precinct analysis

Precinct analysis: State Senate and SBOE 2022

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PREVIOUSLY:
State House 2022
A comparison with 2012
Congress 2022

As with Congress there won’t be much to see here. The fewer the districts, the more precise the redistricting can be. Here’s the State Senate:


Dist  Abbott   Abb%     Beto  Beto%
===================================
19    96,050  43.8%  119,728  54.6%
20    78,929  44.9%   94,682  53.8% 
21    88,609  40.5%  126,105  57.7%
27    87,773  49.0%   88,970  49.6%

02   168,600  59.2%  112,075  39.4%
07   172,986  60.0%  111,308  38.6%
08   195,298  58.3%  134,859  40.3%
09   161,729  57.4%  115,562  41.0%
11   164,256  58.7%  111,345  39.8%
12   205,220  58.4%  141,603  40.3%
25   237,836  60.0%  152,508  38.5%

SD27 is the former Eddie Lucio district, and Dems just barely hung on to it last year. Freshman Sen. Morgan LaMantia will be on the ballot again next year, and obviously I hope that being the incumbent plus it being a Presidential year will help her out. I’m sure Republicans will put a lot of money into it anyway. The other Dem districts don’t particularly worry me, but we will of course look for any trends.

Not much to say about the Republican-held districts. Angela Paxton, out there opposing any exceptions to Texas’ forced birth laws, and she’ll be on the 2024 ballot as well. It sure would be nice to put a lot of money into making that a campaign issue, if only to see what if any traction there is to be had with it. Her SD08 and all of the others are in that pile of “districts that moved at least somewhat in a blue direction last decade”, and if there are to be any potential flips on this part of the ledger we’ll need that to continue.

Onto the SBOE:


Dist  Abbott   Abb%     Beto  Beto%
===================================
01   205,022  44.6%  246,944  53.7%
03   218,370  44.7%  263,062  53.8%

02   206,855  51.6%  188,418  47.0%
06   351,539  57.1%  254,937  41.4%
07   348,281  59.8%  225,552  38.8%
08   284,992  59.2%   89,318  39.3%
12   402,314  59.9%  260,723  38.8%

SBOE2, which had been on a knife’s edge last decade, is now Republican-held, meaning the Dems are back to having five seats. It seems that the new map made the now-Dem SBOE5 a lot bluer at least partly at SBOE3’s expense, as it had been a 65%-plus district before. Again, I’m not worried about either of those two, but as above we’ll keep an eye on them. I don’t know when we’ll get a crack at SBOE2 again – unlike in the Senate, the process to determine who gets the two-year term and who gets the four-year term in the SBOE doesn’t draw much coverage. Given the size of these districts, unless the state itself turns blue I don’t see any other competitive races on the horizon. I’d love to be proven wrong, but these districts have a lot of slack in them. For all that SBOE6 shifted last decade, it stayed red in the end. It’s now been reset to 2012 levels, and at this point the best case scenario looks like a repeat of that cycle. Again, I’ll be happy to be too pessimistic about that.

Precinct analysis: Congress 2022

Apr 4th, 2023

by Charles Kuffner.

3 comments

PREVIOUSLY:
State House 2022
A comparison with 2012

This will be short and bland, as there ain’t many competitive Congressional districts by any metric.


Dist  Abbott   Abb%    Beto   Beto%
===================================
28    79,478  46.4%   88,550  51.7%
34    57,793  42.7%   75,741  55.9%

15    81,095  52.4%   71,649  46.3%
23   116,353  54.4%   94,259  44.1%

03   163,075  59.1%  108,840  39.5%
12   143,586  59.9%   92,478  38.6%
22   144,862  59.5%   95,274  39.1% 
24   172,837  57.5%  123,159  41.0%

I could do a similar comparison to 2012, but that won’t tell us much. We already know that the swing seat list at that time was the then-Dem held CD23, and that was about it. CD23 flipped red in 2014 and managed to stay there, while CDs 07 and 32 went blue in 2018 and are now a much darker blue, to help make their formerly swingy neighbors more reliably red. This is what redistricting is all about.

Not a whole lot to say here. Republican interest in CD34 is already starting to wane, and I suspect we’re all going to be stuck with Henry Cuellar for the foreseeable future. Whatever one may say about Jessica Cisneros and any future efforts to oust Cuellar in a primary, the narrative that his district is “dark blue”, which wasn’t the case in 2020 or 2022, will hopefully die. I do think a better Dem than Cuellar can hold that district, but anyone who claims that basically any Dem could do so is at best kidding themselves. Let’s please put some more thought into this if we try again next year, that’s all I’m saying.

The best Dem pickup chance, at least on paper, is the seat that redistricting helped take away in CD15. Maybe CD23 becomes interesting again if the Republicans fully indulge in their fury against Rep. Tony Gonzales, or maybe like Cuellar and CD28 there exists room for someone more orthodox to hold the seat. On the one hand, Republican primary voters are not known for making rational, calculated choices. On the other hand, that is still a ten-point margin. You pay your money and you take your chances.

I continue to believe that the best target will end up being CD24 again, but that will likely take a couple of cycles. Maybe CDs 03 and 22 can join it, if we pray hard enough to the Demography Gods. I dunno. I will of course keep an eye on this, and I am somehow still a cockeyed optimist in these matters, but for now my forecast is that the Congressional landscape is boring. I hope to be wrong about that sooner rather than later.

Precinct analysis: Looking back at the 2012 landscape

Mar 27th, 2023

by Charles Kuffner.

1 comment

PREVIOUSLY: State House 2022

We’ve had our first look at the way the new State House districts performed, and while we can expect the 2024 election to be a little different, it’s clear at this time that there aren’t many swing seats out there, even with a fairly expansive definition of “swing”. That’s by design, of course, and it’s clear Republicans have gotten pretty good at doing what they do. But I think we all recall feeling similar emotions following the 2012 election, and while it took awhile, we did see some massive changes in how districts were perceived over time. So let’s wind the clock back a decade and see what the landscape looked like at first. We’ll start with the Republican seats as of this time in 2013, using the same “under 55%” and “55-60%” standards as before.


Dist  Romney   Rom%    Obama Obama%
===================================
023   31,282  54.6%   25,365  44.2%
043   25,017  52.0%   22,554  46.9%
052   30,763  54.7%   23,849  42.4%
054   25,343  52.9%   21,909  45.7%
102   29,198  53.0%   24,958  45.3%
105   23,228  52.1%   20,710  46.5%
107   27,185  51.8%   24,593  46.9%
113   27,095  52.5%   23,891  46.3%

Dist  Romney   Rom%    Obama Obama%
===================================
032   28,992  56.9%   21,104  41.4%
045   35,298  55.2%   26,757  41.8%
047   50,843  58.0%   34,440  39.3%
065   31,456  57.5%   22,334  40.8%
096   36,190  58.6%   24,838  40.2%
097   39,614  59.6%   25,881  38.9%
108   40,564  59.0%   27,031  39.3%
112   28,221  55.0%   22,308  43.5%
114   35,795  55.2%   28,182  43.5%
115   30,275  55.4%   23,556  43.1%
132   31,432  58.9%   21,214  39.8%
134   46,926  56.4%   34,731  41.7%
135   32,078  58.8%   21,732  39.8%
136   35,296  55.1%   26,423  41.2%
138   27,489  59.2%   18,256  39.3%

Ironically, the first two districts listed here are ones that quickly disappeared from the “competitive” rankings. Both HDs 23 and 43 trended red over the decade, and neither has had a serious Democratic challenge since 2014. (HD23 was won, for the last time, by Democrat Craig Eiland in 2012; HD43 became Republican after the 2010 election when its incumbent switched parties.) Most of the other districts in both tables above are now Democratic, with HD132 being Dem for one cycle after being flipped in 2018 and flipped back in 2020. HD107 was the first Dem takeover, in 2016, while HD134 turned blue in 2020. All the rest came over in 2018.

It should be noted that as of the 2012 election, there were only 55 Democrat-held districts. Three went red in the 2014 debacle, with two of those (HDs 117 and 144) plus HD107 flipping back in 2016. Dems have 64 seats now, and could with a bit of optimism get to the 67 that they had after the 2018 wave. After that, you’re relying on either a steady march of favorable demographic progress, or another shakeup in the national landscape that makes formerly unfriendly turf more amenable. Which is indeed what happened last decade – in the previous decade, it was more the march of demography – but past performance does not guarantee future results. The Republicans have made some gains in formerly dark blue turf, too, as they had in 2010 when they managed to finally win in historically Democratic rural areas. You can’t say from here which way or how far the wheel will spin.

In the end, there were 22 “competitive” seats by our metric as of 2013. Fourteen of them were won after then at least once by a Democrat, with thirteen of them net for Team Blue. I have 34 such seats in 2023. I’d say that’s a combination of Texas being modestly bluer overall – remember that Mitt Romney took 57% in 2012 while Donald Trump took 52% in 2020; Greg Abbott got 59% in 2014 and 54% in 2022 – with Republicans having to spread themselves a little thinner in order to hold as many of these seats as a result. We’ll just have to wait and see how it all ends up.

On the other side of the ledger, the “swing” Dem-held seats of a decade’s hence:


Dist  Romney   Rom%    Obama Obama%
===================================
034   19,974  44.2%   24,668  54.6%
078   19,013  44.0%   23,432  54.3%
117   20,036  46.7%   22,234  51.8%
144   11,606  47.9%   12,308  50.8% 

Dist  Romney   Rom%    Obama Obama%
===================================
041   14,906  42.3%   19,935  56.5%
048   32,025  39.5%   46,031  56.8%
050   22,906  38.8%   34,110  57.8%
074   16,738  41.5%   22,955  56.9%
118   17,824  43.3%   22,719  55.2%
125   19,004  39.5%   28,374  59.0%
148   16,296  41.1%   22,449  56.6% 
149   18,183  41.8%   24,839  57.1%

Not nearly as many as there are now, and basically none of them became more competitive over the course of the 2010s. HDs 117 and 144 did flip in 2014 but returned to the fold the following election. A couple of these districts, specifically HDs 34 and 74, are legitimately competitive now, at least by the statewide numbers, and of course HD118 was drawn to be considerably redder and is now Republican-held but tenuously so. While it’s on the Dem target list now, I expect it will be on the Republicans’ target list in two years.

I have a total of 19 competitive-by-this-metric seats as of now, but as noted I only expect a couple of them to truly behave that way. Dems will have more “real” targets, up until such time as they begin winning them. But maybe some of those South Texas seats will begin to drift away and we’ll be having a very different conversation in, say, 2026. Again, we’ll just have to see how it plays out. For now, it’s clear that there are more “competitive” seats in 2023 than there were in 2013. We’ll check back later to see how or if that changes.

Precinct analysis: State House 2022

Mar 20th, 2023

by Charles Kuffner.

2 comments

We have data.

Texas Democrats and Republicans are beginning to gear up for a presidential election cycle in which opportunities to flip seats for Congress and the Legislature appear limited.

It’s a natural outcome after Republicans redrew legislative and congressional district boundaries in 2021 to shore up their majorities for the next decade, stamping out most districts that had turned competitive by the end of the last decade. Most of the remaining competitive territory was in South Texas, which is predominantly Hispanic, and where the GOP poured almost all their resources in 2022 — to mixed results.

On paper, there are few obvious pickup opportunities based on an analysis of the governor’s race results in each district. Among U.S. House seats, Republican Gov. Greg Abbott and Democratic challenger Beto O’Rourke did not carry any districts that are currently held by a representative from the other party. The same was true in the Texas Senate. And among state House districts, Abbott and O’Rourke each won only one that is currently controlled by the opposing party.

The statewide election results often provide a helpful guide of how a district is trending given that they often represent the highest-turnout contest in a district.

The size of the battlefield in 2024 could depend on the top of the ticket, which will be the presidential race. President Joe Biden is expected to run for reelection, and the Republican frontrunner to challenge him is former President Donald Trump, whose 2016 and 2020 runs yielded some of the closest presidential races in Texas in recent history. His closest competitor for the nomination is Florida Gov. Ron DeSantis, who has not launched a campaign yet but is widely expected to jump in.

There are other factors for the down-ballot contests that remain to be seen.

Even though Abbott signed off on redistricting in 2021, the lines could still change for the 2024 election. Various groups are suing over the maps, alleging things like intentional discrimination and efforts to dilute voters of color, and they are currently awaiting a trial in federal court in El Paso. On the line in the case are boundaries for seats such as a San Antonio state House seat currently held by GOP Rep. John Lujan; that seat is a top battleground in the Texas House.

My initial view of the new map, which looked at the past elections of the decade, is here, and an index of my look at the results from the 2020 election under the old maps is here. I’ll look at the other types of results in future posts, but today we focus on the State House. The 2022 data for the new map is here.

The gist of this story is that the Republican redistricting was very effective and that there aren’t many competitive districts, which means we’re headed for some boring elections, much as we had in the first couple of cycles last decade. That’s slightly less true for the State House than it is for the other entities, and I think the 2024 environment will at least differ enough from last year to produce some variance.

I’m presenting the districts of interest in two groups. One is the competitive Dem-held districts, the other is the same for Republicans. I’ve sorted them further into districts where Abbott or Beto took less than 55%, and districts where they won between 55 and 60 percent. With all that said, here we go. First up are the closer districts currently held by Dems.


Dist  Abbott   Abb%    Beto   Beto%
===================================
022   17,170  44.5%   20,822  54.0%
034   18,285  47.0%   20,128  51.7%
070   27,581  45.9%   31,749  52.8%
074   18,915  48.7%   19,218  49.5%
080   20,611  51.9%   18,249  46.0%

035    9,867  39.9%   14,517  58.7%
036   10,835  39.0%   16,525  59.4%
039   12,056  40.0%   17,686  58.7%
041   17,364  43.5%   22,125  55.5%
045   26,119  38.9%   39,783  59.2%
076   20,148  39.8%   29,705  58.6%
078   21,133  41.4%   29,140  57.0%
092   14,217  40.2%   20,680  58.4%
105   13,086  42.1%   17,515  56.4% 
113   17,848  41.2%   24,854  57.4%
115   22,605  42.1%   30,334  56.5%
135   16,443  40.0%   24,121  58.6%
144   11,566  43.3%   14,683  55.0%
148   15,451  41.2%   21,460  57.2%

As the story notes, the Republicans somehow failed to field a challenger to Rep. Tracy King in HD80, an oversight I expect they’ll fix in 2024. They made the same mistake in 2010 with then-Rep. Allan Ritter in HD21, but Ritter, an old school conservative rural Dem, rectified their error by switching parties. King, whose district is considerably bluer than Ritter’s was, seems unlikely to follow suit; among other things, he’s been pushing to raise the age to buy automatic weapons from 18 to 21, which puts him at odds with Republican orthodoxy. Never say never, and if the district continues a trend towards the red King could be amenable to such overtures, but for now I don’t see that happening.

For the others, HD70 is a newly-drawn Dem district, and I’d expect it to get bluer over time. HD74, which Rep. Eddie Morales won by 11 despite its closeness at the statewide level, was modestly blue based on 2020 results and should be more so in 2024, though if that isn’t true then expect a bigger fight later on. HD34 was purple-ish before redistricting, and as with HD74 I think it will be bluer next year, but again keep an eye on it. The one district that I think will become more vulnerable over time is HD22, in Jefferson County, which has a declining population and much like Galveston County in the 2000s and 2010s a reddish trend over the past decade. I’d like to see some effort made to shore it up, but I don’t know enough about the local conditions to know how feasible that is. Feel free to chime in if you do.

None of the other districts concern me. The Latino districts, I’d like to see what they look like in 2024. They’re all actually pretty spot on to the 2020 numbers, which given the overall lackluster Dem showing in many areas is moderately encouraging. The rest of them are in overall strong Dem areas, and I don’t expect any reversion of past trends.

Now for the Republican-held seats that Dems might like to target:


Dist  Abbott   Abb%    Beto   Beto%
===================================
037   20,551  51.1%   19,202  47.7%
052   41,813  52.5%   36,500  45.8%
063   35,831  54.8%   28,630  43.8%
094   34,479  54.7%   27,557  43.8%
108   46,796  52.6%   41,022  46.1%
112   35,245  50.6%   33,467  48.0%
118   25,172  48.5%   25,952  50.0%
121   40,300  51.1%   37,368  47.4%
122   47,856  54.7%   38,491  44.0%
133   33,195  54.4%   26,971  44.2%
138   31,077  54.1%   25,464  44.3%

014   27,936  56.9%   20,207  41.1%
020   48,367  56.5%   35,743  41.8%
025   31,545  59.3%   20,785  39.1%
026   36,266  57.7%   25,683  40.8%
028   38,940  58.1%   27,061  40.4%
029   33,393  58.8%   22,579  39.7%
054   23,763  59.7%   15,463  38.8%
055   28,125  58.4%   19,322  40.1%
057   37,715  58.1%   26,311  40.5%
061   39,753  56.1%   30,211  42.7%
065   41,487  56.9%   30,451  41.7%
066   41,464  56.9%   30,421  41.8%
067   38,127  56.3%   28,647  42.3%
089   38,701  57.5%   27,643  41.1%
093   34,136  57.6%   24,310  41.0%
096   35,260  55.2%   27,877  43.6%
097   36,059  55.2%   28,336  43.4%
099   31,869  58.6%   21,719  39.9%
106   41,639  58.3%   28,875  40.5%
126   35,835  59.4%   23,627  39.1%
127   39,102  58.5%   26,791  40.1%
129   37,118  56.8%   27,144  41.5%
132   35,079  57.0%   25,603  41.6%
150   33,857  58.3%   23,303  40.1%

I think it’s fair to say that the failure to win back HD118 was a big disappointment last year. I’ll use a stronger word if we get the same result in 2024. HD37 remains the subject of litigation – if there’s anything on the agenda to address it in this legislative session, I am not aware of it at this time. It had a slight Democratic tilt in 2020 and will clearly be a top target next year. As will HDs 112 and 121, with 108 and 52 a notch below them, though 108 is starting to feel a bit like a white whale to me. All things being equal, Dems should be in position to make a small gain in the House next year, with some potential to do better than that, and given everything we’ve seen since the dawn of time, the potential to do a bit worse as well.

The farther-out districts are mostly those we had identified as targets following the 2018 election, with a few adjustments for the new map. They’re all in counties and regions that had been trending Democratic. For the most part, I expect that to continue, but that doesn’t have to be monotonic, nor does it have to be at a fast enough pace to make any of these places actually primed to flip. I’ve said before that the way Tarrant County was sliced up it gives me “Dallas County 2012” vibes, but whether than means that a bunch of districts eventually flip or they all hold on if by increasingly tight margins remains to be seen. We’ll know more after 2024.

In theory, there won’t be many truly competitive districts in 2024, like there weren’t last year. The national environment, plus the higher turnout context, plus whatever yet-unknown factors may be in play will surely affect that, by some amount. I’d like to see an optimistic view for next year and get as many strong candidates in as many of these districts as possible, but that’s far easier said than done. This is not that different than how things looked after the 2012 elections, and we know how things went from there. Doesn’t mean anything will go any particular way or on any timetable, it’s just a reminder that there’s only so much we can know right now. I’ll have some thoughts about the other district types going forward. Let me know what you think.

What will it take to keep those ten appellate court benches we won in 2018?

Feb 21st, 2023

by Charles Kuffner.

1 comment

As you may recall, Democrats won a ton of Appellate Court races in 2018. Ten of them, in fact, five each on the First and Fourteenth Courts of Appeals, the first such victories since winning a lone bench in 2008. These victories gave Dems a 5-4 majority on each court, and it seemed there would be more to come. We did (barely) win two of the four races in 2020, with one exceedingly close loss and one less close loss, but we went 0 for 4 this year. In 2024, all ten of those benches we won will be on the ballot again. As the title says, what do we need to do to hold onto them?

The appellate courts cover multiple counties. For the First and Fourteenth, those counties are Austin, Brazoria, Chambers, Colorado, Fort Bend, Galveston, Grimes, Harris, Waller, and Washington. I’m sure you can guess which of those favor Democrats and are needed for Team Blue to win. I’m going to look back at the four most recent elections to see if we can put some numbers on that.

I put all the county numbers for these races into a spreadsheet, which is my default starting move for a post like this, especially when I’m not exactly sure where I’m going with it. After a minute, I decided to go with the obvious, which was to separate the counties into those that are good for the Dems and those that are not, and see what that told me. We start with 2016. I think the methodology will be clear.

2016 bad counties – 105K to 112K
2016 Harris + FB – 22K to 67K

The “bad counties” are the eight red ones. What I did was add up the Republican and Democratic votes for each candidate in those races – there were four that year, as there were this year – and then took the difference. What you see above is the range for each, so the vote deficit for these counties goes from 105K to 112K. I’m just eyeballing everything and not being too particular about it, this is close enough for these purposes. I then did the same thing for Harris and Fort Bend counties, to see how big the Democratic surplus was in each race. Again, you can see the result.

Obviously, the Democratic candidates lost the four races. The closest they got was trailing by about 39K votes, and the farthest apart was about 89K votes. No big mystery here. The same is true for 2018, except with the exact opposite result:

2018 bad counties – 83K to 90K
2018 Harris + FB – 121K to 174K

Two things are different in 2018. One is that every Democratic candidate won Fort Bend County in 2018, by over 12K votes in each case. While Hillary Clinton carried Fort Bend County by 17K votes, downballot candidates didn’t do as well, and all four Dems trailed there by a little bit. The other difference is that the surplus in Harris and Fort Bend far exceeded the deficit from the eight “bad” counties, and all ten candidates won.

You might notice at this point that the range of outcomes in Harris plus Fort Bend is quite wide in both years, much wider than the range for the red counties. You may also recall the vast hand-wringing campaign about the scurrilous effects of straight-ticket voting in those years, in which Democrats swept Harris County. How awful it was for democracy that these swarms of Democratic voters were mindlessly hitting one button and putting all these non-judges onto our benches. If you don’t know or don’t remember all of the things I had to say about this line of thinking back then, you can probably surmise it from what I’ve just said here. The numbers tell the tale. ‘Nuff said.

2020 bad counties – 122K to 127K
2020 Harris + FB – 108K to 156K

You might have thought in looking at the numbers for 2016 and 2018 that a split result could occur, given the wide ranges. That’s exactly what happened in 2020, as noted above. I spent a lot of time obsessing over these four super-close races two years ago, and don’t have anything new to say. Go read those posts if you haven’t or if you don’t remember them.

2022 bad counties – 100K to 102K
2022 Harris + FB – 9K to 38K

And here we are for this year. You may note that now two elections into the no-straight-ticket-voting era, the range of outcomes in both sets of these counties is the smallest. Indeed, three of the four races were actually in the Dem +34K to +38K range, with one outlier. For whatever the reason fewer people split their tickets, even though they had no choice but to vote (or not) in every single race. Please take a moment to imagine me with a very smug look on my face.

Okay, we can move on now. The lesson we can learn from all this is that we need to maximize the Democratic vote in Harris County if we want to win these races. Not exactly rocket science, but the data is as clear as it could be. The cumulative deficit from the “bad” counties has been edging upward, but the Democratic potential in Harris County – even all by itself, though Fort Bend should be an asset as well – is more than enough to overcome it. Look, Biden won Harris County by 218K in 2020. MJ Hegar, who didn’t do nearly as well, still won Harris by 136K. Even in 2020, the two losing candidates would have won with Hegar’s margin.

Which brings me to the second point of interest, which is really hammering the message home about voting all the way down the ballot. I will show in another post that the undervote rate doesn’t correlate with partisan performance, at least in county judicial races, but with the appellate courts including all those Republican counties, it’s imperative to maximize those margins.

Again, that’s the case now as well. Beto won Harris County by 105K in 2022. With that margin, three of the four Dem candidates would have won by a couple thousand votes. It would have been a tossup for William Demond, I didn’t do the math more rigorously than what you see here, but he might have won. The potential was there.

Now, given the vast sum of money spent by wingnut richies to smear Democratic judges, it may be that was at least as big a challenge as undervoting was. I don’t have the data to make a judgment about that, but the possibility certainly exists. All we can do about that is fight fire with fire. I don’t think we’ll face that kind of concentrated spending in 2024, but it will be a Presidential year, so anything goes.

Two other things can make a difference as well. One is Fort Bend, which was positive for Dems in 2018 and 2020, but not in other years. Dems were down 2K to 7K in 2016, and down 2K to plus less than 1K in 2022. In the two good years, Dems carried Fort Bend by over 10K votes in each race. That helps, and I have hope it can be better than that in 2024.

Of the bright red counties, six of them are small, and while they have steadily become redder over the years, the net effect is fairly small. The two big red counties are Brazoria and Galveston, and they have acted distinctly differently over the last few elections:

Brazoria:

32K to 36K in 2012
33K to 35K in 2016
33K to 35K in 2020

23K to 26K in 2018
25K to 26K in 2022

I went back to 2012 to add in another Presidential year data point. We have held our ground in Brazoria, which is educated and suburban enough to show a few tiny signs of moving a bit blue recently, at least at the top. I would suggest that it’s worth the effort to put some money into the Dem-friendly areas of Brazoria in 2024, for the purpose of squeezing out as many Dem votes as possible. If we can at least keep the deficit here from growing – or better yet, if we can shrink it be a couple thousand votes – we can take a bit of pressure off of Harris and Fort Bend.

At the other end of the scale is the problem known as Galveston:

23K to 27K in 2012
33K to 36K in 2016
41K to 42K in 2020

25K to 28K in 2018
32K to 34K in 2022

Galveston keeps on getting redder, and it’s big enough and growing enough for that to have an effect. I don’t have any great insight here, nor do I have much confidence that Dems could take action to mitigate against this. Maybe I’m wrong about that, I don’t know. I just want to point out the problem, so we know what we’re up against.

So there you have it. The path to retaining these judges is there. We know what to do, and we know where the opportunities and dangers are. It’s a matter of execution from here.

Precinct analysis: The different kinds of courts

Jan 30th, 2023

by Charles Kuffner.

1 comment

PREVIOUSLY
Beto versus Abbott
Beto versus the spread
Hidalgo versus Mealer
Better statewide races
Not as good statewide races
County executive offices
Houston/not Houston

I’ve spent a lot of time and space on this blog talking about judicial races and trying to make sense of their numbers. As we’ve discussed, there is consistently a three-to-four point range between the top-scoring Democratic judicial candidate and the lowest-scoring one. That range is consistent across years, across baseline Democratic performance levels, across different types of judicial races. I’ve looked but never found patterns that I think satisfactorily and consistently explain the variations.

This was an interesting year for multiple reasons – the first non-Presidential election since the huge shift towards Democrats in 2018, the first time these judicial incumbents were running for re-election, tons of money being spent by Republicans and their backers to smear Criminal Court judges, the high-profile County Judge race that was closely tied to that same campaign spending, the first non-Presidential year with no straight-ticket voting, coming in a year with the extra-long ballot and so on. There were a lot of contradictory polls and a lot of dubious conventional wisdom, including questionable pronouncements about voters getting worn out before they reached the end of the ballot, and how that would be bad for Democrats.

In the end, the results largely defied negative pronouncements about Democrats’ chances. I turn as always to the numbers to see what they tell us. One way that I decided to approach this was to look at the different type of judicial races on the ballot, to see if there was anything interesting there. Turns out there was:


Court         R Avg    D Avg    R pct   D pct
=============================================
Appeals     520,019  549,533   48.62%  51.38%
Dist Civil  518,475  545,206   48.74%  51.26%
Dist Crim   520,900  542,986   48.96%  51.04%
Family      508,801  546,195   48.23%  51.77%
C Civil     515,292  545,092   48.60%  51.40%
C Crim      522,321  534,175   49.44%  50.56%
C Probate   511,900  540,619   48.64%  51.36%

You may have noticed that the ballot is arranged in a particular order. At a high level, it’s federal races, then state races, then county races, then city and other local entities if applicable. In this context, after the statewide offices and the legislative offices (including the SBOE), there are the judicial races. They start with the appellate courts, the 1st and 14th for those of us in Harris County, then the District Courts in numerical order, which means that Criminal District Courts and Civil District Courts are mixed together. Last in line for the state courts are the Family Courts, also in numerical order. After the last Family Court race is the County Judge, the top race in the county, and then the County Civil courts, the County Criminal courts, and finally the County Probate courts. (I am not taking the Justice of the Peace courts into consideration here, as they are not countywide and you only have one of them on your ballot.)

That’s the order displayed in the table above, so each line represents a group that came entirely after the group above it. I took the average number of votes each party’s candidates got in these races – I omitted the one Appellate Court race that had a third candidate in it so that we’d have a cleaner comparison – and the average vote percentage for each group, which you see in the table.

Breaking it down this way revealed three things to me that I might not have noticed otherwise. One is that the many millions of dollars spent by the Mealer/Mattress Mack cohort did have some effect, specifically in the criminal court races, with that effect being slightly larger in the county courts than in the district courts. Republican criminal court candidates, at both the district and county levels, actually got more votes on average than their civil court counterparts, while the Democrats in those races got fewer votes than their civil court colleagues. It’s not clear to me why the gap was greater in the county (which is to say, misdemeanor) courts; the anti-Democratic advertising wasn’t at all subtle about who was responsible for whatever outrage they were fulminating about. To the extent that it did work, the voters seemed to understand the difference between “criminal courts” and “not criminal courts”. If anyone on the Republican side thought that the other Democratic judges might become collateral damage, there’s no evidence to support that.

