Crowdsourcing Pres-by-CD: Third Wave of Results

The elves were busy while I was taking Christmas off, and now that I’ve picked the crowdsourcing project back up, we’ve made another big jump, taking us to the point of having presidential election results for 3/4s of all congressional districts.

Results from the first wave are here, and results from the second wave are here. If you want to see all results in one place, they’re permalinked here. Also, please check out our master database; although we’ve made a lot of headway, there’s still plenty to do if you have access to precinct-level data (however, the remaining states are the ones that tend to be most coy about releasing precinct-level data, so those remaining districts may never see daylight until Polidata somehow solves those enigmas).

District Obama # McCain # Other # 2008 % 2004 % 2000 %
CA-01 199,835 96,530 8,264 65.6/31.7 60/38 52/39
CA-02 125,291 161,636 7,041 42.6/55.0 37/62 33/61
CA-03 165,617 164,025 6,440 49.3/48.8 41/58 41/55
CA-04 167,604 206,385 8,368 43.8/54.0 37/61 36/59
CA-05 165,776 67,625 4,709 69.6/28.4 61/38 60/35
CA-06 253,087 73,345 6,802 76.0/22.0 70/28 62/30
CA-07 179,037 66,272 5,450 71.4/26.4 67/32 66/31
CA-08 266,210 38,665 7,519 85.2/12.4 85/14 77/15
CA-09 260,662 29,186 5,919 88.1/9.9 86/13 79/13
CA-10 204,138 104,624 6,972 64.7/33.1 59/40 55/41
CA-12 214,850 69,029 5,213 74.3/23.9 72/27 67/29
CA-13 175,838 56,299 4,270 74.4/23.8 71/28 67/30
CA-17 171,180 61,163 4,932 72.1/25.8 66/33 60/33
CA-22 110,910 172,792 5,879 38.3/59.7 31/68 33/64
CA-25 134,222 131,201 6,010 49.5/48.3 40/59 42/56
CA-26 149,249 137,329 5,885 51.0/47.0 44/55 44/53
CA-27 157,100 75,286 5,219 66.1/31.7 59/39 60/36
CA-28 147,958 42,815 3,492 76.2/22.0 71/28 73/24
CA-29 159,947 71,860 4,840 67.6/30.4 61/37 58/38
CA-30 242,022 95,869 5,710 70.4/27.9 66/33 68/28
CA-31 113,941 25,441 3,280 79.9/18.3 77/22 77/19
CA-32 119,726 52,356 3,557 68.2/29.8 62/37 67/31
CA-33 205,470 27,672 3,539 86.8/11.7 83/16 83/14
CA-34 106,695 33,056 3,023 74.7/23.2 69/30 72/26
CA-35 165,761 27,789 2,923 84.4/14.1 79/20 82/17
CA-36 176,924 92,105 5,754 64.4/33.5 59/40 57/39
CA-37 157,219 36,940 3,388 79.6/18.7 74/25 76/22
CA-38 130,092 48,599 3,846 71.3/26.6 65/34 70/28
CA-39 128,579 63,680 4,117 65.5/32.4 59/40 62/36
CA-40 114,025 125,066 5,456 46.6/51.1 39/60 41/56
CA-41 119,255 147,982 5,890 43.7/54.2 37/62 41/56
CA-42 128,474 152,256 5,529 44.9/53.2 37/62 39/59
CA-43 112,020 49,594 3,216 68.0/30.1 58/41 64/34
CA-44 133,535 131,003 5,169 49.5/48.6 40/59 44/53
CA-45 142,305 129,664 4,251 51.5/46.9 43/56 47/51
CA-46 145,393 150,937 6,921 47.9/49.8 42/57 42/55
CA-47 77,144 48,461 2,672 60.1/37.8 49/50 56/42
CA-48 163,063 160,584 7,091 49.3/48.6 40/58 40/58
CA-49 117,283 137,739 4,805 45.1/53.0 36/63 39/59
CA-50 172,962 158,845 5,616 51.3/47.1 44/55 43/54
CA-51 135,960 76,438 3,021 63.1/35.5 53/46 57/41
CA-52 135,848 161,332 4,827 45.0/53.4 38/61 40/57
CA-53 177,863 77,930 5,101 68.2/29.9 61/38 58/38
GA-01 96,818 167,122 2,149 36.4/62.8 34/66 38/62
GA-02 130,109 111,559 1,322 53.6/45.9 50/50 52/48
GA-03 129,895 235,263 3,178 35.3/63.9 29/70 32/68
GA-04 208,874 54,868 1,974 78.6/20.7 71/28 70/30
GA-05 249,927 63,053 2,734 79.1/20.0 74/26 73/27
GA-06 133,716 227,701 4,301 36.6/62.3 29/70 32/68
GA-07 140,009 212,721 3,710 39.3/59.7 30/70 31/69
GA-08 123,877 162,376 1,978 43.0/56.3 39/61 42/58
GA-09 70,366 225,929 3,611 23.5/75.3 23/77 29/71
GA-10 113,915 183,441 2,773 38.0/61.1 35/65 37/63
GA-11 103,112 204,275 3,987 33.1/65.6 29/71 35/66
GA-12 143,624 120,150 1,733 54.1/45.3 49/50 52/48
GA-13 200,567 80,327 2,180 70.9/28.4 60/40 57/43
