MA-Sen: Jeff’s Election Night Projection Model

I’m as freaked out over Massachusetts as anyone – and I might be plenty angry/despondent/confused/hungover tomorrow morning.

But in the meantime, I’ve been working on a crude projection model using, in part, the “baseline” idea that Crisitunity and DavidNYC have made a part of SSP Election Night Tradition.

The model, as inputs, takes partial results from towns that have reported, and outputs a whole slew of numbers comparing the current situation to the “baseline” numbers.

Explanations below the flip.

So here’s the front end of the model:

http://spreadsheets.google.com…

You’ll see a few things:

  • How Coakley and Brown are currently doing.

  • How Obama was doing in 2008 with the same towns and parts of towns reporting.

  • How a 2008 “baseline” Democrat on target to win by 1 vote would be doing.

  • How Kerry was doing in 1996 against Bill Weld with the same towns and parts of towns reporting.

  • How a 1996 “baseline” Democrat would be doing.

You’ll also see comparisons between Coakley’s performance and those of Obama, Kerry, and the two “baseline” Democrats.

Perhaps most significantly, you’ll see the “2010 Projection using 2008” line.

The model compares relative turnout between 2010 and 2008, and the relative performances of Coakley and Obama to project results from towns that have not yet reported.

The “2010 Projection using 1996” line does the same, except with 1996 data.

I’m not claiming this model is perfect. In fact, it’s pretty damn bad. I can think of a few glaring weaknesses:

  • The fundamental problem of the ‘baseline’ idea: it assumes that every town will swing uniformly.

  • Disparate turnout: this model compares turnout in aggregate, instead of at the town level. This may lead to an overestimation of turnout in areas with relatively low turnout (compared to 2008 and 1996) and the reverse in areas with relatively high turnout. This may potentially bias the projections in Coakley’s favor.

  • Assumption of town uniformity: the model assumes that each town votes uniformly the same way, but…Jamaica Plain and Southie are not going to vote the same way, very simply. If a relatively Brown-friendly area of a town reports first, this will bias the projection in his favor. The reverse is true if a Coakley-friendly area reports first.

Incidentally, here are the blood and guts of the model: http://spreadsheets.google.com…

Update: In columns AS, AT, BB, and BC, you can see baselines for every town for both 2008 and 1996.

I threw in some junk results to test it, and so far I didn’t detect any coding errors. I don’t pretend that I’m better than the Associated Press – but I just want to have an idea of where we are at each point of the results phase.

Hopefully I’ll get a chance to keep this updated as results stream in tonight.

Lastly, if you live in Massachusetts, are reading this, and you haven’t voted (assuming you’re a citizen, not a convicted felon, etc..), what the hell’s wrong with you?!

Here’s hoping Coakley pulls this off.

No Sleep till Brooklyn: Why Bill Thompson isn’t Mayor(-elect)

A few threads back, there was a lively discussion about voting patterns in Brooklyn, and how that impacted the 2009 mayoral race.

Thanks to David who worked his lawyerly Freedom-of-Information magic, we got some precinct results to look at.

I compared Thompson’s performance to Obama’s performance, and the results are pretty stark as to where the areas of relative strength are for each candidate.

So the baselines first:

Obama beat McCain by 59.27%; he earned 79.34% to McCain’s 20.07%. 2,613,944 total votes were cast.

Thompson lost to Bloomberg by 4.38%; he earned 46.33% to Bloombo’s 50.71%. 1,154,505 votes were cast, meaning turnout was 44% of 2008 turnout.

Maps (what else do I post here?) and more over the flip.

So here are Obama and Thompson’s absolute performances in the city.



Obama’s performance we already knew about, but a few striking aspects of Thompson’s performance:

  • Upper East Siders lurve them some Bloombo.

  • Whites in the Bronx voted for Bloomberg.

  • Hispanics voted mostly for Thompson (though not to the levels they voted for Freddy Ferrer, I would posit).

  • Blacks stayed strongly loyal to Thompson, with slight drop-offs visible in Brooklyn and East Queens.

  • Staten Island stayed Staten Island.

More interestingly, here is a comparison of Obama and Thompson’s absolute performances. A more intense blue indicates a stronger Obama performance; a deeper red indicates a stronger Thompson performance.

Obviously, most of the map is some shade of blue, since Obama’s margin was 63.65% greater than Thompson’s. Even given this, there are still two visible clusters of red in Brooklyn: Williamsburg and Borough Park. Thompson still lost these precincts by a decent margin, but he improved over Obama despite the tide moving 64% in the other direction. I took this as evidence of the Hasidic Jewish community’s growing dislike of Bloomberg, which had been mentioned a few times before the election.

On the flipside, as you would expect, Manhattan and Brooklyn Heights are home to the Obama-Bloomberg voters, especially on the Upper East and West Sides, in Midtown, and down in the Financial District.

The lighter shades of blue are in East Queens and Central Brooklyn – mostly majority-black precincts that went strongly for both.

Another interesting cluster of these, though, is on the South Shore of Staten Island; Thompson’s performance didn’t fall all that much off from Obama’s (admittedly already weak) performance there. It seems there, though, that the voters are more reflexively Republican than those in Southern Brooklyn, where Obama seemed to be a particularly bad fit. (backup evidence: Stephen Cymbrowitz and Carl Kruger are elected from those areas in Brooklyn. Southern Staten Island elects two Republicans to the Assembly/Senate, Lou Tobacco and Andrew Lanza).

Alternatively, this can be shown in graph form. Obama’s margin on the x-axis; Thompson’s on the y-axis.



Now any monkey could have told you generally a stronger Obama performance is correlated with a stronger Thompson performance, but the exceptions to that general rule are evident here as well. The large cluster of green on the bottom right are those previously mentioned Manhattan precincts, while the dispersed red dots towards the middle and lower left are the Brooklyn precincts in which Thompson actually improved. (Incidentally, yellow represents Staten Island, orange for the Bronx, and blue for Queens). The bright green line is the even-performance line.

Now two more maps of interest, each candidate’s performance relative to their citywide cumulative total (Obama first, then Thompson).



Obama did well throughout the city, a strong Obama performance was the norm. You don’t see many places darker than light blue, simply because you can’t get more than 100% of the vote! Where Obama underperformed, he really underperformed. You see this in Suburban Queens and also Middle Village/Maspeth, and of course Southern Brooklyn and Staten Island.

Thompson’s performance really varied much more. He overperformed in many places, and underperformed in many places as well; these deviations are of much more equal magnitude. Again, as we’ve realized, Thompson’s weakest area was the Upper East Side.

So all this poses the question, what happened?

Well, in three words, Thompson’s turnout problem.

Conventional wisdom dictates that minorities (who are actually a majority in NYC) turn out less in general. While this may or may not be true, I normalized and considered 2009 turnout as a percentage of 2008 turnout.

The results, first at the precinct level. The same color codes apply as before for borough. Turnout as a percentage of 2008 turnout is expressed on the x-axis; the Thompson-Bloomberg margin on the y-axis. (Turnout dropped most in the Bronx, in case you’re wondering.)



You see a general effect of center left to lower right, suggesting stronger Bloomberg performances being correlated with greater turnout. This effect is even more pronounced when we consolidate to an assembly district level:



It’s not pretty. For you stats geeks out there, the correlation on that bad boy is -0.77. Ouch.

Incidentally, that one AD with the lowest drop-off? None other than Dov Hikind’s 48th AD. Turnout there was lower there in 2008, but those that voted in 2008 were most likely to have voted again in 2009.

As a parting thought, take solace (or anguish) in this: if turnout had dropped to the 44% figure I mentioned at the start equally across the city, Thompson would have won, 49.16% to 48.00%.

Having arrived at Brooklyn, I’m going to sleep. I realize I owe you a proposed set of New York Senate districts. I just need to write the diary. I’ll get around to it…eventually.

The New York Senate Part 2: 43? Democrats

As promised a few days ago, I’d post the second part of my proposed New York Senate map. So without further ado, here it is.

I also tried to have the numbers make more sense. The goal was to make the city entirely Democratic (except Staten Island), then to get as many districts out of upstate Democratic centers as possible.

I may have been a tad too aggressive upstate, with three Buffalo Dems, two Rochester Dems, two Syracuse Dems, two Albany Dems, and one Ithaca-Binghamton Dem (in addition to Aubertine).

I also tried to stick to one man-one vote and keep the deviations down, but I couldn’t resist underpacking some Democratic districts and overpacking Republican districts..

Why Presidential Toplines Don’t Mean Everything: The New York Senate

As long as I’ve been interested in politics, I’ve never understood how the NYS Senate was controlled by Republicans for so long, especially in a state as Democratic as New York.

So the purpose of my diary was two-fold: to understand the situation as it is now (our tenuous 2-seat majority), and to look at what a potential redistricting would look like that would cement Democratic control (for the next time…I don’t feel like formatting too much html.)

I started by analyzing Obama’s performance in each Senate district – after Pres-by-CD and the NY political data in Dave’s app, this wasn’t too difficult. Just follow me over the flip…

Here’s the massive table with results from Pres-by-SD.

Senator Residence Pop Black% Hisp% Asian% Obama McCain Total Obama% McCain%
1 Kenneth LaValle Port Jefferson 305,989 5.65% 7.71% 1.45% 85,057 74,138 159,269 53.40% 46.55%
2 John J. Flanagan East Northport 305,990 1.79% 4.68% 4.21% 73,525 77,560 151,625 48.49% 51.15%
3 Brian X. Foley Blue Point 305,989 7.95% 16.96% 1.99% 69,082 56,640 126,318 54.69% 44.84%
4 Owen H. Johnson West Babylon 305,991 9.78% 12.99% 1.88% 67,460 59,076 127,606 52.87% 46.30%
5 Carl Marcellino Syosset 305,990 3.42% 7.75% 4.92% 80,451 72,539 153,670 52.35% 47.20%
6 Kemp Hannon Garden City 305,993 16.66% 11.91% 3.24% 76,903 60,223 138,096 55.69% 43.61%
7 Craig Johnson Port Washington 305,991 8.80% 9.91% 8.47% 78,686 61,958 141,659 55.55% 43.74%
8 Charles Fuschillo Merrick 305,990 15.92% 11.20% 1.96% 80,004 63,438 144,437 55.39% 43.92%
9 Dean Skelos Rockville Centre 305,990 6.25% 9.29% 3.60% 77,566 70,225 148,869 52.10% 47.17%
10 Shirley Huntley Jamaica 318,481 54.20% 15.06% 8.00% 94,634 10,726 105,714 89.52% 10.15%
11 Frank Padavan Bellerose 318,482 6.27% 14.14% 25.93% 63,743 37,329 101,850 62.59% 36.65%
12 George Onorato Astoria 318,484 6.01% 33.07% 16.75% 69,037 17,247 87,177 79.19% 19.78%
13 Hiram Monserrate Jackson Heights 318,484 10.63% 55.89% 19.37% 51,451 10,827 62,586 82.21% 17.30%
14 Malcolm Smith St. Albans 318,481 54.54% 15.40% 7.07% 91,373 16,100 107,878 84.70% 14.92%
15 Joseph Addabbo, Jr. Ozone Park 318,484 3.28% 26.14% 11.77% 51,596 32,016 84,227 61.26% 38.01%
16 Toby Ann Stavisky Flushing 318,483 5.17% 15.07% 33.35% 58,858 30,976 90,539 65.01% 34.21%
17 Martin Malave Dilan Bushwick 311,260 22.03% 56.36% 4.36% 79,343 8,342 88,205 89.95% 9.46%
18 Velmanette Montgomery Boerum Hill 311,260 59.93% 24.45% 2.53% 116,578 3,794 120,895 96.43% 3.14%
19 John Sampson Canarsie 311,258 72.29% 15.14% 2.05% 96,181 6,859 103,181 93.22% 6.65%
20 Eric Adams Crown Heights 311,259 60.67% 14.96% 4.36% 100,485 8,865 109,880 91.45% 8.07%
21 Kevin Parker Flatbush 311,259 59.29% 10.53% 5.11% 77,979 14,333 92,623 84.19% 15.47%
22 Martin Golden Bay Ridge 311,260 0.75% 8.52% 16.34% 40,627 41,851 83,124 48.88% 50.35%
23 Diane Savino North Shore 311,259 17.56% 24.10% 14.04% 53,004 25,977 79,520 66.65% 32.67%
24 Andrew Lanza Great Kills 311,258 1.88% 7.26% 5.69% 47,334 74,699 122,819 38.54% 60.82%
25 Dan Squadron Brooklyn Heights 311,258 7.58% 19.53% 23.43% 100,660 20,183 121,874 82.59% 16.56%
26 Liz Krueger Upper East Side 311,260 2.11% 5.19% 8.32% 113,824 35,817 150,786 75.49% 23.75%
27 Carl Kruger Sheepshead Bay 311,259 5.62% 8.10% 11.49% 36,870 45,244 82,638 44.62% 54.75%
28 Jose M. Serrano Spanish Harlem 311,261 33.60% 56.68% 2.49% 85,514 6,496 92,391 92.56% 7.03%
29 Thomas Duane Upper West Side 311,260 5.96% 11.49% 8.10% 138,600 22,000 162,132 85.49% 13.57%
30 Bill Perkins Harlem 311,263 52.91% 29.44% 2.85% 124,514 5,631 130,838 95.17% 4.30%
31 Eric Schneiderman Washington Heights 311,257 10.44% 57.43% 3.09% 102,547 13,211 116,688 87.88% 11.32%
32 Rubén Díaz Soundview 311,260 34.51% 59.44% 2.72% 85,434 6,587 92,269 92.59% 7.14%
33 Pedro Espada “Bedford Park” 311,258 27.05% 59.68% 4.47% 68,950 6,677 75,885 90.86% 8.80%
34 Jeffrey Klein Throgs Neck 311,260 14.26% 22.93% 4.62% 62,555 37,231 100,472 62.26% 37.06%
35 Andrea Stewart-Cousins Yonkers 311,259 14.57% 20.29% 5.67% 82,773 45,243 128,999 64.17% 35.07%
36 Ruth Hassell-Thompson Williamsbridge 311,259 66.51% 28.03% 1.12% 102,049 4,246 106,465 95.85% 3.99%
37 Suzi Oppenheimer Mamaroneck 311,260 9.94% 17.33% 4.53% 91,559 48,668 141,325 64.79% 34.44%
38 Thomas Morahan Clarkstown 320,851 10.25% 9.76% 5.01% 78,407 71,146 150,561 52.08% 47.25%
39 Bill Larkin New Windsor 305,749 8.15% 10.70% 1.49% 72,792 62,702 137,003 53.13% 45.77%
40 Vincent Leibell Patterson 303,372 4.92% 7.65% 1.94% 78,210 69,735 149,355 52.37% 46.69%
41 Stephen Saland Poughkeepsie 301,528 8.84% 5.71% 2.33% 79,672 63,768 145,287 54.84% 43.89%
42 John Bonacic Mount Hope 301,290 5.90% 7.85% 1.12% 77,302 57,670 137,089 56.39% 42.07%
43 Roy McDonald Stillwater 302,261 3.15% 1.81% 1.47% 82,892 71,019 156,507 52.96% 45.38%
44 Hugh Farley Schenectady 302,248 3.92% 3.15% 1.20% 70,892 66,854 140,427 50.48% 47.61%
45 Betty Little Queensbury 299,603 3.19% 2.28% 0.46% 71,424 57,271 130,725 54.64% 43.81%
46 Neil Breslin Albany 294,565 11.08% 3.08% 2.72% 93,937 50,586 147,110 63.85% 34.39%
47 Joseph Griffo Rome 291,303 4.18% 2.40% 1.09% 57,564 58,571 117,986 48.79% 49.64%
48 Darrel Aubertine Cape Vincent 290,925 3.28% 2.66% 0.60% 54,020 52,929 108,583 49.75% 48.75%
49 David Valesky Oneida 291,303 11.65% 2.55% 1.77% 74,545 50,788 127,516 58.46% 39.83%
50 John DeFrancisco Syracuse 291,303 4.12% 2.03% 1.73% 79,553 59,549 141,861 56.08% 41.98%
51 James Seward Milford 291,482 1.88% 1.90% 0.51% 63,396 63,827 129,509 48.95% 49.28%
52 Thomas W. Libous Binghamton 291,961 2.44% 1.67% 2.04% 65,428 60,553 128,108 51.07% 47.27%
53 George H. Winner, Jr. Elmira 294,378 3.31% 1.77% 2.52% 63,163 58,440 123,246 51.25% 47.42%
54 Michael Nozzolio Fayette 291,303 3.33% 2.40% 1.03% 67,947 66,843 136,824 49.66% 48.85%
55 James Alesi East Rochester 301,947 6.20% 3.39% 2.61% 88,764 69,674 160,354 55.36% 43.45%
56 Joseph Robach Greece 301,947 24.50% 7.97% 2.44% 86,216 43,226 130,931 65.85% 33.01%
57 Catharine Young Olean 295,288 1.93% 2.74% 0.45% 53,902 62,151 118,065 45.65% 52.64%
58 William Stachowski Lake View 298,637 3.94% 4.80% 0.80% 74,167 55,222 131,724 56.30% 41.92%
59 Dale Volker Depew 294,256 2.21% 1.60% 0.49% 65,450 78,887 146,642 44.63% 53.80%
60 Antoine Thompson Buffalo 298,636 37.84% 4.14% 1.24% 87,908 25,277 114,604 76.71% 22.06%
61 Michael Ranzenhofer Clarence 298,635 2.40% 1.28% 2.57% 77,641 74,020 153,935 50.44% 48.09%
62 George D. Maziarz Newfane 301,947 4.68% 2.55% 0.92% 62,703 69,048 133,837 46.85% 51.59%

In case you’re wondering, McCain won a scant 9 districts of 62. Since one, the 27th, is represented by Carl Kruger, there are a whopping 22 “Obama Republicans” in the NY Senate. There are 8 black-majority districts: 2 in Queens, 4 in Brooklyn, 1 in Manhattan, and 1 in Bronx/Westchester. There are 6 Hispanic-majority districts, 1 in Queens, 1 in Brooklyn, 2 in the Bronx, and 2 Bronx-Manhattan hybrids.

