Lithuanian Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Lithuanian Child Poverty Among Boys Under 16
14.0%
POVERTY | BOYS < 16
99.6/ 100
METRIC RATING
41st/ 347
METRIC RANK
Lithuanian Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 411,360,859 people shows a significant positive correlation between the proportion of Lithuanians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.662 and weighted average of 14.0%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 2.8% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among boys under the age of 16 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 boys under the age of 16 within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.
Demographics Similar to Lithuanians by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Lithuanians are Korean (14.0%, a difference of 0.030%), Immigrants from Asia (13.9%, a difference of 0.090%), Immigrants from Australia (13.9%, a difference of 0.33%), Immigrants from Northern Europe (13.9%, a difference of 0.47%), and Croatian (14.0%, a difference of 0.53%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Assyrians/Chaldeans/Syriacs | 99.8 /100 | #34 | Exceptional 13.6% |
| Russians | 99.7 /100 | #35 | Exceptional 13.8% |
| Luxembourgers | 99.7 /100 | #36 | Exceptional 13.8% |
| Immigrants from Sri Lanka | 99.6 /100 | #37 | Exceptional 13.9% |
| Immigrants from Northern Europe | 99.6 /100 | #38 | Exceptional 13.9% |
| Immigrants from Australia | 99.6 /100 | #39 | Exceptional 13.9% |
| Immigrants from Asia | 99.6 /100 | #40 | Exceptional 13.9% |
| Lithuanians | 99.6 /100 | #41 | Exceptional 14.0% |
| Koreans | 99.6 /100 | #42 | Exceptional 14.0% |
| Croatians | 99.5 /100 | #43 | Exceptional 14.0% |
| Estonians | 99.4 /100 | #44 | Exceptional 14.1% |
| Immigrants from Scotland | 99.4 /100 | #45 | Exceptional 14.1% |
| Greeks | 99.4 /100 | #46 | Exceptional 14.1% |
| Immigrants from Moldova | 99.4 /100 | #47 | Exceptional 14.1% |
| Immigrants from Indonesia | 99.4 /100 | #48 | Exceptional 14.1% |
Lithuanian Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Lithuanian Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.087% | 7.6% |
| Maximum | 27.3% | 100.0% |
| Range | 27.2% | 92.4% |
| Mean | 6.5% | 26.4% |
| Median | 5.3% | 18.0% |
| Interquartile 25% (IQ1) | 2.6% | 11.5% |
| Interquartile 75% (IQ3) | 8.7% | 34.4% |
| Interquartile Range (IQR) | 6.1% | 22.9% |
| Standard Deviation (Sample) | 5.4% | 22.4% |
| Standard Deviation (Population) | 5.3% | 22.2% |
Correlation Details
| Lithuanian Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.087% | 256,966,869 | 18.0% |
[ 0.0% - 0.5% ] 0.27% | 86,079,178 | 14.1% |
[ 0.0% - 0.5% ] 0.46% | 33,633,732 | 11.6% |
[ 0.5% - 1.0% ] 0.65% | 13,398,115 | 11.4% |
[ 0.5% - 1.0% ] 0.84% | 7,594,149 | 11.7% |
[ 1.0% - 1.5% ] 1.03% | 4,774,555 | 11.2% |
[ 1.0% - 1.5% ] 1.23% | 2,312,575 | 10.0% |
[ 1.0% - 1.5% ] 1.41% | 1,628,853 | 11.6% |
[ 1.5% - 2.0% ] 1.62% | 977,698 | 13.4% |
[ 1.5% - 2.0% ] 1.79% | 964,445 | 9.9% |
[ 1.5% - 2.0% ] 1.99% | 665,497 | 11.9% |
[ 2.0% - 2.5% ] 2.19% | 620,071 | 8.9% |
[ 2.0% - 2.5% ] 2.36% | 477,276 | 14.1% |
[ 2.5% - 3.0% ] 2.54% | 250,392 | 16.6% |
[ 2.5% - 3.0% ] 2.75% | 244,281 | 18.9% |
[ 2.5% - 3.0% ] 2.93% | 80,227 | 8.6% |
[ 3.0% - 3.5% ] 3.17% | 67,092 | 10.0% |
[ 3.0% - 3.5% ] 3.29% | 58,703 | 18.4% |
[ 3.5% - 4.0% ] 3.52% | 121,682 | 18.4% |
[ 3.5% - 4.0% ] 3.69% | 47,450 | 30.6% |
[ 3.5% - 4.0% ] 3.84% | 14,361 | 18.0% |
[ 4.0% - 4.5% ] 4.13% | 69,411 | 8.7% |
[ 4.0% - 4.5% ] 4.27% | 63,859 | 11.4% |
[ 4.0% - 4.5% ] 4.44% | 27,286 | 19.0% |
[ 4.5% - 5.0% ] 4.63% | 40,887 | 11.5% |
[ 4.5% - 5.0% ] 4.81% | 12,640 | 35.0% |
[ 5.0% - 5.5% ] 5.00% | 59,752 | 15.7% |
[ 5.0% - 5.5% ] 5.21% | 12,296 | 33.8% |
[ 5.0% - 5.5% ] 5.37% | 615 | 45.0% |
[ 5.5% - 6.0% ] 5.65% | 6,817 | 44.7% |
[ 5.5% - 6.0% ] 5.80% | 2,190 | 52.4% |
[ 5.5% - 6.0% ] 5.98% | 10,086 | 26.6% |
[ 6.0% - 6.5% ] 6.38% | 10,203 | 7.6% |
[ 6.5% - 7.0% ] 6.51% | 9,507 | 36.8% |
[ 6.5% - 7.0% ] 6.71% | 2,502 | 14.4% |
[ 6.5% - 7.0% ] 6.90% | 899 | 14.6% |
[ 7.0% - 7.5% ] 7.13% | 5,162 | 33.7% |
[ 7.0% - 7.5% ] 7.29% | 5,998 | 18.6% |
[ 7.5% - 8.0% ] 7.65% | 2,235 | 24.5% |
[ 8.0% - 8.5% ] 8.17% | 1,334 | 19.3% |
[ 8.0% - 8.5% ] 8.47% | 3,685 | 13.4% |
[ 8.5% - 9.0% ] 8.67% | 150 | 30.6% |
[ 8.5% - 9.0% ] 8.83% | 11,095 | 50.7% |
[ 9.0% - 9.5% ] 9.28% | 6,857 | 17.2% |
[ 9.5% - 10.0% ] 9.96% | 4,105 | 52.2% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 49.8% |
[ 11.0% - 11.5% ] 11.19% | 447 | 8.3% |
[ 11.0% - 11.5% ] 11.26% | 2,718 | 44.5% |
[ 12.0% - 12.5% ] 12.18% | 583 | 11.1% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 42.3% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 56.6% |
[ 15.5% - 16.0% ] 15.54% | 1,454 | 10.9% |
[ 15.5% - 16.0% ] 15.60% | 327 | 100.0% |
[ 16.0% - 16.5% ] 16.04% | 804 | 100.0% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 20.0% |
[ 27.0% - 27.5% ] 27.32% | 205 | 100.0% |