Lithuanian In Labor Force | Age 30-34

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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)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
In Labor Force | Age 30-34
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Lithuanian In Labor Force | Age 30-34
Exceptional

85.6%
IN LABOR FORCE | AGE 30-34
99.8/ 100
METRIC RATING
49th/ 347
METRIC RANK

Lithuanian In Labor Force | Age 30-34 Correlation Chart

The statistical analysis conducted on geographies consisting of 421,576,687 people shows a mild positive correlation between the proportion of Lithuanians and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.395 and weighted average of 85.6%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.57% in labor force participation rate among population between the ages 30 and 34.
Lithuanian In Labor Force | Age 30-34
It is essential to understand that the correlation between the percentage of Lithuanians and labor force participation rate among population between the ages 30 and 34 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 labor force participation rate among population between the ages 30 and 34 within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 30 and 34 due to other factors.

Demographics Similar to Lithuanians by In Labor Force | Age 30-34

In terms of in labor force | age 30-34, the demographic groups most similar to Lithuanians are Immigrants from Sweden (85.6%, a difference of 0.010%), Immigrants from Australia (85.6%, a difference of 0.010%), Immigrants from Morocco (85.6%, a difference of 0.020%), Croatian (85.6%, a difference of 0.020%), and Immigrants from Nepal (85.6%, a difference of 0.030%).
DemographicsRating | RankIn Labor Force | Age 30-34
Zimbabweans
99.8
/100
|
#42
Exceptional
85.6%
Immigrants from Lithuania
99.8
/100
|
#43
Exceptional
85.6%
Immigrants from Sri Lanka
99.8
/100
|
#44
Exceptional
85.6%
Immigrants from Nepal
99.8
/100
|
#45
Exceptional
85.6%
Immigrants from Morocco
99.8
/100
|
#46
Exceptional
85.6%
Croatians
99.8
/100
|
#47
Exceptional
85.6%
Immigrants from Sweden
99.8
/100
|
#48
Exceptional
85.6%
Lithuanians
99.8
/100
|
#49
Exceptional
85.6%
Immigrants from Australia
99.8
/100
|
#50
Exceptional
85.6%
Cape Verdeans
99.7
/100
|
#51
Exceptional
85.6%
Slovenes
99.7
/100
|
#52
Exceptional
85.6%
Filipinos
99.6
/100
|
#53
Exceptional
85.5%
Immigrants from Kenya
99.6
/100
|
#54
Exceptional
85.5%
Immigrants from Turkey
99.6
/100
|
#55
Exceptional
85.5%
Czechs
99.6
/100
|
#56
Exceptional
85.5%

Lithuanian In Labor Force | Age 30-34 Correlation Summary

Measurement Lithuanian Data In Labor Force | Age 30-34 Data
Minimum 0.087% 59.6%
Maximum 35.0% 100.0%
Range 34.9% 40.4%
Mean 9.1% 87.7%
Median 7.8% 87.1%
Interquartile 25% (IQ1) 3.8% 82.7%
Interquartile 75% (IQ3) 12.3% 100.0%
Interquartile Range (IQR) 8.5% 17.3%
Standard Deviation (Sample) 7.0% 10.1%
Standard Deviation (Population) 7.0% 10.0%

