European vs Chinese Female Unemployment
COMPARE
European
Chinese
Female Unemployment
Female Unemployment Comparison
Europeans
Chinese
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
22nd/ 347
METRIC RANK
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
European vs Chinese Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 549,789,782 people shows a significant positive correlation between the proportion of Europeans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.613 and weighted average of 4.7%. Similarly, the statistical analysis conducted on geographies consisting of 64,725,695 people shows no correlation between the proportion of Chinese and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.049 and weighted average of 4.5%, a difference of 4.6%.
Female Unemployment Correlation Summary
Measurement | European | Chinese |
Minimum | 0.60% | 1.8% |
Maximum | 100.0% | 10.0% |
Range | 99.4% | 8.2% |
Mean | 11.3% | 4.5% |
Median | 5.2% | 4.1% |
Interquartile 25% (IQ1) | 4.3% | 3.3% |
Interquartile 75% (IQ3) | 7.6% | 5.8% |
Interquartile Range (IQR) | 3.3% | 2.5% |
Standard Deviation (Sample) | 17.0% | 1.9% |
Standard Deviation (Population) | 16.9% | 1.9% |
Demographics Similar to Europeans and Chinese by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Europeans are Fijian (4.7%, a difference of 0.020%), Bulgarian (4.7%, a difference of 0.030%), Polish (4.7%, a difference of 0.11%), Latvian (4.7%, a difference of 0.12%), and Croatian (4.7%, a difference of 0.26%). Similarly, the demographic groups most similar to Chinese are German (4.5%, a difference of 0.020%), Slovene (4.5%, a difference of 0.38%), Swedish (4.4%, a difference of 0.77%), Swiss (4.6%, a difference of 1.7%), and Scandinavian (4.6%, a difference of 1.8%).
Demographics | Rating | Rank | Female Unemployment |
Danes | 100.0 /100 | #4 | Exceptional 4.4% |
Hmong | 100.0 /100 | #5 | Exceptional 4.4% |
Swedes | 100.0 /100 | #6 | Exceptional 4.4% |
Chinese | 100.0 /100 | #7 | Exceptional 4.5% |
Germans | 100.0 /100 | #8 | Exceptional 4.5% |
Slovenes | 100.0 /100 | #9 | Exceptional 4.5% |
Swiss | 100.0 /100 | #10 | Exceptional 4.6% |
Scandinavians | 100.0 /100 | #11 | Exceptional 4.6% |
Dutch | 100.0 /100 | #12 | Exceptional 4.6% |
Belgians | 100.0 /100 | #13 | Exceptional 4.6% |
Finns | 100.0 /100 | #14 | Exceptional 4.6% |
English | 100.0 /100 | #15 | Exceptional 4.6% |
Carpatho Rusyns | 99.9 /100 | #16 | Exceptional 4.7% |
Croatians | 99.9 /100 | #17 | Exceptional 4.7% |
Latvians | 99.9 /100 | #18 | Exceptional 4.7% |
Poles | 99.9 /100 | #19 | Exceptional 4.7% |
Bulgarians | 99.9 /100 | #20 | Exceptional 4.7% |
Fijians | 99.9 /100 | #21 | Exceptional 4.7% |
Europeans | 99.9 /100 | #22 | Exceptional 4.7% |
Scottish | 99.9 /100 | #23 | Exceptional 4.7% |
Welsh | 99.9 /100 | #24 | Exceptional 4.7% |