Kenyan vs Czechoslovakian Community Comparison

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Kenyan
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechDanishDelawareDominicanDutchDutch 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
Czechoslovakian
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

Czechoslovakians

Good
Good
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
7,027
SOCIAL INDEX
67.8/ 100
SOCIAL RATING
132nd/ 347
SOCIAL RANK

Czechoslovakian Integration in Kenyan Communities

The statistical analysis conducted on geographies consisting of 141,237,737 people shows a weak positive correlation between the proportion of Czechoslovakians within Kenyan communities in the United States with a correlation coefficient (R) of 0.288. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.029% in Czechoslovakians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 29.3 Czechoslovakians.
Kenyan Integration in Czechoslovakian Communities

Kenyan vs Czechoslovakian Income

When considering income, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in wage/income gap (24.5% compared to 28.2%, a difference of 15.3%), householder income ages 25 - 44 years ($91,684 compared to $95,070, a difference of 3.7%), and median male earnings ($53,647 compared to $55,382, a difference of 3.2%). Conversely, both communities are more comparable in terms of householder income over 65 years ($60,514 compared to $60,581, a difference of 0.11%), median earnings ($46,462 compared to $46,658, a difference of 0.42%), and householder income under 25 years ($50,815 compared to $51,224, a difference of 0.80%).
Kenyan vs Czechoslovakian Income
Income MetricKenyanCzechoslovakian
Per Capita Income
Fair
$42,808
Average
$43,806
Median Family Income
Fair
$101,417
Average
$103,273
Median Household Income
Fair
$84,085
Average
$84,965
Median Earnings
Average
$46,462
Average
$46,658
Median Male Earnings
Fair
$53,647
Good
$55,382
Median Female Earnings
Average
$39,860
Poor
$38,738
Householder Age | Under 25 years
Tragic
$50,815
Tragic
$51,224
Householder Age | 25 - 44 years
Poor
$91,684
Average
$95,070
Householder Age | 45 - 64 years
Fair
$98,970
Good
$101,387
Householder Age | Over 65 years
Fair
$60,514
Average
$60,581
Wage/Income Gap
Exceptional
24.5%
Tragic
28.2%

Kenyan vs Czechoslovakian Poverty

When considering poverty, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in receiving food stamps (11.6% compared to 10.3%, a difference of 12.4%), single father poverty (15.3% compared to 17.1%, a difference of 11.5%), and family poverty (8.9% compared to 8.0%, a difference of 11.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.2% compared to 20.0%, a difference of 0.84%), female poverty among 25-34 year olds (13.5% compared to 13.7%, a difference of 1.3%), and single female poverty (20.8% compared to 21.3%, a difference of 2.7%).
Kenyan vs Czechoslovakian Poverty
Poverty MetricKenyanCzechoslovakian
Poverty
Fair
12.5%
Exceptional
11.4%
Families
Average
8.9%
Exceptional
8.0%
Males
Fair
11.3%
Exceptional
10.3%
Females
Average
13.5%
Exceptional
12.4%
Females 18 to 24 years
Average
20.2%
Good
20.0%
Females 25 to 34 years
Average
13.5%
Fair
13.7%
Children Under 5 years
Fair
17.5%
Good
16.8%
Children Under 16 years
Fair
16.5%
Exceptional
15.1%
Boys Under 16 years
Average
16.6%
Exceptional
15.3%
Girls Under 16 years
Fair
16.8%
Excellent
15.5%
Single Males
Exceptional
12.4%
Tragic
13.4%
Single Females
Good
20.8%
Fair
21.3%
Single Fathers
Exceptional
15.3%
Tragic
17.1%
Single Mothers
Exceptional
28.4%
Poor
29.7%
Married Couples
Exceptional
4.8%
Exceptional
4.4%
Seniors Over 65 years
Exceptional
10.3%
Exceptional
9.5%
Seniors Over 75 years
Exceptional
11.5%
Exceptional
10.9%
Receiving Food Stamps
Good
11.6%
Exceptional
10.3%

