Tlingit-Haida vs Immigrants from Kenya Community Comparison

COMPARE

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)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 KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKoreaKuwaitLaosLatin 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
Immigrants from Kenya
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth AmericaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Tlingit-Haida

Immigrants from Kenya

Average
Average
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK
6,037
SOCIAL INDEX
57.9/ 100
SOCIAL RATING
165th/ 347
SOCIAL RANK

Immigrants from Kenya Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 44,722,987 people shows a very strong positive correlation between the proportion of Immigrants from Kenya within Tlingit-Haida communities in the United States with a correlation coefficient (R) of 0.837. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is an increase of 0.017% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to an increase of 16.7 Immigrants from Kenya.
Tlingit-Haida Integration in Immigrants from Kenya Communities

Tlingit-Haida vs Immigrants from Kenya Income

When considering income, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in householder income under 25 years ($55,914 compared to $49,633, a difference of 12.7%), householder income over 65 years ($62,922 compared to $59,710, a difference of 5.4%), and householder income ages 25 - 44 years ($92,987 compared to $90,767, a difference of 2.5%). Conversely, both communities are more comparable in terms of median female earnings ($39,513 compared to $39,535, a difference of 0.060%), median family income ($101,092 compared to $100,679, a difference of 0.41%), and householder income ages 45 - 64 years ($97,417 compared to $97,964, a difference of 0.56%).
Tlingit-Haida vs Immigrants from Kenya Income
Income MetricTlingit-HaidaImmigrants from Kenya
Per Capita Income
Average
$43,516
Fair
$42,661
Median Family Income
Fair
$101,092
Fair
$100,679
Median Household Income
Fair
$83,968
Fair
$83,068
Median Earnings
Fair
$45,468
Average
$46,214
Median Male Earnings
Poor
$52,409
Fair
$53,427
Median Female Earnings
Average
$39,513
Average
$39,535
Householder Age | Under 25 years
Exceptional
$55,914
Tragic
$49,633
Householder Age | 25 - 44 years
Fair
$92,987
Poor
$90,767
Householder Age | 45 - 64 years
Poor
$97,417
Fair
$97,964
Householder Age | Over 65 years
Excellent
$62,922
Fair
$59,710
Wage/Income Gap
Exceptional
24.0%
Exceptional
24.4%

Tlingit-Haida vs Immigrants from Kenya Poverty

When considering poverty, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in seniors poverty over the age of 65 (8.3% compared to 10.5%, a difference of 26.3%), seniors poverty over the age of 75 (9.7% compared to 11.9%, a difference of 23.2%), and child poverty among girls under 16 (14.7% compared to 17.2%, a difference of 17.3%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (13.8% compared to 13.8%, a difference of 0.010%), receiving food stamps (11.6% compared to 11.8%, a difference of 1.8%), and single female poverty (21.9% compared to 21.4%, a difference of 2.3%).
Tlingit-Haida vs Immigrants from Kenya Poverty
Poverty MetricTlingit-HaidaImmigrants from Kenya
Poverty
Excellent
11.7%
Poor
12.8%
Families
Exceptional
8.0%
Fair
9.2%
Males
Good
10.9%
Poor
11.6%
Females
Exceptional
12.5%
Fair
13.9%
Females 18 to 24 years
Tragic
22.0%
Tragic
21.0%
Females 25 to 34 years
Fair
13.8%
Fair
13.8%
Children Under 5 years
Exceptional
15.9%
Fair
17.9%
Children Under 16 years
Exceptional
14.9%
Poor
16.9%
Boys Under 16 years
Exceptional
15.3%
Fair
17.1%
Girls Under 16 years
Exceptional
14.7%
Poor
17.2%
Single Males
Exceptional
11.6%
Excellent
12.5%
Single Females
Tragic
21.9%
Fair
21.4%
Single Fathers
Exceptional
15.3%
Exceptional
15.0%
Single Mothers
Tragic
30.9%
Good
28.9%
Married Couples
Exceptional
4.4%
Exceptional
4.9%
Seniors Over 65 years
Exceptional
8.3%
Excellent
10.5%
Seniors Over 75 years
Exceptional
9.7%
Good
11.9%
Receiving Food Stamps
Average
11.6%
Average
11.8%

