Lithuanian Unemployment Among Ages 30 to 34 years
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Unemployment Among Ages 30 to 34 years
Lithuanian Unemployment Among Ages 30 to 34 years
5.4%
UNEMPLOYMENT | 30 TO 34 YEARS
72.4/ 100
METRIC RATING
139th/ 347
METRIC RANK
Lithuanian Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 389,471,500 people shows a mild positive correlation between the proportion of Lithuanians and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.343 and weighted average of 5.4%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.90% in unemployment rate among population between the ages 30 and 34.
It is essential to understand that the correlation between the percentage of Lithuanians and unemployment 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 unemployment 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 unemployment rate among population between the ages 30 and 34 due to other factors.
Demographics Similar to Lithuanians by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Lithuanians are Immigrants from North America (5.4%, a difference of 0.020%), Immigrants from Europe (5.4%, a difference of 0.030%), Immigrants from Greece (5.4%, a difference of 0.030%), Serbian (5.4%, a difference of 0.050%), and Russian (5.4%, a difference of 0.11%).
| Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
| Carpatho Rusyns | 77.3 /100 | #132 | Good 5.3% |
| Immigrants from Northern Europe | 77.3 /100 | #133 | Good 5.3% |
| Bangladeshis | 76.6 /100 | #134 | Good 5.3% |
| Palestinians | 75.1 /100 | #135 | Good 5.4% |
| Pakistanis | 74.6 /100 | #136 | Good 5.4% |
| Immigrants from Canada | 74.6 /100 | #137 | Good 5.4% |
| Serbians | 72.9 /100 | #138 | Good 5.4% |
| Lithuanians | 72.4 /100 | #139 | Good 5.4% |
| Immigrants from North America | 72.2 /100 | #140 | Good 5.4% |
| Immigrants from Europe | 72.1 /100 | #141 | Good 5.4% |
| Immigrants from Greece | 72.0 /100 | #142 | Good 5.4% |
| Russians | 71.1 /100 | #143 | Good 5.4% |
| Immigrants from Russia | 71.0 /100 | #144 | Good 5.4% |
| Syrians | 70.3 /100 | #145 | Good 5.4% |
| Celtics | 70.2 /100 | #146 | Good 5.4% |
Lithuanian Unemployment Among Ages 30 to 34 years Correlation Summary
| Measurement | Lithuanian Data | Unemployment Among Ages 30 to 34 years Data |
| Minimum | 0.086% | 1.7% |
| Maximum | 19.9% | 55.4% |
| Range | 19.8% | 53.7% |
| Mean | 6.1% | 12.7% |
| Median | 5.4% | 7.7% |
| Interquartile 25% (IQ1) | 2.6% | 5.7% |
| Interquartile 75% (IQ3) | 8.6% | 16.3% |
| Interquartile Range (IQR) | 6.0% | 10.7% |
