Lithuanian Married-Couple Family Poverty
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Married-Couple Family Poverty
Lithuanian Married-Couple Family Poverty
4.0%
POVERTY | MARRIED-COUPLE FAMILIES
100.0/ 100
METRIC RATING
11th/ 347
METRIC RANK
Lithuanian Married-Couple Family Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 416,141,863 people shows a slight positive correlation between the proportion of Lithuanians and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.067 and weighted average of 4.0%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.043% in poverty level among married-couple families.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among married-couple families 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 married-couple families within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among married-couple families due to other factors.
Demographics Similar to Lithuanians by Married-Couple Family Poverty
In terms of married-couple family poverty, the demographic groups most similar to Lithuanians are Carpatho Rusyn (3.9%, a difference of 0.51%), Croatian (3.9%, a difference of 0.56%), Bulgarian (4.0%, a difference of 0.70%), Thai (3.9%, a difference of 1.0%), and Latvian (3.9%, a difference of 1.5%).
| Demographics | Rating | Rank | Married-Couple Family Poverty |
| Slovenes | 100.0 /100 | #4 | Exceptional 3.8% |
| Swedes | 100.0 /100 | #5 | Exceptional 3.9% |
| Luxembourgers | 100.0 /100 | #6 | Exceptional 3.9% |
| Latvians | 100.0 /100 | #7 | Exceptional 3.9% |
| Thais | 100.0 /100 | #8 | Exceptional 3.9% |
| Croatians | 100.0 /100 | #9 | Exceptional 3.9% |
| Carpatho Rusyns | 100.0 /100 | #10 | Exceptional 3.9% |
| Lithuanians | 100.0 /100 | #11 | Exceptional 4.0% |
| Bulgarians | 100.0 /100 | #12 | Exceptional 4.0% |
| Czechs | 100.0 /100 | #13 | Exceptional 4.0% |
| Slovaks | 100.0 /100 | #14 | Exceptional 4.0% |
| Poles | 100.0 /100 | #15 | Exceptional 4.0% |
| Germans | 100.0 /100 | #16 | Exceptional 4.0% |
| Filipinos | 100.0 /100 | #17 | Exceptional 4.0% |
| Italians | 100.0 /100 | #18 | Exceptional 4.0% |
Lithuanian Married-Couple Family Poverty Correlation Summary
| Measurement | Lithuanian Data | Married-Couple Family Poverty Data |
| Minimum | 0.087% | 1.6% |
| Maximum | 19.9% | 14.7% |
| Range | 19.8% | 13.1% |
| Mean | 6.0% | 4.6% |
| Median | 5.6% | 3.8% |
| Interquartile 25% (IQ1) | 2.8% | 3.0% |
| Interquartile 75% (IQ3) | 8.5% | 5.3% |
| Interquartile Range (IQR) | 5.8% | 2.3% |
| Standard Deviation (Sample) | 4.2% | 2.7% |
