Hungarian vs Tlingit-Haida Community Comparison

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Hungarian
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaIcelanderIndian (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 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

Hungarians

Tlingit-Haida

Good
Average
6,572
SOCIAL INDEX
63.2/ 100
SOCIAL RATING
149th/ 347
SOCIAL RANK
5,201
SOCIAL INDEX
49.5/ 100
SOCIAL RATING
182nd/ 347
SOCIAL RANK

Tlingit-Haida Integration in Hungarian Communities

The statistical analysis conducted on geographies consisting of 59,348,145 people shows a substantial positive correlation between the proportion of Tlingit-Haida within Hungarian communities in the United States with a correlation coefficient (R) of 0.505. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.052% in Tlingit-Haida. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 51.7 Tlingit-Haida.
Hungarian Integration in Tlingit-Haida Communities

Hungarian vs Tlingit-Haida Income

When considering income, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in wage/income gap (29.0% compared to 24.0%, a difference of 21.2%), householder income under 25 years ($50,247 compared to $55,914, a difference of 11.3%), and median male earnings ($57,309 compared to $52,409, a difference of 9.3%). Conversely, both communities are more comparable in terms of median female earnings ($39,510 compared to $39,513, a difference of 0.010%), householder income over 65 years ($61,673 compared to $62,922, a difference of 2.0%), and median household income ($86,920 compared to $83,968, a difference of 3.5%).
Hungarian vs Tlingit-Haida Income
Income MetricHungarianTlingit-Haida
Per Capita Income
Excellent
$45,426
Average
$43,516
Median Family Income
Excellent
$105,609
Fair
$101,092
Median Household Income
Good
$86,920
Fair
$83,968
Median Earnings
Excellent
$47,795
Fair
$45,468
Median Male Earnings
Exceptional
$57,309
Poor
$52,409
Median Female Earnings
Average
$39,510
Average
$39,513
Householder Age | Under 25 years
Tragic
$50,247
Exceptional
$55,914
Householder Age | 25 - 44 years
Excellent
$97,544
Fair
$92,987
Householder Age | 45 - 64 years
Excellent
$103,913
Poor
$97,417
Householder Age | Over 65 years
Good
$61,673
Excellent
$62,922
Wage/Income Gap
Tragic
29.0%
Exceptional
24.0%

Hungarian vs Tlingit-Haida Poverty

When considering poverty, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in married-couple family poverty (5.3% compared to 4.4%, a difference of 21.4%), single father poverty (18.5% compared to 15.3%, a difference of 20.3%), and single male poverty (13.8% compared to 11.6%, a difference of 18.8%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (14.1% compared to 13.8%, a difference of 2.2%), male poverty (11.1% compared to 10.9%, a difference of 2.4%), and single mother poverty (29.9% compared to 30.9%, a difference of 3.4%).
Hungarian vs Tlingit-Haida Poverty
Poverty MetricHungarianTlingit-Haida
Poverty
Good
12.2%
Excellent
11.7%
Families
Good
8.8%
Exceptional
8.0%
Males
Average
11.1%
Good
10.9%
Females
Good
13.2%
Exceptional
12.5%
Females 18 to 24 years
Good
19.8%
Tragic
22.0%
Females 25 to 34 years
Poor
14.1%
Fair
13.8%
Children Under 5 years
Poor
17.9%
Exceptional
15.9%
Children Under 16 years
Average
16.2%
Exceptional
14.9%
Boys Under 16 years
Average
16.5%
Exceptional
15.3%
Girls Under 16 years
Average
16.6%
Exceptional
14.7%
Single Males
Tragic
13.8%
Exceptional
11.6%
Single Females
Fair
21.1%
Tragic
21.9%
Single Fathers
Tragic
18.5%
Exceptional
15.3%
Single Mothers
Poor
29.9%
Tragic
30.9%
Married Couples
Fair
5.3%
Exceptional
4.4%
Seniors Over 65 years
Exceptional
9.7%
Exceptional
8.3%
Seniors Over 75 years
Exceptional
11.2%
Exceptional
9.7%
Receiving Food Stamps
Excellent
11.0%
Average
11.6%

