Chinese vs Danish Female Unemployment
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Chinese
Danish
Female Unemployment
Female Unemployment Comparison
Chinese
Danes
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
4th/ 347
METRIC RANK
Chinese vs Danish 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 467,603,755 people shows a poor positive correlation between the proportion of Danes and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.136 and weighted average of 4.4%, a difference of 2.1%.
Female Unemployment Correlation Summary
| Measurement | Chinese | Danish |
| Minimum | 1.8% | 1.4% |
| Maximum | 10.0% | 26.7% |
| Range | 8.2% | 25.3% |
| Mean | 4.5% | 5.4% |
| Median | 4.1% | 3.8% |
| Interquartile 25% (IQ1) | 3.3% | 2.9% |
| Interquartile 75% (IQ3) | 5.8% | 5.9% |
| Interquartile Range (IQR) | 2.5% | 3.0% |
| Standard Deviation (Sample) | 1.9% | 4.6% |
| Standard Deviation (Population) | 1.9% | 4.5% |
Demographics Similar to Chinese and Danes 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 Danes are Luxembourger (4.4%, a difference of 0.030%), Czech (4.4%, a difference of 0.040%), Hmong (4.4%, a difference of 0.11%), Swedish (4.4%, a difference of 1.3%), and German (4.5%, a difference of 2.1%).
| Demographics | Rating | Rank | Female Unemployment |
| Norwegians | 100.0 /100 | #1 | Exceptional 4.2% |
| Czechs | 100.0 /100 | #2 | Exceptional 4.4% |
| Luxembourgers | 100.0 /100 | #3 | Exceptional 4.4% |
| 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% |