Lithuanian vs Zimbabwean Community Comparison

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Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAmericanApacheArabArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYup'ik
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
Zimbabwean
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
Social Comparison
Social Comparison
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Social Comparison

Lithuanians

Zimbabweans

Excellent
Exceptional
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
9,358
SOCIAL INDEX
91.0/ 100
SOCIAL RATING
18th/ 347
SOCIAL RANK

Zimbabwean Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 66,737,979 people shows a substantial positive correlation between the proportion of Zimbabweans within Lithuanian communities in the United States with a correlation coefficient (R) of 0.547. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.168% in Zimbabweans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 167.7 Zimbabweans.
Lithuanian Integration in Zimbabwean Communities

Lithuanian vs Zimbabwean Income

When considering income, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in wage/income gap (28.7% compared to 26.3%, a difference of 9.2%), median male earnings ($61,228 compared to $56,302, a difference of 8.7%), and per capita income ($49,448 compared to $45,804, a difference of 8.0%). Conversely, both communities are more comparable in terms of householder income over 65 years ($65,209 compared to $65,854, a difference of 0.99%), median female earnings ($42,108 compared to $40,798, a difference of 3.2%), and median household income ($93,852 compared to $90,618, a difference of 3.6%).
Lithuanian vs Zimbabwean Income
Income MetricLithuanianZimbabwean
Per Capita Income
Exceptional
$49,448
Exceptional
$45,804
Median Family Income
Exceptional
$115,395
Exceptional
$110,011
Median Household Income
Exceptional
$93,852
Exceptional
$90,618
Median Earnings
Exceptional
$50,991
Exceptional
$48,229
Median Male Earnings
Exceptional
$61,228
Excellent
$56,302
Median Female Earnings
Exceptional
$42,108
Exceptional
$40,798
Householder Age | Under 25 years
Exceptional
$53,552
Tragic
$51,259
Householder Age | 25 - 44 years
Exceptional
$105,223
Exceptional
$98,586
Householder Age | 45 - 64 years
Exceptional
$112,484
Exceptional
$106,849
Householder Age | Over 65 years
Exceptional
$65,209
Exceptional
$65,854
Wage/Income Gap
Tragic
28.7%
Fair
26.3%

Lithuanian vs Zimbabwean Poverty

When considering poverty, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in single father poverty (17.3% compared to 15.6%, a difference of 10.9%), female poverty among 18-24 year olds (18.7% compared to 20.4%, a difference of 9.3%), and family poverty (7.2% compared to 7.8%, a difference of 8.6%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (15.2% compared to 15.2%, a difference of 0.010%), single male poverty (13.0% compared to 13.1%, a difference of 0.62%), and single female poverty (19.2% compared to 19.5%, a difference of 1.6%).
Lithuanian vs Zimbabwean Poverty
Poverty MetricLithuanianZimbabwean
Poverty
Exceptional
10.5%
Exceptional
11.3%
Families
Exceptional
7.2%
Exceptional
7.8%
Males
Exceptional
9.5%
Exceptional
10.2%
Females
Exceptional
11.4%
Exceptional
12.3%
Females 18 to 24 years
Exceptional
18.7%
Fair
20.4%
Females 25 to 34 years
Exceptional
12.2%
Exceptional
11.7%
Children Under 5 years
Exceptional
15.2%
Exceptional
15.2%
Children Under 16 years
Exceptional
13.5%
Exceptional
14.2%
Boys Under 16 years
Exceptional
14.0%
Exceptional
14.3%
Girls Under 16 years
Exceptional
13.9%
Exceptional
14.4%
Single Males
Fair
13.0%
Poor
13.1%
Single Females
Exceptional
19.2%
Exceptional
19.5%
Single Fathers
Tragic
17.3%
Exceptional
15.6%
Single Mothers
Exceptional
27.4%
Exceptional
27.9%
Married Couples
Exceptional
4.0%
Exceptional
4.1%
Seniors Over 65 years
Exceptional
9.1%
Exceptional
9.6%
Seniors Over 75 years
Exceptional
10.6%
Exceptional
11.2%
Receiving Food Stamps
Exceptional
9.7%
Exceptional
9.5%

