Danish Child Poverty Under the Age of 5
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Child Poverty Under the Age of 5
Danish Child Poverty Under the Age of 5
14.9%
POVERTY | CHILDREN < 5
99.4/ 100
METRIC RATING
55th/ 347
METRIC RANK
Danish Child Poverty Under the Age of 5 Correlation Chart
The statistical analysis conducted on geographies consisting of 447,094,806 people shows a significant positive correlation between the proportion of Danes and poverty level among children under the age of 5 in the United States with a correlation coefficient (R) of 0.640 and weighted average of 14.9%. 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 children under the age of 5.
It is essential to understand that the correlation between the percentage of Danes and poverty level among children under the age of 5 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 children under the age of 5 within an area, or if Danes simply ended up residing in those areas with higher or lower levels of poverty level among children under the age of 5 due to other factors.
Demographics Similar to Danes by Child Poverty Under the Age of 5
In terms of child poverty under the age of 5, the demographic groups most similar to Danes are Immigrants from Israel (14.9%, a difference of 0.060%), Luxembourger (14.9%, a difference of 0.070%), Immigrants from Pakistan (14.9%, a difference of 0.070%), Egyptian (14.9%, a difference of 0.15%), and Swedish (15.0%, a difference of 0.20%).
| Demographics | Rating | Rank | Child Poverty Under the Age of 5 |
| Immigrants from Czechoslovakia | 99.6 /100 | #48 | Exceptional 14.8% |
| Immigrants from Bulgaria | 99.6 /100 | #49 | Exceptional 14.8% |
| Immigrants from Northern Europe | 99.6 /100 | #50 | Exceptional 14.8% |
| Estonians | 99.6 /100 | #51 | Exceptional 14.8% |
| Immigrants from Serbia | 99.5 /100 | #52 | Exceptional 14.9% |
| Luxembourgers | 99.4 /100 | #53 | Exceptional 14.9% |
| Immigrants from Israel | 99.4 /100 | #54 | Exceptional 14.9% |
| Danes | 99.4 /100 | #55 | Exceptional 14.9% |
| Immigrants from Pakistan | 99.4 /100 | #56 | Exceptional 14.9% |
| Egyptians | 99.4 /100 | #57 | Exceptional 14.9% |
| Swedes | 99.4 /100 | #58 | Exceptional 15.0% |
| Paraguayans | 99.4 /100 | #59 | Exceptional 15.0% |
| Immigrants from Russia | 99.3 /100 | #60 | Exceptional 15.0% |
| Immigrants from Poland | 99.1 /100 | #61 | Exceptional 15.1% |
| Immigrants from Eastern Europe | 99.1 /100 | #62 | Exceptional 15.1% |
Danish Child Poverty Under the Age of 5 Correlation Summary
| Measurement | Danish Data | Child Poverty Under the Age of 5 Data |
| Minimum | 0.18% | 3.2% |
