Lithuanian Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Lithuanian Child Poverty Among Girls Under 16
13.9%
POVERTY | GIRLS < 16
99.6/ 100
METRIC RATING
37th/ 347
METRIC RANK
Lithuanian Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 410,552,780 people shows a weak positive correlation between the proportion of Lithuanians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.250 and weighted average of 13.9%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 1.0% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among girls 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 girls 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 girls under the age of 16 due to other factors.
Demographics Similar to Lithuanians by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Lithuanians are Russian (13.9%, a difference of 0.020%), Immigrants from Northern Europe (13.8%, a difference of 0.17%), Immigrants from Moldova (13.9%, a difference of 0.30%), Immigrants from Australia (14.0%, a difference of 0.95%), and Immigrants from Sri Lanka (14.0%, a difference of 1.0%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Asians | 99.7 /100 | #30 | Exceptional 13.7% |
| Turks | 99.7 /100 | #31 | Exceptional 13.7% |
| Danes | 99.7 /100 | #32 | Exceptional 13.7% |
| Swedes | 99.7 /100 | #33 | Exceptional 13.7% |
| Maltese | 99.7 /100 | #34 | Exceptional 13.7% |
| Immigrants from Northern Europe | 99.6 /100 | #35 | Exceptional 13.8% |
| Russians | 99.6 /100 | #36 | Exceptional 13.9% |
| Lithuanians | 99.6 /100 | #37 | Exceptional 13.9% |
| Immigrants from Moldova | 99.6 /100 | #38 | Exceptional 13.9% |
| Immigrants from Australia | 99.5 /100 | #39 | Exceptional 14.0% |
| Immigrants from Sri Lanka | 99.5 /100 | #40 | Exceptional 14.0% |
| Immigrants from Bolivia | 99.5 /100 | #41 | Exceptional 14.0% |
| Immigrants from Scotland | 99.4 /100 | #42 | Exceptional 14.0% |
| Koreans | 99.4 /100 | #43 | Exceptional 14.1% |
| Immigrants from Asia | 99.4 /100 | #44 | Exceptional 14.1% |
Lithuanian Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Lithuanian Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.087% | 0.39% |
| Maximum | 19.9% | 78.0% |
| Range | 19.8% | 77.7% |
| Mean | 5.9% | 19.1% |
| Median | 5.2% | 12.8% |
| Interquartile 25% (IQ1) | 2.5% | 9.9% |
| Interquartile 75% (IQ3) | 8.2% | 21.5% |
| Interquartile Range (IQR) | 5.7% | 11.6% |
| Standard Deviation (Sample) | 4.3% | 17.8% |
| Standard Deviation (Population) | 4.3% | 17.6% |
Correlation Details
| Lithuanian Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.087% | 256,600,623 | 18.1% |
[ 0.0% - 0.5% ] 0.27% | 85,795,164 | 14.1% |
[ 0.0% - 0.5% ] 0.46% | 33,633,881 | 11.5% |
[ 0.5% - 1.0% ] 0.65% | 13,476,349 | 11.1% |
[ 0.5% - 1.0% ] 0.84% | 7,478,834 | 11.2% |
[ 1.0% - 1.5% ] 1.03% | 4,806,437 | 11.8% |
[ 1.0% - 1.5% ] 1.23% | 2,326,917 | 10.8% |
[ 1.0% - 1.5% ] 1.41% | 1,579,505 | 11.7% |
[ 1.5% - 2.0% ] 1.62% | 979,653 | 13.1% |
[ 1.5% - 2.0% ] 1.79% | 924,772 | 10.5% |
[ 1.5% - 2.0% ] 1.99% | 601,760 | 13.1% |
[ 2.0% - 2.5% ] 2.19% | 604,475 | 10.4% |
[ 2.0% - 2.5% ] 2.37% | 460,037 | 14.9% |
[ 2.5% - 3.0% ] 2.54% | 219,269 | 15.3% |
[ 2.5% - 3.0% ] 2.76% | 255,788 | 17.0% |
[ 2.5% - 3.0% ] 2.94% | 78,328 | 9.9% |
[ 3.0% - 3.5% ] 3.17% | 70,236 | 22.6% |
[ 3.0% - 3.5% ] 3.31% | 57,502 | 14.7% |
[ 3.5% - 4.0% ] 3.52% | 129,037 | 16.3% |
[ 3.5% - 4.0% ] 3.70% | 51,878 | 34.6% |
[ 3.5% - 4.0% ] 3.84% | 16,865 | 19.2% |
[ 4.0% - 4.5% ] 4.14% | 52,976 | 8.7% |
[ 4.0% - 4.5% ] 4.27% | 65,941 | 10.1% |
[ 4.0% - 4.5% ] 4.45% | 13,976 | 14.6% |
[ 4.5% - 5.0% ] 4.63% | 40,887 | 9.8% |
[ 4.5% - 5.0% ] 4.81% | 13,132 | 24.8% |
[ 5.0% - 5.5% ] 5.01% | 58,578 | 12.6% |
[ 5.0% - 5.5% ] 5.22% | 10,833 | 25.3% |
[ 5.0% - 5.5% ] 5.45% | 2,733 | 12.8% |
[ 5.5% - 6.0% ] 5.65% | 5,659 | 36.1% |
[ 5.5% - 6.0% ] 5.73% | 4,836 | 4.4% |
[ 5.5% - 6.0% ] 5.98% | 9,720 | 21.5% |
[ 6.0% - 6.5% ] 6.12% | 2,141 | 11.5% |
[ 6.0% - 6.5% ] 6.38% | 7,506 | 1.5% |
[ 6.5% - 7.0% ] 6.51% | 9,308 | 33.0% |
[ 6.5% - 7.0% ] 6.73% | 1,694 | 6.6% |
[ 6.5% - 7.0% ] 6.94% | 1,513 | 19.0% |
[ 7.0% - 7.5% ] 7.12% | 3,989 | 38.3% |
[ 7.0% - 7.5% ] 7.29% | 5,998 | 11.5% |
[ 7.5% - 8.0% ] 7.65% | 2,235 | 23.8% |
[ 8.0% - 8.5% ] 8.02% | 5,862 | 6.6% |
[ 8.0% - 8.5% ] 8.20% | 244 | 72.7% |
[ 8.0% - 8.5% ] 8.49% | 4,440 | 17.0% |
[ 8.5% - 9.0% ] 8.82% | 13,179 | 29.7% |
[ 9.0% - 9.5% ] 9.25% | 11,511 | 11.1% |
[ 9.0% - 9.5% ] 9.49% | 24,670 | 0.39% |
[ 9.5% - 10.0% ] 9.90% | 21,663 | 6.3% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 74.4% |
[ 11.0% - 11.5% ] 11.19% | 447 | 4.8% |
[ 11.0% - 11.5% ] 11.26% | 2,718 | 74.2% |
[ 12.0% - 12.5% ] 12.18% | 583 | 8.3% |
[ 14.5% - 15.0% ] 14.57% | 254 | 78.0% |
[ 15.5% - 16.0% ] 15.54% | 1,454 | 9.0% |
[ 15.5% - 16.0% ] 15.60% | 327 | 9.3% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 8.1% |