Peruvian Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Peruvian Female Poverty Among 25-34 Year Olds
12.7%
POVERTY | FEMALES 25-34
95.6/ 100
METRIC RATING
102nd/ 347
METRIC RANK
Peruvian Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 358,420,954 people shows a poor positive correlation between the proportion of Peruvians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.144 and weighted average of 12.7%. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.28% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Peruvians and poverty level among females between the ages 25 and 34 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Peruvians influences an upward or downward trend in the level of poverty level among females between the ages 25 and 34 within an area, or if Peruvians simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.
Demographics Similar to Peruvians by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Peruvians are Immigrants from Switzerland (12.7%, a difference of 0.060%), Immigrants from Spain (12.7%, a difference of 0.060%), Immigrants from Denmark (12.7%, a difference of 0.080%), Swedish (12.7%, a difference of 0.11%), and Immigrants from South Africa (12.7%, a difference of 0.16%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Ukrainians | 96.7 /100 | #95 | Exceptional 12.6% |
| Immigrants from Zimbabwe | 96.7 /100 | #96 | Exceptional 12.6% |
| Immigrants from Northern Africa | 96.6 /100 | #97 | Exceptional 12.6% |
| Immigrants from Ethiopia | 96.5 /100 | #98 | Exceptional 12.6% |
| Immigrants from Argentina | 96.4 /100 | #99 | Exceptional 12.6% |
| Immigrants from Denmark | 95.7 /100 | #100 | Exceptional 12.7% |
| Immigrants from Switzerland | 95.7 /100 | #101 | Exceptional 12.7% |
| Peruvians | 95.6 /100 | #102 | Exceptional 12.7% |
| Immigrants from Spain | 95.5 /100 | #103 | Exceptional 12.7% |
| Swedes | 95.4 /100 | #104 | Exceptional 12.7% |
| Immigrants from South Africa | 95.3 /100 | #105 | Exceptional 12.7% |
| Tsimshian | 95.1 /100 | #106 | Exceptional 12.7% |
| Poles | 94.9 /100 | #107 | Exceptional 12.7% |
| Immigrants from Norway | 94.4 /100 | #108 | Exceptional 12.7% |
| Immigrants from Peru | 94.3 /100 | #109 | Exceptional 12.7% |
Peruvian Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Peruvian Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.070% | 2.0% |
| Maximum | 16.8% | 47.4% |
| Range | 16.8% | 45.3% |
| Mean | 5.3% | 14.1% |
| Median | 4.7% | 11.9% |
| Interquartile 25% (IQ1) | 2.3% | 10.7% |
| Interquartile 75% (IQ3) | 7.4% | 15.3% |
| Interquartile Range (IQR) | 5.1% | 4.6% |
| Standard Deviation (Sample) | 3.8% | 7.4% |
| Standard Deviation (Population) | 3.8% | 7.4% |
Correlation Details
