Lithuanian vs Danish Community Comparison

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Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDelawareDominicanDutchDutch 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 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
Danish
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Lithuanians

Danes

Excellent
Excellent
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
8,781
SOCIAL INDEX
85.3/ 100
SOCIAL RATING
48th/ 347
SOCIAL RANK

Danish Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 384,074,237 people shows a mild positive correlation between the proportion of Danes within Lithuanian communities in the United States with a correlation coefficient (R) of 0.314. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.031% in Danes. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 30.6 Danes.
Lithuanian Integration in Danish Communities

Lithuanian vs Danish Income

When considering income, the most significant differences between Lithuanian and Danish communities in the United States are seen in per capita income ($49,448 compared to $44,095, a difference of 12.1%), median female earnings ($42,108 compared to $37,730, a difference of 11.6%), and median earnings ($50,991 compared to $46,392, a difference of 9.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,552 compared to $53,041, a difference of 0.96%), householder income over 65 years ($65,209 compared to $63,117, a difference of 3.3%), and householder income ages 45 - 64 years ($112,484 compared to $105,619, a difference of 6.5%).
Lithuanian vs Danish Income
Income MetricLithuanianDanish
Per Capita Income
Exceptional
$49,448
Good
$44,095
Median Family Income
Exceptional
$115,395
Excellent
$105,900
Median Household Income
Exceptional
$93,852
Excellent
$87,676
Median Earnings
Exceptional
$50,991
Average
$46,392
Median Male Earnings
Exceptional
$61,228
Excellent
$56,246
Median Female Earnings
Exceptional
$42,108
Tragic
$37,730
Householder Age | Under 25 years
Exceptional
$53,552
Excellent
$53,041
Householder Age | 25 - 44 years
Exceptional
$105,223
Excellent
$97,221
Householder Age | 45 - 64 years
Exceptional
$112,484
Exceptional
$105,619
Householder Age | Over 65 years
Exceptional
$65,209
Exceptional
$63,117
Wage/Income Gap
Tragic
28.7%
Tragic
31.0%

Lithuanian vs Danish Poverty

When considering poverty, the most significant differences between Lithuanian and Danish communities in the United States are seen in single father poverty (17.3% compared to 15.8%, a difference of 9.5%), single female poverty (19.2% compared to 20.7%, a difference of 7.7%), and receiving food stamps (9.7% compared to 9.0%, a difference of 7.0%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (13.5% compared to 13.4%, a difference of 0.98%), child poverty among girls under 16 (13.9% compared to 13.7%, a difference of 1.2%), and male poverty (9.5% compared to 9.7%, a difference of 1.6%).
Lithuanian vs Danish Poverty
Poverty MetricLithuanianDanish
Poverty
Exceptional
10.5%
Exceptional
10.7%
Families
Exceptional
7.2%
Exceptional
7.3%
Males
Exceptional
9.5%
Exceptional
9.7%
Females
Exceptional
11.4%
Exceptional
11.7%
Females 18 to 24 years
Exceptional
18.7%
Good
19.8%
Females 25 to 34 years
Exceptional
12.2%
Exceptional
12.8%
Children Under 5 years
Exceptional
15.2%
Exceptional
14.9%
Children Under 16 years
Exceptional
13.5%
Exceptional
13.4%
Boys Under 16 years
Exceptional
14.0%
Exceptional
13.6%
Girls Under 16 years
Exceptional
13.9%
Exceptional
13.7%
Single Males
Fair
13.0%
Average
12.8%
Single Females
Exceptional
19.2%
Good
20.7%
Single Fathers
Tragic
17.3%
Exceptional
15.8%
Single Mothers
Exceptional
27.4%
Excellent
28.5%
Married Couples
Exceptional
4.0%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
8.8%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
10.2%
Receiving Food Stamps
Exceptional
9.7%
Exceptional
9.0%

