French Canadian Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
French Canadian Child Poverty Among Boys Under 16
15.9%
POVERTY | BOYS < 16
76.6/ 100
METRIC RATING
155th/ 347
METRIC RANK
French Canadian Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 488,484,984 people shows a substantial positive correlation between the proportion of French Canadians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.599 and weighted average of 15.9%. On average, for every 1% (one percent) increase in French Canadians within a typical geography, there is an increase of 0.68% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of French Canadians and poverty level among boys under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of French Canadians influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if French Canadians simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.
Demographics Similar to French Canadians by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to French Canadians are Israeli (15.9%, a difference of 0.010%), Immigrants from Nepal (15.9%, a difference of 0.10%), Yugoslavian (15.9%, a difference of 0.11%), Syrian (15.9%, a difference of 0.15%), and Immigrants from Chile (15.9%, a difference of 0.28%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Brazilians | 81.0 /100 | #148 | Excellent 15.8% |
| Slovaks | 80.3 /100 | #149 | Excellent 15.8% |
| Immigrants from Jordan | 80.2 /100 | #150 | Excellent 15.8% |
| Puget Sound Salish | 79.8 /100 | #151 | Good 15.8% |
| Immigrants from Venezuela | 79.5 /100 | #152 | Good 15.8% |
| French | 78.7 /100 | #153 | Good 15.8% |
| Syrians | 77.5 /100 | #154 | Good 15.9% |
| French Canadians | 76.6 /100 | #155 | Good 15.9% |
| Israelis | 76.5 /100 | #156 | Good 15.9% |
| Immigrants from Nepal | 76.0 /100 | #157 | Good 15.9% |
| Yugoslavians | 75.9 /100 | #158 | Good 15.9% |
| Immigrants from Chile | 74.8 /100 | #159 | Good 15.9% |
| Immigrants from Northern Africa | 71.3 /100 | #160 | Good 16.0% |
| Immigrants from Oceania | 71.3 /100 | #161 | Good 16.0% |
| Guamanians/Chamorros | 69.6 /100 | #162 | Good 16.1% |
French Canadian Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | French Canadian Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.21% | 7.1% |
| Maximum | 58.1% | 94.2% |
| Range | 57.9% | 87.1% |
| Mean | 18.5% | 24.1% |
| Median | 15.8% | 18.5% |
| Interquartile 25% (IQ1) | 7.7% | 14.7% |
| Interquartile 75% (IQ3) | 25.3% | 25.4% |
| Interquartile Range (IQR) | 17.6% | 10.6% |
| Standard Deviation (Sample) | 14.1% | 16.0% |
| Standard Deviation (Population) | 14.0% | 15.9% |
Correlation Details
| French Canadian Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.21% | 357,363,003 | 17.6% |
