Paiute Poverty
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Paiute
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Poverty
Paiute Poverty
16.7%
POVERTY
0.0/ 100
METRIC RATING
326th/ 347
METRIC RANK
Paiute Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 58,392,154 people shows a significant positive correlation between the proportion of Paiute and poverty level in the United States with a correlation coefficient (R) of 0.684 and weighted average of 16.7%. On average, for every 1% (one percent) increase in Paiute within a typical geography, there is an increase of 0.44% in poverty level.
It is essential to understand that the correlation between the percentage of Paiute and poverty level does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Paiute influences an upward or downward trend in the level of poverty level within an area, or if Paiute simply ended up residing in those areas with higher or lower levels of poverty level due to other factors.
Demographics Similar to Paiute by Poverty
In terms of poverty, the demographic groups most similar to Paiute are Central American Indian (16.7%, a difference of 0.29%), Yakama (16.7%, a difference of 0.52%), Kiowa (16.8%, a difference of 0.53%), Ute (16.9%, a difference of 0.96%), and Colville (16.6%, a difference of 1.1%).
Demographics | Rating | Rank | Poverty |
Immigrants from Congo | 0.0 /100 | #319 | Tragic 16.1% |
Immigrants from Honduras | 0.0 /100 | #320 | Tragic 16.2% |
Arapaho | 0.0 /100 | #321 | Tragic 16.3% |
Menominee | 0.0 /100 | #322 | Tragic 16.4% |
Colville | 0.0 /100 | #323 | Tragic 16.6% |
Yakama | 0.0 /100 | #324 | Tragic 16.7% |
Central American Indians | 0.0 /100 | #325 | Tragic 16.7% |
Paiute | 0.0 /100 | #326 | Tragic 16.7% |
Kiowa | 0.0 /100 | #327 | Tragic 16.8% |
Ute | 0.0 /100 | #328 | Tragic 16.9% |
Blacks/African Americans | 0.0 /100 | #329 | Tragic 17.3% |
Dominicans | 0.0 /100 | #330 | Tragic 17.6% |
Immigrants from Dominican Republic | 0.0 /100 | #331 | Tragic 17.8% |
Natives/Alaskans | 0.0 /100 | #332 | Tragic 18.1% |
Houma | 0.0 /100 | #333 | Tragic 18.4% |
Paiute Poverty Correlation Summary
Measurement | Paiute Data | Poverty Data |
Minimum | 0.030% | 7.5% |
Maximum | 100.0% | 100.0% |
Range | 100.0% | 92.5% |
Mean | 24.6% | 24.5% |
Median | 11.7% | 19.8% |
Interquartile 25% (IQ1) | 4.6% | 11.9% |
Interquartile 75% (IQ3) | 45.2% | 34.1% |
Interquartile Range (IQR) | 40.6% | 22.1% |
Standard Deviation (Sample) | 28.2% | 18.1% |
Standard Deviation (Population) | 27.8% | 17.9% |
Correlation Details
Paiute Percentile | Sample Size | Poverty |
[ 0.0% - 0.5% ] 0.030% | 57,646,625 | 14.3% |
[ 0.5% - 1.0% ] 0.68% | 496,781 | 14.9% |
[ 1.0% - 1.5% ] 1.21% | 144,146 | 12.8% |
[ 1.5% - 2.0% ] 1.75% | 29,125 | 16.3% |
[ 2.0% - 2.5% ] 2.12% | 8,780 | 20.8% |
[ 2.5% - 3.0% ] 2.74% | 9,328 | 12.7% |
[ 3.0% - 3.5% ] 3.28% | 579 | 11.6% |
[ 3.5% - 4.0% ] 3.76% | 1,916 | 46.3% |
[ 4.0% - 4.5% ] 4.04% | 15,901 | 12.2% |
[ 5.0% - 5.5% ] 5.12% | 6,295 | 10.5% |
[ 5.5% - 6.0% ] 5.74% | 1,133 | 37.6% |
[ 6.0% - 6.5% ] 6.02% | 3,108 | 19.8% |
[ 6.5% - 7.0% ] 6.80% | 8,472 | 21.0% |
[ 7.0% - 7.5% ] 7.39% | 1,705 | 8.0% |
[ 8.0% - 8.5% ] 8.24% | 728 | 8.9% |
[ 8.5% - 9.0% ] 8.52% | 775 | 10.5% |
[ 9.0% - 9.5% ] 9.38% | 1,886 | 21.7% |
[ 10.0% - 10.5% ] 10.35% | 3,034 | 13.0% |
[ 11.5% - 12.0% ] 11.70% | 778 | 7.5% |
[ 12.0% - 12.5% ] 12.31% | 1,649 | 9.6% |
[ 12.5% - 13.0% ] 12.99% | 1,563 | 8.7% |
[ 13.5% - 14.0% ] 13.90% | 374 | 32.6% |
[ 14.5% - 15.0% ] 14.63% | 1,032 | 12.7% |
[ 15.0% - 15.5% ] 15.43% | 363 | 41.6% |
[ 22.0% - 22.5% ] 22.05% | 254 | 49.6% |
[ 22.5% - 23.0% ] 22.68% | 313 | 9.9% |
[ 34.5% - 35.0% ] 34.61% | 393 | 24.2% |
[ 44.5% - 45.0% ] 44.98% | 887 | 18.8% |
[ 45.0% - 45.5% ] 45.35% | 172 | 29.1% |
[ 46.0% - 46.5% ] 46.15% | 169 | 29.6% |
[ 48.5% - 49.0% ] 48.76% | 1,007 | 24.0% |
[ 71.5% - 72.0% ] 71.85% | 135 | 30.4% |
[ 73.5% - 74.0% ] 74.00% | 896 | 38.3% |
[ 75.0% - 75.5% ] 75.46% | 1,084 | 35.5% |
[ 76.5% - 77.0% ] 76.59% | 393 | 46.8% |
[ 78.5% - 79.0% ] 78.74% | 348 | 46.3% |
[ 99.5% - 100.0% ] 100.00% | 27 | 100.0% |