Immigrants from Lithuania Single Female Poverty
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Immigrants from Lithuania
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Single Female Poverty
Immigrants from Lithuania Single Female Poverty
17.8%
POVERTY | SINGLE FEMALES
100.0/ 100
METRIC RATING
11th/ 347
METRIC RANK
Immigrants from Lithuania Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 116,892,262 people shows a moderate negative correlation between the proportion of Immigrants from Lithuania and poverty level among single females in the United States with a correlation coefficient (R) of -0.424 and weighted average of 17.8%. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is a decrease of 2.8% in poverty level among single females.
It is essential to understand that the correlation between the percentage of Immigrants from Lithuania and poverty level among single 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 single 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 single females due to other factors.
Demographics Similar to Immigrants from Lithuania by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Immigrants from Lithuania are Immigrants from South Central Asia (17.8%, a difference of 0.060%), Immigrants from Ireland (17.8%, a difference of 0.090%), Immigrants from Bolivia (17.8%, a difference of 0.32%), Bhutanese (17.7%, a difference of 0.50%), and Bolivian (17.9%, a difference of 0.76%).
Demographics | Rating | Rank | Single Female Poverty |
Immigrants from India | 100.0 /100 | #4 | Exceptional 16.8% |
Assyrians/Chaldeans/Syriacs | 100.0 /100 | #5 | Exceptional 17.0% |
Filipinos | 100.0 /100 | #6 | Exceptional 17.0% |
Thais | 100.0 /100 | #7 | Exceptional 17.3% |
Immigrants from Iran | 100.0 /100 | #8 | Exceptional 17.5% |
Bhutanese | 100.0 /100 | #9 | Exceptional 17.7% |
Immigrants from Ireland | 100.0 /100 | #10 | Exceptional 17.8% |
Immigrants from Lithuania | 100.0 /100 | #11 | Exceptional 17.8% |
Immigrants from South Central Asia | 100.0 /100 | #12 | Exceptional 17.8% |
Immigrants from Bolivia | 100.0 /100 | #13 | Exceptional 17.8% |
Bolivians | 100.0 /100 | #14 | Exceptional 17.9% |
Indians (Asian) | 100.0 /100 | #15 | Exceptional 17.9% |
Iranians | 100.0 /100 | #16 | Exceptional 18.0% |
Immigrants from Korea | 100.0 /100 | #17 | Exceptional 18.1% |
Immigrants from Eastern Asia | 100.0 /100 | #18 | Exceptional 18.1% |
Immigrants from Lithuania Single Female Poverty Correlation Summary
Measurement | Immigrants from Lithuania Data | Single Female Poverty Data |
Minimum | 0.022% | 4.2% |
Maximum | 3.8% | 30.7% |
Range | 3.7% | 26.6% |
Mean | 1.3% | 14.7% |
Median | 1.2% | 14.9% |
Interquartile 25% (IQ1) | 0.61% | 11.3% |
Interquartile 75% (IQ3) | 1.8% | 17.2% |
Interquartile Range (IQR) | 1.2% | 6.0% |
Standard Deviation (Sample) | 0.94% | 6.2% |
Standard Deviation (Population) | 0.92% | 6.1% |
Correlation Details
Immigrants from Lithuania Percentile | Sample Size | Single Female Poverty |
[ 0.0% - 0.5% ] 0.022% | 102,687,467 | 21.5% |
[ 0.0% - 0.5% ] 0.13% | 7,942,226 | 16.9% |
[ 0.0% - 0.5% ] 0.23% | 3,135,982 | 15.9% |
[ 0.0% - 0.5% ] 0.31% | 1,179,262 | 16.7% |
[ 0.0% - 0.5% ] 0.41% | 543,542 | 14.8% |
[ 0.0% - 0.5% ] 0.50% | 352,915 | 12.4% |
[ 0.5% - 1.0% ] 0.61% | 250,721 | 14.5% |
[ 0.5% - 1.0% ] 0.69% | 183,055 | 14.9% |
[ 0.5% - 1.0% ] 0.80% | 64,830 | 11.3% |
[ 0.5% - 1.0% ] 0.87% | 103,819 | 17.4% |
[ 0.5% - 1.0% ] 0.96% | 17,881 | 5.9% |
[ 1.0% - 1.5% ] 1.06% | 57,886 | 30.7% |
[ 1.0% - 1.5% ] 1.13% | 93,210 | 20.8% |
[ 1.0% - 1.5% ] 1.22% | 6,743 | 14.5% |
[ 1.0% - 1.5% ] 1.37% | 33,093 | 24.2% |
[ 1.0% - 1.5% ] 1.44% | 46,943 | 4.2% |
[ 1.5% - 2.0% ] 1.56% | 27,051 | 17.2% |
[ 1.5% - 2.0% ] 1.60% | 25,618 | 13.2% |
[ 1.5% - 2.0% ] 1.69% | 4,022 | 22.3% |
[ 1.5% - 2.0% ] 1.82% | 16,833 | 10.5% |
[ 1.5% - 2.0% ] 1.85% | 51,206 | 8.5% |
[ 2.0% - 2.5% ] 2.12% | 5,862 | 15.3% |
[ 2.0% - 2.5% ] 2.15% | 10,069 | 15.9% |
[ 2.0% - 2.5% ] 2.33% | 9,798 | 11.7% |
[ 3.0% - 3.5% ] 3.47% | 24,670 | 4.8% |
[ 3.5% - 4.0% ] 3.76% | 17,558 | 6.0% |