Lithuanian vs Danish Unemployment

When considering unemployment, the most significant differences between Lithuanian and Danish communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.4% compared to 8.1%, a difference of 15.9%), unemployment among women with children under 18 years (5.0% compared to 4.5%, a difference of 11.2%), and male unemployment (5.0% compared to 4.5%, a difference of 10.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.9% compared to 9.7%, a difference of 2.1%), unemployment among ages 65 to 74 years (5.4% compared to 5.2%, a difference of 3.9%), and unemployment among seniors over 65 years (5.1% compared to 4.9%, a difference of 5.0%).
Lithuanian vs Danish Unemployment
Unemployment MetricLithuanianDanish
Unemployment
Exceptional
4.8%
Exceptional
4.3%
Males
Exceptional
5.0%
Exceptional
4.5%
Females
Exceptional
4.7%
Exceptional
4.4%
Youth < 25
Exceptional
11.3%
Exceptional
10.3%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
15.2%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.3%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.0%
Age | 30 to 34 years
Good
5.4%
Exceptional
5.0%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.1%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
3.9%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.3%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.4%
Age | 65 to 74 years
Fair
5.4%
Exceptional
5.2%
Seniors > 65
Average
5.1%
Exceptional
4.9%
Seniors > 75
Tragic
9.9%
Tragic
9.7%
Women w/ Children < 6
Fair
7.8%
Exceptional
7.1%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
8.1%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
4.5%

Lithuanian vs Danish Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Danish communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 44.7%, a difference of 10.5%), in labor force | age 20-24 (77.0% compared to 79.0%, a difference of 2.6%), and in labor force | age 30-34 (85.6% compared to 84.3%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.36%), in labor force | age 20-64 (80.2% compared to 79.9%, a difference of 0.39%), and in labor force | age > 16 (64.8% compared to 65.3%, a difference of 0.66%).
Lithuanian vs Danish Labor Participation
Labor Participation MetricLithuanianDanish
In Labor Force | Age > 16
Poor
64.8%
Good
65.3%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
79.9%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
44.7%
In Labor Force | Age 20-24
Exceptional
77.0%
Exceptional
79.0%
In Labor Force | Age 25-29
Exceptional
85.8%
Good
84.8%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
84.3%
In Labor Force | Age 35-44
Exceptional
85.2%
Fair
84.3%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
83.3%

Lithuanian vs Danish Family Structure

When considering family structure, the most significant differences between Lithuanian and Danish communities in the United States are seen in single father households (2.1% compared to 2.3%, a difference of 10.9%), family households with children (26.6% compared to 28.7%, a difference of 8.2%), and married-couple households (48.9% compared to 51.1%, a difference of 4.5%). Conversely, both communities are more comparable in terms of divorced or separated (11.7% compared to 11.9%, a difference of 1.2%), single mother households (5.4% compared to 5.5%, a difference of 1.8%), and average family size (3.10 compared to 3.17, a difference of 2.3%).
Lithuanian vs Danish Family Structure
Family Structure MetricLithuanianDanish
Family Households
Fair
64.0%
Exceptional
66.0%
Family Households with Children
Tragic
26.6%
Exceptional
28.7%
Married-couple Households
Exceptional
48.9%
Exceptional
51.1%
Average Family Size
Tragic
3.10
Tragic
3.17
Single Father Households
Exceptional
2.1%
Average
2.3%
Single Mother Households
Exceptional
5.4%
Exceptional
5.5%
Currently Married
Exceptional
49.0%
Exceptional
50.5%
Divorced or Separated
Exceptional
11.7%
Excellent
11.9%
Births to Unmarried Women
Exceptional
29.6%
Exceptional
28.7%

Lithuanian vs Danish Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Danish communities in the United States are seen in 4 or more vehicles in household (6.3% compared to 8.6%, a difference of 35.5%), no vehicles in household (8.4% compared to 6.6%, a difference of 28.0%), and 3 or more vehicles in household (20.1% compared to 24.7%, a difference of 22.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 93.5%, a difference of 2.0%), 2 or more vehicles in household (58.2% compared to 63.3%, a difference of 8.7%), and 3 or more vehicles in household (20.1% compared to 24.7%, a difference of 22.9%).
Lithuanian vs Danish Vehicle Availability
Vehicle Availability MetricLithuanianDanish
No Vehicles Available
Exceptional
8.4%
Exceptional
6.6%
1+ Vehicles Available
Exceptional
91.7%
Exceptional
93.5%
2+ Vehicles Available
Exceptional
58.2%
Exceptional
63.3%
3+ Vehicles Available
Excellent
20.1%
Exceptional
24.7%
4+ Vehicles Available
Average
6.3%
Exceptional
8.6%