Is this surprising? Not really – Presidential toplines aren’t necessarily indicative, and this is certainly true here. But looking at the results a little differently, a pretty clear line is drawn in the Obama 58-60% range.

So I’d like to propose Obama at 59% as the ‘safe’ line for a Democrat in the NY Senate – only two Republicans live above this line, and six Democrats below: Brian Foley (54.69%) and Craig Johnson of Long Island (55.55%); David Valesky (58.46%), whose district which runs between Rome, Syracuse, and Auburn; Darrel Aubertine of the North Country (49.75%); and Bill Stachowski (56.30%) of Buffalo, and Carl Kruger of Sheepshead Bay, who I don’t think counts for many reasons maybe better saved for a diary on voting patterns in Brooklyn.

Only two Republicans live above this line – both of whom faced stiff challenges in 2008 and nearly fell victim to the Obama tide, Frank Padavan of Bellerose (Obama+26) and James Robach of Greece (Obama+33) (!!…Robach is a former Democrat).

There aren’t too many other surprises on this list, except for maybe that the most Republican district in all of New York is Andrew Lanza’s Staten Island district…

So now you’re asking…what does this mean for redistricting?

Well, a few things moving forward:

  • the goal, unlike Congressional redistricting, is no longer solely to squeeze every Democratic district out possible, it’s to get to the magic number for control first.

  • at a certain point, the weakening effect (on the margin) from creating another Democratic district becomes greater than the effect of that marginal Democrat. (For example, is there really that much of a difference between 43 and 44 Democrats out of 62?) [Sidenote: Yes, in some cases, like marriage equality, it does…but if we had 11 more Dems in the Senate, I’m pretty sure the bill would have passed…]

  • the NYS GOP pushed the 5% up-or-down rule to the limit. Given the ideal district size of 306,072, districts in the city, on Long Island, and in Westchester have an average population of 311,344; the average population upstate is 298,269!

  • the GOP gerrymandered well upstate: they conceded two districts in Buffalo and one in Albany, but split Syracuse and Rochester two-ways, and Ithaca three to dilute Democratic votes. This happens on Long Island as well, where the Democratic center of Nassau County in Uniondale and Hempstead are split between Kemp Hannon (who did almost lose), Carl Marcellino, and Dean Skelos.

  • in a revised upstate (and Long Island) map, we simply need to uncrack these Democrats. This isn’t like congressional redistricting where Republicans need to be cracked so we can preserve our overwhelming advantage; we can concede a few districts without too much trouble. The same holds for Long Island and in the Hudson Valley.

  • the opposite holds true in the city, where we have a large surplus of Democratic votes that we can dilute the influence of Republican voters.

My plan made 43 districts above the safe line. Assuming we can’t knock off Robach and we keep both Stachowski and Kruger, we’d be talking 44 or 45 Democrats. Funny how much tweaking boundaries can change things. Stay tuned for the map itself.\

Update:As Andrew says, maps would be helpful. Here’s the senate as it currently is. I’m working on final maps for my proposed districts.





A Tutorial: Redistricting Wisconsin

(From the diaries – promoted by James L.)

David asked me to do a quick example of how I do my redistricting, so I decided to use a relatively ‘easy’ state, Wisconsin, since it has townships. In the same way I wouldn’t drive a car or ride a bike without brakes (yes, fixie riders, the laws of physics hate you too), I don’t want to redistrict without having both sets of information.

Before you start, take a look at the state, and try to think how much detail you’re going to want to go into. I usually do townships/municipalities when available, but sometimes precincts. For Wisconsin, I’m going shooting for 7-1, by making the 1st and 6th more Democratic. Wisconsin doesn’t have precinct-level census data, so we’ll have to stick with townships. I really do want to split the city of Milwaukee though, so we’re going to do some estimating in just a little bit.

So now, here’s a quick overview of the process ahead:

1. Collect political and population data

2. Aggregate data together into one spreadsheet

3. Prepare a GIS shapefile (we’ll get into that) for the precinct and precinct-equivalents we’re going to use.

4. Import data from the spreadsheet into shapefile

5. Redistrict!

Follow me over the flip…

You’ll also need a few things:

a) GIS software (I use MapWindow GIS)

b) Microsoft Excel

c) An image editor program, like MS Paint, Photoshop or GIMP

d) A database file (.dbf) editor (Excel 2003 works for this, Excel 07 does not)

Let’s get started with the data.

Political data for Wisconsin is rather easy to do, everything comes in a nice spreadsheet. (Get it here.).

With that in hand, let’s get the population data. This will take a bit of work. Luckily, we have American FactFinder. Scroll down to “Census 2000 Redistricting Data” and select custom table. Let’s get the data for municipalities, so click “geo within geo”, select county subdivision within a state. Add all the county subdivisions of Wisconsin, and then hit next. Choose race, and then total population. Nothing in Wisconsin is VRA protected, so we don’t have to worry about racial breakdown. Now you’ll get a table, which conveniently, you can download by going to print/download. Now you have two nice spreadsheets.

Now that we have two spreadsheets, we have to combine them. This process is pretty arduous, but if you sort everything alphabetically, just copy and paste the two together and run a spot check. Make sure you watch out for any jurisdictions starting with “St.” or “Mc” – the Census Bureau aggregates them as ‘Saint’ and ‘Mac’, something Excel won’t do for you. With the political data, we can get to map making!

So first, we need a map template. Luckily for us, the Census Bureau keeps those on hand in its TIGER/LINE database. Since we’re only using municipalities, we can just download one file, 2000 County Subdivision. Of course, a shapefile is actually several different files, we’ll concern ourselves with two: the .shp, the shapefile itself; and the .dbf, the attribute file that we’ll be editing.

In my maps, I like to have both some political data and population data. Since we’re not worried about racial composition, I only add two sets of data to the attribute file: the population, and the Obama-McCain margin. Population is straightforward, obviously. I calculate the Obama-McCain margin, round up to the nearest percent, and then add 100 (MapWindow doesn’t like negative numbers too much), so theoretically, margins will range between 0 and 200.

Now pop open your MapWindow GIS, and click “Attribute Table Editor”. Under Edit, select “Add Field”. Call the new attribute whatever you want (I’d suggest something intuitive, like “Population” or “08 Margin”, but that’s just me). They’re both integers, and width of 10 is fine. Make sure you do this step before opening your .dbf.

Close out of MapWindow and open your .dbf so we can add our new data. Now we’re tempted to sort by County FIPS and township name (NAMELSAD00), but don’t just yet! Shapefiles require that the attribute file keep the EXACT order of attributes in their original order, so make sure you create a new column of numbers so you can get them back into their original places. Add the population and political info (again minding your Macs and your Saints). There are also ghost shapes called “County subdivision not defined”, which unsurprisingly occurs in counties like Kenosha, Racine, Milwaukee, Ozaukee, Sheboygan, etc… Just mind those as well so all our created data gets assigned to the right shapes. [Alternatively, you can also use the VLOOKUP function to match if so you’re so inclined and don’t want to worry about order.]

Finally, we can get to map making. I like to map a few maps before any gerrymandering actually happens: one with political data, and one blank “precinct” map that you can color in your image editor to keep track of what you’ve done so far. In the legend sidebar, right-click on the name of your shapefile, and select “Properties”. Here you can edit a whole bunch of stuff on how you want your shapefile to look, from fill color to line width to transparency. Here, we want to create a coloring scheme. Click on coloring scheme, and you’ll get a pop-up menu. For field, select your margin field. Then, hit the plus sign to add colors. You’ll have to choose your colors. Under the values field, you can pick the values for which MapWindow will apply that color. You can do ranges, like “0 – 100” (this is why we wanted to avoid negative numbers). I use a 7-color scale, which is 13 in total (6 Dem, 6 Rep, and 1 for an exact tie).

With that in hand, you can take screenshots of your maps using Edit->Copy->Map. For finer resolutions, I usually zoom in a bit, take multiple screenshots, and piece them together in an image editor. Now you can get to gerrymandering. To keep running totals of population and political data, in my Excel sheet, I create a column for “District”, and have a series of “SUMIF” statements. This way, as I assign precincts to a district, we get a running total. In states that have VRA protected districts, we can also track the racial composition of a district as we go along. Use your blank precinct map to keep track on a visual basis of what you’ve assigned. MapWindow is helpful here, as its “Identify” function can tell you the name of precincts you’re looking at. If you’re feeling efficient, you can select multiple precincts (holding CTRL), and viewing them all using the ‘Attribute Table Editor’. You can copy all the info out of the Attribute Table into Excel.

Now, all that work comes for the fun part: gerrymander away!

Once you’re done, you can make maps of your finished plan. You can use the precinct map you’ve been using to keep a running track, or we can go back into MapWindow. You can add a new attribute for “District” into the .dbf, as we did before. (Add field in MapWindow first, then use your .dbf editor. Again, make sure the shapes are in the exact order as you found them in.) You can then assign a new coloring scheme based on district number. There are plenty of things you can do at this point, like labeling county names using the County Shapefile, or labeling municipality names (I don’t recommend this, as this will clutter your screen beyond recognition). From here, the choices are endless.

Now, I did actually do a map of Wisconsin. I went a few steps further and divided the city of Milwaukee into precincts. Unfortunately, Census didn’t keep track of those, so I pieced together the city block by block, all 7,394 of them. I won’t go into detail on that, but my plan does split the city between two districts, much like the pre-2000 map.

I’ll cut the usual fluff I put here, since I made you read this far, haven’t I?

Here’s the new map:

And here’s an inset of Milwaukee County, with municipalities labeled.

District by district, we have:

District Population Obama McCain Obama% McCain%
1 670,184 216,461 138,012 60.30% 38.45%
Kenosha 149,577 45,836 31,609 58.38% 40.26%
Milwaukee 305,170 109,975 56,748 65.12% 33.60%
Ozaukee 0,103 0,053 0,026 67.09% 32.91%
Racine 167,842 48,846 37,464 55.97% 42.93%
Walworth 47,492 11,751 12,165 48.48% 50.19%

As I said at the outset, I wanted to draw Paul Ryan out. Plus, keeping Kenosha and Racine attached to Janesville required going through Republican Walworth County, something that made gerrymandering quite difficult. Thus, the new 1st sheds Rock County and instead climbs further through Milwaukee, grabbing St. Francis, South Milwaukee, and Cudahy, through some lakefront precincts to downtown, up the East Side, through to the Democratic-leaning North Shore towns. Kenosha County remains in its entirety, while the nastier parts of northwest Racine County are stripped out and packed into the Republican 5th. Obama’s performance in this 45% Milwaukee, 25% Racine, and 22% Kenosha district is up to 60%, up 9%.

District Population Obama McCain Obama% McCain%
2 670,284 274,235 133,998 66.36% 32.43%
Columbia 5,154 1,697 1,174 58.34% 40.36%
Dane 426,526 205,984 73,065 72.93% 25.87%
Dodge 54,056 13,367 13,699 48.77% 49.98%
Jefferson 74,021 21,448 21,096 49.80% 48.98%
Rock 64,260 19,313 11,644 61.52% 37.09%
Walworth 46,267 12,426 13,320 47.72% 51.15%

Gains have to come from somewhere, and Tammy Baldwin’s 2nd and Gwen Moore’s 4th are where the Democrats that are weakened somewhat to boost the 1st, 3rd, 6th, and 7th. However, this district is still centered on Dane County and Madison. Instead of looking south and north, this district looks east, taking in the entirety of Jefferson County and parts of Rock, Walworth, and Dodge County. Home to UW-M, UW-Whitewater, and Beloit College, this district featured Obama at 66.4%, a drop of 3%. 63.6% of this district’s residents still live in Dane County, so I’m not too concerned.

District Population Obama McCain Obama% McCain%
3 670,351 214,972 151,028 57.89% 40.67%
Barron 44,963 12,078 10,457 52.89% 45.79%
Buffalo 13,804 3,949 2,923 56.45% 41.79%
Burnett 15,674 4,337 4,200 50.03% 48.45%
Crawford 17,243 4,987 2,830 62.70% 35.58%
Dunn 39,858 13,002 9,566 56.72% 41.73%
Grant 49,597 14,875 9,068 61.29% 37.36%
Green 33,647 11,502 6,730 62.23% 36.41%
Iowa 22,780 7,987 3,829 66.85% 32.05%
La Crosse 107,120 38,524 23,701 61.13% 37.61%
Lafayette 16,137 4,732 2,984 60.49% 38.14%
Pepin 7,213 2,102 1,616 55.74% 42.85%
Pierce 36,804 11,803 9,812 53.59% 44.55%
Polk 41,319 10,876 11,282 48.18% 49.98%
Richland 17,924 5,041 3,298 59.77% 39.10%
Rock 88,047 31,216 15,720 65.58% 33.02%
St. Croix 63,155 21,177 22,837 47.38% 51.09%
Trempealeau 27,010 8,321 4,808 62.59% 36.16%
Vernon 28,056 8,463 5,367 60.22% 38.19%

Ron Kind gets a small boost too, from the inclusion of half of Rock County in his district. Ron Kind sheds Eau Claire to boost the 7th, but picks up Green and Rock from Baldwin and Burnett and Polk from Obey. Kind’s base of La Crosse stays, as does plenty of the dairy country that Kind’s been representing for years. You’re indeed right that Paul Ryan’s house in Janesville gets put in here, but Kind is favored in a Kind-Ryan matchup in this 57.9% Obama district, up half a percent. Paul Ryan’s represented 9% of this district before. Ron Kind’s representing 67% of this district – I’ll let you decide.

District Population Obama McCain Obama% McCain%
4 670,531 218,908 106,663 66.63% 32.47%
Milwaukee 634,994 209,844 92,697 68.75% 30.37%
Waukesha 35,537 9,064 13,966 38.91% 59.96%

As I’ve said, Gwen Moore bears the other brunt of redistricting. She keeps the western half on Milwaukee County – including the heart of Milwaukee and some suburbs, plus Menomonee Falls in Waukesha. Not to fear though, Obama still got 66.63% here, a drop of about 9%. Still, in this 95% Milwaukee, 5% Waukesha district, a Democrat has the clear advantage.

