Lithuanian vs Czech Male Poverty
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Lithuanian
Czech
Male Poverty
Male Poverty Comparison
Lithuanians
Czechs
9.5%
MALE POVERTY
99.8/ 100
METRIC RATING
18th/ 347
METRIC RANK
9.8%
MALE POVERTY
99.4/ 100
METRIC RATING
36th/ 347
METRIC RANK
Lithuanian vs Czech Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 421,480,494 people shows a substantial positive correlation between the proportion of Lithuanians and poverty level among males in the United States with a correlation coefficient (R) of 0.503 and weighted average of 9.5%. Similarly, the statistical analysis conducted on geographies consisting of 484,041,978 people shows a slight negative correlation between the proportion of Czechs and poverty level among males in the United States with a correlation coefficient (R) of -0.096 and weighted average of 9.8%, a difference of 2.7%.
Male Poverty Correlation Summary
| Measurement | Lithuanian | Czech |
| Minimum | 0.15% | 0.55% |
| Maximum | 53.0% | 50.0% |
| Range | 52.8% | 49.5% |
| Mean | 11.4% | 9.5% |
| Median | 8.5% | 8.7% |
| Interquartile 25% (IQ1) | 6.9% | 7.0% |
| Interquartile 75% (IQ3) | 13.0% | 10.4% |
| Interquartile Range (IQR) | 6.0% | 3.5% |
| Standard Deviation (Sample) | 8.6% | 6.4% |
| Standard Deviation (Population) | 8.6% | 6.4% |
Demographics Similar to Lithuanians and Czechs by Male Poverty
In terms of male poverty, the demographic groups most similar to Lithuanians are Norwegian (9.5%, a difference of 0.17%), Immigrants from Hong Kong (9.6%, a difference of 0.18%), Latvian (9.6%, a difference of 0.28%), Immigrants from Scotland (9.6%, a difference of 0.55%), and Croatian (9.6%, a difference of 0.80%). Similarly, the demographic groups most similar to Czechs are Iranian (9.8%, a difference of 0.090%), Immigrants from Greece (9.8%, a difference of 0.22%), Immigrants from Poland (9.8%, a difference of 0.39%), Immigrants from Northern Europe (9.7%, a difference of 0.54%), and Macedonian (9.7%, a difference of 0.63%).
| Demographics | Rating | Rank | Male Poverty |
| Norwegians | 99.8 /100 | #17 | Exceptional 9.5% |
| Lithuanians | 99.8 /100 | #18 | Exceptional 9.5% |
| Immigrants | Hong Kong | 99.7 /100 | #19 | Exceptional 9.6% |
| Latvians | 99.7 /100 | #20 | Exceptional 9.6% |
| Immigrants | Scotland | 99.7 /100 | #21 | Exceptional 9.6% |
| Croatians | 99.7 /100 | #22 | Exceptional 9.6% |
| Italians | 99.7 /100 | #23 | Exceptional 9.6% |
| Swedes | 99.7 /100 | #24 | Exceptional 9.6% |
| Eastern Europeans | 99.6 /100 | #25 | Exceptional 9.6% |
| Burmese | 99.6 /100 | #26 | Exceptional 9.7% |
| Danes | 99.6 /100 | #27 | Exceptional 9.7% |
| Immigrants | Korea | 99.6 /100 | #28 | Exceptional 9.7% |
| Greeks | 99.6 /100 | #29 | Exceptional 9.7% |
| Poles | 99.5 /100 | #30 | Exceptional 9.7% |
| Tongans | 99.5 /100 | #31 | Exceptional 9.7% |
| Macedonians | 99.5 /100 | #32 | Exceptional 9.7% |
| Immigrants | Northern Europe | 99.5 /100 | #33 | Exceptional 9.7% |
| Immigrants | Poland | 99.5 /100 | #34 | Exceptional 9.8% |
| Iranians | 99.4 /100 | #35 | Exceptional 9.8% |
| Czechs | 99.4 /100 | #36 | Exceptional 9.8% |
| Immigrants | Greece | 99.3 /100 | #37 | Exceptional 9.8% |