Chinese vs Dutch Female Unemployment
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Chinese
Dutch
Female Unemployment
Female Unemployment Comparison
Chinese
Dutch
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
12th/ 347
METRIC RANK
Chinese vs Dutch 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 542,310,807 people shows a weak negative correlation between the proportion of Dutch and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.264 and weighted average of 4.6%, a difference of 2.4%.
Female Unemployment Correlation Summary
Measurement | Chinese | Dutch |
Minimum | 1.8% | 0.30% |
Maximum | 10.0% | 12.7% |
Range | 8.2% | 12.4% |
Mean | 4.5% | 4.1% |
Median | 4.1% | 4.2% |
Interquartile 25% (IQ1) | 3.3% | 2.5% |
Interquartile 75% (IQ3) | 5.8% | 4.8% |
Interquartile Range (IQR) | 2.5% | 2.3% |
Standard Deviation (Sample) | 1.9% | 2.2% |
Standard Deviation (Population) | 1.9% | 2.2% |
Demographics Similar to Chinese and Dutch 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 Dutch are Belgian (4.6%, a difference of 0.15%), Scandinavian (4.6%, a difference of 0.59%), Swiss (4.6%, a difference of 0.71%), Finnish (4.6%, a difference of 0.75%), and English (4.6%, a difference of 0.94%).
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% |