Two, the Family Court judges were the stars of the 2022 elections for the Democrats. The gap is the greatest between them and their Republican challengers, and they got the most votes in the aggregate of any non-appellate group. They may have drawn some support from people who otherwise voted Republican, or they got more people who might have been skipping other judicial races to push their buttons. Again, I don’t know exactly why. Just eyeballing the 2018 results – I may go back and do these calculations for that year, just as a point of comparison – I think the Dems that year did better overall than in other races, though they had about the same range of results. One thought I’ve had about this is that the Family Courts were kind of a mess before the Dem sweep of 2018 – there were some stories that made it into the papers about happenings in the Family Courts, and of course there was then-Family Court Judge Lisa Millard ruling against the city of Houston giving health insurance benefits to same-sex spouses of city employees even after DOMA had been ruled unconstitutional by SCOTUS. Maybe there’s a general impression among (at least some) voters that Republicans can’t be trusted on Family Court benches, in the way that Republicans tried to push than message about Dems on Criminal Court benches. I’m just guessing – the evidence is minimal, there aren’t that many of these races, the gap isn’t that much – but it’s what I’ve got.

And three, there’s no evidence to support the hypothesis that I have seen too many times that “ballot fatigue” disproportionately hurts Democratic candidates. Democratic Probate Court judges, all the way at the bottom of the ballot, did basically as well as their counterparts in appellate and civil court races. The dropoff in votes cast for each party from appellate to probate, and from county civil to probate, is about the same; the dropoff from district civil to probate favors the Dems. If anyone thought that eliminating straight ticket voting would give Republicans more of a chance to win these farther downballot races because Dems would lose interest or get tired or whatever, they were wrong. I made this point till I was sick of having to make it back in 2018 and again in 2020. I will never not be mad about all of the lazy, uninformed, and frankly kind of racist assumptions that went into that hypothesis.

Let me close with a visual reminder of all this. The table above is the average vote and percentage for the different types of judicial races. The chart below is the vote percentage for both parties in each of those races individually.

The Y-axis is the percentages. The X-axis is where they are on the ballot, so on the left we start with the appellate races, then go through the district and family courts, then into the county civil, criminal, and finally probate courts. You can see the four races that Dems lost, one district criminal court and three county criminal courts.

And as you can see, while there is that dip in percentage that we have discussed for the county criminal courts, it bounces right back for the probate courts. There’s no overall downward trend. Many millions of dollars in advertising was able to move the needle a bit in a handful of races, but that’s it.

I still have a couple more of these posts to work through. As always, please let me know what you think.

Precinct analysis: Inside and out of the city

Jan 17th, 2023

by Charles Kuffner.

2 comments

Most years we don’t get the data to differentiate between votes cast by residents of Houston and votes cast by Harris County non-Houston residents. There needs to be a citywide referendum of the ballot in order to get at this data. Fortunately, we had that this year, so we can take a look at how the races of interest shaped up. The usual caveat applies here, which is that this data is not exact. There are multiple precincts that are partially in Houston and partially not in Houston. Many of them have a tiny number of Houston-specific votes in them, with a much larger contingent of non-Houston votes. Counting these as Houston precincts means you wind up with a lot more total votes in Houston than were cast in the referenda elections, and gives you a distorted picture of the candidate percentages. I filter out precincts with ten or fewer votes cast in the Houston proposition elections, which is arbitrary and still yields more total votes than in the prop races themselves, but it’s close enough for these purposes. So with all that preamble, here’s the data:


Candidates    Houston   Not Hou    Hou%    Not%
===============================================
Beto          317,736   277,917  63.43%  46.22%
Abbott        175,533   314,728  35.04%  52.34%

Collier       312,803   273,337  62.81%  45.64%
Patrick       171,319   312,803  34.40%  51.84%

Garza         312,022   272,513  62.83%  45.61%
Paxton        170,642   309,499  34.36%  51.80%

Dudding       294,958   255,993  59.69%  43.03%
Hegar         185,671   324,329  37.58%  54.52%

Kleberg       296,878   257,563  60.34%  43.45%
Buckingham    184,006   323,967  37.41%  54.65%

Hays          308,304   269,169  62.61%  45.36%
Miller        184,139   324,228  37.39%  54.64%

Warford       290,364   251,323  59.02%  42.41%
Christian     181,355   319,465  36.86%  53.91%

To be clear about what this data shows, Beto won the city of Houston by a margin of 317,736 to 175,533, or 63.43% to 35.04%, while Greg Abbott carried the non-Houston parts of the county 314,728 to 277,917. This is about 493K ballots cast for those two candidates, which doesn’t count third party and write-in candidates or undervotes; I didn’t tally them all up but we’d be at around 510K total ballots defined as being “Houston”. In actuality, there were 486K total ballots cast, including undervotes, in the city prop races. Like I said, this is plenty good enough for these purposes.

As noted, I don’t have a whole lot of data for this from previous elections, but what I do have can be found in these posts:

2008
2012
2018

There were city propositions in 2010, for red light cameras and ReNew Houston, but I didn’t do the same city-versus-not-city comparisons that year, almost certainly because 2010 was such a miserable year and I just didn’t want to spend any more time thinking about it than I had to.

Looking back at those earlier years, Beto fell short of the top performers in Houston, which in 2008 and 2012 was Adrian Garcia and which in 2018 was himself, but he did better in non-Houston Harris County. That’s consistent with what I’ve said before about how Democrats have overall grown their vote in the former strong Republican areas, while falling short on turnout – this year, at least – in the strong Democratic areas. Note how even the lowest scorers this year exceeded Obama’s performance in non-Houston by three or four points in 2008 and four or five points in 2012, while doing about as well in Houston. As I’ve said, Harris County is more Democratic now. This is another way of illustrating that.

Here’s the same breakdown for the countywide races:


Candidates    Houston   Not Hou    Hou%    Not%
===============================================
Hidalgo       294,968   257,935  59.79%  43.39%
Mealer        198,286   336,434  40.19%  56.59%

Burgess       290,267   255,860  60.14%  43.81%
Daniel        192,368   328,119  39.86%  56.19%

Hudspeth      293,030   256,624  60.84%  44.00%
Stanart       188,573   326,633  39.16%  56.00%

Wyatt         293,352   256,862  60.86%  44.00%
Scott         188,623   326,849  39.14%  56.00%

No third party candidates here, just a write-in who got a handful of votes for County Judge, so the percentages mostly add up to 100. More or less the same story here, with the distinction between Houston and not-Houston being smaller than in prior years. There won’t be any citywide propositions in 2024, not if we have them this coming November, but I’ll try to use the precinct data I have here to analyze that election. In what should be a stronger Democratic year, I’ll be very interested to see how things change. As always, let me know if you have any questions.

Precinct analysis: County executive offices

Jan 9th, 2023

by Charles Kuffner.

1 comment

PREVIOUSLY
Beto versus Abbott
Beto versus the spread
Hidalgo versus Mealer
Better statewide races
Not as good statewide races

County races appear towards the bottom of the ballot, after all of the federal and state races. With the exception of County Judge, which is the first county office to appear, the other county races come after any county judicial elections, which we know in a non-presidential year is another two dozen, on top of all of the state judicial races you’ve just slogged through. In addition, unlike Presidential years when higher profile county offices like Sheriff and County Attorney and Tax Assessor appear (District Attorney is a state office), the ones on this ballot are low profile and mostly clerical in nature. You’d think this would be a recipe for a lot of indifference, but you’d be wrong.

District Clerk


Dist   Daniel  Burgess
======================
HD126  37,324   21,321
HD127  40,530   24,529
HD128  32,461   12,922
HD129  38,729   24,583
HD130  46,537   18,686
HD131   6,206   24,390
HD132  36,431   23,448
HD133  36,406   22,666
HD134  34,947   43,974
HD135  17,150   22,829
HD137   8,475   12,264
HD138  33,169   22,469
HD139  12,722   30,247
HD140   6,030   12,441
HD141   4,753   20,212
HD142   9,326   24,514
HD143   8,856   14,935
HD144  12,051   13,606
HD145  14,698   29,537
HD146   9,455   31,723
HD147  10,255   35,167
HD148  16,522   19,677
HD149  12,365   18,661
HD150  35,089   21,326
						
CC1    76,230  193,216
CC2    99,401  100,543
CC3   227,842  132,864
CC4   117,014  119,504
						
JP1    69,316  114,700
JP2    22,682   28,410
JP3    36,215   40,683
JP4   175,012  119,960
JP5   149,310  134,380
JP6     5,571   16,529
JP7    12,934   64,034
JP8    49,447   27,431

Dist  Daniel% Burgess%
======================
HD126  63.64%   36.36%
HD127  62.30%   37.70%
HD128  71.53%   28.47%
HD129  61.17%   38.83%
HD130  71.35%   28.65%
HD131  20.28%   79.72%
HD132  60.84%   39.16%
HD133  61.63%   38.37%
HD134  44.28%   55.72%
HD135  42.90%   57.10%
HD137  40.87%   59.13%
HD138  59.62%   40.38%
HD139  29.61%   70.39%
HD140  32.65%   67.35%
HD141  19.04%   80.96%
HD142  27.56%   72.44%
HD143  37.22%   62.78%
HD144  46.97%   53.03%
HD145  33.23%   66.77%
HD146  22.96%   77.04%
HD147  22.58%   77.42%
HD148  45.64%   54.36%
HD149  39.85%   60.15%
HD150  62.20%   37.80%
		
CC1    28.29%   71.71%
CC2    49.71%   50.29%
CC3    63.17%   36.83%
CC4    49.47%   50.53%
		
JP1    37.67%   62.33%
JP2    44.39%   55.61%
JP3    47.09%   52.91%
JP4    59.33%   40.67%
JP5    52.63%   47.37%
JP6    25.21%   74.79%
JP7    16.80%   83.20%
JP8    64.32%   35.68%

County Clerk


Dist  Stanart Hudspeth
======================
HD126  37,148   21,466
HD127  40,320   24,703
HD128  32,499   12,847
HD129  38,545   24,668
HD130  46,489   18,687
HD131   6,108   24,414
HD132  36,340   23,537
HD133  35,551   23,419
HD134  33,450   45,266
HD135  17,148   22,783
HD137   8,351   12,378
HD138  32,881   22,695
HD139  12,541   30,343
HD140   6,042   12,353
HD141   4,662   20,252
HD142   9,132   24,642
HD143   8,824   14,858
HD144  12,065   13,483
HD145  14,403   29,681
HD146   9,172   31,975
HD147   9,910   35,410
HD148  16,397   19,705
HD149  12,239   18,708
HD150  34,989   21,381
						
CC1    73,858  195,066
CC2    99,209  100,166
CC3   226,675  133,751
CC4   115,464  120,671
						
JP1    67,346  116,157
JP2    22,622   28,241
JP3    35,962   40,821
JP4   174,354  120,349
JP5   147,642  135,687
JP6     5,490   16,504
JP7    12,417   64,481
JP8    49,373   27,414

Dist Stanart%Hudspeth%
======================
HD126  63.38%   36.62%
HD127  62.01%   37.99%
HD128  71.67%   28.33%
HD129  60.98%   39.02%
HD130  71.33%   28.67%
HD131  20.01%   79.99%
HD132  60.69%   39.31%
HD133  60.29%   39.71%
HD134  42.49%   57.51%
HD135  42.94%   57.06%
HD137  40.29%   59.71%
HD138  59.16%   40.84%
HD139  29.24%   70.76%
HD140  32.85%   67.15%
HD141  18.71%   81.29%
HD142  27.04%   72.96%
HD143  37.26%   62.74%
HD144  47.22%   52.78%
HD145  32.67%   67.33%
HD146  22.29%   77.71%
HD147  21.87%   78.13%
HD148  45.42%   54.58%
HD149  39.55%   60.45%
HD150  62.07%   37.93%
		
CC1    27.46%   72.54%
CC2    49.76%   50.24%
CC3    62.89%   37.11%
CC4    48.90%   51.10%
		
JP1    36.70%   63.30%
JP2    44.48%   55.52%
JP3    46.84%   53.16%
JP4    59.16%   40.84%
JP5    52.11%   47.89%
JP6    24.96%   75.04%
JP7    16.15%   83.85%
JP8    64.30%   35.70%

County Treasurer


Dist    Scott    Wyatt
======================
HD126  37,264   21,436
HD127  40,378   24,663
HD128  32,433   12,955
HD129  38,523   24,788
HD130  46,578   18,647
HD131   6,062   24,496
HD132  36,413   23,479
HD133  35,705   23,303
HD134  33,479   45,200
HD135  17,156   22,790
HD137   8,369   12,377
HD138  32,829   22,780
HD139  12,576   30,341
HD140   5,929   12,518
HD141   4,682   20,256
HD142   9,167   24,621
HD143   8,706   15,000
HD144  11,924   13,703
HD145  14,410   29,702
HD146   9,159   31,995
HD147  10,015   35,364
HD148  16,333   19,766
HD149  12,214   18,772
HD150  35,168   21,262
						
CC1    74,077  194,887
CC2    98,597  101,176
CC3   227,110  133,538
CC4   115,688  120,613
						
JP1    67,326  116,212
JP2    22,460   28,561
JP3    35,972   40,808
JP4   174,785  120,166
JP5   147,814  135,680
JP6     5,410   16,643
JP7    12,496   64,441
JP8    49,209   27,703

Dist   Scott%   Wyatt%
======================
HD126  63.48%   36.52%
HD127  62.08%   37.92%
HD128  71.46%   28.54%
HD129  60.85%   39.15%
HD130  71.41%   28.59%
HD131  19.84%   80.16%
HD132  60.80%   39.20%
HD133  60.51%   39.49%
HD134  42.55%   57.45%
HD135  42.95%   57.05%
HD137  40.34%   59.66%
HD138  59.04%   40.96%
HD139  29.30%   70.70%
HD140  32.14%   67.86%
HD141  18.77%   81.23%
HD142  27.13%   72.87%
HD143  36.72%   63.28%
HD144  46.53%   53.47%
HD145  32.67%   67.33%
HD146  22.26%   77.74%
HD147  22.07%   77.93%
HD148  45.25%   54.75%
HD149  39.42%   60.58%
HD150  62.32%   37.68%
		
CC1    27.54%   72.46%
CC2    49.35%   50.65%
CC3    62.97%   37.03%
CC4    48.96%   51.04%
		
JP1    36.68%   63.32%
JP2    44.02%   55.98%
JP3    46.85%   53.15%
JP4    59.26%   40.74%
JP5    52.14%   47.86%
JP6    24.53%   75.47%
JP7    16.24%   83.76%
JP8    63.98%   36.02%

Despite appearing so much lower on the ballot, the per-district vote totals in these races are about the same for the two major parties. They’re lower overall because there are no third party candidates in these races, and that lack of mostly Libertarians does seem to be better for the Republicans than the Democrats. Not enough to swing any individual district – only the two swing Commissioners Court precincts are that close to begin with, and the Dems prevailed in all three races here anyway.

The simple fact is that despite the lack of straight-ticket voting, and the often-complained-about length of the ballot, people voted to the bottom of it anyway. There were more people who skipped these races than did so for Railroad Commissioner, the last of the statewide executive offices, but not that much more. About 40K people on average skipped these three races, compared with a bit less than 23K for RRC. That looks like a significant difference, but it’s still less than four percent of the total turnout. Putting it another way, more than 96% of the people who cast a ballot in November of 2022 cast a ballot in these three races.

That is slightly less than it was in 2018, the last year of straight ticket voting, when nearly 97% of the people who voted cast ballots in these races, plus the two countywide HCDE races; to put it another way, the undervote rate in these races was generally between 2.5 and 3 percent. Some people will skip races that are not of interest to them, I will absolutely stipulate to that. I’m just saying it’s not as much as you might think.

Two more things: One is that the undervote rate was higher in judicial races. I’ll go into more detail on those in subsequent posts, but even there it topped out at about five percent. I’m here to tell you, because I’ve looked at this before, the undervote rate in City Council races is much higher than that, and that’s a much shorter ballot. The other thing, and this may be my favorite bit of data from this election, is that there were about 800 more votes in the Treasurer race than there were in the County Clerk race, which was immediately before the Treasurer’s race on the ballot. Carla Wyatt, the Treasurer-elect, won more than 60% of those 800+ extra votes. Why did those eight hundred and some people vote in the Treasurer’s race but not the County Clerk’s race? I have no idea. But they did, and finding little oddities like that always delights me. I hope it at least amuses you. Let me know if you have any questions.

Precinct analysis: The not-as-good statewide races

Jan 2nd, 2023

by Charles Kuffner.

2 comments

PREVIOUSLY
Beto versus Abbott
Beto versus the spread
Hidalgo versus Mealer
Better statewide races

The difference between these statewide races and the ones we have already looked at, including the Governor’s race, is very simple: These Republican candidates did better than the ones we have seen, and the Democrats did less well. The Dems in the first four races we analyzed all topped 53% of the vote in Harris County. The high score with these three is Jay Kleberg’s 51.11%. Luke Warford, who had a Green opponent as well as a Libertarian opponent, fell short of a majority in Harris County, getting 49.95% for a plurality. Let’s see how this breaks down.

Comptroller


Dist    Hegar  Dudding     Lib
==============================
HD126  36,931   21,555   1,269
HD127  40,053   24,746   1,441
HD128  32,350   12,795   1,014
HD129  38,119   24,936   1,559
HD130  46,320   18,701   1,229
HD131   6,114   24,275     906
HD132  36,340   23,387   1,259
HD133  35,123   24,187   1,043
HD134  32,915   46,611   1,330
HD135  17,107   22,475   1,135
HD137   8,263   12,428     646
HD138  32,580   23,012   1,269
HD139  12,325   30,301   1,174
HD140   5,761   12,183   1,066
HD141   4,586   20,094     815
HD142   8,957   24,548     997
HD143   8,538   14,611   1,218
HD144  11,734   13,368   1,167
HD145  13,855   29,642   1,839
HD146   9,031   32,118     953
HD147   9,676   35,412   1,338
HD148  16,203   19,567   1,251
HD149  12,278   18,681     882
HD150  34,841   21,318   1,294
							
CC1    72,584  195,779   6,893
CC2    97,146   99,729   7,605
CC3   225,304  134,394   7,641
CC4   114,966  121,049   5,955
							
JP1    65,832  117,292   5,140
JP2    22,125   28,127   2,055
JP3    35,715   40,576   2,117
JP4   173,366  120,182   6,806
JP5   146,733  136,478   6,730
JP6     5,130   16,223   1,342
JP7    12,325   64,437   1,904
JP8    48,774   27,636   2,000

Dist   Hegar% Dudding%    Lib%
==============================
HD126  61.80%   36.07%   2.12%
HD127  60.47%   37.36%   2.18%
HD128  70.08%   27.72%   2.20%
HD129  58.99%   38.59%   2.41%
HD130  69.92%   28.23%   1.86%
HD131  19.54%   77.57%   2.90%
HD132  59.59%   38.35%   2.06%
HD133  58.20%   40.08%   1.73%
HD134  40.71%   57.65%   1.64%
HD135  42.01%   55.20%   2.79%
HD137  38.73%   58.25%   3.03%
HD138  57.30%   40.47%   2.23%
HD139  28.14%   69.18%   2.68%
HD140  30.31%   64.09%   5.61%
HD141  17.99%   78.82%   3.20%
HD142  25.96%   71.15%   2.89%
HD143  35.04%   59.96%   5.00%
HD144  44.67%   50.89%   4.44%
HD145  30.56%   65.38%   4.06%
HD146  21.45%   76.29%   2.26%
HD147  20.84%   76.28%   2.88%
HD148  43.77%   52.85%   3.38%
HD149  38.56%   58.67%   2.77%
HD150  60.64%   37.11%   2.25%
			
CC1    26.37%   71.13%   2.50%
CC2    47.51%   48.77%   3.72%
CC3    61.33%   36.59%   2.08%
CC4    47.51%   50.03%   2.46%
			
JP1    34.97%   62.30%   2.73%
JP2    42.30%   53.77%   3.93%
JP3    45.55%   51.75%   2.70%
JP4    57.72%   40.01%   2.27%
JP5    50.61%   47.07%   2.32%
JP6    22.60%   71.48%   5.91%
JP7    15.67%   81.91%   2.42%
JP8    62.20%   35.25%   2.55%

Land Commissioner


Dist     Buck  Kleberg     Grn   W-I
====================================
HD126  36,849   21,629   1,070     1
HD127  40,131   24,789   1,092     0
HD128  32,446   12,873     706     9
HD129  38,169   25,015   1,149     3
HD130  46,145   18,886     963     5
HD131   6,081   24,219     829     1
HD132  36,155   23,542   1,053     2
HD133  34,565   24,654     915     2
HD134  31,902   47,475   1,190     6
HD135  17,116   22,492     963     1
HD137   8,141   12,532     562     2
HD138  32,324   23,310     968     2
HD139  12,258   30,317   1,025     1
HD140   5,859   12,433     613     3
HD141   4,635   20,039     691     3
HD142   8,984   24,532     839     4
HD143   8,646   14,845     732     5
HD144  11,869   13,567     682     4
HD145  13,820   30,044   1,276     3
HD146   8,914   32,076     990     0
HD147   9,684   35,282   1,243     1
HD148  16,142   19,762     959     2
HD149  12,314   18,717     714     0
HD150  34,884   21,411   1,016     3
								
CC1    71,640  196,243   6,241    17
CC2    97,762  100,816   4,930    24
CC3   224,673  135,288   6,151    14
CC4   113,958  122,094   4,918     8
								
JP1    64,874  118,648   3,973    11
JP2    22,268   28,432   1,306     7
JP3    35,847   40,620   1,612     8
JP4   173,174  120,696   5,428    13
JP5   145,487  137,664   5,652    10
JP6     5,253   16,428     881     4
JP7    12,214   64,137   2,011     2
JP8    48,916   27,816   1,377     8

Dist    Buck% Kleberg%    Grn%  W-I%
====================================
HD126  61.88%   36.32%   1.80% 0.00%
HD127  60.79%   37.55%   1.65% 0.00%
HD128  70.48%   27.96%   1.53% 0.02%
HD129  59.33%   38.88%   1.79% 0.00%
HD130  69.92%   28.62%   1.46% 0.01%
HD131  19.53%   77.80%   2.66% 0.00%
HD132  59.51%   38.75%   1.73% 0.00%
HD133  57.48%   41.00%   1.52% 0.00%
HD134  39.59%   58.92%   1.48% 0.01%
HD135  42.19%   55.44%   2.37% 0.00%
HD137  38.33%   59.01%   2.65% 0.01%
HD138  57.11%   41.18%   1.71% 0.00%
HD139  28.11%   69.53%   2.35% 0.00%
HD140  30.99%   65.76%   3.24% 0.02%
HD141  18.27%   78.99%   2.72% 0.01%
HD142  26.15%   71.40%   2.44% 0.01%
HD143  35.69%   61.27%   3.02% 0.02%
HD144  45.44%   51.94%   2.61% 0.02%
HD145  30.61%   66.55%   2.83% 0.01%
HD146  21.23%   76.41%   2.36% 0.00%
HD147  20.96%   76.35%   2.69% 0.00%
HD148  43.79%   53.61%   2.60% 0.01%
HD149  38.79%   58.96%   2.25% 0.00%
HD150  60.86%   37.36%   1.77% 0.01%
				
CC1    26.13%   71.58%   2.28% 0.01%
CC2    48.03%   49.53%   2.42% 0.01%
CC3    61.36%   36.95%   1.68% 0.00%
CC4    47.29%   50.67%   2.04% 0.00%
				
JP1    34.60%   63.28%   2.12% 0.01%
JP2    42.81%   54.66%   2.51% 0.01%
JP3    45.91%   52.02%   2.06% 0.01%
JP4    57.86%   40.32%   1.81% 0.00%
JP5    50.37%   47.67%   1.96% 0.00%
JP6    23.28%   72.80%   3.90% 0.02%
JP7    15.59%   81.84%   2.57% 0.00%
JP8    62.62%   35.61%   1.76% 0.01%

Railroad Commissioner


Dist    Chris  Warford     Lib     Grn
======================================
HD126  36,287   21,192   1,384     648
HD127  39,533   24,297   1,535     651
HD128  32,057   12,551     995     399
HD129  37,473   24,455   1,607     766
HD130  45,640   18,396   1,369     597
HD131   5,986   23,853     942     400
HD132  35,684   22,981   1,395     627
HD133  34,391   23,900   1,215     616
HD134  31,677   46,420   1,533     844
HD135  16,804   21,988   1,227     559
HD137   8,017   12,261     612     350
HD138  31,928   22,708   1,350     641
HD139  12,044   29,784   1,169     555
HD140   5,685   11,976     991     277
HD141   4,527   19,765     784     332
HD142   8,851   24,073   1,025     411
HD143   8,457   14,290   1,159     373
HD144  11,679   13,015   1,125     328
HD145  13,535   29,065   1,855     677
HD146   8,716   31,720     927     581
HD147   9,406   34,678   1,363     730
HD148  15,938   19,168   1,217     514
HD149  12,101   18,269     925     429
HD150  34,404   20,882   1,366     623
								
CC1   70,449   192,875   7,107   3,563
CC2   95,951    97,604   7,402   2,627
CC3  221,887   132,181   8,202   3,726
CC4  112,533   119,027   6,359   3,012
								
JP1   63,938   115,819   5,264   2,359
JP2   21,846    27,531   2,021     648
JP3   35,348    39,739   2,132     865
JP4  170,806   118,025   7,219   3,145
JP5  143,838   134,221   7,231   3,484
JP6    5,019    15,850   1,277     447
JP7   11,907    63,400   1,926   1,109
JP8   48,118    27,102   2,000     871

Dist   Chris% Warford%    Lib%    Grn%
======================================
HD126  60.98%   35.61%   2.33%   1.09%
HD127  59.88%   36.80%   2.33%   0.99%
HD128  69.69%   27.28%   2.16%   0.87%
HD129  58.28%   38.03%   2.50%   1.19%
HD130  69.15%   27.87%   2.07%   0.90%
HD131  19.20%   76.50%   3.02%   1.28%
HD132  58.80%   37.87%   2.30%   1.03%
HD133  57.20%   39.75%   2.02%   1.02%
HD134  39.36%   57.68%   1.90%   1.05%
HD135  41.41%   54.19%   3.02%   1.38%
HD137  37.74%   57.73%   2.88%   1.65%
HD138  56.38%   40.10%   2.38%   1.13%
HD139  27.65%   68.39%   2.68%   1.27%
HD140  30.03%   63.27%   5.24%   1.46%
HD141  17.82%   77.79%   3.09%   1.31%
HD142  25.76%   70.06%   2.98%   1.20%
HD143  34.83%   58.86%   4.77%   1.54%
HD144  44.67%   49.78%   4.30%   1.25%
HD145  29.99%   64.40%   4.11%   1.50%
HD146  20.78%   75.62%   2.21%   1.39%
HD147  20.37%   75.10%   2.95%   1.58%
HD148  43.27%   52.03%   3.30%   1.40%
HD149  38.14%   57.59%   2.92%   1.35%
HD150  60.07%   36.46%   2.38%   1.09%
				
CC1    25.71%   70.39%   2.59%   1.30%
CC2    47.13%   47.94%   3.64%   1.29%
CC3    60.63%   36.12%   2.24%   1.02%
CC4    46.71%   49.40%   2.64%   1.25%
				
JP1    34.12%   61.81%   2.81%   1.26%
JP2    41.97%   52.90%   3.88%   1.25%
JP3    45.27%   50.89%   2.73%   1.11%
JP4    57.09%   39.45%   2.41%   1.05%
JP5    49.81%   46.48%   2.50%   1.21%
JP6    22.21%   70.15%   5.65%   1.98%
JP7    15.20%   80.93%   2.46%   1.42%
JP8    61.62%   34.71%   2.56%   1.12%

Not too surprisingly, what we see in all three of these races is…more votes for the Republican candidate and fewer votes for the Democrat across the precincts, with a couple of exceptions here and there. The effect was generally stronger in the Republican districts than in the Democratic ones, with HDs 133 and 134 being the most notable.

The total number of votes in these elections is comparable – the number declines gently as you go down the ballot, but more undervoting does not explain the shifts in percentages. In a few cases you can see a greater number of third-party votes, which can explain a part of a Democratic vote decline, but again the overall effect is too small to be generally explanatory. The only logical conclusion is that across the board, some number of people who votes for Beto and Collier and Garza and Hays also voted for Glenn Hegar and Dawn Buckingham and Wayne Christian.

The question then is why. To me, the most likely explanation is that the most visible Republicans, the ones most likely to loudly and visibly stake out unpopular and divisive positions – and yes, this means “unpopular”, or at least “less popular” with Republicans, with opposing marijuana reform and expanded gambling and rape/incest exceptions for abortion – are losing votes that their lower profile/less visibly extreme colleagues are not losing.

This makes sense to me, but as it agrees with my priors, I’d like to check it. I’m pretty sure I’ve expressed this sentiment before, but if I had the power and the funds I’d order a study, to try to identify these voters and ask them why they did what they did. Not out of disbelief or derision but curiosity, to get a better understanding. Maybe other Democratic candidates could get them with the right message, and if they were the right candidates. Maybe they just didn’t know enough about the Dems in these races to be in a position to consider them. Maybe a strategy that attempts to maximize Democratic turnout overall – we have already discussed how Dems fell short in this election on that front – would make them less likely to cross over, even for Republicans they don’t approve of. We can speculate all week, but there’s only one way to find out. I really wish I could make that happen.

