Nepalese vs Lithuanian Community Comparison

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Nepalese
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 IndianMongolianMoroccanNative HawaiianNavajoNew 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

Nepalese

Lithuanians

Poor
Excellent
1,939
SOCIAL INDEX
16.9/ 100
SOCIAL RATING
281st/ 347
SOCIAL RANK
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK

Lithuanian Integration in Nepalese Communities

The statistical analysis conducted on geographies consisting of 22,657,367 people shows a poor positive correlation between the proportion of Lithuanians within Nepalese communities in the United States with a correlation coefficient (R) of 0.153. On average, for every 1% (one percent) increase in Nepalese within a typical geography, there is an increase of 0.048% in Lithuanians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nepalese corresponds to an increase of 48.4 Lithuanians.
Nepalese Integration in Lithuanian Communities

Nepalese vs Lithuanian Income

When considering income, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in wage/income gap (22.2% compared to 28.7%, a difference of 29.4%), per capita income ($38,442 compared to $49,448, a difference of 28.6%), and median male earnings ($49,458 compared to $61,228, a difference of 23.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,472 compared to $53,552, a difference of 1.7%), median female earnings ($38,603 compared to $42,108, a difference of 9.1%), and householder income over 65 years ($58,761 compared to $65,209, a difference of 11.0%).
Nepalese vs Lithuanian Income
Income MetricNepaleseLithuanian
Per Capita Income
Tragic
$38,442
Exceptional
$49,448
Median Family Income
Tragic
$94,153
Exceptional
$115,395
Median Household Income
Poor
$82,410
Exceptional
$93,852
Median Earnings
Tragic
$43,860
Exceptional
$50,991
Median Male Earnings
Tragic
$49,458
Exceptional
$61,228
Median Female Earnings
Tragic
$38,603
Exceptional
$42,108
Householder Age | Under 25 years
Exceptional
$54,472
Exceptional
$53,552
Householder Age | 25 - 44 years
Poor
$91,498
Exceptional
$105,223
Householder Age | 45 - 64 years
Tragic
$93,355
Exceptional
$112,484
Householder Age | Over 65 years
Tragic
$58,761
Exceptional
$65,209
Wage/Income Gap
Exceptional
22.2%
Tragic
28.7%

Nepalese vs Lithuanian Poverty

When considering poverty, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in married-couple family poverty (6.5% compared to 4.0%, a difference of 65.0%), receiving food stamps (14.6% compared to 9.7%, a difference of 51.1%), and family poverty (10.4% compared to 7.2%, a difference of 45.0%). Conversely, both communities are more comparable in terms of single mother poverty (29.3% compared to 27.4%, a difference of 7.1%), female poverty among 18-24 year olds (20.2% compared to 18.7%, a difference of 8.1%), and single male poverty (11.6% compared to 13.0%, a difference of 12.3%).
Nepalese vs Lithuanian Poverty
Poverty MetricNepaleseLithuanian
Poverty
Tragic
14.0%
Exceptional
10.5%
Families
Tragic
10.4%
Exceptional
7.2%
Males
Tragic
12.8%
Exceptional
9.5%
Females
Tragic
15.2%
Exceptional
11.4%
Females 18 to 24 years
Fair
20.2%
Exceptional
18.7%
Females 25 to 34 years
Tragic
15.2%
Exceptional
12.2%
Children Under 5 years
Tragic
18.3%
Exceptional
15.2%
Children Under 16 years
Tragic
18.2%
Exceptional
13.5%
Boys Under 16 years
Tragic
18.0%
Exceptional
14.0%
Girls Under 16 years
Tragic
18.6%
Exceptional
13.9%
Single Males
Exceptional
11.6%
Fair
13.0%
Single Females
Tragic
21.7%
Exceptional
19.2%
Single Fathers
Exceptional
14.4%
Tragic
17.3%
Single Mothers
Fair
29.3%
Exceptional
27.4%
Married Couples
Tragic
6.5%
Exceptional
4.0%
Seniors Over 65 years
Tragic
11.5%
Exceptional
9.1%
Seniors Over 75 years
Poor
12.6%
Exceptional
10.6%
Receiving Food Stamps
Tragic
14.6%
Exceptional
9.7%

