Immigrants from Eastern Europe vs Hmong Community Comparison

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Immigrants from Eastern Europe
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 AsiaEcuadorEgyptEl 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

Immigrants from Eastern Europe

Hmong

Good
Average
8,214
SOCIAL INDEX
79.6/ 100
SOCIAL RATING
82nd/ 347
SOCIAL RANK
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK

Hmong Integration in Immigrants from Eastern Europe Communities

The statistical analysis conducted on geographies consisting of 24,557,932 people shows a very strong positive correlation between the proportion of Hmong within Immigrant from Eastern Europe communities in the United States with a correlation coefficient (R) of 0.871. On average, for every 1% (one percent) increase in Immigrants from Eastern Europe within a typical geography, there is an increase of 0.011% in Hmong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Europe corresponds to an increase of 11.0 Hmong.
Immigrants from Eastern Europe Integration in Hmong Communities

Immigrants from Eastern Europe vs Hmong Income

When considering income, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in per capita income ($49,316 compared to $38,120, a difference of 29.4%), median male earnings ($60,958 compared to $48,254, a difference of 26.3%), and householder income ages 25 - 44 years ($104,662 compared to $84,258, a difference of 24.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 27.7%, a difference of 5.0%), householder income over 65 years ($62,693 compared to $56,339, a difference of 11.3%), and householder income under 25 years ($55,572 compared to $49,364, a difference of 12.6%).
Immigrants from Eastern Europe vs Hmong Income
Income MetricImmigrants from Eastern EuropeHmong
Per Capita Income
Exceptional
$49,316
Tragic
$38,120
Median Family Income
Exceptional
$112,527
Tragic
$91,296
Median Household Income
Exceptional
$93,051
Tragic
$75,839
Median Earnings
Exceptional
$51,624
Tragic
$42,111
Median Male Earnings
Exceptional
$60,958
Tragic
$48,254
Median Female Earnings
Exceptional
$43,309
Tragic
$35,498
Householder Age | Under 25 years
Exceptional
$55,572
Tragic
$49,364
Householder Age | 25 - 44 years
Exceptional
$104,662
Tragic
$84,258
Householder Age | 45 - 64 years
Exceptional
$109,335
Tragic
$88,115
Householder Age | Over 65 years
Excellent
$62,693
Tragic
$56,339
Wage/Income Gap
Poor
26.4%
Tragic
27.7%

Immigrants from Eastern Europe vs Hmong Poverty

When considering poverty, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in child poverty under the age of 5 (15.1% compared to 18.5%, a difference of 22.6%), single female poverty (19.0% compared to 23.1%, a difference of 21.2%), and single male poverty (11.8% compared to 14.2%, a difference of 19.8%). Conversely, both communities are more comparable in terms of single father poverty (15.8% compared to 15.9%, a difference of 0.21%), receiving food stamps (10.8% compared to 10.9%, a difference of 0.56%), and married-couple family poverty (4.9% compared to 5.0%, a difference of 2.0%).
Immigrants from Eastern Europe vs Hmong Poverty
Poverty MetricImmigrants from Eastern EuropeHmong
Poverty
Exceptional
11.3%
Poor
12.8%
Families
Exceptional
8.1%
Average
9.1%
Males
Exceptional
10.2%
Poor
11.6%
Females
Exceptional
12.3%
Fair
13.9%
Females 18 to 24 years
Exceptional
18.2%
Average
20.0%
Females 25 to 34 years
Exceptional
12.0%
Fair
13.9%
Children Under 5 years
Exceptional
15.1%
Tragic
18.5%
Children Under 16 years
Exceptional
14.4%
Poor
17.1%
Boys Under 16 years
Exceptional
14.7%
Fair
16.6%
Girls Under 16 years
Exceptional
14.6%
Poor
17.5%
Single Males
Exceptional
11.8%
Tragic
14.2%
Single Females
Exceptional
19.0%
Tragic
23.1%
Single Fathers
Exceptional
15.8%
Exceptional
15.9%
Single Mothers
Exceptional
27.2%
Tragic
31.2%
Married Couples
Exceptional
4.9%
Excellent
5.0%
Seniors Over 65 years
Average
10.9%
Exceptional
10.4%
Seniors Over 75 years
Poor
12.6%
Good
12.0%
Receiving Food Stamps
Excellent
10.8%
Excellent
10.9%