IN-01 184,871 111,895 2,582 61.8/37.4 55/44 56/42
IN-04 141,946 184,389 3,509 43.0/55.9 30/69 32/66
IN-05 143,447 210,103 3,172 40.2/58.9 28/71 30/69
IN-07 191,381 76,530 2,056 70.9/28.4 58/42 56/43
IN-09 149,587 151,543 3,783 49.1/49.7 40/59 42/56
KS-01 79,638 184,501 4,813 29.6/68.6 26/72 29/67
KS-02 133,759 170,279 6,003 43.1/54.9 39/59 41/54
KS-03 186,196 177,019 5,148 50.6/48.1 44/55 42/53
KS-04 113,418 166,705 5,440 39.7/58.4 34/64 37/59
NY-18 184,182 112,214 2,294 61.7/37.6 58/42 58/39
NY-19 160,645 153,424 3,100 50.7/48.4 45/54 47/49
OH-01 164,824 133,576 3,147 54.7/44.3 49/51 46/51
OH-02 126,796 190,109 4,297 39.5/59.2 36/64 34/63
OH-03 155,610 167,897 4,830 47.4/51.1 46/54 45/52
OH-04 112,543 176,973 5,882 38.1/59.9 34/65 35/62
OH-05 136,666 159,433 5,981 45.2/52.8 39/61 37/59
OH-07 142,154 171,568 5,194 44.6/53.8 43/57 42/56
OH-08 118,915 189,578 5,499 37.9/60.4 35/64 36/61
OH-09 194,682 113,095 4,925 62.3/36.2 58/42 55/41
OH-10 174,575 115,005 5,489 59.2/39.0 58/41 53/42
OH-11 245,149 41,606 2,463 84.8/14.4 81/18 79/18
OH-12 213,177 183,233 5,172 53.1/45.6 49/51 46/52
OH-15 167,441 139,425 5,486 53.6/44.6 50/50 44/52
OH-18 112,545 128,735 6,122 45.5/52.0 43/57 41/55
OR-02 155,301 192,627 10,632 43.3/53.7 38/61 35/60
OR-04 200,841 161,645 11,572 53.7/43.2 49/49 44/49
PA-01 246,006 32,174 1,310 88.0/11.5 84/15 84/15
PA-02 270,695 26,521 1,264 90.7/8.9 87/12 87/12
PA-08 186,372 157,544 3,814 53.6/45.3 51/48 51/46
PA-11 164,451 121,559 3,229 56.9/42.0 53/47 54/43
PA-12 131,544 132,497 3,892 49.1/49.5 51/49 55/44
PA-14 209,771 86,927 2,886 70.0/29.0 69/30 70/28
PA-15 162,471 122,163 3,804 56.3/42.4 50/50 49/48
PA-16 150,341 161,844 2,719 47.7/51.4 38/61 36/62
PA-17 144,897 152,406 3,737 48.1/50.6 42/58 41/56
PA-18 149,824 186,297 3,215 44.2/54.9 46/54 47/52
TN-01 75,052 181,912 3,829 28.8/69.8 31/68 38/61
TN-02 104,287 195,540 4,600 34.3/64.2 35/64 39/59
TN-03 103,817 174,248 3,600 36.9/61.9 38/61 41/57
TN-04 92,924 173,841 4,917 34.2/64.0 41/58 49/50
TN-05 166,293 128,615 3,636 55.7/43.1 52/48 57/42
TN-06 112,064 189,729 4,721 36.6/61.9 40/60 49/49
TN-07 123,063 230,779 3,397 34.4/64.6 33/66 40/59
TN-08 110,390 144,957 3,255 42.7/56.1 47/53 51/48
TN-09 196,824 56,130 1,432 77.4/22.1 70/30 63/36
TX-02 105,736 159,141 1,805 39.7/59.7 37/63 37/63
TX-03 124,027 171,119 3,283 41.6/57.3 33/67 30/70
TX-04 90,191 206,621 2,992 30.1/68.9 30/70 34/66
TX-05 90,135 158,356 2,128 36.0/63.2 33/67 34/66
TX-06 112,025 167,778 2,243 39.7/59.5 34/66 34/66
TX-07 121,472 173,162 2,673 40.9/58.2 36/64 31/69
TX-08 73,428 213,450 2,464 25.4/73.8 28/72 31/69
TX-09 137,619 40,240 850 77.0/22.5 70/30 69/31
TX-10 149,112 183,908 3,987 44.3/54.6 38/62 34/67
TX-11 56,939 182,074 2,332 23.6/75.4 22/78 25/75
TX-12 99,083 171,408 2,539 36.3/62.8 33/67 36/64
TX-13 52,691 175,174 2,087 22.9/76.2 22/78 25/75
TX-14 88,532 177,370 2,230 33.0/66.2 33/67 36/64
TX-16 118,178 60,279 1,773 65.6/33.5 57/44 59/41
TX-17 78,756 166,649 2,351 31.8/67.3 30/70 32/68
TX-18 150,973 43,292 1,104 77.3/22.2 72/28 72/28
TX-19 64,541 168,789 1,912 27.4/71.8 23/77 25/75
TX-20 115,470 64,724 2,163 63.3/35.5 55/45 58/42
TX-21 149,261 214,569 4,299 40.6/58.3 34/66 31/69
TX-22 129,414 183,172 2,454 41.1/58.1 36/64 33/67
TX-23 124,568 117,704 2,348 50.9/48.1 43/57 47/54
TX-24 124,128 153,758 2,688 44.2/54.8 35/65 32/68
TX-25 176,016 118,183 4,805 58.9/39.5 54/46 47/53
TX-26 135,285 185,468 2,746 41.8/57.3 35/65 38/62
TX-28 103,037 80,192 1,251 55.9/43.5 46/54 50/50
TX-29 66,808 40,884 815 61.6/37.7 56/44 57/43
TX-30 170,826 37,465 1,306 81.5/17.9 75/25 74/26
TX-32 96,203 110,397 2,509 46.0/52.8 40/60 36/64

