Chinese vs European Female Unemployment
COMPARE
Chinese
European
Female Unemployment
Female Unemployment Comparison
Chinese
Europeans
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
22nd/ 347
METRIC RANK
Chinese vs European Female Unemployment Correlation Chart
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%. Similarly, 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%, a difference of 4.6%.
Female Unemployment Correlation Summary
| Measurement | Chinese | European |
| Minimum | 1.8% | 0.60% |
| Maximum | 10.0% | 100.0% |
| Range | 8.2% | 99.4% |
| Mean | 4.5% | 11.3% |
| Median | 4.1% | 5.2% |
| Interquartile 25% (IQ1) | 3.3% | 4.3% |
| Interquartile 75% (IQ3) | 5.8% | 7.6% |
| Interquartile Range (IQR) | 2.5% | 3.3% |
| Standard Deviation (Sample) | 1.9% | 17.0% |
| Standard Deviation (Population) | 1.9% | 16.9% |
Demographics Similar to Chinese and Europeans by Female Unemployment
In terms of female unemployment, 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%). Similarly, 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%).
| 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% |