Lithuanian Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Lithuanian Female Poverty Among 25-34 Year Olds
12.4%
POVERTY | FEMALES 25-34
86.5/ 100
METRIC RATING
74th/ 347
METRIC RANK
Lithuanian Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 408,308,805 people shows a substantial positive correlation between the proportion of Lithuanians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.520 and weighted average of 12.4%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 1.5% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Lithuanians and poverty level among females between the ages 25 and 34 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 between the ages 25 and 34 within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.
Demographics Similar to Lithuanians by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Lithuanians are Ukrainian (12.4%, a difference of 0.030%), Indonesian (12.4%, a difference of 0.13%), Immigrants from Malaysia (12.4%, a difference of 0.27%), Armenian (12.4%, a difference of 0.32%), and Immigrants from Croatia (12.5%, a difference of 0.42%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Immigrants from Northern Europe | 87.2 /100 | #67 | Excellent 12.3% |
| Immigrants from Scotland | 87.1 /100 | #68 | Excellent 12.3% |
| Immigrants from Albania | 87.1 /100 | #69 | Excellent 12.3% |
| Immigrants from Ukraine | 86.9 /100 | #70 | Excellent 12.3% |
| Armenians | 86.7 /100 | #71 | Excellent 12.4% |
| Immigrants from Malaysia | 86.6 /100 | #72 | Excellent 12.4% |
| Indonesians | 86.5 /100 | #73 | Excellent 12.4% |
| Lithuanians | 86.5 /100 | #74 | Excellent 12.4% |
| Ukrainians | 86.4 /100 | #75 | Excellent 12.4% |
| Immigrants from Croatia | 86.2 /100 | #76 | Excellent 12.5% |
| Vietnamese | 86.1 /100 | #77 | Excellent 12.5% |
| Argentineans | 86.1 /100 | #78 | Excellent 12.5% |
| Estonians | 86.0 /100 | #79 | Excellent 12.5% |
| Jordanians | 85.9 /100 | #80 | Excellent 12.5% |
| Palestinians | 85.8 /100 | #81 | Excellent 12.6% |
Lithuanian Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Lithuanian Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.080% | 4.9% |
| Maximum | 23.8% | 71.1% |
| Range | 23.7% | 66.2% |
| Mean | 6.5% | 20.2% |
| Median | 5.4% | 14.8% |
| Interquartile 25% (IQ1) | 2.6% | 11.0% |
| Interquartile 75% (IQ3) | 9.0% | 25.4% |
| Interquartile Range (IQR) | 6.4% | 14.5% |
| Standard Deviation (Sample) | 5.2% | 14.6% |
| Standard Deviation (Population) | 5.2% | 14.5% |
Correlation Details
| Lithuanian Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.080% | 230,544,899 | 15.1% |
