Lithuanian vs Pima Community Comparison

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Lithuanian
Race
Ancestry
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian/Chaldean/SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian/ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto 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
Pima
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

Pima

Excellent
Poor
8,827
SOCIAL INDEX
85.7/ 100
SOCIAL RATING
46th/ 347
SOCIAL RANK
1,700
SOCIAL INDEX
14.5/ 100
SOCIAL RATING
291st/ 347
SOCIAL RANK

Pima Integration in Lithuanian Communities

The statistical analysis conducted on geographies consisting of 57,949,156 people shows a mild positive correlation between the proportion of Pima within Lithuanian communities in the United States with a correlation coefficient (R) of 0.360. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.994% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Lithuanians corresponds to an increase of 993.7 Pima.
Lithuanian Integration in Pima Communities

Lithuanian vs Pima Income

When considering income, the most significant differences between Lithuanian and Pima communities in the United States are seen in per capita income ($49,448 compared to $30,644, a difference of 61.4%), householder income ages 45 - 64 years ($112,484 compared to $73,365, a difference of 53.3%), and median family income ($115,395 compared to $77,431, a difference of 49.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,552 compared to $51,503, a difference of 4.0%), median female earnings ($42,108 compared to $35,326, a difference of 19.2%), and householder income ages 25 - 44 years ($105,223 compared to $82,821, a difference of 27.1%).
Lithuanian vs Pima Income
Income MetricLithuanianPima
Per Capita Income
Exceptional
$49,448
Tragic
$30,644
Median Family Income
Exceptional
$115,395
Tragic
$77,431
Median Household Income
Exceptional
$93,852
Tragic
$63,262
Median Earnings
Exceptional
$50,991
Tragic
$38,285
Median Male Earnings
Exceptional
$61,228
Tragic
$42,357
Median Female Earnings
Exceptional
$42,108
Tragic
$35,326
Householder Age | Under 25 years
Exceptional
$53,552
Poor
$51,503
Householder Age | 25 - 44 years
Exceptional
$105,223
Tragic
$82,821
Householder Age | 45 - 64 years
Exceptional
$112,484
Tragic
$73,365
Householder Age | Over 65 years
Exceptional
$65,209
Tragic
$50,539
Wage/Income Gap
Tragic
28.7%
Exceptional
21.1%

Lithuanian vs Pima Poverty

When considering poverty, the most significant differences between Lithuanian and Pima communities in the United States are seen in married-couple family poverty (4.0% compared to 11.4%, a difference of 188.1%), family poverty (7.2% compared to 18.4%, a difference of 155.6%), and seniors poverty over the age of 75 (10.6% compared to 23.9%, a difference of 125.6%). Conversely, both communities are more comparable in terms of single father poverty (17.3% compared to 14.8%, a difference of 17.1%), single mother poverty (27.4% compared to 38.6%, a difference of 40.9%), and female poverty among 18-24 year olds (18.7% compared to 28.4%, a difference of 52.0%).
Lithuanian vs Pima Poverty
Poverty MetricLithuanianPima
Poverty
Exceptional
10.5%
Tragic
21.9%
Families
Exceptional
7.2%
Tragic
18.4%
Males
Exceptional
9.5%
Tragic
20.4%
Females
Exceptional
11.4%
Tragic
23.6%
Females 18 to 24 years
Exceptional
18.7%
Tragic
28.4%
Females 25 to 34 years
Exceptional
12.2%
Tragic
25.3%
Children Under 5 years
Exceptional
15.2%
Tragic
27.4%
Children Under 16 years
Exceptional
13.5%
Tragic
29.0%
Boys Under 16 years
Exceptional
14.0%
Tragic
29.7%
Girls Under 16 years
Exceptional
13.9%
Tragic
28.2%
Single Males
Fair
13.0%
Tragic
20.2%
Single Females
Exceptional
19.2%
Tragic
30.3%
Single Fathers
Tragic
17.3%
Exceptional
14.8%
Single Mothers
Exceptional
27.4%
Tragic
38.6%
Married Couples
Exceptional
4.0%
Tragic
11.4%
Seniors Over 65 years
Exceptional
9.1%
Tragic
19.8%
Seniors Over 75 years
Exceptional
10.6%
Tragic
23.9%
Receiving Food Stamps
Exceptional
9.7%
Tragic
19.0%

