Tlingit-Haida vs Potawatomi Community Comparison

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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 GermanPeruvianPimaPolishPortuguesePuebloPuerto 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
Potawatomi
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

Potawatomi

Average
Fair
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK
3,223
SOCIAL INDEX
29.8/ 100
SOCIAL RATING
227th/ 347
SOCIAL RANK

Potawatomi Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 34,402,444 people shows a near-perfect positive correlation between the proportion of Potawatomi within Tlingit-Haida communities in the United States with a correlation coefficient (R) of 0.902. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is an increase of 0.616% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to an increase of 615.8 Potawatomi.
Tlingit-Haida Integration in Potawatomi Communities

Tlingit-Haida vs Potawatomi Income

When considering income, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in householder income under 25 years ($55,914 compared to $46,462, a difference of 20.3%), householder income over 65 years ($62,922 compared to $54,212, a difference of 16.1%), and wage/income gap (24.0% compared to 27.7%, a difference of 15.7%). Conversely, both communities are more comparable in terms of median male earnings ($52,409 compared to $48,768, a difference of 7.5%), median earnings ($45,468 compared to $41,288, a difference of 10.1%), and householder income ages 25 - 44 years ($92,987 compared to $81,774, a difference of 13.7%).
Tlingit-Haida vs Potawatomi Income
Income MetricTlingit-HaidaPotawatomi
Per Capita Income
Average
$43,516
Tragic
$38,046
Median Family Income
Fair
$101,092
Tragic
$88,265
Median Household Income
Fair
$83,968
Tragic
$72,576
Median Earnings
Fair
$45,468
Tragic
$41,288
Median Male Earnings
Poor
$52,409
Tragic
$48,768
Median Female Earnings
Average
$39,513
Tragic
$34,739
Householder Age | Under 25 years
Exceptional
$55,914
Tragic
$46,462
Householder Age | 25 - 44 years
Fair
$92,987
Tragic
$81,774
Householder Age | 45 - 64 years
Poor
$97,417
Tragic
$84,613
Householder Age | Over 65 years
Excellent
$62,922
Tragic
$54,212
Wage/Income Gap
Exceptional
24.0%
Tragic
27.7%

Tlingit-Haida vs Potawatomi Poverty

When considering poverty, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in single male poverty (11.6% compared to 15.8%, a difference of 36.0%), child poverty under the age of 5 (15.9% compared to 21.0%, a difference of 31.8%), and child poverty among girls under 16 (14.7% compared to 19.2%, a difference of 31.1%). Conversely, both communities are more comparable in terms of receiving food stamps (11.6% compared to 12.5%, a difference of 7.6%), female poverty among 18-24 year olds (22.0% compared to 23.7%, a difference of 7.6%), and single mother poverty (30.9% compared to 34.1%, a difference of 10.4%).
Tlingit-Haida vs Potawatomi Poverty
Poverty MetricTlingit-HaidaPotawatomi
Poverty
Excellent
11.7%
Tragic
14.1%
Families
Exceptional
8.0%
Tragic
10.2%
Males
Good
10.9%
Tragic
12.9%
Females
Exceptional
12.5%
Tragic
15.3%
Females 18 to 24 years
Tragic
22.0%
Tragic
23.7%
Females 25 to 34 years
Fair
13.8%
Tragic
16.5%
Children Under 5 years
Exceptional
15.9%
Tragic
21.0%
Children Under 16 years
Exceptional
14.9%
Tragic
19.0%
Boys Under 16 years
Exceptional
15.3%
Tragic
19.4%
Girls Under 16 years
Exceptional
14.7%
Tragic
19.2%
Single Males
Exceptional
11.6%
Tragic
15.8%
Single Females
Tragic
21.9%
Tragic
25.4%
Single Fathers
Exceptional
15.3%
Tragic
18.9%
Single Mothers
Tragic
30.9%
Tragic
34.1%
Married Couples
Exceptional
4.4%
Poor
5.5%
Seniors Over 65 years
Exceptional
8.3%
Good
10.8%
Seniors Over 75 years
Exceptional
9.7%
Average
12.1%
Receiving Food Stamps
Average
11.6%
Poor
12.5%

