Hello,

I am working on analysis of American Community Survey (ACS) data for local city government. One portion of the analysis involves exploring potential childhood hunger issue. I have 3 layers:

- Households receiving food stamps/SNAP (Census Block Group)
- Median Household Income (Census Block Group)
- Number of children under 18 years (Census Block Group)

Using these 3 layers together, what tools can I use to determine which Census Block Groups are of the the highest priority concerning childhood hunger? I figure this is some kind of overlay/statistical analysis, but not sure which ones will work for my needs. Thank you for any help you can provide.

Andy

Lots of suggestions... but a caution,

Although tools will run on data, there are underlying assumptions that the tools don't check.

For instance, correlation and regression...

What if you find out what the assumption is, then perform an analysis of the distribution of the data (descriptive stats and tests of the distribution).

This tome is just a cautionary tale about being swayed by the beauty and speed of a 'tool' or 'method of analysis' without accepting the fact that the results may be completely spurious because you didn't do your 'homework'

I have seen too many term projects that might even have been captured in books like this....

Spurious Correlations

Sadly some of the examples ring too true.... proceed with caution in your analysis.... the 'pile' is deep enough