compact, proportional PA General Assem map

I am writing as a Pennsylvania resident to ask that you enact good, fair maps for the PA General Assembly. I agree with principles for redistricting advocated by non-partisan groups such as Fair Districts PA: *Roughly equal population (variation no more than 5%) *Compact and reasonably shaped districts. *Somewhat proportional to statewide partisan split (52%D / 48%R), but competitive maps, i.e. mathematically predicted to yield a slight majority for Democrats, but with plenty of competitive seats so that either party could win a majority of seats with good candidates and good turn out. *Minimize the splitting of municipalities, townships, counties, etc. *Maximize the number of majority Black and majority Latino districts. I have drawn the following map that not only follows all of these principles, but it also minimizes pitting incumbents against one another. In the past, incumbents have sometimes been pitted against other incumbents as a way for map drawers to disadvantage their political enemies. And I know members of the Redistricting Commission wish to avoid the appearance of doing this. While there are instances in my map where incumbents are drawn into a new district with another incumbent (because this is unavoidable and necessary to account for population shifts and to draw maps that follow the important principles of good redistricting - roughly equal district populations, compactness, minimal splitting, minority representation and proportional partisan representation), I carefully avoided pitting any incumbents against the 16 House Democratic and Republican party leaders, the 24 members of the Government Committee, the members of the Allegheny County delegation, all but two of the Philadelphia delegation, and many, many other incumbents. PA House: I am a part of the Citizen Mapping Corps of the Princeton Gerrymandering Project. Please let me know if you have any questions about this map or other maps, and if I may be of service in any way during the redistricting process. Thank you for your consideration, and thank you for your service. Regards, Kris Rust Pittsburgh, PA

Quantitative Analysis

No Data Available.