One more thing to note is that despite the lesser Democratic performance, these candidates all still carried the three Commissioner Court precincts that are now Democratic. I’ll be paying closer attention to these precincts, because this isn’t always the case going forward. In the meantime, let me know what you think.

Precinct analysis: The better statewide races

Dec 30th, 2022

by Charles Kuffner.

4 comments

PREVIOUSLY
Beto versus Abbott
Beto versus the spread
Hidalgo versus Mealer

As noted before, Greg Abbott got 490K votes in Harris County, far less than the 559K he received in 2018 running against Lupe Valdez. Of the other six races for statewide executive offices, three were similar in nature to the Governor’s race and three were friendlier to Republicans. This post is about the first three, and those are the races for Lite Guv, Attorney General, and Ag Commissioner. For those of you whose memories stretch back as far as 2018, yes those were the three best races for Dems after the Beto-Cruz race for Senate as well. Let’s look at the numbers.

Lieutenant Governor


Dist  Patrick  Collier     Lib
==============================
HD126  35,244   23,460   1,482
HD127  38,578   26,405   1,691
HD128  31,548   13,748   1,148
HD129  36,347   26,966   1,802
HD130  44,307   20,934   1,434
HD131   5,886   24,670     933
HD132  34,417   25,498   1,374
HD133  31,931   27,421   1,396
HD134  28,262   51,502   1,828
HD135  16,373   23,514   1,050
HD137   7,690   13,164     650
HD138  30,328   25,534   1,383
HD139  11,536   31,304   1,246
HD140   5,850   12,681     647
HD141   4,494   20,290     851
HD142   8,641   25,030   1,043
HD143   8,469   15,270     804
HD144  11,551   14,029     854
HD145  12,368   32,031   1,449
HD146   8,285   33,018   1,148
HD147   8,809   36,618   1,383
HD148  15,383   20,840   1,065
HD149  11,923   19,315     824
HD150  33,548   22,898   1,431

CC1    65,573  204,223   7,632
CC2    94,272  105,549   6,218
CC3   214,555  146,441   8,815
CC4   107,368  129,927   6,251
							
JP1    58,698  126,202   5,083
JP2    21,608   29,498   1,599
JP3    34,975   41,776   2,126
JP4   166,204  128,604   7,578
JP5   137,161  147,432   7,185
JP6     4,941   17,062     885
JP7    11,370   65,643   2,250
JP8    46,811   29,923   2,210

Dist Patrick% Collier%    Lib%
==============================
HD126  58.56%   38.98%   2.46%
HD127  57.86%   39.60%   2.54%
HD128  67.93%   29.60%   2.47%
HD129  55.82%   41.41%   2.77%
HD130  66.45%   31.40%   2.15%
HD131  18.69%   78.34%   2.96%
HD132  56.16%   41.60%   2.24%
HD133  52.56%   45.14%   2.30%
HD134  34.64%   63.12%   2.24%
HD135  40.00%   57.44%   2.56%
HD137  35.76%   61.22%   3.02%
HD138  52.98%   44.60%   2.42%
HD139  26.17%   71.01%   2.83%
HD140  30.50%   66.12%   3.37%
HD141  17.53%   79.15%   3.32%
HD142  24.89%   72.10%   3.00%
HD143  34.51%   62.22%   3.28%
HD144  43.70%   53.07%   3.23%
HD145  26.98%   69.86%   3.16%
HD146  19.52%   77.78%   2.70%
HD147  18.82%   78.23%   2.95%
HD148  41.25%   55.89%   2.86%
HD149  37.19%   60.24%   2.57%
HD150  57.96%   39.56%   2.47%

CC1    23.64%   73.61%   2.75%
CC2    45.75%   51.23%   3.02%
CC3    58.02%   39.60%   2.38%
CC4    44.09%   53.35%   2.57%
			
JP1    30.90%   66.43%   2.68%
JP2    41.00%   55.97%   3.03%
JP3    44.34%   52.96%   2.70%
JP4    54.96%   42.53%   2.51%
JP5    47.01%   50.53%   2.46%
JP6    21.59%   74.55%   3.87%
JP7    14.34%   82.82%   2.84%
JP8    59.30%   37.90%   2.80%

Attorney General


Dist   Paxton    Garza     Lib
==============================
HD126  35,146   23,166   1,681
HD127  38,480   26,208   1,817
HD128  31,566   13,692   1,110
HD129  36,386   26,643   1,914
HD130  44,397   20,427   1,713
HD131   5,857   24,875     694
HD132  34,454   25,125   1,539
HD133  31,901   26,700   1,898
HD134  28,201   50,706   2,371
HD135  16,314   23,615     964
HD137   7,704   13,091     643
HD138  30,154   25,204   1,732
HD139  11,438   31,372   1,145
HD140   5,605   13,078     466
HD141   4,487   20,489     610
HD142   8,580   25,228     859
HD143   8,346   15,595     594
HD144  11,375   14,337     662
HD145  12,220   32,097   1,425
HD146   8,320   32,991     999
HD147   8,731   36,766   1,206
HD148  15,221   20,981   1,035
HD149  11,876   19,423     706
HD150  33,382   22,726   1,595
							
CC1    65,204  204,223   7,257
CC2    93,611  106,606   5,426
CC3   214,042  144,575  10,162
CC4   107,284  129,131   6,533
							
JP1    58,125  125,740   5,522
JP2    21,364   29,906   1,317
JP3    34,843   42,072   1,833
JP4   165,760  127,783   8,087
JP5   136,969  146,132   7,898
JP6     4,815   17,369     687
JP7    11,411   65,835   1,804
JP8    46,854   29,698   2,230

Dist  Paxton%   Garza%    Lib%
==============================
HD126  58.58%   38.61%   2.80%
HD127  57.86%   39.41%   2.73%
HD128  68.08%   29.53%   2.39%
HD129  56.03%   41.03%   2.95%
HD130  66.73%   30.70%   2.57%
HD131  18.64%   79.15%   2.21%
HD132  56.37%   41.11%   2.52%
HD133  52.73%   44.13%   3.14%
HD134  34.70%   62.39%   2.92%
HD135  39.89%   57.75%   2.36%
HD137  35.94%   61.06%   3.00%
HD138  52.82%   44.15%   3.03%
HD139  26.02%   71.37%   2.60%
HD140  29.27%   68.30%   2.43%
HD141  17.54%   80.08%   2.38%
HD142  24.75%   72.77%   2.48%
HD143  34.02%   63.56%   2.42%
HD144  43.13%   54.36%   2.51%
HD145  26.72%   70.17%   3.12%
HD146  19.66%   77.97%   2.36%
HD147  18.69%   78.72%   2.58%
HD148  40.88%   56.34%   2.78%
HD149  37.11%   60.69%   2.21%
HD150  57.85%   39.38%   2.76%
			
CC1    23.57%   73.81%   2.62%
CC2    45.52%   51.84%   2.64%
CC3    58.04%   39.20%   2.76%
CC4    44.16%   53.15%   2.69%
			
JP1    30.69%   66.39%   2.92%
JP2    40.63%   56.87%   2.50%
JP3    44.25%   53.43%   2.33%
JP4    54.95%   42.36%   2.68%
JP5    47.07%   50.22%   2.71%
JP6    21.05%   75.94%   3.00%
JP7    14.44%   83.28%   2.28%
JP8    59.47%   37.70%   2.83%

Dan Patrick (481K votes) and Ken Paxton (480K) were the two low scorers among Republicans. Mike Collier and Rochelle Garza both had leads against them of just over 100K votes, right in line with Beto’s lead against Abbott. That’s not as robust as what Dems did in 2018 as we know, but I can’t blame Collier and Garza for that. They were still top scorers, it was mostly that the environment wasn’t as good for them.

Overall, it looks like Collier and Garza did about as well percentage-wise as Beto did. Collier actually did a tiny bit better in HD133, and both did better in HD134. In some cases, like HD132 and HD138, Collier and Garza were about equal with Beto but Patrick and Paxton were a point or two behind Abbott. That looks to me to be the effect of the larger Libertarian vote in those races – there were about 29K Lib votes in these two races, while there were about 16K third party and write-in votes for Governor. At least in those cases, you can make the claim that the Libertarian received votes that might have otherwise gone to the Republican.

In the Ag Commissioner race, Sid Miller got 507K votes to top Abbott’s total, but he was aided by not having any third party candidates. Susan Hays did pretty well compared to the other Dems in that straight up two-way race:

Ag Commissioner


Dist   Miller     Hays
======================
HD126  36,872   22,678
HD127  40,060   25,992
HD128  32,447   13,641
HD129  38,091   26,236
HD130  46,273   19,792
HD131   6,091   25,170
HD132  36,189   24,576
HD133  34,548   25,581
HD134  31,793   48,687
HD135  17,174   23,491
HD137   8,207   13,090
HD138  32,276   24,389
HD139  12,291   31,372
HD140   5,904   13,079
HD141   4,667   20,779
HD142   9,047   25,391
HD143   8,631   15,710
HD144  11,849   14,344
HD145  13,871   31,301
HD146   8,922   33,114
HD147   9,761   36,482
HD148  16,238   20,657
HD149  12,270   19,513
HD150  34,895   22,408
						
CC1    71,746  202,649
CC2    97,753  106,167
CC3   224,670  141,583
CC4   114,198  127,074
						
JP1    64,850  122,675
JP2    22,256   29,898
JP3    35,923   42,332
JP4   173,381  126,119
JP5   145,619  143,496
JP6     5,243   17,412
JP7    12,266   66,242
JP8    48,829   29,299

Dist  Miller%    Hays% 
=======================
HD126  61.92%   38.08%
HD127  60.65%   39.35%
HD128  70.40%   29.60%
HD129  59.21%   40.79%
HD130  70.04%   29.96%
HD131  19.48%   80.52%
HD132  59.56%   40.44%
HD133  57.46%   42.54%
HD134  39.50%   60.50%
HD135  42.23%   57.77%
HD137  38.54%   61.46%
HD138  56.96%   43.04%
HD139  28.15%   71.85%
HD140  31.10%   68.90%
HD141  18.34%   81.66%
HD142  26.27%   73.73%
HD143  35.46%   64.54%
HD144  45.24%   54.76%
HD145  30.71%   69.29%
HD146  21.22%   78.78%
HD147  21.11%   78.89%
HD148  44.01%   55.99%
HD149  38.61%   61.39%
HD150  60.90%   39.10%
		
CC1    26.15%   73.85%
CC2    47.94%   52.06%
CC3    61.34%   38.66%
CC4    47.33%   52.67%
		
JP1    34.58%   65.42%
JP2    42.67%   57.33%
JP3    45.91%   54.09%
JP4    57.89%   42.11%
JP5    50.37%   49.63%
JP6    23.14%   76.86%
JP7    15.62%   84.38%
JP8    62.50%   37.50%

Miller was definitely a slight notch up from the first three. How much of that is the lack of a third choice versus some other consideration I couldn’t say, but you can see it in the numbers.

I’ll get into it a bit more in the next post when we look at the higher-scoring Republicans, but my sense is that these three Dems, plus Beto, received some crossovers. Beto and Collier and Garza had enough money to at least run some ads, while Hays was still running against perhaps the highest-profile (read: got the most negative news for his ridiculous actions) incumbent after those three. We have definitely seen races like this, certainly in elections going back to 2016 – Hillary versus Trump, Biden versus Trump, Beto and the Lite Guv/AG/Ag Commish triumvirate this year and 2018. We saw it with Bill White in 2010, too – as I’ve observed in the past, White received something like 300K votes from people who otherwise voted Republican. That’s a lot! Democrats can persuade at least some Republicans to vote for their statewide candidates, but only under some conditions. If we can get the baseline vote to be closer, that could be enough to push some people over the top. We’re still working on the first part of that equation.

Like I said, I’ll get into that a bit more in the next post. Looking at what I’ve written here, I need to do a post about third party votes, too. Let me know what you think.

Precinct analysis: Hidalgo versus Mealer

Dec 29th, 2022

by Charles Kuffner.

6 comments

PREVIOUSLY
Beto versus Abbott
Beto versus the spread

We’ve looked at the Governor’s race, in which Beto was the top Democratic performer. Now we’ll look at the next highest profile race, in which the result was a surprise to some people who didn’t connect Democratic performance at the top of the ticket with the other local races. Here’s the data for the County Judge race, in which Judge Lina Hidalgo won re-election by a close margin, though on a percentage basis it was slightly wider than her initial win in 2018. As with the first Beto post, I’m just going to dump all the data and will add my comments at the end.


Dist   Mealer  Hidalgo    W-I
=============================
CD02   77,665   46,669     21
CD07   53,108   77,625     29
CD08   46,156   45,668     17
CD09   23,451   71,374     29
CD18   46,492  107,792     46
CD22   13,292    8,076      2
CD29   33,392   66,220     27
CD36   70,392   41,817     24
CD38  170,772   87,662     46

CD02   62.45%   37.53%  0.02%
CD07   40.61%   59.36%  0.02%
CD08   50.26%   49.73%  0.02%
CD09   24.72%   75.25%  0.03%
CD18   30.13%   69.85%  0.03%
CD22   62.20%   37.79%  0.01%
CD29   33.51%   66.46%  0.03%
CD36   62.72%   37.26%  0.02%
CD38   66.07%   33.91%  0.02%

Dist   Mealer  Hidalgo    W-I
=============================
SD04   58,925   34,135     14
SD06   45,259   81,877     39
SD07  163,993   97,075     50
SD11   60,351   32,991     17
SD13   25,998   96,440     45
SD15   97,303  146,861     50
SD17   64,692   46,518     22
SD18   18,199   17,006      4

SD04   63.31%   36.68%  0.02%
SD06   35.59%   64.38%  0.03%
SD07   62.80%   37.18%  0.02%
SD11   64.64%   35.34%  0.02%
SD13   21.23%   78.74%  0.04%
SD15   39.84%   60.14%  0.02%
SD17   58.16%   41.82%  0.02%
SD18   51.69%   48.30%  0.01%

Dist   Mealer  Hidalgo    W-I
=============================
HD126  38,281   21,401     17
HD127  41,603   24,533      5
HD128  33,175   12,968     12
HD129  39,519   24,982     11
HD130  47,660   18,606     13
HD131   6,519   24,611     13
HD132  37,180   23,721      7
HD133  36,909   23,379     11
HD134  35,653   45,142     16
HD135  17,620   22,982      7
HD137   8,600   12,670      9
HD138  33,875   22,977      9
HD139  13,492   30,143     11
HD140   6,238   12,885      5
HD141   5,209   20,104     17
HD142   9,939   24,454      7
HD143   9,087   15,412      6
HD144  12,242   14,069      9
HD145  15,445   30,141     11
HD146   9,975   31,981     11
HD147  10,964   35,240     12
HD148  16,934   20,004      8
HD149  12,496   19,196      4
HD150  36,105   21,302     10

HD126  64.12%   35.85%  0.03%
HD127  62.90%   37.09%  0.01%
HD128  71.88%   28.10%  0.03%
HD129  61.26%   38.72%  0.02%
HD130  71.91%   28.07%  0.02%
HD131  20.93%   79.03%  0.04%
HD132  61.04%   38.95%  0.01%
HD133  61.21%   38.77%  0.02%
HD134  44.12%   55.86%  0.02%
HD135  43.39%   56.59%  0.02%
HD137  40.42%   59.54%  0.04%
HD138  59.58%   40.41%  0.02%
HD139  30.91%   69.06%  0.03%
HD140  32.61%   67.36%  0.03%
HD141  20.56%   79.37%  0.07%
HD142  28.89%   71.09%  0.02%
HD143  37.08%   62.89%  0.02%
HD144  46.51%   53.45%  0.03%
HD145  33.87%   66.10%  0.02%
HD146  23.77%   76.21%  0.03%
HD147  23.72%   76.25%  0.03%
HD148  45.83%   54.14%  0.02%
HD149  39.42%   60.56%  0.01%
HD150  62.88%   37.10%  0.02%

Dist   Mealer  Hidalgo    W-I
=============================
CC1    80,014  194,272     79
CC2   101,745  103,117     48
CC3   233,567  133,554     63
CC4   119,394  121,960     51

CC1    29.16%   70.81%  0.03%
CC2    49.65%   50.32%  0.02%
CC3    63.61%   36.37%  0.02%
CC4    49.46%   50.52%  0.02%

Dist   Mealer  Hidalgo    W-I
=============================
JP1    71,793  116,463     40
JP2    23,249   29,149     10
JP3    37,340   40,840     31
JP4   180,017  119,979     60
JP5   152,130  137,293     52
JP6     5,840   17,018      5
JP7    13,972   64,220     27
JP8    50,379   27,941     16

JP1    38.13%   61.85%  0.02%
JP2    44.36%   55.62%  0.02%
JP3    47.74%   52.22%  0.04%
JP4    59.99%   39.99%  0.02%
JP5    52.55%   47.43%  0.02%
JP6    25.54%   74.43%  0.02%
JP7    17.86%   82.10%  0.03%
JP8    64.31%   35.67%  0.02%

Hidalgo got 50.78% of the vote, which is 3.25 points less than Beto. She got 553K votes, which is 42K less than Beto. Mealer got 534K votes, 44K more than Abbott. Third party candidates accounted for over 16K votes in the Governor’s race, while the write-in candidate for County Judge got 241 total votes. I do not and never will understand anyone who thinks that writing in a candidate for County Judge could possibly be productive, but that’s not important right now.

For the most part, Hidalgo’s performance in each district is about what you’d expect in comparison to Beto. Generally speaking, she did a couple of points worse. The two glaring exceptions to this are HDs 133 and 134, both wealthy, well-educated, predominantly white districts that, in keeping with recent trends, are a lot more Democratic than they used to be. Hidalgo trailed Beto by six points in HD133 and seven in HD134. If I were the New York Times, I’d spend the next six months visiting brunch counters in those districts to talk to more-in-sadness-than-in-anger Mealer voters, who will turn out to have been almost uniformly Ed Emmett voters in 2018 but who will insist that they really wanted to support Hidalgo, they largely agreed with her on how she handled the pandemic and all, but for reasons they can’t quite articulate they just couldn’t. I’m sure it would be compelling reading, but I don’t have the staff or the budget for that. Plus, the idea of it makes me gag, so it’s just as well.

Anyway. The other notable thing is that with the lone exception of JP/Constable Precinct 5, Hidalgo still carried every district Beto carried. (I’m not concerning myself with fractional districts like CD08.) I was worried that if Hidalgo lost, there was a real chance Dems could lose not one but both of the Commissioners Court races as well. Looking at the numbers, it’s not an irrational fear. I’ll have more to say about those Commissioners Court precincts later, so let’s put a pin in that for now.

We have to talk about the many millions of dollars spent by various wealthy wingnuts against Judge Hidalgo and Democratic criminal court judges. We can’t say for certain how much all that spending affected the final outcomes, but it’s impossible to think it had no effect. What I wonder about is whether there will be much appetite for that kind of spending in future races. For sure, it’s hard to imagine much money spent on Republicans locally in 2024. Democrats haven’t lost a judicial race in a Presidential year since 2012, and haven’t lost a majority of judicial races in a Presidential year since 2004. In 2020, eleven Democratic judicial candidates were unopposed. I won’t be surprised if that number is matched or exceeded in 2024. I won’t speculate about 2026 – at the very least, Republicans will have four incumbents to try to defend, so they’ll want to do something – but I don’t see them having a $25 million budget. Maybe Judge Hidalgo will have an easier time of it as well.

I’ll have more to say about judicial races later. In the meantime, let me know what you think.

Precinct analysis: Beto versus the spread

Dec 19th, 2022

by Charles Kuffner.

1 comment

PREVIOUSLY
Beto versus Abbott

So last time we saw the numbers for the 2022 Governor’s race. But what numbers need in order to be meaningful is context, and that means other numbers to compare them to. We’re going to do that in a few different ways, and we’ll start with the numbers from the Texas Redistricting Council for these new districts. Specifically, the numbers from 2018 and 2020.


Dist    Abbott    Beto     Cruz    Beto
=======================================
HD126   35,835  23,627   38,851  26,028
HD127   39,102  26,791   40,573  28,326
HD128   31,983  13,915   32,586  15,892
HD129   37,118  27,144   38,281  29,112
HD130   44,983  20,891   42,747  20,968
HD131    5,963  25,387    5,628  33,440
HD132   35,079  25,603   32,220  23,431
HD133   33,195  26,971   34,930  30,329
HD134   29,592  51,010   32,114  54,514
HD135   16,443  24,121   16,162  27,762
HD137    7,860  13,421    8,713  19,309
HD138   31,077  25,464   32,754  28,778
HD139   11,643  32,115   11,599  38,842
HD140    5,717  13,400    5,393  19,532
HD141    4,549  20,922    4,459  28,096
HD142    8,666  25,793    8,265  29,705
HD143    8,420  16,047    8,751  23,602
HD144   11,566  14,683   12,511  21,278
HD145   12,631  32,765   12,101  37,672
HD146    8,511  33,610    9,227  40,111
HD147    8,952  37,366    9,575  45,020
HD148   15,451  21,460   16,281  26,815
HD149   12,068  19,844   12,097  27,142
HD150   33,857  23,303   33,084  23,466


Dist   Abbott%   Beto%    Cruz%   Beto%
=======================================
HD126   59.37%  39.14%   59.40%  39.80%
HD127   58.50%  40.08%   59.30%  40.00%
HD128   68.66%  29.87%   66.80%  32.60%
HD129   56.80%  41.53%   56.30%  42.80%
HD130   67.29%  31.25%   66.60%  32.70%
HD131   18.78%  79.96%   14.30%  85.20%
HD132   57.06%  41.64%   57.50%  41.80%
HD133   54.41%  44.21%   53.10%  46.10%
HD134   36.16%  62.34%   36.80%  62.40%
HD135   39.97%  58.63%   35.00%  64.40%
HD137   36.32%  62.01%   30.90%  68.40%
HD138   54.09%  44.32%   52.80%  46.40%
HD139   26.25%  72.41%   22.90%  76.50%
HD140   29.36%  68.82%   21.50%  78.00%
HD141   17.61%  80.98%   13.60%  85.80%
HD142   24.79%  73.80%   21.60%  77.80%
HD143   33.86%  64.53%   26.90%  72.50%
HD144   43.34%  55.02%   36.80%  62.50%
HD145   27.31%  70.85%   24.10%  75.00%
HD146   19.95%  78.80%   18.60%  80.70%
HD147   19.04%  79.49%   17.40%  81.90%
HD148   41.18%  57.19%   37.50%  61.70%
HD149   37.31%  61.36%   30.60%  68.70%
HD150   58.34%  40.15%   58.10%  41.20%

Greg Abbott got 490K votes in 2022, whereas Ted Cruz got 498K in 2018. It’s therefore not a surprise that Abbott generally matched Cruz’s vote totals in the districts, with a bit of variation here and there. Beto, meanwhile, got 595K votes in 2022 after getting 700K in 2018, a significant drop. You can clearly see that in the district data. What’s interesting to me is that Beto was pretty close to his 2018 performance for the most part in Republican districts. His dropoff was almost entirely in strong Democratic districts, which accounts for the decrease in vote percentage he got. This is consistent with reports that Republicans had the turnout advantage nationally, due in part to weaker Democratic turnout among Black voters.

You can shrug your shoulders about this or freak out for What It All Means for 2024 as you see fit. I tend to lean towards the former, but I will readily acknowledge that the job of working to get turnout back to where we want it for 2024 starts today. I’ll have more to say about this in future posts as well, but let me open the bidding by saying that the target for Democratic turnout in Harris County in 2024, if we want to make a serious run at winning the state for the Democratic Presidential nominee, is one million Democratic votes; it may actually need to be a little higher than that, but that’s the minimum. It’s doable – Biden got 918K in 2020, after all. Ed Gonzalez got 903K in his re-election for Sheriff. Really, we may need to aim for 1.1 million, in order to win the county by at least 300K votes, which is what I think will be needed to close the statewide gap. Whether we can do that or not I don’t know, but it’s where we need to aim.

I also want to emphasize the “Abbott got more or less the same number of votes in each district as Cruz did” item to push back as needed on any claims about Abbott’s performance among Latino voters. His improvement in percentage is entirely due to Beto getting fewer votes, not him getting more. That’s cold comfort from a big picture perspective for Democrats, and as we saw in 2020 a greater-than-expected share of the lower-propensity Latino voters picked Trump, so we’re hardly in the clear for 2024. All I’m saying is that claims about Abbott improving his standing with Latino voters need to be examined skeptically. Remember that if we compared Abbott to Abbott instead of Beto to Beto, he got 559K votes in 2018, so he dropped off quite a bit as well. He got fewer votes in each of the Latino districts in 2022 than he did in 2018:

HD140 – Abbott 6,466 in 2018, 5,717 in 2022
HD143 – Abbott 10,180 in 2018, 8,420 in 2022
HD144 – Abbott 13,996 in 2018, 11,566 in 2022
HD145 – Abbott 15,227 in 2018, 12,631 in 2022
HD148 – Abbott 18,438 in 2018, 15,541 in 2022

So yeah, perspective. I suppose I could have done the Governor-to-Governor comparison instead, but I was more interested in Beto’s performance, so that’s the route I took. Beto would look better from a percentage viewpoint if I had done it that way. There’s always more than one way to do it.

One last thing on turnout: In 2014, Wendy Davis led the Democratic ticket with 320K votes in Harris County. Beto was at over 401K even before Election Day. His total is almost twice what Davis got. We can certainly talk about 2022 being “low turnout”, but we’re in a completely different context now.


Dist    Abbott    Beto    Trump   Biden
=======================================
HD126   35,835  23,627   50,023  35,306
HD127   39,102  26,791   53,148  38,332
HD128   31,983  13,915   46,237  21,742
HD129   37,118  27,144   51,219  38,399
HD130   44,983  20,891   58,867  29,693
HD131    5,963  25,387   10,413  42,460
HD132   35,079  25,603   46,484  35,876
HD133   33,195  26,971   42,076  40,475
HD134   29,592  51,010   38,704  66,968
HD135   16,443  24,121   26,190  40,587
HD137    7,860  13,421   12,652  24,885
HD138   31,077  25,464   42,002  37,617
HD139   11,643  32,115   17,014  49,888
HD140    5,717  13,400   10,760  24,045
HD141    4,549  20,922    8,070  38,440
HD142    8,666  25,793   13,837  41,332
HD143    8,420  16,047   15,472  28,364
HD144   11,566  14,683   20,141  25,928
HD145   12,631  32,765   18,390  45,610
HD146    8,511  33,610   12,408  51,984
HD147    8,952  37,366   14,971  55,602
HD148   15,451  21,460   24,087  34,605
HD149   12,068  19,844   21,676  35,904
HD150   33,857  23,303   45,789  34,151

Dist   Abbott%   Beto%   Trump%  Biden%
=======================================
HD126   59.37%  39.14%   57.80%  40.80%
HD127   58.50%  40.08%   57.30%  41.30%
HD128   68.66%  29.87%   67.10%  31.60%
HD129   56.80%  41.53%   56.20%  42.20%
HD130   67.29%  31.25%   65.50%  33.00%
HD131   18.78%  79.96%   19.50%  79.60%
HD132   57.06%  41.64%   55.60%  42.90%
HD133   54.41%  44.21%   50.30%  48.40%
HD134   36.16%  62.34%   36.10%  62.50%
HD135   39.97%  58.63%   38.70%  59.90%
HD137   36.32%  62.01%   33.20%  65.40%
HD138   54.09%  44.32%   52.00%  46.60%
HD139   26.25%  72.41%   25.10%  73.70%
HD140   29.36%  68.82%   30.60%  68.30%
HD141   17.61%  80.98%   17.20%  81.80%
HD142   24.79%  73.80%   24.80%  74.10%
HD143   33.86%  64.53%   34.90%  64.00%
HD144   43.34%  55.02%   43.20%  55.60%
HD145   27.31%  70.85%   28.30%  70.10%
HD146   19.95%  78.80%   19.00%  79.80%
HD147   19.04%  79.49%   20.90%  77.60%
HD148   41.18%  57.19%   40.50%  58.10%
HD149   37.31%  61.36%   37.20%  61.70%
HD150   58.34%  40.15%   56.50%  42.10%

Obviously, the vote totals don’t compare – over 1.6 million people voted in 2020, a half million more than this year. But for the most part, Beto was within about a point of Biden’s percentage, and even did better in a couple of districts. Abbott did best in the Republican districts compared to Trump. As we’ll see when we look at the other statewide races, Abbott (and Dan Patrick and Ken Paxton) was one of the lower performers overall among Republicans, as was the case for Trump in 2020, but maybe there were slightly fewer Republican defectors this year.

It will take an improvement on the 2020 Biden and 2018 Beto numbers for Dems to put any State Rep districts into play, with HD138 being the first in line; remember that HD133 was a bit of an outlier, with a lot of Republican crossovers for Biden. Incumbency has its advantages, and as we have seen Dem performance can be a lot more variable downballot than at the top, especially when the top has the most divisive Republicans, so it will take more than just (say) Biden getting 50.1% in HD138 for Rep. Lacy Hull to really be in danger. It’s more that this will be another incentive to really work on boosting overall turnout. Having a good candidate in place, which I think Stephanie Morales was this year, and making sure that person has the financial and logistical support they need (which she didn’t have) will be key.

I’ll have more to say as we go along. Please let me know what you think and ask any questions you may have.

Precinct analysis: Beto versus Abbott

Dec 14th, 2022

by Charles Kuffner.