District Population Obama McCain Obama% McCain%
5 670,746 152,723 260,690 36.57% 62.43%
Columbia 1,983 0,328 0,747 30.04% 68.41%
Dodge 31,841 5,816 9,316 37.93% 60.76%
Fond du Lac 40,923 9,025 13,722 39.17% 59.55%
Green Lake 19,105 4,000 5,393 42.01% 56.64%
Ozaukee 82,214 20,526 32,146 38.59% 60.44%
Racine 20,989 4,562 8,490 34.61% 64.40%
Sheboygan 25,362 4,897 9,913 32.61% 66.02%
Washington 117,493 25,719 47,729 34.63% 64.27%
Waukesha 325,230 76,275 131,186 36.45% 62.69%
Winnebago 5,606 1,575 2,048 42.92% 55.80%

Sensenbrenner gets a boost too, as all the Republican votes of the Milwaukee suburbs and the Fox Valley get packed here. The trifecta of Ozaukee, Washington, and Waukesha counties are brutal for any Democrat (let’s not forget that Bush had a margin coming out of Greater Milwaukee!). Meanwhile, the North Shore of Milwaukee is removed – those were Democratic votes thrown in for no good reason. Throw in the unpalatable parts of Sheboygan, Fond du Lac, and Dodge County, and you’ve got this 37% Obama district.

District Population Obama McCain Obama% McCain%
6 670,599 195,883 157,909 54.60% 44.02%
Adams 18,643 5,806 3,974 58.36% 39.95%
Calumet 40,631 13,295 12,722 50.31% 48.15%
Columbia 45,331 14,636 10,272 58.09% 40.77%
Fond du Lac 56,373 14,438 14,442 49.47% 49.48%
Jackson 19,100 5,572 3,552 60.24% 38.40%
Juneau 24,316 6,186 5,148 53.80% 44.77%
Manitowoc 82,887 22,428 19,234 53.00% 45.45%
Marquette 15,832 4,068 3,654 51.92% 46.64%
Monroe 40,899 10,198 8,666 53.33% 45.32%
Sauk 55,225 18,617 11,562 60.92% 37.84%
Sheboygan 87,284 25,498 20,888 54.30% 44.48%
Waushara 23,154 5,868 5,770 49.64% 48.82%
Winnebago 151,157 46,592 35,898 55.65% 42.88%
Wood 9,767 2,681 2,127 54.81% 43.49%

The 6th would be the elusive seventh Democratic district in the state, and I had to reach for this one. There was potential in the old 6th, but just need to be developed further. As a result, instead of Republican leaning Dodge County, this district goes farther west and southwest, grabbing Columbia and parts of Baraboo from the 2nd, and some more counties from the 3rd. It sheds the southern half (read: Republican half) of Sheboygan, all of Fond du Lac outside of a few towns and Fond du Lac proper, and Green Lake County. What we get is a district that Obama got 54.6% in, winning each county part except Fond du Lac, which he lost by 4 votes. This district won’t necessarily elect a Democrat – the Fox Valley isn’t exactly a Democratic stronghold, but it’s certainly more likely this way.

District Population Obama McCain Obama% McCain%
7 670,602 207,247 150,865 56.98% 41.48%
Ashland 16,866 5,818 2,634 68.01% 30.79%
Bayfield 15,013 5,972 3,365 63.22% 35.62%
Chippewa 55,195 16,239 13,492 53.82% 44.72%
Clark 33,557 7,454 6,383 52.76% 45.18%
Douglas 43,287 15,830 7,835 65.93% 32.63%
Eau Claire 93,142 33,146 20,959 60.38% 38.18%
Iron 6,861 1,914 1,464 55.83% 42.71%
Langlade 20,740 5,182 5,081 49.92% 48.95%
Lincoln 29,641 8,424 6,519 55.40% 42.87%
Marathon 125,834 36,367 30,345 53.65% 44.77%
Oneida 12,802 4,029 3,913 50.07% 48.63%
Portage 67,182 24,817 13,810 63.15% 35.14%
Price 15,822 4,559 3,461 55.76% 42.33%
Rusk 15,347 3,855 3,253 53.14% 44.84%
Sawyer 16,196 4,765 4,199 52.52% 46.29%
Taylor 19,680 4,563 4,586 48.94% 49.19%
Vilas 1,613 0,591 0,809 41.68% 57.05%
Washburn 16,036 4,693 4,303 51.56% 47.28%
Wood 65,788 19,029 14,454 55.89% 42.45%

Obey’s district gets a boost too. Dave doesn’t really need the help, but should he retire, nothing should be up to chance. Not too much changes – 81% of the district is a carryover from the current 7th, but the Minneapolis exurbs are shed in exchange for Eau Claire. Obama got 57% here, an improvement of 1%.

District Population Obama McCain Obama% McCain%
8 670,378 196,782 163,228 53.95% 44.75%
Brown 226,778 67,269 55,854 54.02% 44.85%
Door 27,961 10,142 7,112 58.14% 40.77%
Florence 5,088 1,134 1,512 42.33% 56.44%
Forest 10,024 2,673 1,963 57.13% 41.95%
Kewaunee 20,187 5,902 4,711 54.81% 43.75%
Marinette 43,384 11,195 9,726 52.77% 45.84%
Menominee 4,562 1,257 0,185 86.81% 12.78%
Oconto 35,634 9,927 8,755 52.42% 46.23%
Oneida 23,974 7,878 5,717 57.00% 41.36%
Outagamie 160,971 50,294 39,677 55.04% 43.42%
Shawano 40,664 10,259 9,538 51.14% 47.55%
Vilas 19,420 5,900 6,246 47.97% 50.78%
Waupaca 51,731 12,952 12,232 50.85% 48.02%

Lastly, we have the 8th, centered still on Green Bay and Appleton. Intentionally, I didn’t tweak too much since Steve Kagen seems to be getting slowly entrenched. 96.5% of the district is the same as the old 8th, including Kagen’s base in Outagamie County. With some rearranging of precincts in Oneida and Vilas counties moves the balance 0.4% to the left, to 53.9% Obama.

A Seriously Overdue Update: Redistricting New York

(From the diaries – promoted by DavidNYC)

This redistricting map has really been a long time coming, but trying to match up the 36,000 census blocks of NYC and the 20,000 blocks of Nassau County (among many, many others) with a precinct and creating a consolidated population-political data file tends to take a while. But unquestionably, I also think this is my best map yet. I used 2008 population estimates by city/town, projected forward to 2010. I also worked painstakingly hard for population equality, which I think is evident in that the total deviation for all 28 districts is 86, or 0.012% of a single district.

At a whopping 26-3, our NY delegation is already pretty maxed out. With the loss of a district in 2010, there’s a good opportunity to consolidate and create what could possibly be a 27-1 delegation. I chose to do this by eliminating John McHugh’s district and then employing some old-fashioned cracking of Nassau County to defeat Peter King. Side goals included strengthening Massa, Arcuri, Murphy, Hall, and McMahon, while preserving VRA districts for Meeks, Towns, Clarke, Velazquez, Rangel, and Serrano.

My district maps later. First, some eye candy:

I’m sure there’s enough in these maps to make for its own diary, but that’s for another time….

(Sidenote: Yes, I am sending my dataset to Dave and David, so hopefully this can be incorporated into DRA. I do have a ‘tutorial’ on how I do my redistricting where I used Wisconsin as an example that I will hopefully post shortly.)

Now, here’s my map:

Starting upstate:

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
28 700,339 201,234 133,976 59.32% 39.50% 13.23% 5.28% 2.54%
Livingston 16,497 4,721 3,483 56.67% 41.81% 1.38% 1.87% 1.87%
Monroe 683,842 196,513 130,493 59.39% 39.44% 13.52% 5.36% 2.55%

As is the case with a lot of my districts, I took some inspiration from the districts of yesteryear (or… 1993-2003). This would still be Louise Slaughter’s district, recentered around Monroe County (with an arm to grab Geneseo out of Livingston County). The percentage drop seems daunting at first (down from 68.47%), and there’s not a good reason for Buffalo and Rochester to be packed into the same district. Anyways, Slaughter is familiar with the area and would be solid for any Rochester Democrat should Slaughter choose to retire.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
27 700,326 184,327 130,941 57.52% 40.86% 10.02% 3.79% 1.66%
Erie 429,193 127,515 72,116 62.87% 35.56% 12.69% 5.06% 2.36%
Monroe 15,048 2,895 2,769 50.22% 48.03% 3.39% 2.85% 1.06%
Niagara 214,319 47,303 46,348 49.65% 48.65% 5.78% 1.29% 0.57%
Orleans 41,766 6,614 9,708 39.87% 58.53% 6.82% 3.88% 0.32%

I think a lot of times, we overestimate the Democratic strength of Brian Higgins’ district – he was only elected in 2004, and Obama only scored 54.19% here. I’ll admit, I shuffled around this district quite a bit, with it going from Buffalo north instead of south. We add all of Niagara and Orleans Counties, with a sliver of Monroe for population balancing, but we do retain all of Buffalo’s South District, which Higgins represented in the Buffalo Common Council before getting elected to Congress. From this we get slightly more than a 3% boost to 57.52%; this should be safe for a long time to come.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
26 700,339 171,771 144,151 53.52% 44.91% 9.24% 2.02% 0.64%
Allegany 34,270 5,028 7,071 40.66% 57.18% 0.95% 0.93% 0.86%
Cattaraugus 65,144 12,365 14,715 44.91% 53.44% 1.15% 0.98% 0.52%
Chautauqua 133,249 29,129 28,579 49.54% 48.60% 2.00% 4.12% 0.35%
Chemung 55,777 12,400 10,904 52.67% 46.31% 8.20% 2.35% 0.65%
Erie 373,522 105,070 73,706 57.88% 40.60% 14.92% 1.62% 0.64%
Steuben 38,377 7,779 9,176 45.29% 53.42% 1.71% 0.83% 1.59%

Granted, I shifted around Massa’s district quite a bit too, with it now going to Buffalo instead of Rochester. I did this in the interest of centering the 28th in Monroe County and leaving room for the sprawling 23rd. However, I think it retains its Southern Tier character (roughly 40%). The nastier bits of Steuben and Allegany counties are carved out. The Democratic boost from the remaining parts of Buffalo doesn’t hurt either, leaving this district 5 points better at 53.52%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
25 700,324 181,879 137,622 55.94% 42.33% 6.42% 2.23% 1.51%
Cayuga 52,661 11,864 9,433 54.62% 43.43% 4.07% 1.79% 0.43%
Monroe 7,352 2,159 2,440 46.39% 52.43% 1.26% 1.06% 1.93%
Onondaga 427,685 122,984 78,566 59.93% 38.29% 9.11% 2.44% 2.12%
Ontario 39,862 9,316 10,334 46.78% 51.89% 0.70% 1.33% 0.73%
Oswego 71,434 15,429 12,598 53.90% 44.01% 0.78% 1.77% 0.55%
Seneca 9,816 1,943 2,012 48.32% 50.04% 0.83% 1.72% 0.35%
Wayne 91,514 18,184 22,239 44.37% 54.27% 3.08% 2.37% 0.47%

This district doesn’t substantially differ from Maffei’s current version, though I do take out a chunk of southern Onondaga county to make room for the 24th to pass through. Since we’re dismantling the current 23rd, the section of Oswego County begins to pick up some of the pieces. Still centered on Syracuse and DeWitt, this district has a marginal improvement of 0.2%, leaving it still a touch short of 56% Obama.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
24 700,337 156,841 139,301 52.08% 46.25% 2.99% 2.25% 1.68%
Cayuga 26,714 6,264 5,810 50.92% 47.23% 2.97% 2.09% 0.43%
Cortland 36,312 9,545 6,707 57.75% 40.58% 0.94% 1.30% 0.50%
Herkimer 38,842 8,096 8,639 47.56% 50.75% 0.57% 1.07% 0.46%
Jefferson 70,332 12,923 14,011 47.32% 51.30% 3.67% 2.89% 0.66%
Livingston 12,089 2,473 3,589 40.15% 58.27% 0.63% 0.98% 0.37%
Madison 50,197 10,990 10,961 48.96% 48.83% 0.55% 0.82% 0.32%
Oneida 167,933 33,209 33,409 49.08% 49.37% 6.05% 3.34% 1.40%
Onondaga 24,405 6,333 6,406 48.72% 49.28% 0.93% 0.77% 0.55%
Ontario 65,884 15,787 14,837 50.78% 47.73% 2.47% 2.52% 0.65%
Oswego 49,797 9,348 10,973 45.11% 52.95% 0.27% 0.62% 0.22%
Schuyler 6,613 1,678 1,737 48.50% 50.20% 0.60% 0.77% 0.26%
Seneca 24,097 5,479 5,026 51.11% 46.88% 3.44% 2.26% 0.81%
Tompkins 102,388 29,826 11,927 70.23% 28.08% 3.39% 3.06% 7.15%
Yates 24,734 4,890 5,269 47.57% 51.25% 0.53% 0.92% 0.27%

Tompkins County saved Arcuri from defeat in 2008, and this district helps on that front. It now incorporates all of Tompkins. Arcuri’s base in Utica remains as well, though the rest of Oneida County is surprisingly hostile to Democrats. Eastern Oswego and western Jefferson Counties are added, again to compensate for the elimination of the current 23rd. Overall, this district improves modestly to 52.08% from 50.33%. Obama only narrowly lost the district outside of Tompkins, but Ithaca is really what anchors the district.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
23 700,324 131,014 186,390 40.58% 57.73% 1.66% 1.39% 0.50%
Allegany 15,466 1,988 3,942 32.91% 65.26% 0.30% 0.96% 0.50%
Broome 15,843 2,632 3,600 41.45% 56.69% 0.34% 0.72% 0.27%
Cattaraugus 13,217 1,942 3,055 38.20% 60.09% 0.15% 0.69% 0.16%
Chemung 31,750 6,488 8,460 42.83% 55.84% 0.91% 0.68% 1.02%
Chenango 25,884 4,900 5,668 45.45% 52.58% 0.87% 1.19% 0.17%
Cortland 11,844 2,316 2,971 42.96% 55.11% 0.44% 0.75% 0.12%
Erie 100,883 23,714 32,993 41.19% 57.31% 1.06% 0.89% 0.71%
Fulton 21,025 3,488 5,203 39.37% 58.72% 0.43% 0.84% 0.25%
Genesee 56,754 10,762 15,705 40.02% 58.40% 2.00% 1.48% 0.49%
Greene 5,903 1,106 1,785 37.68% 60.82% 0.15% 1.66% 0.29%
Hamilton 4,960 1,225 2,141 35.89% 62.73% 0.46% 1.05% 0.16%
Herkimer 20,130 3,273 4,982 38.92% 59.25% 0.26% 0.58% 0.28%
Livingston 34,477 6,461 8,958 41.26% 57.21% 4.08% 2.80% 0.40%
Madison 19,533 3,702 3,473 50.33% 47.21% 3.01% 1.68% 1.19%
Monroe 27,722 5,804 8,560 39.84% 58.76% 1.26% 1.17% 0.69%
Montgomery 16,597 2,609 3,665 40.61% 57.05% 0.39% 1.09% 0.40%
Oneida 63,476 10,297 15,847 38.66% 59.49% 3.58% 2.66% 0.44%
Otsego 8,641 1,400 2,085 39.41% 58.70% 0.46% 0.91% 0.28%
Saratoga 5,523 1,039 1,664 37.71% 60.40% 0.11% 0.91% 0.24%
Schenectady 7,568 1,684 2,196 42.35% 55.23% 0.41% 0.75% 0.25%
Schoharie 31,906 6,009 8,071 41.72% 56.04% 1.15% 1.86% 0.38%
Schuyler 12,142 2,255 2,805 43.77% 54.44% 1.80% 1.47% 0.30%
Steuben 57,995 9,369 15,027 37.88% 60.75% 1.09% 0.80% 0.47%
Tioga 49,806 10,172 12,536 43.98% 54.20% 0.52% 0.98% 0.57%
Wyoming 41,279 6,379 10,998 36.11% 62.25% 5.54% 2.97% 0.35%

