Yakama vs Immigrants from China Unemployment Among Seniors over 65 years
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Yakama
Immigrants from China
Unemployment Among Seniors over 65 years
Unemployment Among Seniors over 65 years Comparison
Yakama
Immigrants from China
6.7%
UNEMPLOYMENT AMONG SENIORS OVER 65 YEARS
0.0/ 100
METRIC RATING
341st/ 347
METRIC RANK
5.2%
UNEMPLOYMENT AMONG SENIORS OVER 65 YEARS
16.9/ 100
METRIC RATING
204th/ 347
METRIC RANK
Yakama vs Immigrants from China Unemployment Among Seniors over 65 years Correlation Chart
The statistical analysis conducted on geographies consisting of 18,777,679 people shows no correlation between the proportion of Yakama and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of 0.012 and weighted average of 6.7%. Similarly, the statistical analysis conducted on geographies consisting of 404,398,266 people shows a weak positive correlation between the proportion of Immigrants from China and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of 0.252 and weighted average of 5.2%, a difference of 28.0%.
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Unemployment Among Seniors over 65 years Correlation Summary
Measurement | Yakama | Immigrants from China |
Minimum | 3.3% | 1.8% |
Maximum | 27.9% | 12.6% |
Range | 24.6% | 10.8% |
Mean | 10.4% | 5.4% |
Median | 7.0% | 5.0% |
Interquartile 25% (IQ1) | 4.6% | 4.3% |
Interquartile 75% (IQ3) | 15.1% | 6.0% |
Interquartile Range (IQR) | 10.5% | 1.7% |
Standard Deviation (Sample) | 7.6% | 2.0% |
Standard Deviation (Population) | 7.3% | 2.0% |
Similar Demographics by Unemployment Among Seniors over 65 years
Demographics Similar to Yakama by Unemployment Among Seniors over 65 years
In terms of unemployment among seniors over 65 years, the demographic groups most similar to Yakama are Navajo (6.7%, a difference of 0.45%), Tlingit-Haida (6.8%, a difference of 1.8%), Ute (6.3%, a difference of 5.4%), Paiute (6.3%, a difference of 5.4%), and Alaskan Athabascan (7.0%, a difference of 5.6%).
Demographics | Rating | Rank | Unemployment Among Seniors over 65 years |
Immigrants | Dominican Republic | 0.0 /100 | #333 | Tragic 6.0% |
Tohono O'odham | 0.0 /100 | #334 | Tragic 6.1% |
Immigrants | Armenia | 0.0 /100 | #335 | Tragic 6.2% |
Pima | 0.0 /100 | #336 | Tragic 6.3% |
Alaska Natives | 0.0 /100 | #337 | Tragic 6.3% |
Immigrants | Azores | 0.0 /100 | #338 | Tragic 6.3% |
Paiute | 0.0 /100 | #339 | Tragic 6.3% |
Ute | 0.0 /100 | #340 | Tragic 6.3% |
Yakama | 0.0 /100 | #341 | Tragic 6.7% |
Navajo | 0.0 /100 | #342 | Tragic 6.7% |
Tlingit-Haida | 0.0 /100 | #343 | Tragic 6.8% |
Alaskan Athabascans | 0.0 /100 | #344 | Tragic 7.0% |
Immigrants | Yemen | 0.0 /100 | #345 | Tragic 8.2% |
Yup'ik | 0.0 /100 | #346 | Tragic 9.1% |
Crow | 0.0 /100 | #347 | Tragic 16.9% |
Demographics Similar to Immigrants from China by Unemployment Among Seniors over 65 years
In terms of unemployment among seniors over 65 years, the demographic groups most similar to Immigrants from China are Subsaharan African (5.2%, a difference of 0.010%), Immigrants from Northern Africa (5.2%, a difference of 0.040%), Laotian (5.2%, a difference of 0.060%), Immigrants from Pakistan (5.2%, a difference of 0.080%), and South American Indian (5.2%, a difference of 0.10%).
Demographics | Rating | Rank | Unemployment Among Seniors over 65 years |
Guamanians/Chamorros | 22.5 /100 | #197 | Fair 5.2% |
Maltese | 19.6 /100 | #198 | Poor 5.2% |
Immigrants | Europe | 19.0 /100 | #199 | Poor 5.2% |
Immigrants | Pakistan | 18.4 /100 | #200 | Poor 5.2% |
Laotians | 18.1 /100 | #201 | Poor 5.2% |
Immigrants | Northern Africa | 17.7 /100 | #202 | Poor 5.2% |
Sub-Saharan Africans | 17.1 /100 | #203 | Poor 5.2% |
Immigrants | China | 16.9 /100 | #204 | Poor 5.2% |
South American Indians | 15.3 /100 | #205 | Poor 5.2% |
German Russians | 14.7 /100 | #206 | Poor 5.2% |
Immigrants | Philippines | 13.2 /100 | #207 | Poor 5.2% |
Uruguayans | 12.6 /100 | #208 | Poor 5.2% |
Alsatians | 11.4 /100 | #209 | Poor 5.2% |
Immigrants | Uzbekistan | 10.7 /100 | #210 | Poor 5.2% |
Africans | 10.4 /100 | #211 | Poor 5.2% |