Lithuanian vs Zimbabwean Unemployment

When considering unemployment, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in unemployment among seniors over 75 years (9.9% compared to 8.7%, a difference of 13.3%), unemployment among ages 55 to 59 years (4.7% compared to 4.2%, a difference of 11.5%), and unemployment among ages 30 to 34 years (5.4% compared to 4.8%, a difference of 11.1%). Conversely, both communities are more comparable in terms of unemployment (4.8% compared to 4.8%, a difference of 0.75%), female unemployment (4.7% compared to 4.8%, a difference of 0.96%), and unemployment among ages 45 to 54 years (4.3% compared to 4.2%, a difference of 1.6%).
Lithuanian vs Zimbabwean Unemployment
Unemployment MetricLithuanianZimbabwean
Unemployment
Exceptional
4.8%
Exceptional
4.8%
Males
Exceptional
5.0%
Exceptional
4.8%
Females
Exceptional
4.7%
Exceptional
4.8%
Youth < 25
Exceptional
11.3%
Exceptional
10.2%
Age | 16 to 19 years
Exceptional
16.7%
Exceptional
15.4%
Age | 20 to 24 years
Good
10.2%
Exceptional
9.2%
Age | 25 to 29 years
Good
6.5%
Exceptional
6.4%
Age | 30 to 34 years
Good
5.4%
Exceptional
4.8%
Age | 35 to 44 years
Exceptional
4.4%
Exceptional
4.3%
Age | 45 to 54 years
Exceptional
4.3%
Exceptional
4.2%
Age | 55 to 59 years
Excellent
4.7%
Exceptional
4.2%
Age | 60 to 64 years
Excellent
4.8%
Exceptional
4.5%
Age | 65 to 74 years
Fair
5.4%
Tragic
5.9%
Seniors > 65
Average
5.1%
Tragic
5.6%
Seniors > 75
Tragic
9.9%
Average
8.7%
Women w/ Children < 6
Fair
7.8%
Exceptional
7.3%
Women w/ Children 6 to 17
Tragic
9.4%
Exceptional
8.6%
Women w/ Children < 18
Exceptional
5.0%
Exceptional
5.1%

Lithuanian vs Zimbabwean Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 38.7%, a difference of 4.4%), in labor force | age > 16 (64.8% compared to 67.3%, a difference of 3.8%), and in labor force | age 20-24 (77.0% compared to 75.6%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.6% compared to 85.6%, a difference of 0.070%), in labor force | age 45-54 (83.6% compared to 84.0%, a difference of 0.50%), and in labor force | age 20-64 (80.2% compared to 81.0%, a difference of 0.88%).
Lithuanian vs Zimbabwean Labor Participation
Labor Participation MetricLithuanianZimbabwean
In Labor Force | Age > 16
Poor
64.8%
Exceptional
67.3%
In Labor Force | Age 20-64
Exceptional
80.2%
Exceptional
81.0%
In Labor Force | Age 16-19
Exceptional
40.4%
Exceptional
38.7%
In Labor Force | Age 20-24
Exceptional
77.0%
Excellent
75.6%
In Labor Force | Age 25-29
Exceptional
85.8%
Fair
84.5%
In Labor Force | Age 30-34
Exceptional
85.6%
Exceptional
85.6%
In Labor Force | Age 35-44
Exceptional
85.2%
Exceptional
86.1%
In Labor Force | Age 45-54
Exceptional
83.6%
Exceptional
84.0%

Lithuanian vs Zimbabwean Family Structure

When considering family structure, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in single mother households (5.4% compared to 6.1%, a difference of 11.6%), family households with children (26.6% compared to 27.9%, a difference of 5.0%), and single father households (2.1% compared to 2.2%, a difference of 4.7%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 64.1%, a difference of 0.020%), divorced or separated (11.7% compared to 11.6%, a difference of 1.4%), and births to unmarried women (29.6% compared to 28.7%, a difference of 3.0%).
Lithuanian vs Zimbabwean Family Structure
Family Structure MetricLithuanianZimbabwean
Family Households
Fair
64.0%
Fair
64.1%
Family Households with Children
Tragic
26.6%
Exceptional
27.9%
Married-couple Households
Exceptional
48.9%
Excellent
47.4%
Average Family Size
Tragic
3.10
Poor
3.20
Single Father Households
Exceptional
2.1%
Exceptional
2.2%
Single Mother Households
Exceptional
5.4%
Excellent
6.1%
Currently Married
Exceptional
49.0%
Good
47.0%
Divorced or Separated
Exceptional
11.7%
Exceptional
11.6%
Births to Unmarried Women
Exceptional
29.6%
Exceptional
28.7%

