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Paxton not feeling the love in Collin County

Jun 6th, 2023
by Charles Kuffner.
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Poor baby.

A crook any way you look

When the Texas House of Representatives voted overwhelmingly to impeach Attorney General Ken Paxton in the waning days of a regular legislative session, some Texans were shocked that the 121 “yes” votes included every representative from Collin County, where voters and local leaders have long rallied behind the now-suspended official’s vocal brand of conservatism.

The booming, largely suburban county north of Dallas has been Paxton’s base of power as he climbed the state’s political ranks, from his first race for the Texas House to becoming the state’s top lawyer. And while changing demographics and some erosion in Republican voting power there have coincided with allegations and scandals that piled up for Paxton, Collin County has still swung for him election after election.

But a unanimous vote to impeach Paxton by the five Republican representatives from Collin County — Frederick Frazier of McKinney, Jeff Leach of Plano, Matt Shaheen of Plano, Justin Holland of Rockwall and Candy Noble of Lucas — exposed a statewide rift within the GOP that’s apparently also been playing out in Paxton’s backyard.

“It has been true that Paxton had the support of Collin County, but that support has been decreasing over the years, and when the crunch came, it was simply no longer there,” said Cal Jillson, a political science professor at Southern Methodist University who lives in Collin County.

A Texas attorney general has never been impeached. For years, though, a laundry list of accusations against Paxton has grown. He’s been under criminal indictment for the vast majority of his tenure in statewide office. The allegations detailed in 20 articles of impeachment accuse him of abusing the powers of his office and firing staff members who reported his alleged misconduct.

In a joint statement after the historic House impeachment vote, the Collin County legislative delegation noted Paxton’s established political credentials but also stood by their decision to impeach and suspend one of their own.

“This was an incredibly difficult vote as, for most of us, Ken has been a long time friend,” they said. “And without question, Ken has been an aggressive and effective warrior defending Texans against federal overreach. Because of that, this was a vote we wish we didn’t have to make and a vote we did not take lightly.”

[…]

The former chair of the Collin County Democratic Party, Mike Rawlins, said the county GOP has helped to insulate Ken Paxton from the fallout of his various scandals.

“The Republican leadership in [Collin] County, from the county courthouse, the judges, the commissioners, state representatives, senators and district attorney, have been a close-knit, closed little fraternity,” he said. “They tend to watch out for each other.”

Jillson, the SMU professor, said as long as Ken Paxton has majority support within the Republican primary electorate, he will continue to win elections. But Jillson noted that the suspended attorney general has struggled to keep support as questions “swirled” around his political and business dealings.

“At some point, the questions about your style, your conduct, your ethical sense, accumulate and become perhaps a drag on your Republican Party and your state,” Jillson said. “And that’s where Ken Paxton is today, with other Republicans recalculating the costs and benefits of standing with him.”

[…]

Since the 1970s, the county has voted Republican in the majority of presidential, state and local races.

But in recent years, the changing population has made Collin County a political battleground.

Since Paxton won his first election in Collin County, it’s been transformed through an influx of younger, more diverse residents, growing by more than 36% from 2000 to 2020, according to census data. The county’s Hispanic, Black and Asian populations have collectively grown from 15% in 2000 to 26% in 2020, while the white population has shrunk from 76% to 50% over the same period.

Paxton’s support has decreased in Collin County over his past three elections for attorney general. In 2014, he won with 66% of the county’s vote. In 2018, that decreased to about 53%, and in his last election in 2022, 52% of Collin County voters cast their ballots for him, according to secretary of state records.

I noted the unanimous Collin County vote against Paxton on Impeachment Day. It’s still one of my favorite things about this saga. I definitely think the change of Collin from a bright red county to a lightly reddish purple county is a big driver of this. In addition to the Paxton numbers noted above, the Presidential numbers went from 65% Romney in 2012 to 56% for Trump in 2016 to 51% for Trump in 2020. And despite the Collin County State House districts being redrawn to fortify the Republican incumbents, none of them are particularly safe:

HD61 – Trump 53.0%, Biden 45.2% — Paxton 54.2%, Garza 42.4%
HD66 – Trump 53.1%, Biden 45.2% — Paxton 55.4%, Garza 42.2%
HD67 – Trump 53.5%, Biden 44.6% — Paxton 54.9%, Garza 42.5%
HD89 – Trump 54.5%, Biden 43.5% — Paxton 55.7%, Garza 40.7%

Those are 2020 and 2022 numbers. It’s not at all crazy to think that Joe Biden could carry Collin County in a 2024 rematch, and if so, that could put any or all of those incumbents in danger. Given that, it seems like a perfectly rational decision to separate themselves from the deeply compromised Ken Paxton, for the small amount of bipartisan sheen they’ll get from doing so.

And given that, as the story briefly notes, Paxton’s years-long fight to have his state securities fraud trial in Collin County might end up being one of the great self-owns of our time. The jury pool in Collin County that he might draw 2024 or 2025 would likely be at best neutral towards him. I’m too lazy to look up when the trial was first moved to Harris County, but the Harris County of 2016-2017 was still considered purple and probably wouldn’t have been all that much more hostile to him than that. In either place, a lot more people now think he’s a crook than did years ago, when he could have had a speedy trial. There’s a lesson in there somewhere, I’m sure of it.

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.

Ken Paxton’s hatred of LGBTQ+ people continues unabated

Dec 15th, 2022
by Charles Kuffner.
3 comments

Item #1: Texas attorney general’s office sought state data on transgender Texans.

The only criminal involved

Employees at the Texas Department of Public Safety in June received a sweeping request from Republican Attorney General Ken Paxton’s office: to compile a list of individuals who had changed their gender on their Texas driver’s licenses and other department records during the past two years.

“Need total number of changes from male to female and female to male for the last 24 months, broken down by month,” the chief of the DPS driver license division emailed colleagues in the department on June 30, according to a copy of a message obtained by The Washington Post through a public records request. “We won’t need DL/ID numbers at first but may need to have them later if we are required to manually look up documents.”

After more than 16,000 such instances were identified, DPS officials determined that a manual search would be needed to determine the reason for the changes, DPS spokesperson Travis Considine told The Post in response to questions.

“A verbal request was received,” he wrote in an email. “Ultimately, our team advised the AG’s office the data requested neither exists nor could be accurately produced. Thus, no data of any kind was provided.”

Asked who in Paxton’s office had requested the records, he replied: “I cannot say.”

[…]

Public records obtained by The Post do not indicate why the attorney general’s office sought the driver’s license information. But advocates for transgender Texans say Paxton could use the data to further restrict their right to transition, calling it a chilling effort to secretly harness personal information to persecute already vulnerable people.

“This is another brick building toward targeting these individuals,” said Ian Pittman, an Austin attorney who represents Texas parents of transgender children investigated by the state. “They’ve already targeted children and parents. The next step would be targeting adults. And what better way than seeing what adults had had their sex changed on their driver’s licenses?”

[…]

The records obtained by The Post, which document communications among DPS employees, are titled “AG Request Sex Change Data” and “AG data request.” They indicate that Paxton’s office sought the records a month after the state Supreme Court ruled that Paxton and Abbott had overreached in their efforts to investigate families with transgender children for child abuse.

Paxton’s office bypassed the normal channels — DPS’ government relations and general counsel’s offices — and went straight to the driver license division staff in making the request, according to a state employee familiar with it, who said the staff was told that Paxton’s office wanted “numbers” and later would want “a list” of names, as well as “the number of people who had had a legal sex change.”

During the following two months, the employee said, the DPS staff searched its records for changes in the “sex” category of not only driver’s licenses but also state ID cards available from birth, learner’s permits issued to those age 15 and up, commercial licenses, state election certificates, and occupational licenses. The employee spoke on the condition of anonymity to avoid retaliation for describing internal state discussions.

DPS staff members compiled a list of 16,466 gender changes between June 1, 2020, and June 30, 2022, public records show. In the emails, DPS staff members repeatedly referred to the request as coming from the attorney general’s office as they discussed attempting to narrow the data to include only licenses that had been altered to reflect a court-ordered change in someone’s gender.

DPS staff members did spot checks on the data, examining records that included names of specific individuals, according to records and the state employee familiar with the inquiry. But it was hard to weed out driver’s licenses that had been changed in error, or multiple times, or for reasons other than gender changes.

“It will be very difficult to determine which records had a valid update without a manual review of all supporting documents,” an assistant manager in the DPS driver’s license division wrote in an email to colleagues on July 22.

On Aug. 4, the division chief emailed staff members, “We have expended enough effort on this attempt to provide data. After this run, have them package the data that they have with the high level explanations and close it out.” On Aug. 18, a senior manager emailed to say a data engineer had “provided the data request by the AG’s office (attached).”

Last month, The Post made a request to Paxton’s office for all records the attorney general’s office had directed other state offices to compile related to driver’s licenses in which the sex of the driver was changed, as well as related emails between Paxton’s office and other state agencies.

Officials indicated that no such records existed.

“Why would the Office of the Attorney General have gathered this information?” Assistant Attorney General June Harden wrote in an email to The Post, later adding, “Why do you believe this is the case?”

If it did, Harden said, any records were probably exempt from release because of either attorney-client privilege or confidentiality.

Marisol Bernal-Leon, a spokesperson for the attorney general’s office, later emailed that the office “has reviewed its files and has no information responsive to your request” for either records it had requested from DPS or emails between the attorney general’s office and DPS.

Separately, DPS provided The Post with a half-dozen documents spanning three months that referenced the request by Paxton’s office.

When The Post shared copies of the records that had been provided by DPS, Assistant Attorney General Lauren Downey noted that “none of the records provided by the Texas Department of Public Safety are communications with the Office of the Attorney General. Our response to your request was accurate.”

Downey did not reply to questions about why the DPS emails refer to the request as originating from the attorney general. Paxton’s office has yet to respond to another public records request for any records of its contact with DPS concerning driver’s license changes via means other than email, including phone calls, video meetings and in-person exchanges.

It’s the brazen lying about it that really kicks this up a notch. I can’t think of a good reason for a public official to need this data, or to bypass the normal channels for requesting it, but there are plenty of bad reasons for it. Because data tends to be messy, you can see how potentially thousands of people who were not Paxton’s intended targets could have been caught up in whatever malevolent scheme he cooked up for them. In a way it’s too bad this came to light before that could have happened, because the harassment of such a large number of people might have been an actual scandal that could damage him. Now it’s just another unfair MSM hit piece that Paxton’s enablers can ignore.

And in case that wasn’t enough, we also got news item #2: Texas fights federal rule that would outlaw LGBTQ discrimination in state adoptions and foster care.

Attorney General Ken Paxton is suing the federal government to preserve Texas’ ability to include religious groups that won’t place kids with same-sex couples in the state’s adoption process without losing federal funding.

With his lawsuit filed Monday in federal court in Galveston, Paxton continued a yearslong, cross-country legal fight over anti-discrimination rules for adoption and foster programs drafted under the Obama administration that languished under former President Donald Trump and have never been enforced.

The rule on Sexual Orientation and Gender Identity Discrimination, known as the SOGI rule, prohibits recipients of federal funds for adoption and foster programs from discriminating on the basis of age, disability, sex, race, color, national origin, religion, gender identity, sexual orientation or same-sex marriage status.

A Texas law passed in 2017 allows religious organizations that contract with the state to refuse to work with LGBTQ couples who are seeking to foster or adopt. The law requires the state to ensure there are other providers to work with LBGTQ children or families who are refused help by a religious provider, although there is no specific process for ensuring that happens.

Losing federal funding would be a major blow for Texas’ foster care budget. Federal money accounts for nearly a quarter of the $550 million the state spends on residential care each year, and another $58 million supports case work for foster children who qualify for the funds, according to the attorney general’s complaint.

[…]

The anti-discrimination rule has been the subject of court battles. In 2019, Texas joined the Archdiocese of Galveston-Houston to sue the federal government over the rule, arguing it would prevent the religious group from becoming a provider of child welfare services. Shortly after the suit was filed, the Trump administration announced a rollback of the rule.

But Paxton is now seeking to have the rule thrown out preemptively as other groups are suing to compel its enforcement.

[…]

Bryan Mares, the government relations director at the National Association of Social Workers Texas, said the state law allowing religious providers to refuse services to LGBTQ couples creates a supply issue for the LGBTQ children in the foster system who need affirming homes.

“It makes it much more difficult to find families who might already identify as part of the LGBTQ community to bring children that are in the system into their home,” Mares said of the law. “It really just impedes our ability to prioritize LGBTQ youth placements into homes where they are being supported in a way that they need.”

A 2018 analysis of Texas licensed child-placing agencies by the Center for American Progress found that nearly half of them had statements of faith listed on their websites, but only 10% had expressed specific willingness to work with LGBTQ foster and adoptive parents. “Given this landscape, and the religious exemptions and lack of legal protections … prospective parents may understandably become discouraged about finding a welcoming agency and choose to abandon their efforts,” the report concluded.

Pretty sure that’s the intent. I’ve run out of accurate descriptors for Paxton and his shameless hate. At this point, I don’t know what can be done to stop him. He certainly acts as though there is nothing in his way and no possible consequences for anything he does.

Christopher Busby: The Case for Texas Democratic Optimism

Nov 17th, 2022
by Charles Kuffner.
4 comments

(Note: The following is a guest post that was submitted to me. I occasionally solicit guest posts, and also occasionally accept them from people I trust.)

The election came and went with a similar story. Texas Democrats just started to get their hopes up about the idea of finally breaking through for their first statewide win since their fall from voters’ graces in the early 90s. Then falling flat yet again in their efforts. 30 years in the wilderness can do a lot to sting the hopes of Democrats parched for any sign of success. In 2014 Wendy Davis sent shock waves among Texas Democrats in her voracious defense of abortion rights yet lost by 20 points. In 2018 Beto O’Rouke came within a three point margin of knocking off the firebrand Junior Senator from Texas Ted Cruz. In 2020 President Joe Biden lost by just 6 pts, the best Democratic Presidential performance since 1996.

Yet despite all the clear movement in Democrats favor, incumbent Republican Governor Greg Abbott decisively defeated Beto O’Rouke to win by approximately 11 points. My guess is that across the state Texas Democrats feel much like Charlie Brown lying on his back on the football field. Fool me once. Shame on you. Fool me for three decades?

The message I want Texas Democrats to take away from this however is counter intuitive. My message is: Y’all are still headed in the right direction.

Before you think I’m just Lucy with her football again, hear me out.

In political statistics it is often most useful to compare the final performance of a candidate’s party relative to the national environment. In 2000 then Texas Governor George Bush lost the national popular vote in his race for president yet won Texas by 21 points in the same year. In parlance of political statistics that would make Texas an R+21 state. 8 years later when President Obama was carrying the country by 8 points he lost Texas by 12 points, meaning that despite a facially 8 point improvement, Texas was still R+20 compared to the nation as a whole. Little relative movement.

Taking this in mind we shouldn’t be too surprised by political consultants who got excited about Hillary Clinton’s Texas performance where she lost the state by only 9 points despite winning the popular vote by 2 points. Suddenly Texas moves from an R+20 state to an R+11 state. Suddenly Texas moves from a pipe dream to just… a dream.

In the years after Clintons narrow loss Texas Democrats have started taking themselves seriously again. What have the numbers since then told us? Looking at the presidential race President Biden lost the state by 6 points while winning nationally by 4 points. Now R+10 Texas inches ever closer to being competitive. BUT we just got done with a midterm year. Midterm numbers are where data nerds’ minds will pour over for the next few months.

2018 was the Texas Democrats banner year. Beto O’Rouke was cast as a political rockstar for almost upsetting Texas Senator Ted Cruz. His 3 point loss during a year when Democrats were winning by 8 points was very much in line with the R+11 numbers that Clinton and Biden would achieve in the elections before and after. Yet let’s look at Governor Greg Abbott who also was on that same ballot. He defeated Dallas Sheriff Lupe Valdez by approximately 13 points, an R+21 performance. Many will want to argue that Beto’s performance at the top of the ticket was indicative of Democratic performance that year however looking at the data it’s clear that most statewide officials fell closer to Abbott’s performance. Abbott was one of the top performing officials on the ticket year of either party.

2022 tells a story for state Democrats that they should take some optimism in. Taking the 2018 top performer from each party would seem like a recipe for a competitive race. Easy math would have expected an Abbott victory of 6-8 points if the year was the same. However the midterm years were very different. Numbers are still slowly trickling in so the data here will be less precise than the historical numbers, yet the initial measure of national vote seems like it will likely land somewhere between an R+1-2 year, much different from the D+8 year of the previous midterm. Moving almost 10 points redder Abbott lost 2 points off his victory margin and his performance fell from a solid R+21 to an R+9-10. The message should be clear: When Texas Democrats put up strong candidates with a real performance they can draw down the Republican ceiling more than Republicans can push Democrats to their floor.

