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The Economic Innovation Group’s case for place-based “Heartland Visas”

John Lattieri, the president of the Economic Innovation Group (EIG), is up at The Washington Post with a provocative op-ed pushing the concept of place-based visas — an idea that would empower struggling rural communities to sponsor immigrants with certain skills to relocate to their communities.

Given the political and cultural realities of the areas of rural Georgia that would benefit most from such a program, I’m skeptical it’ll get much support here — but it’s a fine idea and one the House Rural Development Council would do well to consider.

You can read the entire op-ed at the link above, but here’s a nut graf:

The idea of “place-based” — rather than employer-based — visas has been already implemented in countries such as Canada and Australia. Recently, the Economic Innovation Group released a paper calling for a specific place-based visa program — a “heartland visa” — aimed directly at helping struggling regions break the economic and demographic declines they are experiencing. Such a program would open a new door — without reducing the slots available through other programs — for skilled workers who could meet a range of local needs, from helping grow a local robotics hub, to filling small-town physician shortages. But instead of relying on employer sponsorship, heartland visas would be tied to communities — ones that qualify based on a stagnant or shrinking local workforce, or other economic criteria. The draw could be considerable. Many demographically stagnant U.S. communities offer an enormously attractive chance for a better life for would-be immigrants.

As background, the Economic Innovation Group is a Washington-based think tank whose work I’ve cited several times, including here and here.





County Rankings 101: A basic primer

Lately I’ve been updating several data sets and taking a fresh look at various county rankings.  Generally, I find the rankings systems a little frustrating because they tell you who’s best and who’s worst but usually don’t provide much help in the way of explaining the chasm between best and worst.

That said, the rankings systems are still sort of an unavoidable starting point in evaluating the relative standing of Georgia’s 159 counties.  In the process of updating all these rankings, I wound up mapping a bunch of the data and decided that all this might make for a fair primer on how Georgia’s counties stack up in terms of economic vitality, population health, and educational attainment.

A quick description of the rankings I’ll be using below in a table and in a map:

  • Economics – For local economics, I rely on the Georgia Department of Community Affairs. DCA manages the state’s Job Tax Credit program, which is designed to steer jobs to the state’s poorest counties.  As part of that program, it ranks all counties in the state using a formula based on local per capita income, poverty rates and unemployment rates.  Because the JTC program is focused on helping poor counties, DCA ranks the counties from worst-to-best; for my Trouble in God’s Country purposes, I turn the reverse the JTC rankings and list them best-to-worst.
  • Health – Here I used the 2019 county Health Outcomes Rankings produced by the Robert Wood Johnson Foundation’s excellent County Health Rankings & Roadmaps program. This program produces county-level rankings for each state using a formula that factors in premature death rates and a variety of quality-of-life metrics.  (This program also produces a county-level Health Factors ranking, but that ranking includes a number of economic rankings that bump up against the DCA rankings above and the education rankings explained immediately below.)
  • Education – I haven’t been able to find a comparable set of county-level rankings for education, so I’ve created one. Here I’ve taken the most recent educational achievement data I can find (for 2013 through 2017) and created a ranking by averaging the counties’ ranks for the largest percentage of college graduates and the smallest percentage of high school dropouts.

All that done, I’ve created what I call a “rank of ranks” by adding up each county’s economic, health and education ranking and then ranking them based on their totals (see the full list below).  I’ve also mapped that data in a way that slices the state into 16 tiers (creating 15 groups of 10 counties and one of nine counties).

Combined Econ Health & Education Rankings

The color-coding is simple: the darker the green, the better the overall ranking; the darker the red, the worse the ranking; the palest shades of green and red constitute the middling counties.  (You can access an interactive version of this map here.)

(You can find 16-tier interactive maps for the economic, education and health rankings here, here and here, respectively.)

The mapping is useful in a couple of ways, perhaps mostly by spotlighting regional patterns that are virtually impossible to see in a printed list.  For example, you can see, in dark red, five contiguous southwest Georgia that are all in the bottom 10 counties overall: Stewart, Quitman, Clay, Randolph and Calhoun.  At the same time, just south of those five counties, most of the counties strung along the Florida border have more middling rankings; they have at least some positive metrics.

So, one question, it seems to me, is this: If the state has finite resources to invest in economic development, does it invest them in areas that aren’t showing much signs of life?  Or in those that can demonstrate a pulse?  I’ll take a stab at an answer in future posts.

One of the obvious takeaways from the list below is that the economic, health and educational rankings tend to run fairly close to one another.  This is especially true at the top and bottom of the rankings; you’ll find some divergence in the middle ranks, and that’s where you’ll also find the most churn year in and year out.  Conversely, it’s difficult to dislodge counties that occupy the top ranks of these lists, and counties at the bottom have a tough time even getting a toe-hold to try to move up these ranking ladders.  These lists have not changed much in the time I’ve been watching them.

One frustration I have with these and other rankings is that they don’t answer what I call the “so what” question, and there are other metrics that I think would help create useful measures and rankings of the overall viability of Georgia’s counties.  I’m working on a few of those now and hope to be able to update this in the near future.

Here’s the list.   The sort is based on the overall rank, from highest to lowest.