| Standard Deviation (Sample) | 4.3% | 11.4% |
| Standard Deviation (Population) | 4.3% | 11.3% |
Correlation Details
| Lithuanian Percentile | Sample Size | Unemployment Among Ages 30 to 34 years |
[ 0.0% - 0.5% ] 0.086% | 247,536,842 | 5.5% |
[ 0.0% - 0.5% ] 0.27% | 80,316,381 | 5.0% |
[ 0.0% - 0.5% ] 0.46% | 31,019,485 | 4.9% |
[ 0.5% - 1.0% ] 0.65% | 12,178,074 | 4.6% |
[ 0.5% - 1.0% ] 0.84% | 6,702,321 | 5.1% |
[ 1.0% - 1.5% ] 1.03% | 4,218,519 | 5.0% |
[ 1.0% - 1.5% ] 1.23% | 2,037,463 | 5.9% |
[ 1.0% - 1.5% ] 1.42% | 1,301,682 | 5.6% |
[ 1.5% - 2.0% ] 1.62% | 882,748 | 5.6% |
[ 1.5% - 2.0% ] 1.80% | 841,272 | 5.5% |
[ 1.5% - 2.0% ] 1.99% | 450,141 | 8.5% |
[ 2.0% - 2.5% ] 2.20% | 535,534 | 6.2% |
[ 2.0% - 2.5% ] 2.36% | 393,147 | 6.8% |
[ 2.5% - 3.0% ] 2.53% | 215,183 | 5.7% |
[ 2.5% - 3.0% ] 2.76% | 218,121 | 6.7% |
[ 2.5% - 3.0% ] 2.93% | 55,720 | 6.2% |
[ 3.0% - 3.5% ] 3.18% | 55,211 | 8.0% |
[ 3.0% - 3.5% ] 3.30% | 48,998 | 9.2% |
[ 3.5% - 4.0% ] 3.52% | 109,679 | 6.1% |
[ 3.5% - 4.0% ] 3.71% | 34,849 | 10.3% |
[ 3.5% - 4.0% ] 3.87% | 2,271 | 6.6% |
[ 4.0% - 4.5% ] 4.13% | 18,099 | 13.9% |
[ 4.0% - 4.5% ] 4.26% | 62,194 | 5.8% |
[ 4.0% - 4.5% ] 4.46% | 14,017 | 19.8% |
[ 4.5% - 5.0% ] 4.62% | 37,725 | 6.6% |
[ 4.5% - 5.0% ] 4.83% | 435 | 55.4% |
[ 5.0% - 5.5% ] 5.01% | 66,189 | 11.2% |
[ 5.0% - 5.5% ] 5.28% | 4,226 | 9.6% |
[ 5.0% - 5.5% ] 5.44% | 3,604 | 15.6% |
[ 5.5% - 6.0% ] 5.67% | 4,884 | 27.7% |
[ 5.5% - 6.0% ] 5.98% | 8,859 | 7.7% |
[ 6.0% - 6.5% ] 6.12% | 1,927 | 14.1% |
[ 6.0% - 6.5% ] 6.38% | 7,506 | 1.7% |
[ 6.5% - 7.0% ] 6.54% | 5,447 | 19.0% |
[ 6.5% - 7.0% ] 6.69% | 762 | 27.3% |
[ 6.5% - 7.0% ] 6.85% | 628 | 7.1% |
[ 7.0% - 7.5% ] 7.12% | 4,017 | 5.8% |
[ 7.0% - 7.5% ] 7.29% | 4,240 | 28.1% |
[ 7.0% - 7.5% ] 7.44% | 2,298 | 2.2% |
[ 7.5% - 8.0% ] 7.66% | 2,376 | 24.7% |
[ 7.5% - 8.0% ] 7.95% | 478 | 25.0% |
[ 8.0% - 8.5% ] 8.02% | 5,862 | 13.1% |
[ 8.0% - 8.5% ] 8.45% | 970 | 23.1% |
[ 8.5% - 9.0% ] 8.83% | 9,521 | 22.8% |
[ 9.0% - 9.5% ] 9.08% | 3,138 | 7.4% |
[ 9.0% - 9.5% ] 9.22% | 4,654 | 11.7% |
[ 9.0% - 9.5% ] 9.43% | 732 | 9.5% |
[ 9.0% - 9.5% ] 9.50% | 27,648 | 10.5% |
[ 9.5% - 10.0% ] 9.96% | 4,105 | 26.2% |
[ 10.5% - 11.0% ] 10.81% | 2,885 | 5.3% |
[ 11.0% - 11.5% ] 11.26% | 2,718 | 6.0% |
[ 11.5% - 12.0% ] 11.89% | 143 | 42.9% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 10.7% |
[ 14.0% - 14.5% ] 14.44% | 1,260 | 17.1% |
[ 15.5% - 16.0% ] 15.54% | 1,454 | 4.1% |
[ 16.0% - 16.5% ] 16.24% | 234 | 50.0% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 4.3% |