Immigrants from Hungary vs Yakama Community Comparison

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Immigrants from Hungary
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican 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 IndianYaquiYugoslavianYup'ikZimbabwean
Immigration
NonimmigrantsImmigrantsAfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma/MyanmarCambodiaCameroonCanadaCaribbeanCentral 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 TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Yakama
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 KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin 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

Immigrants from Hungary

Yakama

Good
Poor
8,157
SOCIAL INDEX
79.0/ 100
SOCIAL RATING
84th/ 347
SOCIAL RANK
1,331
SOCIAL INDEX
10.9/ 100
SOCIAL RATING
315th/ 347
SOCIAL RANK

Yakama Integration in Immigrants from Hungary Communities

The statistical analysis conducted on geographies consisting of 12,810,929 people shows a significant positive correlation between the proportion of Yakama within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.629. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.271% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 271.2 Yakama.
Immigrants from Hungary Integration in Yakama Communities

Immigrants from Hungary vs Yakama Income

When considering income, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in per capita income ($49,303 compared to $33,009, a difference of 49.4%), householder income ages 25 - 44 years ($102,655 compared to $76,226, a difference of 34.7%), and median male earnings ($59,806 compared to $45,002, a difference of 32.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $54,321, a difference of 2.9%), wage/income gap (27.0% compared to 23.7%, a difference of 13.8%), and householder income over 65 years ($64,277 compared to $56,234, a difference of 14.3%).
Immigrants from Hungary vs Yakama Income
Income MetricImmigrants from HungaryYakama
Per Capita Income
Exceptional
$49,303
Tragic
$33,009
Median Family Income
Exceptional
$111,378
Tragic
$83,932
Median Household Income
Exceptional
$92,094
Tragic
$72,225
Median Earnings
Exceptional
$50,227
Tragic
$39,107
Median Male Earnings
Exceptional
$59,806
Tragic
$45,002
Median Female Earnings
Exceptional
$41,820
Tragic
$33,354
Householder Age | Under 25 years
Excellent
$52,798
Exceptional
$54,321
Householder Age | 25 - 44 years
Exceptional
$102,655
Tragic
$76,226
Householder Age | 45 - 64 years
Exceptional
$108,267
Tragic
$86,992
Householder Age | Over 65 years
Exceptional
$64,277
Tragic
$56,234
Wage/Income Gap
Tragic
27.0%
Exceptional
23.7%

Immigrants from Hungary vs Yakama Poverty

When considering poverty, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in receiving food stamps (10.3% compared to 21.4%, a difference of 107.1%), married-couple family poverty (4.9% compared to 9.0%, a difference of 82.6%), and family poverty (8.4% compared to 13.1%, a difference of 56.6%). Conversely, both communities are more comparable in terms of single father poverty (16.1% compared to 18.1%, a difference of 12.8%), single male poverty (12.6% compared to 15.9%, a difference of 26.1%), and single mother poverty (28.9% compared to 36.4%, a difference of 26.1%).
Immigrants from Hungary vs Yakama Poverty
Poverty MetricImmigrants from HungaryYakama
Poverty
Excellent
11.7%
Tragic
16.7%
Families
Excellent
8.4%
Tragic
13.1%
Males
Excellent
10.7%
Tragic
15.3%
Females
Exceptional
12.7%
Tragic
18.0%
Females 18 to 24 years
Exceptional
19.3%
Tragic
25.3%
Females 25 to 34 years
Excellent
13.0%
Tragic
17.6%
Children Under 5 years
Excellent
16.5%
Tragic
23.1%
Children Under 16 years
Excellent
15.5%
Tragic
22.1%
Boys Under 16 years
Excellent
15.7%
Tragic
21.7%
Girls Under 16 years
Excellent
15.8%
Tragic
22.6%
Single Males
Good
12.6%
Tragic
15.9%
Single Females
Exceptional
20.2%
Tragic
28.3%
Single Fathers
Good
16.1%
Tragic
18.1%
Single Mothers
Good
28.9%
Tragic
36.4%
Married Couples
Excellent
4.9%
Tragic
9.0%
Seniors Over 65 years
Excellent
10.4%
Tragic
14.8%
Seniors Over 75 years
Excellent
11.8%
Tragic
18.3%
Receiving Food Stamps
Exceptional
10.3%
Tragic
21.4%

