Tlingit-Haida vs Zimbabwean Community Comparison

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Tlingit-Haida
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
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
Zimbabwean
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

Zimbabweans

Average
Exceptional
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Tlingit-Haida Communities

The statistical analysis conducted on geographies consisting of 22,906,365 people shows a strong positive correlation between the proportion of Zimbabweans within Tlingit-Haida communities in the United States with a correlation coefficient (R) of 0.753. On average, for every 1% (one percent) increase in Tlingit-Haida within a typical geography, there is an increase of 0.245% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Tlingit-Haida corresponds to an increase of 245.4 Zimbabweans.
Tlingit-Haida Integration in Zimbabwean Communities

Tlingit-Haida vs Zimbabwean Income

When considering income, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in wage/income gap (24.0% compared to 26.3%, a difference of 9.8%), householder income ages 45 - 64 years ($97,417 compared to $106,849, a difference of 9.7%), and householder income under 25 years ($55,914 compared to $51,259, a difference of 9.1%). Conversely, both communities are more comparable in terms of median female earnings ($39,513 compared to $40,798, a difference of 3.3%), householder income over 65 years ($62,922 compared to $65,854, a difference of 4.7%), and per capita income ($43,516 compared to $45,804, a difference of 5.3%).
Tlingit-Haida vs Zimbabwean Income
Income MetricTlingit-HaidaZimbabwean
Per Capita Income
Average
$43,516
Exceptional
$45,804
Median Family Income
Fair
$101,092
Exceptional
$110,011
Median Household Income
Fair
$83,968
Exceptional
$90,618
Median Earnings
Fair
$45,468
Exceptional
$48,229
Median Male Earnings
Poor
$52,409
Excellent
$56,302
Median Female Earnings
Average
$39,513
Exceptional
$40,798
Householder Age | Under 25 years
Exceptional
$55,914
Tragic
$51,259
Householder Age | 25 - 44 years
Fair
$92,987
Exceptional
$98,586
Householder Age | 45 - 64 years
Poor
$97,417
Exceptional
$106,849
Householder Age | Over 65 years
Excellent
$62,922
Exceptional
$65,854
Wage/Income Gap
Exceptional
24.0%
Fair
26.3%

Tlingit-Haida vs Zimbabwean Poverty

When considering poverty, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in receiving food stamps (11.6% compared to 9.5%, a difference of 22.2%), female poverty among 25-34 year olds (13.8% compared to 11.7%, a difference of 18.3%), and seniors poverty over the age of 65 (8.3% compared to 9.6%, a difference of 15.1%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.6%, a difference of 1.5%), child poverty among girls under 16 (14.7% compared to 14.4%, a difference of 1.9%), and female poverty (12.5% compared to 12.3%, a difference of 2.0%).
Tlingit-Haida vs Zimbabwean Poverty
Poverty MetricTlingit-HaidaZimbabwean
Poverty
Excellent
11.7%
Exceptional
11.3%
Families
Exceptional
8.0%
Exceptional
7.8%
Males
Good
10.9%
Exceptional
10.2%
Females
Exceptional
12.5%
Exceptional
12.3%
Females 18 to 24 years
Tragic
22.0%
Fair
20.4%
Females 25 to 34 years
Fair
13.8%
Exceptional
11.7%
Children Under 5 years
Exceptional
15.9%
Exceptional
15.2%
Children Under 16 years
Exceptional
14.9%
Exceptional
14.2%
Boys Under 16 years
Exceptional
15.3%
Exceptional
14.3%
Girls Under 16 years
Exceptional
14.7%
Exceptional
14.4%
Single Males
Exceptional
11.6%
Poor
13.1%
Single Females
Tragic
21.9%
Exceptional
19.5%
Single Fathers
Exceptional
15.3%
Exceptional
15.6%
Single Mothers
Tragic
30.9%
Exceptional
27.9%
Married Couples
Exceptional
4.4%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
8.3%
Exceptional
9.6%
Seniors Over 75 years
Exceptional
9.7%
Exceptional
11.2%
Receiving Food Stamps
Average
11.6%
Exceptional
9.5%

