Kenyan vs Tlingit-Haida 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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTohono 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
Tlingit-Haida
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

Tlingit-Haida

Good
Average
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK

Tlingit-Haida Integration in Kenyan Communities

The statistical analysis conducted on geographies consisting of 41,094,423 people shows a substantial positive correlation between the proportion of Tlingit-Haida within Kenyan communities in the United States with a correlation coefficient (R) of 0.536. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.092% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 91.7 Tlingit-Haida.
Kenyan Integration in Tlingit-Haida Communities

Kenyan vs Tlingit-Haida Income

When considering income, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in householder income under 25 years ($50,815 compared to $55,914, a difference of 10.0%), householder income over 65 years ($60,514 compared to $62,922, a difference of 4.0%), and median male earnings ($53,647 compared to $52,409, a difference of 2.4%). Conversely, both communities are more comparable in terms of median household income ($84,085 compared to $83,968, a difference of 0.14%), median family income ($101,417 compared to $101,092, a difference of 0.32%), and median female earnings ($39,860 compared to $39,513, a difference of 0.88%).
Kenyan vs Tlingit-Haida Income
Income MetricKenyanTlingit-Haida
Per Capita Income
Fair
$42,808
Average
$43,516
Median Family Income
Fair
$101,417
Fair
$101,092
Median Household Income
Fair
$84,085
Fair
$83,968
Median Earnings
Average
$46,462
Fair
$45,468
Median Male Earnings
Fair
$53,647
Poor
$52,409
Median Female Earnings
Average
$39,860
Average
$39,513
Householder Age | Under 25 years
Tragic
$50,815
Exceptional
$55,914
Householder Age | 25 - 44 years
Poor
$91,684
Fair
$92,987
Householder Age | 45 - 64 years
Fair
$98,970
Poor
$97,417
Householder Age | Over 65 years
Fair
$60,514
Excellent
$62,922
Wage/Income Gap
Exceptional
24.5%
Exceptional
24.0%

Kenyan vs Tlingit-Haida Poverty

When considering poverty, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in seniors poverty over the age of 65 (10.3% compared to 8.3%, a difference of 22.9%), seniors poverty over the age of 75 (11.5% compared to 9.7%, a difference of 18.6%), and child poverty among girls under 16 (16.8% compared to 14.7%, a difference of 14.8%). Conversely, both communities are more comparable in terms of receiving food stamps (11.6% compared to 11.6%, a difference of 0.16%), single father poverty (15.3% compared to 15.3%, a difference of 0.20%), and female poverty among 25-34 year olds (13.5% compared to 13.8%, a difference of 2.1%).
Kenyan vs Tlingit-Haida Poverty
Poverty MetricKenyanTlingit-Haida
Poverty
Fair
12.5%
Excellent
11.7%
Families
Average
8.9%
Exceptional
8.0%
Males
Fair
11.3%
Good
10.9%
Females
Average
13.5%
Exceptional
12.5%
Females 18 to 24 years
Average
20.2%
Tragic
22.0%
Females 25 to 34 years
Average
13.5%
Fair
13.8%
Children Under 5 years
Fair
17.5%
Exceptional
15.9%
Children Under 16 years
Fair
16.5%
Exceptional
14.9%
Boys Under 16 years
Average
16.6%
Exceptional
15.3%
Girls Under 16 years
Fair
16.8%
Exceptional
14.7%
Single Males
Exceptional
12.4%
Exceptional
11.6%
Single Females
Good
20.8%
Tragic
21.9%
Single Fathers
Exceptional
15.3%
Exceptional
15.3%
Single Mothers
Exceptional
28.4%
Tragic
30.9%
Married Couples
Exceptional
4.8%
Exceptional
4.4%
Seniors Over 65 years
Exceptional
10.3%
Exceptional
8.3%
Seniors Over 75 years
Exceptional
11.5%
Exceptional
9.7%
Receiving Food Stamps
Good
11.6%
Average
11.6%

