Chinese vs English Female Unemployment
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Chinese
English
Female Unemployment
Female Unemployment Comparison
Chinese
English
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
15th/ 347
METRIC RANK
Chinese vs English 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 563,002,519 people shows a significant positive correlation between the proportion of English and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.647 and weighted average of 4.6%, a difference of 3.4%.
Female Unemployment Correlation Summary
Measurement | Chinese | English |
Minimum | 1.8% | 2.5% |
Maximum | 10.0% | 100.0% |
Range | 8.2% | 97.5% |
Mean | 4.5% | 12.9% |
Median | 4.1% | 5.0% |
Interquartile 25% (IQ1) | 3.3% | 4.1% |
Interquartile 75% (IQ3) | 5.8% | 10.5% |
Interquartile Range (IQR) | 2.5% | 6.4% |
Standard Deviation (Sample) | 1.9% | 19.0% |
Standard Deviation (Population) | 1.9% | 18.9% |
Demographics Similar to Chinese and English 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 English are Finnish (4.6%, a difference of 0.20%), Belgian (4.6%, a difference of 0.79%), Carpatho Rusyn (4.7%, a difference of 0.85%), Croatian (4.7%, a difference of 0.87%), and Dutch (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% |
Fijians | 99.9 /100 | #21 | Exceptional 4.7% |