I’ll be the first to say it, this district is pretty disgustingly drawn. Communities of interest went flying out the window – the only thing the parts of this district have in common are their Republican political dispositions. We go from the Buffalo suburbs (Clarence, Lancaster), across Western New York and the Southern Tier to near Binghamton, through to the Capital District (Schenectady, Saratoga) and also north to the Adirondacks and even parts of Rome. The 24th and its misshapen bird form was bad, but I really challenge you to tell me what the 23rd looks like.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
22 700,336 179,738 122,708 58.56% 39.98% 8.05% 7.81% 1.97%
Broome 178,230 44,572 36,477 54.12% 44.29% 3.31% 2.09% 3.03%
Chenango 24,736 5,200 4,669 51.65% 46.38% 0.69% 0.95% 0.40%
Delaware 29,939 5,974 6,707 46.18% 51.85% 1.20% 1.56% 0.57%
Dutchess 124,272 33,064 18,781 63.00% 35.78% 15.57% 8.08% 2.68%
Orange 108,913 24,453 14,091 62.87% 36.23% 15.33% 21.18% 1.74%
Sullivan 65,142 14,357 11,288 55.25% 43.44% 8.71% 10.23% 1.17%
Ulster 169,104 52,118 30,695 61.90% 36.45% 4.85% 6.21% 1.25%

With Ithaca out of the picture shoring up the 24th, and with the 23rd cutting off any access route, I had to scrounge for Democratic votes to keep Hinchey at a comparable level. We get a vaguely frog-like district (facing east), in my opinion. One leg is for Binghamton, another for the less-Republican areas not in the 23rd and for population balance. Retained is Hinchey’s base in Ulster and Sullivan counties, with arms for Newburgh and Middletown in Orange County. Also of note is the string along the Hudson in Dutchess County, from Red Hook through Poughkeepsie down to Beacon. The lack of Ithaca still shows, but with some effort, there’s only a 0.7% drop.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
21 700,326 188,251 129,091 58.22% 39.93% 7.33% 3.35% 2.00%
Albany 297,374 93,937 50,586 63.85% 34.39% 10.38% 3.03% 2.73%
Delaware 15,716 3,488 3,817 46.79% 51.21% 0.97% 2.98% 0.46%
Fulton 34,115 6,207 6,506 47.88% 50.19% 2.46% 2.05% 0.69%
Greene 42,995 8,744 10,274 45.07% 52.96% 5.90% 4.66% 0.56%
Montgomery 32,041 6,471 7,046 47.06% 51.24% 1.17% 9.69% 0.59%
Otsego 52,911 12,170 9,941 53.92% 44.05% 1.84% 2.06% 0.69%
Rensselaer 84,179 21,354 14,358 58.70% 39.47% 7.50% 3.02% 2.55%
Schenectady 34,115 6,207 6,506 56.33% 41.70% 6.59% 3.23% 1.85%

With problematic Schoharie County out of the way, Tonko’s 21st can look to some greener (bluer?) pastures. Mostly, this is just some housekeeping down in Otsego, Delaware, and Greene counties. Tonko’s residence in Amsterdam stays in, as well as the entirety of Albany County, and Rensselaer and Troy. The net is a very marginal (less than 0.1%) improvement.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
20 700,334 160,398 136,431 53.18% 45.23% 2.33% 1.93% 0.78%
Clinton 81,880 20,216 12,579 60.64% 37.73% 3.26% 2.39% 0.66%
Essex 37,584 10,390 7,913 55.88% 42.55% 2.73% 2.24% 0.41%
Franklin 50,695 10,571 6,676 60.34% 38.11% 2.02% 1.44% 0.37%
Herkimer 2,891 725 998 41.36% 56.93% 0.59% 0.76% 0.21%
Jefferson 48,322 5,243 6,209 45.30% 53.64% 8.44% 6.12% 1.28%
Lewis 25,862 4,986 5,969 44.77% 53.59% 0.38% 0.63% 0.24%
SaintLawrence 109,499 23,706 16,956 57.36% 41.03% 2.16% 1.73% 0.72%
Saratoga 209,673 54,492 50,170 51.26% 47.19% 1.36% 1.42% 1.07%
Schenectady 4,452 1,047 999 50.12% 47.82% 1.53% 1.24% 7.75%
Warren 66,201 16,281 15,429 50.49% 47.85% 0.57% 1.04% 0.54%
Washington 63,275 12,741 12,533 49.52% 48.71% 2.72% 1.98% 0.27%

You look at this district and you ask, can this really be called Scott Murphy’s and not Dede Scozzafava’s district? I say yes for two reasons. First, Murphy lives in the northern part of the current 20th, which is also included here. Second, slightly more than half the population is from the current 20th, including Saratoga Springs. Tedisco did quite well in Saratoga, but the more Republican parts are stripped out for the 23rd. For our efforts, we’re rewarded with a 2.5% boost to 53.2% from 50.7%.

We’re getting into Westchester now, so I’m guessing you’ll want a more detailed map:

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
19 700,332 164,609 146,591 52.27% 46.55% 6.63% 7.77% 2.17%
Columbia 61,582 17,556 13,337 55.91% 42.47% 4.22% 2.50% 0.77%
Dutchess 169,953 37,996 40,847 47.64% 51.21% 3.38% 5.05% 2.37%
Orange 172,819 35,267 35,438 49.33% 49.57% 4.61% 7.90% 1.48%
Putnam 20,848 5,977 5,071 53.54% 45.42% 1.16% 5.12% 0.89%
Rensselaer 71,703 18,399 18,482 48.93% 49.15% 0.58% 0.91% 0.60%
Rockland 109,519 25,986 16,657 60.58% 38.83% 18.49% 17.54% 5.22%
Saratoga 4,956 1,114 1,021 51.55% 47.25% 0.30% 1.31% 0.59%
Sullivan 10,975 2,493 2,612 48.14% 50.43% 4.24% 3.91% 0.62%
Ulster 12,751 2,202 2,605 45.21% 53.48% 7.87% 6.96% 0.89%
Westchester 65,226 17,619 10,521 62.04% 37.04% 11.90% 12.73% 2.47%

John Hall’s district also gets quite the makeover. However, it retains Hall’s residence in Dover Plains and most of Dutchess County, as well as the Democratic-leaning parts of Putnam and Cortlandt/Peekskill in Westchester. There’s also an arm into Rockland, nabbing the heavily Democratic parts of Ramapo town. Notable removals include the heavily Republican towns of Monroe in Orange County (including Kiryas Joel village) and Carmel in Putnam County. In order to accomodate the 22nd, the 19th doesn’t get as much of a boost, only to 52.3%, up 1.6%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
18 700,332 189,437 128,831 59.04% 40.15% 7.77% 12.94% 4.37%
Putnam 78,561 15,636 20,074 43.38% 55.70% 1.58% 6.55% 1.29%
Westchester 621,771 173,801 108,757 61.02% 38.18% 8.55% 13.75% 4.76%

To help Hall, Nita Lowey’s district picks up the eastern half of Putnam County. With Hall’s district shifted northward, most of Westchester gets put here, all the way from Somers to White Plains to New Rochelle and the Bronx line, with a nice arm into Yonkers to hold the Democratic percentage up. There’s still a 2.5% drop though, thanks to Carmel. Not that Lowey has to worry.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
17 700,336 165,083 99,430 62.00% 37.35% 22.39% 14.76% 3.84%
Bronx 81 44,915 9,298 2,447 78.76% 20.73% 29.10% 26.99% 5.46%
Bronx 83 84,609 23,232 829 96.44% 3.44% 71.80% 18.74% 1.53%
Orange 104,370 18,606 22,513 44.81% 54.22% 2.47% 6.09% 1.22%
Rockland 191,832 43,557 45,095 48.81% 50.53% 6.11% 6.35% 5.52%
Westchester 274,610 70,390 28,546 70.69% 28.67% 25.01% 20.70% 4.12%

Finally, we’ve broken the city barrier. But first, the district takes in a lot of Rockland and Orange counties that didn’t get lumped into the 19th. There are some pretty Republican (or at least anti-Obama) pockets in the towns of Monroe and Ramapo – most likely owing to the Orthodox Jewish communities in Kiryas Joel, Monsey, and Viola. I do think there’s a good chance they’d vote for Engel, though. In Westchester, I kept the riverside villages of Hastings-on-Hudson, Dobbs Ferry, and Irvington whole (though the district still jumps the Tappan Zee). Yonkers and Mount Vernon are still here, as well as Wakefield and Woodlawn in the Bronx. Engel still lives here, though the district is less Bronx-centric (and yes, 10% less Democratic at 62.0%) than before.

Now that we’re in the city, here’s a map of the city districts.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
16 700,335 160,042 8,640 94.69% 5.11% 29.87% 63.04% 1.66%
Bronx 76 16,403 4,306 251 94.22% 5.49% 21.58% 74.86% 0.80%
Bronx 77 127,997 31,128 1,170 96.17% 3.61% 39.90% 55.31% 1.00%
Bronx 78 110,205 20,538 1,921 91.17% 8.53% 19.09% 62.20% 4.43%
Bronx 79 127,999 35,507 1,417 95.99% 3.83% 42.31% 53.94% 0.39%
Bronx 84 127,997 30,857 1,699 94.59% 5.21% 25.07% 70.72% 0.94%
Bronx 85 61,719 12,703 886 93.29% 6.51% 21.25% 73.89% 1.12%
Bronx 86 128,015 25,003 1,296 94.96% 4.92% 26.71% 66.15% 2.29%

She’s still Jenny from the Block, and this is pretty much the old 16th district centered on SoBro the South Bronx. More than 95% of the new and old 16ths overlap, and the result shows at 95% Obama. From Mott Haven through to Fordham, this district remains heavily Hispanic at 63.04%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
15 700,335 223,266 14,911 93.16% 6.22% 30.51% 47.95% 2.89%
Bronx 85 13,501 0.00% 0.00% 60.57% 26.94% 0.26%
NewYork 67 20,661 8,617 1,290 86.29% 12.92% 5.69% 12.38% 5.60%
NewYork 68 134,547 40,792 2,347 94.18% 5.42% 37.39% 50.66% 2.59%
NewYork 69 117,783 46,205 3,749 91.72% 7.44% 19.76% 25.37% 7.68%
NewYork 70 137,564 49,640 1,160 97.26% 2.27% 59.76% 33.83% 1.02%
NewYork 71 137,943 44,088 3,729 91.54% 7.74% 29.00% 50.09% 2.42%
NewYork 72 137,956 33,657 2,572 92.31% 7.05% 6.18% 83.94% 1.25%
NewYork 73 380 267 64 79.94% 19.16% 9.74% 32.89% 8.68%
Queens 36 0.00% 0.00% 0.00% 0.00% 0.00%

I’m not sure when the tradition of putting Rikers into the 15th was started, but it’s been that way since at least 1993, and I’ve kept it that way. Again, the vast majority of the district is the same, from Inwood to Washington Heights to Harlem, Spanish Harlem, and Morningside Heights. I tried for clean lines in the city: the border with the 14th remains straight on 96th street. The west side is a bit harder for population balancing. Still ridonkulously Democratic, giving the 16th a run for its money. (Note how Obama got 97.26% in the 70th Assembly District. That’s… almost Detroit-level.) Still plurality-Hispanic.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
14 700,333 215,909 56,278 78.60% 20.49% 4.40% 14.02% 11.71%
NewYork 64 17,277 5,776 750 87.33% 11.34% 3.46% 19.10% 27.11%
NewYork 65 137,938 46,042 14,076 76.02% 23.24% 3.54% 5.91% 7.40%
NewYork 66 31,803 11,929 1,284 89.00% 9.58% 5.81% 8.99% 13.86%
NewYork 67 8 0.00% 0.00% 0.00% 0.00% 0.00%
NewYork 68 3,694 1,345 394 76.64% 22.45% 1.60% 4.22% 3.11%
NewYork 69 0.00% 0.00% 0.00% 0.00% 0.00%
NewYork 73 137,545 46,638 15,890 74.06% 25.23% 2.42% 5.78% 6.56%
NewYork 74 98,736 36,782 7,748 81.75% 17.22% 5.15% 9.43% 11.03%
NewYork 75 51,307 18,930 4,551 79.92% 19.21% 3.20% 6.03% 11.60%
Queens 30 63,151 12,192 3,763 75.52% 23.31% 1.10% 29.61% 22.63%
Queens 36 111,978 24,400 6,200 78.80% 20.02% 1.53% 24.98% 13.99%
Queens 37 46,896 11,875 1,622 87.42% 11.94% 23.36% 35.58% 14.37%

Again, not much different here either. Maloney keeps all of Central Park and the East Side of Manhattan through to Houston Street. Again, I tried for clean lines, with Central Park West/8th Ave., then 7th Ave. (with a bump-out in Midtown to balance population). On the Queens side, still essentially the same areas of Astoria and Ravenswood, though Long Island City/Hunters Point is shifted to the 12th. Again no news here, just a slight bump up from 78.2%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
13 700,335 112,193 105,598 51.16% 48.16% 8.90% 12.68% 8.89%
Kings 46 75,728 14,610 6,628 68.29% 30.98% 21.03% 19.35% 8.78%
Kings 47 15,158 2,234 1,593 58.01% 41.37% 9.24% 11.99% 13.74%
Kings 48 19,788 2,335 1,517 59.89% 38.91% 0.49% 10.09% 35.83%
Kings 49 47,090 4,644 3,754 54.87% 44.35% 0.28% 9.98% 28.22%
Kings 51 4,769 716 298 70.13% 29.19% 0.84% 21.95% 23.13%
Kings 60 41,556 8,343 5,746 58.84% 40.52% 0.87% 11.30% 10.44%
Richmond 60 89,565 11,844 16,708 41.16% 58.07% 1.80% 10.87% 4.75%
Richmond 61 135,561 29,614 14,247 67.02% 32.24% 24.78% 20.62% 4.30%
Richmond 62 135,557 16,097 33,590 32.20% 67.20% 0.78% 5.46% 3.22%
Richmond 63 135,563 21,756 21,517 49.98% 49.43% 6.00% 10.92% 9.79%

McMahon keeps his Staten Island-centric district. I tried to make the Brooklyn parts as Democratic as possible, losing Dyker Heights, Bensonhurst, and Gravesend in favor of Democratic Coney Island. A 2.4% boost to 51.2% results, though I don’t think McMahon was really in any danger.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
12 700,333 161,348 26,946 85.12% 14.22% 11.02% 50.43% 8.56%
Kings 44 4,773 675 221 74.59% 24.42% 1.32% 47.77% 15.50%
Kings 50 104,489 20,414 8,279 70.53% 28.60% 2.47% 20.15% 2.91%
Kings 51 103,568 18,135 2,742 86.33% 13.05% 7.22% 62.98% 13.34%
Kings 52 42,116 17,874 1,863 89.90% 9.37% 8.55% 21.82% 5.95%
Kings 53 127,288 33,118 2,768 91.66% 7.66% 9.57% 72.76% 4.62%
Kings 54 99,941 21,611 1,442 93.54% 6.24% 28.68% 59.08% 3.85%
Kings 55 13,774 2,943 152 94.94% 4.90% 38.04% 52.70% 2.46%
Kings 56 9,315 2,705 86 96.54% 3.07% 50.42% 45.12% 0.74%
Kings 57 1,105 395 31 92.51% 7.26% 18.46% 32.40% 2.99%
NewYork 64 37,350 10,272 2,641 79.08% 20.33% 10.12% 36.81% 33.17%
NewYork 74 39,183 13,030 1,011 92.17% 7.15% 13.81% 57.05% 10.02%
Queens 23 912 139 16 89.68% 10.32% 7.79% 65.13% 7.46%
Queens 30 7,175 950 428 68.30% 30.77% 1.20% 44.10% 8.15%
Queens 37 74,428 13,235 3,106 80.14% 18.81% 2.48% 48.07% 12.88%
Queens 38 34,916 5,852 2,160 72.57% 26.79% 3.69% 46.74% 8.95%

Really, nothing new here either, except we’ve shifted it from plurality to majority Hispanic. Same neighborhoods, from Sunset Park to Red Hook, Loisaida, Greenpoint, and Bushwick. A notable shift is that Chinatown is removed and Williamsburg is added, dropping Obama’s performance by 1% (to a still-astronomical 85%).