Immigrants from Eastern Europe vs Hmong Unemployment

When considering unemployment, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in unemployment among seniors over 75 years (8.8% compared to 13.7%, a difference of 55.7%), unemployment among ages 65 to 74 years (5.3% compared to 4.2%, a difference of 26.5%), and unemployment among ages 60 to 64 years (4.9% compared to 4.0%, a difference of 22.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.5% compared to 8.7%, a difference of 2.1%), male unemployment (5.3% compared to 5.5%, a difference of 4.0%), and unemployment (5.2% compared to 5.0%, a difference of 4.2%).
Immigrants from Eastern Europe vs Hmong Unemployment
Unemployment MetricImmigrants from Eastern EuropeHmong
Unemployment
Good
5.2%
Exceptional
5.0%
Males
Average
5.3%
Tragic
5.5%
Females
Excellent
5.1%
Exceptional
4.4%
Youth < 25
Fair
11.7%
Exceptional
10.8%
Age | 16 to 19 years
Fair
17.8%
Exceptional
16.3%
Age | 20 to 24 years
Fair
10.4%
Exceptional
9.4%
Age | 25 to 29 years
Exceptional
6.4%
Exceptional
5.7%
Age | 30 to 34 years
Good
5.3%
Exceptional
4.9%
Age | 35 to 44 years
Good
4.6%
Tragic
5.0%
Age | 45 to 54 years
Good
4.5%
Exceptional
3.7%
Age | 55 to 59 years
Average
4.8%
Tragic
5.7%
Age | 60 to 64 years
Fair
4.9%
Exceptional
4.0%
Age | 65 to 74 years
Good
5.3%
Exceptional
4.2%
Seniors > 65
Average
5.1%
Exceptional
4.2%
Seniors > 75
Fair
8.8%
Tragic
13.7%
Women w/ Children < 6
Exceptional
7.1%
Exceptional
6.7%
Women w/ Children 6 to 17
Exceptional
8.5%
Exceptional
8.7%
Women w/ Children < 18
Excellent
5.2%
Exceptional
4.5%

Immigrants from Eastern Europe vs Hmong Labor Participation

When considering labor participation, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in in labor force | age 16-19 (35.8% compared to 38.7%, a difference of 8.3%), in labor force | age 30-34 (85.4% compared to 82.4%, a difference of 3.6%), and in labor force | age 20-64 (80.2% compared to 77.9%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 83.7%, a difference of 1.8%), in labor force | age 45-54 (83.3% compared to 81.7%, a difference of 2.0%), and in labor force | age > 16 (65.4% compared to 64.1%, a difference of 2.0%).
Immigrants from Eastern Europe vs Hmong Labor Participation
Labor Participation MetricImmigrants from Eastern EuropeHmong
In Labor Force | Age > 16
Good
65.4%
Tragic
64.1%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
77.9%
In Labor Force | Age 16-19
Poor
35.8%
Exceptional
38.7%
In Labor Force | Age 20-24
Fair
74.9%
Exceptional
76.5%
In Labor Force | Age 25-29
Exceptional
85.2%
Tragic
83.7%
In Labor Force | Age 30-34
Exceptional
85.4%
Tragic
82.4%
In Labor Force | Age 35-44
Exceptional
84.9%
Tragic
82.6%
In Labor Force | Age 45-54
Exceptional
83.3%
Tragic
81.7%

Immigrants from Eastern Europe vs Hmong Family Structure

When considering family structure, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in single father households (2.0% compared to 2.4%, a difference of 18.9%), single mother households (5.6% compared to 6.4%, a difference of 14.1%), and divorced or separated (11.5% compared to 12.3%, a difference of 7.4%). Conversely, both communities are more comparable in terms of births to unmarried women (27.6% compared to 27.7%, a difference of 0.63%), married-couple households (47.4% compared to 47.0%, a difference of 0.99%), and average family size (3.17 compared to 3.21, a difference of 1.2%).
Immigrants from Eastern Europe vs Hmong Family Structure
Family Structure MetricImmigrants from Eastern EuropeHmong
Family Households
Poor
64.0%
Exceptional
64.9%
Family Households with Children
Tragic
26.9%
Exceptional
28.6%
Married-couple Households
Exceptional
47.4%
Good
47.0%
Average Family Size
Tragic
3.17
Fair
3.21
Single Father Households
Exceptional
2.0%
Fair
2.4%
Single Mother Households
Exceptional
5.6%
Fair
6.4%
Currently Married
Exceptional
48.0%
Good
47.1%
Divorced or Separated
Exceptional
11.5%
Tragic
12.3%
Births to Unmarried Women
Exceptional
27.6%
Exceptional
27.7%

