Czech vs Immigrants from Singapore Poverty
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Czech
Immigrants from Singapore
Poverty
Poverty Comparison
Czechs
Immigrants from Singapore
10.8%
POVERTY
99.3/ 100
METRIC RATING
38th/ 347
METRIC RANK
10.9%
POVERTY
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Czech vs Immigrants from Singapore 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 137,414,586 people shows a weak negative correlation between the proportion of Immigrants from Singapore and poverty level in the United States with a correlation coefficient (R) of -0.279 and weighted average of 10.9%, a difference of 0.49%.
Poverty Correlation Summary
Measurement | Czech | Immigrants from Singapore |
Minimum | 0.93% | 0.45% |
Maximum | 34.6% | 21.5% |
Range | 33.7% | 21.0% |
Mean | 9.5% | 9.3% |
Median | 9.5% | 9.2% |
Interquartile 25% (IQ1) | 7.6% | 6.4% |
Interquartile 75% (IQ3) | 10.9% | 11.1% |
Interquartile Range (IQR) | 3.3% | 4.7% |
Standard Deviation (Sample) | 4.8% | 4.3% |
Standard Deviation (Population) | 4.7% | 4.2% |
Demographics Similar to Czechs and Immigrants from Singapore 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 Immigrants from Singapore are Korean (10.9%, a difference of 0.050%), Immigrants from Moldova (10.9%, a difference of 0.14%), Immigrants from Iran (10.9%, a difference of 0.27%), Russian (10.9%, a difference of 0.36%), and Immigrants from Pakistan (10.8%, a difference of 0.41%).
Demographics | Rating | Rank | Poverty |
Danes | 99.5 /100 | #30 | Exceptional 10.7% |
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% |