Pima Poverty
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Pima
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Poverty
Pima Poverty
23.2%
POVERTY
6.0/ 100
METRIC RATING
344th/ 347
METRIC RANK
Pima Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 52,131,630 people shows a significant positive correlation between the proportion of Pima and poverty level in the United States with a correlation coefficient (R) of 0.600 and weighted average of 23.2%. On average, for every 1% (one percent) increase in Pima within a typical geography, there is an increase of 0.31% in poverty level.
It is essential to understand that the correlation between the percentage of Pima and poverty level does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Pima influences an upward or downward trend in the level of poverty level within an area, or if Pima simply ended up residing in those areas with higher or lower levels of poverty level due to other factors.
Demographics Similar to Pima by Poverty
In terms of poverty, the demographic groups most similar to Pima are Yup'ik (22.9%, a difference of 1.5%), Navajo (23.6%, a difference of 1.8%), Puerto Rican (24.0%, a difference of 3.3%), Tohono O'odham (24.1%, a difference of 3.9%), and Immigrants from Yemen (22.2%, a difference of 4.5%).
| Demographics | Rating | Rank | Poverty |
| Apache | 34.8 /100 | #333 | Fair 18.9% |
| Houma | 34.3 /100 | #334 | Fair 19.0% |
| Cheyenne | 34.0 /100 | #335 | Fair 19.0% |
| Pueblo | 30.7 /100 | #336 | Fair 19.5% |
| Sioux | 27.3 /100 | #337 | Fair 20.0% |
| Hopi | 21.7 /100 | #338 | Fair 20.8% |
| Yuman | 19.5 /100 | #339 | Poor 21.2% |
| Crow | 16.6 /100 | #340 | Poor 21.6% |
| Lumbee | 14.1 /100 | #341 | Poor 22.0% |
| Immigrants from Yemen | 12.6 /100 | #342 | Poor 22.2% |
| Yup'ik | 8.3 /100 | #343 | Tragic 22.9% |
| Pima | 6.0 /100 | #344 | Tragic 23.2% |
| Navajo | 3.3 /100 | #345 | Tragic 23.6% |
| Puerto Ricans | 1.0 /100 | #346 | Tragic 24.0% |
| Tohono O'odham | 0.0 /100 | #347 | Tragic 24.1% |
Pima Poverty Correlation Summary
| Measurement | Pima Data | Poverty Data |
| Minimum | 0.042% | 1.3% |
| Maximum | 100.0% | 93.3% |
| Range | 100.0% | 91.9% |
| Mean | 37.8% | 32.3% |
| Median | 13.5% | 30.1% |
| Interquartile 25% (IQ1) | 4.3% | 17.6% |
| Interquartile 75% (IQ3) | 81.8% | 45.1% |
| Interquartile Range (IQR) | 77.5% | 27.5% |
| Standard Deviation (Sample) | 38.1% | 19.7% |
| Standard Deviation (Population) | 37.4% | 19.4% |
Correlation Details
| Pima Percentile | Sample Size | Poverty |
[ 0.0% - 0.5% ] 0.042% | 51,172,694 | 14.6% |
[ 0.5% - 1.0% ] 0.67% | 530,301 | 17.6% |
[ 1.0% - 1.5% ] 1.21% | 244,358 | 15.6% |
[ 1.5% - 2.0% ] 1.63% | 19,880 | 20.7% |
[ 2.0% - 2.5% ] 2.08% | 55,416 | 13.1% |
[ 2.5% - 3.0% ] 2.84% | 7,069 | 24.4% |
[ 3.0% - 3.5% ] 3.14% | 5,824 | 27.1% |
[ 4.0% - 4.5% ] 4.32% | 579 | 55.4% |
[ 4.5% - 5.0% ] 4.69% | 1,514 | 34.3% |
[ 5.0% - 5.5% ] 5.01% | 50,260 | 12.5% |
[ 6.5% - 7.0% ] 6.77% | 1,374 | 17.2% |
[ 7.5% - 8.0% ] 7.58% | 1,214 | 1.3% |
[ 8.0% - 8.5% ] 8.44% | 1,043 | 32.3% |
[ 8.5% - 9.0% ] 8.85% | 113 | 29.2% |
[ 11.5% - 12.0% ] 11.51% | 17,032 | 22.0% |
[ 15.5% - 16.0% ] 15.56% | 347 | 23.9% |
[ 17.0% - 17.5% ] 17.19% | 675 | 2.8% |
[ 50.5% - 51.0% ] 50.80% | 311 | 50.8% |
[ 66.5% - 67.0% ] 66.67% | 882 | 34.6% |
[ 67.0% - 67.5% ] 67.23% | 119 | 93.3% |
[ 69.5% - 70.0% ] 69.61% | 905 | 38.8% |
[ 79.0% - 79.5% ] 79.33% | 5,497 | 35.0% |
[ 81.5% - 82.0% ] 81.79% | 3,920 | 45.1% |
[ 82.0% - 82.5% ] 82.44% | 2,506 | 28.8% |
[ 82.5% - 83.0% ] 82.90% | 4,221 | 31.3% |
[ 83.5% - 84.0% ] 83.84% | 656 | 30.9% |
[ 86.0% - 86.5% ] 86.25% | 618 | 72.8% |
[ 89.0% - 89.5% ] 89.05% | 630 | 45.8% |
[ 91.0% - 91.5% ] 91.28% | 1,273 | 48.5% |
[ 99.5% - 100.0% ] 100.00% | 399 | 49.1% |