Moroccan vs Lithuanian Community Comparison

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Moroccan
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/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianNative 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

Moroccans

Lithuanians

Fair
Excellent
3,626
SOCIAL INDEX
33.8/ 100
SOCIAL RATING
215th/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Moroccan Communities

The statistical analysis conducted on geographies consisting of 185,212,700 people shows a substantial positive correlation between the proportion of Lithuanians within Moroccan communities in the United States with a correlation coefficient (R) of 0.596. On average, for every 1% (one percent) increase in Moroccans within a typical geography, there is an increase of 0.156% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Moroccans corresponds to an increase of 156.0 Lithuanians.
Moroccan Integration in Lithuanian Communities

Moroccan vs Lithuanian Income

When considering income, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in wage/income gap (24.0% compared to 28.7%, a difference of 19.9%), householder income ages 45 - 64 years ($100,138 compared to $112,484, a difference of 12.3%), and median family income ($104,488 compared to $115,395, a difference of 10.4%). Conversely, both communities are more comparable in terms of median female earnings ($41,872 compared to $42,108, a difference of 0.56%), householder income under 25 years ($53,256 compared to $53,552, a difference of 0.56%), and median earnings ($48,838 compared to $50,991, a difference of 4.4%).
Moroccan vs Lithuanian Income
Income MetricMoroccanLithuanian
Per Capita Income
Exceptional
$45,854
Exceptional
$49,448
Median Family Income
Good
$104,488
Exceptional
$115,395
Median Household Income
Good
$86,468
Exceptional
$93,852
Median Earnings
Exceptional
$48,838
Exceptional
$50,991
Median Male Earnings
Excellent
$56,499
Exceptional
$61,228
Median Female Earnings
Exceptional
$41,872
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$53,256
Exceptional
$53,552
Householder Age | 25 - 44 years
Good
$96,117
Exceptional
$105,223
Householder Age | 45 - 64 years
Average
$100,138
Exceptional
$112,484
Householder Age | Over 65 years
Fair
$59,683
Exceptional
$65,209
Wage/Income Gap
Exceptional
24.0%
Tragic
28.7%

Moroccan vs Lithuanian Poverty

When considering poverty, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in married-couple family poverty (5.7% compared to 4.0%, a difference of 43.2%), family poverty (9.8% compared to 7.2%, a difference of 36.3%), and seniors poverty over the age of 65 (12.0% compared to 9.1%, a difference of 32.4%). Conversely, both communities are more comparable in terms of single male poverty (12.9% compared to 13.0%, a difference of 0.94%), single father poverty (17.0% compared to 17.3%, a difference of 1.8%), and single mother poverty (29.5% compared to 27.4%, a difference of 7.6%).
Moroccan vs Lithuanian Poverty
Poverty MetricMoroccanLithuanian
Poverty
Tragic
13.2%
Exceptional
10.5%
Families
Tragic
9.8%
Exceptional
7.2%
Males
Tragic
12.0%
Exceptional
9.5%
Females
Tragic
14.3%
Exceptional
11.4%
Females 18 to 24 years
Fair
20.4%
Exceptional
18.7%
Females 25 to 34 years
Fair
13.8%
Exceptional
12.2%
Children Under 5 years
Tragic
18.2%
Exceptional
15.2%
Children Under 16 years
Tragic
17.6%
Exceptional
13.5%
Boys Under 16 years
Tragic
17.7%
Exceptional
14.0%
Girls Under 16 years
Tragic
17.8%
Exceptional
13.9%
Single Males
Fair
12.9%
Fair
13.0%
Single Females
Average
21.0%
Exceptional
19.2%
Single Fathers
Tragic
17.0%
Tragic
17.3%
Single Mothers
Fair
29.5%
Exceptional
27.4%
Married Couples
Tragic
5.7%
Exceptional
4.0%
Seniors Over 65 years
Tragic
12.0%
Exceptional
9.1%
Seniors Over 75 years
Tragic
13.3%
Exceptional
10.6%
Receiving Food Stamps
Tragic
12.8%
Exceptional
9.7%