Immigrants from Hungary vs Yakama Unemployment

When considering unemployment, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 18.4%, a difference of 139.0%), unemployment among ages 55 to 59 years (4.8% compared to 8.9%, a difference of 84.6%), and unemployment among ages 30 to 34 years (5.4% compared to 9.8%, a difference of 80.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.1% compared to 6.6%, a difference of 7.6%), unemployment among women with children ages 6 to 17 years (8.9% compared to 9.9%, a difference of 11.0%), and unemployment among ages 35 to 44 years (4.6% compared to 5.6%, a difference of 22.7%).
Immigrants from Hungary vs Yakama Unemployment
Unemployment MetricImmigrants from HungaryYakama
Unemployment
Excellent
5.1%
Tragic
7.3%
Males
Good
5.2%
Tragic
7.9%
Females
Excellent
5.1%
Tragic
6.7%
Youth < 25
Excellent
11.4%
Tragic
15.6%
Age | 16 to 19 years
Average
17.5%
Tragic
22.5%
Age | 20 to 24 years
Exceptional
10.0%
Tragic
13.1%
Age | 25 to 29 years
Excellent
6.4%
Tragic
8.8%
Age | 30 to 34 years
Good
5.4%
Tragic
9.8%
Age | 35 to 44 years
Good
4.6%
Tragic
5.6%
Age | 45 to 54 years
Average
4.5%
Tragic
5.7%
Age | 55 to 59 years
Average
4.8%
Tragic
8.9%
Age | 60 to 64 years
Average
4.9%
Tragic
6.0%
Age | 65 to 74 years
Exceptional
5.2%
Tragic
6.6%
Seniors > 65
Exceptional
5.0%
Tragic
6.7%
Seniors > 75
Exceptional
7.7%
Tragic
18.4%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
6.6%
Women w/ Children 6 to 17
Good
8.9%
Tragic
9.9%
Women w/ Children < 18
Average
5.5%
Tragic
8.1%

Immigrants from Hungary vs Yakama Labor Participation

When considering labor participation, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in in labor force | age 30-34 (85.1% compared to 79.1%, a difference of 7.6%), in labor force | age 35-44 (84.4% compared to 79.0%, a difference of 6.9%), and in labor force | age 25-29 (84.8% compared to 80.6%, a difference of 5.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.9% compared to 75.1%, a difference of 0.24%), in labor force | age 16-19 (36.2% compared to 36.9%, a difference of 2.1%), and in labor force | age 45-54 (82.7% compared to 80.6%, a difference of 2.6%).
Immigrants from Hungary vs Yakama Labor Participation
Labor Participation MetricImmigrants from HungaryYakama
In Labor Force | Age > 16
Tragic
64.5%
Tragic
62.1%
In Labor Force | Age 20-64
Fair
79.5%
Tragic
75.8%
In Labor Force | Age 16-19
Fair
36.2%
Good
36.9%
In Labor Force | Age 20-24
Fair
74.9%
Average
75.1%
In Labor Force | Age 25-29
Good
84.8%
Tragic
80.6%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
79.1%
In Labor Force | Age 35-44
Average
84.4%
Tragic
79.0%
In Labor Force | Age 45-54
Fair
82.7%
Tragic
80.6%

Immigrants from Hungary vs Yakama Family Structure

When considering family structure, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in single father households (2.1% compared to 4.2%, a difference of 99.5%), single mother households (5.7% compared to 8.4%, a difference of 48.6%), and births to unmarried women (29.7% compared to 40.3%, a difference of 35.7%). Conversely, both communities are more comparable in terms of divorced or separated (11.9% compared to 12.3%, a difference of 3.1%), married-couple households (47.3% compared to 45.2%, a difference of 4.6%), and currently married (47.6% compared to 44.0%, a difference of 8.3%).
Immigrants from Hungary vs Yakama Family Structure
Family Structure MetricImmigrants from HungaryYakama
Family Households
Tragic
63.6%
Exceptional
69.3%
Family Households with Children
Tragic
26.7%
Exceptional
30.8%
Married-couple Households
Excellent
47.3%
Tragic
45.2%
Average Family Size
Tragic
3.17
Exceptional
3.45
Single Father Households
Exceptional
2.1%
Tragic
4.2%
Single Mother Households
Exceptional
5.7%
Tragic
8.4%
Currently Married
Exceptional
47.6%
Tragic
44.0%
Divorced or Separated
Good
11.9%
Tragic
12.3%
Births to Unmarried Women
Exceptional
29.7%
Tragic
40.3%

