Slavic vs Hungarian Female Unemployment
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Slavic
Hungarian
Female Unemployment
Female Unemployment Comparison
Slavs
Hungarians
4.9%
FEMALE UNEMPLOYMENT
99.1/ 100
METRIC RATING
52nd/ 347
METRIC RANK
4.9%
FEMALE UNEMPLOYMENT
98.3/ 100
METRIC RATING
66th/ 347
METRIC RANK
Slavic vs Hungarian Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 269,881,664 people shows a mild positive correlation between the proportion of Slavs and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.390 and weighted average of 4.9%. Similarly, the statistical analysis conducted on geographies consisting of 480,650,444 people shows a moderate positive correlation between the proportion of Hungarians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.444 and weighted average of 4.9%, a difference of 0.99%.
Female Unemployment Correlation Summary
Measurement | Slavic | Hungarian |
Minimum | 2.3% | 3.5% |
Maximum | 40.0% | 14.1% |
Range | 37.7% | 10.6% |
Mean | 10.1% | 5.8% |
Median | 5.7% | 4.8% |
Interquartile 25% (IQ1) | 4.3% | 4.6% |
Interquartile 75% (IQ3) | 12.3% | 6.4% |
Interquartile Range (IQR) | 7.9% | 1.9% |
Standard Deviation (Sample) | 9.3% | 2.2% |
Standard Deviation (Population) | 9.2% | 2.2% |
Demographics Similar to Slavs and Hungarians by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Slavs are Cambodian (4.9%, a difference of 0.020%), White/Caucasian (4.9%, a difference of 0.030%), Immigrants from Cuba (4.9%, a difference of 0.040%), Immigrants from Zimbabwe (4.9%, a difference of 0.090%), and Immigrants from Moldova (4.9%, a difference of 0.10%). Similarly, the demographic groups most similar to Hungarians are Cuban (4.9%, a difference of 0.0%), Tlingit-Haida (4.9%, a difference of 0.010%), Immigrants from Ireland (4.9%, a difference of 0.020%), Immigrants from North America (4.9%, a difference of 0.030%), and Immigrants from Belgium (4.9%, a difference of 0.22%).
Demographics | Rating | Rank | Female Unemployment |
Australians | 99.2 /100 | #49 | Exceptional 4.9% |
Immigrants | Cuba | 99.1 /100 | #50 | Exceptional 4.9% |
Cambodians | 99.1 /100 | #51 | Exceptional 4.9% |
Slavs | 99.1 /100 | #52 | Exceptional 4.9% |
Whites/Caucasians | 99.0 /100 | #53 | Exceptional 4.9% |
Immigrants | Zimbabwe | 99.0 /100 | #54 | Exceptional 4.9% |
Immigrants | Moldova | 99.0 /100 | #55 | Exceptional 4.9% |
Serbians | 99.0 /100 | #56 | Exceptional 4.9% |
Icelanders | 98.8 /100 | #57 | Exceptional 4.9% |
Immigrants | Lithuania | 98.8 /100 | #58 | Exceptional 4.9% |
Bhutanese | 98.7 /100 | #59 | Exceptional 4.9% |
Immigrants | Scotland | 98.6 /100 | #60 | Exceptional 4.9% |
Immigrants | Canada | 98.6 /100 | #61 | Exceptional 4.9% |
Immigrants | Nepal | 98.6 /100 | #62 | Exceptional 4.9% |
Immigrants | Belgium | 98.5 /100 | #63 | Exceptional 4.9% |
Celtics | 98.5 /100 | #64 | Exceptional 4.9% |
Immigrants | North America | 98.3 /100 | #65 | Exceptional 4.9% |
Hungarians | 98.3 /100 | #66 | Exceptional 4.9% |
Cubans | 98.3 /100 | #67 | Exceptional 4.9% |
Tlingit-Haida | 98.3 /100 | #68 | Exceptional 4.9% |
Immigrants | Ireland | 98.2 /100 | #69 | Exceptional 4.9% |