Chippewa Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Chippewa Child Poverty Among Boys Under 16
21.0%
POVERTY | BOYS < 16
0.0/ 100
METRIC RATING
298th/ 347
METRIC RANK
Chippewa Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 213,098,717 people shows a moderate positive correlation between the proportion of Chippewa and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.428 and weighted average of 21.0%. On average, for every 1% (one percent) increase in Chippewa within a typical geography, there is an increase of 0.30% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Chippewa 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 Chippewa influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Chippewa 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 Chippewa by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Chippewa are Hispanic or Latino (20.9%, a difference of 0.26%), Immigrants from Caribbean (21.0%, a difference of 0.27%), Haitian (21.0%, a difference of 0.32%), Indonesian (20.8%, a difference of 0.86%), and Guatemalan (21.1%, a difference of 0.86%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Immigrants from Latin America | 0.0 /100 | #291 | Tragic 20.6% |
| Yaqui | 0.0 /100 | #292 | Tragic 20.7% |
| Immigrants from Senegal | 0.0 /100 | #293 | Tragic 20.7% |
| Immigrants from Bahamas | 0.0 /100 | #294 | Tragic 20.7% |
| Mexicans | 0.0 /100 | #295 | Tragic 20.7% |
| Indonesians | 0.0 /100 | #296 | Tragic 20.8% |
| Hispanics or Latinos | 0.0 /100 | #297 | Tragic 20.9% |
| Chippewa | 0.0 /100 | #298 | Tragic 21.0% |
| Immigrants from Caribbean | 0.0 /100 | #299 | Tragic 21.0% |
| Haitians | 0.0 /100 | #300 | Tragic 21.0% |
| Guatemalans | 0.0 /100 | #301 | Tragic 21.1% |
| Somalis | 0.0 /100 | #302 | Tragic 21.1% |
| Immigrants from Haiti | 0.0 /100 | #303 | Tragic 21.3% |
| Immigrants from Central America | 0.0 /100 | #304 | Tragic 21.3% |
| Kiowa | 0.0 /100 | #305 | Tragic 21.3% |
Chippewa Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Chippewa Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.066% | 6.7% |
| Maximum | 100.0% | 100.0% |
| Range | 99.9% | 93.3% |
| Mean | 41.0% | 36.2% |
| Median | 33.1% | 29.7% |
| Interquartile 25% (IQ1) | 12.2% | 20.1% |
| Interquartile 75% (IQ3) | 68.9% | 49.6% |
| Interquartile Range (IQR) | 56.7% | 29.5% |
| Standard Deviation (Sample) | 31.8% | 22.2% |
| Standard Deviation (Population) | 31.6% | 22.1% |
Correlation Details
| Chippewa Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.066% | 203,427,643 | 17.5% |
[ 0.5% - 1.0% ] 0.70% | 5,986,178 | 15.3% |
[ 1.0% - 1.5% ] 1.16% | 1,788,990 | 16.8% |
[ 1.5% - 2.0% ] 1.73% | 463,084 | 20.2% |
[ 2.0% - 2.5% ] 2.21% | 405,486 | 18.1% |
[ 2.5% - 3.0% ] 2.63% | 320,151 | 15.8% |
[ 3.0% - 3.5% ] 3.25% | 117,770 | 21.3% |
[ 3.5% - 4.0% ] 3.72% | 84,141 | 17.5% |
[ 4.0% - 4.5% ] 4.35% | 81,442 | 22.6% |
[ 4.5% - 5.0% ] 4.66% | 44,416 | 16.4% |
[ 5.0% - 5.5% ] 5.21% | 21,490 | 22.7% |
[ 5.5% - 6.0% ] 5.73% | 14,701 | 26.9% |
[ 6.0% - 6.5% ] 6.28% | 3,169 | 24.2% |
[ 6.5% - 7.0% ] 6.79% | 8,676 | 18.1% |
[ 7.0% - 7.5% ] 7.32% | 15,604 | 22.4% |
[ 7.5% - 8.0% ] 7.85% | 21,213 | 24.8% |
[ 8.0% - 8.5% ] 8.39% | 5,790 | 14.3% |
[ 8.5% - 9.0% ] 8.69% | 3,888 | 23.0% |
[ 9.0% - 9.5% ] 9.36% | 41,186 | 16.7% |