Let’s take a more detailed look at the national picture. Governors across the country went up for re-election. Republicans had been hoping to score a host of upsets in swing states. Instead Democrats held on and in fact gained 3 governor’s mansions in open races. The story however was different for Republican incumbents. In every single state where a Republican governor ran for re-election they gained more support as compared to 2018. Except one: Texas. I’ll say it again for effect Texas was the ONLY governor’s race in the nation where the Republican incumbent lost support in re-election compared to 2018. In fact only Nevada and Georgia had governors races where the winning Republican candidate did worse than Greg Abbott and both those states were states which President Biden won in 2020. And looking briefly at President Biden’s performance you would see that of all states won by former President Trump, the only state to vote to the left of Texas was Florida. Florida, for the record, completely fell off the map for Democrats this year with Senator Marco Rubio winning by 17 points and Governor Ron DeSantis winning by 19 points.

So if I haven’t lost you in all the numbers, what does this mean for Texas Democrats in 2024? It means that Texas may be on the precipice of a major shift. Or may not. It depends on whether national Democrats want to fight for it or not. Ted Cruz is no Greg Abbott. While partisan Democrats might find equal distaste in the two I think you would be hard pressed to find the same polarization around Governor Abbott that you do Senator Cruz. Ted Cruz simply falls flat with the same independent voters who have proved crucial Republicans past successes. On a ticket with the equally, if not more, polarizing former President Trump Texas Democrats have a real opportunity. If Texas Democrats put up a real candidate who can draw investment and has a proven track record of campaigning they might just create an opening. Most importantly President Biden’s campaign team needs to take a hard look at the hundreds of millions dumped in Florida cycle after cycle even as it drifts more and more red. 2022 saw Texas and Florida cross each other’s paths in terms of state partisanship. Texas sits to the left of every major red state at this point and only the population sparse Alaska might argue an opportunity for an easier flip. If national Democrats are looking to expand the map beyond the states won by President Biden in 2020 they have their best opportunity in the lone star state.

Christopher Busby is a lifelong Houstonian and independent political campaign consultant and policy advisor. He is a currently pursing a medical doctorate, is former K-12 educator, and has worked extensively on local campaigns. All views and opinions expressed are his own and not representative of any affiliated entities.

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.

Beto and South Texas

Dec 3rd, 2021
by Charles Kuffner.
6 comments

Brace yourself for a lot of stories like this in the coming months.

Beto O’Rourke

In the first days of his campaign for governor, Beto O’Rourke made a beeline to this southernmost corner of the state, saying it was no mistake he was choosing to start his run in a part of Texas where Democrats have their work cut out for them after the 2020 election.

His supporters know it, too.

“We are being attacked at all ends,” Amanda Elise Salas said as she introduced him here Wednesday night. “This is a Democratic area, and there is no way we are gonna let Republicans come in here and take over.”

“They’re knocking at our door,” Mario Saenz, a Democratic precinct chair from Brownsville, said afterward. “We cannot let them in.”

A lot of Democratic hopes are riding on O’Rourke this election cycle, but few may be more consequential to the party’s future in Texas than his ability to stave off a strong GOP offensive in South Texas. Emboldened by President Joe Biden’s underwhelming performance throughout the predominantly Hispanic region last year, Republicans have been pushing hard to make new inroads there, and O’Rourke faces an incumbent in Gov. Greg Abbott who has been working for years to win Hispanic voters.

But it is not just about halting the GOP’s post-2020 march in South Texas. O’Rourke, who is facing an uphill battle in the governor’s race, has ground to make up after his own less-than-stellar performance with voters there in 2018 when he ran for U.S. Senate — and turning out more Latino voters has long been key to Democratic hopes statewide.

O’Rourke has been candid about the problem. Days after the 2020 election, which cemented Republican dominance across Texas, he told supporters that the fact that the border region “has been ignored for years by the national party, and even many statewide Democratic candidates, hurt us badly.” Last week, he began his campaign for governor with a swing through the region, calling the early itinerary “very intentional” and vowing to return frequently.

“If the great sin committed by Republicans historically has been to disenfranchise voters, including those in the Rio Grande Valley, then that committed by Democrats has been to take those same voters for granted in the past,” O’Rourke told reporters in San Antonio, before heading south to Laredo and the Valley.

O’Rourke got a wake-up call in South Texas during the 2018 Democratic primary for U.S. Senate, losing many counties in the region to a little-known and little-funded opponent, Sema Hernandez. While it was not the first time a candidate with a Hispanic surname beat expectations in a statewide Democratic primary, O’Rourke acknowledged afterward that he needed to do more outreach.

Months later, in the general election, O’Rourke failed to make significant gains in South Texas compared to his party’s 2016 presidential nominee, Hillary Clinton, which would have been key to defeating U.S. Sen. Ted Cruz. In the largest South Texas county outside San Antonio — Hidalgo — O’Rourke barely improved on Clinton’s vote share there, getting 68.8% after she got 68.5%.

Then came 2020, when Biden carried South Texas — and the Rio Grande Valley in particular — by a much narrower margin than Clinton did. He outright lost Zapata County, a longtime Democratic stronghold just north of the Valley.

[…]

Beyond any issue, though, South Texas Democrats say O’Rourke needs to show up, especially after a presidential election that left them wanting. Biden never visited Texas, let alone anywhere in South Texas, during the general election, and his running mate, Kamala Harris, visited McAllen only in the final days of the race.

To that end, South Texas Democrats are not particularly concerned about O’Rourke, who is known for his relentless campaigning. He toured all 254 counties during his 2018 race, which included a bus tour specifically focused on the border.

“We’re the poorest region of Texas, maybe one of the poorest regions in the nation, and you know, it was a huge letdown that Kamala and Biden didn’t make a prolonged appearance here in the Valley, but Beto, you know, he’s been recurringly focusing his presence here, especially in his past campaigns,” said Sebastian Bonilla, a 25-year-old from the Valley who came to see O’Rourke speak in McAllen.

Abbott has put an emphasis on South Texas since his first gubernatorial campaign in 2014, and he has been increasingly traveling there in recent months, both in his official capacity and for political appearances.

You get the idea. This kind of story is going to be the “Trump voters in diners” lodestar of 2022.

Because I tend to zero in on any actual numbers that show up in this kind of “collect a bunch of quotes and anecdotes” piece, I wondered about that Hidalgo County comparison. Just for grins, I went back and checked to see what was the best Democratic performance in Hidalgo in recent years:

2004 – JR Molina, 64.08%. For comparison, John Kerry got 54.86% against George W. Bush.

2006 – Bill Moody, 62.54%.

2008 – Linda Yanez, 73.63%.

2010 – Hector Uribe, 67.14%. That sure correlated with good Democratic performance elsewhere, eh?

2012 – Michelle Petty, 70.69%. Barack Obama got 70.40%, an improvement over the 69.02% he got in 2008.

2014 – Leticia van de Putte, 67.57%.

2016 – Dori Garza, 70.98%. Hillary Clinton got 68.50%, as noted in the story.

2018 – Steve Kirkland, 69.34%, with Beto’s 68.81% right behind. Kirkland was in a two-candidate race, while Beto and Ted Cruz also had a Libertarian in their race. Cruz’s 30.64% was actually a tiny bit behind Jimmy Blacklock’s 30.66%, though several other Republicans failed to get to 30% in their three-way races.

Latino Dems, and candidates for statewide judicial positions, were generally the high scorers. Looking at the numbers, I agree with the basic premise that Beto could have done better in South Texas than he did in 2018, and he will need to do better than Joe Biden did in 2020. The new SOS elections result website is trash and doesn’t give you a county-by-county view like it did before, so I went and found the Hidalgo County Elections page, which informed me that Biden got 58.04% in 2020, with Elizabeth Frizell being the high scorer at 61.51%; yes, another judicial candidate.

One could also point out, of course, that Biden came closer to winning Texas than Clinton did, despite doing worse in South Texas. Beto himself came as close as he did mostly by making huge gains in urban and suburban counties – to pick one example, he got 46.53% in Collin County, losing it by 22K votes, after Clinton got 38.91% and lost if by 61K votes. Beto did net 12K fewer votes in Hidalgo than Clinton did (Biden netted 32K fewer than Clinton), and he lost another 10K in Cameron County – that does add up in such a close race, though it wouldn’t have been enough to fully close the gap he still had. Ideally, he’d do better in South Texas and in the big urban and suburban counties. At least we all feel confident he’ll do the work.

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

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

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

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

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.

The DACA ruling

Jul 18th, 2021
by Charles Kuffner.
1 comment

Ugh.

Best mugshot ever

A federal judge in Texas ruled Friday that Deferred Action for Childhood Arrivals, a program that allows certain immigrants to temporarily avoid deportation and receive renewable work permits, is illegal and ordered the Biden administration to stop granting new applications.

Judge Andrew Hanen’s order won’t affect current DACA recipients who have the two-year renewable work permits.

“[T]hese rulings do not resolve the issue of the hundreds of thousands of DACA recipients and others who have relied upon this program for almost a decade,” Hanen’s order says. “That reliance has not diminished and may, in fact, have increased over time.”

The ruling stems from a 2018 lawsuit filed by Texas Attorney General Ken Paxton and eight other states against the federal argument. The complaint argues that Texas and the other states face irreparable harm because they bear extra costs from providing health care, education and law enforcement protection to DACA recipients.

Across the country there are more than 600,000 DACA recipients, including 101,970 in Texas, which has the second most DACA recipients in the country after California, according to U.S. Citizenship and Immigration Services.

In 2012, the Obama administration created the program to allow immigrants who were brought to the country illegally to be able to temporarily avoid deportation, work legally and pay taxes.

Hanen said the Obama administration did not use the right legal procedure to create the program, making it illegal.

The program has survived previous court rulings. But the Trump administration had put an end to the program before a U.S. Supreme Court ruling a year ago allowed the federal government to continue it.

The latest ruling will prevent the approval of at least 50,000 new DACA applicants nationwide who applied earlier this year but were not approved before Friday’s ruling, based on USCIS statistics.

There’s a lot of backstory to this, as the original threat of litigation came in 2017. See here, here, here, here, here, here, and here for previous blogging.

What we know at this point: The ruling will be appealed, and I think there’s a decent chance that it is put on hold pending appeals. It will still have a negative effect on a lot of people, many of whom have been in a state of limbo already for a decade or more. There’s a good argument that Judge Hanen’s ruling is erroneous, and thus could be overturned. But really, this is now a super duper way-past-due emergency for the Democrats to fix legislatively while they can. The filibuster is the reason the DREAM Act of 2010 (which had I believe 55 votes in favor) didn’t pass – it’s a bit misleading even to say it had “55 votes in favor”, because that was 55 votes to suspend debate and allow for a vote; it never actually got an up-or-down vote on the Senate floor – and we cannot let it be the reason it fails again. There’s talk of including a new DREAM Act in the infrastructure bill that will be passed by reconciliation. It’s ludicrous that we have to resort to such legerdemain to pass a bill that has majority support, but ultimately I don’t care as long as the damn thing passes.

And finally, another thing we have known for a long time is that Ken Paxton has gotta go. Electing Justin Nelson in 2018 would not have stopped this lawsuit – it had already been heard by Election Day that year, and as noted there were eight other states as plaintiffs – but that’s beside the point. Dumping Ken Paxton’s felonious ass will go a long way towards preventing other bad things from happening. In the short term, though: The DREAM Act has got to pass. No excuses, no other way out. Stace has more.

Precinct analysis: State House district changes by county

Jul 6th, 2021
by Charles Kuffner.
3 comments

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

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.

UT/Trib poll: Abbott has the best of a bunch of weak approval numbers

Jun 30th, 2021
by Charles Kuffner.
2 comments

Same story, new chapter,

Texas voters are split over whether they approve of Gov. Greg Abbott’s job performance, though he remains popular with Republicans and more popular among Texans than President Joe Biden, according to the latest University of Texas/Texas Tribune Poll.

The June 2021 poll shows that 44% of Texans approve of Abbott’s job as governor, while 44% disapprove. That leaves him with an overall approval rating from Texas voters that’s better than those of Biden, U.S. Sens. Ted Cruz and John Cornyn, Lt. Gov. Dan Patrick, Attorney General Ken Paxton and House Speaker Dade Phelan. Abbott enjoys the approval of 77% of his own party’s voters, with 43% of Republicans saying they “strongly approve” of his performance.

Democratic disapproval for Abbott remains potent. Eighty-two percent of Democrats disapprove of Abbott, with 75% of those Democrats saying they “strongly disapprove” of his performance.

“What we’re seeing now is that Democrats are registering as much disapproval with him as they are with really any kind of national Republican figure,” said Joshua Blank, research director of the Texas Politics Project.

Abbott earned higher marks among Texas voters regarding his COVID-19 response at the start of the pandemic, Blank pointed out. In April 2020, 56% of Texans approved of Abbott’s response to the pandemic, but that slipped to 44% in the latest June poll.

“One of the things that benefited Greg Abbott was Donald Trump,” Blank said. “So Donald Trump’s inability to appear to be seriously dealing with the pandemic made Abbott’s attempts early on — even if they were criticized — much much more serious-looking, both to Republicans and Democrats, and I think that’s why his numbers were so high.”

As the pandemic drew on, Democratic disapproval of Abbott increased steadily. In the last poll, 81% of Democrats disapproved of Abbott’s COVID-19 response, with 67% saying they strongly disagree. Meanwhile, 74% of Republicans approve and 45% strongly approve.

[…]

Biden’s ratings have remained steady among both Democrats and Republicans since the February UT/TT Poll. His overall job approval with Texan voters is at 43% who approve and 47% who disapprove. When filtered by partisanship, 88% of Democrats approve of the job he’s doing, including 53% who strongly approve. As for Republicans, 84% disapprove of the job he’s doing with 77% strongly disapproving.

Texans see Biden’s COVID-19 response as a strength, while border security remains a weak point.

Overall, 49% of Texas voters approved of the president’s COVID-19 response, while 36% disapprove. Of those, 91% of Democrats approve, while 64% of Republicans disapprove.

See here for the February UT/Trib poll, which had Biden at 45 approve, 44 disapprove. There was also a May end-of-session poll that had him at 44/46. While it is true (and we have discussed before) that Abbott’s approval numbers had been bolstered in the past to some extent by him not being completely despised by Democrats, that moment has passed. It’s hard to compare his numbers to almost anyone else in the state because the “don’t know” response for them is so much higher – Ken Paxton has 32/36 approval, for instance, and for Dan Patrick it’s 36/37. My tentative conclusion is that there will likely be less of a gap between Abbott’s numbers next November and those of Patrick and Paxton (if he’s on the ballot), but that’s not set in stone. Who the Dems get to pick matters, too.

In reading this story, I got curious about how Biden was comparing to President Obama in Texas. I have mentioned that a decent approval rating for Biden next year would help Democrats on the ballot, and while it’s still early and the overall political environment is different, I thought it might be useful to have a bit of context. So I poked around in the UT Politics polling archive, and this is what I came up with:

June 2009 – 43 approve, 46 disapprove

October 2009 – 41 approve, 52 disapprove

February 2010 – 41 approve, 50 disapprove

May 2010 – 35 approve, 58 disapprove

September 2010 – 34 approve, 58 disapprove

May 2012 – 36 approve, 54 disapprove

February 2013 – 39 approve, 53 disapprove

June 2013 – 43 approve, 50 disapprove

October 2013 – 37 approve, 54 disapprove

February 2014 – 34 approve, 55 disapprove

June 2014 – 37 approve, 56 disapprove

October 2014 – 36 approve, 57 disapprove

Obama was pretty much in the same place at this point in 2009, and boy howdy did it go south from there. I’m pretty sure his overall approval numbers were better than Biden’s are now – again, the overall climate is much different – but the infamous Rick Santelli “tea party” rant had already occurred, and we know what happened next. Note that other than an outlier in June of 2013, the numbers were pretty stable and generally lousy through the first two years of each term. I included the May 2012 numbers because I came across them in my own post, but as you can see they still fit the pattern.

Obviously, if Biden is sporting similar approval numbers next year, we’re almost certainly doomed. I don’t think that will happen, but I don’t have anything solid to go on for that, so all we can do is watch and see. At least we have something to compare Biden to now.

Precinct analysis: State House district changes by demography

Jun 28th, 2021
by Charles Kuffner.
2 comments

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

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.

Precinct analysis: The median districts

Jun 14th, 2021
by Charles Kuffner.
2 comments

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

This is a straightforward post, with a simple answer to an important question. We know that Joe Biden carried 74 State House districts and 15 State Senate districts. How much better did he need to do to get a majority in each chamber? Daily Kos calls this the “median district”. In this context, that means the data for the 76th-most Democratic House district, and the 16th-most Democratic Senate district. The idea is to see how far off the Dems were from being able to win those districts and thus claim a majority in each chamber.

