Lithuanian Unemployment Among Ages 55 to 59 years

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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
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Race
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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
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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
Unemployment Among Ages 55 to 59 years
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Lithuanian Unemployment Among Ages 55 to 59 years
Excellent

4.7%
UNEMPLOYMENT | 55 TO 59 YEARS
88.8/ 100
METRIC RATING
124th/ 347
METRIC RANK

Lithuanian Unemployment Among Ages 55 to 59 years Correlation Chart

The statistical analysis conducted on geographies consisting of 386,833,182 people shows a weak positive correlation between the proportion of Lithuanians and unemployment rate among population between the ages 55 and 59 in the United States with a correlation coefficient (R) of 0.294 and weighted average of 4.7%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.41% in unemployment rate among population between the ages 55 and 59.
Lithuanian Unemployment Among Ages 55 to 59 years
It is essential to understand that the correlation between the percentage of Lithuanians and unemployment rate among population between the ages 55 and 59 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 unemployment rate among population between the ages 55 and 59 within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of unemployment rate among population between the ages 55 and 59 due to other factors.

Demographics Similar to Lithuanians by Unemployment Among Ages 55 to 59 years

In terms of unemployment among ages 55 to 59 years, the demographic groups most similar to Lithuanians are Immigrants from Japan (4.7%, a difference of 0.060%), Immigrants from Afghanistan (4.7%, a difference of 0.070%), Pakistani (4.7%, a difference of 0.090%), Immigrants from Malaysia (4.7%, a difference of 0.10%), and Immigrants from South Africa (4.7%, a difference of 0.11%).
DemographicsRating | RankUnemployment Among Ages 55 to 59 years
Asians
90.8
/100
|
#117
Exceptional
4.7%
Immigrants from Chile
90.7
/100
|
#118
Exceptional
4.7%
Whites/Caucasians
90.7
/100
|
#119
Exceptional
4.7%
Immigrants from South Africa
89.9
/100
|
#120
Excellent
4.7%
Pakistanis
89.7
/100
|
#121
Excellent
4.7%
Immigrants from Afghanistan
89.5
/100
|
#122
Excellent
4.7%
Immigrants from Japan
89.4
/100
|
#123
Excellent
4.7%
Lithuanians
88.8
/100
|
#124
Excellent
4.7%
Immigrants from Malaysia
87.9
/100
|
#125
Excellent
4.7%
Immigrants from Serbia
87.8
/100
|
#126
Excellent
4.7%
Icelanders
87.7
/100
|
#127
Excellent
4.7%
Pennsylvania Germans
87.1
/100
|
#128
Excellent
4.7%
Immigrants from Sweden
86.8
/100
|
#129
Excellent
4.7%
Greeks
86.6
/100
|
#130
Excellent
4.7%
Immigrants from Thailand
85.4
/100
|
#131
Excellent
4.7%

Lithuanian Unemployment Among Ages 55 to 59 years Correlation Summary

MeasurementLithuanian DataUnemployment Among Ages 55 to 59 years Data
Minimum0.087%1.8%
Maximum19.9%30.2%
Range19.8%28.4%
Mean5.6%8.2%
Median4.7%6.0%
Interquartile 25% (IQ1)2.3%4.6%
Interquartile 75% (IQ3)7.6%9.7%
Interquartile Range (IQR)5.3%5.1%
Standard Deviation (Sample)4.4%6.1%
Standard Deviation (Population)4.3%6.1%

Correlation Details

Lithuanian PercentileSample SizeUnemployment Among Ages 55 to 59 years
[
0.0%
-
0.5%
]
0.087%
243,043,6754.5%
[
0.0%
-
0.5%
]
0.27%
80,470,0724.6%
[
0.0%
-
0.5%
]
0.46%
31,541,1784.4%
[
0.5%
-
1.0%
]
0.65%
12,471,0794.8%
[
0.5%
-
1.0%
]
0.84%
6,972,9134.9%
[
1.0%
-
1.5%
]
1.03%
4,433,5985.0%
[
1.0%
-
1.5%
]
1.23%
2,167,1885.4%
[
1.0%
-
1.5%
]
1.41%
1,494,7094.5%
[
1.5%
-
2.0%
]
1.62%
940,7906.1%
[
1.5%
-
2.0%
]
1.80%
867,6125.2%
[
1.5%
-
2.0%
]
2.00%
578,9486.0%
[
2.0%
-
2.5%
]
2.20%
552,6124.8%
[
2.0%
-
2.5%
]
2.37%
389,4114.5%
[
2.5%
-
3.0%
]
2.52%
210,8685.1%
[
2.5%
-
3.0%
]
2.77%
177,5624.9%
[
2.5%
-
3.0%
]
2.95%
25,6893.3%
[
3.0%
-
3.5%
]
3.18%
56,1483.9%
[
3.0%
-
3.5%
]
3.29%
42,5686.1%
[
3.5%
-
4.0%
]
3.52%
111,2482.7%
[
3.5%
-
4.0%
]
3.69%
30,7127.4%
[
3.5%
-
4.0%
]
3.82%
8,4016.1%
[
4.0%
-
4.5%
]
4.15%
39,9066.0%
[
4.0%
-
4.5%
]
4.27%
56,9996.8%
[
4.0%
-
4.5%
]
4.47%
7,6658.0%
[
4.5%
-
5.0%
]
4.65%
9,34911.0%
[
4.5%
-
5.0%
]
4.81%
9,55712.0%
[
4.5%
-
5.0%
]
4.99%
44,3664.0%
[
5.0%
-
5.5%
]
5.23%
1,01415.7%
[
5.0%
-
5.5%
]
5.45%
4,40224.5%
[
5.5%
-
6.0%
]
5.66%
5,4786.7%
[
5.5%
-
6.0%
]
5.74%
5,3348.4%
[
6.0%
-
6.5%
]
6.01%
36624.1%
[
6.5%
-
7.0%
]
6.54%
5,4476.3%
[
6.5%
-
7.0%
]
6.80%
2067.4%
[
6.5%
-
7.0%
]
6.85%
62816.0%
[
7.0%
-
7.5%
]
7.29%
4,24011.1%
[
7.0%
-
7.5%
]
7.45%
2,6316.6%
[
7.5%
-
8.0%
]
7.68%
8983.1%
[
8.0%
-
8.5%
]
8.45%
97014.3%
[
8.5%
-
9.0%
]
8.84%
5,9735.7%
[
9.0%
-
9.5%
]
9.09%
15415.0%
[
9.0%
-
9.5%
]
9.28%
6,85712.2%
[
9.0%
-
9.5%
]
9.49%
24,6701.8%
[
9.5%
-
10.0%
]
9.96%
4,1055.9%
[
11.0%
-
11.5%
]
11.26%
22230.2%
[
13.5%
-
14.0%
]
13.71%
87521.1%
[
15.5%
-
16.0%
]
15.54%
1,4542.8%
[
16.5%
-
17.0%
]
16.70%
1,3838.3%
[
19.5%
-
20.0%
]
19.87%
1,0524.1%