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
11 700,339 202,773 25,773 88.34% 11.23% 56.82% 11.34% 4.19%
Kings 40 6,943 1,721 26 98.46% 1.49% 80.27% 9.92% 2.87%
Kings 41 1,590 183 189 48.67% 50.27% 1.45% 5.72% 9.18%
Kings 42 123,943 31,418 3,872 88.70% 10.93% 65.91% 14.26% 2.82%
Kings 43 126,615 35,833 3,218 91.54% 8.22% 78.31% 6.99% 1.04%
Kings 44 105,672 28,613 7,250 79.02% 20.02% 10.57% 14.95% 14.31%
Kings 45 24,782 1,815 4,221 29.94% 69.63% 0.93% 6.71% 10.98%
Kings 48 15,572 962 3,158 23.28% 76.43% 3.05% 4.41% 8.63%
Kings 52 68,581 31,571 2,616 91.73% 7.60% 13.45% 18.99% 4.03%
Kings 55 48,759 12,928 184 98.54% 1.40% 82.82% 13.72% 0.48%
Kings 56 25,329 7,701 175 97.62% 2.22% 86.05% 9.26% 0.62%
Kings 57 59,576 22,183 383 97.90% 1.69% 75.48% 12.22% 1.86%
Kings 58 92,977 27,845 481 98.20% 1.70% 89.57% 4.98% 0.81%

Not much new here either, still a central-Brooklyn based district for Yvette Clarke centered in Flatbush, Prospect Park, Park Slope, and Crown Heights. The district does move farther south into Ocean Parkway though, mostly to relieve stress on the 9th. Still majority-Black, though the southward shift lowers the Democratic percentage by 2 points.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
10 700,332 206,787 27,897 87.83% 11.85% 56.83% 13.79% 4.13%
Kings 40 108,940 34,597 1,662 95.30% 4.58% 66.19% 24.03% 1.09%
Kings 41 109,242 25,843 9,181 73.44% 26.09% 45.03% 6.98% 6.80%
Kings 42 3,339 664 237 73.29% 26.16% 40.40% 12.37% 10.36%
Kings 43 694 299 5 97.71% 1.63% 92.07% 3.75% 1.01%
Kings 45 47,518 4,496 5,422 44.93% 54.19% 1.62% 5.42% 18.05%
Kings 50 22,794 7,420 191 96.96% 2.50% 54.47% 26.52% 3.00%
Kings 52 16,586 7,784 676 91.21% 7.92% 14.75% 16.03% 5.97%
Kings 54 24,729 7,248 199 97.09% 2.67% 55.53% 38.19% 1.74%
Kings 55 64,751 21,406 315 98.45% 1.45% 78.93% 18.14% 0.31%
Kings 56 92,645 31,257 363 98.61% 1.15% 85.93% 9.76% 0.74%
Kings 57 66,599 27,698 564 97.56% 1.99% 66.92% 14.18% 3.94%
Kings 58 34,297 10,915 473 95.76% 4.15% 75.18% 7.34% 3.55%
Kings 59 108,198 27,160 8,609 75.76% 24.01% 40.95% 8.21% 4.21%

Same story for Ed Towns, with an arcing district from Brooklyn Heights to Bed-Stuy, East New York, and south to Canarsie. Again a slight southward expansion to boost the 9th. Still majority Black, a slight drop to 88% Obama (oh the humanity).

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
9 700,331 112,711 76,412 59.14% 40.10% 5.49% 17.19% 14.44%
Kings 40 11,398 3,791 136 96.44% 3.46% 66.46% 20.06% 2.32%
Kings 41 16,449 2,384 2,460 48.79% 50.35% 2.16% 4.20% 7.45%
Kings 45 54,991 4,440 8,420 34.28% 65.01% 1.18% 5.66% 7.79%
Kings 46 43,147 4,404 6,345 40.65% 58.56% 2.15% 12.36% 10.04%
Kings 47 41,476 3,618 4,713 43.08% 56.12% 0.64% 7.71% 17.89%
Kings 48 1,663 100 267 26.95% 71.97% 0.30% 4.51% 1.44%
Kings 54 2,612 435 48 90.06% 9.94% 7.89% 31.36% 35.99%
Kings 59 19,076 2,245 3,884 36.52% 63.18% 0.77% 3.69% 2.12%
Queens 22 2,138 366 149 70.52% 28.71% 0.70% 14.45% 49.67%
Queens 23 50,558 8,463 5,688 59.47% 39.97% 2.92% 25.78% 9.36%
Queens 25 36,705 6,244 3,037 66.86% 32.52% 9.61% 22.41% 27.91%
Queens 27 96,518 17,999 9,552 64.81% 34.40% 8.44% 20.51% 14.52%
Queens 28 128,913 26,850 16,192 61.73% 37.23% 1.56% 11.04% 15.96%
Queens 30 49,919 7,176 6,377 52.53% 46.68% 0.56% 15.35% 12.11%
Queens 34 8,476 1,031 446 69.29% 29.97% 0.72% 31.34% 42.08%
Queens 35 38,332 7,618 1,942 79.22% 20.20% 23.62% 21.51% 25.61%
Queens 37 7,595 988 578 62.49% 36.56% 0.45% 23.67% 6.11%
Queens 38 90,365 14,559 6,178 69.77% 29.61% 4.12% 31.23% 12.98%

Weiner was never in any danger, really, but it was just odd to have an only 55% Obama district in the city. (IMO, Staten Island doesn’t count.) The district becomes more Queens-centric, while retaining Weiner’s home in Forest Hills, as well as taking in Middle Village, Maspeth, Kew Gardens, parts of Ridgewood, and Ozone Park. Same deal in Brooklyn, keeping Gerritsen, Sheepshead Bay, and Brighton Beach. It does lose parts of Ocean Parkway and Borough Park, picking up slightly-less Republican Gravesend. The boost helps, bringing this to 59% Obama, up roughly 5%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
8 700,334 180,156 61,502 73.91% 25.23% 3.26% 10.96% 17.70%
Kings 44 16,832 1,565 1,810 46.00% 53.20% 4.30% 21.86% 13.59%
Kings 46 8,410 1,005 1,621 37.91% 61.15% 0.07% 4.38% 5.27%
Kings 47 70,647 6,430 6,978 47.49% 51.53% 0.39% 8.77% 21.67%
Kings 48 90,253 4,252 13,982 23.21% 76.31% 0.63% 7.96% 14.08%
Kings 49 80,195 6,270 9,006 40.75% 58.54% 0.26% 7.69% 18.61%
Kings 51 18,949 1,819 1,141 61.08% 38.31% 1.46% 31.98% 29.91%
Kings 60 1,628 455 271 62.24% 37.07% 13.33% 17.63% 8.29%
NewYork 64 83,292 18,436 5,488 76.26% 22.70% 3.12% 7.94% 58.80%
NewYork 66 106,110 47,097 5,946 87.96% 11.10% 3.12% 6.24% 7.30%
NewYork 67 117,297 48,690 8,807 84.01% 15.20% 5.32% 11.40% 6.46%
NewYork 69 20,096 8,878 1,059 88.66% 10.58% 11.90% 21.68% 3.08%
NewYork 75 86,625 35,259 5,393 85.88% 13.14% 6.93% 18.26% 8.74%

Nadler’s district, again, is mostly unchanged. Upper West Side, Chelsea, Greenwich Village, TriBeCa, SoHo, the FiDi, etc stay in the Manhattan parts. In Brooklyn, there’s Borough Park and Dyker Heights. Obama only scored 38% in the Brooklyn section. This is countered by the 84.8% Manhattan section, averaging out to 73.9% Obama (+0.2%).

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
7 700,334 169,540 44,870 78.67% 20.82% 21.69% 33.45% 7.24%
Bronx 76 102,281 35,512 1,360 91.58% 8.04% 30.13% 54.16% 5.16%
Bronx 78 17,738 3,906 514 87.87% 11.56% 12.70% 54.97% 8.63%
Bronx 80 127,990 25,850 7,729 76.58% 22.90% 17.43% 34.20% 6.17%
Bronx 81 83,053 22,193 6,377 77.05% 22.14% 10.59% 30.14% 6.67%
Bronx 82 127,982 33,335 11,167 74.61% 24.99% 21.28% 26.51% 2.98%
Bronx 83 43,382 13,808 460 96.65% 3.22% 74.85% 16.50% 0.86%
Bronx 85 52,777 16,525 881 94.82% 5.06% 41.55% 52.88% 0.74%
Queens 25 10,735 1,833 1,701 51.49% 47.78% 0.36% 11.51% 18.98%
Queens 26 45,860 8,518 7,486 52.82% 46.42% 0.34% 7.86% 13.41%
Queens 27 25,344 3,569 2,407 59.19% 39.92% 1.48% 23.50% 16.64%
Queens 30 8,662 2,535 570 81.12% 18.24% 16.01% 31.55% 13.16%
Queens 34 26,437 3,684 1,263 73.89% 25.33% 0.97% 36.91% 39.77%
Queens 35 1,524 557 56 90.13% 9.06% 65.16% 23.10% 2.10%
Queens 36 16,402 3,113 1,587 65.55% 33.42% 0.68% 14.22% 5.51%
Queens 39 859 42 33 56.00% 44.00% 0.00% 32.25% 50.41%

Most of the creative districting in the city came in Queens, I think, and the 7th is a good example. The Bronx portion doesn’t change too much, except it stretches to the Hudson now that the 17th is more suburban. Otherwise, Co-op City, Pelham Bay, Soundview, and Parkchester stay in, jumping Long Island Sound at Throgs Neck. It takes in more suburban areas of Queens than before, including Whitestone and Beechhurst. Crowley does live in Woodside, but there’s an arm for that.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
6 700,342 193,435 48,975 79.52% 20.13% 50.16% 13.15% 5.79%
Nassau Hempstead 103,588 21,866 26,891 44.56% 54.80% 3.12% 8.28% 2.65%
Queens 23 77,443 13,299 13,020 50.16% 49.11% 16.37% 13.73% 2.47%
Queens 24 16,528 4,735 1,160 79.85% 19.56% 31.17% 16.65% 21.70%
Queens 25 20,693 2,866 585 82.90% 16.92% 11.06% 23.53% 33.37%
Queens 29 129,059 41,182 2,096 94.97% 4.83% 67.24% 12.70% 6.69%
Queens 31 128,767 35,403 2,612 92.92% 6.86% 58.39% 19.05% 5.17%
Queens 32 118,350 37,979 1,112 96.98% 2.84% 72.75% 12.77% 4.18%
Queens 33 102,281 35,512 1,360 96.16% 3.68% 77.68% 8.35% 4.18%
Queens 38 3,633 593 139 80.79% 18.94% 11.70% 19.60% 24.75%

Gregory Meeks’ district gets quite the change as well, and becomes the first of three Nassau-Queens hybrid districts. The district remains centered on East Queens, though, from Jamaica and Ozone Park east to the Nassau line. In Nassau, we try to grab the most Republican parts in southwestern Hempstead, including Woodmere and Lawrence. Also of note is the shift of the entire Rockaway Peninsula (the western part of which is quite Republican) to the district. Broad Channel is also no longer split in two. Amazingly, the district is still majority-Black (just barely at 50.16% non-Hispanic-or-Latino Black). The Nassau parts do bring down the Democratic percentage 9.5% to 79.5%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
5 700,332 133,441 82,791 61.36% 38.07% 4.36% 30.94% 17.76%
Nassau Glen Cove 26,819 6,231 4,491 57.68% 41.57% 6.05% 20.04% 4.06%
Nassau NHempstead 100,663 26,480 20,617 55.87% 43.50% 3.24% 7.45% 7.51%
Nassau Oyster Bay 70,799 17,422 18,547 48.08% 51.18% 1.38% 4.84% 5.45%
Queens 22 50,470 5,897 2,400 70.50% 28.69% 4.89% 22.12% 51.94%
Queens 24 7,228 1,273 1,008 55.42% 43.88% 0.33% 4.87% 37.85%
Queens 25 16,832 2,690 1,891 58.25% 40.95% 1.09% 18.42% 29.98%
Queens 26 61,785 13,292 8,316 60.99% 38.16% 1.46% 9.40% 20.70%
Queens 27 6 1 100.00% 0.00% 83.33% 16.67% 0.00%
Queens 34 94,000 15,790 4,262 78.27% 21.13% 2.49% 56.82% 17.86%
Queens 35 89,057 14,167 2,599 84.21% 15.45% 16.30% 47.03% 24.10%
Queens 36 541 102 53 64.97% 33.76% 0.74% 39.56% 16.45%
Queens 39 128,059 15,993 3,527 81.50% 17.97% 3.04% 64.80% 20.23%
Suffolk Huntington 54,073 14,103 15,080 48.32% 51.67% 0.58% 2.68% 1.63%

This district is pretty hideous, too. With a lot of suburban Queens in the 7th, the 5th can pick up more of the more-Democratic inner neighborhoods of Queens. So, we get a district that stretches from Elmhurst and Jackson Heights to Huntington. Again, harking back to the olden days, the district grabs out some choice precincts in Suffolk County, relieving pressure on the 1st and 2nd. In Nassau, it keeps Great Neck and Port Washington, but also adds Old Westbury, Syosset, and Glen Cove. In Suffolk, we avoid Huntington (the hamlet), since Steve Israel lives there, but we do get Cold Spring Harbor and Fort Salonga, all the way to the Huntingtown-Smithtown line. All this results in a 2% drop to 61.2% Obama, buoyed by the 74% Democratic section of Queens. Regardless, Ackerman will be fine.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
4 700,334 161,268 113,858 58.19% 41.08% 8.97% 12.17% 18.22%
Nassau Hempstead 298,688 78,085 62,541 55.12% 44.15% 13.72% 9.41% 5.48%
Nassau NHempstead 110,727 27,053 24,773 51.79% 47.43% 2.20% 8.92% 11.41%
Queens 22 76,306 10,171 4,522 68.83% 30.60% 4.62% 19.26% 53.70%
Queens 24 105,163 23,741 13,004 64.06% 35.09% 5.29% 8.51% 28.19%
Queens 25 43,952 7,915 2,893 72.73% 26.58% 8.95% 19.89% 31.85%
Queens 26 21,277 4,959 2,614 65.02% 34.27% 5.11% 9.09% 24.00%
Queens 27 7,034 1,897 501 78.58% 20.75% 14.90% 23.49% 17.44%
Queens 32 10,560 1,640 176 90.11% 9.67% 18.29% 56.70% 12.10%
Queens 33 26,627 5,807 2,834 66.82% 32.61% 8.61% 19.85% 23.95%

Here’s the third of the Queens-Nassau districts. The current 4th gets its Democratic strength from Uniondale and Hempstead, but those would fit well in a newly Democratic 3rd district. Thus, two prongs into Queens, one into Briarwood and one into Flushing, which meet in Briarwood. In Nassau, this district includes closer-in Democratic areas like Elmont and Valley Stream balanced by swing areas like Mineola and extremely Republican Garden City. In total, the Queens section again anchors the district, leaving it at 58.2% Democratic, up 0.2%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
3 700,333 173,270 145,755 53.90% 45.34% 11.26% 10.91% 2.78%
Nassau Hempstead 357,522 96,465 66,066 58.94% 40.37% 17.97% 14.09% 2.07%
Nassau Long Beach 35,596 9,900 5,991 61.71% 37.34% 5.84% 12.79% 2.29%
Nassau NHempstead 14,810 4,539 268 94.21% 5.56% 55.06% 32.73% 2.29%
Nassau Oyster Bay 207,997 45,920 53,387 45.87% 53.33% 1.71% 5.46% 4.69%
Suffolk Babylon 60,933 11,620 13,213 46.33% 52.68% 1.23% 7.45% 1.45%
Suffolk Islip 23,475 4,826 6,830 41.03% 58.07% 0.39% 3.14% 1.15%

My favorite district, really. You might look at the map and say… is that really an improvement? Yes, Massapequa, Bethpage, and Levittown are still here, as Amityville, Copaigue, and West Islip. However, in picking up Uniondale, Hempstead, and Freeport in the Town of Hempstead, and parts of Syosset, Jericho, and Plainview, the Democratic performance improves quite a bit. It would have been higher had I not included the South Shore in Suffolk County and instead grabbed Plainview, but I wanted to hold the 2nd constant. All in all, up 6.6% to 54.0% Democratic. Perfect for someone like Dave Mejias who can keep the margins in Massapequa down.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
2 700,333 161,736 124,818 56.14% 43.32% 9.88% 14.76% 2.59%
Nassau Oyster Bay 22,604 8,224 5,204 60.82% 38.49% 0.68% 2.11% 4.19%
Suffolk Babylon 159,088 36,443 22,697 61.18% 38.10% 20.38% 11.04% 2.04%
Suffolk Brookhaven 58,579 11,900 11,352 51.15% 48.79% 1.48% 11.15% 1.59%
Suffolk Huntington 147,345 38,687 32,517 54.31% 45.65% 5.33% 8.01% 4.17%
Suffolk Islip 312,717 66,482 53,048 55.16% 44.02% 8.91% 21.44% 2.20%

Steve Israel’s district is mostly unchanged, still centered on the towns of Huntington, Islip, and Babylon, including Melville, Dix Hills, and Ronkonkoma. It also takes in a small section of Nassau (parts of Woodbury, Plainview, and Old Bethpage), keeping the Democratic performance up. Instead of Republican Smithtown, the district takes out Patchogue, Holtsville, and Farmingville from the town of Crookhaven. Democratic performance is essentially unchanged from 56.13%.

