Swedish Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Swedish Child Poverty Among Girls Under 16
13.7%
POVERTY | GIRLS < 16
99.7/ 100
METRIC RATING
33rd/ 347
METRIC RANK
Swedish Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 519,531,416 people shows a substantial positive correlation between the proportion of Swedes and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.558 and weighted average of 13.7%. On average, for every 1% (one percent) increase in Swedes within a typical geography, there is an increase of 1.0% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Swedes 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 Swedes influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Swedes 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 Swedes by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Swedes are Danish (13.7%, a difference of 0.030%), Maltese (13.7%, a difference of 0.050%), Turkish (13.7%, a difference of 0.070%), Asian (13.7%, a difference of 0.19%), and Bolivian (13.6%, a difference of 0.87%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| 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% |
| Immigrants from Sri Lanka | 99.5 /100 | #40 | Exceptional 14.0% |
Swedish Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Swedish Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.26% | 2.7% |
| Maximum | 58.3% | 100.0% |
| Range | 58.1% | 97.3% |
| Mean | 19.2% | 23.7% |
| Median | 17.3% | 13.2% |
| Interquartile 25% (IQ1) | 8.5% | 10.7% |
| Interquartile 75% (IQ3) | 26.4% | 21.2% |
| Interquartile Range (IQR) | 18.0% | 10.4% |
| Standard Deviation (Sample) | 13.7% | 25.8% |
| Standard Deviation (Population) | 13.6% | 25.6% |
Correlation Details
| Swedish Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.26% | 207,595,682 | 22.1% |
[ 0.5% - 1.0% ] 0.73% | 130,453,289 | 15.8% |
[ 1.0% - 1.5% ] 1.22% | 68,367,682 | 13.0% |
[ 1.5% - 2.0% ] 1.73% | 37,495,785 | 12.3% |
[ 2.0% - 2.5% ] 2.23% | 24,673,326 | 11.7% |
[ 2.5% - 3.0% ] 2.72% | 16,854,592 | 11.7% |
[ 3.0% - 3.5% ] 3.23% | 9,905,099 | 11.1% |
[ 3.5% - 4.0% ] 3.72% | 6,673,481 | 10.8% |
[ 4.0% - 4.5% ] 4.22% | 3,288,560 | 10.9% |
[ 4.5% - 5.0% ] 4.76% | 2,245,784 | 12.6% |
[ 5.0% - 5.5% ] 5.20% | 2,014,724 | 15.1% |
[ 5.5% - 6.0% ] 5.77% | 1,497,245 | 17.1% |
[ 6.0% - 6.5% ] 6.21% | 1,861,564 | 13.3% |
[ 6.5% - 7.0% ] 6.71% | 1,099,922 | 10.8% |
[ 7.0% - 7.5% ] 7.24% | 829,480 | 10.6% |
[ 7.5% - 8.0% ] 7.77% | 1,049,968 | 10.8% |
[ 8.0% - 8.5% ] 8.21% | 664,925 | 11.4% |
[ 8.5% - 9.0% ] 8.74% | 570,580 | 9.2% |
[ 9.0% - 9.5% ] 9.23% | 495,572 | 8.5% |
[ 9.5% - 10.0% ] 9.71% | 481,886 | 10.5% |
[ 10.0% - 10.5% ] 10.29% | 273,031 | 9.4% |
[ 10.5% - 11.0% ] 10.71% | 105,003 | 10.4% |
[ 11.0% - 11.5% ] 11.23% | 190,129 | 15.7% |
[ 11.5% - 12.0% ] 11.77% | 78,132 | 7.7% |
[ 12.0% - 12.5% ] 12.26% | 109,102 | 11.5% |
[ 12.5% - 13.0% ] 12.71% | 111,973 | 18.2% |
[ 13.0% - 13.5% ] 13.21% | 128,094 | 9.3% |
[ 13.5% - 14.0% ] 13.79% | 54,239 | 18.9% |
[ 14.0% - 14.5% ] 14.24% | 27,900 | 17.2% |
[ 14.5% - 15.0% ] 14.79% | 48,895 | 14.6% |
[ 15.0% - 15.5% ] 15.26% | 51,563 | 14.6% |
[ 15.5% - 16.0% ] 15.65% | 21,850 | 15.3% |
[ 16.0% - 16.5% ] 16.17% | 35,724 | 9.2% |
[ 16.5% - 17.0% ] 16.59% | 40,730 | 10.4% |
[ 17.0% - 17.5% ] 17.34% | 15,003 | 20.2% |
[ 17.5% - 18.0% ] 17.86% | 25,929 | 16.5% |
[ 18.0% - 18.5% ] 18.20% | 7,346 | 19.8% |
[ 18.5% - 19.0% ] 18.78% | 2,566 | 33.0% |
[ 19.0% - 19.5% ] 19.30% | 14,528 | 9.5% |
[ 19.5% - 20.0% ] 19.78% | 12,231 | 11.8% |
[ 20.0% - 20.5% ] 20.18% | 15,979 | 23.9% |
[ 20.5% - 21.0% ] 20.89% | 2,145 | 15.7% |
[ 21.0% - 21.5% ] 21.08% | 185 | 14.3% |
[ 21.5% - 22.0% ] 21.98% | 2,684 | 13.2% |
[ 22.0% - 22.5% ] 22.35% | 801 | 44.5% |
[ 22.5% - 23.0% ] 22.72% | 2,522 | 15.5% |
[ 23.0% - 23.5% ] 23.15% | 5,443 | 11.2% |
[ 23.5% - 24.0% ] 23.91% | 2,238 | 11.4% |
[ 24.0% - 24.5% ] 24.33% | 2,495 | 11.5% |
[ 24.5% - 25.0% ] 24.74% | 3,464 | 7.5% |
[ 25.5% - 26.0% ] 25.95% | 3,542 | 34.1% |
[ 26.0% - 26.5% ] 26.14% | 1,725 | 29.8% |
[ 26.5% - 27.0% ] 26.75% | 1,103 | 10.3% |
[ 27.0% - 27.5% ] 27.35% | 2,494 | 3.5% |
[ 27.5% - 28.0% ] 27.88% | 373 | 100.0% |
[ 28.0% - 28.5% ] 28.17% | 1,608 | 10.8% |
[ 28.5% - 29.0% ] 28.81% | 2,218 | 56.9% |
[ 29.5% - 30.0% ] 29.89% | 2,583 | 2.7% |
[ 31.0% - 31.5% ] 31.02% | 332 | 40.0% |
[ 32.5% - 33.0% ] 32.52% | 1,891 | 34.5% |
[ 37.0% - 37.5% ] 37.50% | 64 | 100.0% |
[ 37.5% - 38.0% ] 37.75% | 347 | 33.3% |
[ 39.0% - 39.5% ] 39.37% | 127 | 72.7% |
[ 40.0% - 40.5% ] 40.46% | 393 | 84.2% |
[ 42.5% - 43.0% ] 42.72% | 426 | 100.0% |
[ 43.0% - 43.5% ] 43.33% | 60 | 100.0% |
[ 56.0% - 56.5% ] 56.00% | 400 | 3.8% |
[ 57.5% - 58.0% ] 57.97% | 276 | 100.0% |
[ 58.0% - 58.5% ] 58.33% | 384 | 3.9% |