Hmong vs Lithuanian Community Comparison

COMPARE

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)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican 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
Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican 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 TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'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

Hmong

Lithuanians

Average
Excellent
4,737
SOCIAL INDEX
44.9/ 100
SOCIAL RATING
196th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Hmong Communities

The statistical analysis conducted on geographies consisting of 24,373,493 people shows a poor negative correlation between the proportion of Lithuanians within Hmong communities in the United States with a correlation coefficient (R) of -0.191. On average, for every 1% (one percent) increase in Hmong within a typical geography, there is a decrease of 0.081% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hmong corresponds to a decrease of 81.4 Lithuanians.
Hmong Integration in Lithuanian Communities

Hmong vs Lithuanian Income

When considering income, the most significant differences between Hmong and Lithuanian communities in the United States are seen in per capita income ($38,120 compared to $49,448, a difference of 29.7%), householder income ages 45 - 64 years ($88,115 compared to $112,484, a difference of 27.7%), and median male earnings ($48,254 compared to $61,228, a difference of 26.9%). Conversely, both communities are more comparable in terms of wage/income gap (27.7% compared to 28.7%, a difference of 3.8%), householder income under 25 years ($49,364 compared to $53,552, a difference of 8.5%), and householder income over 65 years ($56,339 compared to $65,209, a difference of 15.7%).
Hmong vs Lithuanian Income
Income MetricHmongLithuanian
Per Capita Income
Tragic
$38,120
Exceptional
$49,448
Median Family Income
Tragic
$91,296
Exceptional
$115,395
Median Household Income
Tragic
$75,839
Exceptional
$93,852
Median Earnings
Tragic
$42,111
Exceptional
$50,991
Median Male Earnings
Tragic
$48,254
Exceptional
$61,228
Median Female Earnings
Tragic
$35,498
Exceptional
$42,108
Householder Age | Under 25 years
Tragic
$49,364
Exceptional
$53,552
Householder Age | 25 - 44 years
Tragic
$84,258
Exceptional
$105,223
Householder Age | 45 - 64 years
Tragic
$88,115
Exceptional
$112,484
Householder Age | Over 65 years
Tragic
$56,339
Exceptional
$65,209
Wage/Income Gap
Tragic
27.7%
Tragic
28.7%

Hmong vs Lithuanian Poverty

When considering poverty, the most significant differences between Hmong and Lithuanian communities in the United States are seen in family poverty (9.1% compared to 7.2%, a difference of 27.0%), child poverty under the age of 16 (17.1% compared to 13.5%, a difference of 26.3%), and child poverty among girls under 16 (17.5% compared to 13.9%, a difference of 26.1%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.0% compared to 18.7%, a difference of 7.2%), single father poverty (15.9% compared to 17.3%, a difference of 8.9%), and single male poverty (14.2% compared to 13.0%, a difference of 9.1%).
Hmong vs Lithuanian Poverty
Poverty MetricHmongLithuanian
Poverty
Poor
12.8%
Exceptional
10.5%
Families
Average
9.1%
Exceptional
7.2%
Males
Poor
11.6%
Exceptional
9.5%
Females
Fair
13.9%
Exceptional
11.4%
Females 18 to 24 years
Average
20.0%
Exceptional
18.7%
Females 25 to 34 years
Fair
13.9%
Exceptional
12.2%
Children Under 5 years
Tragic
18.5%
Exceptional
15.2%
Children Under 16 years
Poor
17.1%
Exceptional
13.5%
Boys Under 16 years
Fair
16.6%
Exceptional
14.0%
Girls Under 16 years
Poor
17.5%
Exceptional
13.9%
Single Males
Tragic
14.2%
Fair
13.0%
Single Females
Tragic
23.1%
Exceptional
19.2%
Single Fathers
Exceptional
15.9%
Tragic
17.3%
Single Mothers
Tragic
31.2%
Exceptional
27.4%
Married Couples
Excellent
5.0%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
10.4%
Exceptional
9.1%
Seniors Over 75 years
Good
12.0%
Exceptional
10.6%
Receiving Food Stamps
Excellent
10.9%
Exceptional
9.7%