2 comments

All right, I have the full landscape data for Harris County and the November 2022 election, and I’ll be doing my usual thing with it. There’s a lot of data and a lot of ways to explore it, some of which I don’t realize until I’m in the process of looking at something else. I’m going to start here with the top of the ticket. Let’s roll out the numbers, and at the other side I’ll have all the words.


Dist   Abbott     Beto     Lib     Grn
======================================
CD02   73,159   50,757   1,333     445
CD07   45,780   84,973   1,545     452
CD08   43,294   48,380     860     371
CD09   20,661   74,545     788     504
CD18   39,628  115,106   1,562     703
CD22   12,585    8,669     264      83
CD29   30,228   69,265     920     778
CD36   66,728   44,969   1,410     439
CD38  158,198   98,989   3,130     751

CD02   58.20%   40.38%   1.06%   0.35%
CD07   34.49%   64.01%   1.16%   0.34%
CD08   46.60%   52.07%   0.93%   0.40%
CD09   21.41%   77.25%   0.82%   0.52%
CD18   25.24%   73.32%   0.99%   0.45%
CD22   58.26%   40.13%   1.22%   0.38%
CD29   29.87%   68.45%   0.91%   0.77%
CD36   58.77%   39.60%   1.24%   0.39%
CD38   60.60%   37.92%   1.20%   0.29%

Dist   Abbott     Beto     Lib     Grn
======================================
SD04   55,846   36,950   1,005     312
SD06   41,043   85,936   1,225     927
SD07  153,513  106,557   2,933     853
SD11   57,156   35,725   1,214     339
SD13   22,813  100,559     958     680
SD15   83,653  160,077   2,850     932
SD17   59,143   51,734   1,307     363
SD18   17,094   18,115     320     120

SD04   59.34%   39.26%   1.07%   0.33%
SD06   31.78%   66.55%   0.95%   0.72%
SD07   58.18%   40.38%   1.11%   0.32%
SD11   60.52%   37.83%   1.29%   0.36%
SD13   18.25%   80.44%   0.77%   0.54%
SD15   33.80%   64.67%   1.15%   0.38%
SD17   52.55%   45.97%   1.16%   0.32%
SD18   47.95%   50.81%   0.90%   0.34%

Dist   Abbott     Beto     Lib     Grn
======================================
HD126  35,835   23,627     711     185
HD127  39,102   26,791     722     221
HD128  31,983   13,915     513     171
HD129  37,118   27,144     864     227
HD130  44,983   20,891     775     198
HD131   5,963   25,387     231     169
HD132  35,079   25,603     627     173
HD133  33,195   26,971     684     156
HD134  29,592   51,010   1,044     181
HD135  16,443   24,121     369     208
HD137   7,860   13,421     245     116
HD138  31,077   25,464     708     209
HD139  11,643   32,115     394     199
HD140   5,717   13,400     166     187
HD141   4,549   20,922     210     156
HD142   8,666   25,793     289     204
HD143   8,420   16,047     208     192
HD144  11,566   14,683     260     178
HD145  12,631   32,765     623     228
HD146   8,511   33,610     333     200
HD147   8,952   37,366     476     216
HD148  15,451   21,460     435     175
HD149  12,068   19,844     256     173
HD150  33,857   23,303     669     204

HD126  59.37%   39.14%   1.18%   0.31%
HD127  58.50%   40.08%   1.08%   0.33%
HD128  68.66%   29.87%   1.10%   0.37%
HD129  56.80%   41.53%   1.32%   0.35%
HD130  67.29%   31.25%   1.16%   0.30%
HD131  18.78%   79.96%   0.73%   0.53%
HD132  57.06%   41.64%   1.02%   0.28%
HD133  54.41%   44.21%   1.12%   0.26%
HD134  36.16%   62.34%   1.28%   0.22%
HD135  39.97%   58.63%   0.90%   0.51%
HD137  36.32%   62.01%   1.13%   0.54%
HD138  54.09%   44.32%   1.23%   0.36%
HD139  26.25%   72.41%   0.89%   0.45%
HD140  29.36%   68.82%   0.85%   0.96%
HD141  17.61%   80.98%   0.81%   0.60%
HD142  24.79%   73.80%   0.83%   0.58%
HD143  33.86%   64.53%   0.84%   0.77%
HD144  43.34%   55.02%   0.97%   0.67%
HD145  27.31%   70.85%   1.35%   0.49%
HD146  19.95%   78.80%   0.78%   0.47%
HD147  19.04%   79.49%   1.01%   0.46%
HD148  41.18%   57.19%   1.16%   0.47%
HD149  37.31%   61.36%   0.79%   0.53%
HD150  58.34%   40.15%   1.15%   0.35%

Dist   Abbott     Beto     Lib     Grn
======================================
CC1    67,070  207,830   2,747   1,167
CC2    95,270  108,943   2,266   1,188
CC3   218,228  147,384   4,148   1,218
CC4   109,693  131,496   2,651     953

CC1    24.06%   74.54%   0.99%   0.42%
CC2    45.88%   52.46%   1.09%   0.57%
CC3    58.83%   39.73%   1.12%   0.33%
CC4    44.81%   53.72%   1.08%   0.39%

Dist   Abbott     Beto     Lib     Grn
======================================
JP1    60,159  127,746   2,343     728
JP2    21,749   30,575     520     300
JP3    35,283   42,924     715     405
JP4   168,373  130,575   3,308   1,100
JP5   140,459  148,609   3,076   1,101
JP6     4,970   17,898     228     168
JP7    11,615   67,072     582     414
JP8    47,653   30,254   1,040     310

JP1    31.50%   66.89%   1.23%   0.38%
JP2    40.92%   57.53%   0.98%   0.56%
JP3    44.48%   54.11%   0.90%   0.51%
JP4    55.50%   43.04%   1.09%   0.36%
JP5    47.90%   50.68%   1.05%   0.38%
JP6    21.36%   76.93%   0.98%   0.72%
JP7    14.58%   84.17%   0.73%   0.52%
JP8    60.12%   38.17%   1.31%   0.39%

My notes:

– Going forward, for the most part, I’m going to skip the Congressional and State Senate districts. Most of them are not wholly contained within Harris County – only CDs 18, 29, and 38, and SDs 06 and 15 are fully represented here – so I don’t find there’s sufficient value for the added work. When we get the Texas Legislative Council dataset for the 2022 election, then I’ll return to these districts plus the SBOE districts (none of which are entirely within Harris County now that SBOE6 extends into Montgomery). Also note that CD10 no longer includes any of Harris County.

– I will have a separate post on this, but if you’re wondering how Beto did compared to expectations on the new maps, see here and here for a first look. There will be more, I promise.

– Beto was the top performer for Dems in Harris County, getting 54.03% of the vote. That makes his performance in the precincts the best case scenario (usually), at least for this election. He would be a top performer but not the top performer in 2020 or 2018, so this is hardly an upper bound. For districts that Dems would ideally like to target, like HDs 133 and 138, this shows where we’re starting out in an okay but not great year.

– Honestly, I don’t have a whole lot to say here. I think the more interesting stuff will come when I look at the comparisons to past years and when I look at some of the other races. Even without looking at past data, there wasn’t much of a surprise in anything here. All of the districts performed more or less as you’d expect. The one item of interest may be Beto carrying (barely) JP/Constable precinct 5, given our previous discussion of those precincts. I’m sure we could draw six, maybe even seven Democratic precincts, though whether we could do that while equalizing population and not violating the Voting Rights Act is another question. For sure, we could make five solid Dem precincts.

– So I’ll end here, with a note that I will also look at how the vote went in the city of Houston, the split in the statewide races, the easy passage of the Harris County bonds, and a very deep dive into judicial races. All this and more, coming up soon. Let me know if you have any questions.

State and county election result relationships: Tarrant County

Dec 12th, 2022

by Charles Kuffner.

2 comments

In years past, Tarrant County was a pretty close bellwether for election results in the state of Texas. From 2004 through 2016, the closeness of their Presidential numbers with the statewide numbers was eerie. But since 2018 the talk has been about how Tarrant is on the verge of turning blue, which puts it at least a little to the left of the state as a whole. As I did before with Harris County, I thought I’d take a closer look at how statewide candidates have done in Tarrant County compared to the state overall, to see what it might tell me. We start as we did with Harris in the distant past of 2002:


2002                 2004                   2006
State Tarrant  Diff   State Tarrant  Diff   State Tarrant  Diff
===================   ===================   ===================
43.33   41.27 -2.06   38.22   37.01 -1.21   36.04   34.80 -1.24
39.96   38.53 -1.43   40.94   37.36 -3.58   29.79   31.07  1.28
46.03   42.63 -3.40   40.77   38.06 -2.71   37.45   37.06 -0.39
41.08   37.76 -3.32   42.14   39.15 -2.99   37.23   36.99 -0.24
32.92   30.86 -2.06                         37.01   36.41 -0.60
41.48   37.94 -3.54                         40.96   40.67 -0.29
37.82   34.85 -2.97                         41.79   40.86 -0.93
41.49   39.02 -2.47                         41.73   40.52 -1.21
40.51   37.55 -2.96                         44.89   42.79 -2.10
41.54   38.73 -2.81                         43.35   41.56 -1.79
41.89   38.49 -3.40								
43.24   39.74 -3.50								
45.90   42.26 -3.64								
39.15   35.90 -3.25								
42.61   39.20 -3.41								
40.01   36.92 -3.09								
										
Min   -3.64           Min   -3.58           Min   -2.10
Max   -1.43           Max   -1.21           Max    1.28
Avg   -2.96           Avg   -2.62           Avg   -0.75

You can read the earlier posts for the explanation of the numbers. The bottom line is that in early to mid Aughts, Tarrant was more Republican overall than the rest of the state. As was the case with Harris, there was a step in the Democratic direction in 2006, with the chaotic multi-candidate Governor’s race providing the first Democrat to do better in Tarrant than in the state, but it was still about a point more Republican than overall.


2008                  2010                  2012
State Tarrant  Diff   State Tarrant  Diff   State Tarrant  Diff
===================   ===================   ===================
43.68   43.73  0.05   42.30   40.98 -1.32   41.38   41.43  0.05
42.84   42.52 -0.32   34.83   34.97  0.14   40.62   40.41 -0.21
44.35   43.39 -0.96   33.66   33.90  0.24   39.60   39.20 -0.40
43.79   43.47 -0.32   35.29   35.24 -0.05   41.91   41.40 -0.51
45.88   44.16 -1.72   35.80   35.83  0.03   41.24   40.31 -0.93
44.63   43.51 -1.12   36.24   35.64 -0.60				
45.53   43.81 -1.72   37.26   35.39 -1.87				
43.75   42.49 -1.26   37.00   35.97 -1.03				
                      35.62   35.17 -0.45				
                      36.62   36.05 -0.57				
										
Min   -1.72           Min   -1.87            Min   -0.93
Max    0.05           Max    0.24            Max    0.05
Avg   -0.92           Avg   -0.55            Avg   -0.40

Still slightly on the Republican side as we move into elections that feel more familiar to us – as I’ve said before, looking at those elections from 2002 through 2006 is like visiting a foreign country – and you can see how dead on the Tarrant Presidential numbers were. Tarrant was a bit more Republican in the judicial races than in the executive office and Senate races, but otherwise not much else to say.


2014                  2016
State Tarrant  Diff   State Tarrant  Diff
===================   ===================
34.36   36.13  1.77   43.24   43.14 -0.10
38.90   41.08  2.18   38.38   38.62  0.24
38.71   39.53  0.82   38.53   38.43 -0.10
38.02   38.91  0.89   41.18   40.49 -0.69
37.69   38.67  0.98   39.36   39.58  0.22
35.32   36.49  1.17   40.05   39.75 -0.30
36.84   38.14  1.30   40.20   40.91  0.71
37.25   38.43  1.18   40.89   40.59 -0.30
36.49   38.02  1.53				
37.60   38.41  0.81				
36.54   38.00  1.46				
						
Min    0.81           Min   -0.69
Max    2.18           Max    0.71
Avg    1.28           Avg   -0.04

I wouldn’t have guessed that 2014 would be the year that Tarrant County officially became (slightly) more Democratic than the state as a whole, but here we are. Maybe because 2014 was such a miserable year, maybe because Wendy Davis was the Dem nominee for Governor, maybe it was just time. It wasn’t quite the start of a trend, as things snapped back a bit in 2016, but a threshold had been crossed.


2018                  2020                  2022
State Tarrant  Diff   State Tarrant  Diff   State Tarrant  Diff
===================   ===================   ===================
48.33   49.93  1.60   46.48	49.31  2.83   43.81   47.24  3.43
42.51   43.75  1.24   43.87	46.18  2.31   43.44   47.36  3.92
46.49   47.25  0.76   43.56	45.25  1.69   43.62   46.80  3.18
47.01   48.11  1.10   44.49	46.71  2.22   40.91   44.33  3.42
43.39   44.70  1.31   44.08	46.14  2.06   42.10   44.90  2.80
43.19   43.99  0.80   44.76	47.23  2.47   43.63   46.72  3.09
46.41   47.37  0.96   44.35	46.50  2.15   40.51   43.83  3.32
43.91   44.85  0.94   45.18	47.38  2.20   41.81   45.14  3.33
46.83   47.86  1.03   44.70	47.03  2.33   42.87   46.36  3.49
46.29   47.44  1.15   45.47	47.91  2.44   43.55   46.75  3.20
46.29   47.68  1.39                           43.02   46.48  3.46
45.48   46.24  0.76                           42.74   46.22  3.48
45.85   47.14  1.29								
										
Min    0.76           Min    1.69            Min    2.80
Max    1.60           Max    2.83            Max    3.92
Avg    1.10           Avg    2.27            Avg    3.34

And thus, despite the small hiccup of 2016, the ball moved ever forward. It would be easy to look at the Tarrant County results in 2022, especially at the top, compare them to 2018 and 2020, and declare that Tarrant had backslid, but as you can see that would be a misreading of the data. I’m going to step a little out on a limb here and say that Tarrant will be Democratic at a Presidential level again in 2024, and there’s a good chance that will be true elsewhere on the statewide ballot as well. Going by the average gap in 2022, two other Dems would have carried Tarrant County in 2018. If the trend we see here continues, getting to about 45% statewide would probably be enough to win Tarrant in 2024. Please feel free to point at this and laugh at me if this turns out to be wildly off base. Until then, I’ll do this same exercise for a couple more counties, just for the fun of it.

Precinct analysis: Specifically, my precincts

Dec 4th, 2022

by Charles Kuffner.

4 comments

I’m still waiting for the full landscape canvass data from Harris County – things are a bit up in the air right now because of the lawsuit filed by the local GOP, but I expect to get that data soon, and when I do I’ll do the usual set of analyses on it for you. In the meantime, I’ve been idly speculating about my own precincts in the Heights. I saw a lot of Mealer signs around, which is in part because she lives in the neighborhood, but it got me wondering if there was a significant crossover vote for her here. I never saw a yard that had both a Beto sign and a Mealer sign in it, but maybe those who voted that way wanted to keep it on the down low. The only way to know is to look at the data.

So I went to the canvass reports that are available now on the HarrisVotes website. I specifically wanted to see what the vote for Beto looked like versus what the Lina Hidalgo vote looked like in the two precincts around where I live and where I spend most of my time. For comparison, I did the same for 2018, to see how much Beto/Emmett crossover there was. It’s a limited look – I’ll be able to learn much more when I have the full landscape report – but all I’m looking for here is quick and dirty. That will do for now.

Here are the numbers. I added the vote totals for the two precincts. The percentages include the third party (and for 2022 County Judge, write in) candidates, so they don’t sum to 100. Note that precincts were redrawn last year, and the net effect is that there are more voters in them in 2022 than in 2018.


Year  Candidate   Vote    Pct
=============================
2018       Beto  1,819  72.0%
2018       Cruz    674  26.7%

2018    Hidalgo  1,205  49.2%
2018     Emmett  1,169  47.8%

2022       Beto  2,546  70.2%
2022     Abbott  1,019  28.1%

2022    Hidalgo  2,279  63.6%
2022     Mealer  1,302  36.3%

So yes, there were Beto/Mealer voters in my neighborhood. That’s not surprising, given that Beto got 54% of the vote and 595K votes total, while Hidalgo got under 51% and 553K votes. As I said, I won’t know if our neighborhood was substantially different than others in the improvement that Mealer had over Abbott until I get the full picture. She did fall well short of Ed Emmett in 2018, getting a bit more than half as many crossovers as he did then. Again, not a big surprise given Beto’s 58% versus Hidalgo’s 49% four years ago. Indeed, my neighborhood was a pretty good proxy for the count as a whole in the County Judge’s race in 2018, but it was significantly more Democratic in that race this year. Make of all that what you will.

From a turnout perspective, in 2018 2,527 of 3,431 registered voters came out, for 73.7% of the total. In 2022, it was 3,641 out of 5,298, or 68.7% turnout. The county as a whole declined from 52.86% to 43.54%, so again not a surprise. If anything, the decline was less steep here than elsewhere. But a decline it was.

Anyway, that’s what there is for this comparison. I will of course look at this in more depth once I have the data I need.

Precinct analysis: How the 2022 Harris County State Rep candidates did versus the 2020 and 2018 results

Nov 28th, 2022

by Charles Kuffner.

1 comment

I still don’t have a full canvass of Harris County, so I’m looking around to see what kind of analyses I can do in the meantime. For this post, I’m comparing how the candidates in the contested State Rep contests did against the 2020 and 2018 numbers that we saw in the redistricting reports. This isn’t my preferred kind of comparison – there are too many uncontested races, some “contested” races really aren’t because of poor candidate quality, incumbents tend to have a bit of an edge – but it’s what we’ve got for now. My impressions of the numbers for the new State Rep districts are here, and the Texas Legislative Council reports can be found here for 2020 and here for 2018. First up is 2020:


Dist   Biden   Trump   Hegar  Cornyn     Dem     Rep
====================================================
128    31.6%   67.1%   30.6%   67.2%   29.5%   70.5%
129    42.2%   56.2%   39.4%   58.0%   39.2%   60.8%
131    79.6%   19.5%   77.3%   19.9%   80.5%   19.5%
132    42.9%   55.6%   40.0%   57.6%   40.3%   59.7%
133    48.4%   50.3%   43.2%   54.9%   36.4%   61.4%
134    62.5%   36.1%   56.6%   41.7%   61.6%   37.1%
135    59.9%   38.7%   57.5%   39.4%   57.6%   42.4%
138    46.6%   52.0%   42.8%   55.0%   42.9%   57.1%
145    70.1%   28.3%   66.2%   30.8%   71.3%   28.7%
148    58.1%   40.5%   55.3%   41.7%   55.5%   42.6%
149    61.7%   37.2%   59.7%   37.5%   59.8%   37.7%
150    42.1%   56.5%   39.5%   57.9%   39.3%   60.7%

Biden generally outperformed the rest of the ticket by two or three points, more in some places like HDs 133 and 134. It’s clear he drew some crossover votes, so matching his performance is a sign of great strength. MJ Hegar was more of a typical Dem performer, and ideally a Dem in 2022 would do at least as well as she did. Note that most of the individual State Rep races were straight up D versus R, but in the cases where the percentages don’t add up to 100, assume there was a third party candidate as well. Most Dems met the Hegar standard, with incumbent Reps. Alma Allen (HD131) and Christina Morales (HD145) outdoing even the Biden number. On the other side, HD133 GOP candidate Mano DeAyala easily stomped a Democrat whose existence even I didn’t know about.

On to 2018:


Dist    Beto    Cruz  Valdez  Abbott     Dem     Rep
====================================================
128    32.6%   66.8%   29.1%   69.7%   29.5%   70.5%
129    42.8%   56.3%   36.8%   61.5%   39.2%   60.8%
131    85.2%   14.3%   80.4%   18.5%   80.5%   19.5%
132    41.8%   57.5%   36.2%   62.3%   40.3%   59.7%
133    46.1%   53.1%   37.9%   60.3%   36.4%   61.4%
134    62.4%   36.8%   52.5%   45.3%   61.6%   37.1%
135    64.4%   35.0%   59.4%   39.2%   57.6%   42.4%
138    46.4%   52.8%   39.6%   58.7%   42.9%   57.1%
145    75.0%   24.1%   67.5%   30.4%   71.3%   28.7%
148    62.7%   37.5%   56.1%   42.4%   55.5%   42.6%
149    68.7%   30.6%   64.0%   34.8%   59.8%   37.7%
150    41.2%   58.1%   36.3%   62.4%   39.3%   60.7%

Beto and Valdez represented the top and bottom of the scale for Dems this year. It’s clear that Dems fell short of the 2018 standard this year, with the 2022 version of Beto being somewhat above the Valdez line. In general, Biden did about as well in most districts as Beto had done two years before, though there are exceptions, of which HDs 135 and 149 are the most interesting. I don’t want to read too much into any single number here – this was a year I’d classify as an underperforming one for Dems overall, though at a much higher baseline than we were used to for off years, and I’d expect better numbers in 2024. Dems have the same targets as before in HDs 132 and 138, while if I were the Republicans I’d take a closer look at what’s going on in 135 and 148. The actual me really wants to see the full canvass data to see how the broader ticket did in these districts. Let me know what you think.

Precinct analysis: Early voting versus Election Day

Nov 21st, 2022

by Charles Kuffner.

Comments are off for this post

In his pre-election analyses of the early vote, Republican consultant Derek Ryan (whose numbers I have used in the past) suggested that there was still a significant number of regular Republican voters who had not voted yet, which could make Election Day redder than early voting was. I thought I’d take a look at the data to see how accurate that was. Short answer: Pretty accurate.


Candidate   Early%  E-Day%  Total%  Ratio
=========================================
Abbott     53.75%   57.05%  54.80%   1.06
Beto       45.14%   40.98%  43.81%   0.91
Others      1.11%    1.97%   1.39%   1.77

Note that “Early” here includes mail ballots, as the Secretary of State website combines mail ballots with early in person ballots to give that number. “Ratio” is just the Election Day percentage divided by the Early percentage, which you can interpret to mean that Abbott did about six percent better on Election Day while Beto did about nine percent worse. The Others include the Libertarian and Green candidates plus two write-ins. I am greatly amused by the fact that their voters are the real traditionalists for voting on Tuesday.

If you’ve followed the numbers from Harris County, you know that Democrats overall did at least as well on Election Day as they had done in early voting. I assumed there was a range of outcomes here, so I sorted the data by Abbott’s Ratio, to see where he did best and worst – relatively speaking – on Election Day. Here are a few counties of interest for each. First, where he improved on Election Day:


County                Abbott     Beto  Others
=============================================
Travis Early          24.07%   74.83%   1.10%
Travis E-Day          30.52%   66.96%   2.52%

Bastrop Early         53.93%   44.58%   1.50%
Bastrop E-Day         64.15%   33.53%   2.32%

Williamson Early      47.73%   50.94%   1.33%
Williamson E-Day      54.19%   43.20%   2.62%

Hays Early            42.52%   56.01%   1.46%
Hays E-Day            46.87%   50.30%   2.84%

Bowie Early           73.12%   25.96%   0.92%
Bowie E-Day           80.32%   18.17%   1.52%

Dallas Early          34.85%   64.18%   0.97%
Dallas E-Day          38.08%   60.02%   1.90%

There are numerous small counties in there that I haven’t listed, I’m just highlighting the ones of interest. Travis County was in fact the top Ratio value for Greg Abbott – he did 29% better on Election Day than he did in early voting. This is where I point out that “doing better (or worse) on Election Day” is not the same as doing well (or poorly). That said, Abbott did well enough on Election Day in Williamson County to nudge past Beto’s vote total for that county. Now here are a few where Abbott dropped off on Election Day:


County                Abbott     Beto  Others
=============================================
Fort Bend Early       47.58%   51.07%   1.35%
Fort Bend E-Day       44.72%   52.94%   2.33%

Lubbock Early         70.30%   28.64%   1.06%
Lubbock E-Day         67.54%   30.49%   1.97%

Harris Early          45.06%   53.79%   1.15%
Harris E-Day          43.31%   54.45%   2.24%

Gregg Early           73.76%   25.52%   0.72%
Gregg E-Day           71.09%   27.35%   1.56%

Jefferson Early       56.56%   42.33%   1.10%
Jefferson E-Day       54.61%   43.38%   2.01%

It’s interesting to me to see Central Texas counties filling up that first table, while the Houston area is more present in the second one. I could have included Waller, Wharton, and Chambers in the latter as well. Whether that’s a fluke or a tendency, I couldn’t tell you. But it’s finding weird things like this that makes doing this kind of exercise so much fun.

Does any of this matter on a more macro level? Again, I don’t know. Honestly, I don’t think it matters that much, in the sense that the votes all count the same and from the perspective of a campaign’s win number it doesn’t make a difference. It’s certainly nice to have a bunch of votes banked before Election Day – if nothing else, it mitigates some risk from bad weather and technical difficulties at voting locations. But ultimately, either your voters show up in the numbers you need or they don’t. I think this data is interesting, and it may suggest some strategies for how better to deploy campaign resources. Beyond that, it’s what you make of it.

On comparing counties from 2018 to 2022

Nov 19th, 2022

by Charles Kuffner.

1 comment

I started with this.

Voters in counties across Texas chose GOP leaders over Democrats at a higher rate than they did four years ago, a Dallas Morning News analysis shows.

The findings, based on data as of noon on Wednesday, reflect that an overwhelming number of counties — 205 out of 254 — favored Republicans. Those counties turned more Republican by an average of 2.87 percentage points, the data showed.

The analysis also showed urban areas are shifting toward Democrats, part of a continuing trend across the country.

All five North Texas counties experiencing population growth saw an uptick in the percentage of votes for Democrats, the analysis showed.

Collin County, a Republican stronghold anchored by suburban women, shifted its share of votes to Democrats by 4.45 percentage points compared to 2018, according to the analysis.

Tarrant County, another GOP-dominated region that has seen an increasing number of Democratic votes, increased support for Democrats by 3.04 percentage points; Dallas County, by 3.23 percentage points; Denton by 3.53; and Rockwall by 3.5, the analysis showed.

Political experts who reviewed The Dallas Morning News’ findings weren’t surprised by the shift. Though slow-moving, the changes can make an impact over the next decade, they said.

“We shouldn’t delude ourselves in any way that the Democrats are about to take over,” said James Riddlesperger, a professor of political science at Texas Christian University in Fort Worth. “At the same time, election coalitions are dynamic and what we’re seeing is the competitiveness of the two political parties in this area is becoming more apparent.”

This Trib story has more of the same. And it set me off to do the thing I usually do, which is put a bunch of numbers into a spreadsheet and then try to make something interesting happen with them. If you were to do the same – copy county-by-county election results for the Governor’s races from 2018 and 2022 into Excel – you’d see what these stories say, which is that Beto generally did better than Lupe Valdez in the large urban and suburban counties, and generally did worse elsewhere. You’d also notice that the reverse is true, which is that Abbott did worse where Beto did better and vice versa. You might think this means something about maybe Dems closing the gap in some places, and maybe that’s true, but if so then you have to contend with the fact that the likes of Dan Patrick and Ken Paxton did better overall than they had done four years ago, and as such there’s a limit to this kind of analysis.

I got to that point and I just didn’t feel like putting more time into it. I’ll spend plenty of time looking at district-level numbers, to see how the assumptions of the 2021 redistricting have held up so far and where opportunities and dangers for 2024 might lurk. Much of that data won’t be available until after the next Legislative session begins, though some county data should be there after the votes are canvassed. But statewide, I think we already know what we might want to know, at least at a macro level. We Dems didn’t build on 2018. There’s nothing to suggest that the trends we saw over the last decade have reversed, but there was nothing to see this year to suggest that we have moved the ball any farther than it would have moved on its own. So I’m going to put my effort into places where I hope to find things to work for in the next election or two. I promise I’ll throw numbers at you in those posts.

State and county election result relationships, part 4: What happened in 2022

Nov 15th, 2022

by Charles Kuffner.

1 comment

Part 1
Part 2
Part 3

Now that the final totals are in, let’s go back and do the same exercise in comparing overall results for statewide candidates to the results they got in Harris County, and then from there comparing them to the local countywide numbers. I’m going to limit the comparisons to the last four elections, since as we saw things changed in 2016 and I don’t see any reason to go back farther than that. Here are the statewide numbers:


2016                   2018                   2020                   2022
State  Harris   Diff   State  Harris   Diff   State  Harris   Diff   State  Harris   Diff
43.24   53.95  10.71   48.33   57.98   9.65   46.48   55.96   9.48   43.81   54.00  10.19
38.38   47.35   8.97   42.51   52.11   9.60   43.87   52.90   9.03   43.44   53.41   9.97
38.53   47.96   9.43   46.49   56.07   9.58   43.56   52.90   9.34   43.62   53.40   9.78
41.18   50.78   9.60   47.01   56.90   9.89   44.49   53.16   8.67   40.91   50.56   9.65
39.36   48.28   8.92   43.39   52.74   9.35   44.08   53.49   9.41   42.10   51.08   8.98
40.05   49.86   9.81   43.19   53.71  10.52   44.76   53.76   9.00   43.63   53.15   9.52
40.20   49.53   9.33   46.41   56.68  10.27   44.35   52.97   8.62   40.51   49.92   9.41
40.89   50.72   9.83   43.91   53.25   9.34   45.18   54.45   9.27   41.81   50.40   8.59
                       46.83   56.68   9.85   44.70   54.72  10.02   42.87   51.44   8.57
                       46.29   56.48  10.19   45.47   54.00   8.53   43.55   52.13   8.58
                       46.29   55.18   8.89                          43.02   50.99   7.97
                       45.48   55.62  10.14                          42.74   50.46   7.72
                       45.85   54.90   9.05				
										
										
Min   8.92             Min   8.89             Min   8.53             Min   7.72
Max  10.71             Max  10.52             Max  10.02             Max  10.19
Avg   9.58             Avg   9.72             Avg   9.14             Avg   9.08

One could argue that the dip in the average difference between Harris County and the statewide results is a continuation from 2020, but I’m not so sure. I’m fascinated by the discrepancy between the executive office numbers and the judicial race numbers, which are the last five ones from 2022. The executive office average is 9.64, while the judicial average is 8.29. We have not seen anything like this in previous years – indeed, judicial races had some of the highest differences in all three previous cycles. My best guess for this is the same thing I’ve suggested before, that the multi-million dollar campaign waged against Democratic judges in Harris County had some modest but measurable success.

