Ecuadorian vs Lithuanian Community Comparison

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Ecuadorian
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 EuropeanEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench 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

Ecuadorians

Lithuanians

Poor
Excellent
2,199
SOCIAL INDEX
19.5/ 100
SOCIAL RATING
267th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Ecuadorian Communities

The statistical analysis conducted on geographies consisting of 276,031,260 people shows a weak positive correlation between the proportion of Lithuanians within Ecuadorian communities in the United States with a correlation coefficient (R) of 0.207. On average, for every 1% (one percent) increase in Ecuadorians within a typical geography, there is an increase of 0.004% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Ecuadorians corresponds to an increase of 4.5 Lithuanians.
Ecuadorian Integration in Lithuanian Communities

Ecuadorian vs Lithuanian Income

When considering income, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in wage/income gap (22.9% compared to 28.7%, a difference of 25.5%), median family income ($95,114 compared to $115,395, a difference of 21.3%), and householder income ages 45 - 64 years ($93,739 compared to $112,484, a difference of 20.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,911 compared to $53,552, a difference of 0.67%), median female earnings ($39,117 compared to $42,108, a difference of 7.6%), and median earnings ($45,214 compared to $50,991, a difference of 12.8%).
Ecuadorian vs Lithuanian Income
Income MetricEcuadorianLithuanian
Per Capita Income
Poor
$41,958
Exceptional
$49,448
Median Family Income
Tragic
$95,114
Exceptional
$115,395
Median Household Income
Poor
$82,070
Exceptional
$93,852
Median Earnings
Poor
$45,214
Exceptional
$50,991
Median Male Earnings
Tragic
$51,596
Exceptional
$61,228
Median Female Earnings
Fair
$39,117
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$53,911
Exceptional
$53,552
Householder Age | 25 - 44 years
Poor
$91,574
Exceptional
$105,223
Householder Age | 45 - 64 years
Tragic
$93,739
Exceptional
$112,484
Householder Age | Over 65 years
Tragic
$54,958
Exceptional
$65,209
Wage/Income Gap
Exceptional
22.9%
Tragic
28.7%

Ecuadorian vs Lithuanian Poverty

When considering poverty, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in married-couple family poverty (6.5% compared to 4.0%, a difference of 64.4%), seniors poverty over the age of 65 (14.0% compared to 9.1%, a difference of 54.5%), and receiving food stamps (14.9% compared to 9.7%, a difference of 53.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.1% compared to 18.7%, a difference of 2.3%), single male poverty (12.5% compared to 13.0%, a difference of 4.1%), and single father poverty (16.5% compared to 17.3%, a difference of 4.8%).
Ecuadorian vs Lithuanian Poverty
Poverty MetricEcuadorianLithuanian
Poverty
Tragic
14.0%
Exceptional
10.5%
Families
Tragic
10.8%
Exceptional
7.2%
Males
Tragic
12.7%
Exceptional
9.5%
Females
Tragic
15.3%
Exceptional
11.4%
Females 18 to 24 years
Exceptional
19.1%
Exceptional
18.7%
Females 25 to 34 years
Tragic
14.3%
Exceptional
12.2%
Children Under 5 years
Tragic
19.2%
Exceptional
15.2%
Children Under 16 years
Tragic
19.0%
Exceptional
13.5%
Boys Under 16 years
Tragic
19.3%
Exceptional
14.0%
Girls Under 16 years
Tragic
18.8%
Exceptional
13.9%
Single Males
Excellent
12.5%
Fair
13.0%
Single Females
Poor
21.6%
Exceptional
19.2%
Single Fathers
Fair
16.5%
Tragic
17.3%
Single Mothers
Tragic
30.8%
Exceptional
27.4%
Married Couples
Tragic
6.5%
Exceptional
4.0%
Seniors Over 65 years
Tragic
14.0%
Exceptional
9.1%
Seniors Over 75 years
Tragic
15.7%
Exceptional
10.6%
Receiving Food Stamps
Tragic
14.9%
Exceptional
9.7%

