Immigrants from South Africa Child Poverty Among Girls Under 16
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Immigrants from South Africa
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Child Poverty Among Girls Under 16
Immigrants from South Africa Child Poverty Among Girls Under 16
15.0%
POVERTY | GIRLS < 16
95.6/ 100
METRIC RATING
101st/ 347
METRIC RANK
Immigrants from South Africa Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 230,120,116 people shows a substantial positive correlation between the proportion of Immigrants from South Africa and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.513 and weighted average of 15.0%. On average, for every 1% (one percent) increase in Immigrants from South Africa within a typical geography, there is an increase of 1.2% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from South Africa 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 South Africa 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 South Africa 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 South Africa by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from South Africa are Immigrants from Malaysia (15.0%, a difference of 0.010%), Paraguayan (15.0%, a difference of 0.030%), British (15.0%, a difference of 0.030%), Immigrants from Egypt (15.0%, a difference of 0.070%), and Romanian (15.0%, a difference of 0.19%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from Switzerland | 96.3 /100 | #94 | Exceptional 14.9% |
| Germans | 96.3 /100 | #95 | Exceptional 14.9% |
| Immigrants from France | 96.2 /100 | #96 | Exceptional 14.9% |
| Immigrants from Latvia | 96.1 /100 | #97 | Exceptional 14.9% |
| Basques | 95.9 /100 | #98 | Exceptional 15.0% |
| Immigrants from Egypt | 95.7 /100 | #99 | Exceptional 15.0% |
| Paraguayans | 95.7 /100 | #100 | Exceptional 15.0% |
| Immigrants from South Africa | 95.6 /100 | #101 | Exceptional 15.0% |
| Immigrants from Malaysia | 95.6 /100 | #102 | Exceptional 15.0% |
| British | 95.6 /100 | #103 | Exceptional 15.0% |
| Romanians | 95.3 /100 | #104 | Exceptional 15.0% |
| Immigrants from England | 95.1 /100 | #105 | Exceptional 15.1% |
| Chileans | 95.1 /100 | #106 | Exceptional 15.1% |
| Immigrants from Ukraine | 95.0 /100 | #107 | Exceptional 15.1% |
| Immigrants from Brazil | 94.9 /100 | #108 | Exceptional 15.1% |
Immigrants from South Africa Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from South Africa Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.064% | 1.8% |
| Maximum | 33.5% | 60.5% |
| Range | 33.5% | 58.6% |
| Mean | 5.4% | 18.6% |
| Median | 3.5% | 13.1% |
| Interquartile 25% (IQ1) | 1.8% | 10.6% |
| Interquartile 75% (IQ3) | 6.5% | 19.8% |
| Interquartile Range (IQR) | 4.7% | 9.2% |
| Standard Deviation (Sample) | 6.7% | 15.9% |
| Standard Deviation (Population) | 6.6% | 15.6% |
Correlation Details
| Immigrants from South Africa Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.064% | 217,869,021 | 16.5% |
[ 0.0% - 0.5% ] 0.37% | 9,696,458 | 11.2% |
[ 0.5% - 1.0% ] 0.66% | 1,331,718 | 11.8% |
[ 0.5% - 1.0% ] 0.93% | 638,958 | 12.3% |
[ 1.0% - 1.5% ] 1.21% | 239,860 | 13.2% |
[ 1.0% - 1.5% ] 1.49% | 203,055 | 11.1% |
[ 1.5% - 2.0% ] 1.79% | 27,119 | 17.2% |
[ 2.0% - 2.5% ] 2.03% | 31,019 | 7.1% |
[ 2.0% - 2.5% ] 2.24% | 18,561 | 14.5% |
[ 2.5% - 3.0% ] 2.59% | 11,777 | 13.0% |
[ 2.5% - 3.0% ] 2.91% | 3,569 | 15.6% |
[ 3.0% - 3.5% ] 3.04% | 526 | 1.8% |
[ 3.0% - 3.5% ] 3.37% | 3,615 | 10.6% |
[ 3.5% - 4.0% ] 3.69% | 1,682 | 40.0% |
[ 3.5% - 4.0% ] 3.84% | 25,869 | 5.3% |
[ 4.0% - 4.5% ] 4.25% | 871 | 55.3% |
[ 4.0% - 4.5% ] 4.46% | 3,541 | 9.3% |
[ 5.0% - 5.5% ] 5.12% | 683 | 20.0% |
[ 5.5% - 6.0% ] 5.72% | 367 | 53.7% |
[ 6.5% - 7.0% ] 6.53% | 3,908 | 19.8% |
[ 7.0% - 7.5% ] 7.32% | 5,122 | 11.2% |
[ 7.5% - 8.0% ] 7.74% | 969 | 14.3% |
[ 9.0% - 9.5% ] 9.01% | 744 | 3.9% |
[ 11.0% - 11.5% ] 11.26% | 435 | 6.7% |
[ 14.5% - 15.0% ] 14.52% | 496 | 27.3% |
[ 33.5% - 34.0% ] 33.53% | 173 | 60.5% |