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Posts tagged ‘North Carolina’

Rural Georgia leads race to the bottom in per capita income. The question is, why?

The week before Thanksgiving, I served as the lead-off speaker for a day-long symposium, sponsored by Georgia State University’s Urban Studies Institute, on Georgia’s urban-rural divide. About an hour before I started my presentation, the U.S. Bureau of Economic Analysis (BEA) put out its annual report on county-level per capita income. It’s a shame I couldn’t have gotten an advance look at the data; it would have provided a great addition to my presentation.

I’ve now spent two or three days rolling around in the data and can already see that I’ll be able to milk several solid posts out of the BEA spreadsheet. For starters, though, I’ll focus on Georgia’s at least mildly surprising showing at the bottom of the nation’s per capita income pile.

One useful thing about the BEA report is that it includes data on more than 3,100 counties and comparable governmental jurisdictions. That makes it possible to compare Georgia to its neighbors and, indeed, the entire country. It also makes it possible to document the extent of the divide between Georgia’s haves and have-nots.

The first unhappy headline out of this data dive is that Georgia counties occupy the bottom two places on the national list. Wheeler County finished 3,114th out of 3,114 counties with a 2020 PCI of $21,087, just behind Telfair County at 3,113th with a PCI of $22,644. As a frame of reference, those figures are less than one-fourth of Fulton County’s state-leading per capita income of $95,683 and about one-tenth the PCI of $220,645 in Teton County, Wyoming, which ranks No. 1 nationally.

Perhaps even more troubling, Georgia is home to 10 of the bottom 30 counties nationally. The only other states with more than two counties in the bottom 30 are Florida with six and South Dakota with four. Because Georgia has so many more counties than most states, it might be possible to argue that the number of counties on any such list isn’t all that important. So, let’s look at population.

Of the 10 states with counties in the Bottom 30, Georgia had a larger share of its population living in those counties than any other state except South Dakota, whose four counties in the Bottom 30 were made up largely or entirely of impoverished Indian reservations. As the table at right shows, some 1.2 percent of Georgia’s overall population resides in a Bottom 30 county; except for South Dakota, all the other states’ Bottom 30 populations were below one-half of one percent.

Still untroubled? Okay, let’s broaden the focus.

As I’ve already suggested, the BEA data allows you to sort and rank all 3,114 counties (and comparable jurisdictions) nationally. Having done that, I’ve also sliced the nation, and the state, into quartiles. Of Georgia’s 159 counties, 104 counties posted 2020 PCIs in the bottom national quartile.

Those 104 counties are home to 28.5 percent of Georgia’s 10.7 million residents — a higher percentage of people living in the bottom quartile than any of its adjoining states except Alabama, where the number is 29.6 percent. This table shows the total populations and quartile splits for Georgia and all its contiguous neighbors.

I’ll have more to say about this in a subsequent post, but one initial takeaway (in my view) is that it’s pretty good illustration of the extent of the chasm between Georgia’s haves and have-nots.

To widen the lens even further, Georgia has more people living in the bottom quartile than any other state in the nation, including Texas, Florida and all the other states with larger populations. Some 3.05 million Georgians live in the bottom PCI quartile.

Texas, with nearly three times Georgia’s population, has only 2.75 million residents living in the bottom quartile. In Florida, which has double Georgia’s population, the number of residents in the bottom quartile is 2.01 million. North Carolina, with essentially the same population as Georgia, has nearly 1.3 million fewer people in its bottom tier counties.

Of the 779 counties in TIGC’s bottom quartile, 104 are in Georgia; only four other states — Arkansas (54 counties), Kentucky (65), Mississippi (55) and Missouri (54) — had more than 50 counties in the bottom quartile.

That rural Georgia’s 2020 per capita income is so low is not in and of itself all that surprising. But that the state performs so much worse than neighboring states like Florida and North Carolina is frankly more than a little disconcerting and a bit of a mystery. How those states have been able to do a better job of moving their populations out of the bottom PCI tier and up the economic ladder is a question that needs to be answered.

Watch this space.

The interactive map below highlights Georgia’s 159 counties based on their National PCI Quartile. The lighter the shade, the higher the quartile.

The interactive table below shows 2020 per capita income data for all 159 Georgia counties, along with their state and national rank and the national quartile into which each county falls.

New medical study confirms what TIGC has been saying for a year now. You’re welcome.

The American Journal of Preventive Medicine (AJPM) earlier this week published a new statistical study which basically found that American states led by Democratic governors have fared better through the worst of the pandemic than those governed by Republicans.

Opined the authors: “Gubernatorial party affiliation may drive policy decisions that impact COVID-19 infections and deaths across the U.S. Future policy decisions should be guided by public health considerations rather than political ideology.”

