Czech vs Zimbabwean Male Unemployment
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Czech
Zimbabwean
Male Unemployment
Male Unemployment Comparison
Czechs
Zimbabweans
4.5%
MALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.8%
MALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
25th/ 347
METRIC RANK
Czech vs Zimbabwean Male Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 479,698,612 people shows a poor positive correlation between the proportion of Czechs and unemployment rate among males in the United States with a correlation coefficient (R) of 0.143 and weighted average of 4.5%. Similarly, the statistical analysis conducted on geographies consisting of 69,161,381 people shows a poor positive correlation between the proportion of Zimbabweans and unemployment rate among males in the United States with a correlation coefficient (R) of 0.138 and weighted average of 4.8%, a difference of 5.6%.
Male Unemployment Correlation Summary
| Measurement | Czech | Zimbabwean |
| Minimum | 0.40% | 1.8% |
| Maximum | 30.0% | 10.2% |
| Range | 29.6% | 8.4% |
| Mean | 5.2% | 4.6% |
| Median | 4.0% | 4.4% |
| Interquartile 25% (IQ1) | 2.8% | 3.3% |
| Interquartile 75% (IQ3) | 5.4% | 5.5% |
| Interquartile Range (IQR) | 2.6% | 2.2% |
| Standard Deviation (Sample) | 5.0% | 1.7% |
| Standard Deviation (Population) | 5.0% | 1.7% |
Demographics Similar to Czechs and Zimbabweans by Male Unemployment
In terms of male unemployment, the demographic groups most similar to Czechs are Venezuelan (4.5%, a difference of 0.20%), Luxembourger (4.5%, a difference of 0.26%), Thai (4.6%, a difference of 1.5%), Cuban (4.6%, a difference of 2.1%), and Swedish (4.6%, a difference of 2.3%). Similarly, the demographic groups most similar to Zimbabweans are Dutch (4.8%, a difference of 0.020%), Immigrants from South Central Asia (4.8%, a difference of 0.10%), Tongan (4.8%, a difference of 0.13%), Carpatho Rusyn (4.8%, a difference of 0.18%), and Immigrants from Taiwan (4.8%, a difference of 0.19%).
| Demographics | Rating | Rank | Male Unemployment |
| Venezuelans | 100.0 /100 | #6 | Exceptional 4.5% |
| Czechs | 100.0 /100 | #7 | Exceptional 4.5% |
| Luxembourgers | 100.0 /100 | #8 | Exceptional 4.5% |
| Thais | 100.0 /100 | #9 | Exceptional 4.6% |
| Cubans | 100.0 /100 | #10 | Exceptional 4.6% |
| Swedes | 100.0 /100 | #11 | Exceptional 4.6% |
| Immigrants | Bolivia | 100.0 /100 | #12 | Exceptional 4.7% |
| Bolivians | 100.0 /100 | #13 | Exceptional 4.7% |
| Germans | 100.0 /100 | #14 | Exceptional 4.7% |
| Scandinavians | 100.0 /100 | #15 | Exceptional 4.7% |
| Swiss | 99.9 /100 | #16 | Exceptional 4.7% |
| Filipinos | 99.9 /100 | #17 | Exceptional 4.7% |
| English | 99.9 /100 | #18 | Exceptional 4.8% |
| Europeans | 99.9 /100 | #19 | Exceptional 4.8% |
| Pennsylvania Germans | 99.9 /100 | #20 | Exceptional 4.8% |
| Immigrants | Taiwan | 99.9 /100 | #21 | Exceptional 4.8% |
| Carpatho Rusyns | 99.9 /100 | #22 | Exceptional 4.8% |
| Tongans | 99.9 /100 | #23 | Exceptional 4.8% |
| Immigrants | South Central Asia | 99.9 /100 | #24 | Exceptional 4.8% |
| Zimbabweans | 99.9 /100 | #25 | Exceptional 4.8% |
| Dutch | 99.9 /100 | #26 | Exceptional 4.8% |