County 2019 DCA Reverse JTC Rankings 2019 RWJ Health Outcomes Rankings 2013-17 Educational Achievement Rankings Total of Ranks Rank of Ranks
Forsyth County 2 1 1 4 1
Oconee County 1 2 1 4 1
Fayette County 4 4 1 9 3
Cherokee County 3 3 8 14 4
Cobb County 5 7 5 17 5
Columbia County 6 6 6 18 6
Harris County 7 8 14 29 7
Gwinnett County 15 5 14 34 8
Coweta County 14 10 13 37 9
Fulton County 23 11 4 38 10
Bryan County 11 20 9 40 11
Dawson County 10 15 21 46 12
Lee County 8 17 21 46 12
Paulding County 18 9 24 51 14
DeKalb County 34 16 11 61 15
Jones County 22 13 30 65 16
Henry County 30 25 12 67 17
Pickens County 9 19 40 68 18
Houston County 33 22 16 71 19
Morgan County 16 27 32 75 20
Camden County 40 18 18 76 21
Jackson County 12 12 53 77 22
Effingham County 13 29 38 80 23
Union County 29 24 28 81 24
Catoosa County 26 23 36 85 25
Chatham County 25 52 10 87 26
Walton County 20 26 42 88 27
Douglas County 41 31 21 93 28
Pike County 21 30 42 93 28
Hall County 17 14 70 101 30
White County 36 21 44 101 30
Lumpkin County 38 39 33 110 32
Glynn County 32 64 18 114 33
Bartow County 27 33 57 117 34
Barrow County 24 35 59 118 35
Monroe County 19 67 38 124 36
Rockdale County 55 45 27 127 37
Rabun County 48 48 37 133 38
Putnam County 53 46 35 134 39
Liberty County 51 57 29 137 40
Chattahoochee County 96 44 6 146 41
Towns County 69 62 20 151 42
Oglethorpe County 28 32 93 153 43
Fannin County 50 59 47 156 44
Long County 80 28 55 163 45
Floyd County 47 54 64 165 46
Habersham County 45 36 86 167 47
Newton County 74 51 45 170 48
Lowndes County 59 78 34 171 49
Carroll County 43 72 57 172 50
Greene County 46 82 46 174 51
Troup County 39 80 56 175 52
Dade County 37 43 96 176 53
Pierce County 49 47 88 184 54
Clarke County 114 56 16 186 55
Hart County 42 58 87 187 56
Crawford County 72 49 69 190 57
Gilmer County 64 63 68 195 58
Madison County 56 68 71 195 59
Thomas County 61 86 50 197 60
McDuffie County 113 34 66 213 61
Muscogee County 68 120 25 213 61
Stephens County 52 105 61 218 63
Walker County 62 87 72 221 64
Whitfield County 54 42 125 221 64
Banks County 31 65 127 223 66
Bulloch County 124 73 26 223 66
Tift County 70 92 65 227 68
Jasper County 35 53 142 230 69
Peach County 81 112 40 233 70
Glascock County 60 37 137 234 71
Gordon County 65 61 113 239 72
Brooks County 73 74 94 241 73
Bibb County 82 135 31 248 74
Haralson County 57 97 95 249 75
Lamar County 99 101 49 249 75
Clayton County 136 69 52 257 77
Lincoln County 85 90 84 259 78
Richmond County 88 125 48 261 79
Seminole County 71 127 63 261 80
Bacon County 58 113 91 262 81
Montgomery County 140 50 72 262 81
Heard County 75 70 118 263 83
Bleckley County 127 85 53 265 84
Schley County 111 71 83 265 84
McIntosh County 90 55 121 266 86
Evans County 67 108 100 275 87
Talbot County 92 77 109 278 88
Franklin County 63 100 117 280 89
Treutlen County 120 60 100 280 89
Lanier County 135 66 80 281 91
Ware County 89 114 79 282 92
Baker County 66 88 129 283 93
Charlton County 102 38 143 283 93
Cook County 93 98 92 283 93
Laurens County 104 118 62 284 96
Pulaski County 115 75 100 290 97
Upson County 86 106 100 292 98
Butts County 78 84 131 293 99
Wayne County 107 96 90 293 99
Washington County 110 81 104 295 101
Miller County 44 155 97 296 102
Worth County 76 95 126 297 103
Echols County 100 40 158 298 104
Screven County 131 94 74 299 105
Polk County 87 91 123 301 106
Grady County 97 102 106 305 107
Elbert County 79 103 124 306 108
Wilkinson County 77 124 108 309 109
Decatur County 95 136 80 311 110
Wilkes County 83 131 97 311 110
Spalding County 98 139 75 312 112
Dodge County 133 117 67 317 113
Coffee County 109 111 99 319 114
Early County 94 150 75 319 114
Baldwin County 143 121 60 324 116
Dougherty County 123 151 50 324 116
Macon County 139 110 78 327 118
Colquitt County 84 116 133 333 119
Chattooga County 103 83 148 334 120
Appling County 91 109 139 339 121
Toombs County 121 144 77 342 122
Wilcox County 134 93 116 343 123
Wheeler County 156 41 147 344 124
Murray County 118 76 151 345 125
Brantley County 129 104 121 354 126
Berrien County 126 123 112 361 127
Meriwether County 105 130 131 366 128
Johnson County 132 89 146 367 129
Webster County 138 119 110 367 129
Dooly County 119 99 150 368 131
Candler County 101 154 115 370 132
Irwin County 145 143 84 372 133
Tattnall County 125 115 134 374 134
Turner County 117 138 119 374 134
Sumter County 147 148 80 375 136
Crisp County 141 152 89 382 137
Atkinson County 108 122 157 387 138
Emanuel County 150 134 106 390 139
Taylor County 153 107 130 390 139
Burke County 137 140 114 391 141
Clinch County 106 149 136 391 141
Mitchell County 130 133 128 391 141
Telfair County 159 79 156 394 144
Terrell County 112 141 141 394 144
Jeff Davis County 116 146 139 401 146
Warren County 122 159 120 401 146
Ben Hill County 155 147 111 413 148
Jenkins County 152 128 135 415 149
Clay County 158 156 105 419 150
Stewart County 154 126 144 424 151
Randolph County 151 137 137 425 152
Calhoun County 149 132 148 429 153
Taliaferro County 144 129 159 432 154
Jefferson County 146 142 145 433 155
Marion County 142 145 151 438 156
Twiggs County 128 158 154 440 157
Quitman County 148 157 154 459 158
Hancock County 157 153 153 463 159



Albany and Macon make Business Insider list of America’s 50 most miserable cities

Business Insider went up yesterday with a story about the 50 most miserable cities in America, a list that included Albany at 18th and Macon at 47th.  The wonder is that there weren’t more, and I’d wager that Augusta and Columbus, perhaps among others, didn’t miss the list by much.

Business Insider built its list using Census data that “(took) into consideration population change (because if people are leaving it’s usually for a good reason), the percentage of people working, median household incomes, the percentage of people without healthcare, median commute times, and the number of people living in poverty.”

To a significant degree, the Business Insider list echoes findings by the Economic Innovation Group (EIG), which for the past two years has used its Distressed Communities Index (DCI) to rank all U.S. counties as well as all cities with populations of at least 50,000.  EIG’s DCI includes several of the same metrics as Business Insider’s misery index, but one significant difference is that Business Insider looks at population trends.

I think that’s an important metric and one that’s largely overlooked in evaluating the health of Georgia’s cities and counties.  By my count, 68 of Georgia’s 159 counties have (according to Census Bureau estimates) lost population over the past five years.  The vast majority of those are rural Middle and South Georgia counties.  (I’ve long thought the Georgia Department of Community Affairs needs to retool its Job Tax Credit rankings to reflect population trends, but that’s a subject for another post.)

Another interesting aspect of the Business Insider list has to do with what’s missing.  While Florida had a half-dozen entrants on BI’s bottom 50, Georgia’s other contiguous Old South neighbors managed to stay off the list entirely: Alabama, Tennessee, North Carolina, and South Carolina didn’t have a single bottom 50 city amongst them.  Even Mississippi and Louisiana had only one bottom 50 city apiece — Jackson at 32nd and Shreveport at 45th.  How so?  Is there anything to be learned by comparing Georgia’s cities to those in our neighboring states?