County/Division 2010 Pop Obama McCain Obama% McCain% Black% Hisp% Asian%
1 700,334 162,488 152,284 51.52% 48.28% 4.13% 7.00% 2.47%
Suffolk Brookhaven 432,826 97,765 86,672 52.99% 46.97% 4.41% 7.62% 3.05%
Suffolk East Hampton 22,388 7,786 3,993 66.07% 33.88% 3.44% 14.78% 1.19%
Suffolk Riverhead 35,929 7,540 7,968 48.59% 51.35% 10.34% 6.06% 0.90%
Suffolk Shelter Island 2,560 1,086 786 57.98% 41.96% 0.51% 2.38% 0.47%
Suffolk Smithtown 121,316 26,114 34,409 42.78% 56.37% 0.59% 3.33% 2.37%
Suffolk Southampton 62,595 15,862 11,967 56.98% 42.99% 6.34% 8.56% 0.82%
Suffolk Southold 22,720 6,335 6,489 49.36% 50.56% 2.81% 4.77% 0.43%

Lastly, we arrive at the 1st district, again, mostly unchanged. It contains the Hamptons, Southold, Riverhead, all of Smithtown, and most of Brookhaven. Obama’s performance is up just a tad to 51.52%.

And there we have it, my 27-1 plan for New York. Comments and questions (and witty remarks!) welcome, as always. (That tutorial is coming up, I promise!)

Wakin’ Up in Vegas: Redistricting Nevada

(From the diaries – promoted by DavidNYC)

Redistricting is popular around here, so I really don’t need to explain this any more. Here’s a plan for Nevada that’s 3-1. I wanted to protect Berkley and Titus, and create a 3rd Democratic district.

I crunched population data by census block for Clark County into precincts, and by census VTDs for Douglas, Lyon, and Nye Counties.

So here’s the map:

Data (both political and population) after the flip.

Here’s are closeups of Douglas and Clark/Southern Nye Counties:

 

And closeups of the Las Vegas area, the first with precincts and the second with incorporated cities and CDPs labelled.





























County 2010 Pop Obama McCain Total Obama% McCain%
1st 670,860 129,024 73,473 206,859 62.40% 35.53%
Clark 670,860 129,024 73,473 206,859 62.40% 35.53%

The 1st (in red), this was designed to be Shelley Berkley’s. It captures a big chunk of Las Vegas, with parts of North Las Vegas, Paradise, Enterprise, and the majority of Spring Valley. At 62.4% Obama, not much has changed, about, only down a point or two. McCarran Airport and the Strip are in this district.



























































































County 2010 Pop Obama McCain Total Obama% McCain%
2nd 670,894 148,278 105,987 259,926 57.06% 40.78%
Carson City 54,952 11,623 11,419 23,680 49.08% 48.22%
Clark 161,041 31,008 9,668 41,413 74.98% 23.38%
Douglas 18,566 4,031 4,894 9,127 44.17% 53.62%
Esmeralda 631 104 303 439 23.69% 69.02%
Lyon 4,809 463 1,223 1,732 26.73% 70.61%
Mineral 4,575 1,082 1,131 2,307 46.90% 49.02%
Nye 3,452 296 469 814 36.36% 57.62%
Washoe 422,868 99,671 76,880 180,414 55.25% 42.61%

This is the new Washoe-Clark district, in green. Starting in Washoe, it goes south, taking in as Lyon and Nye Counties as possible. It also takes in the better part of Douglas County and what it needs to connect to the south (44% Obama compared to 40% in the remainder). This district then goes into Clark County, taking the most Democratic precincts possible (74% Obama), including the majority-African-American parts of North Las Vegas (24% of the Clark part is Black). This district is 63% Washoe and another 24% more Clark, making for a 57% Obama district. This should be winnable for a Democrat, especially one from Washoe/Douglas like Jill Derby (who likely lives in this district, or just a bit outside it).





























County 2010 Pop Obama McCain Total Obama% McCain%
3rd 670,842 120,321 67,581 192,355 62.56% 35.14%
Clark 670,842 120,321 67,581 192,355 62.56% 35.14%

This is Dina Titus’ district, in blue. It retains most of the population of Henderson and other suburbs of Las Vegas, like the vast majority of Sunrise Manor, and Paradise (not including the part with the Strip though). At 62.56% Obama, this is up 7%. This should set this district firmly out of reach for any comeback attempt by Jon Porter (or for any Republican, really).









































































































































County 2010 Pop Obama McCain Total Obama% McCain%
4th 670,832 133,939 164,642 305,560 43.84% 53.89%
Churchill 25,147 3,494 6,832 10,605 32.95% 64.42%
Clark 425,579 98,318 105,326 207,592 47.38% 50.75%
Douglas 26,336 6,641 9,754 16,777 39.58% 58.14%
Elko 48,011 4,541 10,969 16,019 28.35% 68.47%
Eureka 1,775 144 564 745 19.33% 75.70%
Humboldt 18,306 1,909 3,586 5,664 33.70% 63.31%
Lander 5,140 577 1,466 2,102 27.45% 69.74%
Lincoln 5,260 518 1,498 2,107 24.58% 71.10%
Lyon 50,239 7,934 10,927 19,359 40.98% 56.44%
Nye 44,835 6,858 8,958 16,494 41.58% 54.31%
Pershing 6,212 673 1,075 1,836 36.66% 58.55%
Storey 4,638 1,102 1,247 2,418 45.57% 51.57%
White Pine 9,354 1,230 2,440 3,842 32.01% 63.51%

All the Republicans have to go somewhere, and this is where they go. Taking in the remaining parts of Clark County (mostly empty desert except for the western parts of Las Vegas proper), this district grabs most of Nye, Eastern Douglas, and Northern Lyon counties and the remaining counties. Clark does still make up 63% of the district though. Perhaps in a testament to how much Clark County has changed, the Clark part is still 47% Obama. Overall, it’s 43.84% Obama. 4-0 would have been doable, but pushing it, in my mind.

Redistricting North Carolina

(From the diaries – promoted by DavidNYC)

So you all know the drill by now – take some VTDs, consolidate them to reflect updated population stats, then piece them together. I couldn’t think of a witty title today either. Oh well.

My goals for North Carolina were to:

  • strengthen Kissell (8th) and Shuler (11th)
  • draw Foxx (5th) out of her district
  • obey the VRA – that is, a majority-black district for Butterfield (1st) and a majority-minority district for Watt (12th)
  • maintain percentages for the other Democrats: Etheridge (2nd), Price (4th), McIntyre (7th), and Miller (13th)
  • get rid of that touch-point continuity in Guilford County between the 6th (Coble) and the 13th

Update: Many of you have correctly pointed out that NC may be gaining a 14th seat. There’s a plan for that in the works too.

Here’s the new map (yes, everything is contiguous!):

So here are two useful pieces of info that I had:

Here’s average Democratic performance, by consolidated VTD, across 10 contests (US President, US Senate, Governor, Lieutenant Governor, State Treasurer, State Auditor, Commissioners of Agriculture, Insurance, and Labor, and State Superintendent of Education). Average performance in 2008 was 51% Democratic.

Here’s also a map of the minority population of each VTD:

Stats here are: Population, Black Population, Latino Population, Average Democratic and Republican performance, Obama%, McCain%, the number of Democratic and Republican VTDs. SQL is getting angry at me for putting too much data in, so if you want the county breakdown, you’ll have to look here.

So district-by-district:














01 708,845 354,742 22,994 66.73% 32.51% 62.03% 37.50% 260 43

One of the hardest districts I’ve had to draw. The problem is, with NC’s population growth, each district has to contain more people. Additionally, the majority-minority areas of Northeastern NC have also lost population. Thus, the far reaching tentacles that hit so many counties, including Pitt (Greenville), Lenoir (Kinston), Wayne (Goldsboro), Wilson, Nash (Rocky Mount), Beaufort (Washington), and the list goes on. I like to think of this as the Petey Pablo district (listen to ‘Raise Up’ if you have any questions.) As you can see, we barely cross the threshold at 50.04% African-American. Average Democratic performance is 66.7% – Butterfield’s not in any danger. Obama and Hagan underperformed at 62.0% and 64.5% respectively; Bev Perdue crusied here with 69.3%.














02 708,383 203,577 51,146 54.85% 43.96% 51.35% 47.92% 76 50

Bob Etheridge’s district has never been that Democratic on a presidential level – Obama winning was a big surprise – but still quite Democratic on a local level. This district reflects that reality as well, but shifted somewhat further south. Etheridge’s home in Lillington (Harnett County) isn’t moved, and Harnett and Lee Counties remain in this district entirely. A large chunk of Republican leaning Johnston County is cut out in the north, replaced by Anson, Hoke, and Richmond counties along the SC border. Instead of anchoring Democratic performance in Raleigh, an updated 2nd finds its strength in Fayetteville.  Average Democratic performance is 54.9%. Obama got 51.4%, Hagan 54.9% and Perdue 55.0%.














03 709,086 103,074 34,867 41.25% 57.37% 36.01% 63.15% 33 173

This district contains 33 Democratic precincts, which in my mind is 33 too many. However, the 3rd has to accommodate all the parts that would dilute the minority-concentrated 1st district too much, and many of those urban precincts do lean left. This is most evident in Pitt County, where average Democratic performance was 49%. Given the polarized voting often evident in the South though, the rest of this district scores 41.3% overall. Obama severely underperformed, getting 36%.  Hagan and Perdue did better, getting 40% and 47% respectively. This has potential, but it simply isn’t possible to satisfy the VRA and make this district Democratic at the same time.














07 708,733 176,916 29,459 54.74% 43.74% 49.71% 49.46% 128 69

Mike McIntyre’s district is pretty much like Etheridge’s, more Democratic at the local level than nationally. This district stays with Wilmington and Lumberton, along with a part of Fayetteville not in the 2nd. This district really doesn’t change all that much, other than some traded precincts with the 3rd to make this more Democratic. Obama nudged out a win with 49.7%, 5 points below the average of 54.7%. Hagan and Perdue both did well here at 55.4% and 56.4% respectively.














04 709,502 168,493 37,358 59.17% 39.34% 60.65% 38.43% 99 59

David Price, we seem to forget, actually lost in the Republican tide of 1994 before reclaiming his district in 1996. The Triangle, of course, has changed quite a bit since then. This district remains centered on Durham and Chapel Hill (52% of the population), with some Republican-leaning sections of Wake County thrown in for another 22%. This district does expand eastward to grab some rural areas that couldn’t fit into the first 3 districts, but Price need not be concerned. It’s 59% Democratic, but this is one of those districts where Obama overperformed (60.7%). A 60.6% showing for Hagan is a testament to the Democratic nature of this district; Perdue did underperform at 57.1%.














13 708,616 153,464 41,474 57.07% 41.40% 59.86% 39.17% 83 32

Even in the most gerrymandered of states, you still have some examples of compactness. This is this map’s token compact district, if you will. It consists of Wake County only, losing a good chunk of border territory along the Virginia border and an arm into Greensboro (and that touch-point!). It contains all of Raleigh and Cary, along with some suburbs. Another strong Democratic district; average performance is a bit low at 57%, but this is where Obama excelled with 59.9%, an improvement over Brad Miller’s current district, actually.














05 708,588 142,544 30,781 53.80% 44.77% 52.85% 46.21% 130 85

This is the other half of Brad Miller’s district, featuring the Northern border counties – Person, Caswell, Rockingham, and Stokes. That’s not where the population is though, and to compensate, this district has a southern arm that hits parts of Orange, Alamance, Guilford, and Forsyth counties, including significant parts of Greensboro and Winston-Salem not drawn into Mel Watt’s 12th. Virginia Foxx doesn’t even live in this district, and I have a hard time seeing her winning this 53.8% Democratic district. Obama scored a respectable 52.9%, and Perdue 54.0%. Hagan, being from Greensboro, stomped here with 56.4%.














06 708,652 37,671 24,307 33.30% 65.21% 33.11% 65.90% 3 187

All the Republicans in central NC have to go somewhere, and this district is it. I think the packing of Republicans is especially evident, given that there are 3 Democratic precincts out of 190. With the Democrats in Alamance, Guilford, Union, and Mecklenburg drawn into other districts, all the Republicans are left here. At 33.3%, this is the most Republican district in NC on average. Obama scored 33.11%. Hagan did comparatively well at 37.3%, and Perdue absolutely bombed here, netting 29.2%. Sue Myrick may have less incentive to retire now.














12 709,069 306,416 48,281 65.15% 33.77% 65.35% 33.99% 122 58

Mel Watt’s VRA district was significantly easier to draw than Butterfield’s, partially because of the looser requirement. In essence, you have to have the majority-black precincts of Charlotte (Mecklenburg) and the Triad (Greensboro, High Point, and Winston-Salem) along with some connecting precincts. Much like the current 12th, I chose to run this district through Cabarrus, Rowan and Davidson Counties, roughly paralleling I-85. New is an arm into Statesville in Iredell County. In the interest of leaving more high-performing Democratic precincts for the 5th and 8th districts, this district also barely makes the cut at 50.02% minority. Watt’s still in no danger though, at 65.2% Democratic, 65.4% Obama, 66.7% Hagan, and 61.9% Perdue.














08 708,785 163,472 55,333 57.16% 41.60% 58.96% 40.24% 99 58

Larry Kissell gets a significant boost out of this district, though it becomes much more Charlotte-centric. His home in Montgomery County remains, although with a connecting strip through Stanly and Union counties into Mecklenburg. 72.6% of this district is now in Mecklenburg County, which is nice for Kissell since this district’s part of Charlotte was on average 63.3% Democratic (Obama did better at 66.3%). Overall, this makes for a 57.2% Democratic district; Obama did better at 59.0% and Hagan better still at 59.7%. Even Bev Perdue, who underperformed heavily in Charlotte (where Pat McCrory is Mayor) won, eking out a 400-vote win. This, I think, is a testament to the Democratic nature of this district, which should be safe for Kissell.














09 708,310 32,978 22,045 35.74% 62.55% 32.14% 66.53% 14 250

This district sets the stage for a Foxx-Coble showdown. I know the core of Coble’s district is actually in the new 6th, but Sue Myrick lives in the Mecklenburg part. Coble also lives in the Guilford part of this district. Funny how that works. (Foxx lives in the Avery County section.) More of this district is Foxx’s, but Coble’s also actually sane. I’ll leave you to decide how a primary between the two works out. The college town of Boone (Appalachian State) is removed, replaced by an arm into the Republican sections of Greensboro and Alamance County. Again, packing Republicans is at work here, with 14 out of 264 precincts being Democratic for an average of 35.8%. Obama got 32.1% (this is Appalachia, after all); Hagan 38.2%, and Perdue 36.9%.














10 708,675 50,090 26,779 37.10% 61.41% 35.10% 63.89% 15 162

Patrick McHenry’s district doesn’t change too much – he and Heath Shuler trade some precincts in the South to make Shuler’s district more Democratic by removing the vast majority of Republican Henderson County. I had originally wanted to draw a good district for 2008 candidate Daniel Johnson, but another Democratic district in Western NC was simply unrealistic. 15 out of 177 precincts are Democratic, leaving it at 37.1% Democratic, 35.1% Obama, 39.6% Hagan, and 33.0% Perdue.