Hmong vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Hmong and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (13.7% compared to 9.9%, a difference of 38.9%), unemployment among ages 65 to 74 years (4.2% compared to 5.4%, a difference of 28.3%), and unemployment among seniors over 65 years (4.2% compared to 5.1%, a difference of 21.2%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.3% compared to 16.7%, a difference of 2.8%), unemployment (5.0% compared to 4.8%, a difference of 3.4%), and unemployment among youth under 25 years (10.8% compared to 11.3%, a difference of 3.9%).
Hmong vs Lithuanian Unemployment
Unemployment MetricHmongLithuanian
Unemployment
Exceptional
5.0%
Exceptional
4.8%
Males
Tragic
5.5%
Exceptional
5.0%
Females
Exceptional
4.4%
Exceptional
4.7%
Youth < 25
Exceptional
10.8%
Exceptional
11.3%
Age | 16 to 19 years
Exceptional
16.3%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
9.4%
Good
10.2%
Age | 25 to 29 years
Exceptional
5.7%
Good
6.5%
Age | 30 to 34 years
Exceptional
4.9%
Good
5.4%
Age | 35 to 44 years
Tragic
5.0%
Exceptional
4.4%
Age | 45 to 54 years
Exceptional
3.7%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.7%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.0%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
4.2%
Fair
5.4%
Seniors > 65
Exceptional
4.2%
Average
5.1%
Seniors > 75
Tragic
13.7%
Tragic
9.9%
Women w/ Children < 6
Exceptional
6.7%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.7%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.5%
Exceptional
5.0%

Hmong vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Hmong and Lithuanian communities in the United States are seen in in labor force | age 16-19 (38.7% compared to 40.4%, a difference of 4.4%), in labor force | age 30-34 (82.4% compared to 85.6%, a difference of 3.8%), and in labor force | age 35-44 (82.6% compared to 85.2%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.5% compared to 77.0%, a difference of 0.56%), in labor force | age > 16 (64.1% compared to 64.8%, a difference of 1.2%), and in labor force | age 45-54 (81.7% compared to 83.6%, a difference of 2.3%).
Hmong vs Lithuanian Labor Participation
Labor Participation MetricHmongLithuanian
In Labor Force | Age > 16
Tragic
64.1%
Poor
64.8%
In Labor Force | Age 20-64
Tragic
77.9%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
38.7%
Exceptional
40.4%
In Labor Force | Age 20-24
Exceptional
76.5%
Exceptional
77.0%
In Labor Force | Age 25-29
Tragic
83.7%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
82.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
82.6%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
81.7%
Exceptional
83.6%

Hmong vs Lithuanian Family Structure

When considering family structure, the most significant differences between Hmong and Lithuanian communities in the United States are seen in single mother households (6.4% compared to 5.4%, a difference of 17.4%), single father households (2.4% compared to 2.1%, a difference of 12.2%), and family households with children (28.6% compared to 26.6%, a difference of 7.6%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.0%, a difference of 1.3%), average family size (3.21 compared to 3.10, a difference of 3.4%), and married-couple households (47.0% compared to 48.9%, a difference of 4.1%).
Hmong vs Lithuanian Family Structure
Family Structure MetricHmongLithuanian
Family Households
Exceptional
64.9%
Fair
64.0%
Family Households with Children
Exceptional
28.6%
Tragic
26.6%
Married-couple Households
Good
47.0%
Exceptional
48.9%
Average Family Size
Fair
3.21
Tragic
3.10
Single Father Households
Fair
2.4%
Exceptional
2.1%
Single Mother Households
Fair
6.4%
Exceptional
5.4%
Currently Married
Good
47.1%
Exceptional
49.0%
Divorced or Separated
Tragic
12.3%
Exceptional
11.7%
Births to Unmarried Women
Exceptional
27.7%
Exceptional
29.6%