We’ll start with the State House. The table below gives the data for the median district in each of the last three Presidential elections for the Presidential race, the Senate race (2012 and 2020 only), and the Railroad Commissioner race:


Year    Dist      Dem      GOP   Tot D
======================================
2012   HD138   39.29%   59.16%      54
2016    HD54   43.58%   50.50%      65
2020    HD54   48.85%   48.98%      74
				
2012    HD97   38.35%   58.88%      54
2020    HD92   46.04%   51.12%      68

2012    HD97   36.16%   59.58%      54
2016    HD66   37.77%   54.46%      56
2020    HD31   46.52%   50.55%      68

In 2012, the 76th-most Democratic district was HD138, in which Barack Obama received 39.29% of the vote to Mitt Romney’s 59.16%. This is a polite way of saying that the 2011 gerrymander was super effective, and the Democrats weren’t within hailing distance of winning half the chamber. The last column shows the total number of districts carried by the Democratic Presidential candidate. In 2012, this closely mirrored the total number of seats that the Dems actually won, which was 55. One Democratic-held seat was carried by Romney – HD23, the Galveston-based district won that year (and for the final time, as he declined to run again) by Craig Eiland. As you may recall from previous analyses, that district has trended away from the Dems ever since – in 2016, it was won 56-41 by Trump, and in 2020 it was 57-41 for Trump. Obama carried zero Republican-won seats – the closest he came was a 52-47 loss in HD43, another district that has moved farther away from Dems over the decade. He came within six points in three Dallas districts that Democrats now hold – HDs 113, 107, and 105. Like I said, an extremely effective gerrymander. Also a consistent one, as Paul Sadler and Dale Henry won the same districts Obama did, no more and no less.

Until it wasn’t, of course. The cracks began to show in 2016, when Hillary Clinton carried 65 districts, though Dems still only won 55 of them overall. HD23 fell to the Republicans in 2014, but Dems earned their first flip of the decade (*) by taking HD107, which as noted above was one of the closer misses in 2012. The nine GOP-won districts that Hillary Clinton carried were HDs 113, 105, 115, 102, 112, 114, 138, 134, and 108. Seven of those are now Democratic districts, with six flipping in 2018 and one (HD134) flipping in 2020.

Note how Clinton ran ahead of other Dems as well. Perennial candidate Grady Yarbrough picked up only HD105, and that by a 45.9 to 44.6 margin (there was a lot of third-party voting in that extremely unappealing race), and it was the same at the judicial level. You may recall this is why I was more guarded in my optimism about 2018 initially – I had some doubts about what the Clinton/GOP voters would do their next time out.

We know how that turned out, and we know how Biden did, as well as how MJ Hegar and Chrysta Castaneda did in 2020. Look at how the median district shifted over time. In 2012, the 76th district was more Republican than the Presidential race was, at each level. In 2016, the median district looked a lot like the Presidential race, and to be honest a lot like the RRC race as well; Wayne Christian defeated Grady Yarbrough 53.1 to 38.4, a bit closer than the median but not far off. In 2020, at all levels, the median district was closer than the statewide race was. Republicans outperformed their baseline in the House, and they needed to because by this point their vaunted gerrymander had completely failed them. I have to think this is something they’re giving serious thought to for this time around.

Here’s the same data for the State Senate districts:


Year    Dist      Dem      GOP   Tot D
======================================
2012    SD08   36.60%   61.67%      11
2016    SD09   41.75%   53.09%      12
2020    SD09   48.30%   50.00%      15

2012    SD08   35.94%   61.05%      11
2020    SD09   45.40%   51.70%      13

2012    SD08   33.34%   62.19%      11
2016    SD08   36.19%   55.94%      11
2020    SD09   44.60%   51.60%      13

It’s a similar pattern as above. In 2012, Mitt Romney carried SD10, which Wendy Davis won in a hard-fought race. In 2016, Hillary Clinton carried SD16 by a 49.9 to 45.3 margin, and just missed in SD10, losing it 47.9 to 47.3; she also came within a point of SD17. The median district was a little friendlier to the GOP in 2016, but in 2020 as with the House it was closer than the corresponding statewide race. Again, the once-solid gerrymander buckled at the knees, aided in large part by the suburban shift. Dems also managed to hold onto all of the red-shifting Latino districts, while Biden dropped two of them in the House.

What does any of this mean going forward? I have no idea. I’m seeing map proposals for Congress that are pretty brutal, but who knows what we’ll get in 2022, and who knows how population growth and the shifts in suburban and (mostly rural) Latino areas will affect things. Texas is a more challenging state than the likes of Wisconsin or Michigan to control over an entire decade precisely because it changes so much in that time. Republicans will have some opportunities for gain in 2022, but they also have a lot of vulnerabilities, and their best defense may be to just try to shore up everything they now have. The choices they make, based to some degree on their level of risk tolerance, will be fascinating to see.

Precinct analysis: State Senate district comparisons

May 24th, 2021
by Charles Kuffner.
6 comments

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

Let me start with some Twitter:

There’s more to the thread, but those are the bits I wanted to highlight. It’s true, as noted in the previous post, that Dems lost some ground in the Latino districts in 2020. You’ll see that here in a minute. But it’s also very much true that they gained a lot of votes elsewhere, in the more white districts. Some of those are the ones that flipped in 2018 or might have flipped in 2020 had they been on the ballot. Some were in places where Dems were already strong. Some were in districts that actually look to be competitive now, having not been so even four years ago. Why don’t I just show you the data?


Dist   1216R   1216D    1620R   1620D   1220R     1220D	Dem net
===============================================================
14    -9,951  56,887   26,677  97,954   16,726  154,841  138,115
08    -7,593  38,270   32,030  82,158   24,437  120,428   95,991
16   -22,137  35,202   21,611  58,302     -526   93,504   94,030
17   -19,619  38,114   34,892  56,566   15,273   94,680   79,407
25     3,422  37,037   65,613  95,402   69,035  132,439   63,404
07    -6,676  33,604   42,494  60,489   35,818   94,093   58,275
15    -6,708  27,545   28,163  48,882   21,455   76,427   54,972
10    -8,347  13,076   23,099  54,113   14,752   67,189   52,437
26    -2,174  20,179   20,009  44,154   17,835   64,333   46,498
09       -60  17,910   24,193  48,973   24,133   66,883   42,750
12    13,859  30,860   59,095  84,527   72,954  115,387   42,433
23    -3,003   3,751   13,010  43,679   10,007   47,430   37,423
29    -1,674  34,889   29,559  30,398   27,885   65,287   37,402
05    14,069  25,990   54,548  74,087   68,617  100,077   31,460
11     1,957  20,541   46,098  46,384   48,055   66,925   18,870
06    -4,554  20,223   21,712  13,637   17,158   33,860   16,702
13    -2,928      72   16,907  30,419   13,979   30,491   16,512
19    10,638  16,958   45,127  42,821   55,765   59,779    4,014
02    11,532  10,026   35,894  38,391   47,426   48,417      991

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. Clear? I hope so.

These are the districts where Dems gained over the course of these three elections. Lots of Republican turf in there, including the two D flips from 2018 and the two districts that both Biden and Beto carried but didn’t flip in 2018 (SDs 08 and 17), but the big gainer is that Democratic stronghold of SD14, where demography plus population growth plus a heavy duty turnout game led to a vast gain. Really, we Dems don’t appreciate Travis County enough. SD15, my district, has a nice showing as well, while SD26 is there to remind us that not all Latino districts went the way of the Valley.

We have the two 2018 flip districts, SDs 16, now practically a D powerhouse, and 10, which didn’t shift quite as much but was the most Dem-leaning Romney district from 2012 – you may recall, Wendy Davis won re-election there despite it going only 45% for Obama – and we have the two Biden-won Republican in 08 – who knew this one would shift so radically left – and 17. We’ve discussed SD07 before, and how it’s now teetering on swing status and won’t be of much use to the Republicans when they try to shore themselves up, but look at SD25, a district that has moved strongly left despite encompassing Comal County, the I-35 version of Montgomery. Look at the shifts in SD12, which is still not competitive but also not as big a GOP stronghold, and SD05, which has moved along with Williamson County. The key takeaway here is that more of the Senate is going to have to be centered on the Houston-San Antonio-D/FW triangle, and that part of the state is much more Democratic than it was a decade ago. This is the big problem Republicans have to solve.

Dems have some room to improve as well. I discussed SD13 in the Harris County reviews, and I believe there’s untapped potential in this district. It’s 80% Democratic to begin with, so improvements in turnout and voter registration are going to pay off in a big way. SD23 was more like 13 in 2016, but acquitted itself nicely in 2020. I suspect there are a lot of voters here who will need more contact and engagement in 2022. I know there were votes left on the table in 2018, and we need to be conscious of that.

Finally, there are three other Latino districts besides SD26 in this list. We’ve discussed SD06 before, which had a big uptick in Democrats while seeing fewer Republicans in 2016, then saw more Republicans turn out in 2020. In the end, the Dem percentage was basically the same in 2020 as in 2012, with a larger net margin, but the trend needs watching. SD19, which Dems took back in 2020 after that embarrassing special election loss, had a similar pattern as with SD06 except with a smaller net Republican gain in 2020. This district has a lot of border turf, which trended red in 2020, but it also has a good chunk of Bexar County, which got bluer and likely mitigated the overall shift. I feel like this district is more likely to drift in a Republican direction than SD06 is, but that will depend to some extent on how it’s redrawn. SD29, anchored in El Paso, had the same big Dem shift in 2016, then saw roughly equivalent gains by both parties in 2020. I think it’s more likely to get bluer over time, and there’s always room for Dem growth in El Paso, though as with SDs 13 and 23, it will require engagement.

Overall, these 19 districts represent a net gain of over 900K votes for Dems. Joe Biden collected about 600K more votes than 2012 Obama did, so there’s votes going the other way as well. Here are those districts:


Dist   1216R   1216D    1620R   1620D   1220R     1220D	Dem net
===============================================================
18    15,109  19,337   58,614  49,787   73,723   69,124  -4,599
04    10,564  14,667   54,680  39,023   65,244   53,690 -11,554
24    11,125   7,102   51,143  42,472   62,268   49,574 -12,694
21     9,828  13,573   43,738  26,297   53,566   39,870 -13,696
20     7,675  17,839   42,214  18,130   49,889   35,969 -13,920
22    17,969   6,092   48,183  37,910   66,152   44,002 -22,150
27     7,486  15,779   37,504   6,942   44,990   22,721 -22,269
28     6,727  -2,691   33,163  17,453   39,890   14,762 -25,128
31     6,956   3,954   36,050  10,696   43,006   14,650 -28,356
01    11,123  -6,966   34,452  17,623   45,575   10,657 -34,918
30    30,275   7,133   75,839  47,839  106,114   54,972 -51,142
03    20,610  -6,936   48,423  14,385   69,033    7,449 -61,584

Here’s the current Senate map, to remind you of where these districts are. SDs 22 and 24 have the most turf inside the big population triangle, while SD04 has most of its people there. SD22 currently includes Johnson and Ellis Counties, and it’s not too hard to imagine them beginning to trend blue over the next decade, while SD24 includes Bell and Coryell, which also have that potential.

I’m actually a little surprised to see that SDs 04 and 18 got a little bluer in 2016, before snapping back in 2020. I’ll have to take a closer look at them, on a county by county basis, to see what the big factors were. Fort Bend is going our way, and I have hope that we can make progress in Montgomery, and that’s going to be a big key to this decade.

The big Republican gainers, as noted in the last post, are mostly in East Texas and West Texas/the Panhandle, with SD03 including the north part of Montgomery. The main question will be how much of these districts will have to include the faster-growing parts of the state. That’s a calculation that won’t be very friendly to the incumbents, one way or another.

Finally, there are the three Latino districts, SDs 20, 21, and 27. All three followed the same pattern of a Dem gain in 2016 followed by a bigger Republican gain in 2020. SD27 remained solidly Democratic, while 20 and 21 are much closer to swing status though as noted in the previous post the incumbents all ran comfortably ahead of the pack. Republicans could certainly try to make a district more amenable to them out of this part of the state. How that would affect their other priorities, and how much of what we saw in 2020 continues past that year are the big questions. All other Dems carried these three districts as well, more or less at the same level as Biden. The good news for the Republicans then is that the new voters that Trump brought in were there for more than just him.

As you can see, there are fewer districts in which Dems lost ground, and the total number of votes they ceded is about a third of what they picked up elsewhere. You can see how G. Elliott Morris’ tweet thread applies here. As was the case with the State House and Congress, the Republican gerrymander of the State Senate in 2011 was very effective, until it wasn’t. It’s the same story here as it is for the other chambers, which is how do they assess the risk of a strategy that aims to gain them seats versus one that just aims to hold on to what they’ve got.

Next up will be a look at the State House district results from 2020. When the 2020 data for Congress and the SBOE finally show up, I’ll do the same for them as well. Let me know what you think.

DCCC starts with two targets in Texas

Apr 11th, 2021
by Charles Kuffner.
27 comments

Consider this to be written in chalk on the pavement, pending the new Congressional maps.

Rep. Beth Van Duyne

The Democratic Congressional Campaign Committee announced Tuesday that it will target two Republican-held districts in Texas — the ones currently held by Reps. Tony Gonzales of San Antonio and Beth Van Duyne of Irving. They were one of 22 districts nationwide that the committee included on its 2022 target list, which it emphasized as preliminary due to redistricting.

Last election cycle, the DCCC sought to make Texas the centerpiece of its strategy to grow its House majority — and came up woefully short. They initially targeted six seats here and later expanded the list to 10 — and picked up none of them.

Van Duyne’s and Gonzales’ races ended up being the closest. Van Duyne won by 1 percentage point to replace retiring Rep. Kenny Marchant, R-Coppell, while Gonzales notched a 4-point margin to succeed Rep. Will Hurd, R-Helotes, who was also retiring.

The shape of those races remains very much in question more than a year and a half out from Election Day, most notably because Texas lawmakers are expected to redraw congressional district lines in a special session of the state Legislature later this year. Texas is on track to gain multiple congressional seats due to population growth. Republicans control the redistricting process and may be be able to make Gonzales’ and Van Duyne’s seats more secure.

On paper, Van Duyne’s 24th District looks to be the most competitive in 2022. It was the only GOP-held district in Texas that Democratic President Joe Biden won — and he carried it by a healthy margin of 5 points. The DCCC has already run TV ads against Van Duyne this year.

Biden, meanwhile, lost Gonzales’ 23rd District by 2 points. The 23rd District is a perennial swing seat that stretches from San Antonio to near El Paso and includes a large portion of the Texas-Mexico border.

As noted, the Republicans have their target list as well, which will also be affected by whatever the final maps look like as well as any retirements. CD24 is an obvious target, but if the map were to remain exactly as it is now I’d have several CDs higher on my list than CD23 at this point based on 2020 results and demographic direction. I’d make CDs 03, 21, 22, and 31 my top targets, with CDs 02, 06 (modulo the special election), and 10 a rung below. I’d put CD23 in with that second group, but with less conviction because I don’t like the trend lines. Again, this is all playing with Monopoly money until we get new maps.

Just to state my priors up front: I believe there will be electoral opportunities in Texas for Congressional candidates, though they will almost certainly evolve over the course of the decade. I believe that if the economy and President Biden’s approval ratings are solid, the 2022 midterms could be decent to good, and that we are in a different moment than we were in back in 2009-10. I also know fully well that the 2022 election is a long way off and there are many things that can affect the national atmosphere, many of them not great for the incumbent party. I was full of dumb optimism at this time in 2009, that’s for sure. I also had extremely modest expectations for 2018 at this point in that election cycle, too. Nobody knows nothing right now, is what I’m saying.

Why North Texas?

Apr 5th, 2021
by Charles Kuffner.
15 comments

The Trib reprints a WaPo story about a cluster of Capitol insurrectionists in the Dallas suburbs, and it’s something.

Hope for Trump’s return is fervent in Frisco and across the northern Dallas suburbs, an area of rapid growth and rapidly increasing diversity. Nineteen local residents have been charged in connection with the Jan. 6 attack on the U.S. Capitol, according to federal authorities, one of the largest numbers in any place in the country.

Many of the rioters came from the “mainstream of society,” according to the FBI’s Dallas field office, including three real estate agents, a retired Air Force lieutenant colonel, an oilman and an actor who once appeared on the popular television show “Friday Night Lights.” They were driven by a “salad bowl of grievances,” the FBI said, including anger over the presidential election, white-supremacist ideology and the discredited extremist ideology QAnon, which holds that Trump will save the world from a cabal of Satan-worshipping pedophiles.

Their groundless claims are being fed by conservative politicians and from the pulpits of large, powerful evangelical churches with teachings that verge on white nationalism, both motivated by fear that they are losing a largely white, conservative enclave that views these changes with suspicion.

More arrests are coming, and North Texas remains a focus for investigators who expect to charge as many as 400 people from across the country in the attack on the Capitol.

[…]

Over the past two decades, Collin County, north of Dallas, more than doubled its population to 1 million, according to census data, with newcomers drawn by the mild weather, good schools, low taxes and the arrival of several big employers and new corporate headquarters, including Toyota, Liberty Mutual and the Dallas Cowboys. The rapid expansion created an air of Disney World built on the clay soil of the Texas plains, one Frisco consultant noted, where everything is new and planned. The median household income is $97,000, well above the U.S. median of $69,000.