| Standard Deviation (Population) | 4.2% | 2.7% |
Correlation Details
| Lithuanian Percentile | Sample Size | Married-Couple Family Poverty |
[ 0.0% - 0.5% ] 0.087% | 257,731,650 | 5.3% |
[ 0.0% - 0.5% ] 0.27% | 87,239,659 | 3.9% |
[ 0.0% - 0.5% ] 0.46% | 34,570,931 | 3.3% |
[ 0.5% - 1.0% ] 0.65% | 14,120,252 | 3.1% |
[ 0.5% - 1.0% ] 0.84% | 7,926,561 | 3.2% |
[ 1.0% - 1.5% ] 1.03% | 5,094,575 | 3.5% |
[ 1.0% - 1.5% ] 1.23% | 2,508,277 | 3.1% |
[ 1.0% - 1.5% ] 1.41% | 1,653,114 | 3.3% |
[ 1.5% - 2.0% ] 1.62% | 1,061,897 | 4.6% |
[ 1.5% - 2.0% ] 1.79% | 978,614 | 3.4% |
[ 1.5% - 2.0% ] 1.99% | 670,822 | 3.0% |
[ 2.0% - 2.5% ] 2.19% | 643,863 | 3.2% |
[ 2.0% - 2.5% ] 2.37% | 506,857 | 4.4% |
[ 2.5% - 3.0% ] 2.53% | 280,410 | 3.7% |
[ 2.5% - 3.0% ] 2.75% | 249,855 | 6.2% |
[ 2.5% - 3.0% ] 2.94% | 78,215 | 2.4% |
[ 3.0% - 3.5% ] 3.16% | 77,200 | 5.7% |
[ 3.0% - 3.5% ] 3.31% | 87,066 | 3.4% |
[ 3.5% - 4.0% ] 3.52% | 129,702 | 3.6% |
[ 3.5% - 4.0% ] 3.70% | 46,359 | 5.1% |
[ 3.5% - 4.0% ] 3.83% | 15,262 | 4.1% |
[ 4.0% - 4.5% ] 4.12% | 72,297 | 2.5% |
[ 4.0% - 4.5% ] 4.27% | 70,392 | 2.0% |
[ 4.0% - 4.5% ] 4.47% | 29,084 | 3.9% |
[ 4.5% - 5.0% ] 4.64% | 43,203 | 2.4% |
[ 4.5% - 5.0% ] 4.80% | 14,432 | 4.5% |
[ 5.0% - 5.5% ] 5.01% | 70,450 | 4.7% |
[ 5.0% - 5.5% ] 5.21% | 8,286 | 7.2% |
[ 5.0% - 5.5% ] 5.45% | 3,228 | 7.3% |
[ 5.5% - 6.0% ] 5.65% | 6,636 | 7.8% |
[ 5.5% - 6.0% ] 5.74% | 5,746 | 2.8% |
[ 5.5% - 6.0% ] 5.96% | 13,083 | 4.9% |
[ 6.0% - 6.5% ] 6.09% | 5,502 | 4.6% |
[ 6.0% - 6.5% ] 6.38% | 7,506 | 1.7% |
[ 6.5% - 7.0% ] 6.51% | 9,507 | 11.7% |
[ 6.5% - 7.0% ] 6.72% | 2,456 | 10.3% |
[ 6.5% - 7.0% ] 6.92% | 1,242 | 2.7% |
[ 7.0% - 7.5% ] 7.13% | 5,386 | 12.5% |
[ 7.0% - 7.5% ] 7.28% | 5,726 | 5.1% |
[ 7.0% - 7.5% ] 7.45% | 2,631 | 2.8% |
[ 7.5% - 8.0% ] 7.67% | 1,826 | 11.3% |
[ 8.0% - 8.5% ] 8.03% | 7,300 | 2.2% |
[ 8.0% - 8.5% ] 8.17% | 1,150 | 2.2% |
[ 8.5% - 9.0% ] 8.50% | 2,164 | 3.7% |
[ 8.5% - 9.0% ] 8.83% | 11,095 | 14.7% |
[ 9.0% - 9.5% ] 9.08% | 3,138 | 5.3% |
[ 9.0% - 9.5% ] 9.28% | 6,857 | 4.5% |
[ 9.0% - 9.5% ] 9.50% | 27,669 | 1.6% |
[ 9.5% - 10.0% ] 9.90% | 21,663 | 5.3% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 3.3% |
[ 11.0% - 11.5% ] 11.19% | 447 | 5.3% |
[ 11.0% - 11.5% ] 11.26% | 222 | 4.9% |
[ 12.0% - 12.5% ] 12.19% | 886 | 6.0% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 2.2% |
[ 12.5% - 13.0% ] 12.54% | 295 | 3.0% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 4.3% |
[ 15.5% - 16.0% ] 15.53% | 1,668 | 2.7% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 3.0% |