Chinese vs Finnish Female Unemployment
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Chinese
Finnish
Female Unemployment
Female Unemployment Comparison
Chinese
Finns
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
14th/ 347
METRIC RANK
Chinese vs Finnish 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 401,070,094 people shows a weak positive correlation between the proportion of Finns and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.215 and weighted average of 4.6%, a difference of 3.2%.
Female Unemployment Correlation Summary
Measurement | Chinese | Finnish |
Minimum | 1.8% | 0.90% |
Maximum | 10.0% | 18.2% |
Range | 8.2% | 17.3% |
Mean | 4.5% | 5.0% |
Median | 4.1% | 4.1% |
Interquartile 25% (IQ1) | 3.3% | 3.2% |
Interquartile 75% (IQ3) | 5.8% | 5.9% |
Interquartile Range (IQR) | 2.5% | 2.7% |
Standard Deviation (Sample) | 1.9% | 3.4% |
Standard Deviation (Population) | 1.9% | 3.3% |
Demographics Similar to Chinese and Finns 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 Finns are English (4.6%, a difference of 0.20%), Belgian (4.6%, a difference of 0.59%), Dutch (4.6%, a difference of 0.75%), Carpatho Rusyn (4.7%, a difference of 1.1%), and Croatian (4.7%, a difference of 1.1%).
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% |