Chinese vs Belgian Female Unemployment
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Chinese
Belgian
Female Unemployment
Female Unemployment Comparison
Chinese
Belgians
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
13th/ 347
METRIC RANK
Chinese vs Belgian 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 353,426,592 people shows a mild negative correlation between the proportion of Belgians and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.366 and weighted average of 4.6%, a difference of 2.6%.
Female Unemployment Correlation Summary
Measurement | Chinese | Belgian |
Minimum | 1.8% | 0.90% |
Maximum | 10.0% | 6.8% |
Range | 8.2% | 5.9% |
Mean | 4.5% | 3.6% |
Median | 4.1% | 3.5% |
Interquartile 25% (IQ1) | 3.3% | 2.4% |
Interquartile 75% (IQ3) | 5.8% | 4.4% |
Interquartile Range (IQR) | 2.5% | 2.0% |
Standard Deviation (Sample) | 1.9% | 1.5% |
Standard Deviation (Population) | 1.9% | 1.4% |
Demographics Similar to Chinese and Belgians 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 Belgians are Dutch (4.6%, a difference of 0.15%), Finnish (4.6%, a difference of 0.59%), Scandinavian (4.6%, a difference of 0.75%), English (4.6%, a difference of 0.79%), and Swiss (4.6%, a difference of 0.86%).
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% |