Immigrants from Hungary vs Hmong Community Comparison

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Immigrants from Hungary
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIndian (Asian)IndonesianInupiatIranianIraqiIrishIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest 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 GrenadinesSudanSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabweAzores
Hmong
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

Hmong

Good
Average
8,157
SOCIAL INDEX
79.0/ 100
SOCIAL RATING
84th/ 347
SOCIAL RANK
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK

Hmong Integration in Immigrants from Hungary Communities

The statistical analysis conducted on geographies consisting of 22,579,203 people shows a very strong positive correlation between the proportion of Hmong within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.886. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.729% in Hmong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 728.8 Hmong.
Immigrants from Hungary Integration in Hmong Communities

Immigrants from Hungary vs Hmong Income

When considering income, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in per capita income ($49,303 compared to $38,120, a difference of 29.3%), median male earnings ($59,806 compared to $48,254, a difference of 23.9%), and householder income ages 45 - 64 years ($108,267 compared to $88,115, a difference of 22.9%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 27.7%, a difference of 2.5%), householder income under 25 years ($52,798 compared to $49,364, a difference of 7.0%), and householder income over 65 years ($64,277 compared to $56,339, a difference of 14.1%).
Immigrants from Hungary vs Hmong Income
Income MetricImmigrants from HungaryHmong
Per Capita Income
Exceptional
$49,303
Tragic
$38,120
Median Family Income
Exceptional
$111,378
Tragic
$91,296
Median Household Income
Exceptional
$92,094
Tragic
$75,839
Median Earnings
Exceptional
$50,227
Tragic
$42,111
Median Male Earnings
Exceptional
$59,806
Tragic
$48,254
Median Female Earnings
Exceptional
$41,820
Tragic
$35,498
Householder Age | Under 25 years
Excellent
$52,798
Tragic
$49,364
Householder Age | 25 - 44 years
Exceptional
$102,655
Tragic
$84,258
Householder Age | 45 - 64 years
Exceptional
$108,267
Tragic
$88,115
Householder Age | Over 65 years
Exceptional
$64,277
Tragic
$56,339
Wage/Income Gap
Tragic
27.0%
Tragic
27.7%

Immigrants from Hungary vs Hmong Poverty

When considering poverty, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in single female poverty (20.2% compared to 23.1%, a difference of 14.2%), child poverty under the age of 5 (16.5% compared to 18.5%, a difference of 12.6%), and single male poverty (12.6% compared to 14.2%, a difference of 12.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.4%, a difference of 0.23%), single father poverty (16.1% compared to 15.9%, a difference of 1.2%), and seniors poverty over the age of 75 (11.8% compared to 12.0%, a difference of 1.3%).
Immigrants from Hungary vs Hmong Poverty
Poverty MetricImmigrants from HungaryHmong
Poverty
Excellent
11.7%
Poor
12.8%
Families
Excellent
8.4%
Average
9.1%
Males
Excellent
10.7%
Poor
11.6%
Females
Exceptional
12.7%
Fair
13.9%
Females 18 to 24 years
Exceptional
19.3%
Average
20.0%
Females 25 to 34 years
Excellent
13.0%
Fair
13.9%
Children Under 5 years
Excellent
16.5%
Tragic
18.5%
Children Under 16 years
Excellent
15.5%
Poor
17.1%
Boys Under 16 years
Excellent
15.7%
Fair
16.6%
Girls Under 16 years
Excellent
15.8%
Poor
17.5%
Single Males
Good
12.6%
Tragic
14.2%
Single Females
Exceptional
20.2%
Tragic
23.1%
Single Fathers
Good
16.1%
Exceptional
15.9%
Single Mothers
Good
28.9%
Tragic
31.2%
Married Couples
Excellent
4.9%
Excellent
5.0%
Seniors Over 65 years
Excellent
10.4%
Exceptional
10.4%
Seniors Over 75 years
Excellent
11.8%
Good
12.0%
Receiving Food Stamps
Exceptional
10.3%
Excellent
10.9%