[ 0.5% - 1.0% ] 0.68% | 78,628,531 | 14.1% |
[ 1.0% - 1.5% ] 1.21% | 20,994,207 | 15.4% |
[ 1.5% - 2.0% ] 1.73% | 9,054,620 | 14.9% |
[ 2.0% - 2.5% ] 2.24% | 5,338,294 | 14.3% |
[ 2.5% - 3.0% ] 2.71% | 3,205,176 | 16.0% |
[ 3.0% - 3.5% ] 3.26% | 2,547,863 | 15.8% |
[ 3.5% - 4.0% ] 3.75% | 1,832,667 | 12.7% |
[ 4.0% - 4.5% ] 4.22% | 1,330,960 | 15.4% |
[ 4.5% - 5.0% ] 4.76% | 1,083,369 | 14.3% |
[ 5.0% - 5.5% ] 5.27% | 882,913 | 15.5% |
[ 5.5% - 6.0% ] 5.71% | 672,074 | 14.7% |
[ 6.0% - 6.5% ] 6.23% | 788,439 | 14.8% |
[ 6.5% - 7.0% ] 6.72% | 600,031 | 10.5% |
[ 7.0% - 7.5% ] 7.21% | 634,848 | 14.5% |
[ 7.5% - 8.0% ] 7.73% | 458,101 | 12.8% |
[ 8.0% - 8.5% ] 8.24% | 700,217 | 16.7% |
[ 8.5% - 9.0% ] 8.76% | 196,525 | 16.2% |
[ 9.0% - 9.5% ] 9.26% | 297,107 | 20.0% |
[ 9.5% - 10.0% ] 9.66% | 200,055 | 12.6% |
[ 10.0% - 10.5% ] 10.29% | 324,221 | 14.2% |
[ 10.5% - 11.0% ] 10.77% | 265,244 | 19.2% |
[ 11.0% - 11.5% ] 11.27% | 95,222 | 15.3% |
[ 11.5% - 12.0% ] 11.77% | 56,009 | 13.0% |
[ 12.0% - 12.5% ] 12.27% | 117,782 | 16.2% |
[ 12.5% - 13.0% ] 12.73% | 235,436 | 21.7% |
[ 13.0% - 13.5% ] 13.17% | 37,165 | 14.2% |
[ 13.5% - 14.0% ] 13.75% | 28,114 | 18.5% |
[ 14.0% - 14.5% ] 14.24% | 91,372 | 22.9% |
[ 14.5% - 15.0% ] 14.72% | 65,981 | 23.1% |
[ 15.0% - 15.5% ] 15.12% | 19,677 | 12.9% |
[ 15.5% - 16.0% ] 15.79% | 50,592 | 23.7% |
[ 16.0% - 16.5% ] 16.33% | 22,242 | 25.4% |
[ 16.5% - 17.0% ] 16.63% | 26,826 | 14.8% |
[ 17.0% - 17.5% ] 17.11% | 49,899 | 17.3% |
[ 17.5% - 18.0% ] 17.71% | 8,379 | 21.3% |
[ 18.0% - 18.5% ] 18.26% | 18,600 | 18.3% |
[ 18.5% - 19.0% ] 18.93% | 94,416 | 28.1% |
[ 19.0% - 19.5% ] 19.29% | 23,500 | 21.2% |
[ 19.5% - 20.0% ] 19.64% | 392 | 44.4% |
[ 20.0% - 20.5% ] 20.33% | 12,006 | 22.9% |
[ 20.5% - 21.0% ] 20.83% | 4,797 | 13.1% |
[ 21.0% - 21.5% ] 21.41% | 3,988 | 29.9% |
[ 21.5% - 22.0% ] 21.87% | 2,154 | 19.7% |
[ 22.5% - 23.0% ] 22.81% | 1,201 | 24.7% |
[ 23.0% - 23.5% ] 23.34% | 1,474 | 25.6% |
[ 24.0% - 24.5% ] 24.03% | 1,490 | 28.6% |
[ 25.0% - 25.5% ] 25.32% | 3,140 | 44.5% |
[ 25.5% - 26.0% ] 25.73% | 241 | 45.6% |
[ 27.5% - 28.0% ] 27.82% | 1,668 | 39.1% |
[ 32.0% - 32.5% ] 32.43% | 74 | 71.4% |
[ 32.5% - 33.0% ] 32.77% | 946 | 24.0% |
[ 33.0% - 33.5% ] 33.13% | 483 | 35.2% |
[ 34.5% - 35.0% ] 34.98% | 3,190 | 7.1% |
[ 35.0% - 35.5% ] 35.11% | 131 | 25.0% |
[ 35.5% - 36.0% ] 35.66% | 2,883 | 11.3% |
[ 36.5% - 37.0% ] 36.52% | 597 | 50.0% |
[ 37.5% - 38.0% ] 37.63% | 1,116 | 94.2% |
[ 38.5% - 39.0% ] 38.61% | 101 | 44.4% |
[ 46.5% - 47.0% ] 46.70% | 576 | 19.0% |
[ 55.0% - 55.5% ] 55.41% | 915 | 65.9% |
[ 57.0% - 57.5% ] 57.15% | 1,398 | 54.4% |
[ 58.0% - 58.5% ] 58.09% | 346 | 19.5% |