Lithuanian Female Poverty
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Lithuanian
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Female Poverty
Lithuanian Female Poverty
11.4%
POVERTY | FEMALES
99.8/ 100
METRIC RATING
14th/ 347
METRIC RANK
Lithuanian Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 421,598,229 people shows no correlation between the proportion of Lithuanians and poverty level among females in the United States with a correlation coefficient (R) of -0.034 and weighted average of 11.4%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is a decrease of 0.029% in poverty level among females.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among 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 females within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Lithuanians by Female Poverty
In terms of female poverty, the demographic groups most similar to Lithuanians are Latvian (11.4%, a difference of 0.32%), Immigrants from Bolivia (11.5%, a difference of 0.80%), Bolivian (11.5%, a difference of 0.87%), Immigrants from Scotland (11.5%, a difference of 0.92%), and Immigrants from Lithuania (11.3%, a difference of 0.96%).
Demographics | Rating | Rank | Female Poverty |
Assyrians/Chaldeans/Syriacs | 99.9 /100 | #7 | Exceptional 11.0% |
Immigrants from South Central Asia | 99.9 /100 | #8 | Exceptional 11.1% |
Bulgarians | 99.9 /100 | #9 | Exceptional 11.1% |
Immigrants from Hong Kong | 99.9 /100 | #10 | Exceptional 11.2% |
Maltese | 99.9 /100 | #11 | Exceptional 11.2% |
Bhutanese | 99.9 /100 | #12 | Exceptional 11.3% |
Immigrants from Lithuania | 99.9 /100 | #13 | Exceptional 11.3% |
Lithuanians | 99.8 /100 | #14 | Exceptional 11.4% |
Latvians | 99.8 /100 | #15 | Exceptional 11.4% |
Immigrants from Bolivia | 99.8 /100 | #16 | Exceptional 11.5% |
Bolivians | 99.8 /100 | #17 | Exceptional 11.5% |
Immigrants from Scotland | 99.8 /100 | #18 | Exceptional 11.5% |
Norwegians | 99.8 /100 | #19 | Exceptional 11.5% |
Eastern Europeans | 99.7 /100 | #20 | Exceptional 11.5% |
Italians | 99.7 /100 | #21 | Exceptional 11.6% |
Lithuanian Female Poverty Correlation Summary
Measurement | Lithuanian Data | Female Poverty Data |
Minimum | 0.087% | 1.0% |
Maximum | 26.8% | 27.5% |
Range | 26.7% | 26.5% |
Mean | 8.8% | 11.1% |
Median | 7.4% | 9.8% |
Interquartile 25% (IQ1) | 3.7% | 8.2% |
Interquartile 75% (IQ3) | 11.9% | 13.5% |
Interquartile Range (IQR) | 8.2% | 5.2% |
Standard Deviation (Sample) | 6.7% | 5.7% |
Standard Deviation (Population) | 6.7% | 5.6% |
Correlation Details
Lithuanian Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.087% | 258,909,058 | 14.7% |
[ 0.0% - 0.5% ] 0.27% | 88,674,867 | 11.9% |
[ 0.0% - 0.5% ] 0.46% | 35,419,856 | 10.3% |
[ 0.5% - 1.0% ] 0.65% | 14,688,247 | 9.8% |
[ 0.5% - 1.0% ] 0.84% | 8,284,328 | 9.7% |
[ 1.0% - 1.5% ] 1.03% | 5,335,756 | 9.8% |
[ 1.0% - 1.5% ] 1.23% | 2,645,393 | 8.5% |
[ 1.0% - 1.5% ] 1.41% | 1,818,136 | 9.2% |