Tlingit-Haida vs Potawatomi Unemployment

When considering unemployment, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in unemployment among seniors over 75 years (20.7% compared to 7.8%, a difference of 165.1%), unemployment among ages 60 to 64 years (6.4% compared to 4.6%, a difference of 37.5%), and unemployment among ages 16 to 19 years (23.5% compared to 17.2%, a difference of 36.6%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (6.0% compared to 6.0%, a difference of 0.020%), unemployment among ages 20 to 24 years (10.3% compared to 10.3%, a difference of 0.090%), and unemployment among ages 45 to 54 years (4.7% compared to 4.7%, a difference of 1.1%).
Tlingit-Haida vs Potawatomi Unemployment
Unemployment MetricTlingit-HaidaPotawatomi
Unemployment
Tragic
5.6%
Good
5.2%
Males
Tragic
6.0%
Fair
5.3%
Females
Exceptional
4.9%
Good
5.2%
Youth < 25
Tragic
12.7%
Average
11.6%
Age | 16 to 19 years
Tragic
23.5%
Excellent
17.2%
Age | 20 to 24 years
Fair
10.3%
Average
10.3%
Age | 25 to 29 years
Tragic
8.7%
Tragic
7.1%
Age | 30 to 34 years
Tragic
6.0%
Tragic
6.0%
Age | 35 to 44 years
Exceptional
4.3%
Tragic
5.0%
Age | 45 to 54 years
Tragic
4.7%
Tragic
4.7%
Age | 55 to 59 years
Tragic
5.7%
Good
4.8%
Age | 60 to 64 years
Tragic
6.4%
Exceptional
4.6%
Age | 65 to 74 years
Tragic
6.5%
Average
5.4%
Seniors > 65
Tragic
6.8%
Good
5.1%
Seniors > 75
Tragic
20.7%
Exceptional
7.8%
Women w/ Children < 6
Tragic
8.9%
Tragic
9.6%
Women w/ Children 6 to 17
Exceptional
7.1%
Exceptional
8.5%
Women w/ Children < 18
Good
5.4%
Tragic
5.7%

Tlingit-Haida vs Potawatomi Labor Participation

When considering labor participation, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in in labor force | age 45-54 (83.9% compared to 80.0%, a difference of 5.0%), in labor force | age > 16 (65.5% compared to 62.8%, a difference of 4.2%), and in labor force | age 20-64 (79.0% compared to 77.2%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (82.5% compared to 82.7%, a difference of 0.18%), in labor force | age 30-34 (82.3% compared to 82.8%, a difference of 0.57%), and in labor force | age 16-19 (40.5% compared to 40.0%, a difference of 1.1%).
Tlingit-Haida vs Potawatomi Labor Participation
Labor Participation MetricTlingit-HaidaPotawatomi
In Labor Force | Age > 16
Excellent
65.5%
Tragic
62.8%
In Labor Force | Age 20-64
Tragic
79.0%
Tragic
77.2%
In Labor Force | Age 16-19
Exceptional
40.5%
Exceptional
40.0%
In Labor Force | Age 20-24
Exceptional
77.9%
Exceptional
76.2%
In Labor Force | Age 25-29
Poor
84.4%
Tragic
82.9%
In Labor Force | Age 30-34
Tragic
82.3%
Tragic
82.8%
In Labor Force | Age 35-44
Tragic
82.5%
Tragic
82.7%
In Labor Force | Age 45-54
Exceptional
83.9%
Tragic
80.0%

Tlingit-Haida vs Potawatomi Family Structure

When considering family structure, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in single mother households (5.7% compared to 6.6%, a difference of 14.9%), births to unmarried women (32.2% compared to 36.2%, a difference of 12.5%), and single father households (2.7% compared to 2.5%, a difference of 6.1%). Conversely, both communities are more comparable in terms of average family size (3.16 compared to 3.16, a difference of 0.29%), currently married (46.7% compared to 46.5%, a difference of 0.34%), and married-couple households (45.1% compared to 45.7%, a difference of 1.2%).
Tlingit-Haida vs Potawatomi Family Structure
Family Structure MetricTlingit-HaidaPotawatomi
Family Households
Tragic
61.6%
Tragic
63.3%
Family Households with Children
Tragic
26.0%
Tragic
26.9%
Married-couple Households
Tragic
45.1%
Poor
45.7%
Average Family Size
Tragic
3.16
Tragic
3.16
Single Father Households
Tragic
2.7%
Tragic
2.5%
Single Mother Households
Exceptional
5.7%
Poor
6.6%
Currently Married
Average
46.7%
Average
46.5%
Divorced or Separated
Tragic
13.2%
Tragic
13.5%
Births to Unmarried Women
Fair
32.2%
Tragic
36.2%