Moroccan vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in unemployment among seniors over 75 years (7.8% compared to 9.9%, a difference of 26.2%), female unemployment (5.5% compared to 4.7%, a difference of 16.4%), and unemployment among women with children under 18 years (5.9% compared to 5.0%, a difference of 16.1%). 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 2.2%), unemployment among ages 25 to 29 years (6.7% compared to 6.5%, a difference of 2.4%), and unemployment among ages 30 to 34 years (5.5% compared to 5.4%, a difference of 3.1%).
Moroccan vs Lithuanian Unemployment
Unemployment MetricMoroccanLithuanian
Unemployment
Tragic
5.5%
Exceptional
4.8%
Males
Tragic
5.6%
Exceptional
5.0%
Females
Tragic
5.5%
Exceptional
4.7%
Youth < 25
Tragic
12.1%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
18.5%
Exceptional
16.7%
Age | 20 to 24 years
Tragic
10.7%
Good
10.2%
Age | 25 to 29 years
Fair
6.7%
Good
6.5%
Age | 30 to 34 years
Fair
5.5%
Good
5.4%
Age | 35 to 44 years
Tragic
4.9%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
4.8%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.0%
Excellent
4.7%
Age | 60 to 64 years
Poor
4.9%
Excellent
4.8%
Age | 65 to 74 years
Tragic
5.7%
Fair
5.4%
Seniors > 65
Tragic
5.4%
Average
5.1%
Seniors > 75
Exceptional
7.8%
Tragic
9.9%
Women w/ Children < 6
Tragic
7.9%
Fair
7.8%
Women w/ Children 6 to 17
Average
8.9%
Tragic
9.4%
Women w/ Children < 18
Tragic
5.9%
Exceptional
5.0%

Moroccan vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in in labor force | age 16-19 (35.7% compared to 40.4%, a difference of 13.3%), in labor force | age 20-24 (74.7% compared to 77.0%, a difference of 3.0%), and in labor force | age > 16 (66.1% compared to 64.8%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.7% compared to 80.2%, a difference of 0.73%), in labor force | age 30-34 (84.6% compared to 85.6%, a difference of 1.1%), and in labor force | age 35-44 (84.2% compared to 85.2%, a difference of 1.2%).
Moroccan vs Lithuanian Labor Participation
Labor Participation MetricMoroccanLithuanian
In Labor Force | Age > 16
Exceptional
66.1%
Poor
64.8%
In Labor Force | Age 20-64
Good
79.7%
Exceptional
80.2%
In Labor Force | Age 16-19
Poor
35.7%
Exceptional
40.4%
In Labor Force | Age 20-24
Fair
74.7%
Exceptional
77.0%
In Labor Force | Age 25-29
Fair
84.5%
Exceptional
85.8%
In Labor Force | Age 30-34
Average
84.6%
Exceptional
85.6%
In Labor Force | Age 35-44
Fair
84.2%
Exceptional
85.2%
In Labor Force | Age 45-54
Poor
82.5%
Exceptional
83.6%

Moroccan vs Lithuanian Family Structure

When considering family structure, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in single mother households (6.6% compared to 5.4%, a difference of 21.1%), married-couple households (43.5% compared to 48.9%, a difference of 12.4%), and currently married (44.6% compared to 49.0%, a difference of 9.9%). Conversely, both communities are more comparable in terms of family households with children (26.9% compared to 26.6%, a difference of 1.4%), divorced or separated (12.1% compared to 11.7%, a difference of 3.3%), and family households (61.9% compared to 64.0%, a difference of 3.4%).
Moroccan vs Lithuanian Family Structure
Family Structure MetricMoroccanLithuanian
Family Households
Tragic
61.9%
Fair
64.0%
Family Households with Children
Tragic
26.9%
Tragic
26.6%
Married-couple Households
Tragic
43.5%
Exceptional
48.9%
Average Family Size
Average
3.22
Tragic
3.10
Single Father Households
Exceptional
2.2%
Exceptional
2.1%
Single Mother Households
Poor
6.6%
Exceptional
5.4%
Currently Married
Tragic
44.6%
Exceptional
49.0%
Divorced or Separated
Fair
12.1%
Exceptional
11.7%
Births to Unmarried Women
Average
31.8%
Exceptional
29.6%

Moroccan vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in no vehicles in household (14.7% compared to 8.4%, a difference of 73.9%), 4 or more vehicles in household (4.9% compared to 6.3%, a difference of 28.8%), and 3 or more vehicles in household (15.9% compared to 20.1%, a difference of 26.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (85.4% compared to 91.7%, a difference of 7.4%), 2 or more vehicles in household (48.8% compared to 58.2%, a difference of 19.3%), and 3 or more vehicles in household (15.9% compared to 20.1%, a difference of 26.7%).
Moroccan vs Lithuanian Vehicle Availability
Vehicle Availability MetricMoroccanLithuanian
No Vehicles Available
Tragic
14.7%
Exceptional
8.4%
1+ Vehicles Available
Tragic
85.4%
Exceptional
91.7%
2+ Vehicles Available
Tragic
48.8%
Exceptional
58.2%
3+ Vehicles Available
Tragic
15.9%
Excellent
20.1%
4+ Vehicles Available
Tragic
4.9%
Average
6.3%

