Immigrants from Lithuania vs Hmong Community Comparison

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Immigrants from Lithuania
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 KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle 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 Lithuania

Hmong

Exceptional
Average
9,656
SOCIAL INDEX
94.0/ 100
SOCIAL RATING
10th/ 347
SOCIAL RANK
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK

Hmong Integration in Immigrants from Lithuania Communities

The statistical analysis conducted on geographies consisting of 20,667,914 people shows a perfect positive correlation between the proportion of Hmong within Immigrant from Lithuania communities in the United States with a correlation coefficient (R) of 1.000. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is an increase of 0.400% in Hmong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Lithuania corresponds to an increase of 400.0 Hmong.
Immigrants from Lithuania Integration in Hmong Communities

Immigrants from Lithuania vs Hmong Income

When considering income, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in per capita income ($51,361 compared to $38,120, a difference of 34.7%), median male earnings ($63,346 compared to $48,254, a difference of 31.3%), and householder income ages 45 - 64 years ($114,336 compared to $88,115, a difference of 29.8%). Conversely, both communities are more comparable in terms of wage/income gap (28.6% compared to 27.7%, a difference of 3.3%), householder income under 25 years ($55,028 compared to $49,364, a difference of 11.5%), and householder income over 65 years ($66,087 compared to $56,339, a difference of 17.3%).
Immigrants from Lithuania vs Hmong Income
Income MetricImmigrants from LithuaniaHmong
Per Capita Income
Exceptional
$51,361
Tragic
$38,120
Median Family Income
Exceptional
$118,053
Tragic
$91,296
Median Household Income
Exceptional
$96,836
Tragic
$75,839
Median Earnings
Exceptional
$52,769
Tragic
$42,111
Median Male Earnings
Exceptional
$63,346
Tragic
$48,254
Median Female Earnings
Exceptional
$43,317
Tragic
$35,498
Householder Age | Under 25 years
Exceptional
$55,028
Tragic
$49,364
Householder Age | 25 - 44 years
Exceptional
$108,149
Tragic
$84,258
Householder Age | 45 - 64 years
Exceptional
$114,336
Tragic
$88,115
Householder Age | Over 65 years
Exceptional
$66,087
Tragic
$56,339
Wage/Income Gap
Tragic
28.6%
Tragic
27.7%

Immigrants from Lithuania vs Hmong Poverty

When considering poverty, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in child poverty among girls under 16 (13.1% compared to 17.5%, a difference of 33.1%), child poverty under the age of 16 (12.9% compared to 17.1%, a difference of 32.3%), and child poverty under the age of 5 (14.1% compared to 18.5%, a difference of 31.6%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.9%, a difference of 3.7%), seniors poverty over the age of 65 (9.7% compared to 10.4%, a difference of 7.5%), and seniors poverty over the age of 75 (11.0% compared to 12.0%, a difference of 9.0%).
Immigrants from Lithuania vs Hmong Poverty
Poverty MetricImmigrants from LithuaniaHmong
Poverty
Exceptional
10.3%
Poor
12.8%
Families
Exceptional
7.2%
Average
9.1%
Males
Exceptional
9.4%
Poor
11.6%
Females
Exceptional
11.3%
Fair
13.9%
Females 18 to 24 years
Exceptional
17.4%
Average
20.0%
Females 25 to 34 years
Exceptional
11.1%
Fair
13.9%
Children Under 5 years
Exceptional
14.1%
Tragic
18.5%
Children Under 16 years
Exceptional
12.9%
Poor
17.1%
Boys Under 16 years
Exceptional
13.5%
Fair
16.6%
Girls Under 16 years
Exceptional
13.1%
Poor
17.5%
Single Males
Exceptional
11.6%
Tragic
14.2%
Single Females
Exceptional
17.8%
Tragic
23.1%
Single Fathers
Exceptional
15.3%
Exceptional
15.9%
Single Mothers
Exceptional
25.2%
Tragic
31.2%
Married Couples
Exceptional
4.3%
Excellent
5.0%
Seniors Over 65 years
Exceptional
9.7%
Exceptional
10.4%
Seniors Over 75 years
Exceptional
11.0%
Good
12.0%
Receiving Food Stamps
Exceptional
9.2%
Excellent
10.9%

