Czechoslovakian vs Kenyan Community Comparison

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

Social Comparison

Czechoslovakians

Kenyans

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

Kenyan Integration in Czechoslovakian Communities

The statistical analysis conducted on geographies consisting of 141,237,964 people shows a near-perfect positive correlation between the proportion of Kenyans within Czechoslovakian communities in the United States with a correlation coefficient (R) of 0.936. On average, for every 1% (one percent) increase in Czechoslovakians within a typical geography, there is an increase of 0.849% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechoslovakians corresponds to an increase of 849.3 Kenyans.
Czechoslovakian Integration in Kenyan Communities

Czechoslovakian vs Kenyan Income

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

Czechoslovakian vs Kenyan Poverty

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

Czechoslovakian vs Kenyan Unemployment

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

Czechoslovakian vs Kenyan Labor Participation

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

Czechoslovakian vs Kenyan Family Structure

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

Czechoslovakian vs Kenyan Vehicle Availability

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

Czechoslovakian vs Kenyan Education Level

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

Czechoslovakian vs Kenyan Disability

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