[ 0.0% - 0.5% ] 0.23% | 91,450,322 | 12.8% |
[ 0.0% - 0.5% ] 0.40% | 40,592,958 | 11.2% |
[ 0.5% - 1.0% ] 0.57% | 17,581,950 | 11.0% |
[ 0.5% - 1.0% ] 0.74% | 9,161,333 | 11.0% |
[ 0.5% - 1.0% ] 0.90% | 6,176,478 | 11.1% |
[ 1.0% - 1.5% ] 1.07% | 3,476,353 | 11.4% |
[ 1.0% - 1.5% ] 1.23% | 2,299,845 | 9.5% |
[ 1.0% - 1.5% ] 1.39% | 1,537,079 | 11.8% |
[ 1.5% - 2.0% ] 1.56% | 1,337,243 | 12.2% |
[ 1.5% - 2.0% ] 1.73% | 947,781 | 9.5% |
[ 1.5% - 2.0% ] 1.88% | 443,784 | 15.0% |
[ 2.0% - 2.5% ] 2.06% | 436,457 | 11.6% |
[ 2.0% - 2.5% ] 2.22% | 427,238 | 13.9% |
[ 2.0% - 2.5% ] 2.38% | 460,928 | 12.6% |
[ 2.5% - 3.0% ] 2.54% | 274,736 | 10.2% |
[ 2.5% - 3.0% ] 2.71% | 249,126 | 12.7% |
[ 2.5% - 3.0% ] 2.89% | 177,687 | 13.6% |
[ 3.0% - 3.5% ] 3.02% | 55,215 | 18.5% |
[ 3.0% - 3.5% ] 3.22% | 61,938 | 14.8% |
[ 3.0% - 3.5% ] 3.38% | 62,505 | 15.7% |
[ 3.5% - 4.0% ] 3.51% | 61,399 | 15.2% |
[ 3.5% - 4.0% ] 3.70% | 14,108 | 15.8% |
[ 3.5% - 4.0% ] 3.86% | 40,797 | 22.9% |
[ 4.0% - 4.5% ] 4.07% | 59,947 | 12.6% |
[ 4.0% - 4.5% ] 4.20% | 20,904 | 16.7% |
[ 4.0% - 4.5% ] 4.39% | 22,601 | 30.5% |
[ 4.5% - 5.0% ] 4.56% | 7,508 | 10.2% |
[ 4.5% - 5.0% ] 4.67% | 19,069 | 13.9% |
[ 4.5% - 5.0% ] 4.87% | 46,388 | 6.9% |
[ 5.0% - 5.5% ] 5.05% | 17,816 | 15.5% |
[ 5.0% - 5.5% ] 5.19% | 3,872 | 33.3% |
[ 5.0% - 5.5% ] 5.39% | 4,308 | 34.0% |
[ 5.5% - 6.0% ] 5.52% | 45,285 | 9.0% |
[ 5.5% - 6.0% ] 5.63% | 25,258 | 4.9% |
[ 5.5% - 6.0% ] 5.87% | 2,793 | 21.5% |
[ 5.5% - 6.0% ] 6.00% | 15,267 | 7.9% |
[ 6.0% - 6.5% ] 6.37% | 377 | 71.1% |
[ 6.5% - 7.0% ] 6.54% | 22,348 | 27.2% |
[ 6.5% - 7.0% ] 6.76% | 3,182 | 10.7% |
[ 6.5% - 7.0% ] 6.86% | 14,480 | 12.0% |
[ 6.5% - 7.0% ] 6.97% | 244 | 16.7% |
[ 7.0% - 7.5% ] 7.24% | 773 | 44.3% |
[ 7.0% - 7.5% ] 7.46% | 2,773 | 9.3% |
[ 7.5% - 8.0% ] 7.68% | 3,097 | 24.5% |
[ 7.5% - 8.0% ] 7.87% | 14,305 | 10.1% |
[ 8.0% - 8.5% ] 8.50% | 4,366 | 14.6% |
[ 8.5% - 9.0% ] 8.68% | 9,059 | 39.1% |
[ 8.5% - 9.0% ] 8.83% | 3,841 | 22.5% |
[ 9.0% - 9.5% ] 9.23% | 3,577 | 29.4% |
[ 9.0% - 9.5% ] 9.31% | 24,589 | 10.1% |
[ 9.5% - 10.0% ] 9.53% | 3,180 | 5.3% |
[ 9.5% - 10.0% ] 9.99% | 4,203 | 25.1% |
[ 10.0% - 10.5% ] 10.20% | 20,807 | 6.3% |
[ 10.5% - 11.0% ] 10.75% | 335 | 40.0% |
[ 13.0% - 13.5% ] 13.20% | 1,576 | 22.4% |
[ 13.5% - 14.0% ] 13.64% | 264 | 40.0% |
[ 14.0% - 14.5% ] 14.12% | 255 | 62.5% |
[ 14.5% - 15.0% ] 14.85% | 1,360 | 25.7% |
[ 15.0% - 15.5% ] 15.17% | 1,622 | 38.9% |
[ 15.5% - 16.0% ] 15.84% | 1,452 | 28.1% |
[ 15.5% - 16.0% ] 15.87% | 775 | 59.1% |
[ 16.0% - 16.5% ] 16.26% | 1,421 | 8.9% |
[ 21.0% - 21.5% ] 21.32% | 1,243 | 16.1% |
[ 23.5% - 24.0% ] 23.81% | 126 | 60.0% |