[ 9.5% - 10.0% ] 9.93% | 554 | 32.8% |
[ 10.0% - 10.5% ] 10.27% | 14,743 | 29.7% |
[ 10.5% - 11.0% ] 10.65% | 37,533 | 21.6% |
[ 11.0% - 11.5% ] 11.45% | 17,994 | 28.6% |
[ 11.5% - 12.0% ] 11.76% | 2,143 | 36.4% |
[ 12.5% - 13.0% ] 12.70% | 7,702 | 18.8% |
[ 13.0% - 13.5% ] 13.20% | 7,543 | 25.8% |
[ 13.5% - 14.0% ] 13.68% | 2,448 | 21.6% |
[ 14.0% - 14.5% ] 14.35% | 1,115 | 34.7% |
[ 14.5% - 15.0% ] 14.65% | 16,808 | 25.5% |
[ 15.0% - 15.5% ] 15.20% | 2,480 | 36.5% |
[ 15.5% - 16.0% ] 15.64% | 21,121 | 25.4% |
[ 16.5% - 17.0% ] 16.76% | 16,587 | 31.9% |
[ 17.0% - 17.5% ] 17.11% | 2,390 | 12.2% |
[ 18.0% - 18.5% ] 18.09% | 4,482 | 66.3% |
[ 18.5% - 19.0% ] 18.73% | 3,358 | 16.6% |
[ 19.5% - 20.0% ] 19.72% | 3,798 | 22.0% |
[ 20.0% - 20.5% ] 20.20% | 99 | 12.5% |
[ 22.0% - 22.5% ] 22.48% | 258 | 58.8% |
[ 22.5% - 23.0% ] 22.69% | 908 | 29.7% |
[ 23.0% - 23.5% ] 23.48% | 132 | 100.0% |
[ 23.5% - 24.0% ] 23.56% | 3,290 | 65.8% |
[ 24.0% - 24.5% ] 24.03% | 795 | 7.5% |
[ 25.5% - 26.0% ] 25.81% | 31 | 100.0% |
[ 26.5% - 27.0% ] 26.93% | 3,628 | 33.8% |
[ 27.5% - 28.0% ] 27.92% | 4,499 | 35.5% |
[ 28.0% - 28.5% ] 28.12% | 2,233 | 33.7% |
[ 31.5% - 32.0% ] 31.50% | 873 | 20.5% |
[ 32.0% - 32.5% ] 32.26% | 248 | 31.0% |
[ 33.0% - 33.5% ] 33.10% | 1,139 | 50.9% |
[ 34.0% - 34.5% ] 34.48% | 406 | 21.3% |
[ 36.0% - 36.5% ] 36.21% | 116 | 63.6% |
[ 37.0% - 37.5% ] 37.44% | 6,234 | 25.3% |
[ 39.0% - 39.5% ] 39.29% | 28 | 20.0% |
[ 41.5% - 42.0% ] 41.67% | 96 | 71.4% |
[ 42.5% - 43.0% ] 42.81% | 1,731 | 27.9% |
[ 44.5% - 45.0% ] 44.98% | 3,079 | 25.7% |
[ 45.5% - 46.0% ] 45.68% | 1,819 | 12.3% |
[ 46.0% - 46.5% ] 46.27% | 858 | 12.1% |
[ 47.5% - 48.0% ] 47.82% | 1,838 | 30.6% |
[ 48.5% - 49.0% ] 48.84% | 6,540 | 33.6% |
[ 49.5% - 50.0% ] 49.83% | 299 | 50.0% |
[ 51.5% - 52.0% ] 51.53% | 1,011 | 28.3% |
[ 52.5% - 53.0% ] 52.88% | 2,969 | 63.4% |
[ 53.0% - 53.5% ] 53.12% | 32 | 18.2% |
[ 54.0% - 54.5% ] 54.37% | 607 | 28.9% |
[ 55.5% - 56.0% ] 55.80% | 776 | 16.7% |
[ 57.5% - 58.0% ] 57.97% | 395 | 6.7% |
[ 59.0% - 59.5% ] 59.07% | 237 | 34.8% |
[ 62.5% - 63.0% ] 62.67% | 1,733 | 49.2% |
[ 63.5% - 64.0% ] 63.75% | 1,854 | 44.2% |
[ 65.5% - 66.0% ] 65.79% | 839 | 65.2% |
[ 66.0% - 66.5% ] 66.47% | 683 | 51.8% |
[ 66.5% - 67.0% ] 66.98% | 733 | 51.4% |
[ 70.5% - 71.0% ] 70.82% | 2,940 | 52.5% |
[ 71.0% - 71.5% ] 71.23% | 146 | 71.4% |
[ 73.5% - 74.0% ] 73.74% | 613 | 53.8% |
[ 74.0% - 74.5% ] 74.43% | 219 | 58.3% |
[ 77.0% - 77.5% ] 77.29% | 1,026 | 30.2% |
[ 77.5% - 78.0% ] 77.56% | 2,117 | 64.6% |
[ 79.5% - 80.0% ] 79.88% | 323 | 43.5% |
[ 80.0% - 80.5% ] 80.36% | 550 | 56.7% |
[ 81.5% - 82.0% ] 81.78% | 472 | 45.3% |
[ 83.5% - 84.0% ] 83.68% | 190 | 80.0% |
[ 84.0% - 84.5% ] 84.28% | 318 | 100.0% |
[ 86.5% - 87.0% ] 86.67% | 285 | 45.7% |
[ 87.0% - 87.5% ] 87.40% | 2,071 | 38.8% |
[ 90.0% - 90.5% ] 90.28% | 895 | 51.2% |
[ 91.0% - 91.5% ] 91.13% | 203 | 19.0% |
[ 92.0% - 92.5% ] 92.31% | 39 | 100.0% |
[ 92.5% - 93.0% ] 92.90% | 7,355 | 28.6% |
[ 94.0% - 94.5% ] 94.16% | 2,960 | 18.4% |
[ 95.5% - 96.0% ] 95.75% | 1,011 | 31.5% |
[ 96.5% - 97.0% ] 96.58% | 789 | 19.0% |
[ 97.0% - 97.5% ] 97.42% | 852 | 37.1% |
[ 98.0% - 98.5% ] 98.17% | 1,202 | 43.3% |
[ 98.5% - 99.0% ] 98.73% | 1,183 | 32.7% |
[ 99.5% - 100.0% ] 100.00% | 95 | 100.0% |