Lithuanian Male Poverty
COMPARE
Lithuanian
Select to Compare
Male Poverty
Lithuanian Male Poverty
9.5%
POVERTY | MALES
99.8/ 100
METRIC RATING
18th/ 347
METRIC RANK
Lithuanian Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 421,480,494 people shows a substantial positive correlation between the proportion of Lithuanians and poverty level among males in the United States with a correlation coefficient (R) of 0.503 and weighted average of 9.5%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.56% in poverty level among males.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among males 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 males within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.
Demographics Similar to Lithuanians by Male Poverty
In terms of male poverty, the demographic groups most similar to Lithuanians are Norwegian (9.5%, a difference of 0.17%), Immigrants from Hong Kong (9.6%, a difference of 0.18%), Latvian (9.6%, a difference of 0.28%), Luxembourger (9.5%, a difference of 0.30%), and Immigrants from Scotland (9.6%, a difference of 0.55%).
| Demographics | Rating | Rank | Male Poverty |
| Bolivians | 99.9 /100 | #11 | Exceptional 9.4% |
| Immigrants from Bolivia | 99.9 /100 | #12 | Exceptional 9.4% |
| Immigrants from Lithuania | 99.9 /100 | #13 | Exceptional 9.4% |
| Immigrants from North Macedonia | 99.8 /100 | #14 | Exceptional 9.4% |
| Bhutanese | 99.8 /100 | #15 | Exceptional 9.5% |
| Luxembourgers | 99.8 /100 | #16 | Exceptional 9.5% |
| Norwegians | 99.8 /100 | #17 | Exceptional 9.5% |
| Lithuanians | 99.8 /100 | #18 | Exceptional 9.5% |
| Immigrants from Hong Kong | 99.7 /100 | #19 | Exceptional 9.6% |
| Latvians | 99.7 /100 | #20 | Exceptional 9.6% |
| Immigrants from Scotland | 99.7 /100 | #21 | Exceptional 9.6% |
| Croatians | 99.7 /100 | #22 | Exceptional 9.6% |
| Italians | 99.7 /100 | #23 | Exceptional 9.6% |
| Swedes | 99.7 /100 | #24 | Exceptional 9.6% |
| Eastern Europeans | 99.6 /100 | #25 | Exceptional 9.6% |
Lithuanian Male Poverty Correlation Summary
| Measurement | Lithuanian Data | Male Poverty Data |
| Minimum | 0.087% | 0.15% |
| Maximum | 35.0% | 53.0% |
| Range | 34.9% | 52.8% |
| Mean | 9.3% | 11.4% |
| Median | 7.4% | 8.5% |
| Interquartile 25% (IQ1) | 3.7% | 6.9% |
| Interquartile 75% (IQ3) | 12.4% | 13.0% |
| Interquartile Range (IQR) | 8.7% | 6.0% |
| Standard Deviation (Sample) | 7.7% | 8.6% |
| Standard Deviation (Population) | 7.7% | 8.6% |
Correlation Details
| Lithuanian Percentile | Sample Size | Male Poverty |
[ 0.0% - 0.5% ] 0.087% | 258,913,739 | 12.3% |
[ 0.0% - 0.5% ] 0.27% | 88,663,703 | 10.1% |
[ 0.0% - 0.5% ] 0.46% | 35,411,855 | 8.5% |
[ 0.5% - 1.0% ] 0.65% | 14,644,151 | 8.2% |
[ 0.5% - 1.0% ] 0.84% | 8,270,128 | 8.2% |
[ 1.0% - 1.5% ] 1.03% | 5,317,339 | 8.0% |
[ 1.0% - 1.5% ] 1.23% | 2,649,893 | 6.9% |
[ 1.0% - 1.5% ] 1.41% | 1,801,010 | 7.6% |