Ecuadorian vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in female unemployment (6.3% compared to 4.7%, a difference of 32.1%), unemployment among women with children under 18 years (6.5% compared to 5.0%, a difference of 29.6%), and unemployment (6.2% compared to 4.8%, a difference of 28.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.9% compared to 7.8%, a difference of 2.0%), unemployment among women with children ages 6 to 17 years (10.0% compared to 9.4%, a difference of 6.3%), and unemployment among ages 65 to 74 years (5.8% compared to 5.4%, a difference of 7.8%).
Ecuadorian vs Lithuanian Unemployment
Unemployment MetricEcuadorianLithuanian
Unemployment
Tragic
6.2%
Exceptional
4.8%
Males
Tragic
6.2%
Exceptional
5.0%
Females
Tragic
6.3%
Exceptional
4.7%
Youth < 25
Tragic
13.3%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
20.5%
Exceptional
16.7%
Age | 20 to 24 years
Tragic
11.8%
Good
10.2%
Age | 25 to 29 years
Tragic
7.4%
Good
6.5%
Age | 30 to 34 years
Tragic
6.3%
Good
5.4%
Age | 35 to 44 years
Tragic
5.4%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
5.3%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.6%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.8%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.8%
Fair
5.4%
Seniors > 65
Tragic
5.6%
Average
5.1%
Seniors > 75
Good
8.6%
Tragic
9.9%
Women w/ Children < 6
Poor
7.9%
Fair
7.8%
Women w/ Children 6 to 17
Tragic
10.0%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.5%
Exceptional
5.0%

Ecuadorian vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 40.4%, a difference of 28.8%), in labor force | age 20-24 (72.4% compared to 77.0%, a difference of 6.3%), and in labor force | age 25-29 (84.4% compared to 85.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.4% compared to 80.2%, a difference of 1.1%), in labor force | age 35-44 (84.2% compared to 85.2%, a difference of 1.2%), and in labor force | age > 16 (65.6% compared to 64.8%, a difference of 1.3%).
Ecuadorian vs Lithuanian Labor Participation
Labor Participation MetricEcuadorianLithuanian
In Labor Force | Age > 16
Exceptional
65.6%
Poor
64.8%
In Labor Force | Age 20-64
Fair
79.4%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
31.4%
Exceptional
40.4%
In Labor Force | Age 20-24
Tragic
72.4%
Exceptional
77.0%
In Labor Force | Age 25-29
Poor
84.4%
Exceptional
85.8%
In Labor Force | Age 30-34
Poor
84.4%
Exceptional
85.6%
In Labor Force | Age 35-44
Fair
84.2%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
82.3%
Exceptional
83.6%

Ecuadorian vs Lithuanian Family Structure

When considering family structure, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in single mother households (7.2% compared to 5.4%, a difference of 32.4%), single father households (2.4% compared to 2.1%, a difference of 13.1%), and births to unmarried women (33.3% compared to 29.6%, a difference of 12.6%). Conversely, both communities are more comparable in terms of divorced or separated (11.7% compared to 11.7%, a difference of 0.090%), family households (65.0% compared to 64.0%, a difference of 1.4%), and family households with children (27.8% compared to 26.6%, a difference of 4.6%).
Ecuadorian vs Lithuanian Family Structure
Family Structure MetricEcuadorianLithuanian
Family Households
Exceptional
65.0%
Fair
64.0%
Family Households with Children
Exceptional
27.8%
Tragic
26.6%
Married-couple Households
Tragic
43.5%
Exceptional
48.9%
Average Family Size
Exceptional
3.32
Tragic
3.10
Single Father Households
Fair
2.4%
Exceptional
2.1%
Single Mother Households
Tragic
7.2%
Exceptional
5.4%
Currently Married
Tragic
43.6%
Exceptional
49.0%
Divorced or Separated
Exceptional
11.7%
Exceptional
11.7%
Births to Unmarried Women
Poor
33.3%
Exceptional
29.6%

Ecuadorian vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in no vehicles in household (22.8% compared to 8.4%, a difference of 169.7%), 3 or more vehicles in household (14.1% compared to 20.1%, a difference of 43.2%), and 4 or more vehicles in household (4.5% compared to 6.3%, a difference of 41.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (77.9% compared to 91.7%, a difference of 17.6%), 2 or more vehicles in household (42.0% compared to 58.2%, a difference of 38.8%), and 4 or more vehicles in household (4.5% compared to 6.3%, a difference of 41.7%).
Ecuadorian vs Lithuanian Vehicle Availability
Vehicle Availability MetricEcuadorianLithuanian
No Vehicles Available
Tragic
22.8%
Exceptional
8.4%
1+ Vehicles Available
Tragic
77.9%
Exceptional
91.7%
2+ Vehicles Available
Tragic
42.0%
Exceptional
58.2%
3+ Vehicles Available
Tragic
14.1%
Excellent
20.1%
4+ Vehicles Available
Tragic
4.5%
Average
6.3%

