Danish vs Lithuanian Community Comparison

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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
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Danes

Lithuanians

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

Lithuanian Integration in Danish Communities

The statistical analysis conducted on geographies consisting of 384,075,216 people shows a substantial positive correlation between the proportion of Lithuanians within Danish communities in the United States with a correlation coefficient (R) of 0.534. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.034% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 34.4 Lithuanians.
Danish Integration in Lithuanian Communities

Danish vs Lithuanian Income

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

Danish vs Lithuanian Poverty

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

Danish vs Lithuanian Unemployment

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

Danish vs Lithuanian Labor Participation

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

Danish vs Lithuanian Family Structure

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

Danish vs Lithuanian Vehicle Availability

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

Danish vs Lithuanian Education Level

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

Danish vs Lithuanian Disability

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