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Precinct analysis: State House district changes by demography

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.

Does getting to 40% make you likely to win the runoff?

Anna Eastman

I was talking with some fellow political nerds last week, and one of the topics was the forthcoming runoffs. As is usually the case, this year we have some runoffs between candidates who finished fairly close together in round one, and some in which one candidate has a clear lead based on the initial election. The consensus we had was that candidates in the latter category, especially those who topped 40% on Super Tuesday, are basically locks to win in May. The only counter-example we could think of off the tops of our heads was Borris Miles beating Al Edwards, who had been at 48%, in the 2006 runoff for HD146.

So, later on I spent a few minutes on the Secretary of State election archive pages, looking through past Democratic primary results and tracking those where the leader had more than forty percent to see who went on to win in the runoff. Here’s what I found:

2018

Winners – CD03, CD10, CD23, CD31, Governor, SD17,
Losers – CD27, HD37, HD45, HD64, HD109*, HD133*

2016

Winners – CD15, HD27
Losers – SBOE6

2014

Winners – Senate, SBOE13
Losers – HD105

2012
Winners – CD34, HD95, HD137
Losers – CD23*, SBOE2

2010
Winners – CD10, HD76*

2008
Winners – CD32, RRC

2006
Winners – Senate, Lt Gov, HD42, HD47*
Losers – HD146

In each of the cited races, the leading candidate had at least 40% of the primary vote. Races that have asterisks indicate that the runnerup also had at least 40%. As you can see, up until 2018, having forty percent or more in the primary was indeed a pretty good indicator of success in overtime. The last cycle provided quite a few counterexamples, however, including one incumbent (Rene Oliveira, who had been busted for a DWI earlier) who went down. So maybe 40% isn’t such a magical number, or maybe it’s harder now than it was before 2012. Or maybe this is just a really small sample and we should be careful about drawing broad conclusions from it.

Fortunately, we have quite a few races this year to add to this sample:

CD03 – Lulu Seikaly 44.5%, Sean McCaffity 43.8%
CD10 – Mike Siegel 44.0%, Pritesh Gandhi 33.1%
CD13 – Gus Trujillo 42.2%, Greg Sagan 34.7%
CD17 – Rick Kennedy 47.9%, David Jaramillo 35.0%
CD24 – Kim Olson 40.9%, Candace Valenzuela 30.4%
SBOE6 – Michelle Palmer 46.8%, Kimberly McLeod 34.6%
SD19 – Xochil Pena Rodriguez 43.7%, Roland Gutierrez 37.3%
SD27 – Eddie Lucio 49.8%, Sara Stapleton-Barrera 35.6%
HD119 – Liz Campos 46.1%, Jennifer Ramos 43.7%
HD138 – Akilah Bacy 46.7, Jenifer Pool 29.3%
HD142 – Harold Dutton 45.2%, Jerry Davis 25.3%
HD148 – Anna Eastman 41.6%, Penny Shaw 22.1%
138th District Court – Gabby Garcia 48.0%, Helen Delgadillo 31.0%
164th District Court – Cheryl Elliott Thornton 41.3%, Alexandra Smoots-Thomas 33.1%

I’ll be sure to do an update in May, when we can see if the leading candidates mostly held serve or not. Place your bets.

Precinct analysis: Abbott versus Perry in Latino districts

District level election data for 2014 has been available for a few weeks now. Seems like as good a time as any to return to a favorite topic, namely how Greg Abbott did in heavily Latino areas. An exit poll from November claimed Abbott drew 44% of the Latino vote, which would be a very impressive accomplishment. My complaint whenever I read a story like that is that no one ever bothers to go back and check the actual election results later to see if that kind of number makes sense. No one but me, of course, because I’m a crank about that sort of thing. Now that we have this data, how does it look? Here’s a comparison to Rick Perry in 2010 in the most heavily Latino districts:

Dist SSVR% Perry Abbott ============================= 031 76.46% 42.01% 44.80% 035 76.58% 37.19% 39.11% 036 87.34% 29.55% 31.21% 037 81.21% 36.96% 38.13% 038 80.92% 39.11% 40.39% 039 85.14% 27.03% 32.12% 040 88.14% 25.37% 28.59% 041 71.98% 46.69% 47.84% 042 88.70% 22.58% 29.69% 075 83.70% 29.04% 30.84% 076 84.73% 23.57% 24.32% 079 72.70% 38.89% 39.26% 080 80.84% 34.79% 37.78%

SSVR data is from here. I’d like to think that this would put those 44% assertions to rest, but I know better by now. Abbott clearly did better than Perry, though by only a point or two in most districts. Some of that may simply be due to Perry doing worse overall than Abbott. Still, his actual number among Latino voters is nothing to sneeze at. But as I’ve said before, while the actual results provide a reality check on exit polls and from-the-ether assertions, they’re more suggestive than conclusive. We don’t know what percentage of actual voters in these districts was Latino. To see what I mean, consider a district with 10,000 voters and an SSVR of 80%. Imagine also that Abbott gets 70% of the Anglo vote, which is likely to be at least what Abbott would need to get to almost 60% overall. How does the vote break down if Abbott scored 40% (i.e., 4,000 votes) in that district?

If the actual mix of voters is 80% Latino and 20% Anglo, then Abbott got 1,400 Anglo votes, which means he needs 2,600 Latino votes to get to 40% overall. 2,600 votes out of 8,000 is 32.5%.

