Czech vs Asian Poverty
COMPARE
Czech
 Asian
 Poverty
Poverty Comparison
Czechs
Asians
10.8%
POVERTY
99.3/ 100
METRIC RATING
38th/ 347
METRIC RANK
11.0%
POVERTY
98.9/ 100
METRIC RATING
50th/ 347
METRIC RANK
Czech vs Asian Poverty Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 550,188,892 people shows a weak negative correlation between the proportion of Asians and poverty level in the United States with a correlation coefficient (R) of -0.248 and weighted average of 11.0%, a difference of 1.3%.
 
Poverty Correlation Summary
| Measurement | Czech | Asian | 
| Minimum | 0.93% | 1.8% | 
| Maximum | 34.6% | 31.8% | 
| Range | 33.7% | 29.9% | 
| Mean | 9.5% | 9.6% | 
| Median | 9.5% | 9.6% | 
| Interquartile 25% (IQ1) | 7.6% | 7.6% | 
| Interquartile 75% (IQ3) | 10.9% | 11.0% | 
| Interquartile Range (IQR) | 3.3% | 3.4% | 
| Standard Deviation (Sample) | 4.8% | 3.5% | 
| Standard Deviation (Population) | 4.7% | 3.5% | 
Demographics Similar to Czechs and Asians by Poverty
In terms of poverty, 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%). Similarly, the demographic groups most similar to Asians are Immigrants from Japan (11.0%, a difference of 0.030%), Slovene (11.0%, a difference of 0.040%), Immigrants from Romania (11.0%, a difference of 0.080%), Immigrants from Czechoslovakia (11.0%, a difference of 0.10%), and Turkish (11.0%, a difference of 0.18%).
| Demographics | Rating | Rank | Poverty | 
| 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%  | 
| Immigrants | Philippines | 98.7 /100 | #52  | Exceptional 11.0%  | 
| Immigrants | Austria | 98.6 /100 | #53  | Exceptional 11.1%  | 
| Immigrants | Bulgaria | 98.5 /100 | #54  | Exceptional 11.1%  |