Czech vs Lithuanian Community Comparison

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Czech
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 RicanCreeCreekCroatianCrowCubanCypriotCzechoslovakianDanishDelawareDominicanDutchDutch 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

Czechs

Lithuanians

Excellent
Excellent
8,484
SOCIAL INDEX
82.3/ 100
SOCIAL RATING
70th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Czech Communities

The statistical analysis conducted on geographies consisting of 391,433,780 people shows a substantial positive correlation between the proportion of Lithuanians within Czech communities in the United States with a correlation coefficient (R) of 0.572. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 0.058% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Czechs corresponds to an increase of 58.0 Lithuanians.
Czech Integration in Lithuanian Communities

Czech vs Lithuanian Income

When considering income, the most significant differences between Czech and Lithuanian communities in the United States are seen in per capita income ($44,595 compared to $49,448, a difference of 10.9%), median family income ($105,839 compared to $115,395, a difference of 9.0%), and householder income ages 25 - 44 years ($96,525 compared to $105,223, a difference of 9.0%). Conversely, both communities are more comparable in terms of wage/income gap (29.2% compared to 28.7%, a difference of 1.5%), householder income under 25 years ($51,421 compared to $53,552, a difference of 4.1%), and householder income over 65 years ($61,244 compared to $65,209, a difference of 6.5%).
Czech vs Lithuanian Income
Income MetricCzechLithuanian
Per Capita Income
Good
$44,595
Exceptional
$49,448
Median Family Income
Excellent
$105,839
Exceptional
$115,395
Median Household Income
Good
$86,164
Exceptional
$93,852
Median Earnings
Good
$47,221
Exceptional
$50,991
Median Male Earnings
Excellent
$56,546
Exceptional
$61,228
Median Female Earnings
Poor
$38,992
Exceptional
$42,108
Householder Age | Under 25 years
Poor
$51,421
Exceptional
$53,552
Householder Age | 25 - 44 years
Good
$96,525
Exceptional
$105,223
Householder Age | 45 - 64 years
Excellent
$103,507
Exceptional
$112,484
Householder Age | Over 65 years
Average
$61,244
Exceptional
$65,209
Wage/Income Gap
Tragic
29.2%
Tragic
28.7%

Czech vs Lithuanian Poverty

When considering poverty, the most significant differences between Czech and Lithuanian communities in the United States are seen in single female poverty (21.0% compared to 19.2%, a difference of 9.6%), female poverty among 18-24 year olds (20.4% compared to 18.7%, a difference of 9.2%), and female poverty among 25-34 year olds (12.9% compared to 12.2%, a difference of 5.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (10.5% compared to 10.6%, a difference of 0.32%), seniors poverty over the age of 65 (9.0% compared to 9.1%, a difference of 0.77%), and child poverty among boys under 16 (14.1% compared to 14.0%, a difference of 1.3%).
Czech vs Lithuanian Poverty
Poverty MetricCzechLithuanian
Poverty
Exceptional
10.8%
Exceptional
10.5%
Families
Exceptional
7.4%
Exceptional
7.2%
Males
Exceptional
9.8%
Exceptional
9.5%
Females
Exceptional
11.9%
Exceptional
11.4%
Females 18 to 24 years
Fair
20.4%
Exceptional
18.7%
Females 25 to 34 years
Exceptional
12.9%
Exceptional
12.2%
Children Under 5 years
Exceptional
15.5%
Exceptional
15.2%
Children Under 16 years
Exceptional
13.8%
Exceptional
13.5%
Boys Under 16 years
Exceptional
14.1%
Exceptional
14.0%
Girls Under 16 years
Exceptional
14.2%
Exceptional
13.9%
Single Males
Tragic
13.5%
Fair
13.0%
Single Females
Average
21.0%
Exceptional
19.2%
Single Fathers
Tragic
17.0%
Tragic
17.3%
Single Mothers
Good
28.9%
Exceptional
27.4%
Married Couples
Exceptional
4.0%
Exceptional
4.0%
Seniors Over 65 years
Exceptional
9.0%
Exceptional
9.1%
Seniors Over 75 years
Exceptional
10.5%
Exceptional
10.6%
Receiving Food Stamps
Exceptional
9.2%
Exceptional
9.7%