Immigrants from Hungary vs Yakama Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 12.9%, a difference of 121.5%), 3 or more vehicles in household (18.5% compared to 31.0%, a difference of 67.9%), and no vehicles in household (11.1% compared to 6.6%, a difference of 67.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 93.6%, a difference of 5.1%), 2 or more vehicles in household (54.2% compared to 64.9%, a difference of 19.7%), and no vehicles in household (11.1% compared to 6.6%, a difference of 67.8%).
Immigrants from Hungary vs Yakama Vehicle Availability
Vehicle Availability MetricImmigrants from HungaryYakama
No Vehicles Available
Poor
11.1%
Exceptional
6.6%
1+ Vehicles Available
Poor
89.0%
Exceptional
93.6%
2+ Vehicles Available
Poor
54.2%
Exceptional
64.9%
3+ Vehicles Available
Tragic
18.5%
Exceptional
31.0%
4+ Vehicles Available
Tragic
5.8%
Exceptional
12.9%

Immigrants from Hungary vs Yakama Education Level

When considering education level, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in master's degree (17.5% compared to 9.5%, a difference of 85.4%), no schooling completed (1.9% compared to 3.6%, a difference of 84.7%), and professional degree (5.5% compared to 3.1%, a difference of 77.2%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 96.6%, a difference of 1.5%), kindergarten (98.1% compared to 96.6%, a difference of 1.5%), and 1st grade (98.1% compared to 96.5%, a difference of 1.6%).
Immigrants from Hungary vs Yakama Education Level
Education Level MetricImmigrants from HungaryYakama
No Schooling Completed
Exceptional
1.9%
Tragic
3.6%
Nursery School
Excellent
98.1%
Tragic
96.6%
Kindergarten
Excellent
98.1%
Tragic
96.6%
1st Grade
Excellent
98.1%
Tragic
96.5%
2nd Grade
Excellent
98.0%
Tragic
96.4%
3rd Grade
Excellent
97.9%
Tragic
95.9%
4th Grade
Excellent
97.7%
Tragic
95.2%
5th Grade
Exceptional
97.6%
Tragic
94.8%
6th Grade
Excellent
97.3%
Tragic
94.3%
7th Grade
Exceptional
96.4%
Tragic
91.7%
8th Grade
Exceptional
96.1%
Tragic
91.2%
9th Grade
Exceptional
95.4%
Tragic
90.1%
10th Grade
Exceptional
94.4%
Tragic
86.9%
11th Grade
Exceptional
93.4%
Tragic
85.0%
12th Grade, No Diploma
Exceptional
92.1%
Tragic
82.5%
High School Diploma
Exceptional
90.2%
Tragic
80.0%
GED/Equivalency
Exceptional
87.2%
Tragic
74.5%
College, Under 1 year
Exceptional
68.3%
Tragic
52.6%
College, 1 year or more
Exceptional
62.7%
Tragic
46.2%
Associate's Degree
Exceptional
50.2%
Tragic
32.3%
Bachelor's Degree
Exceptional
42.3%
Tragic
24.5%
Master's Degree
Exceptional
17.5%
Tragic
9.5%
Professional Degree
Exceptional
5.5%
Tragic
3.1%
Doctorate Degree
Exceptional
2.2%
Tragic
1.3%

Immigrants from Hungary vs Yakama Disability

When considering disability, the most significant differences between Immigrants from Hungary and Yakama communities in the United States are seen in disability age 18 to 34 (6.5% compared to 9.0%, a difference of 38.0%), disability age under 5 (1.4% compared to 1.00%, a difference of 37.1%), and disability age 65 to 74 (21.7% compared to 29.6%, a difference of 36.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 18.1%, a difference of 8.6%), female disability (11.9% compared to 13.2%, a difference of 11.2%), and disability age over 75 (46.1% compared to 51.3%, a difference of 11.3%).
Immigrants from Hungary vs Yakama Disability
Disability MetricImmigrants from HungaryYakama
Disability
Good
11.5%
Tragic
13.4%
Males
Good
11.1%
Tragic
13.5%
Females
Exceptional
11.9%
Tragic
13.2%
Age | Under 5 years
Tragic
1.4%
Exceptional
1.00%
Age | 5 to 17 years
Excellent
5.5%
Tragic
6.3%
Age | 18 to 34 years
Good
6.5%
Tragic
9.0%
Age | 35 to 64 years
Exceptional
10.4%
Tragic
13.6%
Age | 65 to 74 years
Exceptional
21.7%
Tragic
29.6%
Age | Over 75 years
Exceptional
46.1%
Tragic
51.3%
Vision
Excellent
2.1%
Tragic
2.5%
Hearing
Poor
3.1%
Tragic
3.9%
Cognitive
Exceptional
16.7%
Tragic
18.1%
Ambulatory
Excellent
6.0%
Tragic
6.8%
Self-Care
Excellent
2.4%
Tragic
2.7%