Chinese vs Carpatho Rusyn Female Unemployment
COMPARE
Chinese
Carpatho Rusyn
Female Unemployment
Female Unemployment Comparison
Chinese
Carpatho Rusyns
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
16th/ 347
METRIC RANK
Chinese vs Carpatho Rusyn 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 58,788,247 people shows a moderate positive correlation between the proportion of Carpatho Rusyns and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.430 and weighted average of 4.7%, a difference of 4.3%.
Female Unemployment Correlation Summary
Measurement | Chinese | Carpatho Rusyn |
Minimum | 1.8% | 0.80% |
Maximum | 10.0% | 27.3% |
Range | 8.2% | 26.5% |
Mean | 4.5% | 5.4% |
Median | 4.1% | 4.4% |
Interquartile 25% (IQ1) | 3.3% | 3.2% |
Interquartile 75% (IQ3) | 5.8% | 5.3% |
Interquartile Range (IQR) | 2.5% | 2.1% |
Standard Deviation (Sample) | 1.9% | 5.2% |
Standard Deviation (Population) | 1.9% | 5.1% |
Demographics Similar to Chinese and Carpatho Rusyns 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 Carpatho Rusyns are Croatian (4.7%, a difference of 0.020%), Latvian (4.7%, a difference of 0.16%), Polish (4.7%, a difference of 0.17%), Bulgarian (4.7%, a difference of 0.25%), and Fijian (4.7%, a difference of 0.27%).
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% |