Immigrants from Korea Female Poverty Among 25-34 Year Olds
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Immigrants from Korea
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Female Poverty Among 25-34 Year Olds
Immigrants from Korea Female Poverty Among 25-34 Year Olds
11.1%
POVERTY | FEMALES 25-34
100.0/ 100
METRIC RATING
11th/ 347
METRIC RANK
Immigrants from Korea Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 408,247,185 people shows a moderate negative correlation between the proportion of Immigrants from Korea and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.420 and weighted average of 11.1%. On average, for every 1% (one percent) increase in Immigrants from Korea within a typical geography, there is a decrease of 0.21% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Immigrants from Korea 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 Immigrants from Korea 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 Immigrants from Korea 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 Immigrants from Korea by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Immigrants from Korea are Immigrants from Ireland (11.2%, a difference of 0.13%), Burmese (11.2%, a difference of 0.24%), Indian (Asian) (11.2%, a difference of 0.24%), Assyrian/Chaldean/Syriac (11.2%, a difference of 0.35%), and Immigrants from Bolivia (11.2%, a difference of 0.39%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Thais | 100.0 /100 | #4 | Exceptional 10.2% |
| Immigrants from Hong Kong | 100.0 /100 | #5 | Exceptional 10.4% |
| Immigrants from South Central Asia | 100.0 /100 | #6 | Exceptional 10.8% |
| Chinese | 100.0 /100 | #7 | Exceptional 11.0% |
| Immigrants from Iran | 100.0 /100 | #8 | Exceptional 11.0% |
| Immigrants from Singapore | 100.0 /100 | #9 | Exceptional 11.1% |
| Immigrants from Lithuania | 100.0 /100 | #10 | Exceptional 11.1% |
| Immigrants from Korea | 100.0 /100 | #11 | Exceptional 11.1% |
| Immigrants from Ireland | 100.0 /100 | #12 | Exceptional 11.2% |
| Burmese | 100.0 /100 | #13 | Exceptional 11.2% |
| Indians (Asian) | 100.0 /100 | #14 | Exceptional 11.2% |
| Assyrians/Chaldeans/Syriacs | 100.0 /100 | #15 | Exceptional 11.2% |
| Immigrants from Bolivia | 100.0 /100 | #16 | Exceptional 11.2% |
| Immigrants from China | 100.0 /100 | #17 | Exceptional 11.2% |
| Immigrants from Eastern Asia | 100.0 /100 | #18 | Exceptional 11.2% |
Immigrants from Korea Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Immigrants from Korea Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.13% | 0.35% |
| Maximum | 39.4% | 18.1% |
| Range | 39.3% | 17.7% |
| Mean | 9.4% | 8.6% |
| Median | 7.5% | 8.8% |
| Interquartile 25% (IQ1) | 3.8% | 5.9% |
| Interquartile 75% (IQ3) | 14.4% | 11.1% |
| Interquartile Range (IQR) | 10.6% | 5.2% |
| Standard Deviation (Sample) | 8.0% | 4.1% |
| Standard Deviation (Population) | 7.9% | 4.0% |
Correlation Details
| Immigrants from Korea Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.13% | 258,812,880 | 14.8% |
[ 0.0% - 0.5% ] 0.45% | 76,592,346 | 12.1% |
[ 0.5% - 1.0% ] 0.76% | 28,538,102 | 10.0% |
[ 1.0% - 1.5% ] 1.07% | 15,171,335 | 10.1% |
[ 1.0% - 1.5% ] 1.37% | 7,387,920 | 9.8% |
[ 1.5% - 2.0% ] 1.78% | 7,555,013 | 11.8% |
[ 1.5% - 2.0% ] 1.99% | 3,039,037 | 8.5% |
[ 2.0% - 2.5% ] 2.32% | 1,832,747 | 8.5% |
[ 2.5% - 3.0% ] 2.67% | 1,638,202 | 11.1% |
[ 2.5% - 3.0% ] 2.96% | 1,328,881 | 9.5% |
[ 3.0% - 3.5% ] 3.28% | 912,447 | 10.7% |
[ 3.5% - 4.0% ] 3.60% | 574,724 | 7.8% |
[ 3.5% - 4.0% ] 3.93% | 441,759 | 10.8% |
[ 4.0% - 4.5% ] 4.20% | 446,808 | 8.4% |
[ 4.0% - 4.5% ] 4.50% | 532,864 | 11.0% |
[ 4.5% - 5.0% ] 4.83% | 482,714 | 12.8% |
[ 5.0% - 5.5% ] 5.12% | 196,028 | 10.7% |
[ 5.0% - 5.5% ] 5.45% | 233,308 | 6.7% |
[ 5.5% - 6.0% ] 5.76% | 260,136 | 11.5% |
[ 6.0% - 6.5% ] 6.05% | 184,026 | 9.3% |
[ 6.0% - 6.5% ] 6.33% | 190,469 | 5.6% |
[ 6.5% - 7.0% ] 6.79% | 162,521 | 7.2% |
[ 6.5% - 7.0% ] 6.96% | 87,480 | 2.7% |
[ 7.0% - 7.5% ] 7.37% | 93,669 | 12.1% |
[ 7.5% - 8.0% ] 7.69% | 224,852 | 11.1% |
[ 7.5% - 8.0% ] 7.91% | 170,007 | 2.8% |
[ 8.0% - 8.5% ] 8.21% | 237,743 | 9.4% |
[ 8.5% - 9.0% ] 8.56% | 189,492 | 8.3% |
[ 8.5% - 9.0% ] 8.86% | 138,479 | 18.1% |
[ 9.0% - 9.5% ] 9.23% | 32,663 | 2.4% |
[ 9.5% - 10.0% ] 9.63% | 27,428 | 4.8% |
[ 9.5% - 10.0% ] 9.69% | 98,267 | 7.2% |
[ 10.0% - 10.5% ] 10.25% | 37,647 | 6.0% |
[ 11.0% - 11.5% ] 11.09% | 56,628 | 17.0% |
[ 11.5% - 12.0% ] 11.98% | 9,273 | 12.8% |
[ 13.5% - 14.0% ] 13.57% | 36,151 | 9.1% |
[ 15.0% - 15.5% ] 15.20% | 52,799 | 13.3% |
[ 15.0% - 15.5% ] 15.40% | 5,336 | 4.6% |
[ 15.5% - 16.0% ] 15.71% | 18,210 | 3.5% |
[ 16.0% - 16.5% ] 16.50% | 39,799 | 6.3% |
[ 16.5% - 17.0% ] 16.52% | 44,550 | 5.9% |
[ 18.0% - 18.5% ] 18.33% | 38,400 | 15.7% |
[ 18.0% - 18.5% ] 18.48% | 9,291 | 2.2% |
[ 18.5% - 19.0% ] 18.97% | 5,863 | 6.6% |
[ 19.0% - 19.5% ] 19.20% | 22,930 | 7.1% |
[ 20.5% - 21.0% ] 20.56% | 11,314 | 0.35% |
[ 31.0% - 31.5% ] 31.21% | 4,185 | 1.2% |
[ 39.0% - 39.5% ] 39.39% | 40,462 | 5.3% |