Hungarian vs Tlingit-Haida Unemployment

When considering unemployment, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 20.7%, a difference of 105.5%), unemployment among ages 16 to 19 years (17.1% compared to 23.5%, a difference of 37.9%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 7.1%, a difference of 31.5%). Conversely, both communities are more comparable in terms of female unemployment (4.9% compared to 4.9%, a difference of 0.010%), unemployment among ages 20 to 24 years (10.2% compared to 10.3%, a difference of 1.4%), and unemployment among women with children under 18 years (5.3% compared to 5.4%, a difference of 2.8%).
Hungarian vs Tlingit-Haida Unemployment
Unemployment MetricHungarianTlingit-Haida
Unemployment
Exceptional
5.0%
Tragic
5.6%
Males
Excellent
5.2%
Tragic
6.0%
Females
Exceptional
4.9%
Exceptional
4.9%
Youth < 25
Excellent
11.4%
Tragic
12.7%
Age | 16 to 19 years
Exceptional
17.1%
Tragic
23.5%
Age | 20 to 24 years
Good
10.2%
Fair
10.3%
Age | 25 to 29 years
Fair
6.8%
Tragic
8.7%
Age | 30 to 34 years
Average
5.5%
Tragic
6.0%
Age | 35 to 44 years
Good
4.6%
Exceptional
4.3%
Age | 45 to 54 years
Good
4.5%
Tragic
4.7%
Age | 55 to 59 years
Average
4.8%
Tragic
5.7%
Age | 60 to 64 years
Average
4.9%
Tragic
6.4%
Age | 65 to 74 years
Tragic
5.5%
Tragic
6.5%
Seniors > 65
Tragic
5.3%
Tragic
6.8%
Seniors > 75
Tragic
10.1%
Tragic
20.7%
Women w/ Children < 6
Fair
7.8%
Tragic
8.9%
Women w/ Children 6 to 17
Tragic
9.3%
Exceptional
7.1%
Women w/ Children < 18
Excellent
5.3%
Good
5.4%

Hungarian vs Tlingit-Haida Labor Participation

When considering labor participation, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in in labor force | age 30-34 (84.5% compared to 82.3%, a difference of 2.7%), in labor force | age > 16 (63.8% compared to 65.5%, a difference of 2.6%), and in labor force | age 20-24 (76.3% compared to 77.9%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.2% compared to 79.0%, a difference of 0.18%), in labor force | age 25-29 (84.6% compared to 84.4%, a difference of 0.25%), and in labor force | age 45-54 (82.7% compared to 83.9%, a difference of 1.5%).
Hungarian vs Tlingit-Haida Labor Participation
Labor Participation MetricHungarianTlingit-Haida
In Labor Force | Age > 16
Tragic
63.8%
Excellent
65.5%
In Labor Force | Age 20-64
Tragic
79.2%
Tragic
79.0%
In Labor Force | Age 16-19
Exceptional
39.8%
Exceptional
40.5%
In Labor Force | Age 20-24
Exceptional
76.3%
Exceptional
77.9%
In Labor Force | Age 25-29
Average
84.6%
Poor
84.4%
In Labor Force | Age 30-34
Fair
84.5%
Tragic
82.3%
In Labor Force | Age 35-44
Fair
84.2%
Tragic
82.5%
In Labor Force | Age 45-54
Fair
82.7%
Exceptional
83.9%

Hungarian vs Tlingit-Haida Family Structure

When considering family structure, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in single father households (2.2% compared to 2.7%, a difference of 23.1%), divorced or separated (12.0% compared to 13.2%, a difference of 10.2%), and married-couple households (49.1% compared to 45.1%, a difference of 8.7%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.16, a difference of 0.68%), single mother households (5.7% compared to 5.7%, a difference of 1.3%), and births to unmarried women (31.2% compared to 32.2%, a difference of 3.1%).
Hungarian vs Tlingit-Haida Family Structure
Family Structure MetricHungarianTlingit-Haida
Family Households
Exceptional
64.9%
Tragic
61.6%
Family Households with Children
Good
27.6%
Tragic
26.0%
Married-couple Households
Exceptional
49.1%
Tragic
45.1%
Average Family Size
Tragic
3.18
Tragic
3.16
Single Father Households
Exceptional
2.2%
Tragic
2.7%
Single Mother Households
Exceptional
5.7%
Exceptional
5.7%
Currently Married
Exceptional
48.8%
Average
46.7%
Divorced or Separated
Good
12.0%
Tragic
13.2%
Births to Unmarried Women
Good
31.2%
Fair
32.2%