Nepalese vs Lithuanian Unemployment

When considering unemployment, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in male unemployment (6.4% compared to 5.0%, a difference of 29.5%), unemployment (6.2% compared to 4.8%, a difference of 28.7%), and unemployment among ages 35 to 44 years (5.6% compared to 4.4%, a difference of 26.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.21%), unemployment among women with children under 6 years (7.7% compared to 7.8%, a difference of 0.97%), and unemployment among seniors over 75 years (10.1% compared to 9.9%, a difference of 2.3%).
Nepalese vs Lithuanian Unemployment
Unemployment MetricNepaleseLithuanian
Unemployment
Tragic
6.2%
Exceptional
4.8%
Males
Tragic
6.4%
Exceptional
5.0%
Females
Tragic
5.9%
Exceptional
4.7%
Youth < 25
Tragic
12.5%
Exceptional
11.3%
Age | 16 to 19 years
Tragic
18.2%
Exceptional
16.7%
Age | 20 to 24 years
Tragic
10.6%
Good
10.2%
Age | 25 to 29 years
Tragic
7.5%
Good
6.5%
Age | 30 to 34 years
Tragic
5.9%
Good
5.4%
Age | 35 to 44 years
Tragic
5.6%
Exceptional
4.4%
Age | 45 to 54 years
Tragic
5.0%
Exceptional
4.3%
Age | 55 to 59 years
Tragic
5.6%
Excellent
4.7%
Age | 60 to 64 years
Tragic
5.2%
Excellent
4.8%
Age | 65 to 74 years
Exceptional
5.0%
Fair
5.4%
Seniors > 65
Good
5.1%
Average
5.1%
Seniors > 75
Tragic
10.1%
Tragic
9.9%
Women w/ Children < 6
Average
7.7%
Fair
7.8%
Women w/ Children 6 to 17
Exceptional
7.7%
Tragic
9.4%
Women w/ Children < 18
Tragic
6.0%
Exceptional
5.0%

Nepalese vs Lithuanian Labor Participation

When considering labor participation, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in in labor force | age 16-19 (33.5% compared to 40.4%, a difference of 20.6%), in labor force | age 45-54 (80.5% compared to 83.6%, a difference of 3.8%), and in labor force | age 20-64 (77.5% compared to 80.2%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (63.8% compared to 64.8%, a difference of 1.6%), in labor force | age 20-24 (74.5% compared to 77.0%, a difference of 3.4%), and in labor force | age 35-44 (82.4% compared to 85.2%, a difference of 3.4%).
Nepalese vs Lithuanian Labor Participation
Labor Participation MetricNepaleseLithuanian
In Labor Force | Age > 16
Tragic
63.8%
Poor
64.8%
In Labor Force | Age 20-64
Tragic
77.5%
Exceptional
80.2%
In Labor Force | Age 16-19
Tragic
33.5%
Exceptional
40.4%
In Labor Force | Age 20-24
Poor
74.5%
Exceptional
77.0%
In Labor Force | Age 25-29
Tragic
82.9%
Exceptional
85.8%
In Labor Force | Age 30-34
Tragic
82.7%
Exceptional
85.6%
In Labor Force | Age 35-44
Tragic
82.4%
Exceptional
85.2%
In Labor Force | Age 45-54
Tragic
80.5%
Exceptional
83.6%

Nepalese vs Lithuanian Family Structure

When considering family structure, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in single father households (3.1% compared to 2.1%, a difference of 47.7%), single mother households (7.5% compared to 5.4%, a difference of 37.2%), and family households with children (30.5% compared to 26.6%, a difference of 14.8%). Conversely, both communities are more comparable in terms of family households (67.2% compared to 64.0%, a difference of 4.9%), divorced or separated (12.5% compared to 11.7%, a difference of 6.3%), and married-couple households (45.6% compared to 48.9%, a difference of 7.3%).
Nepalese vs Lithuanian Family Structure
Family Structure MetricNepaleseLithuanian
Family Households
Exceptional
67.2%
Fair
64.0%
Family Households with Children
Exceptional
30.5%
Tragic
26.6%
Married-couple Households
Poor
45.6%
Exceptional
48.9%
Average Family Size
Exceptional
3.42
Tragic
3.10
Single Father Households
Tragic
3.1%
Exceptional
2.1%
Single Mother Households
Tragic
7.5%
Exceptional
5.4%
Currently Married
Tragic
44.7%
Exceptional
49.0%
Divorced or Separated
Tragic
12.5%
Exceptional
11.7%
Births to Unmarried Women
Tragic
33.5%
Exceptional
29.6%