The point of this exercise was twofold. One was to show that Democrats don’t have to do all that well statewide to still carry Harris County. That’s been especially true in elections since 2016, but it was true before than. Barack Obama got 41.23% statewide, losing by 16 points, and yet Democrats won more than half of the races in Harris County. Wendy Davis got 38.90% in 2014 and lost by over 20 points; if she had lost by about 14 and a half points – which it to say, if she had done less than a point better than Obama – she’d have gotten to 50% in Harris County and Dems would have won at least some county races. Given this past history and the fact that Beto got to 54% in Harris County, the surprise is not that Dems won it’s that they didn’t sweep. I would have bet money on them taking everything with Beto at that level.

Which gets to the second item. In past elections, Democratic judicial candidates in Harris County have generally outperformed the statewide candidates. Most, and in some cases all, of the judicial candidates did better than the statewide candidates’ average in Harris County. That was the key to Dems winning as many judicial races as they did in 2008 (statewide candidate average 50.62%) and 2012 (statewide candidate average 48.59%). This just wasn’t the case in 2022. Let’s start with the numbers:


Havg	51.75
Jmin	49.29
Jmax	52.30
Drop	4.71

As a reminder, “Havg” is the average percentage of the vote in Harris County for statewide candidates. “Jmin” and “Jmax” are the lowest and highest percentages achieved by Harris County Democratic judicial candidates. “Drop” is the difference between the top score among statewide candidates (54.00% for Beto) and the low score among the judicial candidates.

The Harris average for the statewides was the third best it has ever been, behind 2020 and 2018. As noted in the past, weak statewide candidates have in the past lost a lot of votes to third party candidates, which has dragged down the “Havg” value in those years. While most years there have been judicial candidates that have scored worse than the Havg for the year (2006 and 2016 being exceptions), in previous years the bulk of the judicial candidates did better than the Havg number.

Not this year. By my count, only eight of the 61 district and county court Democrats scored better than 51.75% of the vote. Obviously, you don’t need that much to win, but the effect was that five candidates finished below fifty percent. The range between the top scoring judicial candidate and the bottom scoring one was right in line with historic norms, but because that range began at a lower point, there was a bigger gap overall between how the statewides did compared to the local judicials. That “Drop” of 4.71 points is the second biggest ever, and the only reason that the 2010 Drop was bigger was because Bill White was a huge outlier. If there’s one thing from this election that truly surprised me, it was the gap between the top of the Democratic ticket and the judicial races. That is something we had not seen before.

Again, I believe that the massive amounts of spending by the usual cadre of Republican oligarchs had an effect. It’s something we will have to take into account next time around. Not all of this spending was aimed at the judicial candidates, of course, There was an effect on the county executive office races as well, though thankfully it was smaller:


Havg	51.75	
CJ	50.79
DC	51.17
CC	51.59
CT	51.60

I haven’t calculated a judicial average score for Harris County yet, but my gut says that the three non-County Judge candidates came in above it, while Judge Hidalgo was probably a bit below it. Good enough to win, which is what matters most. County Judge is the only really visible one of these offices and it was very much Judge Hidalgo who was the subject of the ad blitzes. I’m not in a position to say why she persevered, but I will be very interested to see how she performs in the precinct data. In the UH Hobby Center poll of Harris County from October, their second poll of the county, they were pretty accurate about Beto’s performance – they pegged him at 50-42 over Abbott, an eight point lead, which I projected to Beto getting about 54%, dead on to where he was – but they had Hidalgo trailing Mealer among Latino voters by a 47-44 margin. I thought at the time that was inaccurate and I still do, but we’ll get a reality check when the precinct data is available. Let’s put a pin in this one.

I’ve made good on my promise to throw a lot of numbers at you. I hope this made sense, I hope it illustrated why I thought the pundits were likely to be wrong about Harris County, and I hope it will help inform this discourse going forward. Past performance may not predict future results, but it does help to at least know what that past performance was. The numbers are always there.

State and county election result relationships, part 3: Other county races

Oct 21st, 2022

by Charles Kuffner.

6 comments

Part One
Part Two

Last time we looked at judicial races, which for all of the complaints about not knowing the candidates and just going by partisan labels have produced a consistent range of outcomes over the years. Some people are picking and choosing among judicial candidates – it’s not a huge number, and there doesn’t appear to be any rhyme or reason to it, but it’s happening. With candidates for county offices, especially higher profile ones like County Judge, District Attorney, and Sheriff, there’s even more of a range of outcomes, as these candidates are better known and the reasons for crossing over are clearer. Let’s get to the data.


2006          2008          2010          2012	
CJ      N/A   DA    49.79   CJ    39.40   DA    47.66
DC    46.09   CJ    46.85   DC    46.15   CA    51.48
CC    44.69   CA    51.39   CC    44.58   Sh    52.95
CT    48.34   DC    51.06   TA    45.27   TA    48.73
HCDE  48.63   TA    46.18   CT    43.01   HCDE  51.34
              Sh    56.28							
              HCDE  52.51								
              HCDE  52.58								

2014          2016          2018          2020	
DA    46.78   DA    54.22   CJ    49.78   DA    53.89
CJ      N/A   CA    53.72   DC    55.09   CA    54.66
DC    44.82   Sh    52.84   CC    54.60   Sh    57.46
CC    45.71   TA    50.31   CT    54.21   TA    53.07
CT    44.95	            HCDE  56.71   CC    53.76
HCDE  46.85                               HCDE  55.64
HCDE  46.79                               HCDE  54.65

Abbreviations:

CJ = County Judge
DC = District Clerk
CC = County Clerk
CT = County Treasurer
DA = District Attorney
CA = County Attorney
TA = Tax Assessor
Sh = Sheriff
HCDE = At Large HCDE Trustee

Note that in some years, like 2008 for County Judge, 2010 for Tax Assessor, and 2014 for District Attorney, there were special elections due to the death or resignation of a previously-elected official. There are three At Large HCDE Trustees, they all serve 6-year terms, and in a given election there may be zero, one, or two of them on the ballot. All of the numbers are the percentages achieved by the Democratic candidate for that office. In 2006 and 2014, there was no Democrat running for County Judge.

The first thing to note is that in all but two years, the Dem disaster year of 2014 and the Dem sweep year of 2020, the range of outcomes was at least four points. In four of the eight years, the range was at least five points. Beverly Kaufmann was a trusted long-serving name brand in 2006, the last year she ran for re-election. Adrian Garcia destroyed scandal-plagued incumbent Sheriff Tommy Thomas in 2008, while Ed Emmett rode his performance during Hurricane Ike to a chart-topping Republican vote total. (There was a Libertarian candidate in the Tax Assessor race that year, so the percentages for Paul Bettencourt and Diane Trautman were lower than they would have been otherwise.) Emmett continued to overperform in subsequent years, though it wasn’t quite enough for him in the 2018 blue landslide. The late Mike Anderson got to run against the idiot Lloyd Oliver in the 2012 DA race; four years later Kim Ogg won in a second try against Devon Anderson after her office imploded. Candidates and circumstances do matter in these races in a way that they don’t quite do in judicial races.

I find it fascinating that the At Large HCDE Trustees are consistent top performers for Dems, year in and year out. Note that this remained the case in 2020, following the abolition of straight ticket voting. The Republicans have run some lousy candidates in those races – their precinct HCDE trustee candidates have generally been stronger – but I doubt that accounts for too much. Honestly, I’d probably chalk that up to the Democratic brand, especially given that it says “Education” right there in the position’s name.

Minus the outliers, and I will have one more post in this series to take a closer look at them, the ranges for the county executive office candidates are basically in line with those of the judicial candidates, and as such are usually ahead of the statewides. As with the judicial candidates, there were mixed results in the close years of 2008 and 2012, and sweeps one way or the other otherwise. While the potential is there for an exceptional result – which in the context of statewide candidates still carrying Harris County means “a Democrat unexpectedly losing” – the conditions to avoid that are clear. If Beto is getting to 54% or better, I’ll be surprised if it’s not another Dem sweep.

State and county election result relationships, part 2: Judicial races

Oct 20th, 2022

by Charles Kuffner.

1 comment

In Part One of this series, we looked at the relationship between statewide results and Harris County results for statewide candidates. In the last three elections, statewide Democratic candidates have done on average more than nine points better in Harris County than they did overall. In the next two posts, we’re going to look at the county candidates, to see how those results compare to the statewides and what if anything we can infer about this year.

Two things should be noted up front, one of which I touched on in the previous post. First, nearly all of the statewide races have at least one third party candidate in them, and in those races the third party candidate(s) can take three to five percent of the total vote. That has the effect of lowering the percentages of both D and R candidates in those races. County candidates, on the other hand, rarely face a third or fourth contestant. In county judicial races, third party candidates are unheard of. Because of this, county Democratic candidates tend to do better than statewide Democratic candidates.

It is also the case, as noted before, that there have been a lot of, shall we say, less than compelling statewide Democratic candidates. They lack money and name recognition and that in turn helps contribute to the vote totals that the third party contenders get, where that effect tends to be greater in the lower-profile races. Harris County candidates aren’t always the highest profile, but I believe the local organizing efforts have helped them outperform the less well-known statewide candidates. All of this comes wrapped in the usual “in general, with some exceptions, some years are different than others” qualifiers. I’m just setting the table.

With all that, I will present the numbers for judicial races. I’m starting this time in 2006 – like I said, the 2002 election is just not relevant to anything anymore, and the 2004 election was marked with a large number of uncontested races.


2006          2008          2010          2012
Havg  42.90   Havg  50.62   Havg  43.46   Havg  48.59
Jmin  46.90   Jmin  48.58   Jmin  42.57   Jmin  48.19
Jmax  50.12   Jmax  52.48   Jmax  45.70   Jmax  51.38
Drop   1.09   Drop   2.93   Drop   7.66   Drop   1.20

2014          2016          2018          2020
Havg  44.76   Havg  49.80   Havg  55.25   Havg  53.83
Jmin  43.64   Jmin  50.93   Jmin  53.83   Jmin  52.56
Jmax  47.16   Jmax  54.11   Jmax  57.16   Jmax  55.51
Drop   3.44   Drop   3.02   Drop   4.15   Drop   3.40

“Havg” is the average percentage by Democratic statewide candidates for that year – you can go back and look at the first post for the list, I didn’t want to overwhelm this post with numbers. “Jmin” and “Jmax” are the lowest and highest percentages achieved by non-statewide Democratic judicial candidates that year. In other words, for the county, district, and appellate (1st and 14th Circuit) courts. “Drop” is the difference between the highest scoring statewide candidate and the lowest scoring local judicial candidate.

I have used average vote totals among judicial candidates in years past as a simple measure of partisanship in the county. I’m using percentages here because I want a quick visual representation of winning and losing. I am using the range here rather than an average because I want to figure out at what level of statewide performance am I comfortable saying that all local countywide Dems are likely to win, and at what level do I think some, most, or all may lose. I think this conveys the information I wanted to get across in a fairly straightforward manner.

The first thing to notice is that consistently there is a three to four point range between the top-performing Democratic judicial candidate and the low performer. I’ve studied this for years and have no idea why. I can’t see any obvious correlation to candidates’ gender, race, position on the ballot, endorsements, anything. It’s just random, as far as I can tell. The point is, there is a range. Conditions need to be such that the top candidates are at 54% or higher for the bottom ones to win. Maybe 53% is enough – you will note that the range was tighter in 2020 than in previous years, and it’s a hair less than three percentage points. But really, for me to feel comfortable, I’d want the toppers at 54%.

You may also notice, as I mentioned above, that the local judicial candidates tend to outperform the statewide candidates. 2016 is a stark example of this, as more than half of the statewides finished below fifty percent, though all of them ended up carrying the county. Yet all of the judicial candidates won easily, with the low judicial performer outdoing all of the statewides except Hillary Clinton. In 2018, a much stronger year for Dems, the bottom scorer among judicial candidates still did better than the Dem candidates for Governor, Comptroller, Land Commissioner, and Railroad Commissioner. Nearly all judicial Democrats won in 2008, while more than half of them won in the weaker year of 2012. My expectation is that even in a mediocre year like 2012, at least some Dems would make it across the finish line. It would take a bad year to sink them all. I just don’t see that happening.

You might look at the 2010 numbers, and maybe even the 2018 numbers, and worry that if the top of the ticket is defined by a real outlier, the gap between that candidate and the bottom rung of the judicial ladder could be too far apart. I absolutely do not expect a “Bill White in 2010” scenario, where someone gets at least six points more than any other statewide Dem. Beto in 2018 was barely one point ahead of Justin Nelson, and less than two points ahead of four other candidates. Two judicial candidates came even closer to Beto’s performance than Nelson did. It’s my opinion that if there’s a significant gap between the top and bottom of the statewide ticket, it’s because the one(s) at the bottom tanked, not because the top dog was so dominant. Bill White was a unicorn. The closest analog to him is Adrian Garcia in 2008, and he was running against a thoroughly scandal-plagued incumbent.

How much of an effect is there with the lack of straight ticket voting? It’s a little hard to say since we just have the one election to analyze, but my view in 2020 was that a lot of people did a fine job of voting all the way down the ballot. I expect that to be largely true this year as well. When the numbers are in, I’ll look at them and see if there’s a reason to change my mind.

To me, the main concern is that the statewide Dems will not do as well as the current polling suggests they might. We need the base level to be sufficiently high, that’s pretty much the ballgame. There is also a range in the county executive office elections, and there have been a couple of outliers over the years – I’ll be examining those phenomena in future posts – and every year is different. My bottom line remains that if the baseline at the state candidate level is 53-54% for Harris County, it will be another sweep year. I think the statewides will perform more like the locals this year, as they are overall better and better-funded than most other years. If we get a decent poll of Harris County, I’ll review and if needed revise my thinking. Until then, this is where I am.

State and county election result relationships, part 1: How Harris compares

Oct 18th, 2022

by Charles Kuffner.

5 comments

I’ve been thinking a lot lately about the relationship between how statewide Democratic candidates do in Harris County versus how they do overall, and what that might tell us about the state of play in Harris County. Since I started blogging in 2002, Harris has gone from all red to a bluish purple or still red depending on what year it was to all blue. I get the sense a lot of folks don’t know how to contextualize this. The trends are clear, but we’ve only had three actual all-blue elections, and only one of them was in a non-Presidential year. We’ve had precious little polling in Harris County, none of which I’d consider useful or reliable. So if all we have is statewide polling, what if anything can that tell us?

In this post, I’m going to go through the numbers at the statewide and Harris County level and see what that can tell us. Let’s begin with the first three elections since I began blogging.


2002                   2004                   2006
State  Harris   Diff   State  Harris   Diff   State  Harris   Diff
43.33   45.99   2.66   38.22   44.56   6.34   36.04   41.26   5.22
39.96   43.22   3.26   40.94   44.56   3.62   29.79   34.46   4.67
46.03   46.92   0.89   40.77   45.56   4.79   37.45   41.69   4.24
41.08   43.06   1.98   42.14   46.73   4.59   37.23   40.69   3.46
32.92   36.32   3.40                          37.01   41.85   4.84
41.48   43.02   1.54                          40.96   44.13   3.17
37.82   41.59   3.77                          41.79   45.14   3.35
41.49   42.38   0.89                          41.73   44.81   3.08
40.51   43.39   2.88                          44.89   47.99   3.10
41.54   44.42   2.88                          43.35   47.02   3.67
41.89   44.05   2.16								
43.24   45.48   2.24								
45.90   50.14   4.24								
39.15   42.61   3.46								
42.61   45.14   2.53								
40.01   43.32   3.31								
										
Min   0.89             Min   3.62             Min   3.08
Max   4.24             Max   6.34             Max   5.22
Avg   2.63             Avg   4.84             Avg   3.88

The first number for each year represents the statewide percentage for each Democratic candidate. The numbers are in the order that the candidates appear on the ballot, so for a Presidential year you get President, then Senate if there was a Senate race (there was not in 2004), then Railroad Commissioner because there’s always an RRC race, then the Supreme Court and Court of Criminal Appeals races. I only reported the races that included a Democratic candidate, so this will vary from year to year. For non-Presidential years it will be Senate if there is such a race (there were in 2002 and 2006), then Governor and the state executive offices, and SCOTx and the CCA. Again, only the races with Dems so there will be variation.

The second column is the Harris County percentage for that candidate, and the third column is the difference between the two. So, for 2002, that first row is Ron Kirk’s statewide and Harris County percentages, and the fact that he did 2.66 points better in Harris. In 2004, that first row is for John Kerry, and in 2006 it’s for Barbara Radnofsky, with the second row being Chris Bell in that weird four-way gubernatorial race.

With me so far? The section at the bottom is a simple summary. It shows the minimum, maximum, and average differences between the statewide and Harris County percentages. In all cases, the Dem candidate did better in Harris than overall, though in 2002 that wasn’t very much. For Lt. Gov. candidate John Sharp and RRC candidate Sherry Boyles, it was less than a point. (If you’re wondering who it was that carried Harris County in 2002, it was CCA candidate Margaret Mirabal.) It begins to grow in 2004 but takes a step back in 2006, and in either case still isn’t very much.

I almost didn’t go all the way back to 2002 because that election was so wildly different from this one it’s like visiting another planet to look at its results. In the end I think it was useful to include all of these elections to show what conditions used to be like. If nothing else, these three years provide a nice bit of contrast to the next four election years.


2008                   2010                   2012                   2014
State  Harris   Diff   State  Harris   Diff   State  Harris   Diff   State  Harris   Diff
43.68   50.45   6.77   42.30   50.23   7.93   41.38   49.39   8.01   34.36   42.10   7.74
42.84   50.71   7.87   34.83   42.13   7.30   40.62   48.03   7.41   38.90   47.08   8.18
44.35   50.02   5.67   33.66   41.00   7.34   39.60   46.89   7.29   38.71   46.85   8.14
43.79   49.14   5.35   35.29   42.32   7.03   41.91   49.21   7.30   38.02   45.82   7.80
45.88   51.34   5.46   35.80   42.86   7.06   41.24   49.41   8.17   37.69   45.80   8.11
44.63   51.51   6.88   36.24   43.59   7.35                          35.32   43.75   8.43
45.53   51.29   5.76   37.26   43.67   6.41                          36.84   43.71   6.87
43.75   50.50   6.75   37.00   44.10   7.10                          37.25   44.16   6.91
                       35.62   41.73   6.11                          36.49   43.64   7.15
                       36.62   42.99   6.37                          37.60   45.54   7.94
                                                                     36.54   43.92   7.38
														
														
Min   5.35             Min   6.11             Min   7.29             Min   6.87
Max   7.87             Max   7.93             Max   8.17             Max   8.43
Avg   6.31             Avg   7.00             Avg   7.64             Avg   7.70

Same setup as before, but you can already see how things are different. For one thing, obviously, we now have Democrats winning Harris County. That was true at the county candidate level as well – we’ll look more closely at that in the future. I believe we have this step up in part because Democrats finally began to get their act together organizationally in 2008. It was a big election nationally of course, with a ton of Democratic activist energy, but that had been the case elsewhere in 2006 as well. It just didn’t translate here, and I would chalk that up to the amount of organization at the county level.

I have long believed that if we had had better organizing in 2006, Dems could have won a couple of judicial races at least. We had one candidate crack 49%; it wouldn’t have taken much. Indeed, Jim Sharp got 50.12% in Harris County in 2006 in his race for an appellate court seat, but as that covered multiple counties he fell short that year. (He went on to win in 2008.) Instead, we got the narrative of Dallas County Dems breaking through and sweeping in 2006, setting up the notion that 2008 would be Harris’ year. Maybe that had a positive effect on the engagement level, I don’t know. I do know that it didn’t have to be so all-or-nothing.

Note that while 2008 was a high point for Dems in this grouping, the boost to candidates in Harris County continued to grow. Even with the disasters of 2010 and 2014 and the slight step-back in 2012, Dems kept performing better in Harris County compared to the state as a whole. Again, I credit better organizing locally and the fact that Harris County was becoming more Democratic relative to the state. The point here is that this gap hasn’t shrunk in bad years for Dems. The trend has been in one direction.

That trend continued through the next two elections before a minor reversal in 2020:


2016                   2018                   2020
State  Harris   Diff   State  Harris   Diff   State  Harris   Diff
43.24   53.95  10.71   48.33   57.98   9.65   46.48   55.96   9.48
38.38   47.35   8.97   42.51   52.11   9.60   43.87   52.90   9.03
38.53   47.96   9.43   46.49   56.07   9.58   43.56   52.90   9.34
41.18   50.78   9.60   47.01   56.90   9.89   44.49   53.16   8.67
39.36   48.28   8.92   43.39   52.74   9.35   44.08   53.49   9.41
40.05   49.86   9.81   43.19   53.71  10.52   44.76   53.76   9.00
40.20   49.53   9.33   46.41   56.68  10.27   44.35   52.97   8.62
40.89   50.72   9.83   43.91   53.25   9.34   45.18   54.45   9.27
                       46.83   56.68   9.85   44.70   54.72  10.02
                       46.29   56.48  10.19   45.47   54.00   8.53
                       46.29   55.18   8.89				
                       45.48   55.62  10.14				
                       45.85   54.90   9.05				
										
										
Min   8.92             Min   8.89             Min   8.53
Max  10.71             Max  10.52             Max  10.02
Avg   9.58	       Avg   9.72             Avg   9.14

Despite several candidates failing to reach fifty percent in 2016, every statewide Dem carried Harris County; there were third party candidates getting about five percent in the judicial races and almost ten points in the RRC race between Wayne Christian and Grady Yarbrough, which accounts for the difference. We’ll get into this later, but it was pretty common for local Dems to outperform statewide Dems in many of these years. I chalk that up to a combination of weak statewide Dems and that strong local organizing along with some pretty good county candidates.

The main takeaway from this is that even statewide candidates with pretty poor overall showings were able to win Harris County by fairly comfortable margins. Look at Lupe Valdez in 2018, the second candidate listed, for a prime example. Valdez got 42.51% statewide in 2018, the lowest showing among Dems, but finished with 52.11% in Harris County. This is the context I think about when I look at statewide polling. If Beto O’Rourke finishes with 44 or 45% statewide, he’s probably going to get 53 or 54 percent in Harris County. A 44-45% finish for Beto statewide implies that he lost by 9-11 points, whereas nearly all of the polls we have seen have had him down between six and eight points.

The flip side is also of interest. There was a poll of Harris County released a few days back by a wingnut former legislator that claimed Lina Hidalgo was losing by four points while Beto was carrying Harris County by only two points. For Beto to be winning Harris by two points – in other words, for him to be getting at most 51% in Harris County – means he’s losing statewide by at least 15 points – 57-42 is the number I’ve had in mind. To say the least, there is no polling evidence to support that.

Now, could the polls be wrong? Could Beto crater? Could this advantage Dems have had in Harris County decline further? Sure, any or all of those things could happen. We saw it decline a bit in 2020. I give some of the credit to that for better Republican organizing, though the loss of straight ticket voting and just the general conditions for 2020 could also be factors. It’s impossible to say if that’s a one-off or the start of a new trend based on the one data point. It would have to be a big step back for it to make me adjust my expectations. At this time, at least, I don’t feel the need to do that. Those things could happen, but that doesn’t mean they’re likely to do so.

So this is where I am, mentally and emotionally right now. I had the chance to talk about this thesis with some folks over the weekend, and none of them looked at me like I was crazy. (They may have just been polite.) I’ve got some more data to present in the next couple of days, and we can see how we all feel at the end of that. But this is where I am. What do you think?

Let’s name a few legislative battlegrounds

Aug 22nd, 2022

by Charles Kuffner.

Comments are off for this post

It’s getting to be that time of the election cycle.

Mihaela Plesa

Two years ago, Democrats were gearing up for a rare opportunity in modern times: capturing the Texas House majority.

But after they came up woefully short — and Republican-led redistricting reduced the number of competitive races — the battlefield heading into November is notably smaller.

Still, both sides see important stakes in the state House races this time around. While the majority is not on the line, the hottest races are unfolding in key areas that each party understands is critical to their growth for the next decade.

Look no further than the three districts that both Democrats and Republicans see as their highest priorities. Two of them are in South Texas, where Republicans are working to make inroads with Hispanic voters, while the other is in North Texas’ Collin County, a place emblematic of the fast-growing suburbs where Democrats have gained ground over the last few election cycles.

The GOP is especially serious about the two seats in South Texas — House District 37, a new open seat in the heart of the Rio Grande Valley, and House District 118, a San Antonio-based seat that Republican John Lujan flipped last year in a special election. House Speaker Dade Phelan, R-Beaumont, and the Republican State Leadership Committee, a national group that works to elect Republicans to state legislatures, are announcing Monday that they are funding $360,000 in TV ads aimed at the two districts, a substantial opening salvo on the battlefield.

[…]

Millions of dollars are expected to pour in to HD-37 and HD-118 — the two South Texas seats — and then HD-70, the one in Collin County. President Joe Biden would have carried each of the three seats over Donald Trump in 2020, but only by margins of 2 to 11 points, which gives them battleground status in the current environment, according to operatives. HD-37, which Republicans rammed into the map overnight during redistricting, is the closest on paper, with a Biden margin of only 2 percentage points.

Lujan is easily the most endangered Republican incumbent, but a few others can be expected to have competitive races, including Reps. Steve Allison of San Antonio, Morgan Meyer of Dallas and Angie Chen Button of Richardson. However, all three have had tough general elections before — especially Meyer and Button — and Republicans have faith in their ability to defend themselves.

There are also some additional open seats that the GOP will have to monitor, like the Houston seat where Republican state Rep. Jim Murphy is retiring.

On the Democratic side, the most endangered incumbent may be Rep. Eddie Morales of Eagle Pass, who represents a massive district covering most of the Texas-Mexico border.

As for the issues, the GOP messaging is set to take on a national tone, seeking to tap into Biden’s deep unpopularity in Texas, especially on border security and inflation. The House Democratic Campaign Committee said its candidates are focusing on “good jobs, strong public schools and access to affordable health care.”

“In contrast, Republicans are obsessed with banning abortion with no exceptions and making sure anyone can carry a gun with no training or license,” an HDCC spokesperson, Stella Deshotel, said in a statement.

With the primaries over, candidates across the races are sounding notes of independence and bipartisanship. Mihaela Plesa, the Democratic nominee for HD-70, said in an interview it was important for representatives to go to Austin and “not just be another vote for the party line.” Her Republican opponent, Jamee Jolly, said she was optimistic she would appeal to the Biden voters in the district, which he would have carried by 11 percentage points.

“I think a lot of people chose Biden because they didn’t like the Republican option. I know that for a fact because I have friends who have said that,” Jolly said, adding that her friends found Trump “divisive” and that she would legislate as “much more of a convener, a solutions-seeker,” reaching across the aisle.

Plesa said the No. 1 issue she hears about is public school finance, along with concerns about the “social wars” that are erupting in the classroom. But she said she is also hearing a lot about abortion after the Roe v. Wade decision, which triggered a ban without exceptions in Texas. Jolly said that her focus is now on “how we continue to support maternal health care.”

First and foremost: San Antonio is not South Texas, and I will die on that hill. I am begging you to be more precise in your geographical descriptors.

Second, just to provide some perspective, here are the 2020 Biden/Trump numbers for all of the districts name-checked in this story:


Dist  Biden   Trump Biden% Trump%
=================================
037  27,740  26,576  50.6%  48.4%
070  45,111  35,989  54.7%  43.6%
074  31,415  28,538  51.7%  46.9%
108  54,481  55,364  48.9%  49.7%
112  44,881  45,370  48.9%  49.4%
118  36,578  34,584  50.6%  47.9%
121  50,133  52,533  48.1%  50.4%
133  40,475  42,076  48.4%  50.3%

Most of these districts got more Democratic between 2012 and 2020, often much more Democratic. HDs 37 and 74 are the exceptions in that list. You can go read that earlier post for all the context. HD70 is a current Republican district that was redrawn to be Democratic, whose incumbent is not running for re-election, and should be the most likely of the bunch to flip. I don’t think I’m going out on a limb here to say that if Dems don’t pick up HD70, it will have been a disappointing Election Day. It’s impossible to imagine a good overall result if the Republicans can hold that one. Republicans flipped HD118 in a low-turnout special election, which is a thing they had done before as well. Dems won it back that November, but HD118 was a more Democratic district in the previous map. Bexar County moved strongly Democratic overall last decade, though (Pre-redistricting) HD118 was at the bottom of the progress list. I also feel confident saying that Dems will be disappointed if they don’t take this one back.