Tlingit-Haida vs Immigrants from Kenya Unemployment

When considering unemployment, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in unemployment among seniors over 75 years (20.7% compared to 8.8%, a difference of 134.7%), unemployment among ages 16 to 19 years (23.5% compared to 16.2%, a difference of 45.3%), and unemployment among ages 25 to 29 years (8.7% compared to 6.1%, a difference of 41.3%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 0.84%), female unemployment (4.9% compared to 5.0%, a difference of 1.8%), and unemployment among ages 35 to 44 years (4.3% compared to 4.4%, a difference of 4.5%).
Tlingit-Haida vs Immigrants from Kenya Unemployment
Unemployment MetricTlingit-HaidaImmigrants from Kenya
Unemployment
Tragic
5.6%
Excellent
5.1%
Males
Tragic
6.0%
Good
5.2%
Females
Exceptional
4.9%
Exceptional
5.0%
Youth < 25
Tragic
12.7%
Exceptional
11.2%
Age | 16 to 19 years
Tragic
23.5%
Exceptional
16.2%
Age | 20 to 24 years
Fair
10.3%
Exceptional
9.7%
Age | 25 to 29 years
Tragic
8.7%
Exceptional
6.1%
Age | 30 to 34 years
Tragic
6.0%
Exceptional
5.2%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.4%
Age | 55 to 59 years
Tragic
5.7%
Exceptional
4.5%
Age | 60 to 64 years
Tragic
6.4%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
6.5%
Exceptional
5.1%
Seniors > 65
Tragic
6.8%
Exceptional
4.9%
Seniors > 75
Tragic
20.7%
Fair
8.8%
Women w/ Children < 6
Tragic
8.9%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
7.1%
Excellent
8.8%
Women w/ Children < 18
Good
5.4%
Good
5.4%

Tlingit-Haida vs Immigrants from Kenya Labor Participation

When considering labor participation, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in in labor force | age 30-34 (82.3% compared to 85.5%, a difference of 3.9%), in labor force | age > 16 (65.5% compared to 67.6%, a difference of 3.2%), and in labor force | age 35-44 (82.5% compared to 85.1%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (40.5% compared to 40.5%, a difference of 0.030%), in labor force | age 45-54 (83.9% compared to 83.5%, a difference of 0.55%), and in labor force | age 25-29 (84.4% compared to 85.4%, a difference of 1.2%).
Tlingit-Haida vs Immigrants from Kenya Labor Participation
Labor Participation MetricTlingit-HaidaImmigrants from Kenya
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
67.6%
In Labor Force | Age 20-64
Tragic
79.0%
Exceptional
80.7%
In Labor Force | Age 16-19
Exceptional
40.5%
Exceptional
40.5%
In Labor Force | Age 20-24
Exceptional
77.9%
Exceptional
77.0%
In Labor Force | Age 25-29
Poor
84.4%
Exceptional
85.4%
In Labor Force | Age 30-34
Tragic
82.3%
Exceptional
85.5%
In Labor Force | Age 35-44
Tragic
82.5%
Exceptional
85.1%
In Labor Force | Age 45-54
Exceptional
83.9%
Exceptional
83.5%

Tlingit-Haida vs Immigrants from Kenya Family Structure

When considering family structure, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in single mother households (5.7% compared to 7.0%, a difference of 21.4%), single father households (2.7% compared to 2.4%, a difference of 11.6%), and family households with children (26.0% compared to 28.1%, a difference of 8.0%). Conversely, both communities are more comparable in terms of births to unmarried women (32.2% compared to 32.1%, a difference of 0.44%), family households (61.6% compared to 62.3%, a difference of 1.2%), and average family size (3.16 compared to 3.21, a difference of 1.6%).
Tlingit-Haida vs Immigrants from Kenya Family Structure
Family Structure MetricTlingit-HaidaImmigrants from Kenya
Family Households
Tragic
61.6%
Tragic
62.3%
Family Households with Children
Tragic
26.0%
Exceptional
28.1%
Married-couple Households
Tragic
45.1%
Tragic
44.1%
Average Family Size
Tragic
3.16
Poor
3.21
Single Father Households
Tragic
2.7%
Fair
2.4%
Single Mother Households
Exceptional
5.7%
Tragic
7.0%
Currently Married
Average
46.7%
Tragic
44.9%
Divorced or Separated
Tragic
13.2%
Poor
12.2%
Births to Unmarried Women
Fair
32.2%
Fair
32.1%