Hungarian vs Tlingit-Haida Vehicle Availability

When considering vehicle availability, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 6.8%, a difference of 7.0%), no vehicles in household (9.9% compared to 10.1%, a difference of 1.5%), and 2 or more vehicles in household (56.5% compared to 55.8%, a difference of 1.3%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.8% compared to 19.9%, a difference of 0.26%), 1 or more vehicles in household (90.3% compared to 90.1%, a difference of 0.31%), and 2 or more vehicles in household (56.5% compared to 55.8%, a difference of 1.3%).
Hungarian vs Tlingit-Haida Vehicle Availability
Vehicle Availability MetricHungarianTlingit-Haida
No Vehicles Available
Excellent
9.9%
Good
10.1%
1+ Vehicles Available
Excellent
90.3%
Good
90.1%
2+ Vehicles Available
Excellent
56.5%
Good
55.8%
3+ Vehicles Available
Good
19.8%
Good
19.9%
4+ Vehicles Available
Good
6.4%
Exceptional
6.8%

Hungarian vs Tlingit-Haida Education Level

When considering education level, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in master's degree (15.6% compared to 12.8%, a difference of 21.2%), professional degree (4.6% compared to 4.0%, a difference of 16.2%), and doctorate degree (1.9% compared to 1.7%, a difference of 11.6%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.8% compared to 93.0%, a difference of 0.14%), 3rd grade (98.3% compared to 98.5%, a difference of 0.23%), and 2nd grade (98.4% compared to 98.6%, a difference of 0.24%).
Hungarian vs Tlingit-Haida Education Level
Education Level MetricHungarianTlingit-Haida
No Schooling Completed
Exceptional
1.6%
Exceptional
1.5%
Nursery School
Exceptional
98.5%
Exceptional
98.7%
Kindergarten
Exceptional
98.5%
Exceptional
98.7%
1st Grade
Exceptional
98.4%
Exceptional
98.7%
2nd Grade
Exceptional
98.4%
Exceptional
98.6%
3rd Grade
Exceptional
98.3%
Exceptional
98.5%
4th Grade
Exceptional
98.2%
Exceptional
98.4%
5th Grade
Exceptional
98.0%
Exceptional
98.3%
6th Grade
Exceptional
97.8%
Exceptional
98.1%
7th Grade
Exceptional
97.2%
Exceptional
97.5%
8th Grade
Exceptional
97.0%
Exceptional
97.3%
9th Grade
Exceptional
96.2%
Exceptional
96.6%
10th Grade
Exceptional
95.3%
Exceptional
95.7%
11th Grade
Exceptional
94.2%
Exceptional
94.4%
12th Grade, No Diploma
Exceptional
92.8%
Exceptional
93.0%
High School Diploma
Exceptional
90.8%
Exceptional
91.4%
GED/Equivalency
Exceptional
87.4%
Exceptional
87.0%
College, Under 1 year
Average
65.6%
Good
65.9%
College, 1 year or more
Average
59.5%
Average
59.4%
Associate's Degree
Average
46.7%
Tragic
43.0%
Bachelor's Degree
Good
38.3%
Tragic
34.6%
Master's Degree
Good
15.6%
Tragic
12.8%
Professional Degree
Excellent
4.6%
Tragic
4.0%
Doctorate Degree
Good
1.9%
Poor
1.7%

Hungarian vs Tlingit-Haida Disability

When considering disability, the most significant differences between Hungarian and Tlingit-Haida communities in the United States are seen in hearing disability (3.4% compared to 4.8%, a difference of 43.1%), vision disability (2.1% compared to 2.9%, a difference of 33.3%), and disability age 65 to 74 (22.4% compared to 27.1%, a difference of 20.9%). Conversely, both communities are more comparable in terms of disability age under 5 (1.5% compared to 1.5%, a difference of 0.37%), disability age 5 to 17 (5.8% compared to 5.9%, a difference of 0.41%), and self-care disability (2.5% compared to 2.4%, a difference of 1.5%).
Hungarian vs Tlingit-Haida Disability
Disability MetricHungarianTlingit-Haida
Disability
Tragic
12.2%
Tragic
13.5%
Males
Tragic
12.0%
Tragic
13.8%
Females
Tragic
12.5%
Tragic
13.2%
Age | Under 5 years
Tragic
1.5%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Tragic
5.9%
Age | 18 to 34 years
Tragic
7.1%
Tragic
7.7%
Age | 35 to 64 years
Fair
11.4%
Tragic
13.2%
Age | 65 to 74 years
Exceptional
22.4%
Tragic
27.1%
Age | Over 75 years
Exceptional
46.5%
Tragic
50.6%
Vision
Good
2.1%
Tragic
2.9%
Hearing
Tragic
3.4%
Tragic
4.8%
Cognitive
Exceptional
16.5%
Average
17.2%
Ambulatory
Tragic
6.3%
Tragic
6.5%
Self-Care
Average
2.5%
Good
2.4%