French vs Soviet Union Poverty
COMPARE
French
Soviet Union
Poverty
Poverty Comparison
French
Soviet Union
11.8%
POVERTY
86.1/ 100
METRIC RATING
131st/ 347
METRIC RANK
11.7%
POVERTY
88.4/ 100
METRIC RATING
124th/ 347
METRIC RANK
French vs Soviet Union Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 571,552,605 people shows a poor positive correlation between the proportion of French and poverty level in the United States with a correlation coefficient (R) of 0.192 and weighted average of 11.8%. Similarly, the statistical analysis conducted on geographies consisting of 43,449,399 people shows a slight positive correlation between the proportion of Soviet Union and poverty level in the United States with a correlation coefficient (R) of 0.066 and weighted average of 11.7%, a difference of 0.51%.
Poverty Correlation Summary
| Measurement | French | Soviet Union |
| Minimum | 1.4% | 0.29% |
| Maximum | 55.2% | 22.6% |
| Range | 53.8% | 22.3% |
| Mean | 14.3% | 9.1% |
| Median | 12.6% | 8.3% |
| Interquartile 25% (IQ1) | 10.7% | 5.3% |
| Interquartile 75% (IQ3) | 15.0% | 12.3% |
| Interquartile Range (IQR) | 4.3% | 6.9% |
| Standard Deviation (Sample) | 8.6% | 5.0% |
| Standard Deviation (Population) | 8.5% | 5.0% |
Demographics Similar to French and Soviet Union by Poverty
In terms of poverty, the demographic groups most similar to French are Immigrants from Ukraine (11.8%, a difference of 0.10%), Peruvian (11.8%, a difference of 0.11%), South African (11.7%, a difference of 0.19%), Immigrants from Western Europe (11.8%, a difference of 0.19%), and Yugoslavian (11.8%, a difference of 0.19%). Similarly, the demographic groups most similar to Soviet Union are Immigrants from Brazil (11.7%, a difference of 0.040%), Immigrants from Hungary (11.7%, a difference of 0.070%), Immigrants from Norway (11.7%, a difference of 0.080%), New Zealander (11.7%, a difference of 0.090%), and Puget Sound Salish (11.7%, a difference of 0.090%).
| Demographics | Rating | Rank | Poverty |
| Sri Lankans | 89.4 /100 | #117 | Excellent 11.7% |
| Argentineans | 89.1 /100 | #118 | Excellent 11.7% |
| Tlingit-Haida | 89.0 /100 | #119 | Excellent 11.7% |
| Immigrants | South Eastern Asia | 88.9 /100 | #120 | Excellent 11.7% |
| New Zealanders | 88.7 /100 | #121 | Excellent 11.7% |
| Puget Sound Salish | 88.7 /100 | #122 | Excellent 11.7% |
| Immigrants | Hungary | 88.6 /100 | #123 | Excellent 11.7% |
| Soviet Union | 88.4 /100 | #124 | Excellent 11.7% |
| Immigrants | Brazil | 88.2 /100 | #125 | Excellent 11.7% |
| Immigrants | Norway | 88.0 /100 | #126 | Excellent 11.7% |
| Immigrants | Argentina | 88.0 /100 | #127 | Excellent 11.7% |
| Immigrants | Israel | 87.4 /100 | #128 | Excellent 11.7% |
| South Africans | 87.0 /100 | #129 | Excellent 11.7% |
| Immigrants | Ukraine | 86.6 /100 | #130 | Excellent 11.8% |
| French | 86.1 /100 | #131 | Excellent 11.8% |
| Peruvians | 85.6 /100 | #132 | Excellent 11.8% |
| Immigrants | Western Europe | 85.2 /100 | #133 | Excellent 11.8% |
| Yugoslavians | 85.2 /100 | #134 | Excellent 11.8% |
| Immigrants | Vietnam | 85.2 /100 | #135 | Excellent 11.8% |
| Chileans | 84.2 /100 | #136 | Excellent 11.8% |
| Immigrants | Switzerland | 83.0 /100 | #137 | Excellent 11.8% |