Moroccan vs Lithuanian Education Level

When considering education level, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in no schooling completed (2.2% compared to 1.4%, a difference of 54.5%), doctorate degree (2.0% compared to 2.3%, a difference of 12.2%), and professional degree (5.0% compared to 5.4%, a difference of 8.7%). Conversely, both communities are more comparable in terms of nursery school (97.8% compared to 98.6%, a difference of 0.84%), kindergarten (97.8% compared to 98.6%, a difference of 0.85%), and 1st grade (97.7% compared to 98.6%, a difference of 0.86%).
Moroccan vs Lithuanian Education Level
Education Level MetricMoroccanLithuanian
No Schooling Completed
Poor
2.2%
Exceptional
1.4%
Nursery School
Tragic
97.8%
Exceptional
98.6%
Kindergarten
Tragic
97.8%
Exceptional
98.6%
1st Grade
Tragic
97.7%
Exceptional
98.6%
2nd Grade
Tragic
97.7%
Exceptional
98.5%
3rd Grade
Tragic
97.6%
Exceptional
98.5%
4th Grade
Poor
97.3%
Exceptional
98.3%
5th Grade
Poor
97.1%
Exceptional
98.2%
6th Grade
Tragic
96.8%
Exceptional
98.1%
7th Grade
Poor
95.8%
Exceptional
97.5%
8th Grade
Poor
95.5%
Exceptional
97.3%
9th Grade
Poor
94.6%
Exceptional
96.6%
10th Grade
Fair
93.5%
Exceptional
95.8%
11th Grade
Fair
92.3%
Exceptional
94.8%
12th Grade, No Diploma
Fair
90.9%
Exceptional
93.6%
High School Diploma
Fair
88.8%
Exceptional
92.0%
GED/Equivalency
Fair
85.5%
Exceptional
88.9%
College, Under 1 year
Average
65.6%
Exceptional
68.8%
College, 1 year or more
Good
60.2%
Exceptional
62.9%
Associate's Degree
Excellent
48.2%
Exceptional
50.6%
Bachelor's Degree
Exceptional
40.5%
Exceptional
42.2%
Master's Degree
Exceptional
16.8%
Exceptional
17.7%
Professional Degree
Exceptional
5.0%
Exceptional
5.4%
Doctorate Degree
Exceptional
2.0%
Exceptional
2.3%

Moroccan vs Lithuanian Disability

When considering disability, the most significant differences between Moroccan and Lithuanian communities in the United States are seen in disability age under 5 (1.2% compared to 1.6%, a difference of 30.7%), hearing disability (2.8% compared to 3.4%, a difference of 19.6%), and disability age 65 to 74 (23.3% compared to 21.4%, a difference of 8.8%). Conversely, both communities are more comparable in terms of female disability (12.1% compared to 12.2%, a difference of 0.57%), disability age 5 to 17 (5.7% compared to 5.8%, a difference of 0.57%), and disability age 35 to 64 (11.0% compared to 10.8%, a difference of 1.9%).
Moroccan vs Lithuanian Disability
Disability MetricMoroccanLithuanian
Disability
Excellent
11.5%
Poor
11.9%
Males
Excellent
11.0%
Tragic
11.6%
Females
Good
12.1%
Average
12.2%
Age | Under 5 years
Excellent
1.2%
Tragic
1.6%
Age | 5 to 17 years
Poor
5.7%
Tragic
5.8%
Age | 18 to 34 years
Excellent
6.4%
Tragic
7.0%
Age | 35 to 64 years
Good
11.0%
Excellent
10.8%
Age | 65 to 74 years
Average
23.3%
Exceptional
21.4%
Age | Over 75 years
Good
47.2%
Exceptional
45.1%
Vision
Fair
2.2%
Exceptional
2.0%
Hearing
Exceptional
2.8%
Tragic
3.4%
Cognitive
Tragic
17.6%
Exceptional
16.3%
Ambulatory
Average
6.1%
Excellent
6.0%
Self-Care
Fair
2.5%
Exceptional
2.4%