| Maximum | 53.8% | 100.0% |
| Range | 53.7% | 96.8% |
| Mean | 14.6% | 22.1% |
| Median | 13.1% | 14.4% |
| Interquartile 25% (IQ1) | 6.5% | 12.2% |
| Interquartile 75% (IQ3) | 20.1% | 31.7% |
| Interquartile Range (IQR) | 13.6% | 19.5% |
| Standard Deviation (Sample) | 10.5% | 17.6% |
| Standard Deviation (Population) | 10.4% | 17.5% |
Correlation Details
| Danish Percentile | Sample Size | Child Poverty Under the Age of 5 |
[ 0.0% - 0.5% ] 0.18% | 342,415,798 | 18.9% |
[ 0.5% - 1.0% ] 0.71% | 63,863,901 | 12.8% |
[ 1.0% - 1.5% ] 1.20% | 21,821,675 | 12.5% |
[ 1.5% - 2.0% ] 1.70% | 7,895,521 | 13.4% |
[ 2.0% - 2.5% ] 2.24% | 2,622,338 | 14.9% |
[ 2.5% - 3.0% ] 2.73% | 1,659,361 | 13.1% |
[ 3.0% - 3.5% ] 3.21% | 1,252,069 | 13.9% |
[ 3.5% - 4.0% ] 3.75% | 1,484,814 | 11.7% |
[ 4.0% - 4.5% ] 4.21% | 1,072,969 | 12.6% |
[ 4.5% - 5.0% ] 4.72% | 874,995 | 11.9% |
[ 5.0% - 5.5% ] 5.28% | 729,184 | 12.5% |
[ 5.5% - 6.0% ] 5.78% | 404,560 | 12.3% |
[ 6.0% - 6.5% ] 6.18% | 220,092 | 15.2% |
[ 6.5% - 7.0% ] 6.80% | 160,930 | 9.3% |
[ 7.0% - 7.5% ] 7.22% | 112,801 | 13.2% |
[ 7.5% - 8.0% ] 7.73% | 187,460 | 8.4% |
[ 8.0% - 8.5% ] 8.28% | 89,228 | 12.1% |
[ 8.5% - 9.0% ] 8.78% | 45,591 | 17.6% |
[ 9.0% - 9.5% ] 9.27% | 13,677 | 21.8% |
[ 9.5% - 10.0% ] 9.78% | 26,924 | 20.1% |
[ 10.0% - 10.5% ] 10.41% | 8,971 | 12.8% |
[ 10.5% - 11.0% ] 10.77% | 19,161 | 10.3% |
[ 11.0% - 11.5% ] 11.21% | 17,804 | 7.5% |
[ 11.5% - 12.0% ] 11.76% | 4,539 | 33.1% |
[ 12.0% - 12.5% ] 12.23% | 3,319 | 32.0% |
[ 12.5% - 13.0% ] 12.70% | 13,767 | 26.6% |
[ 13.0% - 13.5% ] 13.41% | 12,760 | 22.9% |
[ 13.5% - 14.0% ] 13.77% | 8,288 | 26.4% |
[ 14.0% - 14.5% ] 14.43% | 7,989 | 39.3% |
[ 15.0% - 15.5% ] 15.42% | 707 | 19.3% |
[ 15.5% - 16.0% ] 15.66% | 1,347 | 48.5% |
[ 16.0% - 16.5% ] 16.35% | 526 | 6.0% |
[ 16.5% - 17.0% ] 16.73% | 4,890 | 12.6% |
[ 17.0% - 17.5% ] 17.47% | 7,142 | 3.3% |
[ 17.5% - 18.0% ] 17.70% | 1,960 | 7.5% |
[ 18.0% - 18.5% ] 18.05% | 770 | 12.5% |
[ 18.5% - 19.0% ] 18.83% | 717 | 32.8% |
[ 19.0% - 19.5% ] 19.19% | 3,195 | 12.9% |
[ 20.0% - 20.5% ] 20.00% | 800 | 3.2% |
[ 20.0% - 20.5% ] 20.23% | 4,168 | 31.5% |
[ 21.0% - 21.5% ] 21.19% | 2,869 | 44.9% |
[ 21.5% - 22.0% ] 21.78% | 4,017 | 37.2% |
[ 22.5% - 23.0% ] 22.52% | 222 | 44.4% |
[ 25.0% - 25.5% ] 25.43% | 2,937 | 26.5% |
[ 26.0% - 26.5% ] 26.11% | 1,463 | 10.1% |
[ 27.0% - 27.5% ] 27.36% | 793 | 3.2% |
[ 28.5% - 29.0% ] 28.78% | 2,946 | 35.8% |
[ 29.0% - 29.5% ] 29.46% | 112 | 33.3% |
[ 29.5% - 30.0% ] 29.82% | 1,328 | 35.6% |
[ 30.5% - 31.0% ] 30.53% | 416 | 73.1% |
[ 34.5% - 35.0% ] 34.79% | 891 | 24.1% |
[ 53.5% - 54.0% ] 53.85% | 104 | 100.0% |