Immigrants from Korea Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Immigrants from Korea Child Poverty Among Girls Under 16
13.1%
POVERTY | GIRLS < 16
99.9/ 100
METRIC RATING
18th/ 347
METRIC RANK
Immigrants from Korea Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 407,349,418 people shows a weak positive correlation between the proportion of Immigrants from Korea and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.227 and weighted average of 13.1%. On average, for every 1% (one percent) increase in Immigrants from Korea within a typical geography, there is an increase of 0.23% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Korea and poverty level among girls under the age of 16 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 girls under the age of 16 within an area, or if Immigrants from Korea simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.
Demographics Similar to Immigrants from Korea by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Korea are Bulgarian (13.1%, a difference of 0.020%), Immigrants from Lithuania (13.1%, a difference of 0.10%), Cypriot (13.2%, a difference of 0.37%), Okinawan (13.0%, a difference of 1.0%), and Burmese (13.0%, a difference of 1.0%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Immigrants from South Central Asia | 100.0 /100 | #11 | Exceptional 12.7% |
Bhutanese | 100.0 /100 | #12 | Exceptional 12.7% |
Immigrants from Ireland | 99.9 /100 | #13 | Exceptional 12.9% |
Burmese | 99.9 /100 | #14 | Exceptional 13.0% |
Okinawans | 99.9 /100 | #15 | Exceptional 13.0% |
Immigrants from Lithuania | 99.9 /100 | #16 | Exceptional 13.1% |
Bulgarians | 99.9 /100 | #17 | Exceptional 13.1% |
Immigrants from Korea | 99.9 /100 | #18 | Exceptional 13.1% |
Cypriots | 99.9 /100 | #19 | Exceptional 13.2% |
Immigrants from Japan | 99.9 /100 | #20 | Exceptional 13.3% |
Assyrians/Chaldeans/Syriacs | 99.9 /100 | #21 | Exceptional 13.3% |
Indians (Asian) | 99.9 /100 | #22 | Exceptional 13.3% |
Norwegians | 99.9 /100 | #23 | Exceptional 13.3% |
Immigrants from Eastern Asia | 99.9 /100 | #24 | Exceptional 13.4% |
Immigrants from China | 99.8 /100 | #25 | Exceptional 13.4% |
Immigrants from Korea Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Korea Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.13% | 1.2% |
Maximum | 39.4% | 43.4% |
Range | 39.3% | 42.2% |
Mean | 9.4% | 11.6% |
Median | 7.8% | 10.4% |
Interquartile 25% (IQ1) | 3.9% | 6.9% |
Interquartile 75% (IQ3) | 13.6% | 15.1% |
Interquartile Range (IQR) | 9.6% | 8.2% |
Standard Deviation (Sample) | 7.6% | 7.8% |
Standard Deviation (Population) | 7.6% | 7.7% |
Correlation Details
Immigrants from Korea Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.13% | 258,628,323 | 18.3% |
[ 0.0% - 0.5% ] 0.45% | 76,164,143 | 15.1% |
[ 0.5% - 1.0% ] 0.76% | 28,406,244 | 10.7% |
[ 1.0% - 1.5% ] 1.07% | 15,097,907 | 10.5% |
[ 1.0% - 1.5% ] 1.37% | 7,370,935 | 9.4% |
[ 1.5% - 2.0% ] 1.78% | 7,488,140 | 15.2% |
[ 1.5% - 2.0% ] 1.99% | 3,033,541 | 8.9% |
[ 2.0% - 2.5% ] 2.32% | 1,828,606 | 10.6% |
[ 2.5% - 3.0% ] 2.66% | 1,646,156 | 11.5% |
[ 2.5% - 3.0% ] 2.96% | 1,304,935 | 10.4% |
[ 3.0% - 3.5% ] 3.28% | 915,490 | 9.1% |
[ 3.5% - 4.0% ] 3.60% | 593,750 | 8.8% |
[ 3.5% - 4.0% ] 3.94% | 433,464 | 10.4% |
[ 4.0% - 4.5% ] 4.20% | 451,500 | 6.8% |
[ 4.0% - 4.5% ] 4.50% | 526,407 | 8.9% |
[ 4.5% - 5.0% ] 4.83% | 473,618 | 11.2% |
[ 5.0% - 5.5% ] 5.11% | 189,240 | 8.9% |
[ 5.0% - 5.5% ] 5.45% | 209,060 | 5.2% |
[ 5.5% - 6.0% ] 5.76% | 254,711 | 17.5% |
[ 6.0% - 6.5% ] 6.05% | 176,336 | 5.4% |
[ 6.0% - 6.5% ] 6.33% | 190,469 | 7.7% |
[ 6.5% - 7.0% ] 6.79% | 161,884 | 6.2% |
[ 6.5% - 7.0% ] 6.96% | 74,593 | 3.4% |
[ 7.0% - 7.5% ] 7.37% | 93,669 | 18.1% |
[ 7.5% - 8.0% ] 7.69% | 222,687 | 12.2% |
[ 7.5% - 8.0% ] 7.91% | 170,007 | 3.3% |
[ 8.0% - 8.5% ] 8.21% | 238,163 | 11.6% |
[ 8.5% - 9.0% ] 8.56% | 189,492 | 6.4% |
[ 8.5% - 9.0% ] 8.86% | 138,479 | 27.0% |
[ 9.0% - 9.5% ] 9.16% | 51,089 | 3.9% |
[ 9.5% - 10.0% ] 9.63% | 27,788 | 11.2% |
[ 9.5% - 10.0% ] 9.69% | 98,267 | 7.3% |
[ 10.0% - 10.5% ] 10.25% | 37,647 | 8.2% |
[ 11.0% - 11.5% ] 11.09% | 56,628 | 32.6% |
[ 11.0% - 11.5% ] 11.32% | 4,098 | 18.6% |
[ 11.5% - 12.0% ] 11.98% | 9,273 | 12.9% |
[ 12.0% - 12.5% ] 12.46% | 30,598 | 1.2% |
[ 13.5% - 14.0% ] 13.57% | 36,151 | 11.8% |
[ 13.5% - 14.0% ] 13.86% | 20,008 | 4.0% |
[ 15.0% - 15.5% ] 15.20% | 52,799 | 18.4% |
[ 15.0% - 15.5% ] 15.40% | 5,336 | 10.9% |
[ 15.5% - 16.0% ] 15.71% | 18,210 | 4.5% |
[ 16.0% - 16.5% ] 16.50% | 39,799 | 6.9% |
[ 16.5% - 17.0% ] 16.52% | 44,550 | 7.3% |
[ 17.5% - 18.0% ] 17.93% | 37,754 | 43.4% |
[ 18.0% - 18.5% ] 18.33% | 38,400 | 18.0% |
[ 18.0% - 18.5% ] 18.50% | 18,564 | 8.1% |
[ 18.5% - 19.0% ] 18.97% | 5,863 | 1.3% |
[ 31.0% - 31.5% ] 31.21% | 4,185 | 19.4% |
[ 39.0% - 39.5% ] 39.39% | 40,462 | 20.8% |