Czech vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Czech and Lithuanian communities in the United States are seen in unemployment (4.3% compared to 4.8%, a difference of 10.5%), male unemployment (4.5% compared to 5.0%, a difference of 9.9%), and unemployment among ages 20 to 24 years (9.3% compared to 10.2%, a difference of 9.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.7% compared to 9.9%, a difference of 1.8%), unemployment among women with children under 6 years (7.6% compared to 7.8%, a difference of 2.1%), and unemployment among ages 25 to 29 years (6.2% compared to 6.5%, a difference of 6.4%).
Czech vs Lithuanian Unemployment
Unemployment MetricCzechLithuanian
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
15.4%
Exceptional
16.7%
Age | 20 to 24 years
Exceptional
9.3%
Good
10.2%
Age | 25 to 29 years
Exceptional
6.2%
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
4.0%
Exceptional
4.3%
Age | 55 to 59 years
Exceptional
4.4%
Excellent
4.7%
Age | 60 to 64 years
Exceptional
4.4%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.0%
Fair
5.4%
Seniors > 65
Exceptional
4.7%
Average
5.1%
Seniors > 75
Tragic
9.7%
Tragic
9.9%
Women w/ Children < 6
Average
7.6%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
8.7%
Tragic
9.4%
Women w/ Children < 18
Exceptional
4.7%
Exceptional
5.0%

Czech vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Czech and Lithuanian communities in the United States are seen in in labor force | age 16-19 (43.6% compared to 40.4%, a difference of 7.9%), in labor force | age 20-24 (78.5% compared to 77.0%, a difference of 2.0%), and in labor force | age > 16 (65.4% compared to 64.8%, a difference of 0.85%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.3% compared to 85.2%, a difference of 0.10%), in labor force | age 30-34 (85.5% compared to 85.6%, a difference of 0.11%), and in labor force | age 25-29 (85.6% compared to 85.8%, a difference of 0.19%).
Czech vs Lithuanian Labor Participation
Labor Participation MetricCzechLithuanian
In Labor Force | Age > 16
Excellent
65.4%
Poor
64.8%
In Labor Force | Age 20-64
Exceptional
80.5%
Exceptional
80.2%
In Labor Force | Age 16-19
Exceptional
43.6%
Exceptional
40.4%
In Labor Force | Age 20-24
Exceptional
78.5%
Exceptional
77.0%
In Labor Force | Age 25-29
Exceptional
85.6%
Exceptional
85.8%
In Labor Force | Age 30-34
Exceptional
85.5%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
85.3%
Exceptional
85.2%
In Labor Force | Age 45-54
Exceptional
83.9%
Exceptional
83.6%

Czech vs Lithuanian Family Structure

When considering family structure, the most significant differences between Czech and Lithuanian communities in the United States are seen in single father households (2.3% compared to 2.1%, a difference of 9.7%), single mother households (5.6% compared to 5.4%, a difference of 3.9%), and family households with children (27.5% compared to 26.6%, a difference of 3.6%). Conversely, both communities are more comparable in terms of average family size (3.11 compared to 3.10, a difference of 0.17%), family households (64.5% compared to 64.0%, a difference of 0.63%), and married-couple households (49.4% compared to 48.9%, a difference of 1.1%).
Czech vs Lithuanian Family Structure
Family Structure MetricCzechLithuanian
Family Households
Good
64.5%
Fair
64.0%
Family Households with Children
Good
27.5%
Tragic
26.6%
Married-couple Households
Exceptional
49.4%
Exceptional
48.9%
Average Family Size
Tragic
3.11
Tragic
3.10
Single Father Households
Good
2.3%
Exceptional
2.1%
Single Mother Households
Exceptional
5.6%
Exceptional
5.4%
Currently Married
Exceptional
49.9%
Exceptional
49.0%
Divorced or Separated
Good
11.9%
Exceptional
11.7%
Births to Unmarried Women
Excellent
30.5%
Exceptional
29.6%