Fundraising numbers are also a factor, and likely a reason some other relatively even districts were not mentioned in this Trib story. HD70 Dem candidate Mihaela Plesa has done pretty well, while HD118 candidate Frank Ramirez, who fell short in the runoff of that earlier special election, has done less so. I’ll want to take a look at the 30-day numbers in some of these races to see what other signals there may be.

I don’t want to get too deep into all this, as I don’t know much about these races beyond the numbers. I do believe that we will see a different, perhaps broader, class of contested races in 2024, partly because a lot of Republican seats were drawn with relatively tight margins, and partly because this year may tell us something new about the trends we have been seeing in the past three elections. There are always some districts that over- or under-perform their expected numbers, and this time should be no exception.

Precinct analysis: The new Senate map

Mar 22nd, 2022

by Charles Kuffner.

Comments are off for this post

Previously: New State House map, New Congressional map, new SBOE map.

The good news is that all 31 Senate seats will be on the ballot this year, as it is a post-redistricting year. The bad news is that the only seat likely to flip is the maybe-illegal-but-still-in-effect SD10; the second most likely is SD27, the one now held by Sen. Eddie Lucio. That will be a gain if the Dems hold it, which I think they probably will, but will put the Senate back at 20-11 for the Republicans otherwise. There are some potential opportunities for Dems going forward, but nothing likely to happen this year.

As before, I’m tracking how things changed over the course of the past decade, this time using the new data. You can find the 2012 election results for the new map here and the 2020 results here. I didn’t use the 2016 results in my analysis below, but that data is here if you want to see it.


Dist   Obama   Romney Obama%Romney%     Biden    Trump Biden% Trump%
====================================================================
06   105,626   52,984  65.8%  33.0%   145,880   72,715  66.1%  32.7%
13   187,437   43,220  80.5%  18.6%   226,746   60,286  78.1%  20.8%
14   191,555  103,810  62.4%  33.8%   345,920  108,857  74.4%  23.4%
15   142,022  106,550  56.2%  42.2%   230,947  119,685  64.9%  33.6%
16   119,834   97,550  54.4%  44.2%   187,870   99,542  64.4%  34.1%
19   109,976   83,451  56.1%  42.5%   175,552  134,463  55.8%  42.7%
20   110,074   71,399  59.9%  38.9%   144,904  118,940  54.3%  44.6%
21   117,376   71,625  60.8%  37.1%   174,822  123,149  57.7%  40.7%
23   204,165   61,090  76.3%  22.8%   264,146   72,143  77.5%  21.2%
26   139,600   92,037  59.2%  39.1%   212,130  109,171  64.9%  33.4%
27   111,764   70,555  60.6%  38.3%   136,710  124,352  51.7%  47.1%
29   120,466   64,673  64.1%  34.4%   185,726   94,771  65.2%  33.3%


Dist   Obama   Romney Obama%Romney%     Biden    Trump Biden% Trump%
====================================================================
02    94,149  177,976  34.1%  64.5%   161,107  220,682  41.6%  57.0%
05    82,888  160,877  33.3%  64.6%   156,179  228,271  39.8%  58.2%
07    79,567  188,133  29.3%  69.4%   168,148  233,850  41.2%  57.4%
08    88,143  185,954  31.6%  66.7%   191,671  245,415  43.1%  55.1%
09    90,737  172,539  33.9%  64.5%   165,645  216,751  42.6%  55.7%
10   110,253  175,089  38.1%  60.6%   155,339  214,676  41.4%  57.2%
11    93,575  181,599  33.5%  65.1%   159,989  228,246  40.6%  57.9%
12   100,021  216,120  31.2%  67.3%   199,086  253,764  43.3%  55.2%
17    86,387  190,448  30.8%  67.9%   159,728  227,577  40.7%  57.9%
18    92,022  166,546  35.2%  63.7%   154,983  232,105  39.5%  59.2%
22    95,398  182,516  33.8%  64.7%   147,821  232,500  38.3%  60.2%
24    91,044  176,436  33.4%  64.7%   156,584  233,635  39.4%  58.7%
25    93,417  215,045  29.7%  68.5%   199,751  290,020  40.1%  58.3%


Dist   Obama   Romney Obama%Romney%     Biden    Trump Biden% Trump%
====================================================================
01    87,651  239,661  26.5%  72.5%    98,697  292,767  24.9%  73.9%
03    96,180  229,714  29.2%  69.7%   102,401  286,961  26.0%  72.9%
04    75,007  202,881  26.7%  72.1%   136,167  260,866  33.8%  64.8%
28    69,681  214,055  24.2%  74.4%    90,616  255,182  25.8%  72.7%
30    73,532  181,183  28.4%  69.9%   159,983  258,982  37.6%  60.8%
31    48,092  193,082  19.7%  79.0%    62,274  239,238  20.4%  78.2%

My analysis for the 2020 election under the old map is here, and my look at the decade shift under the old map is here. You can see the new map in the District viewer, and you might find the District population by county useful.

I split the districts into three groups: Dem seats, which is to say the seats that I’d expect Dems to win in 2022 (in other words, not counting the likely doomed SD10), seats Dems could reasonably think about targeting in a future cycle, and Republican seats. For the first group, SD27 is as discussed a potential problem, in future elections if the trend in 2020 holds, though as previously noted it was more Democratic downballot. I’m actually a little surprised the Republicans didn’t go after SD19, but at least by the numbers they left it more or less as it was. SD20 is mostly Hidalgo and Nueces counties, so I don’t expect too much more movement based on past history, but we’ll keep an eye on it anyway.

The middle group contains a few districts that are mostly optical illusions, where the net voter deficit hasn’t really changed but the percentages have shifted towards the mean, because that’s how math works. It also contains some districts that legitimately moved quite a bit in the Dem direction over the past decade – SDs 02, 07, 08, 09, 12, and 17, with 08 and 12 being on the far outer fringes of competitiveness now. These are all mostly urban/suburban districts, so one would expect the trends to continue, though whether that can happen fast enough to matter is the key. I grouped these together because it’s kind of impressive to see how tightly they cluster in that 55-60% range. We talked several times pre-redistricting about what level of risk the Republicans were willing to tolerate this time around, as they were now dealing with a state that had far fewer surplus Republican voters to slosh around. All of the maps we’ve looked at have had similar clusters, of similar sizes, so I guess we have an answer to that question now.

That leaves a small number of deep red districts, and even that is a tiny bit of a misnomer, as SD30 had a modest net gain in Dem voters. Obviously, Republicans needed to have more not-so-dark-red districts to maximize their membership, but some places are just geographically inclined to be that intensely crimson. I note that SD30 went from being about one-third comprised of pieces of Denton and Collin counties to a bit more than half made up of Denton and Collin. Unlikely to be enough to make it long-term competitive, but it won’t shock me if its topline Republican percentage falls below 60 at some point.

That’s all there is for this series. The next step is to see how the 2022 numbers stack up against 2018 and 2020, and see what trends emerge, continue, and end. The single most likely outcome of this new map is that SD10 flips as it is designed to do, but what to expect after that is up in the air.

Precinct analysis: Beto’s range in the 2022 primaries

Mar 15th, 2022

by Charles Kuffner.

Comments are off for this post

When you get 91.34% of the vote in an election, as Beto did in the Democratic primary for Governor, there’s usually not a whole lot of interesting data beneath the surface. But you never know until you look, so I went and got the numbers for the Dem gubernatorial primary by county and sorted them by Beto’s percentage. Here are some highlights from that:


County      Diaz%  Cooper%   Beto%   Voters
===========================================
Maverick   16.40%   10.48%  60.71%    6,653
Frio        8.14%    6.87%  71.72%    2,518
Dimmit     10.41%    7.97%  71.98%    1,845
Duval       8.18%    6.73%  75.62%    1,858
Webb        8.55%    5.29%  77.02%   17,675
Jim Wells   8.23%    6.57%  78.71%    3,866
Cameron     6.99%    4.71%  81.46%   19,705
Hidalgo     6.44%    3.87%  81.68%   37,309
Jefferson   2.35%   12.72%  83.33%   12,637
El Paso     2.93%    2.14%  91.61%   37,017
Fort Bend   2.64%    3.69%  92.02%   39,613
Harris      2.10%    3.22%  92.83%  157,880
Nueces      2.63%    2.52%  93.17%   13,426
Dallas      1.98%    3.14%  93.53%  126,203
Tarrant     2.18%    3.03%  93.77%   73,413
Bexar       2.30%    1.38%  94.13%   94,334
Montgomery  2.25%    1.87%  94.13%   10,585
Travis      2.98%    0.85%  95.00%  108,831
Denton      1.85%    2.01%  95.09%   27,340
Collin      1.77%    1.36%  95.48%   36,368

I limited myself to counties where at least a thousand votes had been cast, though obviously I didn’t include all of them. Maverick was easily Joy Diaz’s best county, while Jefferson (where he’s from) was Michael Cooper’s best. I didn’t include the other two candidates in this table because they weren’t interesting, but Inno Barrientez had his best showing in Frio County, with 8.02% of the vote.

You might look at some of these places and think that this is a sign of weakness on Beto’s part, since the low-scoring places are mostly heavily Latino. I would invite you to consider how he did in these counties in 2018 before you arrive at such a conclusion.


County    Beto 18  Beto 22
==========================
Maverick   22.13%   61.71%
Frio       23.84%   71.72%
Dimmit     29.07%   71.98%
Duval      41.58%   75.62%
Webb       41.65%   77.02%
Jim Wells  40.24%   78.71%
Cameron    46.77%   81.46%
Hidalgo    50.50%   81.68%

Sema Hernandez got over 60% in Maverick, almost 60% in Frio, and over 50% in Dimmit. She won a plurality in Duval, Webb, and Jim Wells, and had over 40% in Cameron and Hidalgo. I largely pooh-poohed the “Beto underperformed in the Latino counties!” hot takes in March of 2018 and I stand by that, but however you felt about those numbers then, it’s very different now.

He really crushed it in the big counties, with Collin the winner as Most Beto-est County Of Them All. You could do this same sort of comparison with 2018 as well if you wanted – Beto got 65.5% in Collin in 2018, 57.7% in Dallas, and 59.1% in Harris – but all we’re really saying is he got a lot more votes from basically the same size electorate. However you slice it, that much remains.

Precinct analysis: The new SBOE map

Dec 22nd, 2021

by Charles Kuffner.

Comments are off for this post

Previously: New State House map, New Congressional map

I probably care more about the SBOE than most normal people do. It’s not that powerful an entity, there are only 15 seats on it, and their elections go largely under the radar. But the potential for shenanigans is high, and Democrats had about as good a shot at achieving a majority on that board as they did in the State House in 2020. Didn’t work out, and the new map is typically inhospitable, but we must keep trying. And if this nerdy political blog doesn’t care about the SBOE, then what’s even the point?

You can find the 2012 election results here and the 2020 results here. I didn’t use the 2016 results in my analysis below, but that data is here if you want to see it.


Dist   Obama   Romney Obama%Romney%     Biden    Trump Biden% Trump%
====================================================================
01   247,686  187,075  56.2%  42.4%   378,468  283,822  56.3%  42.2%
02   228,834  185,412  54.6%  44.2%   291,278  291,716  49.4%  49.4%
03   264,311  232,068  52.5%  46.1%   388,240  305,696  55.1%  43.4%
04   308,644  120,097  71.2%  27.7%   403,177  148,981  72.2%  26.7%
05   300,483  239,166  53.8%  42.8%   570,541  301,308  64.1%  33.8%
06   181,278  386,445  31.5%  67.1%   368,830  466,577  43.5%  55.0%
07   224,393  362,617  37.8%  61.1%   340,566  472,253  41.3%  57.3%
08   176,409  303,391  36.3%  62.4%   298,068  395,563  42.4%  56.3%
09   199,415  406,195  32.5%  66.3%   283,337  493,792  36.0%  62.7%
10   169,390  393,365  29.6%  68.6%   303,528  543,023  35.2%  63.0%
11   190,589  395,936  32.0%  66.5%   340,611  492,562  40.2%  58.2%
12   189,192  408,110  31.2%  67.3%   370,022  505,840  41.6%  56.8%
13   335,799  130,847  71.2%  27.7%   441,894  151,002  73.5%  25.1%
14   165,093  377,319  30.0%  68.5%   316,606  503,706  38.0%  60.4%
15   126,093  440,745  21.9%  76.7%   162,347  533,181  23.0%  75.5%

You can see the new map here, so you can visualize where these districts are. The current and soon-to-be-obsolete map is here, and my analysis of the 2020 election under that map is here.

You might note that none of the new districts look all that crazy. For the most part, the districts encompass entire counties. It’s mostly a matter of which counties are joined together. A good example of that is SBOE12, which used to be Collin County plus a slice of Dallas. In the days when Collin was deep red, that was more than enough for it to be safe Republican, but now that Collin is trending heavily Democratic – SBOE12 was a four-point win for Joe Biden last year – that won’t do. Now SBOE12 is a sprawling district that still has all of Collin but now a smaller piece of Dallas, the top end of Denton, and a bunch of smaller North Texas counties that had previously been in districts 09 and 15. In return, the formerly all-rural district 9 picks up about a quarter of Dallas, in a mirror of the strategy we’ve seen in the other maps to put heavily Democratic urban areas in with deeply Republican rural ones, to neutralize the former. District 11, which had previously been pieces of Dallas and Tarrant plus all of Parker and is now all of that plus Hood and Somervell and part of Johnson counties, is another example.

The other strategy that we see echoes of here is the more careful placement of dark red suburban counties. SBOE6, which used to be entirely within Harris County, is now hiked up a bit north to include a generous piece of Montgomery County, much as was done with CD02 and SD07, to flip it from being a Biden district back to a Trump district. Ironically, this has the effect of making SBOE8, which used to have all of Montgomery plus a lot of the counties east of Harris, more Democratic as it now wears both the eastern and western ends of Harris like earflaps. (Mutton chops also come to mind as I look at the map.) SBOE8 also picks up a piece of bright blue Fort Bend County, which had previously been in district 7. Meanwhile, over in Central Texas, SBOE5 jettisoned Comal County after it could no longer keep that district red; Comal wound up in district 10, which excised all of its Travis County population in return.

As far as the numbers go, there’s not much to say. Whether Democrats can win five or six districts will depend in the short term on whether they can hold district 2, which is actually a bit more Democratic in this alignment. In the longer term, districts 6, 8, 11, and 12 could all become competitive. District 3 is no more Democratic than any of those are Republican, but as you can see it trended a bit more blue over the decade, and it’s anchored in Bexar County, which should keep it from falling. 2022 is the one year when every district is up for re-election, and that will tell us something about how the trends we saw in 2020 are going. Maybe we’ll need to re-evaluate the prospects for change in this map, or as we’ve said before, maybe we’ll end up cursing the evil genius of it all. I mean, even as SBOE6 moved strongly towards Dems, the deficit to make up is still 100K votes. Nothing is going to come easy, if it comes at all.

Precinct analysis: The new Congressional map

Nov 23rd, 2021

by Charles Kuffner.

2 comments

Previously: New State House map

We will now take a look at how the districts of interest in the new Congressional map have changed over the past decade. Same basic idea, looking at the closer districts from 2020 to see how they got there. You can find all of the data relating to the new Congressional map here, and the zoomable map here.

I’m not going to tally how many seats were won by each side in each year, for the simple reason that there just wasn’t any real movement like there was in the State House. You can browse the middle years, I’m just going to focus on 2012 and 2020.


Dist   Obama   Romney Obama%Romney%     Biden    Trump Biden% Trump%
====================================================================
03    67,799  153,969  30.1%  68.3%   152,288  204,514  41.9%  56.3%
07   101,379   82,810  54.1%  44.2%   179,334   96,259  64.2%  34.4%
10    73,300  150,282  32.1%  65.8%   134,799  198,754  39.7%  58.5%
12    73,392  141,316  33.6%  64.8%   130,111  188,548  40.1%  58.2%
15    82,049   64,589  55.3%  43.6%   109,172  115,719  48.1%  50.9%
21    87,795  195,130  30.5%  67.7%   164,243  246,188  39.4%  59.1%
22    64,502  149,023  29.8%  69.0%   138,243  191,927  41.2%  57.3%
23    85,081  107,169  43.7%  55.0%   134,574  155,579  45.8%  52.9%
24    87,716  206,535  29.4%  69.2%   168,176  216,381  43.0%  55.4%
26    60,849  148,265  28.6%  69.8%   144,834  212,009  40.0%  58.5%
28   103,701   66,693  60.1%  38.7%   131,699  114,156  52.8%  45.8%
31    63,054  139,030  30.5%  67.3%   132,158  201,379  38.8%  59.1%
34    95,897   42,597  68.5%  30.4%   116,930   85,231  57.2%  41.7%
38    70,264  186,032  27.0%  71.6%   143,904  208,709  40.2%  58.4%

I’m going to sort these into three groups. The first is the “don’t pay too much attention to the vote percentage gains” group. I explained what I mean by that, with the help of a sports analogy, here. I’d put districts 21, 23, and 31 as canonical examples of this, with districts 10, 12, and 31 being slightly less extreme. All of them saw a net decrease in the Republican margin of victory from 2012 to 2020, but the rate is so slow that there’s no reason to believe that any continuation of trends would make them competitive in this decade. (With the possible exception of 23, which is reasonably close to begin with but always finds a way to disappoint.) Maybe things will look different after the 2022 election – these districts do still include places with a lot of Democratic growth – but they’re not the top priorities.

The next group is, or should be, the top priorities, at least from an offensive perspective, because they did have real movement in a Democratic direction. I’d put CDs 24, 03, 22, 38, and 26 in this group, in that order. This of course assumes that trends we have seen since 2016 will continue more or less as before, which we won’t really know until 2022 and beyond, but those numbers do stand out. I know the DCCC is targeting both CD23 and CD24, at least so far in this cycle, but I’d make CD24 more likely to be truly competitive this year. CD03 now includes Hunt County while a big strip of Collin County was put into CD04, so it will take more than just turning Collin blue to make CD03 flippable, but it will help. CD38 is if nothing else the biggest non-Commissioners Court prize on the board for Harris County Democrats.

Finally, there are the districts Dems need to worry about. CD15 is already going to be a tough hold, and even if Dems manage to keep it in 2022, there’s no reason to think it will get any easier, and may well get harder. If that happens, then CD28 could well be in peril as well. As noted before, it’s more like a 10-12 point district downballot, and whatever you think of him Henry Cuellar has shown the ability to outperform that level. Who knows how long those things can last if the trends continue? CD34 is almost as blue now as CD38 is red, but it was also almost as blue as CD38 was red in 2012. Again, I don’t like that trend. The main difference here is that the 2020 election was the sole data point in the new direction, whereas the trending-blue districts have been doing so since 2016. But the numbers are what they are, and until we see evidence that the trend isn’t continuing, we have to be prepared for the possibility that it will. Don’t take any of this for granted.

The bottom line is that right now, only a couple of districts look competitive. That was the case in 2012 as well, and we saw what happened there after a couple of cycles. That said, the reason for the big change was only partly about changing demography – the Trump effect and efforts to register voters, by Dems at first and by Republicans later, all played roles as well. We can extrapolate from existing trends, but it’s hard to know how much that will continue, and it’s really hard to know what exogenous factors may arise. And for all of the movement that the 2011/2013 Congressional districts saw, in the end only three districts were held by the opposite party in 2020 than in 2012 – don’t forget, Dems won CD23 in 2012, but only held it that one term. As much as that map looked like it could be a disaster for the Republicans at the end of the decade, it mostly held to form for them. Would it be a big surprise if the same thing happens this decade? Obviously, I don’t want that to happen, but the GOP built itself some big cushions into this map. Overcoming all that isn’t going to be easy, if indeed it is possible. We have a lot of work to do.

Precinct analysis: The new State House map

Nov 8th, 2021

by Charles Kuffner.

3 comments

Like it or not, we have new State House districts. We may as well acquaint ourselves with them. The coverage we’ve had so far has focused on the 2020 election numbers to say whether a district will be red or blue or (in a limited number of cases) purple. I think that we need to see more data than that to get a full picture. I’ve spent a bunch of time on this site looking at how districts changed over the course of the past decade. This post will do the same for the new State House districts. I may do the same for the other types of districts – we’ll see how busy things get once filing season opens – but for now let’s look at how things are here.

We now have a full set of election data for the new districts. All of the data for the new State House districts can be found here. I am using election data for these years in this post: 2012, 2014, 2016, 2018, and 2020

If you want to remind yourself of what the map looks like, use the district viewer, which allows you to zoom in all the way to street level. What would have happened in the last decade if we had had this map in place following the 2011 session?

2012 – 59 seats won by Obama
2014 – 51 seats won by Davis
2016 – 64 seats won by Clinton
2018 – 66 seats won by Beto
2020 – 65 seats won by Biden

This shows a couple of things. One is just how bad a year 2014 was. Two, how effective the 2011/2013 map was for the conditions that existed at the time. Note that with this map, the big shift towards the Democrats happened in 2016, not 2018. I have to wonder how things might have played out in 2018 and 2020 if that had been our experience. After that, it gets a lot more static. I’ll tell you which districts were won by Beto but not Clinton, and which district was won by Beto but not Biden, later in this post.

Enough setup. You’re ready for some numbers, right? I know you are. I’ve broken this down more or less by region, and am including districts that are within 20 points in the 2020 results.


Dist  Obama  Romney Obama%Romney%    Biden   Trump Biden% Trump%
================================================================
014  14,134  29,676  31.5%  66.1%   30,840  38,146  43.5%  53.8%
020  19,803  40,618  31.9%  65.4%   44,651  58,876  42.2%  55.6%
045  20,079  21,248  47.0%  49.8%   48,915  32,987  58.4%  39.4%
052  16,708  28,942  35.7%  61.8%   44,974  49,046  46.7%  51.0%
054  18,164  22,668  43.9%  54.7%   26,960  31,067  45.5%  52.4%
055  17,348  26,906  38.5%  59.8%   30,054  36,826  43.9%  53.8%
118  21,895  25,284  45.7%  52.8%   36,578  34,584  50.6%  47.9%
121  25,850  47,798  34.5%  63.8%   50,133  52,533  48.1%  50.4%
122  21,516  48,130  30.4%  68.1%   50,094  59,855  44.9%  53.7%

Call this the “Central” region – HD14 is Brazos County, HDs 20 and 52 are Williamson, HD45 is Hays, HDs 54 and 55 are the infamous “donut” districts of Bell County, and the other three are Bexar. Couple things to note, as these themes will recur. One is that if there’s a district you think might belong but which isn’t listed, it’s probably because it just doesn’t qualify as a “swing” district any more. A great example is HD47 in Travis County, which was a 52-47 district for Mitt Romney in 2012. In 2020, however, it was won by Joe Biden by a 61-36 margin. HD45 is more or less the same, but I included it here as a borderline case.

Looking at the shifts, it’s not too hard to imagine the two Williamson districts moving into (back into, in the case of HD52) the Dem column, in a future election if not this year. Note also that HD118 was once a red district. It’s one of the two that Beto flipped and which Biden held. Sure, it’s accurately described in all of the coverage of the special election runoff as being more Republican than the current HD118, but one should be aware of the direction that it has traveled. I won’t be surprised if it outperforms the 2020 number for Dems in 2022. (No, the result of this special election runoff doesn’t change my thinking on that. It’s not the first time that Republicans have won a special election in HD118.)

Not all districts moved so dramatically – that parsing of Bell County looks like it will be durable for the GOP, at least at this time. The other two Bexar districts were a lot more Democratic at the Presidential level than they were downballot, so one has to wonder if the splits we see here are entirely about Trump, or if they will be the leading edge for Dems as the 2016 Trump numbers were in places like CD07 and all of the Dallas House districts that Republicans once held.


Dist  Obama  Romney Obama%Romney%    Biden   Trump Biden% Trump%
================================================================
034  28,030  19,409  58.4%  40.4%   32,171  26,232  54.4%  44.3%
035  19,519   5,678  76.7%  22.3%   22,629  16,478  57.3%  41.7%
036  21,416   7,022  74.5%  24.4%   26,905  19,328  57.6%  41.4%
037  21,580  17,109  55.2%  43.7%   27,740  26,576  50.6%  48.4%
039  23,219   8,076  73.5%  25.6%   27,861  18,679  59.2%  39.7%
041  20,882  15,585  56.6%  42.2%   33,385  25,616  56.1%  43.0%
074  25,903  16,270  60.5%  38.0%   31,415  28,538  51.7%  46.9%
080  26,122  16,344  60.9%  38.1%   27,099  29,572  47.3%  51.6%

Here we have South Texas and the Valley, where things are not so good for the Dems. Again, the districts you don’t see here are the ones that are not swing districts; check out the linked numbers to see for yourself. HD41 was pretty stable, and I will note that the current version of HD74 was carried by Trump, so the new map is a bit friendlier to the Dems, at least for now. HD80 is the Beto district that Biden lost, and as with every other Latino district we’re just going to have to see how it performs in a non-Trump year. If State Rep. Alex Dominguez, the incumbent in HD37, does indeed primary Sen. Eddie Lucio, that puts another Dem seat squarely in the danger zone. (Modulo the pending litigation, of course.)


Dist  Obama  Romney Obama%Romney%    Biden   Trump Biden% Trump%
================================================================
033  16,134  40,104  28.2%  70.1%   35,618  53,384  39.3%  58.9%
057  13,506  30,350  30.3%  68.0%   36,387  47,660  42.6%  55.8%
061  15,178  34,157  30.3%  68.1%   43,274  50,795  45.2%  53.0%
063  20,983  40,571  33.5%  64.8%   42,303  47,444  46.4%  52.0%
065  18,851  36,946  33.3%  65.2%   43,265  51,231  45.1%  53.4%
066  19,348  41,191  31.5%  67.0%   43,902  51,608  45.2%  53.1%
067  16,268  32,870  32.6%  65.7%   39,889  47,769  44.6%  53.5%
070  23,926  36,395  38.9%  59.2%   45,111  35,989  54.7%  43.6%
084  17,622  30,644  35.8%  62.3%   25,604  36,144  40.7%  57.5%
089  18,681  39,334  31.6%  66.6%   39,563  49,499  43.5%  54.5%
093  13,971  29,638  31.6%  67.0%   34,205  45,799  42.0%  56.2%
094  23,934  46,010  33.6%  64.6%   37,985  45,950  44.4%  53.8%
096  22,912  42,668  34.5%  64.2%   39,472  48,073  44.4%  54.1%
097  21,540  40,721  34.0%  64.4%   38,218  46,530  44.3%  53.9%
099  17,899  33,551  34.2%  64.2%   31,245  43,999  40.8%  57.5%
106  12,893  30,578  29.2%  69.3%   38,447  50,868  42.4%  56.2%
108  26,544  58,932  30.7%  68.1%   54,481  55,364  48.9%  49.7%
112  24,601  44,320  35.2%  63.4%   44,881  45,370  48.9%  49.4%

So much action in the Multiplex. HD33 is Rockwall and a piece of Collin. HDs 61 and 70 are Collin, HD57 is Denton. I have lumped HD84 in here as well, even though it’s Lubbock and it remains on the fringe, but I don’t care. We will make a race out of that district yet! HDs 108 and 112 in Dallas are also much more Republican downballot than they were at the top, and while I think they will eventually fall, it’s unlikely to be in 2022. HD70, by the way, is the other district that flipped Dem in 2018.

Everywhere else I look, I see districts that are about as competitive as the formerly Republican-held districts of Dallas County were circa 2012. (Note how none of them have made an appearance in this post.) Look at how huge those splits were a decade ago. A decade in the future, either we’re going to be grimly hailing the evil genius of this gerrymander, or we’re going to be chuckling about Republican hubris and how if they’d maybe thrown another district or two to the Dems they could have saved themselves a bucketful of losses.


Dist  Obama  Romney Obama%Romney%    Biden   Trump Biden% Trump%
================================================================
025  16,141  33,014  32.4%  66.2%   29,441  43,675  39.7%  58.9%
026  14,574  36,701  32.4%  66.2%   37,863  47,532  43.7%  54.8%
028  15,831  33,229  31.9%  67.0%   36,213  46,580  43.1%  55.4%
029  18,280  37,848  32.1%  66.5%   32,787  46,758  40.6%  57.9%
126  18,574  47,202  27.9%  70.7%   35,306  50,023  40.8%  57.8%
127  19,674  45,760  29.7%  69.1%   38,332  53,148  41.3%  57.3%
129  21,321  45,292  31.5%  66.9%   38,399  51,219  42.2%  56.2%
132  13,399  31,974  29.1%  69.5%   35,876  46,484  42.9%  55.6%
133  21,508  45,099  31.8%  66.7%   40,475  42,076  48.4%  50.3%
134  34,172  42,410  43.7%  54.3%   66,968  38,704  62.5%  36.1%
138  20,133  40,118  32.9%  65.6%   37,617  42,002  46.6%  52.0%
144  17,471  16,254  51.1%  47.6%   25,928  20,141  55.6%  43.2%
148  20,954  19,960  50.4%  48.0%   34,605  24,087  58.1%  40.5%
150  14,511  34,552  29.2%  69.6%   34,151  45,789  42.1%  56.5%

Finally, the Houston area. HDs 25 and 29 are Brazoria County, HDs 26 and 28 are Fort Bend. The now-in-Fort-Bend HD76 slides in here as another former swing district, going from 51-48 for Romney to 61-38 for Biden. I threw HD134 in here even though it’s obviously not a swing district by any reasonable measure in part because it was once the epitome of a swing district, and because damn, just look at how far that district shifted towards Dems. The open HD133 is unfortunately another one of those redder-downballot districts, so even though it’s an open seat don’t get your hopes up too much for this cycle. Maybe later on, we’ll see.