A few words about some of the states. Many of you have already seen the California numbers, which californianintexas published in her excellent diary; for those of you who haven’t, here they are on the front page again. There are unfortunately some California districts missing; a number of large counties (Santa Clara, San Joaquin, Ventura, and Fresno especially) haven’t provided precinct-by-precinct data, so districts incorporating parts of those counties can’t be completed.

The missing precinct-level data problem explains missing districts in certain other states, too. (In some cases, there was missing data for smaller counties, but I made a judgment call that the counties in question were small enough that they wouldn’t affect the overall percentage much, so they’re included.) In Indiana, we’re still missing data for Allen and Elkhart Counties, so that rules out IN-02, IN-03, and IN-06. (I already did the 8th in the first wave.) The partial totals for the left-out districts are still available in the Indiana database (the same is true for OH, PA, and TX as well), if you click the link. They may well be very close to the actual percentages, but there’s just no way of knowing.

In Ohio, large counties we’re missing include Mahoning, Trumbull, and Medina, so we’re short OH-06, OH-13, OH-14, OH-16, and OH-17.  Pennsylvania is missing Montgomery, Butler, and Cumberland Counties among others, so there we’re also missing the PA-03, PA-04, PA-05, PA-06, PA-07, PA-09, PA-10, PA-13, and PA-19. (MontCo also occupies a tiny bit of PA-02, PA-08, and PA-15, but it’s such a small percentage of those districts I decided to let it slide.)

In Texas, Cameron County is missing, so that leaves out TX-15 and TX-27. (I also did the 1st and 31st in the first wave.) Finally, there’s the matter of New York, where only a few counties bother to report by precinct. Luckily, two of them are Westchester and Rockland, so at least we can do NY-18 and NY-19 there.

There was also one missing county in Oregon, which kept me from including OR-02 and OR-04 in the first wave. I found enough information about Josephine County to decide how to allocate its votes (66.8% of the county’s voters voted for a candidate in the OR-02 congressional race, while 33.1% voted in OR-04, so I just applied those percentages to the presidential race).

In Georgia, as with many of the other southern states, early votes aren’t broken down, so what jeffmd did, as before, was to use both ‘hard’ and ‘soft’ totals, where soft totals included early votes allocated proportionately. I’m including the soft totals (otherwise, we wouldn’t have even won GA-02 and GA-12, where victory clearly depended heavily on black turnout).

So what are some of the highlights in this data set? Check out some of the traditionally Republican districts in California (where in many, not coincidentally, we came very close to surprising long-term incumbents) like CA-03, CA-26, CA-44, and even GOP strongholds like CA-25 and CA-48: all won by Obama.

