Lithuanian Female Poverty

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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 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
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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
Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Lithuanian Female Poverty
Exceptional

11.4%
POVERTY | FEMALES
99.8/ 100
METRIC RATING
14th/ 347
METRIC RANK

Lithuanian Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 421,598,229 people shows no correlation between the proportion of Lithuanians and poverty level among females in the United States with a correlation coefficient (R) of -0.034 and weighted average of 11.4%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is a decrease of 0.029% in poverty level among females.
Lithuanian Female Poverty
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Lithuanians influences an upward or downward trend in the level of poverty level among females within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Lithuanians by Female Poverty

In terms of female poverty, the demographic groups most similar to Lithuanians are Latvian (11.4%, a difference of 0.32%), Immigrants from Bolivia (11.5%, a difference of 0.80%), Bolivian (11.5%, a difference of 0.87%), Immigrants from Scotland (11.5%, a difference of 0.92%), and Immigrants from Lithuania (11.3%, a difference of 0.96%).
DemographicsRating | RankFemale Poverty
Assyrians/Chaldeans/Syriacs
99.9
/100
|
#7
Exceptional
11.0%
Immigrants from South Central Asia
99.9
/100
|
#8
Exceptional
11.1%
Bulgarians
99.9
/100
|
#9
Exceptional
11.1%
Immigrants from Hong Kong
99.9
/100
|
#10
Exceptional
11.2%
Maltese
99.9
/100
|
#11
Exceptional
11.2%
Bhutanese
99.9
/100
|
#12
Exceptional
11.3%
Immigrants from Lithuania
99.9
/100
|
#13
Exceptional
11.3%
Lithuanians
99.8
/100
|
#14
Exceptional
11.4%
Latvians
99.8
/100
|
#15
Exceptional
11.4%
Immigrants from Bolivia
99.8
/100
|
#16
Exceptional
11.5%
Bolivians
99.8
/100
|
#17
Exceptional
11.5%
Immigrants from Scotland
99.8
/100
|
#18
Exceptional
11.5%
Norwegians
99.8
/100
|
#19
Exceptional
11.5%
Eastern Europeans
99.7
/100
|
#20
Exceptional
11.5%
Italians
99.7
/100
|
#21
Exceptional
11.6%

Lithuanian Female Poverty Correlation Summary

MeasurementLithuanian DataFemale Poverty Data
Minimum0.087%1.0%
Maximum26.8%27.5%
Range26.7%26.5%
Mean8.8%11.1%
Median7.4%9.8%
Interquartile 25% (IQ1)3.7%8.2%
Interquartile 75% (IQ3)11.9%13.5%
Interquartile Range (IQR)8.2%5.2%
Standard Deviation (Sample)6.7%5.7%
Standard Deviation (Population)6.7%5.6%