Immigrants from Lithuania vs Hmong Unemployment

When considering unemployment, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 13.7%, a difference of 57.6%), unemployment among ages 65 to 74 years (5.2% compared to 4.2%, a difference of 24.1%), and unemployment among ages 45 to 54 years (4.6% compared to 3.7%, a difference of 22.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.6% compared to 8.7%, a difference of 1.5%), unemployment (5.0% compared to 5.0%, a difference of 1.7%), and unemployment among ages 16 to 19 years (17.0% compared to 16.3%, a difference of 4.1%).
Immigrants from Lithuania vs Hmong Unemployment
Unemployment MetricImmigrants from LithuaniaHmong
Unemployment
Exceptional
5.0%
Exceptional
5.0%
Males
Excellent
5.1%
Tragic
5.5%
Females
Exceptional
4.9%
Exceptional
4.4%
Youth < 25
Exceptional
11.3%
Exceptional
10.8%
Age | 16 to 19 years
Exceptional
17.0%
Exceptional
16.3%
Age | 20 to 24 years
Excellent
10.1%
Exceptional
9.4%
Age | 25 to 29 years
Exceptional
6.2%
Exceptional
5.7%
Age | 30 to 34 years
Exceptional
5.2%
Exceptional
4.9%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
5.0%
Age | 45 to 54 years
Fair
4.6%
Exceptional
3.7%
Age | 55 to 59 years
Good
4.8%
Tragic
5.7%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.0%
Age | 65 to 74 years
Exceptional
5.2%
Exceptional
4.2%
Seniors > 65
Exceptional
5.0%
Exceptional
4.2%
Seniors > 75
Average
8.7%
Tragic
13.7%
Women w/ Children < 6
Good
7.5%
Exceptional
6.7%
Women w/ Children 6 to 17
Exceptional
8.6%
Exceptional
8.7%
Women w/ Children < 18
Exceptional
5.2%
Exceptional
4.5%

Immigrants from Lithuania vs Hmong Labor Participation

When considering labor participation, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in in labor force | age 16-19 (37.2% compared to 38.7%, a difference of 4.0%), in labor force | age 30-34 (85.6% compared to 82.4%, a difference of 3.9%), and in labor force | age 20-64 (80.7% compared to 77.9%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.1% compared to 76.5%, a difference of 0.54%), in labor force | age > 16 (65.6% compared to 64.1%, a difference of 2.4%), and in labor force | age 45-54 (83.9% compared to 81.7%, a difference of 2.6%).
Immigrants from Lithuania vs Hmong Labor Participation
Labor Participation MetricImmigrants from LithuaniaHmong
In Labor Force | Age > 16
Exceptional
65.6%
Tragic
64.1%
In Labor Force | Age 20-64
Exceptional
80.7%
Tragic
77.9%
In Labor Force | Age 16-19
Excellent
37.2%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
76.1%
Exceptional
76.5%
In Labor Force | Age 25-29
Exceptional
86.1%
Tragic
83.7%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
82.4%
In Labor Force | Age 35-44
Exceptional
85.4%
Tragic
82.6%
In Labor Force | Age 45-54
Exceptional
83.9%
Tragic
81.7%

Immigrants from Lithuania vs Hmong Family Structure

When considering family structure, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in single father households (1.9% compared to 2.4%, a difference of 25.6%), single mother households (5.3% compared to 6.4%, a difference of 21.5%), and divorced or separated (11.3% compared to 12.3%, a difference of 9.0%). Conversely, both communities are more comparable in terms of births to unmarried women (27.7% compared to 27.7%, a difference of 0.0%), family households (63.9% compared to 64.9%, a difference of 1.6%), and average family size (3.15 compared to 3.21, a difference of 1.7%).
Immigrants from Lithuania vs Hmong Family Structure
Family Structure MetricImmigrants from LithuaniaHmong
Family Households
Poor
63.9%
Exceptional
64.9%
Family Households with Children
Tragic
26.8%
Exceptional
28.6%
Married-couple Households
Exceptional
48.6%
Good
47.0%
Average Family Size
Tragic
3.15
Fair
3.21
Single Father Households
Exceptional
1.9%
Fair
2.4%
Single Mother Households
Exceptional
5.3%
Fair
6.4%
Currently Married
Exceptional
48.8%
Good
47.1%
Divorced or Separated
Exceptional
11.3%
Tragic
12.3%
Births to Unmarried Women
Exceptional
27.7%
Exceptional
27.7%

