Lithuanian Single Female Poverty
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Single Female Poverty
Lithuanian Single Female Poverty
19.2%
POVERTY | SINGLE FEMALES
99.6/ 100
METRIC RATING
62nd/ 347
METRIC RANK
Lithuanian Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 412,150,693 people shows a weak positive correlation between the proportion of Lithuanians and poverty level among single females in the United States with a correlation coefficient (R) of 0.220 and weighted average of 19.2%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.59% in poverty level among single females.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among single females 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 single females within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among single females due to other factors.
Demographics Similar to Lithuanians by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Lithuanians are Cambodian (19.2%, a difference of 0.050%), Russian (19.2%, a difference of 0.070%), Immigrants from Northern Europe (19.2%, a difference of 0.12%), Immigrants from Europe (19.2%, a difference of 0.13%), and Cypriot (19.2%, a difference of 0.15%).
| Demographics | Rating | Rank | Single Female Poverty |
| Immigrants from Vietnam | 99.7 /100 | #55 | Exceptional 19.1% |
| Immigrants from Fiji | 99.7 /100 | #56 | Exceptional 19.1% |
| Eastern Europeans | 99.7 /100 | #57 | Exceptional 19.1% |
| Immigrants from Bulgaria | 99.7 /100 | #58 | Exceptional 19.1% |
| Sri Lankans | 99.6 /100 | #59 | Exceptional 19.2% |
| Russians | 99.6 /100 | #60 | Exceptional 19.2% |
| Cambodians | 99.6 /100 | #61 | Exceptional 19.2% |
| Lithuanians | 99.6 /100 | #62 | Exceptional 19.2% |
| Immigrants from Northern Europe | 99.6 /100 | #63 | Exceptional 19.2% |
| Immigrants from Europe | 99.6 /100 | #64 | Exceptional 19.2% |
| Cypriots | 99.6 /100 | #65 | Exceptional 19.2% |
| Palestinians | 99.6 /100 | #66 | Exceptional 19.2% |
| Immigrants from Egypt | 99.6 /100 | #67 | Exceptional 19.2% |
| Laotians | 99.5 /100 | #68 | Exceptional 19.3% |
| Paraguayans | 99.5 /100 | #69 | Exceptional 19.3% |
Lithuanian Single Female Poverty Correlation Summary
| Measurement | Lithuanian Data | Single Female Poverty Data |
| Minimum | 0.087% | 6.1% |
| Maximum | 19.9% | 57.6% |
| Range | 19.8% | 51.5% |
| Mean | 6.0% | 22.8% |
| Median | 5.4% | 19.4% |
| Interquartile 25% (IQ1) | 2.6% | 15.7% |
| Interquartile 75% (IQ3) | 8.3% | 27.4% |
| Interquartile Range (IQR) | 5.7% | 11.7% |
| Standard Deviation (Sample) | 4.2% | 11.3% |
| Standard Deviation (Population) | 4.2% | 11.2% |
Correlation Details
| Lithuanian Percentile | Sample Size | Single Female Poverty |
[ 0.0% - 0.5% ] 0.087% | 256,591,716 | 22.5% |
[ 0.0% - 0.5% ] 0.27% | 86,459,234 | 19.4% |
[ 0.0% - 0.5% ] 0.46% | 33,993,086 | 17.4% |
[ 0.5% - 1.0% ] 0.65% | 13,586,001 | 18.0% |
[ 0.5% - 1.0% ] 0.84% | 7,644,933 | 17.6% |
[ 1.0% - 1.5% ] 1.03% | 4,875,460 | 17.6% |
[ 1.0% - 1.5% ] 1.23% | 2,365,089 | 15.8% |
[ 1.0% - 1.5% ] 1.41% | 1,608,671 | 16.8% |
[ 1.5% - 2.0% ] 1.62% | 1,022,893 | 21.8% |
[ 1.5% - 2.0% ] 1.79% | 955,596 | 15.5% |
[ 1.5% - 2.0% ] 1.99% | 662,402 | 17.0% |
[ 2.0% - 2.5% ] 2.20% | 617,143 | 15.7% |
[ 2.0% - 2.5% ] 2.36% | 475,004 | 17.9% |
[ 2.5% - 3.0% ] 2.53% | 263,753 | 22.1% |
[ 2.5% - 3.0% ] 2.76% | 238,371 | 17.8% |
[ 2.5% - 3.0% ] 2.94% | 81,071 | 19.5% |
[ 3.0% - 3.5% ] 3.17% | 66,954 | 17.6% |
[ 3.0% - 3.5% ] 3.30% | 49,583 | 25.7% |
[ 3.5% - 4.0% ] 3.51% | 91,427 | 25.7% |
[ 3.5% - 4.0% ] 3.69% | 48,341 | 34.9% |
[ 3.5% - 4.0% ] 3.84% | 11,968 | 19.9% |
[ 4.0% - 4.5% ] 4.13% | 67,527 | 11.3% |
[ 4.0% - 4.5% ] 4.27% | 66,226 | 18.6% |
[ 4.0% - 4.5% ] 4.45% | 22,749 | 15.7% |
[ 4.5% - 5.0% ] 4.62% | 35,529 | 28.7% |
[ 4.5% - 5.0% ] 4.81% | 13,361 | 47.3% |
[ 5.0% - 5.5% ] 5.01% | 66,696 | 12.7% |
[ 5.0% - 5.5% ] 5.24% | 8,898 | 36.5% |
[ 5.0% - 5.5% ] 5.43% | 6,019 | 14.6% |
[ 5.5% - 6.0% ] 5.65% | 6,799 | 24.5% |
[ 5.5% - 6.0% ] 5.74% | 7,070 | 28.8% |
[ 5.5% - 6.0% ] 5.98% | 8,859 | 12.8% |
[ 6.0% - 6.5% ] 6.12% | 2,141 | 9.6% |
[ 6.0% - 6.5% ] 6.38% | 9,999 | 17.4% |
[ 6.5% - 7.0% ] 6.51% | 9,507 | 26.6% |
[ 6.5% - 7.0% ] 6.68% | 808 | 23.5% |
[ 6.5% - 7.0% ] 6.90% | 899 | 28.3% |
[ 7.0% - 7.5% ] 7.12% | 3,989 | 57.6% |
[ 7.0% - 7.5% ] 7.29% | 5,571 | 23.0% |
[ 7.0% - 7.5% ] 7.45% | 2,631 | 6.1% |
[ 7.5% - 8.0% ] 7.65% | 2,014 | 28.7% |
[ 8.0% - 8.5% ] 8.02% | 5,862 | 15.3% |
[ 8.0% - 8.5% ] 8.17% | 1,334 | 17.9% |
[ 8.5% - 9.0% ] 8.50% | 3,470 | 53.9% |
[ 8.5% - 9.0% ] 8.82% | 12,683 | 19.5% |
[ 9.0% - 9.5% ] 9.25% | 11,511 | 19.4% |
[ 9.0% - 9.5% ] 9.49% | 25,066 | 6.3% |
[ 9.5% - 10.0% ] 9.90% | 21,663 | 10.0% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 28.9% |
[ 11.0% - 11.5% ] 11.19% | 447 | 22.7% |
[ 11.0% - 11.5% ] 11.26% | 2,940 | 22.7% |
[ 11.5% - 12.0% ] 11.89% | 143 | 50.0% |
[ 12.0% - 12.5% ] 12.18% | 583 | 28.6% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 41.4% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 47.5% |
[ 15.5% - 16.0% ] 15.54% | 1,454 | 14.1% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 12.8% |