Lithuanian vs Zimbabwean Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in no vehicles in household (8.4% compared to 9.0%, a difference of 7.2%), 4 or more vehicles in household (6.3% compared to 6.4%, a difference of 1.8%), and 2 or more vehicles in household (58.2% compared to 57.2%, a difference of 1.7%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (20.1% compared to 20.3%, a difference of 0.68%), 1 or more vehicles in household (91.7% compared to 91.0%, a difference of 0.76%), and 2 or more vehicles in household (58.2% compared to 57.2%, a difference of 1.7%).
Lithuanian vs Zimbabwean Vehicle Availability
Vehicle Availability MetricLithuanianZimbabwean
No Vehicles Available
Exceptional
8.4%
Exceptional
9.0%
1+ Vehicles Available
Exceptional
91.7%
Exceptional
91.0%
2+ Vehicles Available
Exceptional
58.2%
Exceptional
57.2%
3+ Vehicles Available
Excellent
20.1%
Excellent
20.3%
4+ Vehicles Available
Average
6.3%
Good
6.4%

Lithuanian vs Zimbabwean Education Level

When considering education level, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in no schooling completed (1.4% compared to 1.7%, a difference of 20.3%), professional degree (5.4% compared to 5.2%, a difference of 3.5%), and bachelor's degree (42.2% compared to 43.3%, a difference of 2.5%). Conversely, both communities are more comparable in terms of master's degree (17.7% compared to 17.7%, a difference of 0.11%), nursery school (98.6% compared to 98.3%, a difference of 0.33%), and kindergarten (98.6% compared to 98.3%, a difference of 0.33%).
Lithuanian vs Zimbabwean Education Level
Education Level MetricLithuanianZimbabwean
No Schooling Completed
Exceptional
1.4%
Exceptional
1.7%
Nursery School
Exceptional
98.6%
Exceptional
98.3%
Kindergarten
Exceptional
98.6%
Exceptional
98.3%
1st Grade
Exceptional
98.6%
Exceptional
98.3%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.5%
Exceptional
98.1%
4th Grade
Exceptional
98.3%
Exceptional
97.9%
5th Grade
Exceptional
98.2%
Exceptional
97.8%
6th Grade
Exceptional
98.1%
Exceptional
97.6%
7th Grade
Exceptional
97.5%
Exceptional
96.8%
8th Grade
Exceptional
97.3%
Exceptional
96.5%
9th Grade
Exceptional
96.6%
Exceptional
95.9%
10th Grade
Exceptional
95.8%
Exceptional
94.9%
11th Grade
Exceptional
94.8%
Exceptional
93.9%
12th Grade, No Diploma
Exceptional
93.6%
Exceptional
92.7%
High School Diploma
Exceptional
92.0%
Exceptional
91.1%
GED/Equivalency
Exceptional
88.9%
Exceptional
88.0%
College, Under 1 year
Exceptional
68.8%
Exceptional
69.9%
College, 1 year or more
Exceptional
62.9%
Exceptional
64.2%
Associate's Degree
Exceptional
50.6%
Exceptional
51.3%
Bachelor's Degree
Exceptional
42.2%
Exceptional
43.3%
Master's Degree
Exceptional
17.7%
Exceptional
17.7%
Professional Degree
Exceptional
5.4%
Exceptional
5.2%
Doctorate Degree
Exceptional
2.3%
Exceptional
2.3%

Lithuanian vs Zimbabwean Disability

When considering disability, the most significant differences between Lithuanian and Zimbabwean communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 32.7%), hearing disability (3.4% compared to 2.8%, a difference of 17.9%), and ambulatory disability (6.0% compared to 5.4%, a difference of 11.2%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (21.4% compared to 21.5%, a difference of 0.76%), disability age 35 to 64 (10.8% compared to 10.4%, a difference of 3.4%), and vision disability (2.0% compared to 2.0%, a difference of 3.9%).
Lithuanian vs Zimbabwean Disability
Disability MetricLithuanianZimbabwean
Disability
Poor
11.9%
Exceptional
10.9%
Males
Tragic
11.6%
Exceptional
10.6%
Females
Average
12.2%
Exceptional
11.3%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.2%
Age | 5 to 17 years
Tragic
5.8%
Good
5.5%
Age | 18 to 34 years
Tragic
7.0%
Good
6.5%
Age | 35 to 64 years
Excellent
10.8%
Exceptional
10.4%
Age | 65 to 74 years
Exceptional
21.4%
Exceptional
21.5%
Age | Over 75 years
Exceptional
45.1%
Tragic
48.1%
Vision
Exceptional
2.0%
Exceptional
2.0%
Hearing
Tragic
3.4%
Excellent
2.8%
Cognitive
Exceptional
16.3%
Tragic
17.6%
Ambulatory
Excellent
6.0%
Exceptional
5.4%
Self-Care
Exceptional
2.4%
Exceptional
2.2%