Kenyan vs Czechoslovakian Unemployment

When considering unemployment, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 5.3%, a difference of 9.4%), unemployment among ages 25 to 29 years (6.3% compared to 6.7%, a difference of 7.0%), and unemployment (5.1% compared to 4.8%, a difference of 6.6%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.9% compared to 9.9%, a difference of 0.19%), unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.89%), and unemployment among women with children under 6 years (7.6% compared to 7.7%, a difference of 1.6%).
Kenyan vs Czechoslovakian Unemployment
Unemployment MetricKenyanCzechoslovakian
Unemployment
Excellent
5.1%
Exceptional
4.8%
Males
Good
5.2%
Exceptional
5.0%
Females
Exceptional
5.0%
Exceptional
4.8%
Youth < 25
Exceptional
11.2%
Exceptional
11.0%
Age | 16 to 19 years
Exceptional
16.1%
Exceptional
16.5%
Age | 20 to 24 years
Exceptional
9.9%
Exceptional
9.9%
Age | 25 to 29 years
Exceptional
6.3%
Average
6.7%
Age | 30 to 34 years
Exceptional
5.2%
Good
5.4%
Age | 35 to 44 years
Exceptional
4.4%
Excellent
4.6%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.2%
Age | 55 to 59 years
Exceptional
4.4%
Exceptional
4.6%
Age | 60 to 64 years
Exceptional
4.6%
Exceptional
4.6%
Age | 65 to 74 years
Exceptional
4.8%
Excellent
5.3%
Seniors > 65
Exceptional
4.7%
Exceptional
5.0%
Seniors > 75
Tragic
9.1%
Tragic
9.4%
Women w/ Children < 6
Good
7.6%
Fair
7.7%
Women w/ Children 6 to 17
Excellent
8.8%
Fair
9.1%
Women w/ Children < 18
Excellent
5.3%
Exceptional
5.1%

Kenyan vs Czechoslovakian Labor Participation

When considering labor participation, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in in labor force | age > 16 (67.6% compared to 64.3%, a difference of 5.0%), in labor force | age 16-19 (40.1% compared to 41.9%, a difference of 4.3%), and in labor force | age 20-64 (80.8% compared to 79.5%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.4% compared to 85.0%, a difference of 0.38%), in labor force | age 20-24 (77.0% compared to 77.5%, a difference of 0.63%), and in labor force | age 35-44 (85.2% compared to 84.6%, a difference of 0.77%).
Kenyan vs Czechoslovakian Labor Participation
Labor Participation MetricKenyanCzechoslovakian
In Labor Force | Age > 16
Exceptional
67.6%
Tragic
64.3%
In Labor Force | Age 20-64
Exceptional
80.8%
Average
79.5%
In Labor Force | Age 16-19
Exceptional
40.1%
Exceptional
41.9%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
77.5%
In Labor Force | Age 25-29
Exceptional
85.4%
Exceptional
85.0%
In Labor Force | Age 30-34
Exceptional
85.4%
Good
84.8%
In Labor Force | Age 35-44
Exceptional
85.2%
Excellent
84.6%
In Labor Force | Age 45-54
Exceptional
83.7%
Good
83.0%

Kenyan vs Czechoslovakian Family Structure

When considering family structure, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in single mother households (7.0% compared to 5.9%, a difference of 18.3%), married-couple households (44.7% compared to 48.5%, a difference of 8.7%), and currently married (45.2% compared to 48.8%, a difference of 8.1%). Conversely, both communities are more comparable in terms of births to unmarried women (31.9% compared to 32.0%, a difference of 0.49%), divorced or separated (12.2% compared to 12.3%, a difference of 0.64%), and family households (63.2% compared to 64.6%, a difference of 2.3%).
Kenyan vs Czechoslovakian Family Structure
Family Structure MetricKenyanCzechoslovakian
Family Households
Tragic
63.2%
Excellent
64.6%
Family Households with Children
Exceptional
28.4%
Tragic
27.0%
Married-couple Households
Tragic
44.7%
Exceptional
48.5%
Average Family Size
Fair
3.21
Tragic
3.13
Single Father Households
Fair
2.4%
Average
2.3%
Single Mother Households
Tragic
7.0%
Exceptional
5.9%
Currently Married
Tragic
45.2%
Exceptional
48.8%
Divorced or Separated
Fair
12.2%
Poor
12.3%
Births to Unmarried Women
Average
31.9%
Fair
32.0%

