Yesterday, we looked at the relationship between drug use and economic patterns. We saw that drug use was associated with both higher levels of state economic output as well as higher levels of unemployment.

Today, I turn to the relationships between drug use and economic class. My colleague Charlotta Mellander charted the relationships between drug use and the percentage of a state’s economy that is made up of two classes: the creative class – that is, people who work in knowledge-based, artistic, and professional occupations; and the working class – those who work in production, transportation, and construction jobs.

While the associations between drug use overall are weak, the patterns for marijuana and cocaine are significant. Take the creative class: Both marijuana and cocaine use are positively and significantly related to states with higher concentrations of the creative class.

Correlation coefficient: 39**

Correlation coefficient: 36**

Now look at the results for the working class, where the pattern is reversed. Both marijuana and cocaine are negatively and significantly related to the concentration of working class jobs in state.

Correlation coefficient: -.35**

Correlation coefficient: -.36**

Note: * indicates statistical significance at the .05 level; ** indicates significance at the .01 level.

Yesterday, I looked at the relationship between drug use and politics. We saw that states that voted for Obama had higher levels of marijuana and cocaine use than those that voted for McCain. But perhaps economic factors lie behind those political trends. We know that Obama drew from less affluent minority voters and also from more well-educated, creative class voters. Perhaps the associations between drug use and voting patterns reflect deeper economic patterns.

The conventional wisdom is that economic hardship is a key factor in drug use. Anyone who watches crime shows like The Wire gets this picture really fast.

To get a first approximation of this, we examined the relationship between drug use and unemployment. Not surprisingly, the use of illegal drugs is correlated with state unemployment (.31). And the correlations are even a bit higher when we look at marijuana (.36) and cocaine use (.36).

Correlation coefficient: 0.31*

But things get more interesting when we look at the relationship between drug use and economic development. While there is no relationship between economic output and illegal drug use overall, there is a significant relationship between state economic output and marijuana, and an even stronger correlation between economic output and cocaine use, as the charts below show.

Correlation coefficient: 0.31*

Correlation coefficient:  0.61**

But there’s more to the story. Tomorrow, I turn to the relationship between drug use and the class structure of state economies.

Note: * indicates statistical significance at the .05 level; ** indicates significance at the .01 level.