Immigrants from Hungary vs Hmong Unemployment

When considering unemployment, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 13.7%, a difference of 78.2%), unemployment among ages 65 to 74 years (5.2% compared to 4.2%, a difference of 23.4%), and unemployment among women with children under 18 years (5.5% compared to 4.5%, a difference of 21.8%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.9% compared to 8.7%, a difference of 2.6%), unemployment (5.1% compared to 5.0%, a difference of 3.1%), and unemployment among youth under 25 years (11.4% compared to 10.8%, a difference of 5.1%).
Immigrants from Hungary vs Hmong Unemployment
Unemployment MetricImmigrants from HungaryHmong
Unemployment
Excellent
5.1%
Exceptional
5.0%
Males
Good
5.2%
Tragic
5.5%
Females
Excellent
5.1%
Exceptional
4.4%
Youth < 25
Excellent
11.4%
Exceptional
10.8%
Age | 16 to 19 years
Average
17.5%
Exceptional
16.3%
Age | 20 to 24 years
Exceptional
10.0%
Exceptional
9.4%
Age | 25 to 29 years
Excellent
6.4%
Exceptional
5.7%
Age | 30 to 34 years
Good
5.4%
Exceptional
4.9%
Age | 35 to 44 years
Good
4.6%
Tragic
5.0%
Age | 45 to 54 years
Average
4.5%
Exceptional
3.7%
Age | 55 to 59 years
Average
4.8%
Tragic
5.7%
Age | 60 to 64 years
Average
4.9%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.2%
Seniors > 75
Exceptional
7.7%
Tragic
13.7%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
6.7%
Women w/ Children 6 to 17
Good
8.9%
Exceptional
8.7%
Women w/ Children < 18
Average
5.5%
Exceptional
4.5%

Immigrants from Hungary vs Hmong Labor Participation

When considering labor participation, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 38.7%, a difference of 7.1%), in labor force | age 30-34 (85.1% compared to 82.4%, a difference of 3.3%), and in labor force | age 35-44 (84.4% compared to 82.6%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.5% compared to 64.1%, a difference of 0.70%), in labor force | age 45-54 (82.7% compared to 81.7%, a difference of 1.2%), and in labor force | age 25-29 (84.8% compared to 83.7%, a difference of 1.3%).
Immigrants from Hungary vs Hmong Labor Participation
Labor Participation MetricImmigrants from HungaryHmong
In Labor Force | Age > 16
Tragic
64.5%
Tragic
64.1%
In Labor Force | Age 20-64
Fair
79.5%
Tragic
77.9%
In Labor Force | Age 16-19
Fair
36.2%
Exceptional
38.7%
In Labor Force | Age 20-24
Fair
74.9%
Exceptional
76.5%
In Labor Force | Age 25-29
Good
84.8%
Tragic
83.7%
In Labor Force | Age 30-34
Exceptional
85.1%
Tragic
82.4%
In Labor Force | Age 35-44
Average
84.4%
Tragic
82.6%
In Labor Force | Age 45-54
Fair
82.7%
Tragic
81.7%

Immigrants from Hungary vs Hmong Family Structure

When considering family structure, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 12.9%), single mother households (5.7% compared to 6.4%, a difference of 12.8%), and births to unmarried women (29.7% compared to 27.7%, a difference of 7.2%). Conversely, both communities are more comparable in terms of married-couple households (47.3% compared to 47.0%, a difference of 0.75%), currently married (47.6% compared to 47.1%, a difference of 1.2%), and average family size (3.17 compared to 3.21, a difference of 1.3%).
Immigrants from Hungary vs Hmong Family Structure
Family Structure MetricImmigrants from HungaryHmong
Family Households
Tragic
63.6%
Exceptional
64.9%
Family Households with Children
Tragic
26.7%
Exceptional
28.6%
Married-couple Households
Excellent
47.3%
Good
47.0%
Average Family Size
Tragic
3.17
Fair
3.21
Single Father Households
Exceptional
2.1%
Fair
2.4%
Single Mother Households
Exceptional
5.7%
Fair
6.4%
Currently Married
Exceptional
47.6%
Good
47.1%
Divorced or Separated
Good
11.9%
Tragic
12.3%
Births to Unmarried Women
Exceptional
29.7%
Exceptional
27.7%

Immigrants from Hungary vs Hmong Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 7.0%, a difference of 19.5%), 3 or more vehicles in household (18.5% compared to 21.0%, a difference of 13.7%), and no vehicles in household (11.1% compared to 10.4%, a difference of 7.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 89.6%, a difference of 0.72%), 2 or more vehicles in household (54.2% compared to 57.8%, a difference of 6.6%), and no vehicles in household (11.1% compared to 10.4%, a difference of 7.0%).
Immigrants from Hungary vs Hmong Vehicle Availability
Vehicle Availability MetricImmigrants from HungaryHmong
No Vehicles Available
Poor
11.1%
Average
10.4%
1+ Vehicles Available
Poor
89.0%
Average
89.6%
2+ Vehicles Available
Poor
54.2%
Exceptional
57.8%
3+ Vehicles Available
Tragic
18.5%
Exceptional
21.0%
4+ Vehicles Available
Tragic
5.8%
Exceptional
7.0%