Gee, you think?

Actually, I’m glad to see this kind of big academic study. As eye-glazing as it can be in places, it reinforces a lot of the observations I’ve made here at Trouble in God’s Country since Covid-19 rolled in a year ago. Early on, I started noticing differences between between Georgia, where Republican Governor Brian Kemp was famously loathe to impose restrictions because of the pandemic, and North Carolina, where Democratic Governor Roy Cooper acted pretty quickly and decisively to begin closing down his state.

The two states have a lot in common, including demographics, economics, educational levels, and population size. Pretty much from the get-go, North Carolina was performing more Covid-19 tests and reporting more confirmed cases but fewer deaths.

Based on the latest data available from the CDC’s COVID Data Tracker, North Carolina has since significantly out-performed Georgia. As of Thursday, March 11, Georgia, with a population of 10.6 million, had more than a million confirmed and probable cases and 18,117 Covid-19 deaths; North Carolina, whose population is only slightly smaller at 10.4 million, has recorded 879,825 such cases and 11,622 deaths.

A week or so after that first Georgia-North Carolina comparison last March, I posted a new piece that broadened the focus and compared a half-dozen Old South states led by proudly conservative Republicans (Alabama, Florida, Georgia, Mississippi, South Carolina and Tennessee) to three deep blue West Coast states led by liberal Democratic governors (California, Oregon and Washington).

The two regions had very comparable populations — 51.4 million for the three West Coast states versus 51.9 million for the six Old South states. But the regions’ governors were taking very different approaches in fighting the virus. The governors on the West Coast, which bore the brunt of the virus’s initial attack, took early, dramatic actions to shut down their states and limit the virus’s spread, while the Old South’s GOP governors were openly resisting most public health-driven actions.

At the time of that initial report — not even a month into the pandemic — the West Coast had suffered 543 deaths versus 500 for the Old South, but the Old South was already piling up more cases: more than 24,000 versus just over 18,500 for the West Coast.

I pulled fresh numbers from the CDC’s Covid-19 Data Tracking website on Friday, and the Old South’s performance now looks much worse in comparison to the West Coast (where, again, the virus initially turned Seattle into the public health equivalent of Chernobyl and has continued to savage the California coast) than it did last April. The Old South states have racked up 25,000 more deaths than the West Coast and a million more confirmed and probable cases, as this table details:

The AJPM study found that the Republican-led states had lower case and death rates for the first several months of the pandemic, but that those trend lines crossed — on June 3, 2020, for case rates and a month later, on July 4, for death rates.

That’s generally in line with another TIGC observation. I tracked county-level case and death rates on an almost daily basis for the first several months of the pandemic by the political party each county sided with in the 2018 Georgia gubernatorial election. Early on, the virus did most of its damage in urban areas that were heavily populated and largely Democratic, such as Metro Atlanta; the virus was indeed slow to show up in sparsely-populated rural areas of Georgia that largely sided with Governor Kemp and other Republicans.

But it did get there — and, just as the authors of the AJPM study found, the trend lines eventually crossed. By my calculations, the death rate in counties that went for Democratic gubernatorial nominee Stacey Abrams had been higher — that is, worse — from the opening days of the pandemic through most of August; they crossed on August 25, 2020. The case rate trend lines were a little slower to intersect, but finally crossed on September 9.

11-3-covid-data-table.jpg (328×125)

I took another look at this phenomenon following last year’s presidential election and found the same pattern, as this table to the right shows. By election day, President Donald J. Trump’s Georgia counties had significantly worse case rates, death rates and 14-day case rates than his then-Democratic challenger, Joe Biden.

The authors of the AJPM study were careful to avoid asserting causality in the statistical relationship between the governors’ party affiliation and their states’ Covid-19 results. And, indeed, there are a variety of factors other than politics that probably contribute to different outcomes. In an early piece speculating that rural Georgia might eventually be harder hit than the state’s urban areas, I cited the facts that rural Georgians were generally in poorer health than their city cousins and had access to much frailer health care delivery systems. At that point, the political differences were just beginning to come into focus.

But, statistical limitations aside, it now seems silly to ignore the obvious political relationships and implications. It’s often said that the 50 states function as laboratories for American democracy. For a year now, that’s clearly been the case where America’s response to Covid-19 is concerned. But it’s a shame we all wound up being used as human guinea pigs.

(c) Copyright Trouble in God’s Country 2021

Long-time friend and long-ago colleague Terry L. Wells contributed to this article. He first spotted and posted to Facebook an article about the AJPM study, without which I probably would have missed the whole thing.