Immigrants from Lithuania vs Hmong Vehicle Availability

When considering vehicle availability, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 7.0%, a difference of 23.7%), 3 or more vehicles in household (18.5% compared to 21.0%, a difference of 13.7%), and no vehicles in household (9.8% compared to 10.4%, a difference of 5.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 89.6%, a difference of 0.68%), 2 or more vehicles in household (55.8% compared to 57.8%, a difference of 3.6%), and no vehicles in household (9.8% compared to 10.4%, a difference of 5.6%).
Immigrants from Lithuania vs Hmong Vehicle Availability
Vehicle Availability MetricImmigrants from LithuaniaHmong
No Vehicles Available
Excellent
9.8%
Average
10.4%
1+ Vehicles Available
Excellent
90.2%
Average
89.6%
2+ Vehicles Available
Good
55.8%
Exceptional
57.8%
3+ Vehicles Available
Tragic
18.5%
Exceptional
21.0%
4+ Vehicles Available
Tragic
5.6%
Exceptional
7.0%

Immigrants from Lithuania vs Hmong Education Level

When considering education level, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in professional degree (5.6% compared to 3.7%, a difference of 48.8%), doctorate degree (2.2% compared to 1.6%, a difference of 40.7%), and master's degree (18.5% compared to 13.4%, a difference of 38.0%). Conversely, both communities are more comparable in terms of 5th grade (97.8% compared to 97.6%, a difference of 0.24%), 6th grade (97.6% compared to 97.4%, a difference of 0.24%), and kindergarten (98.3% compared to 98.1%, a difference of 0.27%).
Immigrants from Lithuania vs Hmong Education Level
Education Level MetricImmigrants from LithuaniaHmong
No Schooling Completed
Exceptional
1.7%
Excellent
1.9%
Nursery School
Exceptional
98.3%
Good
98.1%
Kindergarten
Exceptional
98.3%
Good
98.1%
1st Grade
Exceptional
98.3%
Good
98.0%
2nd Grade
Exceptional
98.2%
Good
98.0%
3rd Grade
Exceptional
98.2%
Excellent
97.9%
4th Grade
Exceptional
98.0%
Excellent
97.7%
5th Grade
Exceptional
97.8%
Exceptional
97.6%
6th Grade
Exceptional
97.6%
Exceptional
97.4%
7th Grade
Exceptional
96.8%
Exceptional
96.4%
8th Grade
Exceptional
96.6%
Excellent
96.1%
9th Grade
Exceptional
95.8%
Excellent
95.2%
10th Grade
Exceptional
95.0%
Excellent
94.1%
11th Grade
Exceptional
94.1%
Good
92.8%
12th Grade, No Diploma
Exceptional
93.1%
Average
91.3%
High School Diploma
Exceptional
91.3%
Average
89.1%
GED/Equivalency
Exceptional
88.6%
Poor
84.9%
College, Under 1 year
Exceptional
70.3%
Tragic
63.5%
College, 1 year or more
Exceptional
64.6%
Tragic
57.2%
Associate's Degree
Exceptional
52.4%
Tragic
43.4%
Bachelor's Degree
Exceptional
44.6%
Tragic
34.8%
Master's Degree
Exceptional
18.5%
Tragic
13.4%
Professional Degree
Exceptional
5.6%
Tragic
3.7%
Doctorate Degree
Exceptional
2.2%
Tragic
1.6%

Immigrants from Lithuania vs Hmong Disability

When considering disability, the most significant differences between Immigrants from Lithuania and Hmong communities in the United States are seen in disability age 18 to 34 (5.8% compared to 8.1%, a difference of 39.0%), disability age 35 to 64 (9.6% compared to 13.1%, a difference of 37.1%), and disability age 65 to 74 (20.5% compared to 25.7%, a difference of 24.9%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.4%, a difference of 5.9%), disability age over 75 (44.9% compared to 48.2%, a difference of 7.4%), and disability age under 5 (1.3% compared to 1.1%, a difference of 12.1%).
Immigrants from Lithuania vs Hmong Disability
Disability MetricImmigrants from LithuaniaHmong
Disability
Exceptional
10.9%
Tragic
12.8%
Males
Exceptional
10.5%
Tragic
12.5%
Females
Exceptional
11.2%
Tragic
13.1%
Age | Under 5 years
Fair
1.3%
Exceptional
1.1%
Age | 5 to 17 years
Exceptional
5.1%
Tragic
6.3%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
8.1%
Age | 35 to 64 years
Exceptional
9.6%
Tragic
13.1%
Age | 65 to 74 years
Exceptional
20.5%
Tragic
25.7%
Age | Over 75 years
Exceptional
44.9%
Tragic
48.2%
Vision
Exceptional
1.9%
Tragic
2.3%
Hearing
Good
2.9%
Tragic
3.4%
Cognitive
Exceptional
16.0%
Tragic
18.4%
Ambulatory
Exceptional
5.6%
Tragic
6.6%
Self-Care
Exceptional
2.3%
Excellent
2.4%