But this utopia on the Dallas North Tollway has its fissures, which have deepened in the last year, with debate over pandemic restrictions, the country’s racial reckoning and the divisive 2020 presidential election that pitted neighbor against neighbor and continues to divide. Unlike many other suburban counties in the country that helped sway the election for Biden, Collin County stayed red, with 51% voting for Trump and 46% for Biden.

The county’s rapid growth has increased its diversity — with the Latino and Asian American populations growing, and the white population in decline — causing tensions, some residents say. In 2017, Plano Mayor Harry LaRosiliere was challenged by an opponent who promised to “keep Plano suburban,” which LaRosiliere, who is Black, said was a “dog whistle” for residents wanting to keep the town white and affluent. LaRosiliere won the four-way nonpartisan race with 52% of the votes, but his “keep Plano suburban” opponent won 42%. This year, Plano City Coucil member Shelby Williams came under fire when he said in a post-riot blog post that “things could be much worse . . . People in many parts of the Muslim world are still slaughtering one another today.”

Frisco Realtor Hava Johnston said some residents feel the area has become “too diverse.”

“They created this perfect little bubble of the way they wanted things … now we’ve got true diversity, and those Christian nationalists are afraid of losing their power,” said Johnston, a Democratic activist and one of the internet sleuths who helped unmask local residents who participated in the Capitol riots. “These are the very people who would do things like have Trump parades every weekend and take a private jet to a riot.”

There’s a lot here, and I’ll get to one specific criticism in a moment, but I personally object to the “Collin County stayed red” line, not because it’s untrue but because it really misstate what has happened in Collin County this past decade. I mean:

2012 – Romney 65.0%, Obama 33.5%
2016 – Trump 55.6%, Clinton 38.9%
2020 – Trump 51.4%, Biden 47.0%

You can say “Collin County stayed red”, as if it were some act of defiance against the prevailing political winds, but come on. Collin County shifted a net 27 points in the Democrats’ direction, at least at the Presidential level, since 2012. That’s a seismic change, and very much in line with what was happening nationally. Collin County didn’t quite make it to blue county status in 2020, but boy howdy has it come a long way.

D Magazine had other complaints, starting with the charge that non-Texan authors who parachute in for this kind of analysis often fail to understand what’s actually happening and miss details that make locals scratch their heads. I have some sympathy with this, though I do think there’s some value in getting an outside perspective sometimes. Honestly, my main beef with this article was more along the lines of “oh God, are we still doing entire stories on the feelings of Trump voters? Make it stop already.” I guess the question of why there were so many insurrectionists from this part of the world is an interesting one, but please give me many more articles about the newly activated and energized Democrats of Collin County to balance it out, thanks. In the meantime, please feel free to blow a raspberry at that blonde realtor from Frisco who may well be the poster child for this whole story.

Precinct analysis: State Senate comparisons

Mar 29th, 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

No, I had not planned to do any more of these, at least not until we got the statewide numbers. But then I got an email from Marc Campos on behalf of Sen. Carol Alvarado, who had seen the earlier comparison posts and wanted to know if I had those numbers for SD06. I didn’t at the time, but I do now thanks to getting the full jurisdiction data, so I went back and filled in the blanks. And so here we are. 


Dist   Romney    Obama Johnson  Stein
=====================================
SD04   44,973   12,531     502    165
SD06   43,852   89,584   1,004    537
SD07  196,017   93,774   2,844    816
SD11   67,586   29,561   1,106    366
SD13   26,894  144,882   1,041    524
SD15   88,851  131,838   2,198    933
SD17  109,529   79,412   2,265    737
SD18    7,161    3,804      97     25

Dist    Trump  Clinton Johnson  Stein
=====================================
SD04   45,530   17,091   2,123    376
SD06   39,310  109,820   3,666  1,770
SD07  189,451  127,414  10,887  2,632
SD11   63,827   37,409   3,537    918
SD13   24,061  143,864   3,046  1,787
SD15   82,163  159,360   8,511  2,389
SD17   91,838  105,496   7,455  1,764
SD18    8,780    6,017     476    119

Dist    Trump    Biden     Lib    Grn
=====================================
SD04   55,426   25,561     936    145
SD06   61,089  123,708   1,577    770
SD07  232,201  188,150   4,746  1,216
SD11   77,325   51,561   1,605    389
SD13   38,198  166,939   1,474    753
SD15  110,485  208,552   3,444  1,045
SD17  110,788  140,986   2,706    720
SD18   15,118   12,735     331     91

Dist   Romney    Obama Johnson  Stein
=====================================
SD04   77.31%   21.54%   0.86%  0.28%
SD06   32.49%   66.37%   0.74%  0.40%
SD07   66.80%   31.96%   0.97%  0.28%
SD11   68.53%   29.97%   1.12%  0.37%
SD13   15.52%   83.58%   0.60%  0.30%
SD15   39.70%   58.90%   0.98%  0.42%
SD17   57.06%   41.37%   1.18%  0.38%
SD18   64.59%   34.31%   0.87%  0.23%

Dist    Trump  Clinton Johnson  Stein
=====================================
SD04   69.92%   26.25%   3.26%  0.58%
SD06   25.43%   71.05%   2.37%  1.15%
SD07   57.34%   38.57%   3.30%  0.80%
SD11   60.39%   35.39%   3.35%  0.87%
SD13   13.93%   83.27%   1.76%  1.03%
SD15   32.55%   63.13%   3.37%  0.95%
SD17   44.46%   51.07%   3.61%  0.85%
SD18   57.04%   39.09%   3.09%  0.77%

Dist    Trump    Biden     Lib    Grn
=====================================
SD04   67.54%   31.15%   1.14%  0.18%
SD06   32.64%   66.10%   0.84%  0.41%
SD07   54.47%   44.13%   1.11%  0.29%
SD11   59.08%   39.40%   1.23%  0.30%
SD13   18.42%   80.51%   0.71%  0.36%
SD15   34.15%   64.46%   1.06%  0.32%
SD17   43.41%   55.25%   1.06%  0.28%
SD18   53.47%   45.04%   1.17%  0.32%

I’ve limited the comparisons to the Presidential numbers from 2012 through 2020, which you see above, and the Senate numbers for 2012 and 2020, which I’ll present next. There wasn’t much difference between the Senate numbers and the RRC numbers, so I made this a little easier on myself. There’s nothing in this data that we haven’t seen and talked about before, but it’s worth taking a minute and reviewing it all again.

If we look at SD06, which is a heavily Latino district, you can see the increase in support for Trump from 2016 to 2020, which has been the story everyone has been talking about. I think it’s instructive to include the 2012 numbers, because the net change over the eight year period is basically zero from a percentage perspective – Obama carried SD06 by a 66-32 margin, while Biden carried it 66-33 – the vote gap increased by over 16K in the Dems’ favor. It’s true that Biden won SD06 by fewer votes than Hillary Clinton did, and that Trump closed the gap from 2016 by eight thousand votes, but the overall trend for this period is one that I find as a Democrat to be satisfactory. The overall direction is what I want, even if it’s not as fast as I’d like it to be. What happens next is the argument we’re all having, and there’s data to support either position. We’ll just have to see how it goes.

The flip side of that is what happened in SD07, Dan Patrick’s former district and one of the redder places in the state in 2012. Here, the trend is unmistakably in one direction. Mitt Romney’s SD07 was as Republican as SD06 was Democratic. Hillary Clinton shaved 41K off of the Dem deficit in 2016, and Joe Biden shrunk it by another 18K. In 2020, SD07 was only a ten-point GOP district. It would not be crazy to view it as a swing district, at least at the Presidential level, in 2024. I don’t know what the Republican redistricting plan is, but they’re not going to have a lot of spare capacity to borrow from in SD07. Just take a look at SD17 – which includes a lot of turf outside Harris County – to see why this make them a little nervous.

Finally, a few words about a couple of districts I don’t usually think about in these analyses, SD13 and SD15. The total number of votes in SD13 didn’t increase very much from 2012 to 2020 – indeed, it’s the one place I see where both Trump and Clinton got fewer votes than their counterparts in 2012 – and that is something I’d like to understand better. (For what it’s worth, Borris Miles got about 40K votes in Fort Bend in 2020, while Rodney Ellis got 32K in 2012. That’s a slightly higher growth rate than in Harris, but still kind of slow compared to other districts.) Trump 2020 snipped a couple of percentage points off Romney’s deficit, from down 68 to down 62, but that’s still a net 10K votes for Dems. As for SD15, it’s an example of a strong Democratic district that really stepped it up over the past eight years, performing in that way much like a lot of formerly dark red areas. Biden gained 55K net votes over Obama, as SD15 went from a 19 point Dem district to a 30 point Dem district. We’re going to need more like this around the state as we go forward.


Dist     Cruz   Sadler   MyersCollins
=====================================
SD04   44,387   12,129     849    408
SD06   45,066   84,671   1,701  1,364
SD07  194,269   90,258   4,579  2,116
SD11   66,327   28,875   1,736    779
SD13   27,839  139,516   1,866  1,357
SD15   88,594  127,006   3,709  2,178
SD17  107,576   76,803   3,396  1,801
SD18    7,135    3,637     175     78

Dist   Cornyn    Hegar     Lib    Grn
=====================================
SD04   56,085   23,380   1,405    393
SD06   59,310  115,620   3,609  2,257
SD07  237,216  173,948   7,682  2,796
SD11   77,887   47,787   2,508    854
SD13   39,386  157,671   3,502  2,149
SD15  114,616  195,264   6,065  2,657
SD17  118,460  128,628   3,892  1,603
SD18   15,268   11,859     554    180

Dist     Cruz   Sadler   MyersCollins
=====================================
SD04   76.30%   20.85%   1.46%  0.70%
SD06   33.39%   62.73%   1.26%  1.01%
SD07   66.20%   30.76%   1.56%  0.72%
SD11   67.26%   29.28%   1.76%  0.79%
SD13   16.06%   80.49%   1.08%  0.78%
SD15   39.58%   56.74%   1.66%  0.97%
SD17   56.05%   40.01%   1.77%  0.94%
SD18   64.35%   32.80%   1.58%  0.70%

Dist	Cornyn   Hegar     Lib    Grn
=====================================
SD04   69.02%   28.77%   1.73%  0.48%
SD06   32.80%   63.95%   2.00%  1.25%
SD07   55.64%   40.80%   1.80%  0.66%
SD11   60.36%   37.03%   1.94%  0.66%
SD13   19.43%   77.78%   1.73%  1.06%
SD15   35.43%   60.35%   1.87%  0.82%
SD17   46.42%   50.40%   1.53%  0.63%
SD18   54.80%   42.56%   1.99%  0.65%

The Senate numbers don’t tell us a whole lot that we didn’t already know, but do note that MJ Hegar slightly increased the percentage point gap in SD06, where it had shrunk by a point for Biden. That may be more a reflection of Paul Sadler’s candidacy than anything else, but I wanted to point it out. Hegar’s overall numbers are lesser than Biden’s, as we knew, but the same trends exist in the districts. If you never had the 2016 data for the Presidential race and only knew how things changed from 2012 to 2020 as you do with the Senate races, I wonder how people’s perceptions would differ.

This time I really mean it when I say that’s all she wrote. When we have the full numbers from the Texas Legislative Council I’ll have more to say, and then the real fun will begin when redistricting gets underway. (And by “fun” I mean “existential horror”, but you get the idea.) Let me know what you think.

How will Biden handle judicial nominations in Texas?

Mar 2nd, 2021
by Charles Kuffner.
4 comments

Damn good question. He’s got to get better results than President Obama did.

Rep. Eddie Bernice Johnson

A potential showdown looms over Texas appointments after the White House tapped Rep. Eddie Bernice Johnson, a Dallas Democrat, to lead judicial vetting efforts that have traditionally been handled by the state’s Republican senators.

The arrangement, while not unprecedented, may foreshadow bruising partisan battles in the coming months over lifetime appointments to the bench, as well as key U.S. attorney spots.

House members have no defined role in that confirmation process, which instead works through the Senate. But there is an inherent tension in Texas these days: Democrats control the White House and Senate, while Texas Sens. John Cornyn and Ted Cruz are stalwart conservatives.

Johnson, a 15-term lawmaker who said the White House had tasked her to work with other Texas Democrats, channeled years of Democratic complaints that the GOP has stiffed them on judicial nominations by saying there is now “some expectation from our delegation that we have input.”

“It worked very well under Sen. [Phil] Gramm and Sen. [Kay Bailey] Hutchison,” she explained, referring to the two Texas Republicans who preceded Cornyn and Cruz in the Senate. “It hasn’t worked as well under Sen. Cornyn and Sen. Cruz.”

Cornyn and Cruz have pushed back on Democrats’ criticism that they’ve slow-walked the process under Democratic presidents and pressed fast-forward under GOP ones.

But the big question now is whether President Joe Biden and other Democrats — including Sen. Dick Durbin, the new chairman of the Senate Judiciary Committee — will really play hardball with the Texas Republicans by ignoring traditions designed to protect senators in the political minority.

[…]

There’s still the real potential for clashes in Texas over judicial nominations, though it could take some time for those disputes to materialize. While a new slate of U.S. attorneys will need to be dealt with relatively soon, there are currently no vacancies on the federal bench in Texas.

Much of the ongoing tension can be explained by how the status quo came about on Texas’ four district courts and the 5th Circuit Court of Appeals, the appellate court that covers the state.

Trump — working with Kentucky Sen. Mitch McConnell, the top Republican in the Senate — made federal judges a centerpiece of his four years in the White House, confirming them at a far faster pace than his predecessors, both Democrats and Republicans.

In Texas, Trump-appointed judges now comprise a plurality on the lower federal courts.

With a Republican in the White House and a GOP-run Senate, Cornyn and Cruz didn’t really need to seek input from Texas Democrats. Johnson, while saying she respects that the senators “are the senators,” fumed that “we didn’t even get a question or a call” over the last four years.

But the bigger Democratic complaint has centered on why Trump had so many vacancies to fill in the first place.

Democrats have long ripped Republicans for grinding judicial confirmations to a crawl after the GOP won the Senate in the latter stages of former President Barack Obama’s tenure. Trump often reveled in the vacancies he inherited, much to the chagrin of liberals in Texas and beyond.

“While we were able to find some very good judges, overall I don’t think the process worked very well,” said Christopher Kang, who oversaw the judicial nomination process under Obama. “Sens. Cornyn and Cruz were very challenging to work with, were very slow to work with.”

I’ve already discussed the US Attorney situation, which was an exercise in slow-walking in 2009-2010. I suppose it can serve as a way for Cornyn and Cruz to demonstrate that things will be different this time, but I see no reason to give them the benefit of the doubt. I say the Senators are welcome to put forth whatever names they want to, and if they’re sufficiently qualified and suitable, they can get in the queue alongside the nominees that Rep. Johnson and others provide. Otherwise, they can sit back and vote on the nominees like any other Senator, assuming that doesn’t conflict with Sen. Cruz’s busy travel schedule.

Ryan Patrick to resign as US Attorney

Feb 11th, 2021
by Charles Kuffner.
30 comments

As is customary when a new President of the opposing party takes office.

Ryan Patrick

U.S. Attorney Ryan K. Patrick said the acting attorney general asked him Tuesday to resign, a common occurrence when the occupant of the White House belongs to a different party than his predecessor.

Patrick got word on a joint call from acting Attorney General Monty Wilkinson with other U.S. attorneys, nearly all of whom also have been asked to resign no later than Feb. 28. Patrick said he planned to finish out the month.

“This is not goodbye yet, as I have at least another 19 days representing the United States,” he wrote in an internal email to his staff.

Patrick said ethics rules don’t permit him to disclose where he’s headed next.

Dozens of Trump appointees were expected to leave posts across the country, according to news reports.

Patrick, the son of Lt. Gov. Dan Patrick, has been the top federal law enforcement officer in the Southern District of Texas since Jan. 8, 2018. He oversees an array of criminal and civil matters and supervises more than 200 attorneys and 500 staffers covering an area that stretches from near the Louisiana border to McAllen.

I don’t have an opinion about Ryan Patrick. Honestly, the fact that he mostly stayed out of the news is a positive as far as I’m concerned. I’m sure he’ll do fine with whatever comes next.

I’m much more interested in who will be nominated to replace him and the other US Attorneys in Texas. In particular, I hope we get nominees and get them confirmed a lot faster than we did with the Obama administration, where Senators Cornyn and Hutchison were basically allowed to have veto power over the process. That’s one of the lessons the Biden administration appears to have learned from that experience, and I’m here for it. Now please don’t make me have to write another post in a year’s time wondering where our damn US Attorneys are. TPM has more.

The Republicans are not going to expand Medicaid

Feb 1st, 2021
by Charles Kuffner.
Comments are off for this post

Maybe there was a brief moment, when the budget situation looked dire, when the forbidden topic could have been quietly whispered about. But come on, we know the score.

It’s constitutional – deal with it

Texas Republicans have long resisted expanding Medicaid under the Affordable Care Act, unswayed by the promise of billions in new federal aid for a state perennially ranked last in health coverage. But last fall, with their state House majority on the line and the uninsured rate climbing again amid the pandemic, conservative support seemed to be building.