Finally, the BI list reinforces (at least in my mind) the notion that any serious rural revitalization effort has to include — and probably start with — the regional hub cities.  As I’ve written before, many of Georgia’s major regional cities are suffering their own types of problems, and if they’re allowed to slide past some hard-to-discern tipping point, it would probably doom the rural counties around them for decades to come.

Couple of reference notes:

  • I’ve written about the Economic Innovation Group’s Distressed Community Index a couple of times, here and here.
  • You can find the details of EIG’s Distressed Communities Index on page 3 of this report.
  • And finally, a tip of the hat to Doug Hall, TIGC’s man in Mexico, for flagging the Business Insider list on Facebook.  I probably would have missed it otherwise.

Rural Georgia: Doing its part to send Metro Atlanta kids to college

One recurring theme in my Trouble in God’s Country research is that Metro Atlanta is paying the lion’s share of taxes in Georgia while consuming a much smaller portion of social services, such as Medicaid and food stamp benefits.  Rural Georgia, generally speaking, doesn’t cover its costs for those services.

In at least one regard, however, rural Georgians seem to be doing their best to balance the books.  They’re spending millions of dollars on Georgia lottery tickets that help send tens of thousands of Metro Atlanta kids to college.

Of course, a fair number of rural Georgians get advanced education through lottery-funded HOPE scholarship grants – at either University System of Georgia (USG) institutions or one of the state’s technical colleges – but Metro Atlanta is clearly getting the better end of this particular deal.

I’m not sure this qualifies as real news.  It probably won’t come as a surprise to political leaders and policymakers who work in these areas.  Also, I should stipulate that the Georgia lottery and HOPE scholarship data I’ve been studying comes with a handful of significant caveats.  Available data from the University System of Georgia (USG) and the U.S. Census Bureau make it possible to paint pretty precise county-level and regional pictures of educational attainment patterns and college enrollment trends throughout the state.

The lottery and HOPE data are a little fuzzier and the resulting pictures are therefore a bit blurrier.  After studying the data for a bit, I’ve decided the best way to tell this story is to present two views – a big-picture, macro view, and then a more isolated micro snapshot.

First, the big picture, and here the caveats are especially important.  Lottery sales are reported on a county-specific basis, but that doesn’t necessarily mean that a lottery ticket sold in a particular county is purchased by a resident of that same county – or even a Georgia resident.  Inter-county or interstate sales aren’t tracked, although it’s pretty obvious that many of the Georgia counties on the Alabama border are pulling in millions of dollars from that state[i].

HOPE scholarships, meanwhile, are awarded to students in their county of residence, not their county of origin.  Odds are that the initial awards do go to students in their county of origin, but it’s also obvious that many students effectively move to their college towns and establish residence there while they’re still receiving HOPE awards.  Even a cursory review of data for college communities makes that clear.

Still, the big picture is a useful starting point.  For that I organized lottery sales and HOPE scholarship data by my five Trouble in God’s Country regions – 12 Metro Atlanta counties, 41 North Georgia counties, 43 Middle Georgia counties, 56 South Georgia counties, and seven Coastal Georgia counties.  Here’s how those numbers shake out:

Regional Lottery and Hope Analysis

The obvious takeaway from this is that Metro Atlanta and North Georgia were the only two regions that got larger shares of the HOPE scholarship grants than they ponied up for lottery tickets.  The largely rural areas of Middle, South and Coastal Georgia didn’t do nearly as well.

For the micro view, I organized a cluster of 16 largely rural counties in interior Middle and South Georgia; I’m calling it the South Central Georgia Cluster[ii]Cherokee S. Georgia MapAll these counties are far enough away from a state line that they shouldn’t get a lot of interstate lottery dollars, and most (with a couple of exceptions) are well off the beaten path of the major interstate highways.  In other words, it’s a fair presumption that their lottery sales are largely local.

As a point of comparison, I chose Cherokee County, an exurban county on the northern edge of Metro Atlanta (that’s the green county in the northern part of the map).  In 1994, the 16-county cluster of rural counties was home to a little more than twice as many people as Cherokee County – 231,402 to 107,569, according to Census estimates for that year.  But from the git-go, the rural counties were more enthusiastic lottery players.  In 1994 (the first full year of the lottery), lottery sales in those 16 counties were 3.6 times as much as in Cherokee County.

Today, the populations are roughly equivalent: 254,149 for Cherokee County versus 271,182 for the 16 rural counties, based on 2018 Census Bureau estimates (the latest available).

But lottery sales in those 16 counties are still more than double Cherokee County’s: $151.9 million to $69.3 million.  If Cherokee County and the 16 South Central Georgia counties constituted a state of sorts, here’s what their total respective shares of the lottery sales and HOPE grants would look like over the life of the programs:

South Central Cherokee Comparison

Perhaps more interesting than the total shares of lottery sales and HOPE grants is the way the trend lines evolved over time.  From 1994 through 2011, the 16-county South Central Georgia Cluster received more in HOPE scholarships than Cherokee County.  But in 2012, both areas took major hits in HOPE funding (as did the state as a whole).  The South Central counties suffered a 43.2 percent hit in HOPE scholarship grants and still haven’t gotten back to their 2011 level; Cherokee County dropped 26.5 percent but recovered more quickly and had gotten nearly all the way back to its 2011 high by 2017.  The result has been that Cherokee County passed the 16 rural counties in HOPE grants in 2012 and has been widening the gap ever since.

South Central Cluster Cherokee Trendlines

This matches a pattern I’ve seen in other education-related data.  As I noted in my last post, up through 2010, Metro Atlanta had trailed the other 147 counties in the state in fall freshman enrollment at USG colleges.  But those lines crossed in 2011 and the gap has been widening ever since.  The same pattern shows up in a comparison of Gwinnett County and all 56 counties of interior South Georgia from late 2016.

I’ve got more work to do on all this.  I need to take a deep dive into enrollment patterns at the state’s technical colleges, and I’m expecting to get a breakout on HOPE scholarship grants by type of institution – USG, technical college, or private college – fairly soon.  I’ll try to update all this within a couple of weeks.

Even with that work still to be done – and with all the caveats stipulated above – it seems fair to suggest that a lot of poor folks in rural Georgia are sending a lot of Metro Atlanta kids to college.


