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  1. PO
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    <p>Just to demonstrate that a simpler example seems to work...</p> <p><img src="https://i.stack.imgur.com/cRWp6.png" alt="new jersey"></p> <pre><code>library(ggplot2) library(scales) library(maps) csv.file &lt;- "http://www.census.gov/popest/data/maps/2011/maps-county2011.csv" mydf &lt;- read.csv(csv.file, skip = 4, header = TRUE, check.names = FALSE) mydf &lt;- mydf[, c(1, 2, 5, 10, 11)] # we can drop most columns colnames(mydf) &lt;- c("code", "subregion", "population", "density", "area") mydf$population &lt;- as.numeric(gsub(",", "", mydf$population)) # remove commas mydf$area &lt;- as.numeric(gsub(",", "", mydf$area)) # remove commas nj.pop &lt;- mydf[substr(mydf$code, 1, 3) == '340', ] # new jersey code is 34000 nj.pop &lt;- nj.pop[2:nrow(nj.pop), ] # drop first row i.e. new jersey state itself nj.pop$subregion &lt;- tolower(gsub(" County", "", nj.pop$subregion)) nj.pop$subregion &lt;- gsub("\\.", "", nj.pop$subregion) nj.pop$density_d &lt;- cut(nj.pop$density, breaks = c(0,30,100,300,500,1000,3000,5000,100000), dig.lab = 6, include.lowest = TRUE) nj.pop nj.shp &lt;- map_data("county") # grab... nj.shp &lt;- nj.shp[nj.shp$region == 'new jersey', ] # ...and subset identical(unique(nj.shp2$subregion), unique(nj.pop$subregion)) # should be TRUE nj.both &lt;- merge(nj.pop, nj.shp2, by = "subregion") p &lt;- ggplot(nj.both, aes(long, lat, group = group)) + geom_polygon(aes(fill = density_d), colour = alpha("white", 1/2), size = 0.2) + scale_fill_brewer(palette = "PuRd") + coord_equal() print(p) </code></pre>
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    1. POCounties are scrambled in R
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    1. USSlowLearner
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      1. VTUpMod
    1. COExactly. The single-state examples do work. The issue occurs when multiple states are used. I'll try `sort=FALSE` as you suggested below.
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      1. USAl.Sal
    2. COI feel like the problem might be from the merge. Merging by `subregion` alone with multiple states with repeat county names could be confusing it and assigning the same density to counties with the same names since it doesn't know which region each subregion belongs to. Is there a way to merge with multiple criteria? I suppose using fips data would prevent this, but how do I add fips numbers to `map_data` without running into the same problem?
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