Immigrants from Eastern Europe Child Poverty Among Girls Under 16
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Immigrants from Eastern Europe
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Child Poverty Among Girls Under 16
Immigrants from Eastern Europe Child Poverty Among Girls Under 16
14.6%
POVERTY | GIRLS < 16
98.0/ 100
METRIC RATING
75th/ 347
METRIC RANK
Immigrants from Eastern Europe Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 462,372,791 people shows a poor positive correlation between the proportion of Immigrants from Eastern Europe and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.173 and weighted average of 14.6%. On average, for every 1% (one percent) increase in Immigrants from Eastern Europe within a typical geography, there is an increase of 0.14% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Eastern Europe 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 Eastern Europe 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 Eastern Europe 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 Eastern Europe by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Eastern Europe are Taiwanese (14.6%, a difference of 0.070%), Immigrants from Austria (14.6%, a difference of 0.10%), Immigrants from Russia (14.7%, a difference of 0.15%), Tlingit-Haida (14.7%, a difference of 0.16%), and Argentinean (14.7%, a difference of 0.16%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from Argentina | 98.3 /100 | #68 | Exceptional 14.6% |
| Immigrants from Poland | 98.2 /100 | #69 | Exceptional 14.6% |
| Europeans | 98.1 /100 | #70 | Exceptional 14.6% |
| Slovenes | 98.1 /100 | #71 | Exceptional 14.6% |
| Immigrants from Netherlands | 98.1 /100 | #72 | Exceptional 14.6% |
| Immigrants from Austria | 98.0 /100 | #73 | Exceptional 14.6% |
| Taiwanese | 98.0 /100 | #74 | Exceptional 14.6% |
| Immigrants from Eastern Europe | 98.0 /100 | #75 | Exceptional 14.6% |
| Immigrants from Russia | 97.9 /100 | #76 | Exceptional 14.7% |
| Tlingit-Haida | 97.9 /100 | #77 | Exceptional 14.7% |
| Argentineans | 97.9 /100 | #78 | Exceptional 14.7% |
| Immigrants from Turkey | 97.9 /100 | #79 | Exceptional 14.7% |
| Egyptians | 97.9 /100 | #80 | Exceptional 14.7% |
| Ukrainians | 97.7 /100 | #81 | Exceptional 14.7% |
| Macedonians | 97.6 /100 | #82 | Exceptional 14.7% |
Immigrants from Eastern Europe Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from Eastern Europe Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.21% | 2.1% |
| Maximum | 35.3% | 38.5% |
| Range | 35.1% | 36.4% |
| Mean | 11.9% | 13.8% |
| Median | 10.6% | 13.1% |
| Interquartile 25% (IQ1) | 5.2% | 9.3% |
| Interquartile 75% (IQ3) | 16.1% | 16.7% |
| Interquartile Range (IQR) | 10.9% | 7.4% |
| Standard Deviation (Sample) | 8.6% | 6.9% |
| Standard Deviation (Population) | 8.5% | 6.8% |
Correlation Details
| Immigrants from Eastern Europe Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.21% | 258,297,815 | 18.8% |
[ 0.5% - 1.0% ] 0.72% | 92,114,208 | 13.8% |
[ 1.0% - 1.5% ] 1.23% | 45,737,119 | 14.1% |
[ 1.5% - 2.0% ] 1.72% | 19,399,840 | 11.6% |
[ 2.0% - 2.5% ] 2.29% | 14,202,170 | 13.4% |
[ 2.5% - 3.0% ] 2.74% | 6,490,411 | 11.4% |
[ 3.0% - 3.5% ] 3.16% | 12,191,487 | 18.9% |
[ 3.5% - 4.0% ] 3.76% | 3,189,323 | 11.6% |
[ 4.0% - 4.5% ] 4.27% | 2,480,451 | 12.2% |
[ 4.5% - 5.0% ] 4.74% | 1,498,663 | 11.5% |
[ 5.0% - 5.5% ] 5.19% | 983,187 | 9.1% |
[ 5.5% - 6.0% ] 5.82% | 756,450 | 12.9% |
[ 6.0% - 6.5% ] 6.26% | 766,559 | 13.6% |
[ 6.5% - 7.0% ] 6.76% | 430,208 | 10.4% |
[ 7.0% - 7.5% ] 7.23% | 390,633 | 14.0% |
[ 7.5% - 8.0% ] 7.81% | 361,903 | 9.3% |
[ 8.0% - 8.5% ] 8.24% | 361,658 | 16.7% |
[ 8.5% - 9.0% ] 8.77% | 21,862 | 5.5% |
[ 9.0% - 9.5% ] 9.15% | 255,457 | 20.4% |
[ 9.5% - 10.0% ] 9.76% | 247,185 | 15.6% |
[ 10.0% - 10.5% ] 10.24% | 351,696 | 15.2% |
[ 10.5% - 11.0% ] 10.87% | 362,574 | 18.0% |
[ 11.0% - 11.5% ] 11.33% | 130,891 | 9.2% |
[ 11.5% - 12.0% ] 11.65% | 160,141 | 14.8% |
[ 12.0% - 12.5% ] 12.35% | 231,225 | 9.4% |
[ 12.5% - 13.0% ] 12.81% | 106,517 | 26.2% |
[ 13.0% - 13.5% ] 13.25% | 78,606 | 8.8% |
[ 13.5% - 14.0% ] 13.63% | 199,204 | 5.2% |
[ 14.0% - 14.5% ] 14.08% | 45,532 | 17.8% |
[ 15.0% - 15.5% ] 15.27% | 22,886 | 11.7% |
[ 15.5% - 16.0% ] 15.75% | 29,565 | 11.4% |
[ 16.0% - 16.5% ] 16.13% | 153,198 | 19.0% |
[ 18.0% - 18.5% ] 18.18% | 64,944 | 28.5% |
[ 18.5% - 19.0% ] 18.65% | 29,180 | 7.5% |
[ 20.0% - 20.5% ] 20.33% | 1,864 | 2.1% |
[ 20.5% - 21.0% ] 20.89% | 15,291 | 4.2% |
[ 22.0% - 22.5% ] 22.24% | 26,108 | 6.5% |
[ 24.5% - 25.0% ] 24.50% | 8,942 | 6.8% |
[ 25.0% - 25.5% ] 25.01% | 23,200 | 13.5% |
[ 26.5% - 27.0% ] 26.66% | 47,893 | 38.5% |
[ 32.5% - 33.0% ] 32.78% | 23,676 | 26.0% |
[ 35.0% - 35.5% ] 35.35% | 83,069 | 16.1% |