Lithuanian vs Pima Unemployment

When considering unemployment, the most significant differences between Lithuanian and Pima communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 11.8%, a difference of 166.4%), unemployment among women with children under 18 years (5.0% compared to 11.7%, a difference of 131.6%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 18.9%, a difference of 100.1%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.32%), unemployment among seniors over 75 years (9.9% compared to 9.2%, a difference of 7.2%), and unemployment among seniors over 65 years (5.1% compared to 6.3%, a difference of 22.1%).
Lithuanian vs Pima Unemployment
Unemployment MetricLithuanianPima
Unemployment
Exceptional
4.8%
Tragic
8.2%
Males
Exceptional
5.0%
Tragic
8.3%
Females
Exceptional
4.7%
Tragic
9.3%
Youth < 25
Exceptional
11.3%
Tragic
16.2%
Age | 16 to 19 years
Exceptional
16.7%
Tragic
23.1%
Age | 20 to 24 years
Good
10.2%
Tragic
14.2%
Age | 25 to 29 years
Good
6.5%
Tragic
11.8%
Age | 30 to 34 years
Good
5.4%
Tragic
9.6%
Age | 35 to 44 years
Exceptional
4.4%
Tragic
11.8%
Age | 45 to 54 years
Exceptional
4.3%
Tragic
6.4%
Age | 55 to 59 years
Excellent
4.7%
Tragic
6.6%
Age | 60 to 64 years
Excellent
4.8%
Excellent
4.8%
Age | 65 to 74 years
Fair
5.4%
Tragic
6.6%
Seniors > 65
Average
5.1%
Tragic
6.3%
Seniors > 75
Tragic
9.9%
Tragic
9.2%
Women w/ Children < 6
Fair
7.8%
Tragic
13.4%
Women w/ Children 6 to 17
Tragic
9.4%
Tragic
18.9%
Women w/ Children < 18
Exceptional
5.0%
Tragic
11.7%

Lithuanian vs Pima Labor Participation

When considering labor participation, the most significant differences between Lithuanian and Pima communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 34.1%, a difference of 18.6%), in labor force | age 20-64 (80.2% compared to 69.0%, a difference of 16.2%), and in labor force | age 25-29 (85.8% compared to 74.3%, a difference of 15.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.6% compared to 79.0%, a difference of 8.3%), in labor force | age 20-24 (77.0% compared to 69.0%, a difference of 11.5%), and in labor force | age > 16 (64.8% compared to 57.4%, a difference of 12.9%).
Lithuanian vs Pima Labor Participation
Labor Participation MetricLithuanianPima
In Labor Force | Age > 16
Poor
64.8%
Tragic
57.4%
In Labor Force | Age 20-64
Exceptional
80.2%
Tragic
69.0%
In Labor Force | Age 16-19
Exceptional
40.4%
Tragic
34.1%
In Labor Force | Age 20-24
Exceptional
77.0%
Tragic
69.0%
In Labor Force | Age 25-29
Exceptional
85.8%
Tragic
74.3%
In Labor Force | Age 30-34
Exceptional
85.6%
Tragic
79.0%
In Labor Force | Age 35-44
Exceptional
85.2%
Tragic
74.8%
In Labor Force | Age 45-54
Exceptional
83.6%
Tragic
72.8%

Lithuanian vs Pima Family Structure

When considering family structure, the most significant differences between Lithuanian and Pima communities in the United States are seen in single father households (2.1% compared to 4.2%, a difference of 97.9%), births to unmarried women (29.6% compared to 51.5%, a difference of 74.2%), and single mother households (5.4% compared to 8.3%, a difference of 52.3%). Conversely, both communities are more comparable in terms of family households with children (26.6% compared to 27.1%, a difference of 2.0%), family households (64.0% compared to 65.9%, a difference of 2.9%), and divorced or separated (11.7% compared to 12.9%, a difference of 9.8%).
Lithuanian vs Pima Family Structure
Family Structure MetricLithuanianPima
Family Households
Fair
64.0%
Exceptional
65.9%
Family Households with Children
Tragic
26.6%
Tragic
27.1%
Married-couple Households
Exceptional
48.9%
Tragic
35.6%
Average Family Size
Tragic
3.10
Exceptional
3.75
Single Father Households
Exceptional
2.1%
Tragic
4.2%
Single Mother Households
Exceptional
5.4%
Tragic
8.3%
Currently Married
Exceptional
49.0%
Tragic
35.9%
Divorced or Separated
Exceptional
11.7%
Tragic
12.9%
Births to Unmarried Women
Exceptional
29.6%
Tragic
51.5%

