Czech Unemployment Among Ages 25 to 29 years
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Unemployment Among Ages 25 to 29 years
Czech Unemployment Among Ages 25 to 29 years
6.2%
UNEMPLOYMENT | 25 TO 29 YEARS
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Czech Unemployment Among Ages 25 to 29 years Correlation Chart
The statistical analysis conducted on geographies consisting of 444,173,267 people shows a slight positive correlation between the proportion of Czechs and unemployment rate among population between the ages 25 and 29 in the United States with a correlation coefficient (R) of 0.071 and weighted average of 6.2%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 0.059% in unemployment rate among population between the ages 25 and 29.
It is essential to understand that the correlation between the percentage of Czechs and unemployment rate among population between the ages 25 and 29 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 25 and 29 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 25 and 29 due to other factors.
Demographics Similar to Czechs by Unemployment Among Ages 25 to 29 years
In terms of unemployment among ages 25 to 29 years, the demographic groups most similar to Czechs are Mongolian (6.2%, a difference of 0.040%), Jordanian (6.1%, a difference of 0.13%), Fijian (6.1%, a difference of 0.16%), Immigrants from Kenya (6.1%, a difference of 0.20%), and Venezuelan (6.2%, a difference of 0.24%).
| Demographics | Rating | Rank | Unemployment Among Ages 25 to 29 years |
| Taiwanese | 99.5 /100 | #36 | Exceptional 6.1% |
| Immigrants from Serbia | 99.5 /100 | #37 | Exceptional 6.1% |
| Ethiopians | 99.4 /100 | #38 | Exceptional 6.1% |
| Indonesians | 99.3 /100 | #39 | Exceptional 6.1% |
| Immigrants from Kenya | 99.3 /100 | #40 | Exceptional 6.1% |
| Fijians | 99.3 /100 | #41 | Exceptional 6.1% |
| Jordanians | 99.3 /100 | #42 | Exceptional 6.1% |
| Czechs | 99.2 /100 | #43 | Exceptional 6.2% |
| Mongolians | 99.2 /100 | #44 | Exceptional 6.2% |
| Venezuelans | 99.1 /100 | #45 | Exceptional 6.2% |
| Immigrants from Lithuania | 99.0 /100 | #46 | Exceptional 6.2% |
| Latvians | 99.0 /100 | #47 | Exceptional 6.2% |
| Immigrants from Australia | 99.0 /100 | #48 | Exceptional 6.2% |
| German Russians | 99.0 /100 | #49 | Exceptional 6.2% |
| Soviet Union | 98.9 /100 | #50 | Exceptional 6.2% |
Czech Unemployment Among Ages 25 to 29 years Correlation Summary
| Measurement | Czech Data | Unemployment Among Ages 25 to 29 years Data |
| Minimum | 0.15% | 1.5% |
| Maximum | 48.1% | 54.5% |
| Range | 47.9% | 53.0% |
| Mean | 13.2% | 10.9% |
| Median | 10.5% | 7.2% |
| Interquartile 25% (IQ1) | 5.2% | 5.6% |
| Interquartile 75% (IQ3) | 16.2% | 13.7% |
| Interquartile Range (IQR) | 11.0% | 8.1% |
| Standard Deviation (Sample) | 11.2% | 9.3% |
| Standard Deviation (Population) | 11.2% | 9.2% |
Correlation Details
