptional
28.4%
Married Couples
Exceptional
4.1%
Exceptional
4.8%
Seniors Over 65 years
Exceptional
9.6%
Exceptional
10.3%
Seniors Over 75 years
Exceptional
11.2%
Exceptional
11.5%
Receiving Food Stamps
Exceptional
9.5%
Good
11.6%

Zimbabwean vs Kenyan Unemployment

When considering unemployment, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in unemployment among ages 65 to 74 years (5.9% compared to 4.8%, a difference of 23.2%), unemployment among seniors over 65 years (5.6% compared to 4.7%, a difference of 17.8%), and unemployment among youth under 25 years (10.2% compared to 11.2%, a difference of 10.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.6% compared to 8.8%, a difference of 1.7%), unemployment among ages 25 to 29 years (6.4% compared to 6.3%, a difference of 2.0%), and unemployment among ages 60 to 64 years (4.5% compared to 4.6%, a difference of 2.1%).
Zimbabwean vs Kenyan Unemployment
Unemployment MetricZimbabweanKenyan
Unemployment
Exceptional
4.8%
Excellent
5.1%
Males
Exceptional
4.8%
Good
5.2%
Females
Exceptional
4.8%
Exceptional
5.0%
Youth < 25
Exceptional
10.2%
Exceptional
11.2%
Age | 16 to 19 years
Exceptional
15.4%
Exceptional
16.1%
Age | 20 to 24 years
Exceptional
9.2%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
6.3%
Age | 30 to 34 years
Exceptional
4.8%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
4.2%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.2%
Exceptional
4.4%
Age | 60 to 64 years
Exceptional
4.5%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
5.9%
Exceptional
4.8%
Seniors > 65
Tragic
5.6%
Exceptional
4.7%
Seniors > 75
Average
8.7%
Tragic
9.1%
Women w/ Children < 6
Exceptional
7.3%
Good
7.6%
Women w/ Children 6 to 17
Exceptional
8.6%
Excellent
8.8%
Women w/ Children < 18
Exceptional
5.1%
Excellent
5.3%

Zimbabwean vs Kenyan Labor Participation

When considering labor participation, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 40.1%, a difference of 3.7%), in labor force | age 20-24 (75.6% compared to 77.0%, a difference of 1.8%), and in labor force | age 25-29 (84.5% compared to 85.4%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (81.0% compared to 80.8%, a difference of 0.17%), in labor force | age 30-34 (85.6% compared to 85.4%, a difference of 0.25%), and in labor force | age 45-54 (84.0% compared to 83.7%, a difference of 0.37%).
Zimbabwean vs Kenyan Labor Participation
Labor Participation MetricZimbabweanKenyan
In Labor Force | Age > 16
Exceptional
67.3%
Exceptional
67.6%
In Labor Force | Age 20-64
Exceptional
81.0%
Exceptional
80.8%
In Labor Force | Age 16-19
Exceptional
38.7%
Exceptional
40.1%
In Labor Force | Age 20-24
Excellent
75.6%
Exceptional
77.0%
In Labor Force | Age 25-29
Fair
84.5%
Exceptional
85.4%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.4%
In Labor Force | Age 35-44
Exceptional
86.1%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
84.0%
Exceptional
83.7%

Zimbabwean vs Kenyan Family Structure

When considering family structure, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in single mother households (6.1% compared to 7.0%, a difference of 14.8%), births to unmarried women (28.7% compared to 31.9%, a difference of 11.1%), and single father households (2.2% compared to 2.4%, a difference of 7.6%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.21, a difference of 0.45%), family households (64.1% compared to 63.2%, a difference of 1.4%), and family households with children (27.9% compared to 28.4%, a difference of 1.7%).
Zimbabwean vs Kenyan Family Structure
Family Structure MetricZimbabweanKenyan
Family Households
Fair
64.1%
Tragic
63.2%
Family Households with Children
Exceptional
27.9%
Exceptional
28.4%
Married-couple Households
Excellent
47.4%
Tragic
44.7%
Average Family Size
Poor
3.20
Fair
3.21
Single Father Households
Exceptional
2.2%
Fair
2.4%
Single Mother Households
Excellent
6.1%
Tragic
7.0%
Currently Married
Good
47.0%
Tragic
45.2%
Divorced or Separated
Exceptional
11.6%
Fair
12.2%
Births to Unmarried Women
Exceptional
28.7%
Average
31.9%