11 708,808 62,133 17,174 52.09% 46.21% 48.89% 49.78% 120 127

I really tried to get Heath Shuler a district that Obama won, but it simply wasn’t possible without the district hitting Charlotte. Thus, we’re left with an Asheville-centered district that takes all of WNC to the west, and then sprouts two arms. One arm reaches northeast to grab Boone, and the other goes sawtooth along the SC border to get Forest City (Rutherford County), Shelby (Columbus), and finally, Gastonia (Gaston). This makes a 52.1% Democratic district, with Hagan and Perdue overperforming at 52.7% and 52.4% each. Obama came closer, falling 3,000 votes or 0.9% short, at 48.9%.

And there you have it, a 9-4 map of North Carolina. Without the VRA, it would be possible to squeeze at least one more Democrat out, but you can’t have everything. Questions, comments, and witty remarks about what these districts actually look like welcome.

By what margin will Bob Shamansky win?

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We’ve Got Crabs! (or, Redistricting Maryland)

(From the diaries – promoted by DavidNYC)

None of you asked for Maryland, but I wanted to redraw a state in which I couldn’t use townships and incorporated municipalities as a crutch. Four of Maryland’s five largest communities are unincorporated – Columbia, Silver Spring, Ellicott City and Germantown.

Plus, having lived in Maryland for quite awhile, I wanted to do a state that I actually had a local feel for. Lastly, Democrats control both the General Assembly and the Governorship, so no quips about this map being “unrealistic”!

I apologize for the title ahead of time – I’ve seen tourist gear with that slogan one too many times flying out of BWI….

My goals:

  • Strengthen Kratovil (1st)

  • Pack Republicans into Bartlett (6th)

  • Keep all other Democrats at their previous levels or 65%, whichever is lower.

(When you have this many Democrats to protect….)

Anyways, here’s the map (click for full-size version):

Update: I realized I mis-merged some shapes in my GIS and this lead to a misrepresentation of the 1st and 5th in Anne Arundel County. Fixed.

So normally, there’d be a nice map of the state broken up by municipalities and colored in based on McCain/Obama performance. In Maryland, this was harder: I consolidated precincts to match up with Census 2000’s voting tabulation districts (VTDs). Sometimes, in cases where precincts changed significantly, I consolidated some VTDs, too. I’ve creatively named these consolidated VTDs “CVTDs”.

Also, tabulating data by CVTD is a pain in the ass. Seriously. So I only created CVTDs for counties that had a chance of being split. So here’s the map, colored by CVTD for some counties (I wasn’t going to split Calvert, St. Mary’s, the Eastern Shore, or the Panhandle).

District-by-district, here goes (numbers are: Population, Voters, %African American, Obama%, McCain%):













































































































1 662,203 357,190 26.89% 56.48% 42.11%
Anne Arundel 117,748 65,392 20.21% 56.33% 41.93%
Caroline 29,772 13,218 14.77% 37.61% 60.64%
Cecil 85,951 42,494 3.91% 41.57% 56.14%
Dorchester 30,674 15,274 28.39% 45.25% 53.48%
Kent 19,197 10,020 17.41% 49.43% 48.95%
Prince George’s 148,552 87,295 59.27% 88.42% 10.86%
Queen Anne’s 40,563 24,045 8.78% 35.66% 62.74%
Somerset 24,747 9,924 41.10% 48.16% 50.76%
Talbot 33,812 20,328 15.36% 44.45% 54.09%
Wicomico 84,644 41,854 23.29% 46.44% 52.20%
Worcester 46,543 27,346 16.66% 41.59% 57.07%

This is the district we were all wondering about, Frank Kratovil’s 1st. Before, the 1st took in all of the Eastern Shore, a chunk each of Anne Arundel, Harford, and Baltimore counties. Those parts were absolutely brutal, so I removed the the BaltCo (35% Obama)/Harford (33% Obama) parts completely. Additionally, instead of taking in the Republican pats along the North Shore, the district runs through the city of Annapolis proper and into PG County. Yes, the district reaches across the bay, but the old district did this too. Plus now, I can use the Bay Bridge as an excuse, as both ascents to the bridge are in this district now. Obama lost the AA part of the district 39-59, but he won the reconfigured part of Anne Arundel 56-42. We weren’t going to more artfully draw Baltimore, so for Democratic strength, the new 1st looks to Prince George’s County – Obama’s 88-11 performance there anchors this district. Overall, Obama scored 56% here – up a whopping 16%.





































2 662,315 309,805 25.58% 60.34% 37.71%
Baltimore 419,630 204,167 21.76% 57.30% 40.74%
Baltimore City 143,321 56,010 42.46% 79.02% 19.26%
Harford 99,364 49,628 17.36% 51.75% 46.08%

Dutch Ruppersberger’s district doesn’t change much – still the southern half of Harford, an arm across Northern BaltCo, and a section of the city. However, there’s no awkward arm across the Patapsco into Anne Arundel this time. The Harford section is a tad less Democratic, the BaltCo section a bit more, and Baltimore City a bit less. However, the removal of Anne Arundel bumps this district to 60%, up about 0.5%.














































3 662,016 356,350 18.53% 60.69% 37.37%
Anne Arundel 108,683 57,529 17.90% 50.80% 47.30%
Baltimore 239,472 126,645 22.89% 61.92% 35.97%
Baltimore City 74,391 32,258 17.57% 72.34% 25.89%
Howard 239,470 139,918 14.76% 60.95% 37.20%

Surprisingly, I think this incarnation of the 3rd is less gerrymandered than before – there’s no one-block wide sliver connecting to distinct sections. The major change from before is the placement of almost all of Howard County into this district, which had been located mostly in the 7th. Instead of making a westward facing loop through Baltimore as before to hit Towson, this district makes an eastward facing U. Obama got 61%, up 2% from before.




























4 661,820 293,331 51.60% 82.43% 16.65%
Montgomery 309,396 153,066 22.75% 71.41% 27.28%
Prince George’s 352,424 140,265 76.92% 94.46% 5.06%

Donna Edwards’ district also isn’t changed much. A large section of upcounty MontCo and Prince George’s along the DC line. With the 8th shifted northward, the 4th is a bit more Montgomery-heavy, but stays majority African-American. This shift drops Obama’s performance by about 3%, but this is still the most Democratic district in Maryland at 82%.























































5 661,222 352,347 30.44% 64.23% 34.51%
Anne Arundel 79,363 47,288 5.90% 43.67% 54.55%
Calvert 74,563 44,057 13.11% 46.07% 52.42%
Charles 120,546 70,127 26.06% 62.22% 36.69%
Prince George’s 300,539 146,466 47.72% 83.78% 15.20%
St. Mary’s 86,211 44,409 13.92% 42.84% 55.63%

Steny Hoyer’s district, again, experiences some minor shifts. It still contains all of the Southern Maryland trifecta of Charles, Calvert, and St. Mary’s. I had thought about cracking Charles to tap its population growth and Democratic trend, but ultimately decided against it. A large chunk of PG is taken by the 1st, so this district expands farther into Anne Arundel. At 64%, this is about a 1% drop.


















































































6 663,091 354,947 3.61% 35.44% 62.22%
Allegany 74,930 29,742 5.35% 35.95% 61.88%
Baltimore 50,784 32,008 1.36% 32.03% 65.08%
Carroll 150,897 84,760 2.28% 33.11% 64.30%
Frederick 97,113 54,983 2.06% 40.21% 57.86%
Garrett 29,846 12,872 0.43% 29.02% 69.17%
Harford 119,226 73,667 2.53% 31.04% 66.35%
Howard 8,372 5,315 4.60% 34.51% 63.03%
Washington 131,923 61,600 7.77% 42.61% 55.47%

We took some Republicans out of the 1st, 2nd, and 3rd districts, and this is where they go. I cut out Democratic-trending and sububanizing southern Frederick County and just packed as many deep-red VTDs in here as possible from Harford and northern Baltimore County. The Panhandle and Carroll County remain in their entirety. This drops Dem performance to 35%, down 5%.





































7 661,710 265,229 55.65% 72.99% 25.62%
Anne Arundel 183,862 89,411 10.02% 42.84% 55.09%
Baltimore 44,406 18,118 10.72% 46.90% 50.51%
Baltimore City 433,442 157,700 79.60% 93.08% 6.05%

Before, this district took in a large chunk of Howard County, before reaching into Western BaltCo and West Baltimore. We took the extremely Republican parts of Anne Arundel County out of the 1st, and this was the safest place to deposit them. The anchor of the district stays Baltimore City, which also maintains the 56% African-American composition of the district. At 73% Obama, this is a drop-off of 6%, but again, no cause for concern.




























8 662,109 342,398 10.92% 69.23% 29.27%
Frederick 98,164 56,203 10.62% 56.77% 41.56%
Montgomery 563,945 286,195 10.97% 71.68% 26.85%

It was tempting to make this district solely Montgomery County, but that’d well, be too clean. (It’d also abandon some strong Democratic votes in Frederick City.) Thus, this takes a bite out of Southern Frederick along 270, and then takes in the western half of Montgomery County and ventures east into Silver Spring. Frederick is nowhere as Democratic as downcounty Montgomery County, resulting in a 5% drop in Obama’s performance to 69%. Even if Frederick’s shift was a one-time thing for Obama, the vast majority of the district is still in Montgomery County.

So I’m pretty sure my map of Maryland is not only better – resulting an improvement for the three most marginal Democratic districts and negligible drops in the other 4 Democratic districts – but less gerrymandered, I dare say. Questions, comments, witty descriptors for what the districts look like, and suggestions always welcome.

Jurassic Park IV, or Redistricting Pennsylvania

(From the diaries with minor edits – promoted by DavidNYC)

As I’d promised in my diary on New Jersey, Pennsylvania would be the next state I’d tackle. This would  have been done a lot sooner, but those things called work and exams kind of got in the way….

My goal, flat out, was to carve more Democratic districts. I’m all for compactness when it comes to suitcases and mp3’s, but not when I’m gerrymandering states. Again, I kept Democratic Congresscritters in their homes.

Unlike New Jersey though, Pennsylvania is probably maxed-out when it comes to Democrats (save Gerlach and Dent, whose districts are certainly Democratic.) Pennsylvania is also losing one seat (most likely) in 2010, so I drew 18 seats on 2008 population estimates. I didn’t “merge” two districts per se, but more like took the 16th, 17th, and 19th and produced two districts from them.

I had the following goals in mind:

  • Dislodge Gerlach (6th) and Dent (15th) by increasing Democratic performance in their districts.

  • Give Dahlkemper (3rd), Altmire (4th), Murtha (12th), and Holden (17th) more favorable territory. They represent McCain districts now, I wanted to change those to Obama districts.

  • Maintain strength for Sestak (7th), Patrick Murphy (8th), Kanjorski (11th), and Schwartz (13th). They have decently strongly Democratic districts, which I wanted to maintain at their current levels.

  • Keep Brady (1st), Fattah (2nd), and Doyle (14th) in strongly Democratic districts, but perhaps not as absurdly strong as before. Obama scored 88%, 90%, and 70% respectively, I felt this could afford to be lowered somewhat. A corollary to this goal is keeping Fattah’s district majority Black. I didn’t bother with Brady’s currently plurality Black district, though it may still be.

Here’s the new map (click for full-size version):

Much more below the flip.

Again, to start, I used this map of Obama’s performance across the state, by municipality. As before, lightest shade is a margin of less than 5%, then 5 to 15, 15 to 25, 25 to 35, and the new uber-dark, which is a margin of 35+.

Going district by district, here’s what we’ve got. As a sidenote, I didn’t bother renumbering districts to make sense (which they don’t right now). I think it’s easier to keep core areas the same when numbering, since I think most of us automatically relate, for example, “PA-14” to Pittsburgh.

Summary statistics are: County, Population, Obama Votes, McCain Votes, Total Votes, Obama%, McCain%.

I’m going to go Northwest to Southeast, as opposed to in order by non-sensical district number. I think that makes the most sense.














































































































































3 689,046 169,632 139,373 314,100 54.01% 44.37%
Cameron 5,974 879 1,323 2,257 38.95% 58.62%
Centre 96,991 33,113 21,090 55,022 60.18% 38.33%
Clarion 11,906 2,701 2,626 5,432 49.72% 48.34%
Clearfield 38,795 7,372 7,835 15,582 47.31% 50.28%
Clinton 27,232 5,557 5,070 10,767 51.61% 47.09%
Crawford 88,880 16,780 20,750 38,134 44.00% 54.41%
Elk 32,914 7,290 6,676 14,361 50.76% 46.49%
Erie 279,255 75,775 50,351 127,691 59.34% 39.43%
Forest 4,946 1,038 1,366 2,468 42.06% 55.35%
McKean 20,003 3,579 3,628 7,370 48.56% 49.23%
Mercer 16,892 2,842 4,191 7,184 39.56% 58.34%
Venango 24,009 4,169 4,782 9,169 45.47% 52.15%
Warren 41,249 8,537 9,685 18,663 45.74% 51.89%

Sad to say, this district probably isn’t much more gerrymandered than its current counterpart. It contains the entirety of Erie and Crawford counties in the northwest, and starts a slow march towards State College. I’d hate to leave those Democratic votes behind, and plus they’re a good way to shore up Dahlkemper’s district, which Obama lost by 17 votes. It takes in the Democratic parts of Centre and Clinton counties on the east end, with some arms into Clarion and Venango. I’d like to think I succeeded, since Obama scored 45% in the 3rd’s part of Venango and 50% in Clarion, compared to 35% and 33% in the parts not in the 3rd. All in all, a 54% Obama district – a 6% increase from its current form.




















































4 689,397 182,724 168,763 356,152 51.31% 47.39%
Allegheny 389,960 110,152 102,177 214,148 51.44% 47.71%
Beaver 149,042 36,109 35,781 73,326 49.24% 48.80%
Lawrence 75,681 17,041 16,670 34,362 49.59% 48.51%
Mercer 74,714 19,422 14,135 34,316 56.60% 41.19%

Altmire is pretty much in the same boat as Dahlkemper, except with a district that Obama lost 44-55. There’s no need to complicate this by including any parts of Butler County, so this district sticks along the Ohio, Beaver, and Shenango Rivers up from Pittsburgh (but not including) to Sharon, through Allegheny, Beaver, Lawrence, and Mercer counties. It’s a point of pride for me that Obama won each county component. Specifically in Allegheny County, Altmire swaps out a bunch of Republican northern suburbs for friendlier stuff east of the city, notably Monroeville and Penn Hills. Obama scored 44% in the Allegheny portion of the old 4th, compard to 51% here. If Altmire didn’t live in Republican-leaning McCandless, there could have perhaps been more improvement. Anyways, this works out to a 51% Obama district – an improvement of 7%.




























































































18 689,231 136,738 218,177 359,372 38.05% 60.71%
Allegheny 127,747 30,252 41,789 72,634 41.65% 57.53%
Beaver 24,444 4,390 7,114 11,706 37.50% 60.77%
Butler 181,082 32,260 57,074 90,761 35.54% 62.88%
Greene 13,925 2,072 2,748 4,892 42.35% 56.17%
Lawrence 16,216 2,670 5,181 7,987 33.43% 64.87%
Mercer 25,909 4,147 8,239 12,668 32.74% 65.04%
Washington 82,349 18,019 27,503 46,141 39.05% 59.61%
Westmoreland 217,559 42,928 68,529 112,583 38.13% 60.87%

This district is what happens when you try to strip all the Republican territory out of the 3rd, 4th, and 12th districts and pack it together. Butler County has no place in a Democratic district, nor does the large chunk of Westmoreland County which is quickly trending away from us. Throw in some the northern Pittsburgh suburbs stripped out of Altmire’s district and the core of Tim Murphy’s old district, and you get this 38% – an 8% drop in Democratic performance.






