[i] I figured this out when I was trying to get a handle on lottery sales patterns in different parts of the state.  One approach I took was to calculate lottery sales per capita – in other words, to divide total lottery sales by population.  The state average for 2018 was $437.08 per capita.  Far and away the top producer was Quitman County at more than $4,800 per capita.  One of the smallest and poorest counties in the state, Quitman County sits forlornly on a stretch of the Chattahoochee River that is known as Walter F. George Lake in Georgia and Lake Eufaula in Alabama; Quitman County’s top economic asset in this regard is no doubt the Ernest Vandiver Causeway, which spans the lake and connects it to the State of Alabama, which is one of about a half-dozen U.S. states that still doesn’t have a lottery of its own.  While Quitman County’s per capita sales dwarf those of all other counties, seven of the top 10 per capita sales counties border Alabama, and two others are just east of Quitman County.

[ii] The counties included in the South Central Georgia Cluster are: Atkinson, Bacon, Ben Hill, Bleckley, Coffee, Dodge, Irwin, Jeff Davis, Laurens, Montgomery, Pulaski, Telfair, Toombs, Treutlen, Wheeler, and Wilcox.

Kemp’s “rural strike team” should be a step in the right direction. We’ll see.

First, props where they’re deserved.  Georgia Governor Brian Kemp actually took a step in the right direction Monday when he told the AJC he’s creating a “rural strike team” to try to stimulate economic development in the state’s dying hinterlands.  He reportedly plans to unveil the details in Swainsboro on Thursday.

Only time will tell whether this is anything more than eyewash and window dressing, but there were a couple of promising hints in the AJC’s story.  One was that he’s bringing together “a half-dozen state departments and higher education agencies” to drive the effort.  That implies a more strategic approach and focus than I’ve seen so far, and one that’s long overdue.  Still, the strike force will have its work cut out for it.

The state of Georgia is quite literally in the process of tearing itself apart along rural and urban lines, and especially between Metro Atlanta and just about everything else from Macon south.  These are not slow-moving trends.  No matter how you come at it – economically, educationally, health-wise, politically – you can pretty much watch the division in real-time.

Take education as an example.  In 1970, according to Census Bureau data, there were fewer than a quarter of a million college graduates in the entire state of Georgia, and slightly more than half of them lived outside Trouble in God’s Country’s 12-county Metro Atlanta region.  Today, the state is home to nearly two million college graduates and 63 percent of them live in Metro Atlanta.

That disparity is only going to grow.  Up until 2011, the 147 counties outside Metro Atlanta sent more freshmen to University System of Georgia (USG) institutions than the 12 Metro Atlanta counties, which is probably what you’d expect.  But in 2011 Metro Atlanta overtook the rest of the state and ever since then it’s been sending significantly more freshmen to USG colleges and universities than the rest of the state combined (see graph at right).

At the state’s two flagship universities, the University of Georgia and Georgia Tech, the gulf is bigger yet.  At Georgia Tech, 75.5 percent of the Fall 2018 in-state freshmen came from Metro Atlanta; at UGA, just over 63 percent of the in-state freshmen came from Metro Atlanta.  By my count, 71 counties, all rural, didn’t send a single high school graduate to Tech in the fall of 2018; at UGA, the same was true of 22 counties.

These differences matter.  Not only do they fuel Metro Atlanta’s outsized economic growth, they drive widening disparities in taxes paid and social services consumed.  With just under half the state’s population, Metro Atlanta in 2016 coughed up nearly two-thirds of the state’s federal taxes while consuming, as examples, about 37 percent of the state’s Medicaid services and about 41 percent of its food stamp benefits.

You can do the math on the other side of that equation.  Oh, okay, I’ll help: the 99 counties that constitute Trouble in God’s Country’s Middle and South Georgia regions don’t even come close to covering their own Medicaid and food stamp costs, let alone anything else.  After a while these kinds of numbers get to be politically untenable.

Some years back, I presented a very early version of my Trouble in God’s Country research to a group made up primarily of legislators.  One of those was House Ways and Means Committee Chairman Mickey Channell, who has since passed away.  “What do you do about it?” he asked.  I didn’t know then and still don’t, at least not entirely.  But I’ve since given it a lot of thought and would offer the following as a running start at an answer:

  • First, the multi-agency approach suggested by Kemp is the right idea — and critical. The state of Georgia arguably has one of the strongest and most sophisticated economic development infrastructures in the nation, but my sense is that its work has been largely siloed and not well integrated with other departments and agencies of state government.  The state’s urban-rural divide and the deterioration in much of rural Georgia constitutes a truly strategic problem.  It’s not an exaggeration to call it an all-hands-on-deck crisis.  In addition to the departments of Economic Development and Community Affairs, the team will have to include high-level engagement from throughout the state’s education bureaucracies and, I’d argue, public health and human services.
  • Start with a realistic evaluation of the state’s various rural areas and recognize that some are more viable than others. Some politicians like to say they want to run government like a business.  In business, if you’re losing money year after year, sooner or later you call it quits.  Under that theory, I can take the governor to 50 or so counties where he ought to turn out the lights and call it a day.  We can’t do that, of course, but it ought to be possible to invest discretionary tax dollars and other public resources in areas that at least have a fighting chance of generating a return, in terms of new growth and economic prosperity.  In other words, resist the normal political temptation to attack the worst problems first; instead, identify the regions that still have a pulse and see if they can be saved.
  • Shore up the regional hub cities first. It’s not just Georgia’s purely rural areas that are in serious decline; a lot of the major regional cities – Macon, Columbus, Augusta, etc. – are suffering various types of distress, and they are vital to rural areas around them.  As a practical matter, it may be too late to do much good for Albany and the rural counties between it and the Alabama line; that entire region of the state is bleeding population and shrinking economically to a degree that may put it beyond near-term salvation.  Figuring out how to strengthen other major hubs in ways that will enable them to better support their rural neighbors should be pretty close to the top of the to-do list for Kemp’s strike force.
  • Challenge the rural areas to compete for the state’s attention and dollars. Hopefully, one of the initiatives that will come out of Kemp’s effort will be a process by which multi-county regions or areas of the state can apply to the state for funding and technical support.  It shouldn’t be entirely on Kemp’s strike force to show up in Enigma, Ga., and say, “We’re from state government and we’re here to help you.”  Rural areas should be required to come forward with a rational vision, demonstrate that they have the leadership capacity to drive a major effort, and put serious skin in the game.  There should be milestones in that process and a credible system for evaluating progress.
  • Bite the political bullet and implement Medicaid Expansion. I should have listed this first but figured Republicans would stop reading right then and there.  Refusing to take advantage of Medicaid Expansion was the major failure of Nathan Deal’s administration and Kemp shows little inclination to do any better.  His attempt at a “waiver” approach (an all but transparent effort to deny Barack Obama any credit for the program) apparently can’t even pass muster in Donald Trump’s Washington.  Meanwhile, rural hospitals continue to close and people continue to die, prematurely and unnecessarily.  Even if Deal, Kemp & Co. are blind to the health benefits of Medicaid Expansion, you’d think they’d see the economic benefits of pumping billions of dollars into rural Georgia.  Maybe all things Obamacare still constitute a third rail of politics for Georgia Republicans, but my hunch is that the radioactivity levels tied to Medicaid Expansion have diminished to a point that it could be a political winner for Kemp – a Nixon-to-China sort of moment.