Czech vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Czech and Lithuanian communities in the United States are seen in no vehicles in household (6.9% compared to 8.4%, a difference of 22.6%), 4 or more vehicles in household (7.4% compared to 6.3%, a difference of 16.2%), and 3 or more vehicles in household (22.5% compared to 20.1%, a difference of 11.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.3% compared to 91.7%, a difference of 1.7%), 2 or more vehicles in household (61.5% compared to 58.2%, a difference of 5.6%), and 3 or more vehicles in household (22.5% compared to 20.1%, a difference of 11.9%).
Czech vs Lithuanian Vehicle Availability
Vehicle Availability MetricCzechLithuanian
No Vehicles Available
Exceptional
6.9%
Exceptional
8.4%
1+ Vehicles Available
Exceptional
93.3%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
61.5%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
22.5%
Excellent
20.1%
4+ Vehicles Available
Exceptional
7.4%
Average
6.3%

Czech vs Lithuanian Education Level

When considering education level, the most significant differences between Czech and Lithuanian communities in the United States are seen in professional degree (4.4% compared to 5.4%, a difference of 23.0%), master's degree (14.7% compared to 17.7%, a difference of 20.4%), and doctorate degree (1.9% compared to 2.3%, a difference of 19.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.040%), kindergarten (98.6% compared to 98.6%, a difference of 0.040%), and 1st grade (98.5% compared to 98.6%, a difference of 0.040%).
Czech vs Lithuanian Education Level
Education Level MetricCzechLithuanian
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
98.5%
Exceptional
98.6%
2nd Grade
Exceptional
98.5%
Exceptional
98.5%
3rd Grade
Exceptional
98.4%
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
97.1%
Exceptional
97.3%
9th Grade
Exceptional
96.4%
Exceptional
96.6%
10th Grade
Exceptional
95.5%
Exceptional
95.8%
11th Grade
Exceptional
94.4%
Exceptional
94.8%
12th Grade, No Diploma
Exceptional
93.2%
Exceptional
93.6%
High School Diploma
Exceptional
91.6%
Exceptional
92.0%
GED/Equivalency
Exceptional
88.1%
Exceptional
88.9%
College, Under 1 year
Exceptional
67.1%
Exceptional
68.8%
College, 1 year or more
Excellent
60.6%
Exceptional
62.9%
Associate's Degree
Good
47.2%
Exceptional
50.6%
Bachelor's Degree
Average
38.0%
Exceptional
42.2%
Master's Degree
Average
14.7%
Exceptional
17.7%
Professional Degree
Average
4.4%
Exceptional
5.4%
Doctorate Degree
Good
1.9%
Exceptional
2.3%

Czech vs Lithuanian Disability

When considering disability, the most significant differences between Czech and Lithuanian communities in the United States are seen in hearing disability (3.5% compared to 3.4%, a difference of 5.1%), disability age 65 to 74 (22.4% compared to 21.4%, a difference of 4.9%), and disability age 35 to 64 (11.3% compared to 10.8%, a difference of 4.5%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.12%), ambulatory disability (6.0% compared to 6.0%, a difference of 0.13%), and female disability (12.1% compared to 12.2%, a difference of 0.17%).
Czech vs Lithuanian Disability
Disability MetricCzechLithuanian
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
Tragic
5.8%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.2%
Tragic
7.0%
Age | 35 to 64 years
Average
11.3%
Excellent
10.8%
Age | 65 to 74 years
Exceptional
22.4%
Exceptional
21.4%
Age | Over 75 years
Exceptional
45.7%
Exceptional
45.1%
Vision
Excellent
2.1%
Exceptional
2.0%
Hearing
Tragic
3.5%
Tragic
3.4%
Cognitive
Exceptional
16.4%
Exceptional
16.3%
Ambulatory
Excellent
6.0%
Excellent
6.0%
Self-Care
Exceptional
2.3%
Exceptional
2.4%