Zimbabwean vs Kenyan Vehicle Availability

When considering vehicle availability, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in no vehicles in household (9.0% compared to 9.7%, a difference of 7.3%), 3 or more vehicles in household (20.3% compared to 19.1%, a difference of 6.1%), and 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 5.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.0% compared to 90.4%, a difference of 0.72%), 2 or more vehicles in household (57.2% compared to 55.5%, a difference of 3.1%), and 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 5.8%).
Zimbabwean vs Kenyan Vehicle Availability
Vehicle Availability MetricZimbabweanKenyan
No Vehicles Available
Exceptional
9.0%
Excellent
9.7%
1+ Vehicles Available
Exceptional
91.0%
Excellent
90.4%
2+ Vehicles Available
Exceptional
57.2%
Average
55.5%
3+ Vehicles Available
Excellent
20.3%
Fair
19.1%
4+ Vehicles Available
Good
6.4%
Poor
6.1%

Zimbabwean vs Kenyan Education Level

When considering education level, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in no schooling completed (1.7% compared to 2.0%, a difference of 18.4%), professional degree (5.2% compared to 4.4%, a difference of 18.0%), and doctorate degree (2.3% compared to 1.9%, a difference of 16.6%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 98.0%, a difference of 0.33%), kindergarten (98.3% compared to 98.0%, a difference of 0.33%), and 1st grade (98.3% compared to 97.9%, a difference of 0.34%).
Zimbabwean vs Kenyan Education Level
Education Level MetricZimbabweanKenyan
No Schooling Completed
Exceptional
1.7%
Good
2.0%
Nursery School
Exceptional
98.3%
Average
98.0%
Kindergarten
Exceptional
98.3%
Average
98.0%
1st Grade
Exceptional
98.3%
Average
97.9%
2nd Grade
Exceptional
98.2%
Average
97.9%
3rd Grade
Exceptional
98.1%
Average
97.8%
4th Grade
Exceptional
97.9%
Average
97.5%
5th Grade
Exceptional
97.8%
Average
97.4%
6th Grade
Exceptional
97.6%
Good
97.1%
7th Grade
Exceptional
96.8%
Good
96.2%
8th Grade
Exceptional
96.5%
Good
95.9%
9th Grade
Exceptional
95.9%
Good
95.1%
10th Grade
Exceptional
94.9%
Good
94.0%
11th Grade
Exceptional
93.9%
Excellent
92.9%
12th Grade, No Diploma
Exceptional
92.7%
Good
91.5%
High School Diploma
Exceptional
91.1%
Excellent
89.6%
GED/Equivalency
Exceptional
88.0%
Good
86.3%
College, Under 1 year
Exceptional
69.9%
Excellent
66.5%
College, 1 year or more
Exceptional
64.2%
Good
60.5%
Associate's Degree
Exceptional
51.3%
Good
47.1%
Bachelor's Degree
Exceptional
43.3%
Good
38.7%
Master's Degree
Exceptional
17.7%
Good
15.3%
Professional Degree
Exceptional
5.2%
Average
4.4%
Doctorate Degree
Exceptional
2.3%
Excellent
1.9%

Zimbabwean vs Kenyan Disability

When considering disability, the most significant differences between Zimbabwean and Kenyan communities in the United States are seen in disability age 65 to 74 (21.5% compared to 23.7%, a difference of 10.2%), disability age 35 to 64 (10.4% compared to 11.4%, a difference of 8.8%), and ambulatory disability (5.4% compared to 5.8%, a difference of 7.2%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 0.020%), disability age over 75 (48.1% compared to 47.2%, a difference of 1.7%), and disability age under 5 (1.2% compared to 1.2%, a difference of 2.7%).
Zimbabwean vs Kenyan Disability
Disability MetricZimbabweanKenyan
Disability
Exceptional
10.9%
Excellent
11.5%
Males
Exceptional
10.6%
Good
11.0%
Females
Exceptional
11.3%
Exceptional
11.9%
Age | Under 5 years
Exceptional
1.2%
Good
1.2%
Age | 5 to 17 years
Good
5.5%
Poor
5.8%
Age | 18 to 34 years
Good
6.5%
Poor
6.8%
Age | 35 to 64 years
Exceptional
10.4%
Fair
11.4%
Age | 65 to 74 years
Exceptional
21.5%
Fair
23.7%
Age | Over 75 years
Tragic
48.1%
Average
47.2%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Excellent
2.8%
Excellent
2.8%
Cognitive
Tragic
17.6%
Tragic
18.1%
Ambulatory
Exceptional
5.4%
Exceptional
5.8%
Self-Care
Exceptional
2.2%
Exceptional
2.3%