Again, I don’t know whether Kemp’s ”rural strike force” will prove to be anything more than eyewash and window dressing, but it’s encouraging that he’s taking a stab at the problem.  Hope springs eternal.

(c) Trouble in God’s Country 2019


‘Hey, Baby, you wanna help save America from socialism?’

A young up-and-comer in the Georgia Republican Party made headlines recently when he proclaimed that Republicans have a “fertility advantage” and suggested that a core GOP strategy going forward would be, basically, to out-breed the Democrats.

Brant Frost V, who is the second vice chair of the state GOP, told a recent meeting of Oconee County Republicans:

“Christian and conservative women have a 35 percent fertility advantage over Democrat women.  And the more conservative a woman is, the more likely she is to be married and have lots of kids – three, four, five, six kids.  And the more liberal and leftist a woman is, the less likely she is to even be married and have any children at all …”

I’m not making this up.  You can watch the video here.  Frost begins his remarks about an hour and seven minutes into the meeting.

As political Hail Marys go, you’ve got to give Frost credit for audacity.  I’m not sure it’ll work politically, but it’s bound to have a major impact on the Christian conservative singles-bar scene.  (“Hey, Baby, you wanna help save America from socialism?”)

But here’s the thing: Frost has absolutely zeroed in on the Republicans’ political problem.

According to data recently posted by the Georgia Department of Public Health (DPH), 79 of Georgia’s 159 counties had more deaths than births in 2018.

That’s actually news: it’s a record high, and it extends an alarming trend that started about a decade ago.  DPH’s public databases of births and deaths go back to 1994, and for about the first 15 years the number of counties reporting more deaths than births floated between about 10 and 20.  But that changed starting in 2010, as this graph shows.

More Deaths than Births Column Graph

These numbers are politically relevant to Frost’s grand strategy for a couple of reasons.  First, 78 of the 79 counties are rural; the only one that’s not is Fayette County, long recognized as a popular redoubt for retirees well past child-bearing age.  It’s also dependably Republican.

Second, Georgia’s rural regions have voted overwhelmingly Republican in the recent past.  Georgia’s current Republican governor, Brian Kemp, owes his narrow election over Democrat Stacey Abrams last year to extraordinarily high turnout and huge margins in rural Georgia.

And the importance of Frost’s vision – for conservative women to have “three, four, five, six” babies each – becomes even clearer when you drill down into the data and break it down by race.  Whites voted three-to-one for Kemp while blacks went more than nine-to-one for Abrams, according to an election-season poll of Georgia voters.

The number of counties reporting more white deaths than births was 104.  Eighty-four of those counties voted for Kemp.

These maps should leave little doubt about the vital importance of Frost’s strategy.  The first one spotlights the counties that had more white deaths than births in red; the second one shows the counties that went Republican in the 2018 gubernatorial in red and the ones that voted Democratic in blue.  It’s obviously not a perfect match, but it’s enough of an overlap that it ought to give your average GOP strategist a little heartburn.


Further, 57 of Kemp’s counties lost population between 2012 and 2017, according to Census Bureau estimates, and most of the Kemp counties that grew did so at rates that lagged the state average and, critically, traditionally Democratic urban areas.

That’s not the end of Frost’s political math problems.  At this point, there’s a fair body of polling data to suggest that Millennials lean decidedly toward the Democratic Party.  Last year Pew Research put the percentage of Millennials who consider themselves “consistently” or “mostly” conservative at 12 percent versus 57 percent who put themselves in a liberal category; the remainder put themselves in a “mixed” category.

The picture may be a little better for conservatives among Millennials who are actually registered to vote: Pew put that split at 59-32 in favor of Team Blue.  But it also found a gender divide that may impact the Frost strategy.  Some 41 percent of Millennial males tilted Republican, while only 23 percent of Millennial females did so.

For the sake of what I know is a dubious illustration, let’s say that all the Millennial women in counties that went for Kemp are the type of good Christian conservative women Frost has in mind and that the Millennial women in the Abrams counties are all godless Commies.

As the actual math on this works out, the women in the Kemp counties already have a consistently higher birth rate than the ones in the Abrams county; in 2018, the Millennial birth rate in the Kemp counties was 79.8 births per 1,000 women versus 72.7 in the Abrams counties.

The problem is, the Kemp women are badly outnumbered.

In 2018, 647,492 Millennial women in the Kemp counties gave birth to 51,687 babies (who, in this scenario, will all grow up to be good Republican voters).  The 886,215 Millennial women in the Abrams counties delivered 64,453 baby Democrats.

To close that gap of nearly 13,000, Millennial women in the Kemp counties will have to up their game; just matching the Democratic output would require them to raise their annual birth rate to just under 100 births per 1,000 women.  This arithmetic is admittedly (shall we say) speculative, but it seems clear that the good Christian women in Frost’s political fantasies will have their work cut out for them.

Now, it turns out there may be a silver lining for Republicans in all this data.  The same Pew research that found that conservatives had a surplus of men also found that liberals had more women and might not have enough men to go around.  This creates an opportunity for those extra conservative males to try their luck with liberal women (friendly pro tip: leave the MAGA cap in the pick-up).

Of course, such a development might create an entirely new classification problem for the Department of Public Health.  DPH keeps track of all the state’s births and deaths and classifies them in different ways – including ethnicity and race (white, black, multiracial).  If a Republican cross-pollination initiative works, DPH might have to add a political classification – Republican, Democrat, or Multi-partisan.

A first look at county-level GDP (with new maps and graphics)

First, a brief announcement: Trouble in God’s Country has a new toy.  I’ve known for a while that I needed some way beyond mere words to communicate all the data I’ve piled up, and recently I began looking around out here on the internet at various mapping programs.  Most of them gave me a headache.

But eventually I found my way to a web-based program called Tableau Public, and then got kickstarted in the use of the program with the help of a couple of smart young Tableau pros.  Apparently old dogs can learn new tricks.