I’m fascinated by HD144, which like HD74 is now slightly more Dem than it was under the existing map. I guess Republicans had other priorities in the area. As for HD148, it’s a little jarring to see it as a genuine swing district from 2012, though it barely qualifies as of 2020. Rep. Penny Morales Shaw has complained about the changes made to her district, not just geographically but also by reducing that Latino CVAP by almost ten points. Finally, I will note that while the GOP shored up HD138, it’s another district that used to be a lot redder than it is now. Again, we’ll just have to see how resilient that is. That “genius/hubris” divide will largely come down to places like that.

I hope this helped shed some light on what these districts may be going forward. As always, let me know what you think.

Precinct analysis: Congress, part 2

Sep 21st, 2021

by Charles Kuffner.

1 comment

Introduction
Congressional districts
State Rep districts
Commissioners Court/JP precincts
Comparing 2012 and 2016
Statewide judicial
Other jurisdictions
Appellate courts, Part 1
Appellate courts, Part 2
Judicial averages
Other cities
District Attorney
County Attorney
Sheriff
Tax Assessor
County Clerk
HCDE
Fort Bend, part 1
Fort Bend, part 2
Fort Bend, part 3
Brazoria County
Harris County State Senate comparisons
State Senate districts 2020
State Senate district comparisons
State House districts 2020, part 1
State House districts 2020, part 2
Median districts
State House district changes by demography
State House district changes by county
SBOE
Congress, part 1

I didn’t want to leave the Congressional district analysis without looking at some downballot races, since I mentioned them in the first part. To keep this simple, I’m just going to compare 2020 to 2012, to give a bookends look at things. I’ve got the Senate race (there was no Senate race in 2016, another reason to skip that year), the Railroad Commissioner race, and the Supreme Court race with Nathan Hecht.


Dist   Hegar   Cornyn  Hegar% Cornyn%
=====================================
01    79,626  217,942  26.30%  71.90%
02   157,925  180,504  45.50%  52.00%
03   188,092  224,921  44.50%  53.20%
04    79,672  256,262  23.20%  74.70%
05   101,483  173,929  36.00%  61.70%
06   155,022  178,305  45.30%  52.10%
07   154,670  152,741  49.20%  48.60%
08   100,868  275,150  26.20%  71.50%
09   168,796   54,801  73.50%  23.90%
10   191,097  215,665  45.90%  51.80%
11    54,619  232,946  18.60%  79.20%
12   129,679  228,676  35.20%  62.00%
13    50,271  217,949  18.30%  79.40%
14   117,954  185,119  38.00%  59.60%
15   110,141  111,211  48.10%  48.60%
16   148,484   73,923  63.10%  31.40%
17   127,560  174,677  41.00%  56.20%
18   178,680   60,111  72.60%  24.40%
19    65,163  194,783  24.40%  73.00%
20   163,219   99,791  60.10%  36.80%
21   203,090  242,567  44.50%  53.10%
22   188,906  214,386  45.80%  52.00%
23   135,518  150,254  46.10%  51.10%
24   165,218  171,828  47.80%  49.70%
25   165,657  222,422  41.70%  56.00%
26   168,527  256,618  38.60%  58.70%
27    98,760  169,539  35.90%  61.70%
28   118,063  107,547  50.60%  46.10%
29    99,415   51,044  64.00%  32.80%
30   203,821   53,551  77.00%  20.20%
31   178,949  206,577  45.20%  52.20%
32   170,654  165,157  49.60%  48.00%
33   111,620   41,936  70.40%  26.50%
34   101,691   93,313  50.60%  46.50%
35   175,861   87,121  64.50%  32.00%
36    78,544  218,377  25.90%  71.90%


Dist   Casta   Wright  Casta% Wright%
=====================================
01    75,893  217,287  25.20%  72.20%
02   153,630  176,484  44.90%  51.60%
03   181,303  220,004  43.70%  53.00%
04    76,281  254,688  22.50%  75.00%
05   100,275  171,307  35.80%  61.20%
06   151,372  176,517  44.60%  52.00%
07   149,853  149,114  48.50%  48.20%
08    97,062  271,212  25.60%  71.40%
09   168,747   51,862  74.10%  22.80%
10   184,189  211,020  44.90%  51.40%
11    53,303  230,719  18.30%  79.10%
12   123,767  227,786  33.90%  62.50%
13    47,748  215,948  17.60%  79.50%
14   114,873  182,101  37.40%  59.40%
15   113,540  103,715  50.50%  46.10%
16   144,436   75,345  62.30%  32.50%
17   121,338  171,677  39.70%  56.20%
18   177,020   57,783  72.60%  23.70%
19    62,123  192,844  23.60%  73.20%
20   165,617   93,296  61.40%  34.60%
21   197,266  234,785  43.90%  52.30%
22   184,521  209,495  45.50%  51.60%
23   136,789  144,156  47.10%  49.60%
24   160,511  167,885  47.10%  49.20%
25   157,323  218,711  40.30%  56.00%
26   160,007  251,763  37.30%  58.70%
27    97,797  165,135  36.00%  60.80%
28   121,898  100,306  52.90%  43.60%
29   102,354   46,954  66.30%  30.40%
30   204,615   50,268  77.60%  19.10%
31   169,256  203,981  43.40%  52.30%
32   168,807  160,201  49.60%  47.10%
33   111,727   40,264  71.10%  25.60%
34   105,427   86,391  53.30%  43.70%
35   173,994   82,414  64.70%  30.60%
36    76,511  216,585  25.40%  72.00%


Dist Meachum    HechtMeachum%  Hecht%
=====================================
01    79,995  215,240  26.60%  71.50%
02   154,787  179,887  45.20%  52.50%
03   185,076  220,662  44.60%  53.10%
04    79,667  253,119  23.50%  74.50%
05   101,813  172,186  36.40%  61.50%
06   155,372  175,793  45.80%  51.80%
07   149,348  154,058  48.20%  49.70%
08    99,434  272,277  26.20%  71.60%
09   170,611   52,213  75.00%  22.90%
10   188,253  212,284  45.80%  51.60%
11    56,146  228,708  19.30%  78.50%
12   129,478  225,206  35.50%  61.80%
13    51,303  214,434  18.90%  78.90%
14   118,324  181,521  38.50%  59.10%
15   115,046  103,787  51.20%  46.20%
16   149,828   73,267  64.20%  31.40%
17   126,952  170,378  41.50%  55.70%
18   179,178   58,684  73.50%  24.10%
19    66,333  190,784  25.20%  72.30%
20   166,733   93,546  62.00%  34.80%
21   200,216  237,189  44.50%  52.80%
22   188,187  210,138  46.30%  51.70%
23   138,391  143,522  47.70%  49.50%
24   164,386  168,747  48.10%  49.40%
25   162,591  218,370  41.60%  55.80%
26   168,621  251,426  39.10%  58.30%
27   100,675  164,273  37.10%  60.50%
28   122,263   99,666  53.50%  43.60%
29   101,662   48,349  66.00%  31.40%
30   207,327   50,760  78.50%  19.20%
31   172,531  198,717  45.00%  51.80%
32   169,325  163,993  49.60%  48.10%
33   112,876   40,077  71.80%  25.50%
34   104,142   84,361  53.80%  43.50%
35   177,097   82,098  66.00%  30.60%
36    78,170  216,153  26.00%  71.90%

	
Dist  Sadler     Cruz Sadler%   Cruz%
=====================================
01    76,441  169,490  30.55%  67.74%
02    84,949  155,605  34.35%  62.92%
03    88,929  168,511  33.52%  63.52%
04    69,154  174,833  27.60%  69.79%
05    73,712  130,916  35.14%  62.41%
06   100,573  143,297  40.12%  57.16%
07    89,471  141,393  37.73%  59.63%
08    55,146  190,627  21.88%  75.64%
09   140,231   40,235  76.35%  21.91%
10   103,526  154,293  38.76%  57.76%
11    45,258  175,607  19.93%  77.32%
12    77,255  162,670  31.22%  65.74%
13    43,022  175,896  19.12%  78.17%
14    97,493  142,172  39.77%  58.00%
15    79,486   62,277  54.55%  42.74%
16    91,289   56,636  59.66%  37.02%
17    82,118  130,507  37.31%  59.30%
18   145,099   45,871  74.37%  23.51%
19    52,070  155,195  24.37%  72.65%
20   106,970   73,209  57.47%  39.33%
21   115,768  181,094  37.32%  58.38%
22    90,475  157,006  35.74%  62.02%
23    86,229   98,379  45.28%  51.66%
24    90,672  147,419  36.88%  59.97%
25   101,059  155,304  37.79%  58.07%
26    77,304  173,933  29.66%  66.74%
27    81,169  125,913  38.11%  59.12%
28    90,481   68,096  55.14%  41.50%
29    71,504   38,959  63.27%  34.47%
30   168,805   44,782  77.58%  20.58%
31    89,486  138,886  37.46%  58.13%
32   103,610  141,469  41.03%  56.03%
33    81,568   33,956  68.96%  28.71%
34    79,622   60,126  55.23%  41.71%
35   101,470   56,450  61.37%  34.14%
36    63,070  168,072  26.66%  71.04%


Dist   Henry    Cradd  Henry%  Cradd%
=====================================
01    67,992  170,189  27.73%  69.41%	
02    78,359  155,155  32.30%  63.95%	
03    80,078  167,247  31.02%  64.80%	
04    64,908  170,969  26.53%  69.87%	
05    69,401  129,245  33.75%  62.86%	
06    96,386  141,220  39.03%  57.18%	
07    80,266  143,409  34.60%  61.81%	
08    51,716  188,005  20.83%  75.74%	
09   138,893   39,120  76.19%  21.46%	
10    94,282  153,321  36.00%  58.54%	
11    44,310  171,250  19.77%  76.42%	
12    72,582  160,255  29.85%  65.90%	
13    42,402  171,310  19.15%  77.36%	
14    96,221  137,169  39.91%  56.89%	
15    81,120   56,697  56.51%  39.50%	
16    90,256   49,563  60.67%  33.31%	
17    77,899  126,329  36.20%  58.70%	
18   142,749   44,416  73.97%  23.01%	
19    50,735  150,643  24.17%  71.76%	
20   102,998   72,019  56.19%  39.29%	
21   103,442  181,345  34.03%  59.66%	
22    85,869  155,271  34.42%  62.24%	
23    85,204   92,976  45.63%  49.79%	
24    83,119  146,534  34.52%  60.85%	
25    92,074  153,051  35.16%  58.44%	
26    71,177  172,026  27.82%  67.24%	
27    79,313  120,235  38.16%  57.84%	
28    94,545   59,311  58.53%  36.72%	
29    72,681   35,059  65.14%  31.42%	
30   166,852   43,206  77.43%  20.05%	
31    82,045  136,810  35.10%  58.52%	
32    92,896  143,313  37.69%  58.15%	
33    81,885   30,941  69.96%  26.43%	
34    82,924   50,769  58.78%  35.99%	
35    97,431   55,398  59.79%  34.00%	
36    62,309  161,751  26.88%  69.79%


Dist   Petty    Hecht  Petty%  Hecht%
=====================================
01    71,467  163,306  29.37%  67.11%
02    84,472  147,576  35.05%  61.23%
03    85,368  161,072  33.16%  62.56%
04    68,551  163,313  28.26%  67.31%
05    72,559  123,012  35.59%  60.34%
06   101,437  133,905  41.29%  54.51%
07    86,596  135,562  37.63%  58.90%
08    55,495  181,582  22.47%  73.53%
09   141,509   36,555  77.91%  20.13%
10   100,998  146,370  38.76%  56.17%
11    47,657  163,669  21.49%  73.81%
12    76,959  153,820  31.79%  63.53%
13    46,099  162,448  21.01%  74.02%
14   100,566  131,348  41.86%  54.67%
15    83,009   53,962  58.27%  37.88%
16    93,997   46,517  63.26%  31.31%
17    82,692  120,206  38.64%  56.16%
18   145,329   41,564  75.56%  21.61%
19    54,458  143,426  26.12%  68.80%
20   109,712   66,441  59.93%  36.29%
21   112,633  172,657  37.12%  56.90%
22    91,252  149,320  36.71%  60.06%
23    90,554   87,003  48.74%  46.83%
24    89,019  139,910  37.09%  58.29%
25    98,663  145,549  37.88%  55.87%
26    76,953  165,377  30.12%  64.73%
27    83,222  114,299  40.30%  55.36%
28    97,850   55,633  60.91%  34.63%
29    74,382   33,124  66.97%  29.82%
30   169,799   39,877  78.96%  18.54%
31    89,084  128,420  38.24%  55.13%
32    97,997  137,060  39.92%  55.84%
33    84,095   28,859  72.01%  24.71%
34    85,950   47,645  61.27%  33.96%
35   102,646   51,225  63.03%  31.46%
36    66,497  154,956  28.85%  67.24%

There are two things that jump out at me when I look over these numbers. The first actually has to do with the statewide totals. Joe Biden cut the deficit at the Presidential level nearly in half from 2012 – where Barack Obama trailed Mitt Romney by 1.26 million votes, Biden trailed Trump by 631K. The gains were not as dramatic in the Senate and RRC races, but there was progress. Ted Cruz beat Paul Sadler by 1.246 million votes, while John Cornyn beat MJ Hegar by 1.074 million; for RRC, Christi Craddock topped Dale Henry by 1.279 million and Jim Wright bested Chrysta Castaneda by 1.039 million. Not nearly as much progress, but we’re going in the right direction. At the judicial level, however, that progress wasn’t there. Nathan Hecht, then running for Supreme Court Place 6, won in 2012 by 908K votes, and he won in 2020 by 934K. That’s a little misleading, because in the only other contested statewide judicial race in 2012, Sharon Keller beat Keith Hampton for CCA by 1.094 million votes, and five out of the seven Dems running in 2020 did better than that. Still, the point remains, the judicial races were our weakest spot. If we really want to turn Texas blue, we will need more of an investment in these races as well.

One explanation for this is that Dem statewide judicial candidates didn’t do as well in at least some of the trending-blue places. Hegar and Castaneda both carried CD07, but only two of the Dem judicial candidates did, Staci Williams and Tina Clinton. All of them carried CD32, but none of them by more than two points, while Biden took it by ten; to be fair, Hegar won it by less than two, and Castaneda had the best performance with a 2.6 point margin. Maybe these folks were motivated by Trump more than anything else, and they didn’t see the judicial races in those terms. I have noted before that Dem judicial candidates did better in CD07 in 2018 than in 2020, so maybe the higher turnout included more less-likely Republicans than one might have expected. Or maybe these folks are in the process of becoming Democratic, but aren’t all the way there yet. Just something to think about.

On the flip side of that, while Hegar underperformed in the three closer-than-expected Latino Democratic districts CD15, CD28, and CD34 – Cornyn actually carried CD15 by a smidge – everyone else did better, and indeed outperformed Biden in those districts. The judicial candidates all carried CDs 28 and 34 by at least six points, with most in the 8-9 range and a couple topping ten, and all but two carried CD15 by a wider margin that Biden’s 1.9 points, with them in the three-to-five range. Still a disconcerting step back from 2012 and 2016, but at least for CDs 28 and 34 it’s still a reasonably comfortable margin. Maye this is the mirror image of the results in CDs 07 and 32, where the Presidential race was the main motivator and people were more likely to fall back on old patterns elsewhere. As with CDs 07 and 32, we’ll have to see where those trends go from here.

After however many entries in this series, I don’t have a whole lot more to say. We’ll be getting new maps soon, and we’ll have a better idea of what the immediate future looks like. I think the last two decades has shown us that there’s only so far out in the future that redistricting will be predictive in such a dynamic and growing state as Texas, but we have seen the winds shift more than once, so let’s not get too comfortable with any one idea. Whatever we get in this session is not etched in stone, and we still have some hope for federal legislation. For now, this is what we’re up against.

Precinct analysis: Congress, part 1

Sep 14th, 2021

by Charles Kuffner.

Comments are off for this post

In addition to the SBOE data, we finally have 2020 election results for the Congressional districts as well. With the redistricting special session about to start, let’s look at where things were in the last election.


Dist   Biden    Trump  Biden%  Trump%
=====================================
01    83,221  218,689   27.2%   71.5%
02   170,430  174,980   48.6%   49.9%
03   209,859  214,359   48.6%   49.6%
04    84,582  258,314   24.3%   74.3%
05   107,494  172,395   37.9%   60.8%
06   164,746  175,101   47.8%   50.8%
07   170,060  143,176   53.6%   45.1%
08   109,291  274,224   28.1%   70.5%
09   178,908   54,944   75.7%   23.2%
10   203,937  210,734   48.4%   50.0%
11    58,585  235,797   19.7%   79.1%
12   140,683  224,490   37.9%   60.4%
13    54,001  219,885   19.4%   79.1%
14   124,630  185,961   39.5%   59.0%
15   119,785  115,317   50.4%   48.5%
16   160,809   77,473   66.4%   32.0%
17   137,632  172,338   43.5%   54.5%
18   189,823   57,669   75.7%   23.0%
19    71,238  195,512   26.3%   72.2%
20   177,167   96,672   63.7%   34.7%
21   220,439  232,935   47.8%   50.5%
22   206,114  210,011   48.8%   49.7%
23   146,619  151,914   48.5%   50.2%
24   180,609  161,671   51.9%   46.5%
25   177,801  216,143   44.3%   53.9%
26   185,956  248,196   42.1%   56.2%
27   104,511  170,800   37.4%   61.1%
28   125,628  115,109   51.6%   47.2%
29   106,229   52,937   65.9%   32.9%
30   212,373   50,270   79.8%   18.9%
31   191,113  202,934   47.4%   50.3%
32   187,919  151,944   54.4%   44.0%
33   117,340   41,209   73.0%   25.6%
34   106,837   98,533   51.5%   47.5%
35   188,138   84,796   67.6%   30.5%
36    82,872  221,600   26.9%   71.9%

Joe Biden carried 14 of the 36 Congressional districts, the 13 that Democratic candidates won plus CD24. He came close in a lot of others – within two points in CDs 02, 03, 10, 22, and 23, and within five in CDs 06, 21, and 31 – but the Congressional map gets the award for most effecting gerrymandering, as the Presidential results most closely matched the number of districts won.

Generally speaking, Biden did a little worse than Beto in 2018, which isn’t a big surprise given that Beto lost by two and a half points while Biden lost by five and a half. Among the competitive districts, Biden topped Beto in CDs 03 (48.6 to 47.9), 07 (53.6 to 53.3), and 24 (51.9 to 51.6), and fell short elsewhere. He lost the most ground compared to Beto in the Latino districts, which is a subject we have covered in much detail. I only focused on the closer districts in my 2018 analysis, but you can see the full 2018 data here. Biden’s numbers are far more comparable to Hillary Clinton’s in 2016 – I’ll get into that in more detail in a subsequent post.

As we have also seen elsewhere, Biden’s underperformance in the Latino districts – specifically, CDs 15, 28, and 34 – was generally not replicated by other candidates down the ballot. Again, I’ll get to this in more detail later, but with the exception of John Cornyn nipping MJ Hegar in CD15, Democrats other than Biden generally carried those districts by five to ten points, still closer than in 2016 but not as dire looking as they were at the top. Interestingly, where Biden really overperformed compared to the rest of the Democratic ticket was with the judicial races – Republicans carried all but one of the statewide judicial races in CD07, for example. We discussed that way back when in the earlier analyses, but it’s been awhile so this is a reminder. That’s also not too surprising given the wider spread in the judicial races than the Presidential race, and it’s also a place where one can be optimistic (we still have room to grow!) or pessimistic (we’re farther away than we thought!) as one sees fit.

I don’t have a lot more to say here that I haven’t already said in one or more ways before. The main thing to think about is that redistricting is necessarily different for the Congressional map simply because there will be two more districts. (We should think about adding legislative districts, especially Senate districts, but that’s a whole ‘nother thing.) I have to assume that Republicans will try to give themselves two more districts, one way or another, but I suppose it’s possible they could just seek to hold serve, if going for the gusto means cutting it too close in too many places. I figure we’ll see a starter map pretty soon, and from there it will be a matter of what alternate realities get proposed and by whom. For sure, the future plaintiffs in redistricting litigation will have their own maps to show off.

For comparison, as I did in other posts, here are the Congressional numbers from 2016 and 2012:


Dist Clinton    TrumpClinton%  Trump%
=====================================
1     66,389  189,596  25.09%  71.67%
2    119,659  145,530  42.75%  52.00%
3    129,384  174,561  39.90%  53.83%
4     60,799  210,448  21.63%  74.86%
5     79,759  145,846  34.18%  62.50%
6    115,272  148,945  41.62%  53.78%
7    124,722  121,204  48.16%  46.81%
8     70,520  214,567  23.64%  71.93%
9    151,559   34,447  79.14%  17.99%
10   135,967  164,817  42.82%  51.90%
11    47,470  193,619  19.01%  77.55%
12    92,549  177,939  32.47%  62.43%
13    40,237  190,779  16.78%  79.54%
14   101,228  153,191  38.29%  57.95%
15   104,454   73,689  56.21%  39.66%
16   130,784   52,334  67.21%  26.89%
17    96,155  139,411  38.43%  55.72%
18   157,117   41,011  76.22%  19.90%
19    53,512  165,280  23.31%  71.99%
20   132,453   74,479  60.21%  33.86%
21   152,515  188,277  42.05%  51.91%
22   135,525  159,717  43.91%  51.75%
23   115,133  107,058  49.38%  45.92%
24   122,878  140,129  44.28%  50.50%
25   125,947  172,462  39.94%  54.69%
26   109,530  194,032  34.01%  60.25%
27    85,589  140,787  36.36%  59.81%
28   109,973   72,479  57.81%  38.10%
29    95,027   34,011  70.95%  25.39%
30   174,528   40,333  79.08%  18.27%
31   117,181  153,823  40.07%  52.60%
32   134,895  129,701  48.44%  46.58%
33    94,513   30,787  72.78%  23.71%
34   101,704   64,716  59.07%  37.59%
35   128,482   61,139  63.59%  30.26%
36    64,217  183,144  25.13%  71.68%

Dist   Obama   Romney  Obama% Romney%
=====================================
01    69,857  181,833  27.47%  71.49%
02    88,751  157,094  35.55%  62.93%
03    93,290  175,383  34.13%  64.16%
04    63,521  189,455  24.79%  73.95%
05    73,085  137,239  34.35%  64.49%
06   103,444  146,985  40.72%  57.87%
07    92,499  143,631  38.57%  59.89%
08    55,271  195,735  21.74%  76.97%
09   145,332   39,392  78.01%  21.15%
10   104,839  159,714  38.77%  59.06%
11    45,081  182,403  19.55%  79.10%
12    79,147  166,992  31.65%  66.77%
13    42,518  184,090  18.51%  80.16%
14    97,824  147,151  39.44%  59.32%
15    86,940   62,883  57.35%  41.48%
16   100,993   54,315  64.03%  34.44%
17    84,243  134,521  37.76%  60.29%
18   150,129   44,991  76.11%  22.81%
19    54,451  160,060  25.02%  73.55%
20   110,663   74,540  58.77%  39.59%
21   119,220  188,240  37.85%  59.76%
22    93,582  158,452  36.68%  62.11%
23    94,386   99,654  47.99%  50.67%
24    94,634  150,547  37.98%  60.42%
25   102,433  162,278  37.80%  59.89%
26    80,828  177,941  30.70%  67.59%
27    83,156  131,800  38.15%  60.46%
28   101,843   65,372  60.21%  38.65%
29    75,720   37,909  65.89%  32.99%
30   175,637   43,333  79.61%  19.64%
31    92,842  144,634  38.11%  59.36%
32   106,563  146,420  41.46%  56.97%
33    86,686   32,641  71.93%  27.09%
34    90,885   57,303  60.71%  38.28%
35   105,550   58,007  62.94%  34.59%
36    61,766  175,850  25.66%  73.05%

Looking at the 2016 numbers, you can begin to see the outlines of future competitiveness. That’s more a function of Trump’s weak showing in the familiar places than anything else, but Democrats got their numbers up enough to make it a reality. Looking back at 2012 and you’re reminded again of just how far we’ve come. Maybe we’ll reset to that kind of position in 2022, I don’t know, but that’s a little harder to imagine when you remember that Mitt Romney won the state by ten more points than Trump did. We’ll be going down that rabbit hole soon enough. As always, let me know what you think.

Precinct analysis: SBOE

Sep 7th, 2021

by Charles Kuffner.

1 comment

Hey, guess what? The 2020 election data is finally on the Texas Redistricting page for Congress and the State Board of Education. It had been there for awhile for the State House and State Senate, which is why I was able to do those most recent Precinct Analysis piece. Now I can fill in the missing pieces, and I will start here with the State Board of Education, which has a current composition of nine Republicans and six Democrats following the Dem flip in SBOE5. Here’s what the 2020 results looked like for these districts:


Dist   Biden    Trump  Biden%  Trump%
=====================================
01   288,864  245,645   53.3%   45.3%
02   259,587  281,363   47.4%   51.4%
03   361,827  238,999   59.4%   39.2%
04   388,518  117,290   75.9%   22.9%
05   554,766  475,249   52.9%   45.3%
06   391,913  371,101   50.6%   47.9%
07   351,218  509,642   40.2%   58.4%
08   307,826  526,425   36.3%   62.2%
09   196,720  577,419   25.1%   73.7%
10   440,594  445,355   48.7%   49.3%
11   383,185  472,594   44.1%   54.3%
12   469,730  429,676   51.3%   47.0%
13   401,190  128,910   74.7%   24.0%
14   310,738  570,422   34.7%   63.7%
15   150,843  498,932   22.9%   75.6%

Before we dive into the numbers, you’re probably wondering where these districts are. I know I don’t have a mental map of the SBOE like I do for the legislative districts. Here is the SBOE statewide map, and the District Viewer, which you can zoom in on to the street level. That will be your best friend for when the new maps are coming out.

So the numbers. As you can see, Joe Biden carried seven of the fifteen districts, falling just short in district 10 for a majority but carrying Republican-held districts 6 and 12. The bad news is that he did not carry district 2, which is a Democratic district held by Ruben Cortez, who was not on the ballot after winning re-election in 2018 by seven points. District 2 has been purple through the decade but it was on the blue side of purple before 2020. Beto carried SBOE2 in 2018, but only by 4.5 points; Greg Abbott won it by a wider margin, with Glenn Hegar and George P Bush also carrying it. Based on this I think Cortez would have held it had it been on the ballot last year, but I feel confident they’ll make a stronger push for it next year.

Here’s my look at the 2018 results for these districts, for which Beto won nine districts, carrying SBOE2 and 10 where Biden fell short. As you know, District 5 has been on my radar since 2016 when Hillary Clinton carried it, and it came through as I expected. District 10 was the longest-shot of the potential takeovers, with districts 12 and 6 being in between. If we went into the 2022 elections with the same districts, I’d feel like Democratic SBOE candidates would win between five and seven districts (remember, everyone is on the ballot in the first post-redistricting year), with 2 and 12 being the main variables. I see 6 and 10 as tougher nuts to crack, with 10 having more Republican turf in it, and 6 starting from a redder place and thus just taking longer to get where I think it would be going.

Obviously, all of this will be affected by redistricting, and not only is there a greater degree of freedom for the GOP given the small number of districts, there’s been little to no attention paid to SBOE districts. The SBOE map was never part of any voting rights litigation in the 2011 cycle. I have no idea how much attention it will get this time, but as SBOE5 was one of the few Democratic pickups from 2020, I have to think that people will care a little more about it, on both sides.

As we know, Biden tended to run ahead of the rest of the Democratic ticket. It’s pretty straightforward here, in that the rest of the ticket carried five districts, with everyone winning SBOE5 but falling short in 2, 6, 10, and 12. Consistent with what we have seen in the House and Senate districts, Biden’s number in SBOE2 was about the same as everyone else’s, which you can interpret optimistically (it didn’t get any worse!) or pessimistically (Republicans overall improved, it wasn’t just Trump!) as you see fit.

For comparison, here are the numbers from 2016 and 2012:


Dist Clinton    TrumpClinton%  Trump%
=====================================
01   255,909  169,214   57.4%   37.9%
02   234,172  204,262   51.4%   44.9%
03   282,715  163,940   60.2%   34.9%
04   333,156   76,478   78.7%   18.1%
05   377,928  376,417   47.0%   46.8%
06   286,931  301,142   46.3%   48.6%
07   255,474  407,386   37.1%   59.2%
08   205,760  416,239   31.5%   63.7%
09   148,687  486,392   22.7%   74.1%
10   287,936  346,670   42.5%   51.2%
11   257,515  397,155   37.3%   57.6%
12   315,973  356,576   44.4%   50.1%
13   324,952  102,622   73.5%   23.2%
14   195,965  453,354   28.8%   66.5%
15   114,553  426,441   20.3%   75.5%

Dist   Obama   Romney  Obama% Romney%
=====================================
01   213,132  161,807   56.1%   42.6%
02   209,020  187,147   52.1%   46.7%
03   247,020  149,659   61.4%   37.2%
04   311,236   84,036   78.0%   21.1%
05   294,887  375,942   42.9%   54.7%
06   215,839  332,415   38.8%   59.7%
07   215,952  390,808   35.2%   63.6%
08   160,372  398,664   28.3%   70.3%
09   156,833  449,301   25.6%   73.3%
10   235,591  331,022   40.5%   57.0%
11   210,974  396,329   34.2%   64.3%
12   242,306  373,920   38.7%   59.7%
13   314,630  110,615   73.3%   25.8%
14   163,020  413,181   27.9%   70.6%
15   116,797  413,942   21.7%   76.9%

As noted, Hillary Clinton carried six districts, while Barack Obama carried five. The thing that always interests me is the shift over time, and you can see how dramatic it was in the districts that we’ve been talking about. Mitt Romney won districts 5, 6, 10, and 12 by double digits, with 6 and 12 being 20-point wins for him. Again, we have seen this in the previous posts, these districts are anchored in the big urban and suburban districts that have trended hard blue recently, this is just another way of looking at it. I like having the different views, you can always pick up some nuances when you have different angles.