[ 1.5% - 2.0% ] 1.62% | 1,201,086 | 9.4% |
[ 1.5% - 2.0% ] 1.79% | 1,034,557 | 6.9% |
[ 1.5% - 2.0% ] 1.99% | 730,766 | 7.6% |
[ 2.0% - 2.5% ] 2.19% | 680,750 | 6.5% |
[ 2.0% - 2.5% ] 2.37% | 530,236 | 8.8% |
[ 2.5% - 3.0% ] 2.53% | 301,499 | 8.1% |
[ 2.5% - 3.0% ] 2.76% | 278,666 | 10.4% |
[ 2.5% - 3.0% ] 2.93% | 89,514 | 7.0% |
[ 3.0% - 3.5% ] 3.16% | 82,708 | 7.7% |
[ 3.0% - 3.5% ] 3.32% | 96,455 | 7.7% |
[ 3.5% - 4.0% ] 3.52% | 134,266 | 9.6% |
[ 3.5% - 4.0% ] 3.70% | 56,702 | 11.7% |
[ 3.5% - 4.0% ] 3.86% | 24,919 | 5.9% |
[ 4.0% - 4.5% ] 4.13% | 78,810 | 6.0% |
[ 4.0% - 4.5% ] 4.27% | 81,401 | 6.2% |
[ 4.0% - 4.5% ] 4.46% | 39,729 | 8.6% |
[ 4.5% - 5.0% ] 4.63% | 49,508 | 5.9% |
[ 4.5% - 5.0% ] 4.81% | 16,578 | 13.7% |
[ 5.0% - 5.5% ] 5.01% | 72,792 | 8.5% |
[ 5.0% - 5.5% ] 5.23% | 15,309 | 15.9% |
[ 5.0% - 5.5% ] 5.44% | 7,555 | 4.8% |
[ 5.5% - 6.0% ] 5.64% | 7,585 | 20.8% |
[ 5.5% - 6.0% ] 5.76% | 9,202 | 7.3% |
[ 5.5% - 6.0% ] 5.95% | 23,492 | 30.7% |
[ 6.0% - 6.5% ] 6.09% | 5,716 | 6.2% |
[ 6.0% - 6.5% ] 6.38% | 10,735 | 8.1% |
[ 6.5% - 7.0% ] 6.51% | 9,507 | 22.0% |
[ 6.5% - 7.0% ] 6.71% | 3,264 | 9.0% |
[ 6.5% - 7.0% ] 6.94% | 1,513 | 8.1% |
[ 7.0% - 7.5% ] 7.13% | 6,101 | 12.4% |
[ 7.0% - 7.5% ] 7.28% | 6,343 | 8.9% |
[ 7.0% - 7.5% ] 7.45% | 2,631 | 3.6% |
[ 7.5% - 8.0% ] 7.66% | 3,304 | 13.0% |
[ 7.5% - 8.0% ] 7.94% | 2,014 | 3.8% |
[ 8.0% - 8.5% ] 8.03% | 7,300 | 3.3% |
[ 8.0% - 8.5% ] 8.18% | 1,394 | 12.3% |
[ 8.0% - 8.5% ] 8.47% | 3,815 | 8.7% |
[ 8.5% - 9.0% ] 8.62% | 441 | 8.9% |
[ 8.5% - 9.0% ] 8.82% | 13,542 | 24.7% |
[ 9.0% - 9.5% ] 9.08% | 3,138 | 3.1% |
[ 9.0% - 9.5% ] 9.24% | 12,486 | 4.3% |
[ 9.0% - 9.5% ] 9.44% | 1,028 | 4.2% |
[ 9.0% - 9.5% ] 9.50% | 27,991 | 1.9% |
[ 9.5% - 10.0% ] 9.90% | 21,663 | 7.7% |
[ 10.5% - 11.0% ] 10.68% | 103 | 12.2% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 21.4% |
[ 11.0% - 11.5% ] 11.19% | 447 | 7.9% |
[ 11.0% - 11.5% ] 11.26% | 2,940 | 17.1% |
[ 11.5% - 12.0% ] 11.89% | 143 | 8.7% |
[ 12.0% - 12.5% ] 12.19% | 886 | 7.1% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 21.2% |
[ 12.5% - 13.0% ] 12.54% | 295 | 8.4% |
[ 12.5% - 13.0% ] 12.78% | 1,409 | 0.15% |
[ 12.5% - 13.0% ] 12.94% | 85 | 22.7% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 28.3% |
[ 15.5% - 16.0% ] 15.53% | 1,668 | 5.2% |
[ 15.5% - 16.0% ] 15.60% | 327 | 16.9% |
[ 16.0% - 16.5% ] 16.04% | 804 | 26.7% |
[ 16.0% - 16.5% ] 16.24% | 234 | 2.7% |
[ 16.5% - 17.0% ] 16.70% | 1,383 | 7.9% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 7.6% |
[ 20.5% - 21.0% ] 20.69% | 145 | 13.6% |
[ 21.5% - 22.0% ] 21.99% | 141 | 18.5% |
[ 22.5% - 23.0% ] 22.52% | 595 | 11.7% |
[ 23.5% - 24.0% ] 23.64% | 110 | 6.0% |
[ 25.5% - 26.0% ] 25.60% | 250 | 5.4% |
[ 26.5% - 27.0% ] 26.55% | 531 | 18.4% |
[ 27.0% - 27.5% ] 27.32% | 205 | 25.7% |
[ 32.5% - 33.0% ] 32.54% | 209 | 37.4% |
[ 34.5% - 35.0% ] 34.95% | 206 | 53.0% |