| Czech Percentile | Sample Size | Unemployment Among Ages 25 to 29 years |
[ 0.0% - 0.5% ] 0.15% | 262,461,740 | 7.0% |
[ 0.0% - 0.5% ] 0.43% | 106,468,901 | 6.1% |
[ 0.5% - 1.0% ] 0.75% | 34,405,015 | 5.7% |
[ 1.0% - 1.5% ] 1.06% | 16,217,762 | 5.5% |
[ 1.0% - 1.5% ] 1.38% | 8,936,529 | 5.6% |
[ 1.5% - 2.0% ] 1.69% | 5,040,961 | 5.8% |
[ 2.0% - 2.5% ] 2.01% | 3,183,341 | 5.5% |
[ 2.0% - 2.5% ] 2.30% | 1,564,169 | 6.3% |
[ 2.5% - 3.0% ] 2.61% | 1,204,630 | 5.8% |
[ 2.5% - 3.0% ] 2.93% | 820,277 | 5.5% |
[ 3.0% - 3.5% ] 3.24% | 1,071,210 | 5.7% |
[ 3.5% - 4.0% ] 3.56% | 370,170 | 7.2% |
[ 3.5% - 4.0% ] 3.89% | 288,837 | 7.3% |
[ 4.0% - 4.5% ] 4.12% | 461,973 | 3.9% |
[ 4.0% - 4.5% ] 4.49% | 468,737 | 4.4% |
[ 4.5% - 5.0% ] 4.80% | 344,525 | 4.3% |
[ 5.0% - 5.5% ] 5.08% | 176,379 | 6.6% |
[ 5.0% - 5.5% ] 5.36% | 162,154 | 7.9% |
[ 5.5% - 6.0% ] 5.62% | 31,053 | 11.8% |
[ 5.5% - 6.0% ] 5.92% | 28,471 | 5.5% |
[ 6.0% - 6.5% ] 6.27% | 36,884 | 6.0% |
[ 6.5% - 7.0% ] 6.62% | 88,788 | 6.0% |
[ 6.5% - 7.0% ] 6.92% | 37,921 | 6.8% |
[ 7.0% - 7.5% ] 7.28% | 14,268 | 22.7% |
[ 7.5% - 8.0% ] 7.57% | 9,323 | 16.6% |
[ 7.5% - 8.0% ] 7.84% | 28,599 | 9.2% |
[ 8.0% - 8.5% ] 8.26% | 21,240 | 12.2% |
[ 8.0% - 8.5% ] 8.48% | 30,266 | 15.9% |
[ 8.5% - 9.0% ] 8.73% | 8,733 | 13.8% |
[ 9.0% - 9.5% ] 9.04% | 7,869 | 12.8% |
[ 9.0% - 9.5% ] 9.46% | 3,361 | 2.1% |
[ 9.5% - 10.0% ] 9.77% | 9,329 | 14.1% |
[ 9.5% - 10.0% ] 9.92% | 11,123 | 23.1% |
[ 10.0% - 10.5% ] 10.36% | 8,687 | 7.2% |
[ 10.5% - 11.0% ] 10.62% | 1,639 | 31.5% |
[ 10.5% - 11.0% ] 10.95% | 24,383 | 4.5% |
[ 11.0% - 11.5% ] 11.30% | 16,740 | 5.3% |
[ 11.5% - 12.0% ] 11.52% | 1,346 | 19.4% |
[ 11.5% - 12.0% ] 11.86% | 2,276 | 33.6% |
[ 12.0% - 12.5% ] 12.38% | 5,745 | 39.0% |
[ 12.5% - 13.0% ] 12.76% | 6,217 | 7.7% |
[ 13.0% - 13.5% ] 13.20% | 1,318 | 14.3% |
[ 13.5% - 14.0% ] 13.54% | 325 | 54.5% |
[ 13.5% - 14.0% ] 13.88% | 836 | 13.5% |
[ 13.5% - 14.0% ] 13.97% | 21,407 | 11.2% |
[ 14.0% - 14.5% ] 14.43% | 8,182 | 10.1% |
[ 14.5% - 15.0% ] 14.75% | 5,031 | 5.6% |
[ 15.0% - 15.5% ] 15.05% | 2,830 | 5.3% |
[ 15.0% - 15.5% ] 15.27% | 2,567 | 9.2% |
[ 15.5% - 16.0% ] 15.68% | 2,577 | 3.3% |
[ 16.0% - 16.5% ] 16.06% | 965 | 2.2% |
[ 16.0% - 16.5% ] 16.43% | 986 | 28.0% |
[ 17.0% - 17.5% ] 17.29% | 4,864 | 6.7% |
[ 18.0% - 18.5% ] 18.14% | 1,323 | 15.9% |
[ 19.5% - 20.0% ] 19.75% | 476 | 3.6% |
[ 20.0% - 20.5% ] 20.27% | 296 | 14.3% |
[ 21.0% - 21.5% ] 21.16% | 6,677 | 5.5% |
[ 22.0% - 22.5% ] 22.27% | 5,653 | 6.6% |
[ 22.5% - 23.0% ] 22.71% | 317 | 17.6% |
[ 23.5% - 24.0% ] 23.55% | 8,145 | 7.2% |
[ 28.5% - 29.0% ] 28.52% | 6,315 | 1.5% |
[ 33.5% - 34.0% ] 33.68% | 4,365 | 10.2% |
[ 35.5% - 36.0% ] 35.60% | 663 | 9.3% |
[ 37.0% - 37.5% ] 37.02% | 1,210 | 5.9% |
[ 39.5% - 40.0% ] 39.95% | 2,095 | 12.8% |
[ 40.0% - 40.5% ] 40.49% | 1,235 | 9.1% |
[ 45.5% - 46.0% ] 45.90% | 366 | 2.9% |
[ 48.0% - 48.5% ] 48.07% | 672 | 20.1% |