Czech Unemployment Among Ages 20 to 24 years
COMPARE
Czech
Select to Compare
Unemployment Among Ages 20 to 24 years
Czech Unemployment Among Ages 20 to 24 years
9.3%
UNEMPLOYMENT | 20 TO 24 YEARS
100.0/ 100
METRIC RATING
17th/ 347
METRIC RANK
Czech Unemployment Among Ages 20 to 24 years Correlation Chart
The statistical analysis conducted on geographies consisting of 456,027,533 people shows a weak positive correlation between the proportion of Czechs and unemployment rate among population between the ages 20 and 24 in the United States with a correlation coefficient (R) of 0.221 and weighted average of 9.3%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 0.24% in unemployment rate among population between the ages 20 and 24.
It is essential to understand that the correlation between the percentage of Czechs and unemployment rate among population between the ages 20 and 24 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Czechs influences an upward or downward trend in the level of unemployment rate among population between the ages 20 and 24 within an area, or if Czechs simply ended up residing in those areas with higher or lower levels of unemployment rate among population between the ages 20 and 24 due to other factors.
Demographics Similar to Czechs by Unemployment Among Ages 20 to 24 years
In terms of unemployment among ages 20 to 24 years, the demographic groups most similar to Czechs are Chinese (9.4%, a difference of 0.44%), Danish (9.3%, a difference of 0.51%), Hmong (9.4%, a difference of 0.56%), Osage (9.4%, a difference of 0.57%), and Immigrants from Bosnia and Herzegovina (9.4%, a difference of 0.58%).
| Demographics | Rating | Rank | Unemployment Among Ages 20 to 24 years |
| Sudanese | 100.0 /100 | #10 | Exceptional 9.2% |
| Zimbabweans | 100.0 /100 | #11 | Exceptional 9.2% |
| Cubans | 100.0 /100 | #12 | Exceptional 9.2% |
| Immigrants from Congo | 100.0 /100 | #13 | Exceptional 9.2% |
| Slovenes | 100.0 /100 | #14 | Exceptional 9.3% |
| Immigrants from Sudan | 100.0 /100 | #15 | Exceptional 9.3% |
| Danes | 100.0 /100 | #16 | Exceptional 9.3% |
| Czechs | 100.0 /100 | #17 | Exceptional 9.3% |
| Chinese | 100.0 /100 | #18 | Exceptional 9.4% |
| Hmong | 100.0 /100 | #19 | Exceptional 9.4% |
| Osage | 100.0 /100 | #20 | Exceptional 9.4% |
| Immigrants from Bosnia and Herzegovina | 100.0 /100 | #21 | Exceptional 9.4% |
| Tongans | 100.0 /100 | #22 | Exceptional 9.4% |
| Immigrants from Nepal | 100.0 /100 | #23 | Exceptional 9.4% |
| Taiwanese | 100.0 /100 | #24 | Exceptional 9.4% |
Czech Unemployment Among Ages 20 to 24 years Correlation Summary
| Measurement | Czech Data | Unemployment Among Ages 20 to 24 years Data |
| Minimum | 0.15% | 2.6% |
| Maximum | 45.3% | 59.4% |
| Range | 45.1% | 56.8% |
| Mean | 12.5% | 14.4% |
| Median | 10.2% | 9.8% |
| Interquartile 25% (IQ1) | 5.1% | 7.5% |
| Interquartile 75% (IQ3) | 17.3% | 18.2% |
| Interquartile Range (IQR) | 12.2% | 10.7% |