Tlingit-Haida vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (20.7% compared to 8.7%, a difference of 137.6%), unemployment among ages 16 to 19 years (23.5% compared to 15.4%, a difference of 52.4%), and unemployment among ages 60 to 64 years (6.4% compared to 4.5%, a difference of 42.8%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.3% compared to 4.3%, a difference of 1.7%), female unemployment (4.9% compared to 4.8%, a difference of 3.1%), and unemployment among women with children under 18 years (5.4% compared to 5.1%, a difference of 4.9%).
Tlingit-Haida vs Zimbabwean Unemployment
Unemployment MetricTlingit-HaidaZimbabwean
Unemployment
Tragic
5.6%
Exceptional
4.8%
Males
Tragic
6.0%
Exceptional
4.8%
Females
Exceptional
4.9%
Exceptional
4.8%
Youth < 25
Tragic
12.7%
Exceptional
10.2%
Age | 16 to 19 years
Tragic
23.5%
Exceptional
15.4%
Age | 20 to 24 years
Fair
10.3%
Exceptional
9.2%
Age | 25 to 29 years
Tragic
8.7%
Exceptional
6.4%
Age | 30 to 34 years
Tragic
6.0%
Exceptional
4.8%
Age | 35 to 44 years
Exceptional
4.3%
Exceptional
4.3%
Age | 45 to 54 years
Tragic
4.7%
Exceptional
4.2%
Age | 55 to 59 years
Tragic
5.7%
Exceptional
4.2%
Age | 60 to 64 years
Tragic
6.4%
Exceptional
4.5%
Age | 65 to 74 years
Tragic
6.5%
Tragic
5.9%
Seniors > 65
Tragic
6.8%
Tragic
5.6%
Seniors > 75
Tragic
20.7%
Average
8.7%
Women w/ Children < 6
Tragic
8.9%
Exceptional
7.3%
Women w/ Children 6 to 17
Exceptional
7.1%
Exceptional
8.6%
Women w/ Children < 18
Good
5.4%
Exceptional
5.1%

Tlingit-Haida vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 38.7%, a difference of 4.6%), in labor force | age 35-44 (82.5% compared to 86.1%, a difference of 4.3%), and in labor force | age 30-34 (82.3% compared to 85.6%, a difference of 4.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.4% compared to 84.5%, a difference of 0.10%), in labor force | age 45-54 (83.9% compared to 84.0%, a difference of 0.13%), and in labor force | age 20-64 (79.0% compared to 81.0%, a difference of 2.5%).
Tlingit-Haida vs Zimbabwean Labor Participation
Labor Participation MetricTlingit-HaidaZimbabwean
In Labor Force | Age > 16
Excellent
65.5%
Exceptional
67.3%
In Labor Force | Age 20-64
Tragic
79.0%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
40.5%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.9%
Excellent
75.6%
In Labor Force | Age 25-29
Poor
84.4%
Fair
84.5%
In Labor Force | Age 30-34
Tragic
82.3%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
82.5%
Exceptional
86.1%
In Labor Force | Age 45-54
Exceptional
83.9%
Exceptional
84.0%

Tlingit-Haida vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in single father households (2.7% compared to 2.2%, a difference of 21.0%), divorced or separated (13.2% compared to 11.6%, a difference of 13.9%), and births to unmarried women (32.2% compared to 28.7%, a difference of 12.3%). Conversely, both communities are more comparable in terms of currently married (46.7% compared to 47.0%, a difference of 0.73%), average family size (3.16 compared to 3.20, a difference of 1.4%), and family households (61.6% compared to 64.1%, a difference of 4.0%).
Tlingit-Haida vs Zimbabwean Family Structure
Family Structure MetricTlingit-HaidaZimbabwean
Family Households
Tragic
61.6%
Fair
64.1%
Family Households with Children
Tragic
26.0%
Exceptional
27.9%
Married-couple Households
Tragic
45.1%
Excellent
47.4%
Average Family Size
Tragic
3.16
Poor
3.20
Single Father Households
Tragic
2.7%
Exceptional
2.2%
Single Mother Households
Exceptional
5.7%
Excellent
6.1%
Currently Married
Average
46.7%
Good
47.0%
Divorced or Separated
Tragic
13.2%
Exceptional
11.6%
Births to Unmarried Women
Fair
32.2%
Exceptional
28.7%