If the actual mix of voters is 70% Latino and 30% Anglo, then Abbott got 2,100 Anglo votes, which means he needs 1,900 Latino votes to get to 40% overall. 1,900 votes out of 8,000 is 23.75%.

Basically, the share of the Anglo vote, even though it is relatively small in a district like this, has a large effect on the share of the Latino vote. Changing the assumption that Abbott got 60% of the Anglo vote in this district instead of 70% doesn’t make that much difference. In scenario 1, Abbott needs 2,800 Latino votes instead of 2,600, or 35%. In scenario 2, it’s 2,200 instead of 1,900, or 31.4%. Even in a scenario where you assume the Latino vote exceeds the SSVR%, you get the same kind of result. In a 90/10 situation with a 70% Anglo vote, the corresponding Latino percentage is 36.7%; with a 60% Anglo vote, it’s 37.8%. The only way for the Latino vote percentage to be higher than the overall percentage is if the Anglo vote is less than the overall. I suppose it’s possible Abbott could fail to break 40% of the vote in these districts, but I’ve yet to see anyone offer objective evidence of it. Therefore, the numbers I present above represent the upper bound for Abbott among Latinos in these districts. Anyone who wants to claim otherwise needs to show me the numbers.

(To be completely fair, one scenario under which the Latino vote could be higher than the overall would be if some other segment of the electorate was voting disproportionately against Abbott. A significant portion of African-American voters in these districts could do that. Take the first scenario above and change the voter demography to 80% Latino, 10% African-American, and 10% Anglo. Now assume a 70% Anglo vote for Abbott and 10% A-A vote for him. With those assumptions, 3,200 Latino votes are needed to get to 40% overall, and as it happens that’s a 40% share of the Latino vote. However, in the districts above, the largest African-American population is four percent; it’s less than one percent in most of them. As such, this variation pretty much can’t exist.)

Another way we can look at this is to see if other Republicans did better in these districts as well, or if the effect was limited to Abbott. For that, we turn to a comparison of David Dewhurst in 2010 to Dan Patrick.

Dist SSVR% Dew Patrick ============================= 031 76.46% 45.47% 40.46% 035 76.58% 37.99% 34.86% 036 87.34% 29.04% 26.67% 037 81.21% 35.77% 33.85% 038 80.92% 38.91% 35.40% 039 85.14% 26.44% 27.50% 040 88.14% 25.11% 23.00% 041 71.98% 48.27% 42.16% 042 88.70% 24.68% 23.67% 075 83.70% 30.16% 29.72% 076 84.73% 24.67% 23.37% 079 72.70% 41.50% 37.98% 080 80.84% 35.40% 34.59%

With the exception of HD39, Dewhurst did better than Patrick. Obviously, Dewhurst did better overall than Perry, while Patrick was roughly equivalent to Abbott. That suggests that while Abbott may have improved on Perry’s performance, he wasn’t necessarily a rising tide. To be sure of that, we should compare him directly to his comrades on the ballot. I’ve thrown in Perry as well for some perspective.

Dist Abbott Perry Patrick Paxton Hegar Bush ========================================================== 031 44.08% 42.01% 40.46% 41.36% 40.97% 45.24% 035 39.11% 37.19% 34.86% 35.93% 35.70% 39.45% 036 31.21% 29.55% 26.67% 27.89% 28.06% 32.42% 037 38.13% 36.96% 33.85% 34.16% 34.13% 39.77% 038 40.39% 39.11% 35.40% 36.30% 36.15% 41.98% 039 32.12% 27.03% 27.50% 28.58% 28.68% 33.18% 040 28.59% 25.37% 23.00% 23.92% 24.24% 29.45% 041 47.84% 46.69% 42.16% 44.51% 44.77% 49.92% 042 29.69% 22.58% 23.67% 22.48% 23.40% 33.23% 075 30.84% 29.04% 29.72% 29.33% 29.21% 28.75% 076 24.32% 23.57% 23.37% 23.52% 22.91% 24.76% 079 39.26% 38.89% 37.98% 37.94% 37.41% 37.76% 080 37.78% 34.79% 34.59% 34.14% 33.71% 39.13%

A few observations:

– Clearly, Abbott did better in these districts than anyone except Baby Bush. Playing up their own Latino connections – wife in Abbott’s case, mother in Bush’s – helped them, at least to some extent. We have seen this before, with several other candidates – Ted Cruz, Eva Guzman, Hector Uribe, and as you can see above, Leticia Van de Putte. The effect isn’t much – a couple of points – but it exists. It should be noted that since these candidates’ overall totals don’t differ much from their ballotmates’, there’s an equivalent but opposite effect elsewhere. Just something to keep in mind.

– Note that the effect for Abbott was greater in South Texas and the Valley, and lesser in El Paso (HDs 75, 76, and 79). Bush also did worse in El Paso, no doubt due at least in part to having former El Paso Mayor John Cook as his opponent. Consider this a reminder that the Latino electorate is not monolithic, even within the same nationality. What works well here may not be as effective there. This should be obvious, but I feel like we all sometimes act as if that’s not the case, and yes I include myself in that.

– Along those lines, I wish that the SSVRs were high enough in the urban Latino districts to include them here, but they’re not really comparable. Having written that, I’m now curious enough to do that comparison in another post, just to see what I get.

– At the end of the day, Greg Abbott in 2014 was a lesser known quantity than Rick Perry in 2010. He had a chance to introduce himself as a more or less clean slate. That won’t be the case in 2018, if Abbott is on the ballot for re-election. He’ll have a record to defend, for good or bad. We’ll see how much his wife and madrina can help him then.