Zimbabwean vs Tlingit-Haida Community Comparison

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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)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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican 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'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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Zimbabweans

Tlingit-Haida

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

Tlingit-Haida Integration in Zimbabwean Communities

The statistical analysis conducted on geographies consisting of 22,906,365 people shows a very strong positive correlation between the proportion of Tlingit-Haida within Zimbabwean communities in the United States with a correlation coefficient (R) of 0.837. On average, for every 1% (one percent) increase in Zimbabweans within a typical geography, there is an increase of 0.719% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Zimbabweans corresponds to an increase of 719.2 Tlingit-Haida.
Zimbabwean Integration in Tlingit-Haida Communities

Zimbabwean vs Tlingit-Haida Income

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

Zimbabwean vs Tlingit-Haida Poverty

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

Zimbabwean vs Tlingit-Haida Unemployment

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

Zimbabwean vs Tlingit-Haida Labor Participation

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

Zimbabwean vs Tlingit-Haida Family Structure

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

Zimbabwean vs Tlingit-Haida Vehicle Availability

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

Zimbabwean vs Tlingit-Haida Education Level

When considering education level, the most significant differences between Zimbabwean and Tlingit-Haida communities in the United States are seen in master's degree (17.7% compared to 12.8%, a difference of 38.0%), doctorate degree (2.3% compared to 1.7%, a difference of 33.4%), and professional degree (5.2% compared to 4.0%, a difference of 30.3%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.7% compared to 93.0%, a difference of 0.27%), nursery school (98.3% compared to 98.7%, a difference of 0.42%), and 1st grade (98.3% compared to 98.7%, a difference of 0.42%).
Zimbabwean vs Tlingit-Haida Education Level
Education Level MetricZimbabweanTlingit-Haida
No Schooling Completed
Exceptional
1.7%
Exceptional
1.5%
Nursery School
Exceptional
98.3%
Exceptional
98.7%
Kindergarten
Exceptional
98.3%
Exceptional
98.7%
1st Grade
Exceptional
98.3%
Exceptional
98.7%
2nd Grade
Exceptional
98.2%
Exceptional
98.6%
3rd Grade
Exceptional
98.1%
Exceptional
98.5%
4th Grade
Exceptional
97.9%
Exceptional
98.4%
5th Grade
Exceptional
97.8%
Exceptional
98.3%
6th Grade
Exceptional
97.6%
Exceptional
98.1%
7th Grade
Exceptional
96.8%
Exceptional
97.5%
8th Grade
Exceptional
96.5%
Exceptional
97.3%
9th Grade
Exceptional
95.9%
Exceptional
96.6%
10th Grade
Exceptional
94.9%
Exceptional
95.7%
11th Grade
Exceptional
93.9%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
92.7%
Exceptional
93.0%
High School Diploma
Exceptional
91.1%
Exceptional
91.4%
GED/Equivalency
Exceptional
88.0%
Exceptional
87.0%
College, Under 1 year
Exceptional
69.9%
Good
65.9%
College, 1 year or more
Exceptional
64.2%
Average
59.4%
Associate's Degree
Exceptional
51.3%
Tragic
43.0%
Bachelor's Degree
Exceptional
43.3%
Tragic
34.6%
Master's Degree
Exceptional
17.7%
Tragic
12.8%
Professional Degree
Exceptional
5.2%
Tragic
4.0%
Doctorate Degree
Exceptional
2.3%
Poor
1.7%

Zimbabwean vs Tlingit-Haida Disability

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