Czech Unemployment Among Women with Children Under 6 years
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Unemployment Among Women with Children Under 6 years
Czech Unemployment Among Women with Children Under 6 years
7.6%
UNEMPLOYMENT | WOMEN W/ CHILDREN < 6
59.8/ 100
METRIC RATING
170th/ 347
METRIC RANK
Czech Unemployment Among Women with Children Under 6 years Correlation Chart
The statistical analysis conducted on geographies consisting of 337,488,304 people shows a substantial positive correlation between the proportion of Czechs and unemployment rate among women with children under the age of 6 in the United States with a correlation coefficient (R) of 0.547 and weighted average of 7.6%. On average, for every 1% (one percent) increase in Czechs within a typical geography, there is an increase of 1.7% in unemployment rate among women with children under the age of 6.

It is essential to understand that the correlation between the percentage of Czechs and unemployment rate among women with children under the age of 6 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Czechs influences an upward or downward trend in the level of unemployment rate among women with children under the age of 6 within an area, or if Czechs simply ended up residing in those areas with higher or lower levels of unemployment rate among women with children under the age of 6 due to other factors.
Demographics Similar to Czechs by Unemployment Among Women with Children Under 6 years
In terms of unemployment among women with children under 6 years, the demographic groups most similar to Czechs are Immigrants from Grenada (7.6%, a difference of 0.060%), Immigrants from Scotland (7.6%, a difference of 0.11%), Immigrants from Canada (7.6%, a difference of 0.12%), Immigrants from North America (7.6%, a difference of 0.14%), and Kenyan (7.6%, a difference of 0.19%).
Demographics | Rating | Rank | Unemployment Among Women with Children Under 6 years |
British | 66.3 /100 | #163 | Good 7.6% |
Ugandans | 65.8 /100 | #164 | Good 7.6% |
Immigrants from South America | 65.6 /100 | #165 | Good 7.6% |
Belgians | 63.5 /100 | #166 | Good 7.6% |
Kenyans | 62.5 /100 | #167 | Good 7.6% |
Immigrants from Canada | 61.6 /100 | #168 | Good 7.6% |
Immigrants from Scotland | 61.3 /100 | #169 | Good 7.6% |
Czechs | 59.8 /100 | #170 | Average 7.6% |
Immigrants from Grenada | 59.0 /100 | #171 | Average 7.6% |
Immigrants from North America | 57.7 /100 | #172 | Average 7.6% |
Cree | 51.6 /100 | #173 | Average 7.6% |
Immigrants from Laos | 50.0 /100 | #174 | Average 7.6% |
Panamanians | 49.6 /100 | #175 | Average 7.6% |
Puget Sound Salish | 47.7 /100 | #176 | Average 7.7% |
Austrians | 46.0 /100 | #177 | Average 7.7% |
Czech Unemployment Among Women with Children Under 6 years Correlation Summary
Measurement | Czech Data | Unemployment Among Women with Children Under 6 years Data |
Minimum | 0.14% | 0.70% |
Maximum | 47.9% | 100.0% |
Range | 47.8% | 99.3% |
Mean | 9.3% | 25.1% |
Median | 7.3% | 10.7% |
Interquartile 25% (IQ1) | 3.6% | 7.4% |
Interquartile 75% (IQ3) | 11.5% | 38.8% |
Interquartile Range (IQR) | 7.9% | 31.4% |
Standard Deviation (Sample) | 8.6% | 26.3% |
Standard Deviation (Population) | 8.5% | 26.1% |
Correlation Details
Czech Percentile | Sample Size | Unemployment Among Women with Children Under 6 years |
[ 0.0% - 0.5% ] 0.14% | 208,914,792 | 8.1% |
[ 0.0% - 0.5% ] 0.43% | 80,122,860 | 7.5% |
[ 0.5% - 1.0% ] 0.75% | 23,430,921 | 7.1% |
[ 1.0% - 1.5% ] 1.07% | 10,463,434 | 6.6% |
[ 1.0% - 1.5% ] 1.37% | 5,289,426 | 6.4% |
[ 1.5% - 2.0% ] 1.70% | 3,189,434 | 6.0% |
[ 1.5% - 2.0% ] 2.00% | 1,869,436 | 6.4% |
[ 2.0% - 2.5% ] 2.31% | 787,723 | 8.9% |
[ 2.5% - 3.0% ] 2.60% | 563,008 | 7.4% |
[ 2.5% - 3.0% ] 2.92% | 487,685 | 11.5% |
[ 3.0% - 3.5% ] 3.24% | 706,833 | 6.4% |
[ 3.5% - 4.0% ] 3.61% | 131,330 | 10.7% |
[ 3.5% - 4.0% ] 3.90% | 159,928 | 10.4% |
[ 4.0% - 4.5% ] 4.11% | 375,372 | 7.0% |
[ 4.0% - 4.5% ] 4.49% | 397,358 | 6.4% |
[ 4.5% - 5.0% ] 4.75% | 132,838 | 8.5% |
[ 5.0% - 5.5% ] 5.05% | 132,934 | 6.1% |
[ 5.0% - 5.5% ] 5.31% | 73,240 | 6.6% |
[ 5.5% - 6.0% ] 5.66% | 18,602 | 22.7% |
[ 6.0% - 6.5% ] 6.03% | 5,605 | 63.0% |
[ 6.0% - 6.5% ] 6.26% | 9,133 | 22.4% |
[ 6.5% - 7.0% ] 6.65% | 65,881 | 9.3% |
[ 6.5% - 7.0% ] 6.88% | 19,063 | 42.4% |
[ 7.0% - 7.5% ] 7.34% | 33,846 | 15.9% |
[ 7.5% - 8.0% ] 7.55% | 3,366 | 56.7% |
[ 7.5% - 8.0% ] 7.80% | 6,542 | 8.2% |
[ 8.0% - 8.5% ] 8.21% | 24,636 | 9.2% |
[ 8.0% - 8.5% ] 8.48% | 22,299 | 12.7% |
[ 8.5% - 9.0% ] 8.72% | 2,592 | 30.0% |
[ 9.0% - 9.5% ] 9.14% | 2,101 | 48.8% |
[ 9.5% - 10.0% ] 9.52% | 63 | 100.0% |
[ 9.5% - 10.0% ] 9.64% | 332 | 40.0% |
[ 10.0% - 10.5% ] 10.37% | 2,739 | 19.6% |
[ 10.5% - 11.0% ] 10.92% | 18,466 | 10.6% |
[ 11.0% - 11.5% ] 11.29% | 3,454 | 20.8% |
[ 11.5% - 12.0% ] 11.52% | 1,615 | 38.8% |
[ 14.0% - 14.5% ] 14.09% | 298 | 57.1% |
[ 14.0% - 14.5% ] 14.47% | 2,729 | 58.6% |
[ 15.0% - 15.5% ] 15.19% | 777 | 10.0% |
[ 16.0% - 16.5% ] 16.06% | 965 | 10.0% |
[ 16.5% - 17.0% ] 16.96% | 112 | 60.0% |
[ 17.5% - 18.0% ] 17.93% | 1,355 | 23.9% |
[ 18.0% - 18.5% ] 18.46% | 1,235 | 100.0% |
[ 21.0% - 21.5% ] 21.19% | 1,845 | 0.70% |
[ 23.5% - 24.0% ] 23.55% | 7,911 | 17.9% |
[ 27.5% - 28.0% ] 27.72% | 2,071 | 33.3% |
[ 47.5% - 48.0% ] 47.90% | 119 | 100.0% |