Immigrants from Eastern Europe vs Hmong Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in no vehicles in household (13.6% compared to 10.4%, a difference of 31.1%), 4 or more vehicles in household (5.4% compared to 7.0%, a difference of 28.4%), and 3 or more vehicles in household (17.4% compared to 21.0%, a difference of 20.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.7% compared to 89.6%, a difference of 3.3%), 2 or more vehicles in household (51.7% compared to 57.8%, a difference of 11.8%), and 3 or more vehicles in household (17.4% compared to 21.0%, a difference of 20.6%).
Immigrants from Eastern Europe vs Hmong Vehicle Availability
Vehicle Availability MetricImmigrants from Eastern EuropeHmong
No Vehicles Available
Tragic
13.6%
Average
10.4%
1+ Vehicles Available
Tragic
86.7%
Average
89.6%
2+ Vehicles Available
Tragic
51.7%
Exceptional
57.8%
3+ Vehicles Available
Tragic
17.4%
Exceptional
21.0%
4+ Vehicles Available
Tragic
5.4%
Exceptional
7.0%

Immigrants from Eastern Europe vs Hmong Education Level

When considering education level, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in professional degree (5.2% compared to 3.7%, a difference of 40.0%), doctorate degree (2.1% compared to 1.6%, a difference of 34.4%), and master's degree (17.6% compared to 13.4%, a difference of 31.2%). Conversely, both communities are more comparable in terms of 9th grade (95.2% compared to 95.2%, a difference of 0.030%), nursery school (98.0% compared to 98.1%, a difference of 0.060%), and kindergarten (98.0% compared to 98.1%, a difference of 0.070%).
Immigrants from Eastern Europe vs Hmong Education Level
Education Level MetricImmigrants from Eastern EuropeHmong
No Schooling Completed
Good
2.0%
Excellent
1.9%
Nursery School
Average
98.0%
Good
98.1%
Kindergarten
Average
98.0%
Good
98.1%
1st Grade
Average
97.9%
Good
98.0%
2nd Grade
Good
97.9%
Good
98.0%
3rd Grade
Good
97.8%
Excellent
97.9%
4th Grade
Good
97.6%
Excellent
97.7%
5th Grade
Good
97.4%
Exceptional
97.6%
6th Grade
Good
97.2%
Exceptional
97.4%
7th Grade
Excellent
96.3%
Exceptional
96.4%
8th Grade
Excellent
96.0%
Excellent
96.1%
9th Grade
Excellent
95.2%
Excellent
95.2%
10th Grade
Exceptional
94.3%
Excellent
94.1%
11th Grade
Exceptional
93.2%
Good
92.8%
12th Grade, No Diploma
Exceptional
92.1%
Average
91.3%
High School Diploma
Exceptional
90.1%
Average
89.1%
GED/Equivalency
Exceptional
87.1%
Poor
84.9%
College, Under 1 year
Exceptional
67.9%
Tragic
63.5%
College, 1 year or more
Exceptional
62.4%
Tragic
57.2%
Associate's Degree
Exceptional
50.5%
Tragic
43.4%
Bachelor's Degree
Exceptional
42.5%
Tragic
34.8%
Master's Degree
Exceptional
17.6%
Tragic
13.4%
Professional Degree
Exceptional
5.2%
Tragic
3.7%
Doctorate Degree
Exceptional
2.1%
Tragic
1.6%

Immigrants from Eastern Europe vs Hmong Disability

When considering disability, the most significant differences between Immigrants from Eastern Europe and Hmong communities in the United States are seen in disability age 18 to 34 (6.2% compared to 8.1%, a difference of 30.7%), disability age 35 to 64 (10.1% compared to 13.1%, a difference of 30.5%), and disability age 5 to 17 (5.1% compared to 6.3%, a difference of 23.3%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.4%, a difference of 3.8%), disability age over 75 (46.3% compared to 48.2%, a difference of 4.0%), and disability age under 5 (1.2% compared to 1.1%, a difference of 4.9%).
Immigrants from Eastern Europe vs Hmong Disability
Disability MetricImmigrants from Eastern EuropeHmong
Disability
Exceptional
11.3%
Tragic
12.8%
Males
Exceptional
10.7%
Tragic
12.5%
Females
Exceptional
11.8%
Tragic
13.1%
Age | Under 5 years
Excellent
1.2%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.1%
Tragic
6.3%
Age | 18 to 34 years
Exceptional
6.2%
Tragic
8.1%
Age | 35 to 64 years
Exceptional
10.1%
Tragic
13.1%
Age | 65 to 74 years
Exceptional
21.8%
Tragic
25.7%
Age | Over 75 years
Exceptional
46.3%
Tragic
48.2%
Vision
Exceptional
2.0%
Tragic
2.3%
Hearing
Average
3.0%
Tragic
3.4%
Cognitive
Exceptional
16.5%
Tragic
18.4%
Ambulatory
Excellent
6.0%
Tragic
6.6%
Self-Care
Fair
2.5%
Excellent
2.4%