Correlation Details

Lithuanian Percentile Sample Size In Labor Force | Age 30-34
[
0.0%
-
0.5%
]
0.087%
258,916,344 83.9%
[
0.0%
-
0.5%
]
0.27%
88,702,061 85.8%
[
0.0%
-
0.5%
]
0.46%
35,421,878 86.3%
[
0.5%
-
1.0%
]
0.65%
14,690,537 86.6%
[
0.5%
-
1.0%
]
0.84%
8,252,516 86.4%
[
1.0%
-
1.5%
]
1.03%
5,331,022 85.6%
[
1.0%
-
1.5%
]
1.23%
2,641,641 86.9%
[
1.0%
-
1.5%
]
1.41%
1,818,104 86.4%
[
1.5%
-
2.0%
]
1.62%
1,203,095 86.0%
[
1.5%
-
2.0%
]
1.79%
1,029,122 85.8%
[
1.5%
-
2.0%
]
1.99%
738,405 87.3%
[
2.0%
-
2.5%
]
2.19%
678,826 85.0%
[
2.0%
-
2.5%
]
2.37%
530,925 86.1%
[
2.5%
-
3.0%
]
2.53%
314,001 85.8%
[
2.5%
-
3.0%
]
2.76%
276,552 81.1%
[
2.5%
-
3.0%
]
2.93%
90,146 84.0%
[
3.0%
-
3.5%
]
3.16%
81,296 82.4%
[
3.0%
-
3.5%
]
3.32%
95,774 87.5%
[
3.5%
-
4.0%
]
3.52%
134,052 82.3%
[
3.5%
-
4.0%
]
3.70%
56,225 87.1%
[
3.5%
-
4.0%
]
3.86%
23,377 89.0%
[
4.0%
-
4.5%
]
4.12%
79,360 91.0%
[
4.0%
-
4.5%
]
4.27%
82,146 85.8%
[
4.0%
-
4.5%
]
4.46%
39,438 83.7%
[
4.5%
-
5.0%
]
4.63%
49,226 74.1%
[
4.5%
-
5.0%
]
4.81%
15,669 88.3%
[
5.0%
-
5.5%
]
5.01%
71,834 90.2%
[
5.0%
-
5.5%
]
5.23%
17,317 95.8%
[
5.0%
-
5.5%
]
5.44%
7,542 79.2%
[
5.5%
-
6.0%
]
5.65%
7,079 61.5%
[
5.5%
-
6.0%
]
5.76%
8,962 87.1%
[
6.0%
-
6.5%
]
6.09%
5,663 88.7%
[
6.0%
-
6.5%
]
6.38%
10,203 72.2%
[
6.5%
-
7.0%
]
6.51%
9,535 88.3%
[
6.5%
-
7.0%
]
6.71%
3,264 83.0%
[
6.5%
-
7.0%
]
6.94%
2,191 88.7%
[
7.0%
-
7.5%
]
7.12%
6,150 98.2%
[
7.0%
-
7.5%
]
7.28%
6,194 87.5%
[
7.0%
-
7.5%
]
7.45%
2,712 87.8%
[
7.5%
-
8.0%
]
7.66%
3,133 59.6%
[
7.5%
-
8.0%
]
7.94%
2,014 68.9%
[
8.0%
-
8.5%
]
8.03%
7,300 97.3%
[
8.0%
-
8.5%
]
8.17%
1,150 75.1%
[
8.0%
-
8.5%
]
8.46%
7,353 83.0%
[
8.5%
-
9.0%
]
8.62%
441 100.0%
[
8.5%
-
9.0%
]
8.82%
12,683 89.3%
[
9.0%
-
9.5%
]
9.08%
3,834 100.0%
[
9.0%
-
9.5%
]
9.24%
12,486 92.2%
[
9.0%
-
9.5%
]
9.44%
1,028 68.7%
[
9.5%
-
10.0%
]
9.50%
29,088 85.3%
[
9.5%
-
10.0%
]
9.79%
388 75.0%
[
9.5%
-
10.0%
]
9.90%
22,551 81.7%
[
10.0%
-
10.5%
]
10.14%
345 100.0%
[
10.5%
-
11.0%
]
10.56%
161 100.0%
[
10.5%
-
11.0%
]
10.68%
103 100.0%
[
10.5%
-
11.0%
]
10.82%
3,411 74.5%
[
11.0%
-
11.5%
]
11.19%
447 76.5%
[
11.0%
-
11.5%
]
11.26%
3,243 79.9%
[
11.5%
-
12.0%
]
11.90%
420 100.0%
[
12.0%
-
12.5%
]
12.19%
886 67.1%
[
12.0%
-
12.5%
]
12.40%
1,572 77.6%
[
12.5%
-
13.0%
]
12.78%
1,409 100.0%
[
12.5%
-
13.0%
]
12.94%
85 100.0%
[
13.5%
-
14.0%
]
13.71%
875 100.0%
[
14.0%
-
14.5%
]
14.29%
70 100.0%
[
14.0%
-
14.5%
]
14.46%
1,514 71.0%
[
14.5%
-
15.0%
]
14.74%
95 100.0%
[
15.5%
-
16.0%
]
15.53%
1,668 92.7%
[
16.0%
-
16.5%
]
16.04%
804 100.0%
[
16.0%
-
16.5%
]
16.24%
234 100.0%
[
16.5%
-
17.0%
]
16.70%
1,383 100.0%
[
19.5%
-
20.0%
]
19.87%
1,052 91.1%
[
21.0%
-
21.5%
]
21.46%
494 100.0%
[
21.5%
-
22.0%
]
21.99%
141 100.0%
[
22.5%
-
23.0%
]
22.52%
595 77.6%
[
22.5%
-
23.0%
]
22.61%
690 100.0%
[
23.5%
-
24.0%
]
23.64%
110 100.0%
[
24.5%
-
25.0%
]
24.52%
310 100.0%
[
26.5%
-
27.0%
]
26.55%
531 100.0%
[
34.5%
-
35.0%
]
34.95%
206 100.0%