Covid-19 seems to be hitting Georgia harder than its neighboring states

Over the weekend I published a post comparing Georgia’s Covid-19 performance with North Carolina’s and wondering out loud why the differences are so dramatic.  Today I’ve cast a wider net and put together this table comparing Georgia with its neighboring states.

March 30 SE Covid Table

Clearly, Georgia — at least so far — is being harder hit than its five contiguous neighbors.  Only Tennessee has a slightly higher Covid-19 infection rate, and Georgia leads the region in both Covid-19 deaths and hospitalizations; even Florida, with twice Georgia’s population, trails Georgia in both those categories.

The question is why?  There are obviously a great many variables at work in this situation, but at this point there’s enough data in the pot to warrant a little head-scratching.  Even if these southern states are using different protocols to determine who gets tested, we’re left with the fact that Georgia is outpacing its neighbors so dramatically in deaths and hospitalizations.

I’ve got lines out to several contacts in the public health world and hope to gather some informed answers to these questions over the next day or so.

[A note about the data above: The population numbers are 2019 Census Bureau estimates.  The raw Covid-19 data came from each state’s respective public health website as of about mid-day today.  The infection and mortality rates were calculated by dividing the number of positives or the number of deaths by the population and multiplying the result by 100,000.]

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Another interesting chunk of Covid-19 data comes from the Institute of Health Metrics and Evaluation (IHME) at the University of Washington.  It’s now out with state-by-state projections of how the now infamous Coronavirus curve — or wave — is likely to move across each state and its healthcare system.  IHME has developed a computer model that stirs together data on available healthcare resources with testing and mortality rates to date.

The projections for Georgia are grim.  IHME’s model predicts that Georgia will hit its “peak resource use” on April 22, when it calculates that the state will be short 755 ICU beds and 1,075 ventilators.  It also projects our “deaths per day” will peak the following day, April 23, at 84, and that the state will suffer a total of 2,777 deaths by August 4, 2020.

These projections are generally in line with the performance numbers posted above.  North Carolina is projected to hit its peak resource demand on the same day, April 22, but will only be short 278 beds and 676 ventilators; its “deaths per day” are projected to peak at 56, and total deaths by August 4 are forecast at 1,721.

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Meanwhile, the Economic Innovation Group, whose work I’ve cited on a number of occasions, is out with a new report focusing on the challenges Covid-19 poses for the country’s most “distressed communities,” many of which are rural.  Indeed, the new EIG report echoes and puts meat on the bones of an argument I started making nearly two weeks ago — namely, that Covid-19 represented a “perfect storm” for rural Georgia.

EIG annually assigns “Distressed Community Index” scores to all 3,000-plus counties in the nation, as well as all cities with populations of 50,000 or more.  It does this using a formula based on seven socioeconomic factors; a few years back, it named Albany one of the 10 most distressed mid-sized cities in the country.

This new EIG report offers four key takeaways:

  1. The uninsured rate for residents of distressed counties is much higher than those living elsewhere.
  2. Residents of distressed counties are more likely to be elderly and susceptible to complications resulting from coronavirus infection.
  3. Life-threatening health disorders are more prevalent and more dangerous in distressed areas.
  4. Life expectancy is already significantly shorter in economically distressed places.

After fleshing out each of those points, EIG then turns its attention to the state of healthcare systems in distressed communities.  It reports that it had analyzed more than a decade’s worth of American Hospital Association (AHA) data and found that distressed communities had seen a 16 percent reduction in the number of hospital beds between 2006 and 2017.  This report doesn’t offer a state- or county-level breakdown, but rural Georgia has almost certainly suffered that level of loss of beds over the past decade or so.

 

 

 

TIGC Covid-19 March 28 Round-Up

Random Questions and Observations on Covid-19:

  • Why are the results from Georgia and North Carolina so different?  The two states have nearly identical populations — 10.6 million for Georgia versus 10.5 million for North Carolina, according to 2019 Census Bureau estimates — but have very different Covid-19 results so far.  I’ve been watching this for a while, thinking the numbers might even out.  They haven’t.  As of today’s morning report from both states’ public health agencies, North Carolina has tested more than 50 percent more people than Georgia but found less than half as many “positives” as Georgia, and with only a fraction of the hospitalizations and deaths, as this table shows. Ga NC ComparisonThe question is why.  There are obviously a lot of variables at play, but the two states probably have a lot more in common than not.  Based on news reports I’ve read, North Carolina Governor Roy Cooper, a Democrat, seems to have acted earlier than his Georgia counterpart, Republican Brian Kemp — but not that much earlier.  We’re probably going to have to wait for the smoke to clear to develop a truly useful analysis of this, but these differences are worth keeping an eye on.  It’d be interesting to see the AJC and the Charlotte Observer collaborate on a tick-tock plotting state and maybe major local actions across a timeline.
  • Like Sherman, Covid-19 continues its march through Georgia.  As of today’s late-morning report from the Georgia Department of Public Health, Covid-19 has now been found in 108 of Georgia’s 159 counties.  March 28 Counties with Confirmed CasesAs this map shows, the areas that have so far avoided reporting positive tests are almost entirely rural, including a swath of sparsely populated counties through east-central and southeast Georgia and another group of counties in west Georgia that somehow haven’t yet been pulled into the orbit of the Albany hot spot.  While the bulk of the positive tests and deaths are in Metro Atlanta, the rate of infection and Covid-19 deaths is much higher in South Georgia, as the table below shows.  Indeed, if you focus on Dougherty County and its six contiguous counties, the Covid-19 infection rate and death rate are, respectively, 6.7 times and 20 times that of TIGC’s Metro Atlanta region.MARCH 28 Regional Summary
  • Using smartphones to gauge mobility in the face of Covid-19.  One of the more interesting chunks of data to surface in the Covid-19 pandemic has come from a company called Unacast.  Unacast uses location tracking data from smartphones to track how far users travel each day and aggregates that data to see what that can tell us about whether people are following the guidance of their state and local leaders and limiting their local travel.  The data seems to lag by a few days and it’s still early, but it’s still interesting.  As of today’s report, four of the five best-behaving counties in Georgia are in Metro Atlanta — Forsyth, Dawson, Cherokee and Fulton counties.  The other top-five county was Clay County, which ranked second and had slashed its “average distance traveled” by 39 percent.  Clay County sits hard on the Alabama line in southwest Georgia, on the edge of the Albany blast zone, but has yet to report a single positive Covid-19 test.  You have to wonder if everybody in that county hasn’t gone inside and shut all their doors and windows.  You can find the Unacast data here.  Scroll down until you find the U.S. map, then click on Georgia and, when that map comes up, click on your county and wait for the data to come up.  It’s a little slow and clunky, but still useful.
  • Covid-19’s economic toll may be tougher on rural Georgia than Metro Atlanta.  The great recession hit Metro Atlantans harder than their rural Georgians.  That reality showed up first in IRS data and in total personal income data from the Bureau of Economic Analysis (BEA) and later in a BEA report on county-level gross domestic product.  As Covid-19 began to spread, I found myself thinking it might be tougher on rural Georgia.  If the Great Recession hit Metro Atlanta harder, it recovered faster and has since widened its economic, education and health gap with rural Georgia; rural Georgia has generally lost population and seen its local economies contract, which, I figured, left it in a weakened position to deal with a global pandemic.  Now comes Politico with a really good piece fleshing out my general concerns.  It’s worth reading.
  • While the Covid-19 data is still developing day-by-day, there are already some interesting oddities and riddles that are worth noting and wondering about:
    • College towns.  One early theory was that college towns would be hard hit, given their population of young people who still think they’re invincible.  Well, yes and no.  Clarke County, home of the University of Georgia, had 35 cases as of mid-day Saturday, just over half of the 67 reported by Carroll County, home of West Georgia College.  Those weren’t all that surprising.  The bigger riddles were Baldwin County (home of Georgia College and State University) with only two cases and Bulloch County (Georgia Southern) with a big goose-egg so far.  I haven’t found data on the number of tests given in each county, but both Baldwin and Bulloch are large enough that you’d have to think they’d conducted a fair number of tests.
    • Bartow County.  Other than Albany, Bartow County, just of I-75 north of Metro Atlanta, has emerged as the state’s second-hottest hot spot.  As of Saturday, Bartow County, with a population of about 106,000, had reported 116 cases, the sixth-most in the state, and its infection rate was second only to Dougherty County.  I am, I believe, reliably informed that the outbreak traced back to a large community gathering in Cartersville, but I haven’t found any published reporting on it and am going to hold off on the details for the time being.
    • Taliaferro County.  This tiny, impoverished county of about 1,700 people might be considered a prime target for Covid-19.  It’s located about a hundred miles east of Atlanta on I-20 and a far piece from any major healthcare facilities.  As it’s worked out so far, it’s one of only two counties on that route between Atlanta and Augusta that still hasn’t reported a positive Covid-19 test (neighboring Warren County is the other).  One likely reason is a paucity of testing in the county, but another could be an early decision by the local school superintendent, Allen Fort.  As Jim Galloway reported nearly two weeks ago, Fort didn’t wait for guidance from Governor Kemp or anybody else; he acted on his own and sent all his students home.  In doing so, he may have flattened the curve in his little county.

Stay tuned.  I’ll follow up with more early next week.