I’m working on the Congressional data next. As always, let me know what you think.

A look ahead to Commissioners Court redistricting

Aug 24th, 2021

by Charles Kuffner.

4 comments

As we know, the Census redistricting data is out, and that means a whole lot of map-drawing is in our future. The main focus on this will be in Austin where the Congressional and legislative maps are re-drawn, but those are not the only entities that have this job to do. Harris County will be redrawing its Commissioners Court map, and this time for the first time in decades it will be done with a Democratic majority on the Court. What might be in store? Benjamin Chou with the Texas Signal provides an advance look at the possibilities.

Over the course of the last decade, population in Harris County boomed, growing by over 630,000 residents from 4.1 million in 2010 to 4.7 million today. Most of the population growth occurred in Precincts 3 and 4, which are also the same precincts currently held by the two Republicans.

In this round of redistricting, the Court will need to tweak the districts so that the four precincts have relatively similar population numbers. For this year’s sake, that means increasing the population in Precinct 2 and decreasing the population in Precincts 3 and 4. To do so, the Democratic-majority can attempt a range of actions that can be simplified into 3 main results: maintain the same 3–2 Democratic majority or increase their majority to 4–1.

The current Commissioners Court map was drawn a decade ago, by the then 4–1 Republican majority. At that time, Republicans held Precincts 2, 3, 4 and the county judge position. The map was drawn with the intent to solidify the Republican 4–1 majority by increasing Republican voters in those three precincts, particularly Precinct 2. The court did so by replacing Hispanic Democratic voters with Anglo Republicans.

They were successful through much of the decade. In the high-Republican turnout year of 2014, Republicans crushed Democrats. Republican Governor Greg Abbott won Precinct 2 by more than 16% of votes and Precincts 3 and 4 by more than 20% each. Even in 2018, when Beto O’Rourke lifted Democratic performance to its most competitive level in a generation, the Republican majority barely crumbled. County Judge Hidalgo, the only one of the five members of the court to be elected county-wide, won by less than 2%. Commissioner Garcia won Precinct 2 by 1%. Last year, when Democrats had a chance to flip Precinct 3, the Democratic candidate lost by 5%.

When considering how to redraw the map, the new Democratic majority will likely keep Precinct 1 solidly Democratic while shoring up Precinct 2 for Commissioner Garcia. The question is whether the court makes Precincts 3, 4, or neither more Democratic so a future challenger has a better chance of ousting the Republican incumbents.

The problem with choosing neither means the Republicans have a chance of flipping the current Democratic 3–2 majority in the event Democrats lose the County Judge position. Similarly, if the Court decides to make only Precinct 3 more Democratic, there remains a risk that Republicans win control because Precinct 3 is not up for election until 2024. Because Precinct 4 is up for election in 2022, the safest bet for Democrats to retain uninterrupted control will be to redraw Precinct 4 more Democratic.

Chou goes on to draw three potential new maps, one that just makes Precinct 2 more Democratic, which would end up with the same Court if Judge Hidalgo wins re-election, and one that shores up Precinct 2 while also turning a radically redrawn Precinct 4 Democratic as well. I’ll let you have a look and see what you think. You can also review this tweet from Hector DeLeon to see the Census population figures for each of the four precincts.

It’s a good writeup, and it captures the choices well. A couple of things that were not directly addressed: One, the Latino drift towards Trump in 2020, which we have discussed before multiple times. We saw that manifest here, though perhaps not as much as in South Texas, but in areas that would affect Precinct 2. Biden carried Precinct 2 in 2020 by a tiny margin, while other Dems generally fell short; in 2018 Beto won Precinct 2 by seven points, while other Dems generally carried it by four or five. For a variety of reasons we don’t know how this will play out in 2022, but we should start with the assumption that Latino voters are a little softer than we’d like, so that we don’t overestimate our position.

Two, we can’t just shove Anglo Republicans into Precinct 1 as a way to aid Precinct 2, because the Voting Rights Act is still more or less in effect, and retrogressing its Black population would be a violation of the VRA. Yes, the thought of a Republican plaintiff filing a VRA lawsuit over this is ironic to the point of causing nosebleeds, but care must still be taken.

Three, as Harris County continues to grow and change demographically, Precinct 3 as it is now will likely become more Democratic in time for the 2024 election without much else being done. Betting on that does entail the risk that the Court could swing Republican in 2022, either via Commissioner Garcia losing or Judge Hidalgo losing. I’m less worried about the latter, and the former can certainly be mitigated against, but this would allow for the possibility of getting to 4-1 without a complete redesign of the county map, which might be controversial politically in ways that are not currently apparent.

It should also be noted that redrawing the Commissioners Court map does the same for the HCDE Trustees map. As it happens, due to resignations and appointments, Dems have a 6-1 majority on that body right now, with all three At Large seats plus the Precincts 1, 2, and 3 positions in their column. I’m certain this will be a lower priority for consideration by the mapmakers, but it is worth keeping in mind.

Beyond that, we’ll see. Commissioners Court is under the same time constraints as the Lege, in that they need to get a new map in place in time for the 2022 primaries, whenever they wind up being. Assuming that will take place in May, and the filing period will be pushed back commensurately, they have a couple of months. Expect to see some action soon – if this is like last time, they’ll hire a consultant to do the actual work, with their specifications, and they will formally approve it once it suits their needs and the public has a chance to weigh in. I will of course be keeping an eye out for this.

Precinct analysis: State House district changes by county

Jul 6th, 2021

by Charles Kuffner.

3 comments

One more look at how state house districts have changed over the decade. For this exercise, I’m going to look at some key counties and the State Rep districts within them.

Bexar:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
122   -1,304  10,628  12,204  21,091  10,900  31,719  20,819
121   -4,020   6,534   6,059  15,078   2,039  21,612  19,573
116     -583   6,014   3,546  10,281   2,963  16,295  13,332
117    4,532   8,828  14,927  22,921  19,459  31,749  12,290
123   -1,427   5,225   3,742   9,272   2,315  14,497  12,182
124      330   5,077   5,877  11,756   6,207  16,833  10,626
125   -1,081   4,378   4,753   9,350   3,672  13,728  10,056
120     -184     863   4,503  10,856   4,319  11,719   7,400
119    1,062   3,428   6,041  10,507   7,103  13,935   6,832
118    1,391   3,719   6,633   7,790   8,024  11,509   3,485

Bexar County doesn’t get the props it deserves for contributing to the Democratic cause. Each of its ten districts became more Democratic in each of the two Presidential cycles. Where Bexar had gone 51.56% to 47.04% in 2012 for Obama, it went 58.20% to 40.05% for Biden. Obama had a net 23K votes in Bexar, while it was +140K votes for Biden. The two districts that shifted the most heavily towards Dems are the two Republican districts (HD117 went Republican in 2014, then flipped back in 2016), with Biden carrying HD121 as Beto had done in 2018, and HD122 coming into focus as a potential long-term pickup (modulo redistricting, of course). Both HDs 121 and 122 were over 60% for Romney, with HD122 at almost 68% for him. Both can and surely will be shored up in the next round of mapmaking, but the long term trends don’t look good for the Republicans holding them both.

Tarrant:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
092   -1,102   3,986   4,166  13,144   3,064  17,130  14,066
094   -3,344   2,238   2,655  10,231    -689  12,469  13,158
096      821   4,468   6,527  15,522   7,348  19,990  12,642
098     -489   6,891   8,798  13,948   8,309  20,839  12,530
097   -3,267   3,654   6,147  11,472   2,880  15,126  12,246
101     -734   3,487   4,523   9,808   3,789  13,295   9,506
093    2,751   5,180   9,984  15,697  12,735  20,877   8,142
091      401   2,489   5,437   8,897   5,838  11,386   5,548
090     -180   2,391   3,170   5,496   2,990   7,887   4,897
095     -613  -2,745   2,727   7,752   2,114   5,007   2,893
099    2,757   3,282   9,686  11,208  12,443  14,490   2,047

I know everyone sees Tarrant County as a disappointment in 2020. Beto broke through in 2018, we had a bunch of close districts to target, and the Republicans held them all even as Biden also carried Tarrant. The point here is that Democrats made progress in every district, in each cycle (the dip in predominantly Black and heavily Democratic HD95 in 2016 notwithstanding). That includes the strong Republican districts (HDs 91, 98, and 99), the strong D districts (HDs 90, 95, and 101), and the five swing districts. Tarrant will be another challenge for Republicans in redistricting because like in Harris they have mostly lost their deep red reserves. HD98 went from being a 75% Romney district to a 62% Trump district last year. They can spread things out a bit, but remember what happened in Dallas County in the 2010s when they got too aggressive. I’m not saying that’s what will happen in Tarrant, but you can see where the numbers are.

Collin:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
067   -3,022   8,595   6,135  19,411   3,113  28,006  24,893
066   -4,911   8,517   4,001  14,432    -910  22,949  23,859
089    1,038   6,667   9,980  17,338  11,018  24,005  12,987
033    4,656   8,268  18,234  20,233  22,890  28,501   5,611
070    7,648   8,675  21,284  25,686  28,932  34,361   5,429

Denton:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
065   -1,378   6,440   6,048  16,110   4,670  22,550  17,880
106    8,757  11,138  21,190  29,280  29,947  40,418  10,471
064    3,003   6,205   8,257  15,136  11,260  21,341  10,081
063    2,642   6,129  16,382  17,279  19,024  23,408   4,384

I’m grouping these two together because they have a lot in common. Both shifted hugely Democratic over the decade, in each case across all their districts. Both contain a district that was added to their county in the 2011 redistricting. HDs 33 (72-26 for Romney in 2012, 60-38 for Trump in 2020) and 106 (68-31 for Romney in 2012, 54-45 for Trump in 2020) were supposed to be super-red, but didn’t stay that way. I might have thought that the southernmost districts in each county – i.e., the ones closest to Dallas and Tarrant – would be the bluest, but that is not quite the case. HD65 is in southeast Denton, where it is almost entirely adjacent to HD115, but HD63 is the reddest district in Denton (61-37 Trump) and it is the other district on Denton’s south border, though it aligns almost perfectly with HD98, the reddest district in Tarrant. HD64 is the next most Dem district in Denton, and it’s in the northwest quadrant, catty-corner to HD65. I have to assume this is a function of development more than who its closest neighbors are; I’m sure someone who knows Denton better than I can comment on that.

In Collin, HDs 66 and 67 are on the southern end of that county, but so is HD89, where it abuts Rockwall County more than it does Dallas. HD70 is north of 67 and 89, and HD33 (which contains all of Rockwall County) is the outer edge of the county to the west, north, and east, dipping down into Rockwall from there. Both counties continue their massive growth, and I expect them to have at least one more district in them next decade. Republicans have more room to slosh voters around, but as above, the trends are not in their favor.

There are of course other counties that are growing a lot and not in a way that favors Republicans. Here are two more of them.

Williamson:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
136       52  10,901   7,842  22,330   7,894  33,231  25,337
052    2,422   8,335  11,479  22,872  13,901  31,207  17,306
020    7,373   2,895  20,820  14,926  28,193  17,821 -10,372

Fort Bend:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
026   -4,573   9,082   7,327  13,556   2,754  22,638  19,884
028    4,053  14,090  19,260  24,010  23,313  38,100  14,787
027     -461   4,708   6,324  13,724   5,863  18,432  12,569
085    2,908   5,495  10,258  10,161  13,166  15,656   2,490

HD20 also includes Milam and Burnet counties, and I suspect that’s where most of the Republican growth is. HD85 also includes Jackson and Wharton counties. The previous version of HD52 had flipped Dem in 2008, the first such incursion into the formerly all-red suburbs, before flipping back in 2010, but neither it (55-42 for Romney) nor the newcomer HD136 (55-41 Romney) were ever all that red. There were some maps drawn in the 2011 redistricting process (not by Republicans, of course) that carved HD26 out as a heavily Asian swing district (it went 63-36 for Romney as drawn), but it just needed time for the “swing” part to happen. Of the various targets from 2018 and 2020, it’s one that I feel got away, and I wish I understood that better.

Brazoria:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
029      496   8,084  10,828  15,387  11,324  23,471  12,147
025    1,759     215   8,293   3,874  10,052   4,089  -5,963

Galveston:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
024    2,403   3,959  13,045   8,928  15,448  12,887  -2,561
023    3,847     346  11,123   7,296  14,970   7,642  -7,328

Montgomery:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
015   -1,563   7,905  13,226  15,512  11,663  23,417  11,754
016    7,437   2,437  16,088   7,160  23,525   9,597 -13,928
003    7,758   1,807  17,456   8,286  25,214  10,093 -15,121

We’ve looked at these counties before, this is just a more fine-grained approach. Note that HD03 includes all of Waller County, HD25 includes all of Matagorda County, and HD23 includes all of Chambers County. HD23 was already Republican in 2012 when Craig Eiland still held it (Romney carried it 54.6 to 44.2) and while it has gotten more so since then (Trump won it 57.5 to 41.0), that has mostly been fueled by the Republican growth in Chambers. I did a quick calculation on the data from the Galveston County election results page, and Biden carried the Galveston part of HD23 by a slim margin, 29,019 to 28,896. (Republican rep Mayes Middleton won that part of the district 29,497 to 27,632, so this tracks.) The rest of Galveston, the northern part that’s all Houston suburb, is much more Republican, but like with these other two counties one can see a path forward from here. What to do about the likes of Chambers County, that’s another question.

HD29 in Brazoria should have been a target in 2018 but the Dem who won the primary dropped out of the race, and there was no traction that I could see there in 2020. I expect that district to get a little redder, but the same story as elsewhere applies in that the geographic trends are a force that won’t be stopped by boundary lines. As for Montgomery, there are your signs of progress right there. HD15 is still very red, but as I’ve said before, the first goal is to bend the curve, and we’re on the right track there. HD15 is basically the Woodlands and Shenandoah, just north of HD150, while HD03 wraps around it and HD16 is the north end of the county.

Lubbock:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
084     -474     873   4,124   6,975   3,650   7,848   4,198
083    3,359     242  12,224   5,141  15,583   5,383 -10,200

Smith:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
006       67     938   6,922   6,208   6,989   7,146     157
005    4,565  -1,293   9,646   2,832  14,211   1,539 -12,672

These two districts, on opposite ends of the state, may seem odd to be paired together, but they have a couple of things in common. Both contain one district that is entirely within its borders (HD06 in Smith, HD84 in Lubbock) and one district that contains the rest of their population plus several smaller neighboring counties (HD05 also contains Wood and Rains counties, while HD83 contains six other counties). Both have a city that is the bulk of of its population (the city of Lubbock has over 90% of the population of Lubbock County, while a bit less than half of Smith County is in the city of Tyler). And both provide a bit of evidence for my oft-stated thesis that these smaller cities in Texas, which are often in otherwise fairly rural and very Republican areas, provide the same kind of growth opportunity for Democrats that the bigger cities have provided.

Both HDs 06 and 84 were less red than Smith and Lubbock counties overall: Smith County was 69-30 for Trump, HD06 was 68-32 for Matt Schaefer; Lubbock County was 65-33 for Trump, and HD84 was 61-39 for John Frullo. I didn’t go into the precinct details to calculate the Trump/Biden numbers in those districts, but given everything we’ve seen I’d say we could add another point or two into the Dem column for each. HD84 shows a clear Democratic trend while HD06 is more of a mixed bag, but it’s still a slight net positive over the decade and a damn sight better than HD05. HD06 is not close to being competitive while HD84 is on the far outer fringes, but that’s not the main point. It’s the potential for Democratic growth, for which we will need every little contribution we can get, that I want to shout from the rooftops. The big cities and big growing suburbs are our top tier, but we’d be fools to ignore the places like Lubbock and Tyler.

Precinct analysis: State House district changes by demography

Jun 28th, 2021

by Charles Kuffner.

2 comments

I return once again to doing cycle-over-cycle comparisons in vote turnout, in this case for State House districts. There are a lot of them, and I’m not going to do them all but I am going to do enough of them that I will split this into two parts. Part One, this post, will group districts by demographic groups. Part Two, to come later, will be to group them by counties of interest.

First up, just to ease ourselves in, are the four big urban districts that are Anglo, wealthy, highly college-educated, and swung hard towards the Democrats since 2012:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
134  -10,943  15,312   6,540  17,771  -4,403  33,083  37,486
047   -2,005  14,218  13,145  27,678  11,140  41,896  30,756
108   -5,942  12,553   8,628  17,929   2,686  30,482  27,796
121   -4,020   6,534   6,059  15,078   2,039  21,612  19,573

As discussed before, the columns represent the difference in vote total for the given period and party, so “1216” means 2012 to 2016, “1620” means 2016 to 2020, and “1220” means 2012 to 2020. Each column has a D or an R in it, so “1216R” means the difference between 2016 Donald Trump and 2012 Mitt Romney for the Presidential table, and so forth. In each case, I subtract the earlier year’s total from the later year’s total, so the “-9,951” for SD114 in the “1216R” column means that Donald Trump got 9,951 fewer votes in 2016 in SD14 than Mitt Romney got, and the “56,887” for SD14 in the “1216D” column means that Hillary Clinton got 56,887 more votes than Barack Obama got. “Dem net” at the end just subtracts the “1220R” total from the “1220D” total, which is the total number of votes that Biden netted over Obama. Got it? Good.

Despite the large swings, only the top two are now Dem-held. HD108 managed to remain in the hands of Rep. Morgan Meyer despite being carried by statewide Dems all the way down the ballot, while HD121 still remains somewhat Republican-leaning. I don’t know what magic Republicans have in mind for redistricting, but their hold on these voters is slipping away rapidly. I can’t emphasize enough that Mitt Romney got 60% of the vote in HD134 in 2012, and look at where it is now.

I’ve written plenty about these districts, and I could have included more of them in this table. Most of those you will see later. There’s not much to add except to say that this particular demographic shift has been a huge driver in the overall blue-ing of Texas, and especially of its most populated areas. I don’t know what the future holds, but I don’t see that changing in the near term.

When I mentioned that this post was a look at the districts by demographic groups, I assume your first thought was that I’d take a closer look at Latino districts. Well, here you go:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
051      425  10,783   4,422  19,073   4,847  29,856  25,009
102   -4,430   5,333   2,511  10,832  -1,919  16,165  18,084
148   -1,481   8,555   5,598  10,113   4,117  18,668  14,551
107   -3,023   4,566     718   7,532  -2,305  12,098  14,403
103      -96   7,314   3,535  10,357   3,439  17,671  14,232
116     -583   6,014   3,546  10,281   2,963  16,295  13,332
117    4,532   8,828  14,927  22,921  19,459  31,749  12,290
105   -2,249   4,377   2,900   8,547     651  12,924  12,273
078   -1,129   6,723   6,731   9,618   5,602  16,341  10,739
124      330   5,077   5,877  11,756   6,207  16,833  10,626
125   -1,081   4,378   4,753   9,350   3,672  13,728  10,056
079     -453   7,038   4,976   6,495   4,523  13,533   9,010
075    1,734  11,011   9,747   8,599  11,481  19,610   8,129
104     -777   3,881   2,743   6,042   1,966   9,923   7,957
077   -1,530   5,080   3,539   3,936   2,009   9,016   7,007
119    1,062   3,428   6,041  10,507   7,103  13,935   6,832
145   -1,306   5,575   5,291   5,038   3,985  10,613   6,628
090     -180   2,391   3,170   5,496   2,990   7,887   4,897
118    1,391   3,719   6,633   7,790   8,024  11,509   3,485
076     -260   5,039   3,826   1,635   3,566   6,674   3,108
140     -733   4,433   4,140   1,810   3,407   6,243   2,836
144   -1,051   3,577   4,044   1,480   2,993   5,057   2,064
041    1,664   6,820   8,617   5,201  10,281  12,021   1,740
143   -1,038   3,244   4,483   1,446   3,445   4,690   1,245
022   -1,261  -2,280   1,510   2,254     249     -26    -275
034      620     799   6,012   3,759   6,632   4,558  -2,074
038    1,533   4,706   9,344   2,945  10,877   7,651  -3,226
040    2,384   3,753   8,981   3,433  11,365   7,186  -4,179
037      969   3,764   7,324      36   8,293   3,800  -4,493
036    1,482   5,527   9,847    -480  11,329   5,047  -6,282
039    2,071   3,256   8,411     836  10,482   4,092  -6,390
035    2,007   2,358   8,961   2,163  10,968   4,521  -6,447
042      882   2,195   7,908    -323   8,790   1,872  -6,918
043    2,532     162   8,001   1,059  10,533   1,221  -9,312
080    1,959   1,789   9,567     127  11,526   1,916  -9,610
074    1,127   2,708   9,454  -2,185  10,581     523 -10,058
031    3,017  -1,816  13,479    -412  16,496  -2,228 -18,724

A couple of notes here. Defining “Latino district” is subjective, and I make no claim that my way is optimal. What you see above is almost all of the districts that are represented by a Latino member, plus HD80, which despite being majority Latino is still represented by Democrat Tracy King. I skipped HDs 49 (Gina Hinojosa) and 50 (Celia Israel) because the’re much more Anglo than Latino. HDs 102, 105, and 107 were held by non-Latino Republicans before being flipped by Democrats in 2016 and 2018. HD43 is held by the one Latino Republican in the House, JM Lozano, who won originally as a Democrat in 2008 and then changed parties after the 2010 election. HDs 79 and 90 were held by Anglo Democrats in 2012; Lon Burnam was primaried out by Rep. Ramon Romero in 2014, and Joe Pickett resigned following the 2018 election due to health challenges.

There’s a lot of data here, and I’ll try to keep this manageable. All the districts that showed a net gain for Dems over both elections are in Bexar, Dallas, El Paso, Harris, Travis (HD51), and Tarrant (HD90), plus HD41 in Hidalgo County. In Bexar, Dallas, and Tarrant, there were net gains in each cycle. In El Paso, there were big gains in 2016 and more modest gains in 2020, with the exception of HD75, which had a slight gain for Republicans in 2020. HD75 is the easternmost and thus most rural of the El Paso districts. It also still voted 66.5% to 31.9% for Biden in 2020, just for some perspective.

In Harris, all five districts gained in 2016, but only HD148 also gained in 2020. HD145 came close to breaking even, while HDs 140, 143, and 144 all moved towards Republicans; we saw this when we looked at the Harris County Senate districts and talked about SD06. This is the first of several places where I will shrug my shoulders and say “we’ll see what happens in 2022”. Honestly, I don’t know what to expect. We’ve discussed this topic numerous times, and as there are forces moving urban and college-educated voters towards Democrats, the same forces are moving rural and non-college voters towards Republicans. The biggest of those forces is Donald Trump, whose presence on the ballot helped Republicans in 2016 and 2020 but whose absence hurt them in 2018. We just don’t know yet what 2022 will bring.

Of the districts that had net Republican gains, HD22 is in Jefferson County (basically, it’s Beaumont; Dade Phelan’s HD21 has the rest of JeffCo plus Orange County) and HD34 is in Nueces County. Jefferson County has been slowly losing population over time, and I think that was a big driver of what happened with HD22. It’s also much more Black than Latino, and thus maybe is a better fit with the next data set, but it has long been represented by Rep. Joe Deshtotel, and this is the decision I made. Nueces County also has the Republican-held HD32 in it, and it showed a net Democratic gain of 1,576 votes over the two cycles, with most of that in 2016 but still a small Dem net in 2020. Its Latino voting age population is about 46%, nearly identical to its Anglo VAP. HD34 was one of the tighter districts even before 2020, and I figure it’s on the target list for Republicans in redistricting.

Most of the other districts are in Cameron, Hidalgo, and Webb counties, and while 2020 was a better year for Republicans in all of them, I don’t think that will necessarily be the case in 2022, a belief driven in part by the incumbency theory and in part by my own wishfulness. That said, as noted before the shifts were more muted downballot, with Trump outperforming other Republicans in those districts. I had my doubts about the durability of Democratic gains in 2016 because of the disparity between the Hillary numbers and the rest of the numbers, and I think it’s fair to have those same doubts here. We do know how it went in 2018, but as before Trump is not on the ballot in 2022. Which force is stronger? Have the underlying conditions changed? I don’t know and neither does anyone else at this time.

HDs 31, 74, and 80 are all cobbled out of smaller counties, and I have much less hope for them, but who knows what the combined effects of the freeze and the Abbott Wall will have. The main thing I took away from analyzing this data is that there was already a Republican shift in 31 and 74 in 2016 with a near miss in 80, though they all rebounded in a Democratic direction in 2018. How much of this was caused by new voters, and how much by swapping allegiances, those are big questions to ponder.

Let’s move on. These are the predominantly Black districts:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
046     -331   7,462   4,363  20,080   4,032  27,542  23,510
027     -461   4,708   6,324  13,724   5,863  18,432  12,569
147   -1,282   3,575   4,571   9,831   3,289  13,406  10,117
109     -914    -500   1,853  11,161     939  10,661   9,722
111   -1,449  -1,155   1,627   8,981     178   7,826   7,648
120     -184     863   4,503  10,856   4,319  11,719   7,400
100     -840    -537   2,107   7,799   1,267   7,262   5,995
142      294   2,093   4,685   8,804   4,979  10,897   5,918
131     -642   2,681   4,289   6,642   3,647   9,323   5,676
146   -1,653    -923   2,438   6,798     785   5,875   5,090
139   -1,290   1,216   4,826   6,786   3,536   8,002   4,466
095     -613  -2,745   2,727   7,752   2,114   5,007   2,893
141      218    -721   2,594   4,405   2,812   3,684     872
110     -101  -3,010   1,820   3,362   1,719     352  -1,367

HD27 is in Fort Bend, HD46 is in Travis (it’s also much more Latino than Black but has long been represented by a Black legislator, with Dawnna Dukes preceding Sheryl Cole; it is the inverse of HD22 in that way), HD95 is in Tarrant, and HD120 is in Bexar. HD101 in Tarrant County has a higher Black percentage of its population than either HDs 46 or 120, but it’s held by the Anglo Dem Chris Turner, so I skipped it. All the rest are in Harris and Dallas. The range of outcomes here is fascinating. I think what we see in the 2016 results, at least in some of these districts, is a bit of a letdown in enthusiasm from Obama to Clinton, with perhaps a bit of the campaign to dampen turnout among Black Democrats finding some success. Some districts in Harris County like HD141 have had pretty modest growth in population and voter registration as well. I don’t know what the story may have been in HD110, but if one of my Dallas readers would like to offer a few words, I’d be interested in hearing them.

There was some evidence around the country of Trump making modest gains with Black voters, mostly Black men, in 2020. I do see a case for that here, because even as Dems had net gains in 2020 – significant gains, in some of these districts – their share of the total new turnout is smaller than you’d otherwise expect. For example, HD131 voted 80.6% to 18.5% for Biden, but only 60.8% of the extra voters in 2020 voted for Biden. HD131 had voted 84.1% to 13.3% for Hillary in 2016, meaning that Trump cut almost ten points off of his deficit from 2016. This is your reminder that a shift in vote share towards one party is not the same as a shift in total votes towards one party. We’ve had this conversation about Democrats making percentage point gains in some heavily Republican areas while still falling farther behind, and this is that same conversation from the other side.

Finally, here are the four districts represented by Asian American legislators:


Dist  12-16R  12-16D  16-20R  16-20D  12-20R  12-20D Dem net
============================================================
026   -4,573   9,082   7,327  13,556   2,754  22,638  19,884
112   -2,140   4,427   5,086  10,634   2,946  15,061  12,115
137     -848   2,147   2,435   4,099   1,587   6,246   4,659
149   -2,592   3,504   8,134   4,645   5,542   8,149   2,607

This grouping is even more tenuous than the Latino districts, mostly because there’s no such thing as a plurality Asian district. Indeed, only HDs 26 and 149, which are the two most Asian districts in the state, are in the top five; HDs 66, 28, and 67 are the next three in line. They will all be covered in the next post in this series. HD137 is mostly Latino and HD112 is mostly Anglo. Like I said, these are the decisions I made. HD26 is in Fort Bend and was won in 2020 by Republican Jacey Jetton, after years of being held by Rick Miller. It was carried by Biden in 2020 and as you can see it has moved pretty heavily Democratic, but it was still Republican enough to be held by them in an open seat race. HD112 is in Dallas and is held by Angie Chen Button, and like HD108 it was otherwise Democratic in 2020. Good luck with redistricting, that’s all I can say. The other two are in Harris County, with HD137 being held by Gene Wu since 2012. It was 63-34 for Obama in 2012 and 67-31 for Biden in 2020. The most curious case for me is HD149, which as you can see followed a pattern similar to the Latino districts in Harris County; I noted this before when I did the Harris County numbers way back when. I’m not quite sure what to make of those totals, but they don’t keep me awake at night. As with the rest, we’ll see what 2022 has in store for us.

Next time, a closer look at some counties of interest. Let me know what you think.

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