Tlingit-Haida vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in no vehicles in household (10.1% compared to 9.0%, a difference of 11.3%), 4 or more vehicles in household (6.8% compared to 6.4%, a difference of 6.3%), and 2 or more vehicles in household (55.8% compared to 57.2%, a difference of 2.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 91.0%, a difference of 1.1%), 3 or more vehicles in household (19.9% compared to 20.3%, a difference of 1.9%), and 2 or more vehicles in household (55.8% compared to 57.2%, a difference of 2.6%).
Tlingit-Haida vs Zimbabwean Vehicle Availability
Vehicle Availability MetricTlingit-HaidaZimbabwean
No Vehicles Available
Good
10.1%
Exceptional
9.0%
1+ Vehicles Available
Good
90.1%
Exceptional
91.0%
2+ Vehicles Available
Good
55.8%
Exceptional
57.2%
3+ Vehicles Available
Good
19.9%
Excellent
20.3%
4+ Vehicles Available
Exceptional
6.8%
Good
6.4%

Tlingit-Haida vs Zimbabwean Education Level

When considering education level, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in master's degree (12.8% compared to 17.7%, a difference of 38.0%), doctorate degree (1.7% compared to 2.3%, a difference of 33.4%), and professional degree (4.0% compared to 5.2%, a difference of 30.3%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (93.0% compared to 92.7%, a difference of 0.27%), nursery school (98.7% compared to 98.3%, a difference of 0.42%), and 1st grade (98.7% compared to 98.3%, a difference of 0.42%).
Tlingit-Haida vs Zimbabwean Education Level
Education Level MetricTlingit-HaidaZimbabwean
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
96.8%
8th Grade
Exceptional
97.3%
Exceptional
96.5%
9th Grade
Exceptional
96.6%
Exceptional
95.9%
10th Grade
Exceptional
95.7%
Exceptional
94.9%
11th Grade
Exceptional
94.4%
Exceptional
93.9%
12th Grade, No Diploma
Exceptional
93.0%
Exceptional
92.7%
High School Diploma
Exceptional
91.4%
Exceptional
91.1%
GED/Equivalency
Exceptional
87.0%
Exceptional
88.0%
College, Under 1 year
Good
65.9%
Exceptional
69.9%
College, 1 year or more
Average
59.4%
Exceptional
64.2%
Associate's Degree
Tragic
43.0%
Exceptional
51.3%
Bachelor's Degree
Tragic
34.6%
Exceptional
43.3%
Master's Degree
Tragic
12.8%
Exceptional
17.7%
Professional Degree
Tragic
4.0%
Exceptional
5.2%
Doctorate Degree
Poor
1.7%
Exceptional
2.3%

Tlingit-Haida vs Zimbabwean Disability

When considering disability, the most significant differences between Tlingit-Haida and Zimbabwean communities in the United States are seen in hearing disability (4.8% compared to 2.8%, a difference of 70.4%), vision disability (2.9% compared to 2.0%, a difference of 45.5%), and disability age under 5 (1.5% compared to 1.2%, a difference of 31.1%). Conversely, both communities are more comparable in terms of cognitive disability (17.2% compared to 17.6%, a difference of 2.2%), disability age over 75 (50.6% compared to 48.1%, a difference of 5.3%), and disability age 5 to 17 (5.9% compared to 5.5%, a difference of 5.8%).
Tlingit-Haida vs Zimbabwean Disability
Disability MetricTlingit-HaidaZimbabwean
Disability
Tragic
13.5%
Exceptional
10.9%
Males
Tragic
13.8%
Exceptional
10.6%
Females
Tragic
13.2%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.5%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
5.9%
Good
5.5%
Age | 18 to 34 years
Tragic
7.7%
Good
6.5%
Age | 35 to 64 years
Tragic
13.2%
Exceptional
10.4%
Age | 65 to 74 years
Tragic
27.1%
Exceptional
21.5%
Age | Over 75 years
Tragic
50.6%
Tragic
48.1%
Vision
Tragic
2.9%
Exceptional
2.0%
Hearing
Tragic
4.8%
Excellent
2.8%
Cognitive
Average
17.2%
Tragic
17.6%
Ambulatory
Tragic
6.5%
Exceptional
5.4%
Self-Care
Good
2.4%
Exceptional
2.2%