Kenyan vs Tlingit-Haida Unemployment

When considering unemployment, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (9.1% compared to 20.7%, a difference of 128.4%), unemployment among ages 16 to 19 years (16.1% compared to 23.5%, a difference of 46.7%), and unemployment among seniors over 65 years (4.7% compared to 6.8%, a difference of 43.9%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 4.9%, a difference of 2.1%), unemployment among women with children under 18 years (5.3% compared to 5.4%, a difference of 2.8%), and unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 4.2%).
Kenyan vs Tlingit-Haida Unemployment
Unemployment MetricKenyanTlingit-Haida
Unemployment
Excellent
5.1%
Tragic
5.6%
Males
Good
5.2%
Tragic
6.0%
Females
Exceptional
5.0%
Exceptional
4.9%
Youth < 25
Exceptional
11.2%
Tragic
12.7%
Age | 16 to 19 years
Exceptional
16.1%
Tragic
23.5%
Age | 20 to 24 years
Exceptional
9.9%
Fair
10.3%
Age | 25 to 29 years
Exceptional
6.3%
Tragic
8.7%
Age | 30 to 34 years
Exceptional
5.2%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
4.7%
Age | 55 to 59 years
Exceptional
4.4%
Tragic
5.7%
Age | 60 to 64 years
Exceptional
4.6%
Tragic
6.4%
Age | 65 to 74 years
Exceptional
4.8%
Tragic
6.5%
Seniors > 65
Exceptional
4.7%
Tragic
6.8%
Seniors > 75
Tragic
9.1%
Tragic
20.7%
Women w/ Children < 6
Good
7.6%
Tragic
8.9%
Women w/ Children 6 to 17
Excellent
8.8%
Exceptional
7.1%
Women w/ Children < 18
Excellent
5.3%
Good
5.4%

Kenyan vs Tlingit-Haida Labor Participation

When considering labor participation, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in in labor force | age 30-34 (85.4% compared to 82.3%, a difference of 3.8%), in labor force | age 35-44 (85.2% compared to 82.5%, a difference of 3.3%), 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 45-54 (83.7% compared to 83.9%, a difference of 0.23%), in labor force | age 16-19 (40.1% compared to 40.5%, a difference of 0.88%), and in labor force | age 25-29 (85.4% compared to 84.4%, a difference of 1.1%).
Kenyan vs Tlingit-Haida Labor Participation
Labor Participation MetricKenyanTlingit-Haida
In Labor Force | Age > 16
Exceptional
67.6%
Excellent
65.5%
In Labor Force | Age 20-64
Exceptional
80.8%
Tragic
79.0%
In Labor Force | Age 16-19
Exceptional
40.1%
Exceptional
40.5%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
77.9%
In Labor Force | Age 25-29
Exceptional
85.4%
Poor
84.4%
In Labor Force | Age 30-34
Exceptional
85.4%
Tragic
82.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
82.5%
In Labor Force | Age 45-54
Exceptional
83.7%
Exceptional
83.9%

Kenyan vs Tlingit-Haida Family Structure

When considering family structure, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in single mother households (7.0% compared to 5.7%, a difference of 21.2%), single father households (2.4% compared to 2.7%, a difference of 12.4%), and family households with children (28.4% compared to 26.0%, a difference of 9.0%). Conversely, both communities are more comparable in terms of births to unmarried women (31.9% compared to 32.2%, a difference of 1.0%), married-couple households (44.7% compared to 45.1%, a difference of 1.1%), and average family size (3.21 compared to 3.16, a difference of 1.9%).
Kenyan vs Tlingit-Haida Family Structure
Family Structure MetricKenyanTlingit-Haida
Family Households
Tragic
63.2%
Tragic
61.6%
Family Households with Children
Exceptional
28.4%
Tragic
26.0%
Married-couple Households
Tragic
44.7%
Tragic
45.1%
Average Family Size
Fair
3.21
Tragic
3.16
Single Father Households
Fair
2.4%
Tragic
2.7%
Single Mother Households
Tragic
7.0%
Exceptional
5.7%
Currently Married
Tragic
45.2%
Average
46.7%
Divorced or Separated
Fair
12.2%
Tragic
13.2%
Births to Unmarried Women
Average
31.9%
Fair
32.2%