Hmong vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Hmong and Lithuanian communities in the United States are seen in no vehicles in household (10.4% compared to 8.4%, a difference of 22.9%), 4 or more vehicles in household (7.0% compared to 6.3%, a difference of 10.3%), and 3 or more vehicles in household (21.0% compared to 20.1%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 58.2%, a difference of 0.73%), 1 or more vehicles in household (89.6% compared to 91.7%, a difference of 2.3%), and 3 or more vehicles in household (21.0% compared to 20.1%, a difference of 4.3%).
Hmong vs Lithuanian Vehicle Availability
Vehicle Availability MetricHmongLithuanian
No Vehicles Available
Average
10.4%
Exceptional
8.4%
1+ Vehicles Available
Average
89.6%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
57.8%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
21.0%
Excellent
20.1%
4+ Vehicles Available
Exceptional
7.0%
Average
6.3%

Hmong vs Lithuanian Education Level

When considering education level, the most significant differences between Hmong and Lithuanian communities in the United States are seen in doctorate degree (1.6% compared to 2.3%, a difference of 43.8%), professional degree (3.7% compared to 5.4%, a difference of 43.7%), and no schooling completed (1.9% compared to 1.4%, a difference of 35.5%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.6%, a difference of 0.57%), kindergarten (98.1% compared to 98.6%, a difference of 0.57%), and 1st grade (98.0% compared to 98.6%, a difference of 0.57%).
Hmong vs Lithuanian Education Level
Education Level MetricHmongLithuanian
No Schooling Completed
Excellent
1.9%
Exceptional
1.4%
Nursery School
Good
98.1%
Exceptional
98.6%
Kindergarten
Good
98.1%
Exceptional
98.6%
1st Grade
Good
98.0%
Exceptional
98.6%
2nd Grade
Good
98.0%
Exceptional
98.5%
3rd Grade
Excellent
97.9%
Exceptional
98.5%
4th Grade
Excellent
97.7%
Exceptional
98.3%
5th Grade
Exceptional
97.6%
Exceptional
98.2%
6th Grade
Exceptional
97.4%
Exceptional
98.1%
7th Grade
Exceptional
96.4%
Exceptional
97.5%
8th Grade
Excellent
96.1%
Exceptional
97.3%
9th Grade
Excellent
95.2%
Exceptional
96.6%
10th Grade
Excellent
94.1%
Exceptional
95.8%
11th Grade
Good
92.8%
Exceptional
94.8%
12th Grade, No Diploma
Average
91.3%
Exceptional
93.6%
High School Diploma
Average
89.1%
Exceptional
92.0%
GED/Equivalency
Poor
84.9%
Exceptional
88.9%
College, Under 1 year
Tragic
63.5%
Exceptional
68.8%
College, 1 year or more
Tragic
57.2%
Exceptional
62.9%
Associate's Degree
Tragic
43.4%
Exceptional
50.6%
Bachelor's Degree
Tragic
34.8%
Exceptional
42.2%
Master's Degree
Tragic
13.4%
Exceptional
17.7%
Professional Degree
Tragic
3.7%
Exceptional
5.4%
Doctorate Degree
Tragic
1.6%
Exceptional
2.3%

Hmong vs Lithuanian Disability

When considering disability, the most significant differences between Hmong and Lithuanian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 38.1%), disability age 35 to 64 (13.1% compared to 10.8%, a difference of 21.6%), and disability age 65 to 74 (25.7% compared to 21.4%, a difference of 20.0%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 2.1%), hearing disability (3.4% compared to 3.4%, a difference of 2.4%), and disability age over 75 (48.2% compared to 45.1%, a difference of 6.9%).
Hmong vs Lithuanian Disability
Disability MetricHmongLithuanian
Disability
Tragic
12.8%
Poor
11.9%
Males
Tragic
12.5%
Tragic
11.6%
Females
Tragic
13.1%
Average
12.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.6%
Age | 5 to 17 years
Tragic
6.3%
Tragic
5.8%
Age | 18 to 34 years
Tragic
8.1%
Tragic
7.0%
Age | 35 to 64 years
Tragic
13.1%
Excellent
10.8%
Age | 65 to 74 years
Tragic
25.7%
Exceptional
21.4%
Age | Over 75 years
Tragic
48.2%
Exceptional
45.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Tragic
3.4%
Tragic
3.4%
Cognitive
Tragic
18.4%
Exceptional
16.3%
Ambulatory
Tragic
6.6%
Excellent
6.0%
Self-Care
Excellent
2.4%
Exceptional
2.4%