I am, however, very much a Tableau newbie and am still figuring out how to do various things with the software.  In the post that follows, for instance, I would have liked to have been able to embed one of my new live interactive maps or charts, but I haven’t quite been able to break the code on that yet.  Instead, I’ve had to settle for using this static map and including a link, in the body of the post below, that will take you to a little interactive material at Tableau Public’s website.


With that as preface, herewith some further notes on the widening economic divide between Metro Atlanta and the rest of Georgia:

The U.S. Bureau of Economic Analysis (BEA), a unit of the Commerce Department, last December published (to virtually no fanfare, as nearly as I can determine) the very first county-level gross domestic product (GDP) figures ever produced.  BEA billed the new data as a prototype, but still, you’d have thought it would have been a bigger deal.

A dive into the Georgia data suggests a couple of things.  First, it basically confirms that nearly two-thirds of the state’s economic muscle is concentrated in TIGC’s 12-county Metro Atlanta region.  The most recent Internal Revenue Service (IRS) data available, for the 2016 tax year, puts Metro Atlanta’s share of the state’s federal taxes at 65.8 percent.  The new BEA data puts Metro Atlanta’s share of 2015 GDP at 63.8 percent – but rising fast.

The real news here is, indeed, the growth rate.  BEA’s new prototype includes data for the years 2012 through 2015.  Over that period, Georgia’s overall GDP expanded from $444.1 billion to $513.1 billion – an increase of just under $69 billion, or 15.53 percent.

But $50 billion of that growth – 72.5 percent – took place in Metro Atlanta.  As a result, Metro Atlanta’s share of GDP expanded 1.4 percentage points in just four years.  In my experience, these kinds of numbers evolve at a more glacial pace – usually hundredths of a point per year rather than tenths.  All four other regions lost a little share of GDP, as this table shows.

Georgia GDP Table

A few other nuggets:

  • Twenty-one counties saw their GDP shrink between 2012 and 2015.
    Georgia County GDP Change Map

    GDP grew in the counties in blue and contracted in the ones in orange; the darker the color, the more extreme the change.

    Tiny Baker County in southwest Georgia led this race to the bottom; its GDP cratered 29.7 percent, dropping from $97.2 million in 2012 to $68.4 million in 2015.  Not far behind was neighboring Calhoun County, where the GDP fell 17.8 percent during the same period – from $113.2 million to $93.1 million.  (You can find an interactive map showing the percentage change in GDP for each county between 2012 and 2015 here:

  • At the other end of the spectrum, it’s worth noting that four small South Georgia counties led the state in percentage growth over that same period – Telfair County (71.4%), Lanier County (47.9%), Stewart County (47.9%), and Wheeler County (42.4%). While that growth is obviously impressive and encouraging for those counties, their growth combined contributed less $300 million in new GDP to the state’s economy.  By comparison, exurban Dawson County, north of Metro Atlanta, grew by more than double that amount.
  • In December 2016, I published a TIGC post comparing all 56 counties of interior South Georgia to Gwinnett County alone and making the point that Gwinnett County outperformed South Georgia in any metric you could find – economic, educational, public health, etc. The same is true with GDP.  Gwinnett County’s 2015 GDP was $43.5 billion to South Georgia’s $34.3 billion.  In fact, the same can be said of Cobb County, DeKalb County and, of course, Fulton County.  Fulton’s 2015 GDP of $157.4 billion is, in fact, larger than the combined GDP’s of my Middle, South and Coastal Georgia regions – 106 counties altogether.
  • The BEA report breaks the GDP data into three components – “private goods-producing industries,” “private services-providing industries,” and “government and government enterprises.” One mild surprise (at least to me) was how little the government sector contributed to Metro Atlanta’s GDP and how large a part it was of the other regions’ economies.  Despite the fact that the 12-county Metro Atlanta region is home to probably a hundred local governments, Georgia state government, and the regional offices of numerous federal agencies, the government sector made up only eight percent of Metro Atlanta’s $327.3 billion GDP in 2015.  In contrast, it makes up 24.3 percent of the much smaller GDP in both Middle Georgia and Coastal Georgia, no doubt because of the military bases strung across the belly of the state and along the coast, plus the ports at Savannah and Brunswick.  South Georgia’s government share of GDP in 2015 was 20.5 percent; North Georgia’s, 13.2 percent.

This last bullet should tell you why local, state and national politicians used to go a little crazy every time there was new round of military base closings under the old Base Realignment and Closure (BRAC) process, and why Congress basically killed it several years ago (try to imagine Middle Georgia without Robins Air Force Base).  It also underscores an observation that came into focus early in my TIGC research: communal investments are critical to building a local economy.  I have yet to find a prosperous Georgia community that doesn’t have some sort of important public institution.

Is there a relationship between community prosperity and foreign-born populations?

I’m a messy and disorganized researcher.  Within an hour or so after diving into a new piece of research my desk and the floor around me are littered with scraps of paper and notes.  I’m also easily distracted.  I’m bad about being drawn to bits and pieces of information that aren’t central to what I’m trying to focus on.

It happened a week or so ago when I was mucking around in a mega-spreadsheet of data shared with me some months back by the Economic Innovation Group (EIG)[i], a Washington think-tank that has studied and ranked all the counties and cities (with populations of 50,000 or more) in the country on various metrics measuring prosperity and, more specifically, “distress” on a community.

For some reason, my eye kept drifting out to column AF, the 29th and very last column on the far right-hand edge of the spreadsheet.  It showed the percentage of foreign-born population for each community.

The reason it kept catching my eye was that it seemed, in my casual observation as I was working on my last post, that communities with higher percentages of foreign-born residents were doing better than those with lower percentages.  I noticed, for example, that the foreign-born population in Albany, which has the worst Distressed Community Index (DCI) score of any city in Georgia (and one of the worst in the country), was less than three percent of the total population.  In contrast, Alpharetta’s population is 23.3 percent foreign-born and it posted the best DCI score in the state.

So, I decided to take a deeper dive.  I’m not trained as a statistician, so I’m not prepared to say there’s a correlation, let alone a causal relationship.  But there are absolutely some interesting patterns.  A more comprehensive look at all the Georgia cities included in EIG’s dataset provides one (those with populations of 50,000 and up), as this graph shows.Foreign-Born Pops and EIG Scores

The five Georgia cities with the best DCI scores all had significant foreign-born populations.  As EIG’s DCI score hit 50, the midpoint, the percentage of foreign-born residents in a city started to drop precipitously.  About the only things interrupting a nearly perfect inverse relationship between rising DCI scores and falling foreign-born populations was Athens-Clarke, a university city with a significant foreign-born faculty and student body.