Ecuadorian vs Lithuanian Education Level

When considering education level, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in no schooling completed (3.0% compared to 1.4%, a difference of 105.6%), doctorate degree (1.5% compared to 2.3%, a difference of 54.8%), and professional degree (3.9% compared to 5.4%, a difference of 37.3%). Conversely, both communities are more comparable in terms of nursery school (97.1% compared to 98.6%, a difference of 1.6%), kindergarten (97.0% compared to 98.6%, a difference of 1.6%), and 1st grade (97.0% compared to 98.6%, a difference of 1.6%).
Ecuadorian vs Lithuanian Education Level
Education Level MetricEcuadorianLithuanian
No Schooling Completed
Tragic
3.0%
Exceptional
1.4%
Nursery School
Tragic
97.1%
Exceptional
98.6%
Kindergarten
Tragic
97.0%
Exceptional
98.6%
1st Grade
Tragic
97.0%
Exceptional
98.6%
2nd Grade
Tragic
96.9%
Exceptional
98.5%
3rd Grade
Tragic
96.7%
Exceptional
98.5%
4th Grade
Tragic
96.4%
Exceptional
98.3%
5th Grade
Tragic
96.0%
Exceptional
98.2%
6th Grade
Tragic
95.5%
Exceptional
98.1%
7th Grade
Tragic
94.0%
Exceptional
97.5%
8th Grade
Tragic
93.6%
Exceptional
97.3%
9th Grade
Tragic
91.9%
Exceptional
96.6%
10th Grade
Tragic
90.6%
Exceptional
95.8%
11th Grade
Tragic
89.6%
Exceptional
94.8%
12th Grade, No Diploma
Tragic
88.0%
Exceptional
93.6%
High School Diploma
Tragic
85.1%
Exceptional
92.0%
GED/Equivalency
Tragic
81.7%
Exceptional
88.9%
College, Under 1 year
Tragic
59.3%
Exceptional
68.8%
College, 1 year or more
Tragic
54.3%
Exceptional
62.9%
Associate's Degree
Tragic
43.0%
Exceptional
50.6%
Bachelor's Degree
Tragic
35.4%
Exceptional
42.2%
Master's Degree
Poor
14.0%
Exceptional
17.7%
Professional Degree
Tragic
3.9%
Exceptional
5.4%
Doctorate Degree
Tragic
1.5%
Exceptional
2.3%

Ecuadorian vs Lithuanian Disability

When considering disability, the most significant differences between Ecuadorian and Lithuanian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 42.7%), hearing disability (2.5% compared to 3.4%, a difference of 33.6%), and disability age 18 to 34 (5.8% compared to 7.0%, a difference of 19.9%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (10.7% compared to 10.8%, a difference of 1.1%), ambulatory disability (6.1% compared to 6.0%, a difference of 1.5%), and female disability (11.9% compared to 12.2%, a difference of 2.2%).
Ecuadorian vs Lithuanian Disability
Disability MetricEcuadorianLithuanian
Disability
Exceptional
11.2%
Poor
11.9%
Males
Exceptional
10.5%
Tragic
11.6%
Females
Exceptional
11.9%
Average
12.2%
Age | Under 5 years
Exceptional
1.1%
Tragic
1.6%
Age | 5 to 17 years
Good
5.5%
Tragic
5.8%
Age | 18 to 34 years
Exceptional
5.8%
Tragic
7.0%
Age | 35 to 64 years
Exceptional
10.7%
Excellent
10.8%
Age | 65 to 74 years
Fair
23.6%
Exceptional
21.4%
Age | Over 75 years
Average
47.4%
Exceptional
45.1%
Vision
Tragic
2.3%
Exceptional
2.0%
Hearing
Exceptional
2.5%
Tragic
3.4%
Cognitive
Average
17.2%
Exceptional
16.3%
Ambulatory
Good
6.1%
Excellent
6.0%
Self-Care
Tragic
2.6%
Exceptional
2.4%