Immigrants from Northern Europe Child Poverty Among Girls Under 16
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Immigrants from Northern Europe
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Child Poverty Among Girls Under 16
Immigrants from Northern Europe Child Poverty Among Girls Under 16
13.8%
POVERTY | GIRLS < 16
99.6/ 100
METRIC RATING
35th/ 347
METRIC RANK
Immigrants from Northern Europe Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 463,851,926 people shows a substantial positive correlation between the proportion of Immigrants from Northern Europe and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.599 and weighted average of 13.8%. On average, for every 1% (one percent) increase in Immigrants from Northern Europe within a typical geography, there is an increase of 3.4% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Northern 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 Northern 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 Northern 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 Northern 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 Northern Europe are Russian (13.9%, a difference of 0.15%), Lithuanian (13.9%, a difference of 0.17%), Immigrants from Moldova (13.9%, a difference of 0.47%), Maltese (13.7%, a difference of 0.98%), and Swedish (13.7%, a difference of 1.0%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Tongans | 99.8 /100 | #28 | Exceptional 13.6% |
Bolivians | 99.8 /100 | #29 | Exceptional 13.6% |
Asians | 99.7 /100 | #30 | Exceptional 13.7% |
Turks | 99.7 /100 | #31 | Exceptional 13.7% |
Danes | 99.7 /100 | #32 | Exceptional 13.7% |
Swedes | 99.7 /100 | #33 | Exceptional 13.7% |
Maltese | 99.7 /100 | #34 | Exceptional 13.7% |
Immigrants from Northern Europe | 99.6 /100 | #35 | Exceptional 13.8% |
Russians | 99.6 /100 | #36 | Exceptional 13.9% |
Lithuanians | 99.6 /100 | #37 | Exceptional 13.9% |
Immigrants from Moldova | 99.6 /100 | #38 | Exceptional 13.9% |
Immigrants from Australia | 99.5 /100 | #39 | Exceptional 14.0% |
Immigrants from Sri Lanka | 99.5 /100 | #40 | Exceptional 14.0% |
Immigrants from Bolivia | 99.5 /100 | #41 | Exceptional 14.0% |
Immigrants from Scotland | 99.4 /100 | #42 | Exceptional 14.0% |
Immigrants from Northern Europe Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Northern Europe Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.13% | 2.4% |
Maximum | 21.2% | 100.0% |
Range | 21.1% | 97.6% |
Mean | 6.4% | 26.6% |
Median | 4.9% | 10.2% |
Interquartile 25% (IQ1) | 2.4% | 8.7% |
Interquartile 75% (IQ3) | 7.6% | 30.9% |
Interquartile Range (IQR) | 5.2% | 22.2% |
Standard Deviation (Sample) | 5.6% | 31.8% |
Standard Deviation (Population) | 5.5% | 31.3% |
Correlation Details
Immigrants from Northern Europe Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.13% | 268,540,661 | 19.1% |
[ 0.0% - 0.5% ] 0.40% | 112,476,388 | 14.4% |
[ 0.5% - 1.0% ] 0.66% | 48,287,250 | 13.4% |
[ 0.5% - 1.0% ] 0.97% | 16,992,498 | 10.1% |
[ 1.0% - 1.5% ] 1.26% | 7,870,141 | 9.8% |
[ 1.5% - 2.0% ] 1.55% | 4,702,046 | 8.6% |
[ 1.5% - 2.0% ] 1.80% | 1,921,086 | 8.5% |
[ 2.0% - 2.5% ] 2.08% | 1,383,905 | 7.5% |
[ 2.0% - 2.5% ] 2.39% | 544,165 | 9.2% |
[ 2.5% - 3.0% ] 2.67% | 330,012 | 9.3% |
[ 2.5% - 3.0% ] 2.92% | 166,417 | 10.2% |
[ 3.0% - 3.5% ] 3.24% | 178,104 | 8.7% |
[ 3.5% - 4.0% ] 3.53% | 125,837 | 9.8% |
[ 3.5% - 4.0% ] 3.78% | 101,690 | 8.6% |
[ 4.0% - 4.5% ] 4.09% | 48,679 | 11.1% |
[ 4.0% - 4.5% ] 4.31% | 52,843 | 9.9% |
[ 4.5% - 5.0% ] 4.65% | 39,674 | 12.9% |
[ 4.5% - 5.0% ] 4.94% | 11,731 | 9.4% |
[ 5.0% - 5.5% ] 5.11% | 8,077 | 30.9% |
[ 5.0% - 5.5% ] 5.48% | 34,877 | 6.7% |
[ 5.5% - 6.0% ] 5.88% | 20,088 | 7.8% |
[ 6.0% - 6.5% ] 6.06% | 429 | 9.7% |
[ 6.0% - 6.5% ] 6.25% | 80 | 100.0% |
[ 6.5% - 7.0% ] 6.60% | 4,973 | 2.4% |
[ 6.5% - 7.0% ] 6.83% | 1,361 | 87.5% |
[ 7.0% - 7.5% ] 7.28% | 5,346 | 7.6% |
[ 7.5% - 8.0% ] 7.60% | 434 | 11.3% |
[ 7.5% - 8.0% ] 7.84% | 1,288 | 15.8% |
[ 10.0% - 10.5% ] 10.20% | 402 | 100.0% |
[ 12.5% - 13.0% ] 12.71% | 291 | 36.8% |
[ 13.5% - 14.0% ] 13.69% | 168 | 80.0% |
[ 16.0% - 16.5% ] 16.07% | 361 | 12.5% |
[ 18.0% - 18.5% ] 18.42% | 38 | 100.0% |
[ 20.0% - 20.5% ] 20.30% | 133 | 90.0% |
[ 21.0% - 21.5% ] 21.19% | 453 | 40.0% |