Immigrants from Lithuania Female Poverty
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Immigrants from Lithuania
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Female Poverty
Immigrants from Lithuania Female Poverty
11.3%
POVERTY | FEMALES
99.9/ 100
METRIC RATING
13th/ 347
METRIC RANK
Immigrants from Lithuania Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 117,711,686 people shows a mild positive correlation between the proportion of Immigrants from Lithuania and poverty level among females in the United States with a correlation coefficient (R) of 0.384 and weighted average of 11.3%. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is an increase of 0.76% in poverty level among females.
It is essential to understand that the correlation between the percentage of Immigrants from Lithuania and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Lithuania influences an upward or downward trend in the level of poverty level among females within an area, or if Immigrants from Lithuania simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Immigrants from Lithuania by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Lithuania are Bhutanese (11.3%, a difference of 0.010%), Maltese (11.2%, a difference of 0.47%), Immigrants from Hong Kong (11.2%, a difference of 0.58%), Lithuanian (11.4%, a difference of 0.96%), and Latvian (11.4%, a difference of 1.3%).
| Demographics | Rating | Rank | Female Poverty |
| Immigrants from Ireland | 99.9 /100 | #6 | Exceptional 11.0% |
| 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% |
Immigrants from Lithuania Female Poverty Correlation Summary
| Measurement | Immigrants from Lithuania Data | Female Poverty Data |
| Minimum | 0.022% | 0.39% |
| Maximum | 13.4% | 25.2% |
| Range | 13.3% | 24.8% |
| Mean | 1.9% | 8.8% |
| Median | 1.4% | 8.3% |
| Interquartile 25% (IQ1) | 0.65% | 5.5% |
| Interquartile 75% (IQ3) | 2.1% | 10.6% |
| Interquartile Range (IQR) | 1.5% | 5.1% |
| Standard Deviation (Sample) | 2.5% | 5.0% |
| Standard Deviation (Population) | 2.5% | 4.9% |
Correlation Details
| Immigrants from Lithuania Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.022% | 102,984,532 | 14.6% |
[ 0.0% - 0.5% ] 0.13% | 8,126,957 | 10.5% |
[ 0.0% - 0.5% ] 0.23% | 3,211,343 | 10.4% |
[ 0.0% - 0.5% ] 0.31% | 1,266,927 | 9.2% |
[ 0.0% - 0.5% ] 0.41% | 561,608 | 7.8% |
[ 0.0% - 0.5% ] 0.50% | 361,539 | 8.5% |
[ 0.5% - 1.0% ] 0.61% | 271,351 | 7.5% |
[ 0.5% - 1.0% ] 0.69% | 192,841 | 8.7% |
[ 0.5% - 1.0% ] 0.80% | 70,559 | 10.6% |
[ 0.5% - 1.0% ] 0.87% | 134,524 | 8.3% |
[ 0.5% - 1.0% ] 0.96% | 19,741 | 5.2% |
[ 1.0% - 1.5% ] 1.06% | 58,904 | 19.2% |
[ 1.0% - 1.5% ] 1.14% | 122,775 | 7.6% |
[ 1.0% - 1.5% ] 1.22% | 6,743 | 8.4% |
[ 1.0% - 1.5% ] 1.36% | 38,572 | 7.5% |
[ 1.0% - 1.5% ] 1.43% | 55,353 | 3.3% |
[ 1.5% - 2.0% ] 1.55% | 28,061 | 12.9% |
[ 1.5% - 2.0% ] 1.59% | 44,406 | 7.8% |
[ 1.5% - 2.0% ] 1.67% | 12,778 | 3.5% |
[ 1.5% - 2.0% ] 1.82% | 16,833 | 10.6% |
[ 1.5% - 2.0% ] 1.85% | 51,206 | 12.0% |
[ 2.0% - 2.5% ] 2.12% | 5,862 | 5.8% |
[ 2.0% - 2.5% ] 2.14% | 10,443 | 12.3% |
[ 2.0% - 2.5% ] 2.33% | 10,268 | 4.8% |
[ 2.5% - 3.0% ] 2.60% | 1,536 | 0.39% |
[ 3.0% - 3.5% ] 3.47% | 26,810 | 3.8% |
[ 3.5% - 4.0% ] 3.76% | 18,533 | 3.4% |
[ 5.5% - 6.0% ] 5.88% | 187 | 5.9% |
[ 13.0% - 13.5% ] 13.36% | 494 | 25.2% |