Russian Receiving Food Stamps
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Receiving Food Stamps
Russian Receiving Food Stamps
9.6%
PUBLIC INCOME | FOOD STAMPS
99.4/ 100
METRIC RATING
48th/ 347
METRIC RANK
Russian Receiving Food Stamps Correlation Chart
The statistical analysis conducted on geographies consisting of 509,493,528 people shows a moderate positive correlation between the proportion of Russians and percentage of population receiving government assistance and/or food stamps in the United States with a correlation coefficient (R) of 0.497 and weighted average of 9.6%. On average, for every 1% (one percent) increase in Russians within a typical geography, there is an increase of 0.44% in percentage of population receiving government assistance and/or food stamps.
It is essential to understand that the correlation between the percentage of Russians and percentage of population receiving government assistance and/or food stamps does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Russians influences an upward or downward trend in the level of percentage of population receiving government assistance and/or food stamps within an area, or if Russians simply ended up residing in those areas with higher or lower levels of percentage of population receiving government assistance and/or food stamps due to other factors.
Demographics Similar to Russians by Receiving Food Stamps
In terms of receiving food stamps, the demographic groups most similar to Russians are Immigrants from Czechoslovakia (9.6%, a difference of 0.020%), Indian (Asian) (9.6%, a difference of 0.11%), Australian (9.6%, a difference of 0.17%), Immigrants from Belgium (9.6%, a difference of 0.25%), and Lithuanian (9.7%, a difference of 0.27%).
| Demographics | Rating | Rank | Receiving Food Stamps |
| Cambodians | 99.5 /100 | #41 | Exceptional 9.5% |
| Immigrants from China | 99.5 /100 | #42 | Exceptional 9.6% |
| Croatians | 99.5 /100 | #43 | Exceptional 9.6% |
| Immigrants from Denmark | 99.4 /100 | #44 | Exceptional 9.6% |
| Immigrants from Belgium | 99.4 /100 | #45 | Exceptional 9.6% |
| Australians | 99.4 /100 | #46 | Exceptional 9.6% |
| Indians (Asian) | 99.4 /100 | #47 | Exceptional 9.6% |
| Russians | 99.4 /100 | #48 | Exceptional 9.6% |
| Immigrants from Czechoslovakia | 99.4 /100 | #49 | Exceptional 9.6% |
| Lithuanians | 99.4 /100 | #50 | Exceptional 9.7% |
| Asians | 99.3 /100 | #51 | Exceptional 9.7% |
| Immigrants from South Africa | 99.3 /100 | #52 | Exceptional 9.7% |
| Tongans | 99.3 /100 | #53 | Exceptional 9.7% |
| Swiss | 99.3 /100 | #54 | Exceptional 9.7% |
| Immigrants from Switzerland | 99.3 /100 | #55 | Exceptional 9.7% |
Russian Receiving Food Stamps Correlation Summary
| Measurement | Russian Data | Receiving Food Stamps Data |
| Minimum | 0.22% | 1.0% |
| Maximum | 59.3% | 71.4% |
| Range | 59.0% | 70.4% |
| Mean | 18.2% | 11.4% |
| Median | 16.1% | 7.9% |
| Interquartile 25% (IQ1) | 8.1% | 5.7% |
| Interquartile 75% (IQ3) | 26.3% | 13.5% |
| Interquartile Range (IQR) | 18.2% | 7.8% |
| Standard Deviation (Sample) | 13.0% | 11.4% |