Kenyan vs Tlingit-Haida Vehicle Availability

When considering vehicle availability, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 6.8%, a difference of 12.4%), 3 or more vehicles in household (19.1% compared to 19.9%, a difference of 4.1%), and no vehicles in household (9.7% compared to 10.1%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.1%, a difference of 0.32%), 2 or more vehicles in household (55.5% compared to 55.8%, a difference of 0.45%), and no vehicles in household (9.7% compared to 10.1%, a difference of 3.7%).
Kenyan vs Tlingit-Haida Vehicle Availability
Vehicle Availability MetricKenyanTlingit-Haida
No Vehicles Available
Excellent
9.7%
Good
10.1%
1+ Vehicles Available
Excellent
90.4%
Good
90.1%
2+ Vehicles Available
Average
55.5%
Good
55.8%
3+ Vehicles Available
Fair
19.1%
Good
19.9%
4+ Vehicles Available
Poor
6.1%
Exceptional
6.8%

Kenyan vs Tlingit-Haida Education Level

When considering education level, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in no schooling completed (2.0% compared to 1.5%, a difference of 40.9%), master's degree (15.3% compared to 12.8%, a difference of 19.4%), and doctorate degree (1.9% compared to 1.7%, a difference of 14.4%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.7%, a difference of 0.76%), 1st grade (97.9% compared to 98.7%, a difference of 0.76%), and kindergarten (98.0% compared to 98.7%, a difference of 0.77%).
Kenyan vs Tlingit-Haida Education Level
Education Level MetricKenyanTlingit-Haida
No Schooling Completed
Good
2.0%
Exceptional
1.5%
Nursery School
Average
98.0%
Exceptional
98.7%
Kindergarten
Average
98.0%
Exceptional
98.7%
1st Grade
Average
97.9%
Exceptional
98.7%
2nd Grade
Average
97.9%
Exceptional
98.6%
3rd Grade
Average
97.8%
Exceptional
98.5%
4th Grade
Average
97.5%
Exceptional
98.4%
5th Grade
Average
97.4%
Exceptional
98.3%
6th Grade
Good
97.1%
Exceptional
98.1%
7th Grade
Good
96.2%
Exceptional
97.5%
8th Grade
Good
95.9%
Exceptional
97.3%
9th Grade
Good
95.1%
Exceptional
96.6%
10th Grade
Good
94.0%
Exceptional
95.7%
11th Grade
Excellent
92.9%
Exceptional
94.4%
12th Grade, No Diploma
Good
91.5%
Exceptional
93.0%
High School Diploma
Excellent
89.6%
Exceptional
91.4%
GED/Equivalency
Good
86.3%
Exceptional
87.0%
College, Under 1 year
Excellent
66.5%
Good
65.9%
College, 1 year or more
Good
60.5%
Average
59.4%
Associate's Degree
Good
47.1%
Tragic
43.0%
Bachelor's Degree
Good
38.7%
Tragic
34.6%
Master's Degree
Good
15.3%
Tragic
12.8%
Professional Degree
Average
4.4%
Tragic
4.0%
Doctorate Degree
Excellent
1.9%
Poor
1.7%

Kenyan vs Tlingit-Haida Disability

When considering disability, the most significant differences between Kenyan and Tlingit-Haida communities in the United States are seen in hearing disability (2.8% compared to 4.8%, a difference of 70.4%), vision disability (2.1% compared to 2.9%, a difference of 37.2%), and disability age under 5 (1.2% compared to 1.5%, a difference of 27.7%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.9%, a difference of 2.1%), cognitive disability (18.1% compared to 17.2%, a difference of 5.2%), and self-care disability (2.3% compared to 2.4%, a difference of 5.9%).
Kenyan vs Tlingit-Haida Disability
Disability MetricKenyanTlingit-Haida
Disability
Excellent
11.5%
Tragic
13.5%
Males
Good
11.0%
Tragic
13.8%
Females
Exceptional
11.9%
Tragic
13.2%
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
7.7%
Age | 35 to 64 years
Fair
11.4%
Tragic
13.2%
Age | 65 to 74 years
Fair
23.7%
Tragic
27.1%
Age | Over 75 years
Average
47.2%
Tragic
50.6%
Vision
Exceptional
2.1%
Tragic
2.9%
Hearing
Excellent
2.8%
Tragic
4.8%
Cognitive
Tragic
18.1%
Average
17.2%
Ambulatory
Exceptional
5.8%
Tragic
6.5%
Self-Care
Exceptional
2.3%
Good
2.4%