Kenyan vs Czechoslovakian Vehicle Availability

When considering vehicle availability, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in no vehicles in household (9.7% compared to 7.8%, a difference of 23.9%), 4 or more vehicles in household (6.1% compared to 7.1%, a difference of 16.8%), and 3 or more vehicles in household (19.1% compared to 21.7%, a difference of 13.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 92.3%, a difference of 2.2%), 2 or more vehicles in household (55.5% compared to 59.8%, a difference of 7.7%), and 3 or more vehicles in household (19.1% compared to 21.7%, a difference of 13.8%).
Kenyan vs Czechoslovakian Vehicle Availability
Vehicle Availability MetricKenyanCzechoslovakian
No Vehicles Available
Excellent
9.7%
Exceptional
7.8%
1+ Vehicles Available
Excellent
90.4%
Exceptional
92.3%
2+ Vehicles Available
Average
55.5%
Exceptional
59.8%
3+ Vehicles Available
Fair
19.1%
Exceptional
21.7%
4+ Vehicles Available
Poor
6.1%
Exceptional
7.1%

Kenyan vs Czechoslovakian Education Level

When considering education level, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in no schooling completed (2.0% compared to 1.6%, a difference of 26.2%), doctorate degree (1.9% compared to 1.8%, a difference of 8.8%), and master's degree (15.3% compared to 14.5%, a difference of 5.6%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.5%, a difference of 0.49%), kindergarten (98.0% compared to 98.4%, a difference of 0.49%), and 1st grade (97.9% compared to 98.4%, a difference of 0.50%).
Kenyan vs Czechoslovakian Education Level
Education Level MetricKenyanCzechoslovakian
No Schooling Completed
Good
2.0%
Exceptional
1.6%
Nursery School
Average
98.0%
Exceptional
98.5%
Kindergarten
Average
98.0%
Exceptional
98.4%
1st Grade
Average
97.9%
Exceptional
98.4%
2nd Grade
Average
97.9%
Exceptional
98.4%
3rd Grade
Average
97.8%
Exceptional
98.3%
4th Grade
Average
97.5%
Exceptional
98.1%
5th Grade
Average
97.4%
Exceptional
98.0%
6th Grade
Good
97.1%
Exceptional
97.8%
7th Grade
Good
96.2%
Exceptional
97.1%
8th Grade
Good
95.9%
Exceptional
96.9%
9th Grade
Good
95.1%
Exceptional
96.1%
10th Grade
Good
94.0%
Exceptional
95.1%
11th Grade
Excellent
92.9%
Exceptional
94.0%
12th Grade, No Diploma
Good
91.5%
Exceptional
92.6%
High School Diploma
Excellent
89.6%
Exceptional
90.9%
GED/Equivalency
Good
86.3%
Exceptional
87.4%
College, Under 1 year
Excellent
66.5%
Good
65.8%
College, 1 year or more
Good
60.5%
Average
59.4%
Associate's Degree
Good
47.1%
Average
46.0%
Bachelor's Degree
Good
38.7%
Fair
37.0%
Master's Degree
Good
15.3%
Fair
14.5%
Professional Degree
Average
4.4%
Fair
4.2%
Doctorate Degree
Excellent
1.9%
Fair
1.8%

Kenyan vs Czechoslovakian Disability

When considering disability, the most significant differences between Kenyan and Czechoslovakian communities in the United States are seen in disability age under 5 (1.2% compared to 1.5%, a difference of 25.2%), hearing disability (2.8% compared to 3.6%, a difference of 25.0%), and male disability (11.0% compared to 12.3%, a difference of 11.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.6%, a difference of 1.4%), disability age 65 to 74 (23.7% compared to 23.0%, a difference of 3.2%), and disability age 5 to 17 (5.8% compared to 5.9%, a difference of 3.4%).
Kenyan vs Czechoslovakian Disability
Disability MetricKenyanCzechoslovakian
Disability
Excellent
11.5%
Tragic
12.5%
Males
Good
11.0%
Tragic
12.3%
Females
Exceptional
11.9%
Tragic
12.7%
Age | Under 5 years
Good
1.2%
Tragic
1.5%
Age | 5 to 17 years
Poor
5.8%
Tragic
5.9%
Age | 18 to 34 years
Poor
6.8%
Tragic
7.4%
Age | 35 to 64 years
Fair
11.4%
Tragic
11.8%
Age | 65 to 74 years
Fair
23.7%
Good
23.0%
Age | Over 75 years
Average
47.2%
Exceptional
46.6%
Vision
Exceptional
2.1%
Fair
2.2%
Hearing
Excellent
2.8%
Tragic
3.6%
Cognitive
Tragic
18.1%
Exceptional
16.6%
Ambulatory
Exceptional
5.8%
Tragic
6.4%
Self-Care
Exceptional
2.3%
Average
2.5%