Conclusion

Summary

• Overall, Colorado offers greater diversity and risk in its economy and housing market, along with better healthcare options, making it suitable for those seeking a dynamic and varied environment. In contrast, Utah provides a more stable economy and housing market, ideal for those prioritizing cost efficiency and a steady lifestyle. 

  • In "Economic and Employment Factors," we find that In Colorado, high labor force zip codes have significantly higher poverty rate than Utah, however, in low labor force areas, the zip code clusters resemble each other in poverty and unemployment factors. In investigation of income, using measurable attributes like labor force and rent to predict median income is generally reliable at all income classes, with middle being slightly less reliable than the rest, suggests that one would likely see more economic characteristic variations in middle income zip codes Looking specifically into income to housing cost, we found that in general, the data points appear more linear than cluster, with Colorado’s income level less affected by housing prices compared to Utah on a zip code level. Colorado has several outlier zip codes that tend to have their own classification, likely due to their fame for tourism, which is not fully accounted for in the data I used. 

  • In "Cost of Living and Housing and Demographics and Migration Trends," we find that Utah's housing prices are tightly centered around a median, while Colorado's prices are far more spread out with sharper extremes. The key factors influencing home prices are population change, the number of bedrooms and bathrooms, median household income, and average home size. Migration patterns show that people are moving into areas with more available housing, larger homes, and younger populations. High migration totals are strongly tied to these basic neighborhood characteristics. The results suggest that Colorado offers more variation and risk in housing prices, while Utah provides a steadier, more predictable market. Migration is largely driven by straightforward factors like supply and demographics rather than more complex economic or policy variables. To sum up, the data shows strong differences in cost of living and housing between Colorado and Utah, with Colorado offering greater extremes and Utah offering more stability. 

  • In "Quality of Life and Environment Trends," we find that the medical environment is considered to be better in Colorado than in Utah. This is because there are more hospitals in Colorado, while the uninsured rate is higher in Utah. For this reason, people who want better healthcare should choose Colorado over Utah. Also, we find that the natural environment is considered to be comparable between the two states. This is because there are no significant differences in the levels of ozone, PM2.5, and PM10 in the air, and the number of national parks within the states is also similar. For this reason, prospective migrants to both states do not need to worry about differences in the natural environment.

  • In "State Policies and Taxation Trends," we find that Tax rates are seen as having their pros and cons in both states. This is because income tax and property tax are slightly higher in Utah than in Colorado, while sales tax is slightly higher in Colorado than in Utah. For this reason, those wishing to relocate to either state will need to decide which state they prefer based on their lifestyle.

• In short:

  • Choose Colorado if you seek a challenging and diverse environment.

  • Choose Utah if you prefer stability and cost efficiency.

Future Work

• Overall, while this analysis provides important initial insights, there remains room for improvement in several areas: the depth and breadth of data, incorporation of time-series perspectives, diversification of analyzed indicators, geographic precision, and advancement of modeling techniques. 

  • In "Economic and Employment Factors," there is a problem/limitation is that it is difficult to have a comprehensive and unbiased analysis given the massive pool of data available and the culture-specific behavioral practices that may affect the subject of study but are not recorded, all the data used only provide a superficial observation of the general economic scene in Colorado and Utah. There is much more to be discovered with new additions of dataset and machine learning models. In the future, more analysis and modeling can be done with the addition of data and ML models.

  • In "Cost of Living and Housing and Demographics and Migration Trends," future work should include building time-series models to capture trends over multiple years, integrating broader economic indicators like employment rates and mortgage conditions, and refining affordability analysis by comparing housing costs directly to local incomes. Expanding the geographic scope beyond ZIP codes and including additional real-world factors like climate, school quality, and public infrastructure would also strengthen the predictive power of the models and offer even more practical insights for people considering a move. 

  • In "Quality of Life and Environment Trends," with regard to the medical environment, it is necessary to compare the medical standards and medical expenses of both states. In addition, with regard to the natural environment, it is necessary to analyze the climate and pollen, among other factors.

  • In "State Policies and Taxation Trends," it appears that analysis of taxes not covered in this analysis (e.g., corporate tax and vehicle registration tax) is necessary.

• Once these issues are resolved, it will be possible to provide more useful information to those considering moving to Colorado or Utah.