Chickasaw vs Immigrants from South Eastern Asia In Labor Force | Age 25-29
COMPARE
Chickasaw
Immigrants from South Eastern Asia
In Labor Force | Age 25-29
In Labor Force | Age 25-29 Comparison
Chickasaw
Immigrants from South Eastern Asia
81.9%
IN LABOR FORCE | AGE 25-29
0.0/ 100
METRIC RATING
317th/ 347
METRIC RANK
84.4%
IN LABOR FORCE | AGE 25-29
19.5/ 100
METRIC RATING
196th/ 347
METRIC RANK
Chickasaw vs Immigrants from South Eastern Asia In Labor Force | Age 25-29 Correlation Chart
The statistical analysis conducted on geographies consisting of 147,700,460 people shows a poor positive correlation between the proportion of Chickasaw and labor force participation rate among population between the ages 25 and 29 in the United States with a correlation coefficient (R) of 0.189 and weighted average of 81.9%. Similarly, the statistical analysis conducted on geographies consisting of 512,343,229 people shows a mild positive correlation between the proportion of Immigrants from South Eastern Asia and labor force participation rate among population between the ages 25 and 29 in the United States with a correlation coefficient (R) of 0.339 and weighted average of 84.4%, a difference of 3.1%.
In Labor Force | Age 25-29 Correlation Summary
Measurement | Chickasaw | Immigrants from South Eastern Asia |
Minimum | 37.2% | 72.0% |
Maximum | 100.0% | 100.0% |
Range | 62.8% | 28.0% |
Mean | 79.6% | 85.2% |
Median | 79.3% | 84.6% |
Interquartile 25% (IQ1) | 74.0% | 82.9% |
Interquartile 75% (IQ3) | 88.2% | 86.3% |
Interquartile Range (IQR) | 14.2% | 3.4% |
Standard Deviation (Sample) | 13.5% | 4.9% |
Standard Deviation (Population) | 13.4% | 4.9% |
Similar Demographics by In Labor Force | Age 25-29
Demographics Similar to Chickasaw by In Labor Force | Age 25-29
In terms of in labor force | age 25-29, the demographic groups most similar to Chickasaw are Comanche (81.9%, a difference of 0.010%), Mexican (81.9%, a difference of 0.070%), Immigrants from Mexico (82.0%, a difference of 0.16%), Seminole (81.7%, a difference of 0.23%), and Colville (81.6%, a difference of 0.28%).
Demographics | Rating | Rank | In Labor Force | Age 25-29 |
Osage | 0.0 /100 | #310 | Tragic 82.3% |
Alaskan Athabascans | 0.0 /100 | #311 | Tragic 82.3% |
Hispanics or Latinos | 0.0 /100 | #312 | Tragic 82.2% |
Yaqui | 0.0 /100 | #313 | Tragic 82.2% |
Cherokee | 0.0 /100 | #314 | Tragic 82.1% |
Immigrants | Mexico | 0.0 /100 | #315 | Tragic 82.0% |
Mexicans | 0.0 /100 | #316 | Tragic 81.9% |
Chickasaw | 0.0 /100 | #317 | Tragic 81.9% |
Comanche | 0.0 /100 | #318 | Tragic 81.9% |
Seminole | 0.0 /100 | #319 | Tragic 81.7% |
Colville | 0.0 /100 | #320 | Tragic 81.6% |
Shoshone | 0.0 /100 | #321 | Tragic 81.6% |
Kiowa | 0.0 /100 | #322 | Tragic 81.6% |
Alaska Natives | 0.0 /100 | #323 | Tragic 81.6% |
Houma | 0.0 /100 | #324 | Tragic 81.2% |
Demographics Similar to Immigrants from South Eastern Asia by In Labor Force | Age 25-29
In terms of in labor force | age 25-29, the demographic groups most similar to Immigrants from South Eastern Asia are Tlingit-Haida (84.4%, a difference of 0.0%), Immigrants from Israel (84.4%, a difference of 0.010%), Immigrants from Iraq (84.4%, a difference of 0.010%), Immigrants from Germany (84.4%, a difference of 0.010%), and Portuguese (84.4%, a difference of 0.020%).
Demographics | Rating | Rank | In Labor Force | Age 25-29 |
Moroccans | 32.6 /100 | #189 | Fair 84.5% |
Welsh | 31.1 /100 | #190 | Fair 84.5% |
Zimbabweans | 28.7 /100 | #191 | Fair 84.5% |
English | 25.8 /100 | #192 | Fair 84.5% |
South American Indians | 25.0 /100 | #193 | Fair 84.5% |
Portuguese | 21.2 /100 | #194 | Fair 84.4% |
Immigrants | Israel | 20.8 /100 | #195 | Fair 84.4% |
Immigrants | South Eastern Asia | 19.5 /100 | #196 | Poor 84.4% |
Tlingit-Haida | 19.3 /100 | #197 | Poor 84.4% |
Immigrants | Iraq | 19.0 /100 | #198 | Poor 84.4% |
Immigrants | Germany | 18.3 /100 | #199 | Poor 84.4% |
Immigrants | Kazakhstan | 17.5 /100 | #200 | Poor 84.4% |
Laotians | 16.6 /100 | #201 | Poor 84.4% |
Afghans | 15.9 /100 | #202 | Poor 84.4% |
Immigrants | Afghanistan | 15.6 /100 | #203 | Poor 84.4% |