Lithuanian vs Pima Vehicle Availability

When considering vehicle availability, the most significant differences between Lithuanian and Pima communities in the United States are seen in no vehicles in household (8.4% compared to 14.1%, a difference of 67.5%), 4 or more vehicles in household (6.3% compared to 7.9%, a difference of 24.4%), and 2 or more vehicles in household (58.2% compared to 52.0%, a difference of 12.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.7% compared to 86.3%, a difference of 6.3%), 3 or more vehicles in household (20.1% compared to 22.0%, a difference of 9.5%), and 2 or more vehicles in household (58.2% compared to 52.0%, a difference of 12.0%).
Lithuanian vs Pima Vehicle Availability
Vehicle Availability MetricLithuanianPima
No Vehicles Available
Exceptional
8.4%
Tragic
14.1%
1+ Vehicles Available
Exceptional
91.7%
Tragic
86.3%
2+ Vehicles Available
Exceptional
58.2%
Tragic
52.0%
3+ Vehicles Available
Excellent
20.1%
Exceptional
22.0%
4+ Vehicles Available
Average
6.3%
Exceptional
7.9%

Lithuanian vs Pima Education Level

When considering education level, the most significant differences between Lithuanian and Pima communities in the United States are seen in master's degree (17.7% compared to 9.2%, a difference of 91.8%), bachelor's degree (42.2% compared to 23.2%, a difference of 82.1%), and doctorate degree (2.3% compared to 1.3%, a difference of 71.2%). Conversely, both communities are more comparable in terms of kindergarten (98.6% compared to 98.2%, a difference of 0.39%), 1st grade (98.6% compared to 98.2%, a difference of 0.39%), and nursery school (98.6% compared to 98.2%, a difference of 0.40%).
Lithuanian vs Pima Education Level
Education Level MetricLithuanianPima
No Schooling Completed
Exceptional
1.4%
Average
2.1%
Nursery School
Exceptional
98.6%
Exceptional
98.2%
Kindergarten
Exceptional
98.6%
Exceptional
98.2%
1st Grade
Exceptional
98.6%
Exceptional
98.2%
2nd Grade
Exceptional
98.5%
Exceptional
98.2%
3rd Grade
Exceptional
98.5%
Exceptional
98.0%
4th Grade
Exceptional
98.3%
Exceptional
97.7%
5th Grade
Exceptional
98.2%
Exceptional
97.6%
6th Grade
Exceptional
98.1%
Excellent
97.2%
7th Grade
Exceptional
97.5%
Good
96.1%
8th Grade
Exceptional
97.3%
Fair
95.6%
9th Grade
Exceptional
96.6%
Tragic
93.9%
10th Grade
Exceptional
95.8%
Tragic
91.2%
11th Grade
Exceptional
94.8%
Tragic
88.3%
12th Grade, No Diploma
Exceptional
93.6%
Tragic
84.6%
High School Diploma
Exceptional
92.0%
Tragic
81.6%
GED/Equivalency
Exceptional
88.9%
Tragic
76.4%
College, Under 1 year
Exceptional
68.8%
Tragic
51.4%
College, 1 year or more
Exceptional
62.9%
Tragic
45.6%
Associate's Degree
Exceptional
50.6%
Tragic
30.2%
Bachelor's Degree
Exceptional
42.2%
Tragic
23.2%
Master's Degree
Exceptional
17.7%
Tragic
9.2%
Professional Degree
Exceptional
5.4%
Tragic
3.3%
Doctorate Degree
Exceptional
2.3%
Tragic
1.3%

Lithuanian vs Pima Disability

When considering disability, the most significant differences between Lithuanian and Pima communities in the United States are seen in disability age 65 to 74 (21.4% compared to 38.6%, a difference of 80.5%), vision disability (2.0% compared to 3.3%, a difference of 63.4%), and disability age 35 to 64 (10.8% compared to 16.1%, a difference of 49.4%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 6.2%, a difference of 6.8%), male disability (11.6% compared to 12.8%, a difference of 10.3%), and hearing disability (3.4% compared to 3.7%, a difference of 10.8%).
Lithuanian vs Pima Disability
Disability MetricLithuanianPima
Disability
Poor
11.9%
Tragic
13.7%
Males
Tragic
11.6%
Tragic
12.8%
Females
Average
12.2%
Tragic
14.8%
Age | Under 5 years
Tragic
1.6%
Exceptional
1.1%
Age | 5 to 17 years
Tragic
5.8%
Tragic
6.2%
Age | 18 to 34 years
Tragic
7.0%
Tragic
7.7%
Age | 35 to 64 years
Excellent
10.8%
Tragic
16.1%
Age | 65 to 74 years
Exceptional
21.4%
Tragic
38.6%
Age | Over 75 years
Exceptional
45.1%
Tragic
55.8%
Vision
Exceptional
2.0%
Tragic
3.3%
Hearing
Tragic
3.4%
Tragic
3.7%
Cognitive
Exceptional
16.3%
Tragic
18.8%
Ambulatory
Excellent
6.0%
Tragic
8.2%
Self-Care
Exceptional
2.4%
Tragic
2.8%