| Standard Deviation (Sample) | 10.0% | 10.9% |
| Standard Deviation (Population) | 9.9% | 10.8% |
Correlation Details
| Czech Percentile | Sample Size | Unemployment Among Ages 20 to 24 years |
[ 0.0% - 0.5% ] 0.15% | 267,893,440 | 10.4% |
[ 0.0% - 0.5% ] 0.43% | 108,900,738 | 9.5% |
[ 0.5% - 1.0% ] 0.75% | 35,644,590 | 9.2% |
[ 1.0% - 1.5% ] 1.06% | 17,004,380 | 8.8% |
[ 1.0% - 1.5% ] 1.38% | 9,293,696 | 9.1% |
[ 1.5% - 2.0% ] 1.69% | 5,469,426 | 8.9% |
[ 2.0% - 2.5% ] 2.01% | 3,522,414 | 8.5% |
[ 2.0% - 2.5% ] 2.29% | 1,706,752 | 8.4% |
[ 2.5% - 3.0% ] 2.61% | 1,285,201 | 8.6% |
[ 2.5% - 3.0% ] 2.92% | 928,465 | 9.1% |
[ 3.0% - 3.5% ] 3.23% | 1,111,384 | 7.9% |
[ 3.5% - 4.0% ] 3.54% | 394,175 | 6.4% |
[ 3.5% - 4.0% ] 3.90% | 278,177 | 9.1% |
[ 4.0% - 4.5% ] 4.13% | 515,421 | 5.9% |
[ 4.0% - 4.5% ] 4.49% | 536,002 | 7.5% |
[ 4.5% - 5.0% ] 4.80% | 399,175 | 5.2% |
[ 5.0% - 5.5% ] 5.06% | 250,267 | 8.7% |
[ 5.0% - 5.5% ] 5.36% | 234,544 | 6.9% |
[ 5.5% - 6.0% ] 5.68% | 39,279 | 12.8% |
[ 6.0% - 6.5% ] 6.00% | 49,932 | 13.6% |
[ 6.0% - 6.5% ] 6.29% | 40,836 | 14.0% |
[ 6.5% - 7.0% ] 6.63% | 86,866 | 6.7% |
[ 6.5% - 7.0% ] 6.94% | 43,543 | 15.5% |
[ 7.0% - 7.5% ] 7.34% | 46,392 | 7.9% |
[ 7.5% - 8.0% ] 7.53% | 40,870 | 18.0% |
[ 7.5% - 8.0% ] 7.86% | 32,860 | 9.6% |
[ 8.0% - 8.5% ] 8.24% | 47,014 | 4.7% |
[ 8.0% - 8.5% ] 8.46% | 34,619 | 10.4% |
[ 8.5% - 9.0% ] 8.83% | 13,515 | 22.0% |
[ 9.0% - 9.5% ] 9.12% | 3,608 | 19.8% |
[ 9.0% - 9.5% ] 9.38% | 8,412 | 6.5% |
[ 9.5% - 10.0% ] 9.68% | 6,004 | 13.7% |
[ 9.5% - 10.0% ] 9.96% | 13,751 | 17.4% |
[ 10.0% - 10.5% ] 10.39% | 7,289 | 19.1% |
[ 10.5% - 11.0% ] 10.64% | 3,375 | 19.7% |
[ 10.5% - 11.0% ] 10.95% | 27,138 | 13.9% |
[ 11.0% - 11.5% ] 11.26% | 23,074 | 7.0% |
[ 11.5% - 12.0% ] 11.89% | 1,421 | 14.6% |
[ 12.0% - 12.5% ] 12.10% | 3,026 | 13.6% |
[ 12.5% - 13.0% ] 12.75% | 2,424 | 10.1% |
[ 13.0% - 13.5% ] 13.49% | 11,162 | 8.4% |
[ 13.5% - 14.0% ] 13.86% | 303 | 33.3% |
[ 13.5% - 14.0% ] 13.98% | 23,489 | 4.9% |
[ 14.5% - 15.0% ] 14.51% | 2,825 | 7.0% |
[ 14.5% - 15.0% ] 14.75% | 5,031 | 23.2% |
[ 14.5% - 15.0% ] 14.99% | 387 | 41.7% |
[ 15.5% - 16.0% ] 15.72% | 3,314 | 32.4% |
[ 15.5% - 16.0% ] 15.94% | 822 | 4.9% |
[ 16.5% - 17.0% ] 16.85% | 368 | 59.4% |
[ 17.0% - 17.5% ] 17.28% | 5,169 | 4.0% |
[ 17.5% - 18.0% ] 17.75% | 1,718 | 21.2% |
[ 17.5% - 18.0% ] 17.93% | 1,500 | 30.3% |
[ 18.0% - 18.5% ] 18.29% | 5,067 | 9.2% |
[ 19.0% - 19.5% ] 19.15% | 188 | 50.0% |
[ 20.0% - 20.5% ] 20.28% | 843 | 33.0% |
[ 20.5% - 21.0% ] 20.55% | 2,657 | 2.6% |
[ 21.5% - 22.0% ] 21.66% | 1,967 | 5.0% |
[ 24.5% - 25.0% ] 24.60% | 927 | 18.2% |
[ 25.5% - 26.0% ] 25.91% | 1,077 | 14.3% |
[ 27.5% - 28.0% ] 27.72% | 2,071 | 23.5% |
[ 28.5% - 29.0% ] 28.52% | 6,315 | 16.8% |
[ 30.0% - 30.5% ] 30.38% | 609 | 18.2% |
[ 30.5% - 31.0% ] 30.79% | 906 | 21.7% |
[ 33.5% - 34.0% ] 33.68% | 4,365 | 16.6% |
[ 43.5% - 44.0% ] 43.86% | 342 | 5.3% |
[ 45.0% - 45.5% ] 45.29% | 616 | 4.3% |