| Peruvian Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.070% | 148,346,825 | 15.2% |
[ 0.0% - 0.5% ] 0.20% | 84,580,918 | 13.2% |
[ 0.0% - 0.5% ] 0.35% | 40,496,311 | 12.4% |
[ 0.0% - 0.5% ] 0.49% | 31,521,418 | 12.3% |
[ 0.5% - 1.0% ] 0.63% | 13,646,966 | 11.4% |
[ 0.5% - 1.0% ] 0.77% | 7,923,026 | 11.3% |
[ 0.5% - 1.0% ] 0.93% | 5,611,136 | 12.1% |
[ 1.0% - 1.5% ] 1.06% | 4,556,108 | 11.5% |
[ 1.0% - 1.5% ] 1.20% | 3,455,588 | 12.4% |
[ 1.0% - 1.5% ] 1.35% | 2,737,567 | 9.8% |
[ 1.0% - 1.5% ] 1.49% | 1,868,770 | 12.1% |
[ 1.5% - 2.0% ] 1.63% | 1,586,582 | 11.7% |
[ 1.5% - 2.0% ] 1.77% | 1,813,579 | 11.6% |
[ 1.5% - 2.0% ] 1.92% | 1,741,635 | 13.1% |
[ 2.0% - 2.5% ] 2.06% | 951,187 | 13.3% |
[ 2.0% - 2.5% ] 2.18% | 770,194 | 11.6% |
[ 2.0% - 2.5% ] 2.33% | 831,020 | 9.8% |
[ 2.0% - 2.5% ] 2.47% | 793,033 | 11.4% |
[ 2.5% - 3.0% ] 2.61% | 675,295 | 14.1% |
[ 2.5% - 3.0% ] 2.77% | 552,716 | 11.4% |
[ 2.5% - 3.0% ] 2.89% | 306,618 | 10.3% |
[ 3.0% - 3.5% ] 3.05% | 601,867 | 13.0% |
[ 3.0% - 3.5% ] 3.20% | 210,000 | 11.8% |
[ 3.0% - 3.5% ] 3.33% | 417,817 | 13.0% |
[ 3.0% - 3.5% ] 3.49% | 198,331 | 19.6% |
[ 3.5% - 4.0% ] 3.64% | 259,302 | 14.4% |
[ 3.5% - 4.0% ] 3.74% | 246,014 | 10.9% |
[ 3.5% - 4.0% ] 3.92% | 18,027 | 7.6% |
[ 4.0% - 4.5% ] 4.04% | 224,117 | 20.3% |
[ 4.0% - 4.5% ] 4.19% | 81,681 | 10.7% |
[ 4.0% - 4.5% ] 4.32% | 22,403 | 15.3% |
[ 4.0% - 4.5% ] 4.48% | 181,752 | 8.9% |
[ 4.5% - 5.0% ] 4.62% | 217,493 | 16.1% |
[ 4.5% - 5.0% ] 4.76% | 73,785 | 16.1% |
[ 4.5% - 5.0% ] 4.84% | 53,467 | 11.1% |
[ 5.0% - 5.5% ] 5.04% | 92,872 | 12.1% |
[ 5.0% - 5.5% ] 5.22% | 71,584 | 16.5% |
[ 5.0% - 5.5% ] 5.43% | 65,936 | 11.7% |
[ 5.5% - 6.0% ] 5.60% | 6,929 | 8.9% |
[ 5.5% - 6.0% ] 5.85% | 27,966 | 7.2% |
[ 5.5% - 6.0% ] 5.99% | 8,083 | 47.4% |
[ 6.0% - 6.5% ] 6.19% | 181,126 | 24.9% |
[ 6.0% - 6.5% ] 6.29% | 47,129 | 15.2% |
[ 6.0% - 6.5% ] 6.46% | 12,421 | 30.4% |
[ 6.5% - 7.0% ] 6.61% | 2,815 | 2.0% |
[ 6.5% - 7.0% ] 6.76% | 47,290 | 10.7% |
[ 6.5% - 7.0% ] 6.93% | 9,124 | 11.1% |
[ 6.5% - 7.0% ] 6.98% | 3,781 | 10.7% |
[ 7.0% - 7.5% ] 7.11% | 17,048 | 10.7% |
[ 7.0% - 7.5% ] 7.40% | 8,945 | 19.4% |
[ 7.5% - 8.0% ] 7.70% | 40,042 | 8.9% |
[ 7.5% - 8.0% ] 7.89% | 38,572 | 19.8% |
[ 8.0% - 8.5% ] 8.07% | 21,935 | 12.5% |
[ 8.0% - 8.5% ] 8.14% | 467 | 6.1% |
[ 8.5% - 9.0% ] 8.89% | 2,463 | 3.9% |
[ 9.0% - 9.5% ] 9.16% | 2,718 | 28.8% |
[ 9.0% - 9.5% ] 9.34% | 22,377 | 26.9% |
[ 9.5% - 10.0% ] 9.62% | 82,314 | 5.7% |
[ 9.5% - 10.0% ] 9.71% | 6,166 | 37.9% |
[ 10.0% - 10.5% ] 10.26% | 1,277 | 17.3% |
[ 11.5% - 12.0% ] 11.77% | 11,069 | 20.0% |
[ 11.5% - 12.0% ] 11.91% | 2,334 | 11.2% |
[ 12.0% - 12.5% ] 12.13% | 4,947 | 11.0% |
[ 14.0% - 14.5% ] 14.08% | 6,299 | 8.4% |
[ 14.5% - 15.0% ] 14.60% | 815 | 23.5% |
[ 16.5% - 17.0% ] 16.84% | 1,562 | 5.9% |