On the campaign trail, Rep. Angie Chen Button, R-Richardson, said she was newly open to expanding the public insurance program under limited conditions. Rep. Morgan Meyer, R-Dallas, expressed support for a broader expansion than he had previously. Rep. Lyle Larson, R-San Antonio, tweeted that lawmakers should “seriously consider accessing federal Medicaid funding” in the next legislative session.

“This is money we’re sending to the federal government and not getting back,” he wrote.

With the session now underway, the party is facing a reckoning on the issue. All but a dozen states including Texas have expanded Medicaid since President Barack Obama’s signature health care law passed in 2010. It is broadly popular in Texas, according to polls. And Republicans in swing districts have come under increasing pressure from voters to address the state’s ballooning uninsured rate, which was at 18.4 percent before the pandemic, or about 5.2 million people.

House Republicans have yet to file any bills, though lawmakers said work is happening behind the scenes on a measure that could satisfy the GOP majority. Staffers for Button, Meyer and Larson either did not respond to messages or said they were unavailable to comment.

Finding widespread approval will be tough, and proponents lost a key leverage point this month when the outgoing Trump administration extended part of a waiver that helps Texas hospitals cover uncompensated care. While the move does not expand health coverage, it does ensure that emergency care is reimbursed for struggling hospital systems that treat low-income patients.

“The 1115 waiver was never meant to be a permanent fix,” said Sarah Davis, a former Republican state representative who favors expansion. “It was really supposed to be kind of like a bridge, because we were assuming — or the government was assuming — that the state would be expanding Medicaid.”

In the Senate, Republicans are likely to oppose any expansion bills. The upper chamber has blocked past attempts and killed legislation last session that sought even a narrow expansion, for new moms. A Senate committee omitted the option entirely in a report last year on ways to lower the state’s uninsured rate.

See here for more on the 1115 waiver. As the story notes, Greg Abbott has no interest in expanding Medicaid, either. I can believe there are some Republican State Reps, especially in tight-margin urban/suburban districts, who’d vote for some form of Medicaid expansion if a bill came up, but that’s a long way away from convincing Greg Abbott and Dan Patrick. You want to expand Medicaid, you need to vote for the candidates from the party that wants to expand Medicaid. It ain’t happening otherwise. This is our sixth regular session post-Obamacare, the track record should be perfectly clear by now.

It’s going to be lawsuit season again

Jan 19th, 2021
by Charles Kuffner.
2 comments

Not looking forward to it, but it’s better than the alternative.

It’s constitutional – deal with it

President-elect Joe Biden has big plans for his first 100 days in office, when he’s vowed to roll back the Trump administration’s immigration crackdown, push policies addressing climate change and potentially forgive student debt for thousands of Americans.

He’s also said he’ll push a mask mandate to combat COVID-19 and wants Congress to pass another massive stimulus package. And in the longer term, Biden has talked about rewriting the tax code to raise taxes on the rich.

Texas is almost certain to fight him every step of the way.

The state is about to be back on the front lines battling against the federal government, a long tradition for its Republican leaders, from former Gov. Rick Perry to Gov. Greg Abbott — who as the state’s attorney general famously said, “I go into the office, I sue the federal government and I go home.”

Abbott’s successor, Attorney General Ken Paxton, has been just as committed to pushing back on federal laws and mandates championed by Democrats. Most recently he led a failed lawsuit seeking to overturn Biden’s victory in four battleground states at the U.S. Supreme Court. Paxton did not respond to a request for comment.

As Biden takes office next week, many expect the state to pick up where it left off after suing the Obama administration dozens of times to stop initiatives such as the Clean Power Plan, scrap protections for immigrants brought to the country illegally as children and end the Affordable Care Act.

The conservative Texas Public Policy Foundation — which filed the Obamacare challenge that Paxton joined and is now before the Supreme Court — is gearing up to start grinding out challenges to a slew of White House priorities regarding immigration, energy and taxes.

“On the eve of the election we were discussing internally, ‘Well, what would happen if Biden won?’ One thing everyone pretty much agreed on is our litigation center would probably increase in size significantly,” said Chuck DeVore, vice president of national initiatives at TPPF. “We’re kind of excited about it.”

Robert Henneke, general counsel at the TPPF, wouldn’t say whether the group’s legal staff has grown as expected, but did say they are bracing for battles ahead as he expects the Biden administration to “pick up where the Obama administration left off.”

The story goes on to list some likely future battles, a couple of which are ongoing now. It should be noted that Texas’ record suing the Obama administration wasn’t particularly good, though now there are all those Trump judges on the bench, so who knows what can happen. One other thing that can happen is we can boot our felonious Attorney General out of office next year. That won’t stop bad actors in the private sector from bringing cases, but it will at least keep them from having the state’s imprimatur on them. All I can say beyond that is I hope they feel the need to file lawsuits for a lot longer than the next four years.

Precinct analysis: Presidential results by Congressional district

Jan 18th, 2021
by Charles Kuffner.
3 comments

From Daily Kos Elections, the breakdown of how Presidential voting went in each of Texas’ 36 Congressional districts:

Two districts did in fact flip on the presidential level: Trump lost the 24th District in the Dallas-Fort Worth suburbs while recapturing the 23rd District along the border with Mexico. Biden, however, made major gains in a number of other suburban districts and nearly won no fewer than seven of them. Trump, meanwhile, surged in many heavily Latino areas and likewise came close to capturing three, but except for the 24th, every Trump seat is in GOP hands and every Biden seat is represented by Democrats. The 24th, which includes the suburbs north of Dallas and Fort Worth, is a good place to start because it saw one of the largest shifts between 2016 and 2020. The district began the decade as heavily Republican turf—it backed Mitt Romney 60-38—but Trump carried it by a substantially smaller 51-44 margin four years later.

Biden continued the trend and racked up a 52-46 win this time, but the area remained just red enough downballot to allow Republican Beth Van Duyne to manage a 49-47 victory in an expensive open-seat race against Democrat Candace Valenzuela.

Biden fell just short of winning seven other historically red suburban seats: the 2nd, 3rd, 6th, 10th, 21st, 22nd, and 31st, where Trump’s margins ranged from just one to three points and where the swings from 2016 ranged from seven points in the 22nd all the way to 13 points in the 3rd, the biggest shift in the state. However, as in the 24th, Biden’s surge did not come with sufficient coattails, as Republicans ran well ahead of Trump in all of these seats. (You can check out our guide for more information about each district.)

Two seats that Democrats flipped in 2018 and stayed blue last year also saw large improvements for Biden. The 7th District in west Houston, parts of which were once represented by none other than George H.W. Bush from 1967 to 1971, had swung from 60-39 Romney to 48-47 Clinton, and Biden carried it 54-45 in 2020. Democratic Rep. Lizzie Fletcher won by a smaller 51-47 spread against Wesley Hunt, who was one of the House GOP’s best fundraisers. The 32nd District in the Dallas area, likewise, had gone from 57-41 Romney to 49-47 Clinton. This time, Biden took it 54-44 as Democratic Rep. Colin Allred prevailed 52-46.

Biden’s major gains in the suburbs, though, came at the same time that Trump made serious inroads in predominantly Latino areas on or near the southern border with Mexico. That rightward shift may have cost Team Blue the chance to flip the open 23rd District, which stretches from San Antonio west to the outskirts of the El Paso area.

A full breakdown by county and district is here, and a comparison of percentages from 2016 and 2020 is here. CD23 went from being a Romney district to a Clinton district to a Trump district, though in all cases it was close. The red flags are in CDs 15, 28, and 34. In CD15, incumbent Vicente Gonzalez won by only three points, in a district Biden carried by one point, a huge drop from Clinton’s 57-40 win in 2016. Everyone’s least favorite Democrat Henry Cuellar had an easy 19-point win, but Biden only carried CD28 by four points, down from Clinton’s 20-point margin. It’s not crazy to think that Jessica Cisneros could have lost that race, though of course we’ll never know. This wasn’t the scenario I had in mind when I griped that CD28 was not a “safe” district, but it does clearly illustrate what I meant. And Filemon Vela, now a DNC Vice Chair, also had a relatively easy 55-42 win, but in a district Biden carried 52-48 after Clinton had carried it 59-38. Not great, Bob.

We don’t have the full downballot results – we’ll probably get them in March from the Texas Legislative Council – but the Harris County experience suggests there will be some variance, and that other Dems may do a little better in those districts. How much of this was Trump-specific and how much is long-term is of course the big question. The Georgia Senate runoffs, coupled with the 2018 results, suggest that having Trump on the ballot was better for Republicans than not having him on the ballot. On the other hand, 2022 will be a Democratic midterm year, and the last couple of them did not go well. On the other other hand, Trump is leaving office in complete disgrace and with approval levels now in the low 30s thanks to the armed insurrection at the Capitol, and for all the damage he did to the economy and the COVID mitigation effort, Biden is in a position to make big progress in short order. It’s just too early to say what any of this means, but suffice it to say that both Ds and Rs have challenges and opportunities ahead of them.

There are some very early third-party efforts at drawing new Congressional districts – see here and here for a couple I’ve come across. We still need the actual Census numbers, and as I’ve said before, the Republicans will have to make decisions about how much risk they want to expose themselves to. The way these maps are drawn suggests to me that “pack” rather than “crack” could be the strategy, but again this is all very early. There is also the possibility that the Democratic Congress can push through voting rights reform that includes how redistricting can be done, though the clock and potentially the Supreme Court will be factors. And if there’s one thing we should have learned over the last 20 years, it’s that due to Texas’ rapid growth, the districts you draw at the beginning of the decade may look quite a bit different by the end of the decade. We’re at the very start of a ten-year journey. A lot is going to happen, and the farther out we get the harder it is to see the possibilities.

Precinct analysis: Other jurisdictions

Dec 21st, 2020
by Charles Kuffner.
5 comments

Introduction
Congressional districts
State Rep districts
Commissioners Court/JP precincts
Comparing 2012 and 2016
Statewide judicial

You may be wondering “Hey, how come you haven’t reported on data from SBOE and State Senate districts?” Well, I’ll tell you, since the SBOE and Senate serve four-year terms with only half of the races up for election outside of redistricting years, the results in the districts that aren’t on the ballot are not discernable to me. But! I was eventually able to get a spreadsheet that defined all of the relevant districts for each individual precinct, and that allowed me to go back and fill in the empty values. And now here I present them to you. Oh, and as a special bonus, I merged the data from the 2012 city of Houston bond elections into this year’s totals and pulled out the numbers for the city of Houston for the top races. So here you have it:


Dist     Trump    Biden    Lib    Grn  Trump%  Biden%   Lib%   Grn%
===================================================================
SBOE4  110,192  350,258  3,530  1,787  23.66%  75.20%  0.76%  0.38%
SBOE6  371,101  391,911  8,796  2,157  47.95%  50.64%  1.14%  0.28%
SBOE8  219,337  176,022  4,493  1,185  54.69%  43.89%  1.12%  0.30%
								
SD04    55,426   25,561    936    145  67.54%  31.15%  1.14%  0.18%
SD06    61,089  123,708  1,577    770  32.64%  66.10%  0.84%  0.41%
SD07   232,201  188,150  4,746  1,216  54.47%  44.13%  1.11%  0.29%
SD11    77,325   51,561  1,605    389  59.08%  39.40%  1.23%  0.30%
SD13    38,198  166,939  1,474    753  18.42%  80.51%  0.71%  0.36%
SD15   110,485  208,552  3,444  1,045  34.15%  64.46%  1.06%  0.32%
SD17   110,788  140,986  2,706    720  43.41%  55.25%  1.06%  0.28%
SD18    15,118   12,735	   331     91  53.47%  45.04%  1.17%  0.32%

Hou    285,379  535,713  8,222  2,704  34.30%  64.39%  0.99%  0.32%
Harris 415,251  382,480  8,597  2,425  51.34%  47.29%  1.06%  0.30%


Dist    Cornyn    Hegar    Lib    Grn Cornyn%  Hegar%   Lib%   Grn%
===================================================================
SBOE4  110,002  330,420  8,479  5,155  23.62%  70.94%  1.82%  1.11%
SBOE6  387,726  359,196 13,130  4,964  50.68%  46.95%  1.72%  0.65%
SBOE8  220,500  164,540  7,608  2,770  55.76%  41.61%  1.92%  0.70%
								
SD04    56,085   23,380  1,405    393  69.02%  28.77%  1.73%  0.48%
SD06    59,310  115,620  3,609  2,257  32.80%  63.95%  2.00%  1.25%
SD07   237,216  173,948  7,682  2,796  55.64%  40.80%  1.80%  0.66%
SD11    77,887   47,787  2,508    854  60.36%  37.03%  1.94%  0.66%
SD13    39,386  157,671  3,502  2,149  19.43%  77.78%  1.73%  1.06%
SD15   114,616  195,264  6,065  2,657  35.43%  60.35%  1.87%  0.82%
SD17   118,460  128,628  3,892  1,603  46.42%  50.40%  1.53%  0.63%
SD18    15,268   11,859    554    180  54.80%  42.56%  1.99%  0.65%

Hou    297,735  498,078 14,537  7,021  36.43%  60.94%  1.78%  0.86%
Harris 420,493  356,080 14,680  5,868  52.75%  44.67%  1.84%  0.74%


Dist    Wright    Casta    Lib    Grn Wright%  Casta%   Lib%   Grn%
===================================================================
SBOE4  102,521  332,324  8,247  7,160  22.01%  71.35%  1.77%  1.54%
SBOE6  379,555  347,938 16,311  9,217  50.40%  46.21%  2.17%  1.22%
SBOE8  214,771  163,095  8,573  4,631  54.92%  41.70%  2.19%  1.18%
								
SD04    54,997   22,915  1,715    685  68.48%  28.53%  2.14%  0.85%
SD06    54,732  118,635  3,389  2,751  30.49%  66.09%  1.89%  1.53%
SD07   232,729  169,832  9,084  4,902  54.59%  39.84%  2.13%  1.15%
SD11    75,580   47,284  2,906  1,454  59.41%  37.17%  2.28%  1.14%
SD13    37,009  156,577  3,653  3,306  18.45%  78.08%  1.82%  1.65%
SD15   111,109  192,351  6,833  4,347  34.34%  59.45%  2.11%  1.34%
SD17   115,654  124,174  4,931  3,219  45.32%  48.66%  1.93%  1.26%
SD18    15,037   11,590    620    344  54.50%  42.01%  2.25%  1.25%

Hou    286,759  491,191 16,625 11,553  34.47%  59.04%  2.00%  1.39%
Harris 410,088  352,168 16,506  9,455  50.71%  43.54%  2.04%  1.17%

Dist     Hecht  Meachum    Lib  Hecht% Meachum%  Lib%
=====================================================
SBOE4  104,675  334,600 10,745  23.26%  74.35%  2.39%
SBOE6  387,841  349,776 17,294  51.38%  46.33%  2.29%
SBOE8  217,760  164,210  9,466  55.63%  41.95%  2.42%
						
SD04    55,773   22,920  1,721  69.36%  28.50%  2.14%
SD06    56,313  117,884  4,832  31.45%  65.85%  2.70%
SD07   235,317  172,232  9,800  56.38%  41.27%  2.35%
SD11    77,081   47,122  3,169  60.52%  37.00%  2.49%
SD13    37,495  158,731  4,500  18.68%  79.08%  2.24%
SD15   113,248  194,232  7,612  35.94%  61.64%  2.42%
SD17   119,941  123,630  5,196  48.21%  49.70%  2.09%
SD18    15,108   11,836    675  54.70%  42.85%  2.44%

Dist      Boyd   Will's    Lib   Boyd% Will's%   Lib%
=====================================================
SBOE4  104,397  336,102  8,832  23.23%  74.80%  1.97%
SBOE6  380,861  354,806 15,618  50.69%  47.23%  2.08%
SBOE8  217,360  164,288  8,525  55.71%  42.11%  2.18%
						
SD04    55,481   22,982  1,621  69.28%  28.70%  2.02%
SD06    56,932  117,444  4,132  31.89%  65.79%  2.31%
SD07   234,080  173,025  8,683  56.30%  41.61%  2.09%
SD11    76,633   47,377  2,834  60.42%  37.35%  2.23%
SD13    36,755  160,184  3,557  18.33%  79.89%  1.77%
SD15   111,564  195,699  6,798  35.52%  62.31%  2.16%
SD17   116,011  126,731  4,723  46.88%  51.21%  1.91%
SD18    15,162   11,755    627  55.05%  42.68%  2.28%


Dist     Busby   Triana    Lib  Busby% Triana%   Lib%
=====================================================
SBOE4  104,071  335,587  9,074  23.19%  74.79%  2.02%
SBOE6  389,317  343,673 17,392  51.88%  45.80%  2.32%
SBOE8  218,278  162,376  9,125  56.00%  41.66%  2.34%
						
