Chinese vs German Female Unemployment
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Chinese
German
Female Unemployment
Female Unemployment Comparison
Chinese
Germans
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
8th/ 347
METRIC RANK
Chinese vs German 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 564,194,310 people shows a poor positive correlation between the proportion of Germans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.104 and weighted average of 4.5%, a difference of 0.020%.
Female Unemployment Correlation Summary
Measurement | Chinese | German |
Minimum | 1.8% | 1.1% |
Maximum | 10.0% | 32.1% |
Range | 8.2% | 31.0% |
Mean | 4.5% | 4.7% |
Median | 4.1% | 3.8% |
Interquartile 25% (IQ1) | 3.3% | 3.2% |
Interquartile 75% (IQ3) | 5.8% | 4.7% |
Interquartile Range (IQR) | 2.5% | 1.5% |
Standard Deviation (Sample) | 1.9% | 3.7% |
Standard Deviation (Population) | 1.9% | 3.6% |
Demographics Similar to Chinese and Germans by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Chinese are Slovene (4.5%, a difference of 0.38%), Swedish (4.4%, a difference of 0.77%), Swiss (4.6%, a difference of 1.7%), Scandinavian (4.6%, a difference of 1.8%), and Hmong (4.4%, a difference of 2.0%). Similarly, the demographic groups most similar to Germans are Slovene (4.5%, a difference of 0.36%), Swedish (4.4%, a difference of 0.79%), Swiss (4.6%, a difference of 1.7%), Scandinavian (4.6%, a difference of 1.8%), and Hmong (4.4%, a difference of 2.0%).
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% |