Carpatho Rusyn vs Chinese Female Unemployment
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Carpatho Rusyn
Chinese
Female Unemployment
Female Unemployment Comparison
Carpatho Rusyns
Chinese
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
16th/ 347
METRIC RANK
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
Carpatho Rusyn vs Chinese Female Unemployment Correlation Chart
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%. Similarly, 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%, a difference of 4.3%.
Female Unemployment Correlation Summary
| Measurement | Carpatho Rusyn | Chinese |
| Minimum | 0.80% | 1.8% |
| Maximum | 27.3% | 10.0% |
| Range | 26.5% | 8.2% |
| Mean | 5.4% | 4.5% |
| Median | 4.4% | 4.1% |
| Interquartile 25% (IQ1) | 3.2% | 3.3% |
| Interquartile 75% (IQ3) | 5.3% | 5.8% |
| Interquartile Range (IQR) | 2.1% | 2.5% |
| Standard Deviation (Sample) | 5.2% | 1.9% |
| Standard Deviation (Population) | 5.1% | 1.9% |
Demographics Similar to Carpatho Rusyns and Chinese by Female Unemployment
In terms of female unemployment, 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%). Similarly, 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%).
| 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% |