SD04    55,864   22,402  1,739  69.83%  28.00%  2.17%
SD06    55,719  118,801  4,006  31.21%  66.55%  2.24%
SD07   235,948  169,843  9,532  56.81%  40.89%  2.30%
SD11    77,324   46,265  3,101  61.03%  36.52%  2.45%
SD13    37,498  158,536  3,962  18.75%  79.27%  1.98%
SD15   113,780  192,651  7,220  36.28%  61.42%  2.30%
SD17   120,435  121,393  5,349  48.72%  49.11%  2.16%
SD18    15,098   11,746    682  54.85%  42.67%  2.48%


Dist    Bland    Cheng  Bland%   Cheng%
=======================================
SBOE4  112,465  336,620  25.04%  74.96%
SBOE6  401,946  350,154  53.44%  46.56%
SBOE8  225,783  164,516  57.85%  42.15%
				
SD04    57,378   22,793  71.57%  28.43%
SD06    60,243  118,418  33.72%  66.28%
SD07   243,089  172,941  58.43%  41.57%
SD11    79,757   47,134  62.85%  37.15%
SD13    40,242  160,069  20.09%  79.91%
SD15   119,474  194,619  38.04%  61.96%
SD17   124,299  123,453  50.17%  49.83%
SD18    15,712   11,864  56.98%  43.02%


Dist     BertR  Frizell  BertR% Frizell%
=======================================
SBOE4  107,445  340,670  23.98%  76.02%
SBOE6  392,514  355,217  52.49%  47.51%
SBOE8  221,860  166,900  57.07%  42.93%
				
SD04    56,609   23,176  70.95%  29.05%
SD06    57,800  120,402  32.44%  67.56%
SD07   239,113  175,071  57.73%  42.27%
SD11    78,483   47,818  62.14%  37.86%
SD13    38,419  161,433  19.22%  80.78%
SD15   115,389  197,276  36.90%  63.10%
SD17   120,576  125,566  48.99%  51.01%
SD18    15,430   12,046  56.16%  43.84%


Dist     Yeary  Clinton  Yeary%Clinton%
=======================================
SBOE4  107,727  339,999  24.06%  75.94%
SBOE6  387,309  359,489  51.86%  48.14%
SBOE8  221,725  166,780  57.07%  42.93%
				
SD04    56,405   23,323  70.75%  29.25%
SD06    58,285  119,666  32.75%  67.25%
SD07   238,608  175,225  57.66%  42.34%
SD11    78,085   48,109  61.88%  38.12%
SD13    38,214  161,577  19.13%  80.87%
SD15   114,407  197,949  36.63%  63.37%
SD17   117,277  128,438  47.73%  52.27%
SD18    15,480   11,982  56.37%  43.63%


Dist    Newell    Birm  Newell%   Birm%
=======================================
SBOE4  110,449  336,329  24.72%  75.28%
SBOE6  392,944  352,514  52.71%  47.29%
SBOE8  223,453  164,440  57.61%  42.39%
				
SD04    56,669   22,936  71.19%  28.81%
SD06    59,575  117,944  33.56%  66.44%
SD07   240,463  172,769  58.19%  41.81%
SD11    78,816   47,161  62.56%  37.44%
SD13    39,166  160,126  19.65%  80.35%
SD15   116,700  195,074  37.43%  62.57%
SD17   119,849  125,464  48.86%  51.14%
SD18    15,608   11,810  56.93%  43.07%

To be clear, “Harris” refers to everything that is not the city of Houston. It includes the other cities, like Pasadena and Deer Park and so forth, as well as unincorporated Harris County. There are some municipal results in the 2020 canvass, and maybe I’ll take a closer look at them later – I generally haven’t done that for non-Houston cities in the past, but this year, we’ll see. Please note also that there are some precincts that include a piece of Houston but are not entirely Houston – the boundaries don’t coincide. Basically, I skipped precincts that had ten or fewer votes in them for the highest-turnout 2012 referendum, and added up the rest. So those values are approximate, but close enough for these purposes. I don’t have city of Houston results for most elections, but I do have them for a few. In 2008, Barack Obama got 61.0% in Houston and 39.5% in non-Houston Harris County. In 20122018, Beto reached a new height with 65.4% in Houston; that calculation was done by a reader, and unfortunately he didn’t do the corresponding total for Harris County. Joe Biden’s 64.39% fits in just ahead of Adrian Garcia in 2012, and about a point behind Beto. Not too bad.

SBOE4 is a mostly Black district primarily in Harris County with a piece in Fort Bend as well; Lawrence Allen, son of State Rep. Alma Allen and an unsuccessful candidate for HD26 in the Dem primary this year, is its incumbent. SBOE8 is a heavily Republican district with about half of its voters in Harris County and about a third in Montgomery County. It was won this year by Audrey Young over a Libertarian opponent, succeeding Barbara Cargill. Cargill was unopposed in 2016 and beat a Dem candidate in 2012 by a 71-29 margin, getting about 66% of the vote in Harris County. Like just about everywhere else, that part of the county is a lot less red than it used to be. SBOE6 was of course the focus of attention after Beto carried it in 2018. Biden fell a tad short of Beto’s mark, though Trump also fell short of Ted Cruz. No other Dem managed to win the vote there, with the range being about four to seven points for the Republicans, which does represent an improvement over 2018. Michelle Palmer lost by two points here, getting 47.38% of the vote (there was a Libertarian candidate as well; the victorious Republican got 49.76%), as the Dems won one of the three targeted, Beto-carried seats, in SBOE5. I presume the Republicans will have a plan to make the SBOE a 10-5 split in their favor again, but for now the one gain Dems made in a districted office was there.

I don’t think I’ve ever done a full accounting of State Senate districts in previous precinct analyses. Only three of the eight districts that include a piece of Harris County are entirely within Harris (SDs 06, 07, and 15; 13 extends into Fort Bend), and only SD17 is competitive. Beto and a couple of others carried SD17 in 2018 – I don’t have the full numbers for it now, but Rita Lucido won the Harris County portion of SD17 by a 49.4-48.8 margin in 2018, and every Dem except Kathy Cheng won SD17 this year, with everyone else except Gisela Triana exceeding Lucido’s total or margin or both. An awful lot of HD134 is in SD17, so this is just another illustration of HD134’s Democratic shift.

The other interesting district here is SD07, which Dan Patrick won by a 68.4-31.6 margin in 2012, and Paul Bettencourt won by a 57.8-40.3 margin in 2018. Every Dem had a smaller gap than that this year, with most of them bettering David Romero’s percentage from 2018, and Biden losing by just over ten points. It would be really interesting to see how this district trended over the next decade if we just kept the same lines as we have now, but we will get new lines, so the question becomes “do the Republicans try to shore up SD07”, and if so how? SD17 is clearly the higher priority, and while you could probably leave SD07 close to what it is now, with just a population adjustment, it doesn’t have much spare capacity. If there’s a lesson for Republicans from the 2011 redistricting experience, it’s that they have to think in ten-year terms, and that’s a very hard thing to do. We’ll see how they approach it.

Precinct analysis: Comparing to 2012 and 2016

Dec 14th, 2020
by Charles Kuffner.
4 comments

Introduction
Congressional districts
State Rep districts
Commissioners Court/JP precincts

I had meant to get to this last week, but SeditionPalooza took up too much of my time, so here we are. The intent of this post is to compare vote totals in each of the State Rep districts from 2012 to 2016, from 2016 to 2020, and from 2012 to 2020. The vote totals compared are from the Presidential and Railroad Commissioner races for each of these years, and for the Senate races from 2012 and 2020, as there was no Senate race in 2016.

President 

								
Dist   12-16 R   12-16D   16-20R   16-20D   12-20R   12-20D
===========================================================
HD126   -3,207    5,285    6,100    9,611    2,893   14,896
HD127     -931    6,042    8,547   12,707    7,616   18,749
HD128      124    2,272    8,728    6,208    8,852    8,480
HD129   -3,226    5,992    8,844   11,033    5,618   17,025
HD130    2,216    6,749   14,229   13,325   16,445   20,074
HD131     -649    2,707    4,306    6,683    3,657    9,390
HD132    3,065   10,267   15,786   20,304   18,851   30,571
HD133   -7,791    8,688    5,592   12,018   -2,199   20,706
HD134  -10,938   15,346    6,692   17,904   -4,246   33,250
HD135   -2,571    6,505    6,664   11,473    4,093   17,978
HD137     -537    2,443    2,451    4,167    1,914    6,610
HD138   -2,804    6,451    6,537    9,433    3,733   15,884
HD139   -1,294    1,187    4,847    6,854    3,553    8,041
HD140     -733    4,416    4,146    1,855    3,413    6,271
HD141      222     -681    2,604    4,453    2,826    3,772
HD142      290    2,084    4,703    8,880    4,993   10,964
HD143   -1,042    3,226    4,500    1,495    3,458    4,721
HD144   -1,039    3,561    4,057    1,523    3,018    5,084
HD145   -1,291    5,594    5,310    5,088    4,019   10,682
HD146   -1,633     -884    2,459    6,864      826    5,980
HD147   -1,272    3,583    4,602    9,933    3,330   13,516
HD148   -1,489    8,544    5,634   10,180    4,145   18,724
HD149   -3,879    3,420    8,154    4,696    4,275    8,116
HD150      503    8,228   10,180   15,037   10,683   23,265
							
Total  -39,906  121,025  155,672  211,724  115,766  332,749

Senate 

	
Dist    12-20R   12-20D
=======================
HD126    3,705   13,479
HD127    8,876   16,687
HD128    8,999    7,330
HD129    7,238   14,684
HD130   18,113   17,564
HD131    3,413    8,389
HD132   19,527   28,278
HD133    2,610   16,268
HD134    3,330   27,237
HD135    4,898   16,279
HD137    2,129    6,023
HD138    4,594   14,227
HD139    3,602    6,608
HD140    2,611    5,499
HD141    2,460    2,779
HD142    4,903    9,702
HD143    2,619    4,082
HD144    2,577    4,485
HD145    3,562   10,103
HD146    1,337    4,811
HD147    4,019   12,164
HD148    5,762   16,497
HD149    4,282    7,157
HD150   11,865   20,878
		
Total  137,031  291,210

RRC 

								
Dist   12-16 R   12-16D   16-20R   16-20D   12-20R   12-20D
===========================================================
HD126   -1,676    3,559    4,735   10,131    3,059   13,690
HD127    1,006    4,180    6,933   13,217    7,939   17,397
HD128      989    1,200    7,749    6,681    8,738    7,881
HD129   -1,550    3,595    7,325   12,422    5,775   16,017
HD130    4,403    4,540   13,107   12,954   17,510   17,494
HD131     -465    1,814    3,419    6,824    2,954    8,638
HD132    4,638    8,171   14,267   19,768   18,905   27,939
HD133   -4,382    3,417    5,039   14,285      657   17,702
HD134   -5,177    6,106    5,497   23,976      320   30,082
HD135   -1,163    4,634    5,398   11,950    4,235   16,584
HD137     -132    1,538    1,929    4,571    1,797    6,109
HD138   -1,483    4,248    5,378   10,328    3,895   14,576
HD139     -551      -83    3,837    7,033    3,286    6,950
HD140     -321    2,969    2,874    2,855    2,553    5,824
HD141      181     -896    2,165    3,773    2,346    2,877
HD142      844    1,204    3,814    8,568    4,658    9,772
HD143     -550    1,586    3,148    2,910    2,598    4,496
HD144     -530    2,677    2,993    2,255    2,463    4,932
HD145     -531    3,369    3,983    7,142    3,452   10,511
HD146   -1,047   -2,256    1,853    7,402      806    5,146
HD147      104      536    3,510   11,837    3,614   12,373
HD148      665    4,416    4,945   12,352    5,610   16,768
HD149   -3,089    2,133    6,698    5,331    3,609    7,464
HD150    2,552    6,010    8,826   14,942   11,378   20,952
								
Total   -7,265   68,667  129,422  233,507  122,157  302,174

The columns represent the difference in vote total for the given period and party, so “12-16” means 2012 to 2016, “16-20” means 2016 to 2020, and “12-20” means 2012 to 2020. Each column has a D or an R in it, so “12-16R” 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 “-3,207” for HD126 in the “12-16R” column for President means that Donald Trump got 3,207 fewer votes in HD126 than Mitt Romney got, and the “5,285” for HD126 in the “12-16D” column for President means that Hillary Clinton got 5,285 more votes than Barack Obama got. Clear? I hope so.

Note that there were 130K more votes cast in Harris County as a whole in 2016 than there were in 2012, and 320K more votes cast in the county in 2020 over 2016, which makes a grand total of 450K more votes in 2020 than 2012. Some districts grow faster than others, but as a general rule given the overall totals you should expect increases in each district to some extent.

I have left percentages and third party totals out of this discussion. As I have shown before, tracking changes in vote percentages can give a misleading view of whether the actual gap is growing or narrowing, and by how much. I also want to emphasize that in 2012, Harris County was very much a 50-50 proposition, and now it is very much not. Doing it this way help illustrate how and where that has happened, and by how much.

And yet, with all that said, I’m going to start with an observation about percentages. In 2012, Mitt Romney got 60% or more of the vote in eight State Rep districts – HDs 126, 127, 128, 129, 130, 133, 138, and 150. Ted Cruz, running for Senate against Paul Sadler, got 60% or more of the vote in ten State Rep districts, the same eight as Romney plus HDs 132 and 135 – yes, the same 132 and 135 that Dems won in 2018. I didn’t publish an analysis of the RRC race from that year, but a review of the spreadsheet that I created at the time confirmed that Christi Craddick, running against Dale Henry, got 60% or more of the vote in eleven State Rep districts, the same ten as Cruz plus HD134. In other words, every single Republican-held State Rep district in Harris County in 2012 was at least a 60% Republican district in the Railroad Commissioner race. Mitt Romney, it should be noted, just missed getting to 60% in HDs 132 and 135, and was over 57% in HD134, as was Cruz. (Let’s just say Cruz fell way short of that mark in 2018.)

You can see how much the vote totals shifted at the Presidential level from 2012 to 2016. Trump got nearly 40K fewer votes than Romney, a combination of crossovers, third-party and write-in voting, and just the gentle degradation of the Republican brand, as you can see by Wayne Christian’s reduced vote totals from Christie Craddick. Still, in 2016, Donald Trump scored 60% or more of the vote in three State Rep districts: HDs 127, 128, and 130. In 2016, Wayne Christian, running for RRC against Grady Yarbrough, scored 60% or more of the vote in four State Rep districts: the three that Trump got plus HD150. And finally, in 2016, Eva Guzman, running for State Supreme Court, scored 60% or more of the vote in six State Rep districts: the four Christian got plus HDs 129 and 133. HDs 132 and 135 were clearly competitive at the Presidential level – Trump won 132 by four points and 135 by two points; he also lost HD138 by a hair. He lost votes compared to Romney in 18 of 24 districts.

It is certainly true that Republicans in general and Donald Trump in particular did better in 2020 than most people expected them to do – surely, they did better than I expected them to do. Trump gained 155K votes over his 2016 total, which put 2020 Trump more than 100K votes ahead of Mitt Romney. Even though Joe Biden gained 211K votes over Hillary Clinton, for a net gain of 56K, Trump had net gains on Biden in seven districts – HDs 128, 130, 140, 143, 144, 145, and 149, with the latter five being Democratic districts and four of the five being Latino. Still, Dems had a net gain from 2012 to 2020 in every district except HD128, and some of those gains were truly huge – just look at 133 and 134, for starters. And Trump’s gains in the Dem districts largely melted away by the time you got to the RRC race, with Chrysta Castaneda coming close to matching Jim Wright’s increases in 140, 143, and 144, and far exceeding him in 145. It’s hard to say from this what if any staying power the Trump gains may have, though Dems should be paying close attention to what happened there regardless.

Anyway, back to the percentages: In 2020, Donald Trump, John Cornyn, and Jim Wright scored 60% or more of the vote in two State Rep districts: HDs 128 and 130. The only statewide Republicans to score 60% or more in a third State Rep district were the statewide judicial candidates who did not have a Libertarian opponent – Jane Bland, Bert Richardson, Kevin Patrick, and David Newell – who also reached that level in HD127. I haven’t published the statewide judicial race analysis yet so you’ll have to take my word for it for now, but in any event I trust you see the pattern. This is what I mean when I say that Republicans just don’t have any spare capacity in Harris County, and that will present problems for them in redistricting. Look at the numbers in districts like 126 and 129 and 133 and 150 in 2020, and compare them to the numbers in 132 and 135 and 138 in 2012. Where do you think things are going to be in another couple of cycles?

I’ve thrown a lot of words and numbers at you, so I’ll wrap it up here. I hope this helps illustrate what I’ve been saying, about how Dem gains have largely come from huge steps forward in formerly Republican turf, and how there’s still very much room for Dems to improve in their strongholds. We need to keep building on our gains from this past decade as we proceed into the 20s. I’ll have a look at the statewide judicial races next. Let me know what you think.

