Tlingit-Haida vs Czech Female Poverty Among 18-24 Year Olds
COMPARE
Tlingit-Haida
Czech
Female Poverty Among 18-24 Year Olds
Female Poverty Among 18-24 Year Olds Comparison
Tlingit-Haida
Czechs
22.0%
FEMALE POVERTY AMONG 18-24 YEAR OLDS
0.0/ 100
METRIC RATING
284th/ 347
METRIC RANK
20.4%
FEMALE POVERTY AMONG 18-24 YEAR OLDS
22.3/ 100
METRIC RATING
196th/ 347
METRIC RANK
Tlingit-Haida vs Czech Female Poverty Among 18-24 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 60,396,606 people shows a substantial positive correlation between the proportion of Tlingit-Haida and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.524 and weighted average of 22.0%. Similarly, the statistical analysis conducted on geographies consisting of 464,095,157 people shows a substantial positive correlation between the proportion of Czechs and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.511 and weighted average of 20.4%, a difference of 7.9%.
Female Poverty Among 18-24 Year Olds Correlation Summary
Measurement | Tlingit-Haida | Czech |
Minimum | 1.3% | 3.4% |
Maximum | 72.7% | 100.0% |
Range | 71.4% | 96.6% |
Mean | 23.2% | 33.8% |
Median | 21.4% | 25.4% |
Interquartile 25% (IQ1) | 15.6% | 19.5% |
Interquartile 75% (IQ3) | 28.8% | 38.8% |
Interquartile Range (IQR) | 13.2% | 19.3% |
Standard Deviation (Sample) | 14.2% | 24.6% |
Standard Deviation (Population) | 13.9% | 24.4% |
Similar Demographics by Female Poverty Among 18-24 Year Olds
Demographics Similar to Tlingit-Haida by Female Poverty Among 18-24 Year Olds
In terms of female poverty among 18-24 year olds, the demographic groups most similar to Tlingit-Haida are Subsaharan African (22.0%, a difference of 0.010%), Ottawa (22.0%, a difference of 0.12%), Bermudan (21.9%, a difference of 0.31%), Ugandan (22.1%, a difference of 0.31%), and Immigrants from Middle Africa (22.1%, a difference of 0.32%).
Demographics | Rating | Rank | Female Poverty Among 18-24 Year Olds |
Immigrants | Switzerland | 0.1 /100 | #277 | Tragic 21.8% |
Yaqui | 0.1 /100 | #278 | Tragic 21.9% |
Spanish Americans | 0.1 /100 | #279 | Tragic 21.9% |
Immigrants | Dominica | 0.1 /100 | #280 | Tragic 21.9% |
Immigrants | Dominican Republic | 0.1 /100 | #281 | Tragic 21.9% |
Bermudans | 0.1 /100 | #282 | Tragic 21.9% |
Sub-Saharan Africans | 0.0 /100 | #283 | Tragic 22.0% |
Tlingit-Haida | 0.0 /100 | #284 | Tragic 22.0% |
Ottawa | 0.0 /100 | #285 | Tragic 22.0% |
Ugandans | 0.0 /100 | #286 | Tragic 22.1% |
Immigrants | Middle Africa | 0.0 /100 | #287 | Tragic 22.1% |
Dominicans | 0.0 /100 | #288 | Tragic 22.3% |
French American Indians | 0.0 /100 | #289 | Tragic 22.3% |
Immigrants | Senegal | 0.0 /100 | #290 | Tragic 22.4% |
Bangladeshis | 0.0 /100 | #291 | Tragic 22.5% |
Demographics Similar to Czechs by Female Poverty Among 18-24 Year Olds
In terms of female poverty among 18-24 year olds, the demographic groups most similar to Czechs are Immigrants from Latvia (20.4%, a difference of 0.050%), Mexican American Indian (20.4%, a difference of 0.060%), Nigerian (20.4%, a difference of 0.070%), Zimbabwean (20.4%, a difference of 0.090%), and Immigrants from Spain (20.4%, a difference of 0.12%).
Demographics | Rating | Rank | Female Poverty Among 18-24 Year Olds |
Immigrants | Germany | 34.0 /100 | #189 | Fair 20.3% |
Immigrants | Western Asia | 29.3 /100 | #190 | Fair 20.3% |
Moroccans | 25.8 /100 | #191 | Fair 20.4% |
Immigrants | Israel | 24.4 /100 | #192 | Fair 20.4% |
Nigerians | 23.4 /100 | #193 | Fair 20.4% |
Mexican American Indians | 23.2 /100 | #194 | Fair 20.4% |
Immigrants | Latvia | 23.0 /100 | #195 | Fair 20.4% |
Czechs | 22.3 /100 | #196 | Fair 20.4% |
Zimbabweans | 21.0 /100 | #197 | Fair 20.4% |
Immigrants | Spain | 20.7 /100 | #198 | Fair 20.4% |
Germans | 20.6 /100 | #199 | Fair 20.4% |
Europeans | 19.9 /100 | #200 | Poor 20.4% |
Mexicans | 18.3 /100 | #201 | Poor 20.5% |
Immigrants | Turkey | 17.7 /100 | #202 | Poor 20.5% |
Immigrants | Malaysia | 17.2 /100 | #203 | Poor 20.5% |