Correlation Details

Lithuanian PercentileSample SizeFemale Poverty
[
0.0%
-
0.5%
]
0.087%
258,909,05814.7%
[
0.0%
-
0.5%
]
0.27%
88,674,86711.9%
[
0.0%
-
0.5%
]
0.46%
35,419,85610.3%
[
0.5%
-
1.0%
]
0.65%
14,688,2479.8%
[
0.5%
-
1.0%
]
0.84%
8,284,3289.7%
[
1.0%
-
1.5%
]
1.03%
5,335,7569.8%
[
1.0%
-
1.5%
]
1.23%
2,645,3938.5%
[
1.0%
-
1.5%
]
1.41%
1,818,1369.2%
[
1.5%
-
2.0%
]
1.62%
1,201,57610.7%
[
1.5%
-
2.0%
]
1.79%
1,034,3758.3%
[
1.5%
-
2.0%
]
1.99%
739,2779.2%
[
2.0%
-
2.5%
]
2.19%
677,7128.2%
[
2.0%
-
2.5%
]
2.37%
531,81410.5%
[
2.5%
-
3.0%
]
2.53%
313,3829.5%
[
2.5%
-
3.0%
]
2.76%
278,74112.0%
[
2.5%
-
3.0%
]
2.93%
89,5148.6%
[
3.0%
-
3.5%
]
3.16%
81,44813.1%
[
3.0%
-
3.5%
]
3.32%
94,0729.4%
[
3.5%
-
4.0%
]
3.52%
136,19211.6%
[
3.5%
-
4.0%
]
3.69%
53,72718.1%
[
3.5%
-
4.0%
]
3.87%
23,0517.6%
[
4.0%
-
4.5%
]
4.13%
77,2358.2%
[
4.0%
-
4.5%
]
4.27%
81,0847.9%
[
4.0%
-
4.5%
]
4.46%
36,5238.9%
[
4.5%
-
5.0%
]
4.63%
49,50810.2%
[
4.5%
-
5.0%
]
4.81%
16,29120.4%
[
5.0%
-
5.5%
]
5.01%
73,1548.8%
[
5.0%
-
5.5%
]
5.22%
17,21414.6%
[
5.0%
-
5.5%
]
5.44%
7,55510.9%
[
5.5%
-
6.0%
]
5.64%
7,40718.5%
[
5.5%
-
6.0%
]
5.75%
8,49812.2%
[
5.5%
-
6.0%
]
5.95%
23,65727.5%
[
6.0%
-
6.5%
]
6.09%
5,87710.1%
[
6.0%
-
6.5%
]
6.38%
10,2038.6%
[
6.5%
-
7.0%
]
6.51%
10,23820.8%
[
6.5%
-
7.0%
]
6.71%
3,2649.7%
[
6.5%
-
7.0%
]
6.94%
1,51310.5%
[
7.0%
-
7.5%
]
7.13%
5,63818.0%
[
7.0%
-
7.5%
]
7.28%
6,34310.0%
[
7.0%
-
7.5%
]
7.45%
2,6316.4%
[
7.5%
-
8.0%
]
7.65%
3,48813.7%
[
7.5%
-
8.0%
]
7.94%
2,0142.2%
[
8.0%
-
8.5%
]
8.03%
7,3005.9%
[
8.0%
-
8.5%
]
8.18%
1,39411.8%
[
8.0%
-
8.5%
]
8.46%
7,35310.3%
[
8.5%
-
9.0%
]
8.62%
4412.5%
[
8.5%
-
9.0%
]
8.82%
13,17920.4%
[
9.0%
-
9.5%
]
9.08%
3,6803.2%
[
9.0%
-
9.5%
]
9.24%
12,4865.3%
[
9.0%
-
9.5%
]
9.44%
1,0281.3%
[
9.5%
-
10.0%
]
9.50%
28,5663.6%
[
9.5%
-
10.0%
]
9.79%
38821.1%
[
9.5%
-
10.0%
]
9.90%
22,5517.8%
[
10.0%
-
10.5%
]
10.14%
34520.2%
[
10.5%
-
11.0%
]
10.56%
1618.6%
[
10.5%
-
11.0%
]
10.68%
1039.7%
[
10.5%
-
11.0%
]
10.82%
3,41123.2%
[
11.0%
-
11.5%
]
11.19%
44713.5%
[
11.0%
-
11.5%
]
11.26%
2,94019.6%
[
11.5%
-
12.0%
]
11.88%
20213.5%
[
12.0%
-
12.5%
]
12.19%
88621.6%
[
12.0%
-
12.5%
]
12.40%
1,57211.7%
[
12.5%
-
13.0%
]
12.54%
2951.4%
[
14.0%
-
14.5%
]
14.29%
1616.1%
[
14.0%
-
14.5%
]
14.46%
1,51419.5%
[
15.5%
-
16.0%
]
15.53%
1,6689.0%
[
15.5%
-
16.0%
]
15.60%
3275.8%
[
16.0%
-
16.5%
]
16.04%
80411.5%
[
16.0%
-
16.5%
]
16.24%
23411.9%
[
16.5%
-
17.0%
]
16.70%
1,3831.0%
[
19.5%
-
20.0%
]
19.87%
1,05211.3%
[
20.5%
-
21.0%
]
20.69%
1458.9%
[
21.0%
-
21.5%
]
21.46%
49425.2%
[
21.5%
-
22.0%
]
21.99%
14118.3%
[
22.5%
-
23.0%
]
22.52%
5952.9%
[
23.5%
-
24.0%
]
23.64%
1109.3%
[
25.5%
-
26.0%
]
25.60%
2508.7%
[
26.5%
-
27.0%
]
26.55%
5317.5%
[
26.5%
-
27.0%
]
26.81%
2357.0%