Beware color-coded county maps

Nov 22nd, 2020
by Charles Kuffner.
Comments are off for this post

I spotted this on Twitter the other day and it got me thinking:

A larger view of the embedded image is here. It was just barely large enough that I was able to compare it to my now-favorite map of Texas counties and figure out what most of those blue places are. (I didn’t work my way through all of them, for various reasons that included my eyesight and my sanity.) I snagged the Texas portion of that image, pasted it into Paint, doubled it in size, and then labeled some of the counties of interest. My handiwork, such as it is, is here. Take a look at that for a minute, then let’s come back and discuss the two main problems with imagery of this kind.

Ready? Problem number one is that you don’t get any sense of the absolute size of the shift, in either direction, from this image. Harris County, which I feel confident you can find even though I have unkindly drawn lines through it to point to other counties of interest, is rendered in medium blue, to show a 10-20 point shift in preference. But that shift represents over 200,000 total votes in favor of Democrats. That didn’t just help to carve into the overall vote lead that Republicans have had in the state, it has enabled Democrats to entirely flip county government, including the judiciary and numerous appellate benches, while also netting a Congressional seat and two State Rep seats. Contrast that to Starr County, which has gotten so much attention and which is among the dark red counties along the southern border, which moved about eight thousand votes towards Republicans. That shift was more significant at the Presidential level, by the way – it’s a bit less than a five thousand vote shift in the Senate and Railroad Commissioner races. Not nothing, and definitely a cause for concern for Democrats, but nowhere close to as substantial as the shift in Harris County. But you would never know that, and the color coding makes it even more misleading.

Problem two is related to problem one but manifests itself in a slightly different way. That problem is that this shift is about the percentage difference between 2012 and 2020. Before I get to the specifics, let me try to explain why this gives a distorted description of the problem with a sports example. Suppose the Texans are playing the Ravens. At the end of the first quarter, the Ravens lead 14-7, which is to say that the Ravens have scored 66.7% of the points in the game. In the second quarter, the Ravens score another touchdown and also add a field goal, while the Texans score a touchdown. That makes the score 24-14 at halftime, and it means that the Ravens scored only 58.9% of the points in the second quarter. Which, if you go by the math used in Nate Cohn’s map, a fifteen-point shift in the Texans’ favor – they went from being down 33 points in the first quarter to being down only eighteen points in the second quarter. Look at them mounting a comeback!

Except of course that on the actual scoreboard, the Ravens have extended their lead from seven points to ten points. The rate by which they are increasing their lead has slowed, but their lead is still growing. The Texans now have a larger deficit to overcome. Perhaps the trends are now in their favor, but the bottom line is that they’re still farther behind than they were before.

All that is why you should look at the light blue shift in Montgomery County, for example, with a cocked eyebrow. It is true, in 2012 Mitt Romney took 79.7% of the vote in Montgomery County to Barack Obama’s 19.0%, for a sixty point lead, while Donald Trump carried Montgomery by a mere 44 points, 71.2 to 27.4. But as we have discussed before, that translated into another 14K net votes for Republicans at the top of the ticket. The Democrats’ deficit continues to grow even as the Republicans’ rate of acceleration has declined. It’s comfort of the coldest kind. The same is very much true for Parker and Johnson counties, and for counties we have not yet discussed, like Comal and Medina and Ector and Midland.

It’s not all gloom and doom. In some places where the deficit increased, the rate of that increase dropped a lot, to the point where you could imagine it turning around in the next election. Lubbock County is an example of that – again, I’ll be going into that in more detail in a later post. In some counties, like Caldwell and Bastrop, there was actually a small gain between 2016 and 2020 after a bigger drop from 2012 to 2016, so while the overall gap is still significant, the direction is what you want. Imagine the Texans winning the second quarter of our game 7-6, so that they now trail 20-14. Denton and Collin counties, which are dark blue in the Cohn map, are the canonical examples here, though Brazos County makes a nice showing as well. We’re still trailing, but you can see how we get to the lead from here.

I don’t want you to look too skeptically at every blue spot that isn’t immediately identifiable as a Dem beacon. Dems really don’t need to win too many counties to carry Texas some fine day, because of their massive advantage in the biggest counties. We don’t need Montgomery County to turn blue to win the state. We don’t even need it to be on a path to turning blue. We just need the gap between Republicans and Democrats to quit growing, and maybe shrink a little. One way we were able to turn Harris County blue was that we could rally Democrats in heavily Republican areas because they knew their votes were important to flipping (and now maintaining) the county as a Democratic bastion. In Montgomery, that task is abstracted out one level further – there aren’t any local candidates who are likely to win, at a district or county level, so the motivation has to come from your votes mattering at the state level. It’s a heavier lift, since those statewide candidates won’t be as well known locally and will likely not spend much if any time there campaigning, and I have tons of respect for the effort made in spite of those conditions. We need that in more places around the state.

Again, we have discussed some of this before, and will discuss it again soon. I’m now thinking I need to adapt my Presidential-level vote series on “surrounding counties” to the Senate and other statewide races. That ought to keep me busy for the next few weeks.

Before we go, one more example that highlights both of the issues I have identified in this post. Take a look at King County, east of Lubbock and north of Abilene (Taylor County). Who would have expected a blue shift in a place like that? Well, here are the numbers for King County in 2012 and 2020:


Romney  Obama  Romney%  Obama%  Margin
======================================
   139      5    95.9%    3.5%    92.4

 Trump  Biden   Trump%  Biden%  Margin
======================================
   151      8    95.0%    5.0%    90.0

There was one vote in 2012 for Libertarian Gary Johnson, and no third-party or write-in votes in 2020. This is what a “blue shift” in King County looks like. I’m sure I’m as impressed as you are.

The “blue spine” and the rural counties

Nov 15th, 2020
by Charles Kuffner.
3 comments

Point:

For the third consecutive election cycle, Democrats saw their advantage over Republicans grow in the 21 counties along Interstate 35, allowing them to further chip into the Republican dominance that has lasted for nearly three decades. The result was Joe Biden won over 46 percent of the vote in Texas, joining Texas native Lyndon Johnson and Jimmy Carter as the only Democrats to get over 45 percent of the vote in Texas in a presidential race in 56 years.

A key reason for Biden’s performance in Texas is what is happening along I-35 from Laredo, through San Antonio and Austin and up to the Dallas Metroplex.

It’s not a mystery. U.S. Census data shows a shift toward a more diverse, better educated and wealthier electorate since 2010, changes that favor Democrats.

Along I-35, Biden flipped traditionally red counties like Tarrant, Williamson and Hays, and did vastly better in Travis, Dallas and Bexar counties than Hillary Clinton did just four years earlier.

This is a major departure from the way Texans in those counties voted over the previous two decades. Back in 2014, U.S. Sen. John Cornyn, a Republican at the top of the ticket, won the same counties by a combined 346,000 votes.

Two years later. Clinton would win that stretch by just over 116,000 votes over President Donald Trump. Then 2018 Democratic U.S. Senate candidate Beto O’Rourke won it by 440,000 votes over U.S. Sen. Ted Cruz.

Biden pushed his lead in the blue spine this year to nearly 500,000 votes.

That is a swing of more than 800,000 votes from Republicans to Democrats and explains why, along with Harris County’s march to solid blue, the state has seen increasingly competitive races at the top of the ballot since George W. Bush won Texas by 22 percentage points in 2004.

I’ve covered some of this before, and there was a similar Trib story published at around the same time, because it’s fertile ground and a reminder that even in defeat, Dems have gained a lot of ground over the past decade. Disappointing as the results were this year, we shouldn’t forget that.

One more thing:

At the same time the I-35 corridor is getting more Democratic, Republicans are facing challenges with their base of support in West Texas and East Texas. Those regions simply are not growing as fast as I-35. In the Panhandle, the 27 counties with a combined 250,000 voters saw just a 4 percent increase in voter registrations over the last four years. But Hays and Williamson County, with a combined 500,000 voters, registrations have grown a combined 25 percent over the same period.

Also covered this, because the Republican strength in the rural areas is still quite formidable. Even if the longer-term trends are in the Dems’ favor – and as things stand now, they are – we could still be talking about a couple of Presidential cycles before the two lines intersect. The clearest way to speed that up is for the Dems to figure out how to narrow the gap in rural Texas rather than wait it out.

And so on that note, we have the counterpoint, about the Republican red wall in the many rural counties. This story was from the day before the election, so there wasn’t time to blog about it, but it contained this nugget that made me set the article aside and come back to it as part of my usual postmortem analysis.

Among Democrats, there’s optimism that Biden-backing allies in rural Texas could not only prevent Trump from recreating his overwhelming 2016 margins in white, working class areas, the kind of support that offset his losses in the suburbs and among voters of color four years ago, but also make Trump’s path to victory in Texas all the more difficult.

“I’m also seeing a pretty substantial uptick in folks volunteering with Democratic-adjacent organizations,” said Amy Hull, 42, who lives in Tarrant County. “It’s been interesting to see people who were pretty tuned out four years ago become unapologetic about their politics and determined to do everything possible to make our community, state and country government work better for everyone.”

Republicans could especially take heart in rural areas that have only grown more red in recent election cycles. Take for example Jones County, which includes part of Abilene and went for John McCain by 47 points in 2008, Mitt Romney by 55 points in 2012 and Trump by 65 points in 2016.

The county GOP chair, Isaac Castro, said there is “a lot more enthusiasm” for Trump in Jones County compared to four years ago, when some local Republicans had reservations about his conservative credentials.

“I really think that this year he’s probably going to do better,” Castro said, adding that he was not worried about Trump losing statewide. “You know, West Texas is going to be strong for him again.”

Here’s how the vote has gone in Jones County since 2008, updated to include this year:


Candidates    Votes     Pct
===========================
McCain        4,203  72.37%
Obama         1,528  26.31%
Margin        2,675  46.06%
Total         

Romney        4,262  76.56%
Obama         1,226  22.02%
Margin        3,036  54.54%
Total

Trump         4,819  80.86%
Clinton         936  15.70%
Margin        3,883  65.16%
Total        10,101

Trump         5,621  84.00%
Biden           989  14.78%
Margin        4,632  69.22%
Total         9,635

The SOS election returns pages did not list the total number of registered voters in Jones County in 2008 and 2012, so that figure is only there for the two most recent elections. The trend is clear, and it has netted the Republican Presidential candidate an extra two thousand votes since 2008, though as you can see Joe Biden at least added on to Hillary Clinton’s meager vote total from 2016. May not seem like much, but there are a lot of counties like Jones out there (keep that chart Michael Li posted in mind), and it all adds up.

I’m going to be taking a deeper dive into this over the next couple of weeks, so hopefully we will all become more familiar with this theme. I think there is room to improve for the Dems, which doesn’t mean winning these areas but being more competitive in them so as not to continue falling behind, but more importantly I think we have to improve in them. It’s easy to say that counties like Jones are running out of room to increase their Republican yield, but there’s no reason to think they’ve reached that point yet, and much of the low-hanging fruit in the big urban areas for Dems have been harvested, too. The first step is to make the commitment, and I’m going to do what I can to convince you that it needs to happen. Stay tuned.

So how did my simple projection work out?

Nov 12th, 2020
by Charles Kuffner.
2 comments

Remember this? I divided the counties up by how much their voter rolls had grown or shrunk since 2012, then used the 2016 turnout levels and 2018 results to project final numbers for the Presidential election in 2020. Now that we have those numbers, how did my little toy do? Let’s take a look.

A couple of things to acknowledge first. The most up to date voter registration numbers show that the group of counties that looked to have lost voters since 2012 have actually gained them, at least in the aggregate. Second, the actual turnout we got so far exceeded past numbers that we literally couldn’t have nailed this, at least not at a quantitative level. So with that in mind, let’s move forward.

We start with the counties that had seen growth of at least 10K voters on their rolls since 2012. There were 33 of these. Here are the numbers I had in my initial review, updated to include what happened this year.


Romney  3,270,387   Obama    2,792,800
Romney      53.9%   Obama        46.1%
Romney +  477,587

Trump   3,288,107   Clinton  3,394,436
Trump       49.2%   Clinton      50.8%
Trump  -  106,329

Cruz    3,022,932   Beto     3,585,385
Cruz        45.7%   Beto         54.3%
Cruz   -  562,453

Trump   4,119,402   Biden    4,579,144
Trump       47.4%   Biden        52.6%
Trump  -  459,742

Year  Total voters   Total votes   Turnout
==========================================
2012    10,442,191     6,157,687     59.0%
2016    11,760,590     7,029,306     59.8%
2018    12,403,704     6,662,143     53.7%
2020    13,296,048     8,765,774     65.9%

When I did the original post, there were 12,930,451 registered voters in these 33 counties. As you can see, and will see for the other groups, that increased between August and November, by quite a bit. As you can see, Trump did considerably worse than he had in 2016 with these counties, but better than Ted Cruz did in 2018. That says it all about why this race wasn’t as close as the Beto-Cruz race in 2018. My projection had assumed 2016-level turnout, but we obviously got more than that. Here’s what I had projected originally, and what we would have gotten if the 2020 results had been like the 2018 results from a partisan perspective:


Trump   3,533,711   Biden    4,198,699
Trump  -  664,988

Trump   3,975,236   Biden    4,723,310
Trump  -  748,074

Fair to say we missed the mark. We’ll see how much of a difference that would have made later. Now let’s look at the biggest group of counties, the 148 counties that gained some number of voters, from one to 9,999. Again, here are my projections, with the updated voter registration number:


Romney  1,117,383   Obama      415,647
Romney      72.9%   Obama        27.1%
Romney +  701,736

Trump   1,209,121   Clinton    393,004
Trump       75.5%   Clinton      24.5%
Trump  +  816,117

Cruz    1,075,232   Beto       381,010
Cruz        73.8%                26.2%
Cruz   +  694,222

Trump   1,496,148   Biden      501,234
Trump       74.0%   Biden        26.0%
Trump  +  994,914

Year  Total voters   Total votes   Turnout
==========================================
2012     2,686,872     1,551,613     57.7%
2016     2,829,110     1,653,858     58.5%
2018     2,884,466     1,466,446     50.8%
2020     3,112,474     2,022,490     65.0%

As discussed, there’s a whole lot of strong red counties in here – of the 148 counties in this group, Beto carried ten of them. They had 2,929,965 voters as of August. What had been my projection, and how’d it go here?


Trump   1,264,954   Biden      449,076
Trump  +  815,878

Trump   1,496,148   Biden      501,234
Trump  +  994,914

The margin is wider due to the higher turnout, but Biden actually did a little better by percentage than Clinton did, and was right in line with Beto. This is obviously an area of great need for improvement going forward, but the projection was more or less right on target, at least from a partisan performance perspective. But as you can see, even with the more optimistic projection for Biden, he’s already in the hole. Like I said, this is an area of urgent need for improvement going forward.

Now on to the last group, the 73 counties that had lost voters from 2012, at least going by the August numbers. As you can see, that turned out not to be fully true:


Romney     182,073   Obama      99,677
Romney       64.6%   Obama       35.4%
Romney +    82,396

Trump      187,819   Clinton    90,428
Trump        67.5%   Clinton     32.5%
Trump  +    97,391

Cruz       162,389   Beto       79,237
Cruz         67.2%   Beto        32.8%
Cruz   +    83,152

Trump      226,104   Biden     105,490
Trump        68.2%   Biden       31.8%
Trump  +   120,514

Year  Total voters   Total votes   Turnout
==========================================
2012       517,163       284,551     55.0%
2016       511,387       286,062     55.9%
2018       505,087       243,066     48.1%
2020       546,997       335,110     61.2%

As you can see, that decline in registrations has reversed, quite dramatically. I didn’t check each individual county – it seems likely that some of them are still at a net negative – but overall they are no longer in decline. Good for them. As you can also see, Biden performed a little worse than Clinton and Beto, but close enough for these purposes. Let’s compare the projection to the reality:


Trump      187,587   Biden      91,561
Trump +     96,026

Trump      226,104   Biden     105,490
Trump  +   120,514

Put the best-case scenario from the first group with what we got in the last two, and we could have had this:


Trump    5,697,488   Biden   5,330,034
Trump       51.67%   Biden      48.33%

Which is pretty close to what I had projected originally, just with a lot more voters now. The actual final result is 52.18% to 46.39%, so I’d say my method came closer to the real result than most of the polls did. Clearly, I missed my calling.

All this was done as an exercise in frivolity – as I said at the time, I made all kinds of assumptions in making this projection, and the main one about turnout level was way wrong. The point of this, I think, is to show that while Dems have indeed improved greatly in performance in the biggest counties, they haven’t done as well everywhere else, and while the marginal difference from Obama 2012 to Clinton 2016 and Biden 2020 isn’t much, the overall direction is wrong (even as Biden improved somewhat on the middle group over Clinton), and we’re going to have a real problem making further progress if we can’t figure out a way to improve our performance in these smaller counties. There is room to grow in the big and growing counties – these include some fast-growing and very red places like Montgomery and Comal, for instance – but we’re going to reach diminishing marginal growth soon, if we’re not already there. We need to step it up everywhere else. I’ll be returning to this theme as we go forward. Let me know what you think.