Nepalese vs Lithuanian Vehicle Availability

When considering vehicle availability, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in 4 or more vehicles in household (8.7% compared to 6.3%, a difference of 38.3%), 3 or more vehicles in household (24.9% compared to 20.1%, a difference of 23.8%), and no vehicles in household (7.4% compared to 8.4%, a difference of 14.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.6% compared to 91.7%, a difference of 1.0%), 2 or more vehicles in household (61.4% compared to 58.2%, a difference of 5.5%), and no vehicles in household (7.4% compared to 8.4%, a difference of 14.1%).
Nepalese vs Lithuanian Vehicle Availability
Vehicle Availability MetricNepaleseLithuanian
No Vehicles Available
Exceptional
7.4%
Exceptional
8.4%
1+ Vehicles Available
Exceptional
92.6%
Exceptional
91.7%
2+ Vehicles Available
Exceptional
61.4%
Exceptional
58.2%
3+ Vehicles Available
Exceptional
24.9%
Excellent
20.1%
4+ Vehicles Available
Exceptional
8.7%
Average
6.3%

Nepalese vs Lithuanian Education Level

When considering education level, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in no schooling completed (3.8% compared to 1.4%, a difference of 164.9%), doctorate degree (1.3% compared to 2.3%, a difference of 80.1%), and master's degree (10.5% compared to 17.7%, a difference of 69.5%). Conversely, both communities are more comparable in terms of nursery school (96.2% compared to 98.6%, a difference of 2.5%), kindergarten (96.2% compared to 98.6%, a difference of 2.5%), and 1st grade (96.1% compared to 98.6%, a difference of 2.5%).
Nepalese vs Lithuanian Education Level
Education Level MetricNepaleseLithuanian
No Schooling Completed
Tragic
3.8%
Exceptional
1.4%
Nursery School
Tragic
96.2%
Exceptional
98.6%
Kindergarten
Tragic
96.2%
Exceptional
98.6%
1st Grade
Tragic
96.1%
Exceptional
98.6%
2nd Grade
Tragic
96.1%
Exceptional
98.5%
3rd Grade
Tragic
95.9%
Exceptional
98.5%
4th Grade
Tragic
95.5%
Exceptional
98.3%
5th Grade
Tragic
95.2%
Exceptional
98.2%
6th Grade
Tragic
94.9%
Exceptional
98.1%
7th Grade
Tragic
93.2%
Exceptional
97.5%
8th Grade
Tragic
92.8%
Exceptional
97.3%
9th Grade
Tragic
92.0%
Exceptional
96.6%
10th Grade
Tragic
90.7%
Exceptional
95.8%
11th Grade
Tragic
89.5%
Exceptional
94.8%
12th Grade, No Diploma
Tragic
88.1%
Exceptional
93.6%
High School Diploma
Tragic
85.3%
Exceptional
92.0%
GED/Equivalency
Tragic
81.9%
Exceptional
88.9%
College, Under 1 year
Tragic
62.2%
Exceptional
68.8%
College, 1 year or more
Tragic
54.9%
Exceptional
62.9%
Associate's Degree
Tragic
39.0%
Exceptional
50.6%
Bachelor's Degree
Tragic
29.9%
Exceptional
42.2%
Master's Degree
Tragic
10.5%
Exceptional
17.7%
Professional Degree
Tragic
3.2%
Exceptional
5.4%
Doctorate Degree
Tragic
1.3%
Exceptional
2.3%

Nepalese vs Lithuanian Disability

When considering disability, the most significant differences between Nepalese and Lithuanian communities in the United States are seen in disability age under 5 (0.97% compared to 1.6%, a difference of 60.5%), disability age 65 to 74 (28.0% compared to 21.4%, a difference of 31.0%), and self-care disability (3.0% compared to 2.4%, a difference of 26.0%). Conversely, both communities are more comparable in terms of hearing disability (3.3% compared to 3.4%, a difference of 1.4%), disability age 18 to 34 (7.1% compared to 7.0%, a difference of 2.2%), and male disability (12.2% compared to 11.6%, a difference of 5.0%).
Nepalese vs Lithuanian Disability
Disability MetricNepaleseLithuanian
Disability
Tragic
12.8%
Poor
11.9%
Males
Tragic
12.2%
Tragic
11.6%
Females
Tragic
13.3%
Average
12.2%
Age | Under 5 years
Exceptional
0.97%
Tragic
1.6%
Age | 5 to 17 years
Exceptional
5.3%
Tragic
5.8%
Age | 18 to 34 years
Tragic
7.1%
Tragic
7.0%
Age | 35 to 64 years
Tragic
12.8%
Excellent
10.8%
Age | 65 to 74 years
Tragic
28.0%
Exceptional
21.4%
Age | Over 75 years
Tragic
52.6%
Exceptional
45.1%
Vision
Tragic
2.4%
Exceptional
2.0%
Hearing
Tragic
3.3%
Tragic
3.4%
Cognitive
Tragic
18.0%
Exceptional
16.3%
Ambulatory
Tragic
6.6%
Excellent
6.0%
Self-Care
Tragic
3.0%
Exceptional
2.4%