14 688,540 227,685 124,055 355,158 64.11% 34.93%
Allegheny 688,540 227,685 124,055 355,158 64.11% 34.93%

The 14th doesn’t change much – it keeps the entirety of the city of Pittsburgh and suburbs to the east like Swissvale and Doyle’s home in Forest Hills. Instead of reaching southwest, the new 14th looks south to the southern Pittsburgh suburbs like Upper St. Clair and Bethel Park. Arguably, this district is actually more compact than the current 14th. No worries for Mike F. Doyle though, since Obama still won 55% in the non-Pittsburgh part of the district.  Combine that with the 75% Obama scored in the city, and you get a 64% Democratic district, a drop of 6%.






































































































12 689,579 146,095 143,358 294,030 49.69% 48.76%
Allegheny 19,931 4,385 3,865 8,347 52.53% 46.30%
Armstrong 26,485 5,114 6,186 11,454 44.65% 54.01%
Cambria 131,716 29,955 28,623 59,705 50.17% 47.94%
Fayette 135,292 24,805 23,726 49,108 50.51% 48.31%
Greene 25,794 5,757 5,141 11,084 51.94% 46.38%
Indiana 55,368 12,477 12,254 25,068 49.77% 48.88%
Somerset 26,108 5,709 6,599 12,656 45.11% 52.14%
Washington 122,958 28,100 23,199 52,318 53.71% 44.34%
Westmoreland 145,927 29,793 33,765 64,290 46.34% 52.52%

It’s no secret Obama didn’t do all that hot in Southwest PA, and it’s painfully obvious here. Kerry won the old 12th, which Obama lost by about 1,000 votes. Trying to create an Obama district required some creative districting and ends up being more like connect-the-dots between traditionally Democratic Fayette and Greene counties, Johnstown (Murtha’s residence), Washington, the college town of Indiana, and Lower Burrell in Westmoreland. The old 12th pretty much packed all the Democratic votes in the area, so the increased population requirement really made me stretch. I think again, I have a strong case for this being more compact than the old 12th. Either way, it’s a slight improvement to a district Obama won by 3,000 votes, an improvement of 0.5%.












































































































































































9 689,087 102,284 191,267 298,149 34.31% 64.15%
Adams 5,926 1,018 1,671 2,739 37.17% 61.01%
Armstrong 42,940 6,024 12,356 18,627 32.34% 66.33%
Bedford 49,650 6,059 16,124 22,508 26.92% 71.64%
Blair 125,593 19,813 32,708 53,298 37.17% 61.37%
Cambria 14,271 2,496 3,372 5,965 41.84% 56.53%
Clarion 28,186 4,045 8,111 12,435 32.53% 65.23%
Clearfield 33,268 5,672 8,599 14,588 38.88% 58.95%
Cumberland 19,402 3,428 4,426 7,976 42.98% 55.49%
Fayette 9,667 1,090 2,054 3,172 34.36% 64.75%
Franklin 139,459 21,169 41,906 63,641 33.26% 65.85%
Fulton 14,261 1,576 4,642 6,306 24.99% 73.61%
Huntingdon 45,552 6,621 11,745 18,730 35.35% 62.71%
Indiana 32,520 4,588 7,473 12,236 37.50% 61.07%
Jefferson 45,151 6,447 12,057 18,904 34.10% 63.78%
Somerset 52,087 7,169 15,087 22,712 31.56% 66.43%
Venango 31,154 5,069 8,936 14,312 35.42% 62.44%

Moving into the ‘T’ now, this is the first of two extremely Republican districts. Arguably, there are two population centers, one in Altoona in Blair County and the other in Chambersburg in Franklin. From there, it moves northwest, picking up the parts of Somerset, Cambria, Indiana, and Armstrong not packed into Murtha’s 12th, and then the parts of Venango and Clarion not in Dahlkemper’s 3rd. At 34% Obama, this is the most Republican district in Pennsylvania and a 1% drop from the current 9th.










































































































































































































5 689,043 114,992 195,836 315,767 36.42% 62.02%
Berks 9,899 993 2,312 3,366 29.50% 68.69%
Centre 46,567 8,837 11,902 21,089 41.90% 56.44%
Clearfield 9,696 1,511 2,228 3,839 39.36% 58.04%
Clinton 10,002 1,540 2,434 4,024 38.27% 60.49%
Cumberland 199,164 43,028 57,531 102,130 42.13% 56.33%
Dauphin 43,419 8,423 15,149 23,834 35.34% 63.56%
Juniata 23,163 3,068 6,484 9,819 31.25% 66.04%
Lebanon 53,875 9,202 16,904 26,528 34.69% 63.72%
Lycoming 49,426 7,076 15,691 23,131 30.59% 67.84%
McKean 23,852 2,886 5,596 8,645 33.38% 64.73%
Mifflin 46,609 5,375 10,929 16,502 32.57% 66.23%
Montour 3,868 590 1,167 1,771 33.31% 65.89%
Northumberland 22,909 3,245 6,360 9,734 33.34% 65.34%
Perry 44,850 6,396 13,058 19,745 32.39% 66.13%
Potter 18,080 2,300 5,109 7,583 30.33% 67.37%
Schuylkill 10,533 1,776 3,294 5,139 34.56% 64.10%
Snyder 23,134 2,499 6,442 9,069 27.56% 71.03%
Tioga 24,641 3,610 7,527 11,305 31.93% 66.58%
Union 25,356 2,637 5,719 8,514 30.97% 67.17%

The is the other Republican district taking in a large chunk of the T. More packing of Republicans here, as this district on the east side swaps many tentacles with Chris Carney’s new 10th district. Any pockets of even-remotely Democratic friendliness are pulled out, including Williamsport and Sunbury. What’s left is expansive Republican space, centered in Cumberland County moving north towards the Northern Tier. At 36% Obama, this is a drop of 8%.
































































































































































































10 688,967 134,946 156,456 296,409 45.53% 52.78%
Berks 8,704 1,724 2,167 3,995 43.15% 54.24%
Bradford 61,626 10,306 15,057 25,884 39.82% 58.17%
Columbia 64,663 13,019 14,255 27,838 46.77% 51.21%
Dauphin 5,728 823 1,231 2,073 39.70% 59.38%
Lackawanna 44,778 13,784 10,806 24,913 55.33% 43.37%
Luzerne 11,637 2,044 3,020 5,153 39.67% 58.61%
Lycoming 67,880 11,305 14,589 26,316 42.96% 55.44%
Montour 14,368 2,757 3,388 6,216 44.35% 54.50%
Northumberland 68,307 11,083 12,655 24,201 45.80% 52.29%
Pike 57,102 11,493 12,519 24,285 47.33% 51.55%
Schuylkill 108,170 20,758 23,247 44,766 46.37% 51.93%
Snyder 14,849 2,883 3,458 6,410 44.98% 53.95%
Sullivan 6,556 1,233 1,841 3,131 39.38% 58.80%
Susquehanna 41,388 8,381 10,633 19,383 43.24% 54.86%
Tioga 16,194 2,780 3,799 6,679 41.62% 56.88%
Union 17,997 4,696 4,140 8,961 52.40% 46.20%
Wayne 51,139 9,892 12,702 22,932 43.14% 55.39%
Wyoming 27,881 5,985 6,949 13,273 45.09% 52.35%

You can’t win all of them, and this is the one district that wasn’t to my liking. I really wanted to protect Carney a bit more, but the territory simply wasn’t there to do that and protect the Democratic strength of Kanjorski’s 11th. I chose to hedge a bit and to keep the 11th strongly Democratic. It might be a waste to protect Kanjorski like that, but he’s got to retire eventually and we can definitely get a good Democrat out of Scranton. Thus, this district starts in Wayne and Pike counties, before moving through Susquehanna (Carney lives in Dimock) and northern Lackawanna counties. Lycoming County outside of Williamsport is stripped out as much as possible, and it gains Columbia County and a large chunk of Schuylkill County freed up from Holden’s 17th. Surprisingly, I still managed a gain of 0.5% to 45.5% Obama. Carney should be fine here regardless.




















































11 689,582 177,101 128,039 309,934 57.14% 41.31%
Carbon 62,326 13,464 12,957 27,050 49.77% 47.90%
Lackawanna 164,442 53,736 28,682 83,626 64.26% 34.30%
Luzerne 300,203 70,448 58,107 130,815 53.85% 44.42%
Monroe 162,611 39,453 28,293 68,443 57.64% 41.34%

Kanjorski was probably saved in 2008 by Obama’s coattails, and shoring up the 11th was one of my major goals. Surprisingly, this actually becomes more compact, too, it seems. What we get is a district centered on the Lackawanna Valley. 43% of this district is Wilkes-Barre and Luzerne County, and another 23% each for Scranton/Lackawanna County and Monroe County. All in all, a 57% Obama district, up 0.3% from the old 11th. Also a rare victory for compactness.


















































































17 689,314 176,601 148,808 329,673 53.57% 45.14%
Berks 52,440 11,062 13,461 24,959 44.32% 53.93%
Cumberland 6,969 1,850 1,782 3,719 49.74% 47.92%
Dauphin 199,854 59,866 40,264 101,138 59.19% 39.81%
Lancaster 229,139 60,406 52,477 114,386 52.81% 45.88%
Lebanon 72,551 14,108 17,410 32,035 44.04% 54.35%
Schuylkill 28,135 5,938 7,418 13,522 43.91% 54.86%
York 100,226 23,371 15,996 39,914 58.55% 40.08%

Connect the dots version 2.0 here, as we string together the cities of York, Harrisburg, Lancaster, and Tim Holden’s home in St. Clair in Schuylkill County, all of which are strongly Democratic. They’re counterbalanced by the Republican outlying portions of York, Dauphin, and Lancaster counties, though. However, 59% Obama performances in the 17th’s parts of Dauphin and York and a 53% showing in Lancaster anchor this 54% Obama district on balance, an improvement of 6% from the current 17th.








































































16 688,715 118,510 197,429 320,910 36.93% 61.52%
Adams 93,986 16,615 24,678 41,924 39.63% 58.86%
Berks 9,821 2,245 3,260 5,596 40.12% 58.26%
Chester 1,059 243 552 806 30.15% 68.49%
Dauphin 5,275 759 1,576 2,362 32.13% 66.72%
Lancaster 264,774 39,180 74,091 114,863 34.11% 64.50%
York 313,800 59,468 93,272 155,359 38.28% 60.04%

This is what remains of the old 16th and 19th districts once the Democratic cities are stripped out. There’s really not much to say about this district based in York and Lancaster, except that it’s the last “Republican” district we have to talk about, it only gets better from here. At 37% Obama, it’s a drop of 6% from the old 19th and 10% from the old 16th – which was intentional, of course.










































15 688,754 177,367 136,903 318,961 55.61% 42.92%
Berks 65,559 15,023 14,970 30,535 49.20% 49.03%
Lehigh 333,423 87,089 63,382 152,473 57.12% 41.57%
Northampton 289,772 75,255 58,551 135,953 55.35% 43.07%

Starting with the Lehigh Valley, the 15th continues to have the entirety of Northampton County. Lehigh County did have a bite taken out of it by the old pterodactyl of the 6th, but the Lehigh in its entirety stays here too. Instead of reaching into MontCo with two rods hugging the MontCo-Berks and MontCo-BucksCo line, it goes for Bucks County instead. At 56% Obama, this is a slight improvement. Charlie Dent should be gone as soon as we get a good challenger anyway.

Southeast PA is definitely (in my mind, anyway), the coup de grace of this map. Here’s an inset of that:

Each district is colored by county component: all greens are the 6th or 8th, blues are the 7th or 13th, red is the 1st, and yellow is the 2nd.

First, the boring stuff (i.e. the 1st and 2nd):
































1 689,174 266,010 78,010 347,098 76.64% 22.47%
Delaware 208,267 65,596 42,719 109,675 59.81% 38.95%
Philadelphia 480,907 200,414 35,291 237,423 84.41% 14.86%

Bob Brady’s district remains anchored in South Philly with an arm into Delaware County. The composition of this arm, however, is significantly different. Brady swaps with Sestak some cities (notably strongly-Democratic Chester city) for some Republican leaning parts of the Main Line. Brady’s old 1st had a 89% Democratic section of DelCo, the new 1st has a 60% Democratic section. This lowers Democratic performance by about 11%, down to 77%. Brady need not be concerned.






















2 688,659 303,286 34,983 339,990 89.20% 10.29%
Philadelphia 688,659 303,286 34,983 339,990 89.20% 10.29%

No significant changes for Chaka Fattah. His district still contains most of West Philly. Cheltenham in MontCo is removed, substituted for an arm into Northeast Philly. The changes aren’t all that significant, the district is only down 0.85% in Obama performance.










































8 686,233 199,224 162,328 365,625 54.49% 44.40%
Bucks 619,093 179,031 150,248 332,924 53.78% 45.13%
Montgomery 27,576 7,460 5,533 13,168 56.65% 42.02%
Philadelphia 39,564 12,733 6,547 19,533 65.19% 33.52%

Consistent with tradition, Bucks County remains in the 8th in its entirety. The old 8th had an odd-looking protrusion into MontCo (where Obama got 63%), and took a section of Northeast Philly where Obama barely edged McCain with 49%. We flip the roles here, instead taking Wards 41 and 65 of the city, where Obama got 65%. We also take a few municipalities (funnily, Hatfield Twp, Hatfield Boro, and Hatboro Boro) in MontCo, where Obama got 57%. Overall, Obama got 54.5%, up 0.5%.
































13 688,902 224,312 140,834 368,302 60.90% 38.24%
Montgomery 443,652 144,765 100,434 247,223 58.56% 40.62%
Philadelphia 245,250 79,547 40,400 121,079 65.70% 33.37%

The 13th remains a MontCo-Philly hybrid. It takes in more of MontCo now, consistent with the increased population constraint, reaching all the way to the Berks County Line. Instead of reaching through the city, the new 13th no longer touches the Delaware River, stopping short by grabbing Northeast Philly taken from the 8th. Centered in Abingdon (it’s the largest municipality), the new 13th’s section of MontCo is 59% Obama, up from 57%, and the new 13th’s section of Philly is 66% Obama, up from 60%. Together, this makes for a 61% Obama district, up from 58%.










































7 689,283 219,653 154,096 377,651 58.16% 40.80%
Chester 211,997 66,693 57,071 125,146 53.29% 45.60%
Delaware 345,246 113,274 72,554 187,835 60.31% 38.63%
Montgomery 132,040 39,686 24,471 64,670 61.37% 37.84%

The new 7th stays composed of ChesCo, DelCo, and MontCo. Since more of DelCo is given to Brady’s 1st, this district becomes more Chester County heavy, reaching further north and west into the county. It, incidentally, takes Jim Gerlach’s home in West Pikeland Township here. Even so, the new ChesCo portion is 53% Obama, up from 50%. The DelCo section gets a healthy boost from the city of Chester while keeping in Radnor, Haverford, and Upper Darby along the Main Line. The New DelCo section is 60% Obama, up from 56%. The MontCo part remains mostly the same, taking in Norristown, Upper Merion, and Lower and Upper Providence Townships. Combined, this is a 58% Obama district, up 2.5%.










































6 688,652 198,024 136,472 338,576 58.49% 40.31%
Berks 251,731 66,000 44,343 112,060 58.90% 39.57%
Chester 265,765 70,897 56,798 129,300 54.83% 43.93%
Montgomery 171,156 61,127 35,331 97,216 62.88% 36.34%

My favorite district. The pterodactyl is back (hence the title, get it?), and it’s leaner and meaner (to Republicans, anyway). The body remains majority Chester, but it swaps out a large swath of eastern ChesCo for townships along the Lancaster County line freed up from the 16th. It still, however, keeps Democratic centers in Downington and Coatesville, and adds West Chester proper, which was gerrymandered into the 16th before. Obama performed roughly the same in the old and new Chester part.

As before, the left wing reaches into Berks County, but before, Reading was cracked three ways between the 6th, 16th, and 17th. Now, Reading and its 81% Obama goodness are kept whole in this district, raising Obama’s performance in Berks from 54% to 59%. The right arm is still my favorite. Originally, Republicans conceived of this as a way to crack MontCo into two Republican (PA-06, PA-07) and one swing district (PA-13). This is best termed, I think, an EPIC FAIL. The old right arm was 64% Obama, and this new version is 63%. I maintained the anchor in Lower Merion Township and Narberth, since their combined 71% Obama goodness is just too good to give up. Combined, this raises Obama’s performance here by another 1% to 58.5%.

So there you have it, a new, 18-seat map for Pennsylvania. Comments? Questions? Which state should I do next? Please share what you think the districts look like, also!