| Standard Deviation (Population) | 12.9% | 11.3% |
Correlation Details
| Russian Percentile | Sample Size | Receiving Food Stamps |
[ 0.0% - 0.5% ] 0.22% | 234,999,003 | 14.0% |
[ 0.5% - 1.0% ] 0.67% | 126,571,745 | 10.3% |
[ 1.0% - 1.5% ] 1.12% | 58,799,118 | 9.2% |
[ 1.5% - 2.0% ] 1.60% | 35,977,348 | 8.6% |
[ 2.0% - 2.5% ] 2.07% | 24,802,940 | 11.7% |
[ 2.5% - 3.0% ] 2.51% | 8,252,642 | 7.0% |
[ 2.5% - 3.0% ] 2.98% | 5,586,592 | 7.6% |
[ 3.0% - 3.5% ] 3.44% | 3,263,739 | 7.0% |
[ 3.5% - 4.0% ] 3.92% | 2,368,196 | 6.8% |
[ 4.0% - 4.5% ] 4.34% | 2,271,350 | 7.0% |
[ 4.5% - 5.0% ] 4.82% | 1,234,453 | 5.8% |
[ 5.0% - 5.5% ] 5.31% | 1,280,732 | 7.3% |
[ 5.5% - 6.0% ] 5.73% | 728,891 | 6.3% |
[ 6.0% - 6.5% ] 6.23% | 764,318 | 5.0% |
[ 6.5% - 7.0% ] 6.71% | 610,937 | 5.3% |
[ 7.0% - 7.5% ] 7.18% | 373,167 | 7.9% |
[ 7.5% - 8.0% ] 7.63% | 458,212 | 5.2% |
[ 8.0% - 8.5% ] 8.07% | 286,269 | 4.1% |
[ 8.0% - 8.5% ] 8.50% | 119,362 | 6.5% |
[ 8.5% - 9.0% ] 8.91% | 223,733 | 4.4% |
[ 9.0% - 9.5% ] 9.39% | 130,389 | 4.7% |
[ 9.5% - 10.0% ] 9.79% | 75,257 | 30.0% |
[ 10.0% - 10.5% ] 10.39% | 61,262 | 5.7% |
[ 10.5% - 11.0% ] 10.87% | 23,094 | 6.1% |
[ 11.0% - 11.5% ] 11.26% | 24,048 | 7.9% |
[ 11.5% - 12.0% ] 11.76% | 14,405 | 5.8% |
[ 12.0% - 12.5% ] 12.06% | 31,278 | 4.9% |
[ 12.5% - 13.0% ] 12.58% | 1,113 | 8.5% |
[ 12.5% - 13.0% ] 12.93% | 13,967 | 2.3% |
[ 13.5% - 14.0% ] 13.66% | 1,647 | 7.9% |
[ 13.5% - 14.0% ] 13.98% | 13,542 | 6.3% |
[ 14.0% - 14.5% ] 14.42% | 12,792 | 5.3% |
[ 15.0% - 15.5% ] 15.14% | 4,724 | 5.7% |
[ 15.0% - 15.5% ] 15.49% | 1,504 | 9.7% |
[ 15.5% - 16.0% ] 15.79% | 4,464 | 13.4% |
[ 16.0% - 16.5% ] 16.31% | 2,814 | 7.7% |
[ 16.5% - 17.0% ] 16.83% | 4,861 | 2.2% |
[ 17.0% - 17.5% ] 17.32% | 1,039 | 2.2% |
[ 17.5% - 18.0% ] 17.60% | 83,069 | 22.9% |
[ 18.0% - 18.5% ] 18.11% | 370 | 22.7% |
[ 18.5% - 19.0% ] 18.61% | 2,289 | 3.6% |
[ 19.0% - 19.5% ] 19.35% | 31 | 15.4% |
[ 19.5% - 20.0% ] 19.83% | 237 | 9.2% |
[ 20.0% - 20.5% ] 20.18% | 1,204 | 1.8% |
[ 20.0% - 20.5% ] 20.47% | 2,530 | 2.9% |
[ 20.5% - 21.0% ] 20.90% | 842 | 10.5% |
[ 21.0% - 21.5% ] 21.36% | 618 | 14.1% |
[ 22.0% - 22.5% ] 22.03% | 354 | 10.1% |
[ 22.0% - 22.5% ] 22.42% | 1,543 | 5.4% |
[ 22.5% - 23.0% ] 22.68% | 291 | 11.3% |
[ 23.0% - 23.5% ] 23.47% | 98 | 13.5% |
[ 24.5% - 25.0% ] 24.57% | 867 | 21.4% |
[ 26.0% - 26.5% ] 26.28% | 666 | 14.1% |
[ 26.0% - 26.5% ] 26.35% | 353 | 1.0% |
[ 26.5% - 27.0% ] 26.92% | 78 | 15.0% |
[ 28.5% - 29.0% ] 28.57% | 56 | 16.7% |
[ 28.5% - 29.0% ] 28.89% | 90 | 13.5% |
[ 30.0% - 30.5% ] 30.30% | 462 | 10.2% |
[ 32.0% - 32.5% ] 32.12% | 137 | 5.2% |
[ 32.5% - 33.0% ] 32.79% | 427 | 11.3% |
[ 33.5% - 34.0% ] 33.54% | 319 | 26.7% |
[ 35.0% - 35.5% ] 35.07% | 402 | 6.8% |
[ 35.0% - 35.5% ] 35.14% | 74 | 71.4% |
[ 35.5% - 36.0% ] 35.79% | 95 | 14.3% |
[ 37.5% - 38.0% ] 37.78% | 90 | 10.0% |
[ 39.0% - 39.5% ] 39.19% | 712 | 7.2% |
[ 41.0% - 41.5% ] 41.49% | 94 | 29.4% |
[ 47.0% - 47.5% ] 47.06% | 51 | 28.0% |
[ 52.0% - 52.5% ] 52.38% | 105 | 9.1% |
[ 59.0% - 59.5% ] 59.26% | 27 | 59.3% |