Immigrants from Hungary vs Hmong Education Level

When considering education level, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in professional degree (5.5% compared to 3.7%, a difference of 45.7%), doctorate degree (2.2% compared to 1.6%, a difference of 43.0%), and master's degree (17.5% compared to 13.4%, a difference of 30.9%). Conversely, both communities are more comparable in terms of 4th grade (97.7% compared to 97.7%, a difference of 0.010%), 7th grade (96.4% compared to 96.4%, a difference of 0.020%), and 5th grade (97.6% compared to 97.6%, a difference of 0.030%).
Immigrants from Hungary vs Hmong Education Level
Education Level MetricImmigrants from HungaryHmong
No Schooling Completed
Exceptional
1.9%
Excellent
1.9%
Nursery School
Excellent
98.1%
Good
98.1%
Kindergarten
Excellent
98.1%
Good
98.1%
1st Grade
Excellent
98.1%
Good
98.0%
2nd Grade
Excellent
98.0%
Good
98.0%
3rd Grade
Excellent
97.9%
Excellent
97.9%
4th Grade
Excellent
97.7%
Excellent
97.7%
5th Grade
Exceptional
97.6%
Exceptional
97.6%
6th Grade
Excellent
97.3%
Exceptional
97.4%
7th Grade
Exceptional
96.4%
Exceptional
96.4%
8th Grade
Exceptional
96.1%
Excellent
96.1%
9th Grade
Exceptional
95.4%
Excellent
95.2%
10th Grade
Exceptional
94.4%
Excellent
94.1%
11th Grade
Exceptional
93.4%
Good
92.8%
12th Grade, No Diploma
Exceptional
92.1%
Average
91.3%
High School Diploma
Exceptional
90.2%
Average
89.1%
GED/Equivalency
Exceptional
87.2%
Poor
84.9%
College, Under 1 year
Exceptional
68.3%
Tragic
63.5%
College, 1 year or more
Exceptional
62.7%
Tragic
57.2%
Associate's Degree
Exceptional
50.2%
Tragic
43.4%
Bachelor's Degree
Exceptional
42.3%
Tragic
34.8%
Master's Degree
Exceptional
17.5%
Tragic
13.4%
Professional Degree
Exceptional
5.5%
Tragic
3.7%
Doctorate Degree
Exceptional
2.2%
Tragic
1.6%

Immigrants from Hungary vs Hmong Disability

When considering disability, the most significant differences between Immigrants from Hungary and Hmong communities in the United States are seen in disability age 35 to 64 (10.4% compared to 13.1%, a difference of 26.0%), disability age 18 to 34 (6.5% compared to 8.1%, a difference of 23.8%), and disability age under 5 (1.4% compared to 1.1%, a difference of 21.2%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 0.040%), disability age over 75 (46.1% compared to 48.2%, a difference of 4.6%), and vision disability (2.1% compared to 2.3%, a difference of 9.3%).
Immigrants from Hungary vs Hmong Disability
Disability MetricImmigrants from HungaryHmong
Disability
Good
11.5%
Tragic
12.8%
Males
Good
11.1%
Tragic
12.5%
Females
Exceptional
11.9%
Tragic
13.1%
Age | Under 5 years
Tragic
1.4%
Exceptional
1.1%
Age | 5 to 17 years
Excellent
5.5%
Tragic
6.3%
Age | 18 to 34 years
Good
6.5%
Tragic
8.1%
Age | 35 to 64 years
Exceptional
10.4%
Tragic
13.1%
Age | 65 to 74 years
Exceptional
21.7%
Tragic
25.7%
Age | Over 75 years
Exceptional
46.1%
Tragic
48.2%
Vision
Excellent
2.1%
Tragic
2.3%
Hearing
Poor
3.1%
Tragic
3.4%
Cognitive
Exceptional
16.7%
Tragic
18.4%
Ambulatory
Excellent
6.0%
Tragic
6.6%
Self-Care
Excellent
2.4%
Excellent
2.4%