A comparison to 2012

Nov 8th, 2020
by Charles Kuffner.
2 comments

A lot of the takes on this election – and I’m guilty of this, too – involve comparisons to 2016 and 2018. That’s fair – those are the most recent elections, the only other elections that involve Trump, the patterns that we’ve been seeing had their start in 2016 and accelerated in 2018, which is what led to the inaccurate expectations for this year – but perhaps a slightly broader lens can help illuminate something that I think is being missed right now. So let’s cast our eyes all the way back to the ancient year of 2012, and see where we are today compared to then.

In 2012, Mitt Romney beat Barack Obama for President by 1,261,719 votes, and by nearly 17 percentage points. Donald Trump is leading Joe Biden by 648,690 votes, which is less than six percentage points. Joe Biden received 1,903,282 more votes than Obama did; Trump received 1,290,243 more votes than Romney did.

In 2012, Republicans won 95 seats in the State House; they would win 98 in 2014, and 95 again in 2016. Ninety-three of those were the same as in 2012; HD21 went red in 2014, and HD107 flipped blue in 2016. I know they’re doing a victory dance about holding onto the 83 seats they won in 2018, but it really needs to be emphasized that with this map that they drew, which gave them at least 95 seats in each of the first three elections where it was used, they were now topped out at 83.

In 2012, Republicans held 19 State Senate seats; they picked up a 20th in 2014. Today they hold 18. In 2012, Republicans held ten SBOE seats; they had won an 11th in 2010 but couldn’t hold it in a normal year. Today they hold nine. In 2012, Republicans held 24 Congressional seats. Today they hold 23. We certainly would have liked for that number to be lower, and we felt we had reasons to believe it would be lower, but it is still lower than it was in 2012.

In 2012 in Harris County, Republicans held all of the county court benches, most of the district court benches, all but one of the First and 14th Courts of Appeals benches (the one held by Dems, which had been won in 2008, would be lost in 2014), four out of five seats on Commissioners Court, and all of the following executive offices: District Attorney, County Clerk, Tax Assessor, District Clerk, Treasurer. Today, Democrats hold all of the county court and district court benches, about half of the appeals court benches, three out of the five seats on Commissioners Court, and all of the executive offices.

You can tell a similar story in Fort Bend County, where Dems now hold a three-out-of-five seat majority on Commissioners Court, and all of the executive seats and judicial positions that had a Democrat running for them in 2018 or 2020.

We can talk about other counties, like Williamson and Tarrant, but you get the idea. I don’t want to downplay the issues that Democrats face, or the disconnect between our goals for 2020 and our accomplishments, but I do want to point out that we’ve come a long way in eight years. We shouldn’t lose sight of that.

CD03 poll: Taylor 44, Seikaly 43

Sep 20th, 2020
by Charles Kuffner.
Comments are off for this post

From Nate Cohn:

All we get is Twitter for this one, any other info about the poll is behind the National Journal paywall. It’s in line with an earlier poll that had Taylor leading 43-37 and Biden up by two in the district. Seikaly’s improved performance is likely due to greater name recognition at this stage of the campaign.

I can’t analyze the poll in any meaningful way, but I can add some context to Nate Cohn’s assertion that if Biden carries CD03 he’s likely to have won Texas. Here’s a review of recent elections:

In 2012, Mitt Romney carried CD03 by a 64.2-34.1 margin, as he won the state 57.2 to 41.2.

In 2016, Donald Trump carried CD03 by a 53.8 to 39.9 margin, as he won the state 52.2 to 43.2.

In 2018, Ted Cruz carried CD03 by a 51.3 to 47.9 margin, as he won the state 50.9 to 48.3.

As you can see, CD03 was more Republican than the state as a whole, though that margin had narrowed by 2018. But if the pattern of CD03 being more Republican than the state overall holds, then it’s trivial to see that a Democrat winning in CD03 would also win statewide.

That comes with a raft of assumptions, of course. Maybe CD03 will be less Republican than the state this year. It’s been trending in that direction, and as a heavily suburban and college-educated district, that trend should continue. Perhaps this year the lines will intersect, and a Dem running in CD03 will have to win it by a certain margin in order to be able to win the state. If Biden really is winning CD03 by three points, you’d think that would be enough slack for him.

There’s one more piece of objective evidence that both this district, and by implication the state as a whole, is perhaps doing better for the Democrats than people realize:

Those are the three districts most recently added by the DCCC to their target list. You might say, the DCCC is in the business of talking up opportunities, so why should we take this as anything more than hype? Mostly because the DCCC already had its hands full in Texas – those three districts came after seven others currently held by Republicans, plus the two where Dems are playing defense. The DCCC is going to prioritize the districts where it thinks it can win, both to maximize its resources and keep its donors (and members) happy. They’re not going to go off on flights of fancy. It may be on the optimistic end of their spectrum, but if they believe there’s action there, you can expect there is.

CD31 poll: Carter 43, Imam 37

Sep 14th, 2020
by Charles Kuffner.
1 comment

Another interesting Congressional race poll.

Donna Imam

With less than two months to go until Election Day, an increasing number of eyes are looking toward Texas, where Republicans are fighting to keep their grip on the once-reliably conservative state.

There is perhaps no better sign of Texas’ shift toward Democrats than what’s happening in the state’s 31st Congressional District. The previously deep red district north of Austin has shifted dramatically in recent years, and a new poll obtained exclusively by COURIER shows incumbent Rep. John Carter (R-Texas) is vulnerable.

The poll, conducted by Public Policy Polling (PPP), found Carter leading challenger Donna Imam by only six points, 43-37 among 831 voters in the district. Libertarian Clark Patterson and Independent Jeremy Bravo tallied 10% of the vote combined, while 11% of voters remained undecided.

Imam performs particularly well with independent voters, leading Carter 44-28. She also appears to have significant room to grow, as 53% of voters said they were unsure whether or not they had a favorable opinion about her.

The poll also surveyed voters on the presidential race and found that President Donald Trump holds a narrow one-point lead (48-47) over Democratic nominee Joe Biden, a substantial shift from 2016 when Trump won the district 54-41.

[…]

While Democrats have set their eyes on several prizes across the state, the recent blue shift in the 31st has been particularly notable. Between 2002 and 2016, Carter won each of his elections by at least 20 points. But in 2018, Carter faced the fight of his career and narrowly edged out his Democratic challenger, MJ Hegar, by only three points. Hegar is now challenging Cornyn and finds herself down only 2 points in the district (48-46), according to the PPP poll.

You can see the poll data here. It’s a solid result in a district where Beto got 48.4% of the vote. Hegar ran just a shade behind Beto – he lost to Ted Cruz 50.5 to 48.4, while Hegar lost 47.6 to 50.6 – and this district has been on the radar for the DCCC (and for the Republicans, and for the national race-raters) from the beginning of the cycle. The problem has been finding a standout candidate, as there was a rotating cast of players in the primary, with nobody raising any money or making much noise until the runoff, when Imam finally started to edge forward. She still has to establish herself as a fundraiser – the DCCC is in town, but they’ve got plenty of fish to fry. I’ll be very interested in Imam’s Q3 finance report.

This poll is reminiscent of the polling in CD21, another near-miss district from 2018 with a similar demographic profile. In 2018, Joe Kopser lost to Chip Roy 50.2 to 47.6, Beto lost the district by a tenth of a point, and in 2016 Hillary Clinton lost it to Donald Trump 52-42. These latest polls have Biden up by one in CD21 and down by one in CD31, consistent with statewide polling that has Texas as a real tossup.

They key here has been the shift in voter preferences in Williamson County, which comprises a bit more than two-thirds of the district. Here’s how the Williamson County vote has gone in recent elections:


2012       Votes    Pct
=======================
Romney    97,006  59.4%
Obama     61,875  37.9%

Cruz      92,034  57.3%
Sadler    60,279  37.5%

Carter    96,842  60.9%
Wyman     55,111  34.6%


2016       Votes    Pct
=======================
Trump    104,175  51.3%
Clinton   84,468  41.6%

Carter   112,841  56.8%
Clark     74,914  37.7%


2018       Votes    Pct
=======================
Cruz      99,857  48.0%
Beto     105,850  50.8%

Abbott   112,214  54.1%
Valdez    90,002  43.4%

Patrick  101,545  49.2%
Collier   98,375  47.6%

Paxton    98,175  47.7%
Nelson   100,345  48.7%

Carter    99,648  48.2%
Hegar    103,155  49.9%

The story of 2018 was of the huge gains Democrats made in suburban areas like Williamson, but the thing here is that Dems gained about as many votes from 2012 to 2016 as they did from 2016 to 2018, with Republicans barely growing their vote at all outside of a couple of races. It wasn’t so much a shift as an acceleration, and it took WilCo from being on the fringes of competitiveness, where you could see it off in the distance from the vantage point of 2016 but figured it was still a few cycles away, to being a true swing district just two years later. If Dems can even come close to replicating that kind of growth in 2020, then CD31 is likely being undersold as a pickup opportunity. Obviously, the pandemic and the ambient chaos and pretty much everything else is a variable we can’t easily quantify. But the numbers are right there, so if CD31 does go Dem, we can’t say we didn’t see it coming.

One more thing: That 10% total for the Libertarian and independent candidates combined is almost certainly way too high. Libertarian candidates actually do pretty well overall in this district. The Lib Congressional candidate in 2012 got 3.7%, while a couple of statewide judicial candidates in races that also had a Democrat topped five percent. In 2016, the Libertarian in CD31 got 5.2%, with Mark Miller getting 7.1% in the Railroad Commissioner’s race. They didn’t do quite as well in 2018, however, with the Congressional candidate getting 1.9%, and the high water mark of 4.1% being hit in the Land Commissioner’s race. I’d contend that’s a combination of better Democratic candidates, with more nominal Republicans moving from casting a “none of the above” protest vote to actually going Dem. My guess is 2020 will be more like 2018 than 2016 or 2012, but we’ll see. In any event, I’d put the over/under for the two “other” candidates at five, not at ten. The Texas Signal has more.

A very simple projection of the November vote

Aug 31st, 2020
by Charles Kuffner.
4 comments

In my earlier post about the current state of voter registrations, I noted that you could see the county-by-county totals in the contest details for the Senate runoff. What that also means is that if you have current (till now, anyway) voter registration totals, you can do a comparison across the counties of where voter registration totals have gone up the most, and how the vote has shifted in recent elections. In doing so, you can come up with a simple way to project what the 2020 vote might look like.

So, naturally, I did that. Let me walk you through the steps.

First, I used the 2020 runoff results data to get current registration totals per county. I put that into a spreadsheet with county-by-county results from the 2012 and 2016 Presidential elections and the 2018 Senate election to calculate total voter registration changes from each year to 2020. I then sorted by net change since 2012, and grouped the 254 counties into three buckets: Counties that had a net increase of at least 10,000 voters since 2012, counties that had a net increase of less than 10,000 voters since 2012, and counties that have lost voters since 2012. From there, I looked at the top race for each year.

First, here are the 2012 big gain counties. There were 33 of these counties, with a net gain of +2,488,260 registered voters as of July 2020.


Romney  3,270,387   Obama    2,792,800
Romney      53.9%   Obama        46.1%
Romney +  477,587

Trump   3,288,107   Clinton  3,394,436
Trump       49.2%   Clinton      50.8%
Trump  -  106,329

Cruz    3,022,932   Beto     3,585,385
Cruz        45.7%   Beto         54.3%
Cruz   -  562,453

Year  Total voters   Total votes   Turnout
==========================================
2012    10,442,191     6,157,687     59.0%
2016    11,760,590     7,029,306     59.8%
2018    12,403,704     6,662,143     53.7%
2020    12,930,451

The shift in voting behavior here is obvious. Hillary Clinton did much better in the larger, growing counties in 2016 than Barack Obama had done in 2012, and Beto O’Rourke turbo-charged that pattern. I have made this point before, but it really bears repeating: In these growing counties, Ted Cruz did literally a million votes worse than Mitt Romney did. And please note, these aren’t just the big urban counties – there are only seven such counties, after all – nor are they all Democratic. This list contains such heavily Republican places as Montgomery, Comal, Parker, Smith, Lubbock, Ector, Midland, Randall, Ellis, Rockwall, and Kaufman. The thing to keep in mind is that while Beto still lost by a lot in those counties, he lost by less in them than Hillary Clinton did, and a lot less than Obama did. Beto uniformly received more votes in those counties than Clinton did, and Cruz received fewer than Trump and Romney.

Here’s where we do the projection part. Let’s assume that in 2020 these counties have 59.8% turnout at 2018 partisan percentages, which is to say Biden wins the two-party vote 54.3% to 45.7% for Trump. At 59.8% turnout there would be 7,732,410 voters, which gives us this result:


Trump   3,533,711   Biden    4,198,699
Trump  -  664,988

In other words, Biden gains 100K votes over what Beto did in 2018. If you’re now thinking “but Beto lost by 200K”, hold that thought.

Now let’s look at the 2012 small gain counties, the ones that gained anywhere from eight voters to 9,635 voters from 2012. There are a lot of these, 148 counties in all, but because their gains were modest the total change is +243,093 RVs in 2020. Here’s how those election results looked:


Romney  1,117,383   Obama      415,647
Romney      72.9%   Obama        27.1%
Romney +  701,736

Trump   1,209,121   Clinton    393,004
Trump       75.5%   Clinton      24.5%
Trump  +  816,117

Cruz    1,075,232   Beto       381,010
Cruz        73.8%                26.2%
Cruz   +  694,222

Year  Total voters   Total votes   Turnout
==========================================
2012     2,686,872     1,551,613     57.7%
2016     2,829,110     1,653,858     58.5%
2018     2,884,466     1,466,446     50.8%
2020     2,929,965

Obviously, very red. Beto carried a grand total of ten of these 148 counties: Starr, Willacy, Reeves, Jim Wells, Zapata, Val Verde, Kleberg, La Salle, Dimmit, and Jim Hogg. This is a lot of rural turf, and as we can see Trump did better here than Romney did, both in terms of percentage and net margin. Ted Cruz was a tiny bit behind Romney on margin, but did slightly better in percentage. The overall decline in turnout held Cruz back.

Once again, we project. Assume 58.5% turnout at 2018 partisan percentages. That gives us 1,714,030 voters for the following result:


Trump   1,264,954   Biden      449,076
Trump  +  815,878

Trump winds up with the same margin as he did in 2016, as the 2018 partisan mix helps Biden not fall farther behind. Trump is now in the lead by about 150K votes.

Finally, the counties that have had a net loss of registered voters since 2012. There were 73 such counties, and a net -17,793 RVs in 2020.


Romney     182,073   Obama      99,677
Romney       64.6%   Obama       35.4%
Romney +    82,396

Trump      187,819   Clinton    90,428
Trump        67.5%   Clinton     32.5%
Trump +     97,391

Cruz       162,389   Beto       79,237
Cruz         67.2%   Beto        32.8%
Cruz +      83,152

Year  Total voters   Total votes   Turnout
==========================================
2012       517,163       284,551     55.0%
2016       511,387       286,062     55.9%
2018       505,087       243,066     48.1%
2020       499,370

Again, mostly rural and again pretty red. The counties that Beto won were Culberson, Presidio, Jefferson (easily the biggest county in this group; Beto was just over 50% here, as Clinton had been, while Obama was just under 50%), Zavala, Duval, Brooks, and Frio.

Assume 55.9% turnout at 2018 partisan percentages, and for 277,148 voters we get:


Trump      187,587   Biden      91,561
Trump +     96,026

Again, basically what Trump did in 2016. Add it all up, and the result is:


Trump    5,012,802   Biden    4,770,351
Trump       51.24%   Biden       48.76%

That’s actually quite close to the Economist projection for Texas. If you’re now thinking “wait, you walked me through all these numbers to tell me that Trump’s gonna win Texas, why did we bother?”, let me remind you of the assumptions we made in making this projection:

1. Turnout levels would be equal to the 2016 election, while the partisan splits would be the same as 2018. There’s no reason why turnout can’t be higher in 2020 than it was in 2016, and there’s also no reason why the Democratic growth in those top 33 counties can’t continue apace.

2. Implicit in all this is that turnout in each individual county within their given bucket is the same. That’s obviously not how it works in real life, and it’s why GOTV efforts are so critical. If you recall my post about Harris County’s plans to make voting easier this November, County Clerk Chris Hollins suggests we could see up to 1.7 million votes cast here. That’s 360K more voters than there were in 2016, and 500K more than in 2018. It’s over 70% turnout in Harris County at current registration numbers. Had Beto had that level of turnout, at the same partisan percentages, he’d have netted an additional 85K votes in Harris. Obviously, other counties can and will try to boost turnout as well, and Republicans are going to vote in higher numbers, too. My point is, the potential is there for a lot more votes, in particular a lot more Democratic votes, to be cast.

Remember, this is all intended as a very simple projection of the vote. Lots of things that I haven’t taken into account can affect what happens. All this should give you some confidence in the polling results for Texas, and it should remind you of where the work needs to be done, and what the path to victory is.

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