[ 1.5% - 2.0% ] 1.62% | 1,201,576 | 10.7% |
[ 1.5% - 2.0% ] 1.79% | 1,034,375 | 8.3% |
[ 1.5% - 2.0% ] 1.99% | 739,277 | 9.2% |
[ 2.0% - 2.5% ] 2.19% | 677,712 | 8.2% |
[ 2.0% - 2.5% ] 2.37% | 531,814 | 10.5% |
[ 2.5% - 3.0% ] 2.53% | 313,382 | 9.5% |
[ 2.5% - 3.0% ] 2.76% | 278,741 | 12.0% |
[ 2.5% - 3.0% ] 2.93% | 89,514 | 8.6% |
[ 3.0% - 3.5% ] 3.16% | 81,448 | 13.1% |
[ 3.0% - 3.5% ] 3.32% | 94,072 | 9.4% |
[ 3.5% - 4.0% ] 3.52% | 136,192 | 11.6% |
[ 3.5% - 4.0% ] 3.69% | 53,727 | 18.1% |
[ 3.5% - 4.0% ] 3.87% | 23,051 | 7.6% |
[ 4.0% - 4.5% ] 4.13% | 77,235 | 8.2% |
[ 4.0% - 4.5% ] 4.27% | 81,084 | 7.9% |
[ 4.0% - 4.5% ] 4.46% | 36,523 | 8.9% |
[ 4.5% - 5.0% ] 4.63% | 49,508 | 10.2% |
[ 4.5% - 5.0% ] 4.81% | 16,291 | 20.4% |
[ 5.0% - 5.5% ] 5.01% | 73,154 | 8.8% |
[ 5.0% - 5.5% ] 5.22% | 17,214 | 14.6% |
[ 5.0% - 5.5% ] 5.44% | 7,555 | 10.9% |
[ 5.5% - 6.0% ] 5.64% | 7,407 | 18.5% |
[ 5.5% - 6.0% ] 5.75% | 8,498 | 12.2% |
[ 5.5% - 6.0% ] 5.95% | 23,657 | 27.5% |
[ 6.0% - 6.5% ] 6.09% | 5,877 | 10.1% |
[ 6.0% - 6.5% ] 6.38% | 10,203 | 8.6% |
[ 6.5% - 7.0% ] 6.51% | 10,238 | 20.8% |
[ 6.5% - 7.0% ] 6.71% | 3,264 | 9.7% |
[ 6.5% - 7.0% ] 6.94% | 1,513 | 10.5% |
[ 7.0% - 7.5% ] 7.13% | 5,638 | 18.0% |
[ 7.0% - 7.5% ] 7.28% | 6,343 | 10.0% |
[ 7.0% - 7.5% ] 7.45% | 2,631 | 6.4% |
[ 7.5% - 8.0% ] 7.65% | 3,488 | 13.7% |
[ 7.5% - 8.0% ] 7.94% | 2,014 | 2.2% |
[ 8.0% - 8.5% ] 8.03% | 7,300 | 5.9% |
[ 8.0% - 8.5% ] 8.18% | 1,394 | 11.8% |
[ 8.0% - 8.5% ] 8.46% | 7,353 | 10.3% |
[ 8.5% - 9.0% ] 8.62% | 441 | 2.5% |
[ 8.5% - 9.0% ] 8.82% | 13,179 | 20.4% |
[ 9.0% - 9.5% ] 9.08% | 3,680 | 3.2% |
[ 9.0% - 9.5% ] 9.24% | 12,486 | 5.3% |
[ 9.0% - 9.5% ] 9.44% | 1,028 | 1.3% |
[ 9.5% - 10.0% ] 9.50% | 28,566 | 3.6% |
[ 9.5% - 10.0% ] 9.79% | 388 | 21.1% |
[ 9.5% - 10.0% ] 9.90% | 22,551 | 7.8% |
[ 10.0% - 10.5% ] 10.14% | 345 | 20.2% |
[ 10.5% - 11.0% ] 10.56% | 161 | 8.6% |
[ 10.5% - 11.0% ] 10.68% | 103 | 9.7% |
[ 10.5% - 11.0% ] 10.82% | 3,411 | 23.2% |
[ 11.0% - 11.5% ] 11.19% | 447 | 13.5% |
[ 11.0% - 11.5% ] 11.26% | 2,940 | 19.6% |
[ 11.5% - 12.0% ] 11.88% | 202 | 13.5% |
[ 12.0% - 12.5% ] 12.19% | 886 | 21.6% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 11.7% |
[ 12.5% - 13.0% ] 12.54% | 295 | 1.4% |
[ 14.0% - 14.5% ] 14.29% | 161 | 6.1% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 19.5% |
[ 15.5% - 16.0% ] 15.53% | 1,668 | 9.0% |
[ 15.5% - 16.0% ] 15.60% | 327 | 5.8% |
[ 16.0% - 16.5% ] 16.04% | 804 | 11.5% |
[ 16.0% - 16.5% ] 16.24% | 234 | 11.9% |
[ 16.5% - 17.0% ] 16.70% | 1,383 | 1.0% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 11.3% |
[ 20.5% - 21.0% ] 20.69% | 145 | 8.9% |
[ 21.0% - 21.5% ] 21.46% | 494 | 25.2% |
[ 21.5% - 22.0% ] 21.99% | 141 | 18.3% |
[ 22.5% - 23.0% ] 22.52% | 595 | 2.9% |
[ 23.5% - 24.0% ] 23.64% | 110 | 9.3% |
[ 25.5% - 26.0% ] 25.60% | 250 | 8.7% |
[ 26.5% - 27.0% ] 26.55% | 531 | 7.5% |
[ 26.5% - 27.0% ] 26.81% | 235 | 7.0% |