Summary Stats:

Length: 32015

Missing Count: 0

Mean: 18002.581787

Minimum: 0.000000

1st Quartile: 137.880000

Median: 3146.500000

3rd Quartile: 14274.605000

Maximum: 6331830.630000

Type: Float64

The 99th percentile is $206,143 and a histogram of the data looks like this:

As you can see, the data are largely bunched up in the $0 - $10,000 range. I tried to fit a truncated normal distribution to the data, which looks like this:

But when I do a quantile-quantile plot to check how well the data fit this distribution, it looks like this:

I'm trying to figure out what kind of distribution to use to represent these data and could use some feedback! I was reading about Gamma and Pareto distributions but it seems that those won't work because the mode of my data is 0.....any ideas?