Lithuanian vs Danish Education Level

When considering education level, the most significant differences between Lithuanian and Danish communities in the United States are seen in professional degree (5.4% compared to 4.4%, a difference of 23.3%), master's degree (17.7% compared to 14.5%, a difference of 22.0%), and doctorate degree (2.3% compared to 1.9%, a difference of 18.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.0%), kindergarten (98.6% compared to 98.6%, a difference of 0.0%), and 1st grade (98.6% compared to 98.6%, a difference of 0.0%).
Lithuanian vs Danish Education Level
Education Level MetricLithuanianDanish
No Schooling Completed
Exceptional
1.4%
Exceptional
1.5%
Nursery School
Exceptional
98.6%
Exceptional
98.6%
Kindergarten
Exceptional
98.6%
Exceptional
98.6%
1st Grade
Exceptional
98.6%
Exceptional
98.6%
2nd Grade
Exceptional
98.5%
Exceptional
98.5%
3rd Grade
Exceptional
98.5%
Exceptional
98.5%
4th Grade
Exceptional
98.3%
Exceptional
98.3%
5th Grade
Exceptional
98.2%
Exceptional
98.2%
6th Grade
Exceptional
98.1%
Exceptional
98.0%
7th Grade
Exceptional
97.5%
Exceptional
97.4%
8th Grade
Exceptional
97.3%
Exceptional
97.2%
9th Grade
Exceptional
96.6%
Exceptional
96.5%
10th Grade
Exceptional
95.8%
Exceptional
95.7%
11th Grade
Exceptional
94.8%
Exceptional
94.7%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
93.5%
High School Diploma
Exceptional
92.0%
Exceptional
91.8%
GED/Equivalency
Exceptional
88.9%
Exceptional
88.4%
College, Under 1 year
Exceptional
68.8%
Exceptional
68.5%
College, 1 year or more
Exceptional
62.9%
Exceptional
61.7%
Associate's Degree
Exceptional
50.6%
Good
47.4%
Bachelor's Degree
Exceptional
42.2%
Average
38.1%
Master's Degree
Exceptional
17.7%
Fair
14.5%
Professional Degree
Exceptional
5.4%
Average
4.4%
Doctorate Degree
Exceptional
2.3%
Good
1.9%

Lithuanian vs Danish Disability

When considering disability, the most significant differences between Lithuanian and Danish communities in the United States are seen in disability age 18 to 34 (7.0% compared to 7.5%, a difference of 7.7%), disability age 65 to 74 (21.4% compared to 22.8%, a difference of 6.4%), and hearing disability (3.4% compared to 3.6%, a difference of 6.1%). Conversely, both communities are more comparable in terms of female disability (12.2% compared to 12.1%, a difference of 0.56%), disability (11.9% compared to 12.0%, a difference of 0.96%), and vision disability (2.0% compared to 2.1%, a difference of 1.6%).
Lithuanian vs Danish Disability
Disability MetricLithuanianDanish
Disability
Poor
11.9%
Tragic
12.0%
Males
Tragic
11.6%
Tragic
11.9%
Females
Average
12.2%
Good
12.1%
Age | Under 5 years
Tragic
1.6%
Tragic
1.5%
Age | 5 to 17 years
Tragic
5.8%
Fair
5.7%
Age | 18 to 34 years
Tragic
7.0%
Tragic
7.5%
Age | 35 to 64 years
Excellent
10.8%
Fair
11.4%
Age | 65 to 74 years
Exceptional
21.4%
Excellent
22.8%
Age | Over 75 years
Exceptional
45.1%
Exceptional
46.2%
Vision
Exceptional
2.0%
Exceptional
2.1%
Hearing
Tragic
3.4%
Tragic
3.6%
Cognitive
Exceptional
16.3%
Exceptional
16.7%
Ambulatory
Excellent
6.0%
Exceptional
5.8%
Self-Care
Exceptional
2.4%
Exceptional
2.3%