Then another comparison occurred to me.  In December 2016 I wrote a piece contrasting Gwinnett County to all 56 counties of interior South Georgia.  That contrast was not charitable to South Georgia.  Among other things, I found that Gwinnett County, with only about three-fourths the population of the 56 South Georgia counties, generated 22 percent more in personal income and nearly 50 percent more in federal taxes.  At the same time, it consumed substantially less in social services – less than a third as much in Medicaid costs, for example.

At the time, I wasn’t looking at immigration or foreign-born populations or even thinking about whether there was a relationship between immigration and the overall prosperity of a community.  But, for what it’s worth, it turns out that Gwinnett County has the second-highest proportion of foreign-born residents in the state, 24.7 percent.[ii]  Its overall distress score is 9.0, which puts it 10th in the state and 282nd in the nation.  Gwinnett also does well in other rankings – 15th best in the latest Georgia Department of Community Affairs (DCA) Job Tax Credit Rankings[iii] and 5th in the Robert Wood Johnson Foundation’s latest county rankings for health outcomes.

The proportion of foreign-born residents in the 56 South Georgia counties works out to 4.2 percent – fewer than 50,000 people altogether – not even a fourth of the 216,000 foreign-born residents in Gwinnett County.  More than 100 languages are spoken in Gwinnett County’s public schools, which, not for nothing, is the only school system in America to win the prestigious Broad Prize for education twice – first in 2010 and again in 2014.

Gwinnett County is, in fact, already a majority-minority county.  Only 40.3 percent of the county’s population is non-Hispanic white; blacks make up 25.4 percent of the population; Hispanics, 20.5 percent, and Asians or Pacific Islanders, 11.1 percent.

The same sort of picture emerges when you look at this through the prism of my “Trouble in God’s Country” regions.  My 12-county Metro Atlanta region, which generates the lion’s share of the state’s economic output, is home to about 47 percent of the overall population but nearly 72 percent of the foreign-born population.  As this table shows, Metro Atlanta is the only Trouble in God’s Country region where the percentage of foreign-born residents hits double digits.

Total Population % of the Population Foreign-Born Foreign-Born Population (Calculated)
Metro Atlanta 4,727,376 15.1% 715,490
Coastal Ga 579,879 5.4% 31,081
Middle Ga 1,749,350 3.9% 68,737
North Ga 1,882,410 6.9% 130,606
South Ga 1,160,305 4.2% 48,599
Totals 10,099,320 9.8% 994,513


Now, this is not to suggest that an infusion of foreign-born residents into a local population is a guarantee of improved economic and civic conditions.  You can absolutely find examples of communities with low percentages of foreign-born populations that are doing well.  And there are differences between the groups of cities shown in the chart above that should be acknowledged.

Geography is one.  All the cities with high distress scores and single-digit percentages of foreign-born residents are located from about the gnat line south; all the cities with low distress scores and double-digit percentages of foreign-borns are clustered across Metro Atlanta’s prosperous northern arc (as is Gwinnett County, and, for that matter, Cobb County, whose profile is fairly similar to Gwinnett’s).

So it may be that immigrants finding their way to Georgia migrated naturally to the most prosperous areas.  Or it may be that they don’t like gnats.  I blame the gnats.


[i] Much of the raw data used in this post, and in the chart above, was provided to the author under license by the Economic Innovation Group (EIG), but the analysis and observations are entirely my own – as are any errors I might have made.  EIG does not guarantee the accuracy or reliability of, or necessarily agree with, the information in this article.

[ii] The only county with a higher percentage of foreign-born residents than Gwinnett is hapless Stewart County, in southwest Georgia.  The nearly 1,700 foreign-born residents there constitute about 29 percent of the local population, but you probably wouldn’t know it from walking down the street in Lumpkin, the county seat, since virtually all of them are locked up in a federal Bureau of Immigration and Customs Enforcement prison.

[iii] The Georgia Department of Community Affairs issues Job Tax Credit rankings each year, based on a formula built around local per capita income, poverty rates, and unemployment rates.  Because the purpose of the program is to try to drive economic development in Georgia’s poorer areas, it ranks the counties from worst to best.  On that list, Gwinnett County ranks 145th.  For my purposes, I reverse the DCA list to produce a best-to-worst ranking.


Putting the divide between Georgia’s rural and urban counties into perspective

One of the hard things about telling the “Trouble in God’s Country” story is figuring out how to explain the magnitude of Georgia’s urban-rural divide in ways that are actually useful – to the general public as well as policy makers.    It’s not exactly news that Metro Atlantans are more prosperous economically, better educated and healthier than their country cousins.

And, we’ve long had various types of county rankings, and one county is always No. 1 and another is No. 159.  (Right now, Forsyth County ranks first in most categories you can come up with, and we have something of a barroom brawl amongst a fair-sized group counties to see which is at the bottom of the heap in Georgia.  More later on this.)

But rankings don’t give you a real sense of the gap between Georgia’s best and worst, or whether that gap is getting bigger or smaller.  Lately I’ve been wallowing around in various piles of national and 50-state data to see if I could find anything that might be helpful.  I’ve still got more work to do, but herewith a few nuggets from my wallowing to date:

  • The gap between Georgia’s best-off and worst-off counties is probably bigger than in just about any other state. I’ve got a couple of sources on this.  One is from a Washington think tank called the Economic Innovation Group (EIG).  EIG has pulled together several tons of economic, educational, poverty and housing data on all 3,000-plus counties in the country and generated what it calls a “Distressed Communities Index,” or DCI, for each county.  Then it used those index scores to create national rankings.  The best possible DCI is 1 and the worst is 100.  For 2017, the top Georgia county in EIG’s rankings was Oconee County, with a DCI of 1.1 (Forsyth County came in second with a DCI of 1.6).  Oconee ranked 34th nationally; Forsyth, 49th.  At the very bottom of the EIG rankings, in 3,124th place, was Stewart County, with a DCI score of 99.9.  That’s about as big a divide as you can find.  Also worth mentioning: Stewart County had some real competition for that last-place finish.  Five other Georgia counties were nipping at its heels in a race to the bottom: Macon, Hancock, Calhoun, Wheeler and Taliaferro counties all had Distressed Community Indexes of more than 99.
  • My second pot of data on this comes from the folks at County Health Rankings & Roadmaps. Because their data is presented on a state-by-state basis, it takes a little work to build a national picture.  Their report includes premature death rates for 2,900 counties (a couple of hundred had such small populations that they couldn’t generate reliable rates).  Premature death rates – known formally as Years of Potential Life Lost before Age 75, or YPLL 75 – are sort of the Dow Jones Industrial Average of population health.  It’s the best single number to watch to get a feel for the general health of a community.  (EIG, by the way, doesn’t include any health data in its DCI calculations, so this is a useful complement to its work.)  In these rankings, Forsyth is the top-ranked Georgia county and Oconee came in 2nd; their national ranks were 55th and 185th, respectively, and their respective YPLL 75 rates were 4265 and 5283 (with YPLL 75 rates, the lower the number, the better).  At the bottom of this list of 2,900 counties, we find a somewhat different list of Georgia counties.  Miller County came in 2,866th with a YPLL 75 rate of 15646; Warren County did a little better, finishing 2,862nd with a rate of 15422.  Twiggs County came in 2,850th with a score of 15001 and Quitman County finished at 2,841st with a rate of 14,797.  These are truly third-world numbers and obviously among the worst in the nation.
  • One of the things that becomes clear from studying the EIG and County Health Rankings data is that it’s not just rural areas that are in trouble. Just about every major population center outside Metro Atlanta ranks poorly nationally on just about every metric available.  Worst-off is Albany, which posted a 2017 EIG Distress Score of 99.1 and finished 8th on EIG’s list of America’s most-distressed small cities – just barely ahead of Flint, Michigan.  But most of Georgia’s other regional cities didn’t fare a lot better.  On EIG’s list of cities with populations of more than 50,000, Athens-Clarke County, Augusta-Richmond County, Columbus and Valdosta all finished in the bottom quintile nationally, and Savannah just barely avoided falling into the lowest grouping.  (For some reason, EIG didn’t include Macon on its list of Georgia cities, but Bibb County was the second-worst major Georgia county on EIG’s county list, not far ahead of Albany’s Dougherty County.)  The City of Atlanta was in the middle of the pack nationally, with a DCI score of 59.6.  At the top of the Georgia pile was the City of Alpharetta, which ranked 21st nationally with a Distress Score of 2.6 (again, contrast that with Albany’s 99.1 and you find about as big a divide as possible between otherwise comparable Georgia cities).  I won’t go into detail here, but the same is generally true with the County Health Rankings data; Muscogee, Bibb, Richmond and Dougherty all finish in the bottom 500 of the 2,900 counties it ranked nationally.

I think this is important because I’ve long believed that any effort to improve Georgia’s rural areas has to include – and probably start with – the regional hub communities.  Whether they like to admit it or not, rural areas depend on those major populations centers for a wide range of support systems, including employment, healthcare, education and shopping.  If the Macons and Augustas are allowed to slip past some hard-to-discern tipping point, it may well doom dependent rural areas for multiple generations.  As a practical matter, it may already be too late for Albany and much of Southwest Georgia, where the population that isn’t already packing up and leaving is among the least-educated and least-healthy in the nation (if not the world).


Following are four tables showing the top and bottom 10 Georgia counties in the Economic Innovation Group’s 2017 Distressed Communities Index scores and rankings, and premature death rates as published by County Health Rankings & Roadmaps.  The national rankings shown with the premature death data were developed by the writer by assembling a spreadsheet combining County Health Rankings & Roadmap’s from all 50 states and the District of Columbia.

EIG Top 10 Georgia Counties – 2017
County Region EIG Distress Score EIG National Rank
Oconee North Georgia 1.1 34
Forsyth Metro Atlanta 1.6 49
Cherokee Metro Atlanta 2.9 92
Fayette Metro Atlanta 4.9 152
Paulding Metro Atlanta 5.2 163
Coweta Middle Georgia 5.6 174
Cobb Metro Atlanta 6.1 191
Harris Middle Georgia 8.3 261
Henry Metro Atlanta 11.6 362
Gwinnett Metro Atlanta 12.0 375


EIG Bottom 10 Georgia Counties – 2017
County Region EIG Distress Score EIG National Rank
Jefferson Middle Georgia 97.8 3,057
Sumter South Georgia 98.1 3,065
Lanier South Georgia 98.4 3,075
Telfair South Georgia 98.9 3,093
Macon Middle Georgia 99.1 3,099
Hancock Middle Georgia 99.5 3,110
Calhoun South Georgia 99.7 3,117
Wheeler South Georgia 99.8 3,119
Taliaferro North Georgia 99.8 3,120
Stewart South Georgia 99.9 3,124


County Health Rankings & Roadmaps

Top 10 Georgia Counties for Premature Death (2015-2017)

County Region Premature Death Rate National Rank
Forsyth Metro Atlanta 4265 55
Oconee North Georgia 5131 185
Gwinnett Metro Atlanta 5283 223
Fayette Metro Atlanta 5521 278
Cobb Metro Atlanta 5605 299
Cherokee Metro Atlanta 5654 315
Columbia North Georgia 6084 466
Harris Middle Georgia 6104 476
Wheeler South Georgia 6384 581
Echols South Georgia 6476 633


County Health Rankings & Roadmaps

Bottom 10 Georgia Counties for Premature Death (2015-2017)

County Region Premature Death Rate National Rank
Crisp South Georgia 11837 2,639
Emanuel Middle Georgia 11862 2,645
Clinch South Georgia 12262 2,694
Clay South Georgia 12341 2,706
Jeff Davis South Georgia 12805 2,742
Candler South Georgia 13551 2,792
Quitman South Georgia 14797 2,841
Twiggs Middle Georgia 15001 2,850
Warren Middle Georgia 15422 2,862
Miller South Georgia 15646 2,866


© Trouble in God’s Country 2019

Coming to Rural Georgia from Outer Space: Broadband Internet Service

I’ve been arguing pretty much since the rural broadband craze started that we’d be nuts to plow probably at least a billion tax dollars — most of it from Metro Atlanta — into running fiber to Georgia’s most sparsely populated counties.

Give the private sector and advancing technology time, I’ve felt, and we’ll probably get a better solution long before the state could plow up all the red clay in rural Georgia and put fiber in the ground.

Satellite-based internet has been around for years, although one of the legitimate raps on its potential as a consumer solution has been speed: the satellites are so far above the Earth that it takes a while for the signal to bounce back and forth.

Well, now comes SpaceX with the launch of 60 low-orbit satellites designed to solve that problem:

Per the New York Times’s story, these new satellites will orbit the planet at a much lower altitude than the current 22,000 miles: “The Starlink satellites will orbit much lower — between 210 and 710 miles above the surface. That reduces the lagginess, or latency. SpaceX has said performance should be comparable to ground-based cable and optical fiber networks that carry most internet traffic today. Starlink would provide high-speed internet to parts of the world that currently are largely cut off from the modern digital world.”

The Times’s story indicates it’ll take nearly 2,000 of these low-orbit satellites to blanket the planet, but my hunch is SpaceX will get that done long before the State of Georgia could hardwire rural Georgia — and we won’t have to pay for it.