Some of the biggest gains were in Indiana, especially in the Indianapolis area, where both the city itself (IN-07) and its right-wing suburbs (IN-05) zoomed to the left. Amazing what you can accomplish when you actually try to contest a formerly uncontested state.

One area where the GOP might take heart is western Pennsylvania, where there’s apparently the one district in the nation that flipped from going for Kerry to going narrowly for McCain: John Murtha’s PA-12. Also, the Philly burbs didn’t move as much as one might expect (the needle barely budged in PA-08 in Bucks County); where the biggest progress occurred in Pennsylvania was out in places like Lancaster and Harrisburg (see PA-16 and PA-17).

Texas is a very complicated tapestry: in many rural parts of the state, there was no real improvement from 2004, despite the loss of the favorite son effect. For example, expect TX-13 to replace UT-03 as the district with the worst PVI once they recalculate. And look at TX-08, where both growing right-wing exurbs and declining Dem fortunes in the Beaumont area were a double-whammy. Contrast that, though, with not just hugely improved percentages in the minority districts, but also a lot of progress in the suburban districts that we’ve discussed a lot recently where the minority growth is accelerating: TX-10, TX-22 (where the growth wasn’t enough to save Nick Lampson, sadly), TX-32, and especially TX-24 in the area around DFW airport.

And, as always, if more results trickle into the master database, I’ll be sure and post them to the front page. So keep on number-crunching!

85 thoughts on “Crowdsourcing Pres-by-CD: Third Wave of Results”

  1. Unless Obama won PA-03–and I’m not sure he did–McCain appears to have won a majority of the Congressional districts in the state, even though he lost by 10 points. But the MOST interesting part is that it wasn’t entirely according to the gerrymander. No contested Republican should ever win PA-12 (Murtha’s district), and yet. . .

  2. I looked up the background on the districts without results listed and estimate that Obama only lost 11-12 out of 53 California districts.  Thats friggin amazing.  We only hold 34 of the 53 CA congressional seats so there is plenty of room to grow there.

  3. Looking at that result there probably was no excuse for Lampson losing the way he did.  He didn’t even outperform Obama by much in his own district.

  4. What in the world happened with PA-18? It went 55-44 McCain- I was hoping that something miraculous would happen on Nov. 4th, and that Tim Murphy would be unseated. Then again, isn’t a portion of his district heavily Republican, unlike Murtha’s?  

  5. Obama made great progress in the super Republican suburban Atlanta districts(GA-03, GA-06, and GA-07) but not anywhere near enough to put them into play.  Its too bad we didnt get to keep that pre-2005 Congressional map because it probably would have given us a 7-6 lead in the delegation.  

  6. Actually, I had no problem getting them.  As I expected, the section in the 4th District was really bad, going 12,574 for Obama to 24,684 for McCain.  Places like Cranberry Township were really bad.  The 3rd District section was not good at all, either, just not as bad.  19,686 to 32,390 is what I came up with.

    Again, those suburban/exurban growth areas are the worst.

    I also noticed that the Slippery Rock area we actually won.  In Indiana County, the town of Indiana and the surrounding area we actually did very well in.  Most of the rest we did really poorly in.

    Maybe that is what we need down there: more university and college towns.

    Maybe other people found it, but I did not see the precinct results for either Venango or Armstrong Counties.

    Given the lead that Obama has in the 3rd district outside those two counties and the amount of each county that is in the 3rd district, I would venture to say that Obama actually did win the 3rd district.

    I do notice that much of the best Democratic territory in Mercer County went to Altmire’s 4th.

    Maybe they can get rid of Tim Murphy’s district when we lost one seat, using the 5th and 9th eat up more Republican territory down in the southwest and giving more Democratic friendly territory to the 3rd, 4th, and 12th.

  7. Isn’t that Doggett’s district?  How the heck did Bush carry his district in 2004?  That guy is a solid liberal.  I thought his district was similarly very liberal.

  8. Amazes me that a district can be that one-sided.  Republicans just can’t win statewide when Philadelphia turns out numbers like that.

    Impressive numbers in the Atlanta suburbs as well.  Georgia is a long-term goal, and it will likely be won the same way Virginia, and then North Carolina were.

    Those Indiana numbers are even crazier.  Obama outperformed Al Gore by a full 30% in IN-07, the Indianapolis-based district.

    For that matter, he even outperformed Gore by 28% in TN-09, the Memphis-based district.  Needless to say, that’s Gore’s home state and he only lost it by 4%.  Of course, in the rest of the state (except Nashville) Obama cratered and we will have a tough time holding any of our seats besides Cohen’s and Cooper’s if the incumbents retire.

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