Chinese vs Czech Unemployment Among Ages 25 to 29 years
COMPARE
Chinese
Czech
Unemployment Among Ages 25 to 29 years
Unemployment Among Ages 25 to 29 years Comparison
Chinese
Czechs
6.1%
UNEMPLOYMENT AMONG AGES 25 TO 29 YEARS
99.6/ 100
METRIC RATING
32nd/ 347
METRIC RANK
6.2%
UNEMPLOYMENT AMONG AGES 25 TO 29 YEARS
99.2/ 100
METRIC RATING
43rd/ 347
METRIC RANK
Chinese vs Czech Unemployment Among Ages 25 to 29 years Correlation Chart
The statistical analysis conducted on geographies consisting of 63,787,303 people shows a poor positive correlation between the proportion of Chinese and unemployment rate among population between the ages 25 and 29 in the United States with a correlation coefficient (R) of 0.140 and weighted average of 6.1%. Similarly, 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%, a difference of 1.1%.
Unemployment Among Ages 25 to 29 years Correlation Summary
Measurement | Chinese | Czech |
Minimum | 0.40% | 1.5% |
Maximum | 22.2% | 54.5% |
Range | 21.8% | 53.0% |
Mean | 7.0% | 10.9% |
Median | 6.3% | 7.2% |
Interquartile 25% (IQ1) | 4.5% | 5.6% |
Interquartile 75% (IQ3) | 8.0% | 13.7% |
Interquartile Range (IQR) | 3.5% | 8.1% |
Standard Deviation (Sample) | 4.2% | 9.3% |
Standard Deviation (Population) | 4.2% | 9.2% |
Demographics Similar to Chinese and 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 Chinese are Yugoslavian (6.1%, a difference of 0.10%), Filipino (6.1%, a difference of 0.35%), Immigrants from Morocco (6.1%, a difference of 0.36%), Immigrants from Zimbabwe (6.1%, a difference of 0.40%), and Taiwanese (6.1%, a difference of 0.42%). Similarly, 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 |
Immigrants | Zaire | 99.7 /100 | #27 | Exceptional 6.0% |
Danes | 99.7 /100 | #28 | Exceptional 6.0% |
Immigrants | South Central Asia | 99.7 /100 | #29 | Exceptional 6.1% |
Bulgarians | 99.7 /100 | #30 | Exceptional 6.1% |
Filipinos | 99.7 /100 | #31 | Exceptional 6.1% |
Chinese | 99.6 /100 | #32 | Exceptional 6.1% |
Yugoslavians | 99.6 /100 | #33 | Exceptional 6.1% |
Immigrants | Morocco | 99.5 /100 | #34 | Exceptional 6.1% |
Immigrants | Zimbabwe | 99.5 /100 | #35 | Exceptional 6.1% |
Taiwanese | 99.5 /100 | #36 | Exceptional 6.1% |
Immigrants | 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 | 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 | Lithuania | 99.0 /100 | #46 | Exceptional 6.2% |
Latvians | 99.0 /100 | #47 | Exceptional 6.2% |