Immigrants from Moldova vs Czech Poverty
COMPARE
Immigrants from Moldova
Czech
Poverty
Poverty Comparison
Immigrants from Moldova
Czechs
10.9%
POVERTY
99.1/ 100
METRIC RATING
44th/ 347
METRIC RANK
10.8%
POVERTY
99.3/ 100
METRIC RATING
38th/ 347
METRIC RANK
Immigrants from Moldova vs Czech Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 124,373,713 people shows no correlation between the proportion of Immigrants from Moldova and poverty level in the United States with a correlation coefficient (R) of 0.031 and weighted average of 10.9%. Similarly, the statistical analysis conducted on geographies consisting of 484,408,527 people shows a weak negative correlation between the proportion of Czechs and poverty level in the United States with a correlation coefficient (R) of -0.223 and weighted average of 10.8%, a difference of 0.63%.
Poverty Correlation Summary
| Measurement | Immigrants from Moldova | Czech |
| Minimum | 2.4% | 0.93% |
| Maximum | 26.1% | 34.6% |
| Range | 23.7% | 33.7% |
| Mean | 10.3% | 9.5% |
| Median | 9.7% | 9.5% |
| Interquartile 25% (IQ1) | 7.4% | 7.6% |
| Interquartile 75% (IQ3) | 12.9% | 10.9% |
| Interquartile Range (IQR) | 5.5% | 3.3% |
| Standard Deviation (Sample) | 4.8% | 4.8% |
| Standard Deviation (Population) | 4.7% | 4.7% |
Demographics Similar to Immigrants from Moldova and Czechs by Poverty
In terms of poverty, the demographic groups most similar to Immigrants from Moldova are Immigrants from Singapore (10.9%, a difference of 0.14%), Korean (10.9%, a difference of 0.19%), Immigrants from Iran (10.9%, a difference of 0.41%), Russian (10.9%, a difference of 0.50%), and Turkish (11.0%, a difference of 0.51%). Similarly, the demographic groups most similar to Czechs are Immigrants from Greece (10.8%, a difference of 0.050%), Immigrants from Pakistan (10.8%, a difference of 0.080%), Russian (10.9%, a difference of 0.13%), Cypriot (10.8%, a difference of 0.14%), and Tongan (10.8%, a difference of 0.22%).
| Demographics | Rating | Rank | Poverty |
| Poles | 99.5 /100 | #31 | Exceptional 10.7% |
| Iranians | 99.5 /100 | #32 | Exceptional 10.7% |
| Macedonians | 99.4 /100 | #33 | Exceptional 10.8% |
| Immigrants | Poland | 99.4 /100 | #34 | Exceptional 10.8% |
| Tongans | 99.4 /100 | #35 | Exceptional 10.8% |
| Cypriots | 99.3 /100 | #36 | Exceptional 10.8% |
| Immigrants | Greece | 99.3 /100 | #37 | Exceptional 10.8% |
| Czechs | 99.3 /100 | #38 | Exceptional 10.8% |
| Immigrants | Pakistan | 99.3 /100 | #39 | Exceptional 10.8% |
| Russians | 99.3 /100 | #40 | Exceptional 10.9% |
| Immigrants | Iran | 99.2 /100 | #41 | Exceptional 10.9% |
| Koreans | 99.2 /100 | #42 | Exceptional 10.9% |
| Immigrants | Singapore | 99.2 /100 | #43 | Exceptional 10.9% |
| Immigrants | Moldova | 99.1 /100 | #44 | Exceptional 10.9% |
| Turks | 98.9 /100 | #45 | Exceptional 11.0% |
| Immigrants | Czechoslovakia | 98.9 /100 | #46 | Exceptional 11.0% |
| Immigrants | Romania | 98.9 /100 | #47 | Exceptional 11.0% |
| Slovenes | 98.9 /100 | #48 | Exceptional 11.0% |
| Immigrants | Japan | 98.9 /100 | #49 | Exceptional 11.0% |
| Asians | 98.9 /100 | #50 | Exceptional 11.0% |
| Immigrants | Croatia | 98.7 /100 | #51 | Exceptional 11.0% |