Tlingit-Haida vs Potawatomi Vehicle Availability

When considering vehicle availability, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in no vehicles in household (10.1% compared to 8.8%, a difference of 13.8%), 3 or more vehicles in household (19.9% compared to 21.9%, a difference of 10.0%), and 4 or more vehicles in household (6.8% compared to 7.3%, a difference of 6.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 91.3%, a difference of 1.4%), 2 or more vehicles in household (55.8% compared to 58.0%, a difference of 3.9%), and 4 or more vehicles in household (6.8% compared to 7.3%, a difference of 6.3%).
Tlingit-Haida vs Potawatomi Vehicle Availability
Vehicle Availability MetricTlingit-HaidaPotawatomi
No Vehicles Available
Good
10.1%
Exceptional
8.8%
1+ Vehicles Available
Good
90.1%
Exceptional
91.3%
2+ Vehicles Available
Good
55.8%
Exceptional
58.0%
3+ Vehicles Available
Good
19.9%
Exceptional
21.9%
4+ Vehicles Available
Exceptional
6.8%
Exceptional
7.3%

Tlingit-Haida vs Potawatomi Education Level

When considering education level, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in no schooling completed (1.5% compared to 1.7%, a difference of 20.4%), professional degree (4.0% compared to 3.6%, a difference of 12.1%), and doctorate degree (1.7% compared to 1.6%, a difference of 9.1%). Conversely, both communities are more comparable in terms of nursery school (98.7% compared to 98.3%, a difference of 0.39%), 1st grade (98.7% compared to 98.3%, a difference of 0.39%), and kindergarten (98.7% compared to 98.3%, a difference of 0.41%).
Tlingit-Haida vs Potawatomi Education Level
Education Level MetricTlingit-HaidaPotawatomi
No Schooling Completed
Exceptional
1.5%
Exceptional
1.7%
Nursery School
Exceptional
98.7%
Exceptional
98.3%
Kindergarten
Exceptional
98.7%
Exceptional
98.3%
1st Grade
Exceptional
98.7%
Exceptional
98.3%
2nd Grade
Exceptional
98.6%
Exceptional
98.2%
3rd Grade
Exceptional
98.5%
Exceptional
98.1%
4th Grade
Exceptional
98.4%
Exceptional
97.9%
5th Grade
Exceptional
98.3%
Exceptional
97.8%
6th Grade
Exceptional
98.1%
Exceptional
97.6%
7th Grade
Exceptional
97.5%
Exceptional
96.7%
8th Grade
Exceptional
97.3%
Exceptional
96.4%
9th Grade
Exceptional
96.6%
Exceptional
95.5%
10th Grade
Exceptional
95.7%
Exceptional
94.3%
11th Grade
Exceptional
94.4%
Good
92.8%
12th Grade, No Diploma
Exceptional
93.0%
Fair
91.0%
High School Diploma
Exceptional
91.4%
Average
89.0%
GED/Equivalency
Exceptional
87.0%
Tragic
84.7%
College, Under 1 year
Good
65.9%
Tragic
61.8%
College, 1 year or more
Average
59.4%
Tragic
54.6%
Associate's Degree
Tragic
43.0%
Tragic
40.4%
Bachelor's Degree
Tragic
34.6%
Tragic
31.9%
Master's Degree
Tragic
12.8%
Tragic
12.1%
Professional Degree
Tragic
4.0%
Tragic
3.6%
Doctorate Degree
Poor
1.7%
Tragic
1.6%

Tlingit-Haida vs Potawatomi Disability

When considering disability, the most significant differences between Tlingit-Haida and Potawatomi communities in the United States are seen in hearing disability (4.8% compared to 4.1%, a difference of 17.6%), ambulatory disability (6.5% compared to 7.3%, a difference of 13.3%), and disability age under 5 (1.5% compared to 1.4%, a difference of 12.9%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (27.1% compared to 27.0%, a difference of 0.41%), male disability (13.8% compared to 14.2%, a difference of 2.8%), and disability age over 75 (50.6% compared to 49.0%, a difference of 3.2%).
Tlingit-Haida vs Potawatomi Disability
Disability MetricTlingit-HaidaPotawatomi
Disability
Tragic
13.5%
Tragic
14.2%
Males
Tragic
13.8%
Tragic
14.2%
Females
Tragic
13.2%
Tragic
14.1%
Age | Under 5 years
Tragic
1.5%
Tragic
1.4%
Age | 5 to 17 years
Tragic
5.9%
Tragic
6.5%
Age | 18 to 34 years
Tragic
7.7%
Tragic
8.2%
Age | 35 to 64 years
Tragic
13.2%
Tragic
14.8%
Age | 65 to 74 years
Tragic
27.1%
Tragic
27.0%
Age | Over 75 years
Tragic
50.6%
Tragic
49.0%
Vision
Tragic
2.9%
Tragic
2.6%
Hearing
Tragic
4.8%
Tragic
4.1%
Cognitive
Average
17.2%
Tragic
18.0%
Ambulatory
Tragic
6.5%
Tragic
7.3%
Self-Care
Good
2.4%
Tragic
2.6%