Czech vs Latvian Female Unemployment
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Czech
Latvian
Female Unemployment
Female Unemployment Comparison
Czechs
Latvians
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
2nd/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
18th/ 347
METRIC RANK
Czech vs Latvian Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 478,075,637 people shows a weak positive correlation between the proportion of Czechs and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.224 and weighted average of 4.4%. Similarly, the statistical analysis conducted on geographies consisting of 220,201,927 people shows a weak positive correlation between the proportion of Latvians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.215 and weighted average of 4.7%, a difference of 6.7%.
Female Unemployment Correlation Summary
| Measurement | Czech | Latvian |
| Minimum | 0.54% | 0.60% |
| Maximum | 18.8% | 24.5% |
| Range | 18.3% | 23.9% |
| Mean | 4.5% | 5.3% |
| Median | 3.8% | 4.3% |
| Interquartile 25% (IQ1) | 3.0% | 3.4% |
| Interquartile 75% (IQ3) | 5.1% | 5.8% |
| Interquartile Range (IQR) | 2.2% | 2.4% |
| Standard Deviation (Sample) | 3.0% | 4.3% |
| Standard Deviation (Population) | 3.0% | 4.2% |
Demographics Similar to Czechs and Latvians by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Czechs are Luxembourger (4.4%, a difference of 0.010%), Danish (4.4%, a difference of 0.040%), Hmong (4.4%, a difference of 0.15%), Swedish (4.4%, a difference of 1.4%), and Chinese (4.5%, a difference of 2.2%). Similarly, the demographic groups most similar to Latvians are Polish (4.7%, a difference of 0.010%), Bulgarian (4.7%, a difference of 0.090%), Croatian (4.7%, a difference of 0.14%), Carpatho Rusyn (4.7%, a difference of 0.16%), and English (4.6%, a difference of 1.0%).
| 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% |