Danish Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Danish Child Poverty Among Girls Under 16
13.7%
POVERTY | GIRLS < 16
99.7/ 100
METRIC RATING
32nd/ 347
METRIC RANK
Danish Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 460,459,007 people shows a substantial positive correlation between the proportion of Danes and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.581 and weighted average of 13.7%. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 1.1% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Danes 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 Danes influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Danes 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 Danes by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Danes are Swedish (13.7%, a difference of 0.030%), Turkish (13.7%, a difference of 0.040%), Maltese (13.7%, a difference of 0.080%), Asian (13.7%, a difference of 0.16%), and Bolivian (13.6%, a difference of 0.83%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from China | 99.8 /100 | #25 | Exceptional 13.4% |
| Eastern Europeans | 99.8 /100 | #26 | Exceptional 13.5% |
| Latvians | 99.8 /100 | #27 | Exceptional 13.5% |
| 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% |
Danish Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Danish Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.18% | 0.79% |
| Maximum | 53.8% | 100.0% |
| Range | 53.7% | 99.2% |
| Mean | 15.5% | 23.1% |
| Median | 13.8% | 14.1% |
| Interquartile 25% (IQ1) | 6.8% | 10.5% |
| Interquartile 75% (IQ3) | 21.8% | 29.7% |
| Interquartile Range (IQR) | 15.0% | 19.2% |
| Standard Deviation (Sample) | 11.0% | 21.5% |
| Standard Deviation (Population) | 10.9% | 21.3% |
Correlation Details
| Danish Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.18% | 350,431,036 | 17.9% |
[ 0.5% - 1.0% ] 0.71% | 66,808,848 | 11.9% |
[ 1.0% - 1.5% ] 1.20% | 23,058,242 | 11.3% |
[ 1.5% - 2.0% ] 1.70% | 8,392,494 | 11.8% |
[ 2.0% - 2.5% ] 2.25% | 2,877,694 | 12.8% |
[ 2.5% - 3.0% ] 2.73% | 1,789,461 | 11.2% |
[ 3.0% - 3.5% ] 3.22% | 1,351,770 | 12.0% |
[ 3.5% - 4.0% ] 3.75% | 1,583,877 | 10.5% |
[ 4.0% - 4.5% ] 4.21% | 1,067,816 | 10.9% |
[ 4.5% - 5.0% ] 4.72% | 898,778 | 10.2% |
[ 5.0% - 5.5% ] 5.27% | 743,977 | 11.0% |
[ 5.5% - 6.0% ] 5.78% | 406,956 | 10.3% |
[ 6.0% - 6.5% ] 6.18% | 237,125 | 14.1% |
[ 6.5% - 7.0% ] 6.80% | 161,539 | 9.9% |
[ 7.0% - 7.5% ] 7.23% | 111,618 | 10.1% |
[ 7.5% - 8.0% ] 7.73% | 191,442 | 8.5% |
[ 8.0% - 8.5% ] 8.28% | 95,012 | 9.7% |
[ 8.5% - 9.0% ] 8.77% | 51,010 | 16.5% |
[ 9.0% - 9.5% ] 9.30% | 15,255 | 23.6% |
[ 9.5% - 10.0% ] 9.79% | 30,086 | 14.7% |
[ 10.0% - 10.5% ] 10.41% | 10,898 | 5.6% |
[ 10.5% - 11.0% ] 10.76% | 21,059 | 13.3% |
[ 11.0% - 11.5% ] 11.24% | 19,657 | 9.1% |
[ 11.5% - 12.0% ] 11.77% | 4,615 | 36.7% |
[ 12.0% - 12.5% ] 12.29% | 2,311 | 40.0% |
[ 12.5% - 13.0% ] 12.71% | 15,364 | 22.6% |
[ 13.0% - 13.5% ] 13.39% | 13,584 | 15.1% |
[ 13.5% - 14.0% ] 13.77% | 8,908 | 21.7% |
[ 14.0% - 14.5% ] 14.38% | 10,252 | 21.2% |
[ 14.5% - 15.0% ] 14.71% | 843 | 67.3% |
[ 15.0% - 15.5% ] 15.47% | 530 | 32.1% |
[ 15.5% - 16.0% ] 15.74% | 2,141 | 29.7% |
[ 16.0% - 16.5% ] 16.21% | 1,240 | 9.2% |
[ 16.5% - 17.0% ] 16.73% | 4,890 | 11.5% |
[ 17.0% - 17.5% ] 17.45% | 8,969 | 11.6% |
[ 18.0% - 18.5% ] 18.05% | 770 | 38.1% |
[ 18.5% - 19.0% ] 18.68% | 2,206 | 10.6% |
[ 19.0% - 19.5% ] 19.21% | 3,977 | 25.4% |
[ 20.0% - 20.5% ] 20.00% | 800 | 3.8% |
[ 20.0% - 20.5% ] 20.25% | 2,815 | 19.2% |
[ 21.0% - 21.5% ] 21.11% | 1,497 | 37.0% |
[ 21.5% - 22.0% ] 21.78% | 4,017 | 20.1% |
[ 22.5% - 23.0% ] 22.52% | 222 | 50.0% |
[ 25.0% - 25.5% ] 25.43% | 2,937 | 9.5% |
[ 26.0% - 26.5% ] 26.22% | 2,048 | 11.6% |
[ 27.0% - 27.5% ] 27.36% | 793 | 0.79% |
[ 27.5% - 28.0% ] 27.66% | 141 | 100.0% |
[ 28.5% - 29.0% ] 28.78% | 2,946 | 16.3% |
[ 29.0% - 29.5% ] 29.27% | 328 | 51.7% |
[ 29.5% - 30.0% ] 29.75% | 1,852 | 16.2% |
[ 30.5% - 31.0% ] 30.53% | 416 | 40.7% |
[ 31.0% - 31.5% ] 31.37% | 204 | 44.4% |
[ 34.5% - 35.0% ] 34.79% | 891 | 7.8% |
[ 37.5% - 38.0% ] 37.80% | 746 | 73.1% |
[ 53.5% - 54.0% ] 53.85% | 104 | 100.0% |