Tlingit-Haida vs Immigrants from Kenya Vehicle Availability

When considering vehicle availability, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 6.0%, a difference of 14.8%), 3 or more vehicles in household (19.9% compared to 18.8%, a difference of 5.8%), and no vehicles in household (10.1% compared to 9.6%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 90.4%, a difference of 0.38%), 2 or more vehicles in household (55.8% compared to 55.1%, a difference of 1.2%), and no vehicles in household (10.1% compared to 9.6%, a difference of 4.4%).
Tlingit-Haida vs Immigrants from Kenya Vehicle Availability
Vehicle Availability MetricTlingit-HaidaImmigrants from Kenya
No Vehicles Available
Good
10.1%
Excellent
9.6%
1+ Vehicles Available
Good
90.1%
Excellent
90.4%
2+ Vehicles Available
Good
55.8%
Average
55.1%
3+ Vehicles Available
Good
19.9%
Poor
18.8%
4+ Vehicles Available
Exceptional
6.8%
Tragic
6.0%

Tlingit-Haida vs Immigrants from Kenya Education Level

When considering education level, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in no schooling completed (1.5% compared to 2.1%, a difference of 46.8%), master's degree (12.8% compared to 15.3%, a difference of 18.8%), and bachelor's degree (34.6% compared to 38.8%, a difference of 12.2%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 97.9%, a difference of 0.84%), 1st grade (98.7% compared to 97.8%, a difference of 0.85%), and kindergarten (98.7% compared to 97.9%, a difference of 0.86%).
Tlingit-Haida vs Immigrants from Kenya Education Level
Education Level MetricTlingit-HaidaImmigrants from Kenya
No Schooling Completed
Exceptional
1.5%
Fair
2.1%
Nursery School
Exceptional
98.7%
Fair
97.9%
Kindergarten
Exceptional
98.7%
Fair
97.9%
1st Grade
Exceptional
98.7%
Fair
97.8%
2nd Grade
Exceptional
98.6%
Fair
97.8%
3rd Grade
Exceptional
98.5%
Fair
97.7%
4th Grade
Exceptional
98.4%
Fair
97.5%
5th Grade
Exceptional
98.3%
Average
97.3%
6th Grade
Exceptional
98.1%
Average
97.0%
7th Grade
Exceptional
97.5%
Good
96.1%
8th Grade
Exceptional
97.3%
Good
95.8%
9th Grade
Exceptional
96.6%
Good
95.0%
10th Grade
Exceptional
95.7%
Good
94.0%
11th Grade
Exceptional
94.4%
Good
92.8%
12th Grade, No Diploma
Exceptional
93.0%
Good
91.5%
High School Diploma
Exceptional
91.4%
Good
89.6%
GED/Equivalency
Exceptional
87.0%
Good
86.2%
College, Under 1 year
Good
65.9%
Excellent
66.5%
College, 1 year or more
Average
59.4%
Good
60.5%
Associate's Degree
Tragic
43.0%
Good
47.2%
Bachelor's Degree
Tragic
34.6%
Good
38.8%
Master's Degree
Tragic
12.8%
Good
15.3%
Professional Degree
Tragic
4.0%
Average
4.4%
Doctorate Degree
Poor
1.7%
Good
1.9%

Tlingit-Haida vs Immigrants from Kenya Disability

When considering disability, the most significant differences between Tlingit-Haida and Immigrants from Kenya communities in the United States are seen in hearing disability (4.8% compared to 2.9%, a difference of 68.9%), vision disability (2.9% compared to 2.1%, a difference of 36.2%), and male disability (13.8% compared to 11.1%, a difference of 24.3%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.9% compared to 5.8%, a difference of 0.73%), self-care disability (2.4% compared to 2.3%, a difference of 4.5%), and cognitive disability (17.2% compared to 18.3%, a difference of 6.3%).
Tlingit-Haida vs Immigrants from Kenya Disability
Disability MetricTlingit-HaidaImmigrants from Kenya
Disability
Tragic
13.5%
Good
11.6%
Males
Tragic
13.8%
Good
11.1%
Females
Tragic
13.2%
Excellent
12.0%
Age | Under 5 years
Tragic
1.5%
Average
1.2%
Age | 5 to 17 years
Tragic
5.9%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.7%
Tragic
6.9%
Age | 35 to 64 years
Tragic
13.2%
Poor
11.6%
Age | 65 to 74 years
Tragic
27.1%
Poor
23.8%
Age | Over 75 years
Tragic
50.6%
Fair
47.6%
Vision
Tragic
2.9%
Excellent
2.1%
Hearing
Tragic
4.8%
Excellent
2.9%
Cognitive
Average
17.2%
Tragic
18.3%
Ambulatory
Tragic
6.5%
Exceptional
5.8%
Self-Care
Good
2.4%
Exceptional
2.3%