Counties where children have the best opportunity for economic mobility in South Dakota

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Jacob Boomsma // Shutterstock
Jacob Boomsma // Shutterstock

Americans have long understood that their birthplace can significantly affect their futures, and academics have increasingly been able to connect tangible early life factors like where they live and the friendships they've cultivated with potential future income.

Among the most recent studies shedding light on what's known as economic mobility—a person's ability to move themselves and their families up the socioeconomic ladder over their lifetime—are a series of papers authored by Harvard University researchers leveraging vast troves of social networking data.

As part of a national analysis, Wealth Enhancement Group used data from Harvard University's Social Capital Atlas project to identify where in South Dakota children have the best (and worst) chances at upward economic mobility.

The research draws on a privacy-protected dataset representing 21 billion friendships from Facebook made public through its parent company Meta's Data for Good project. It also uses anonymous tax records, according to the authors. The scholars assigned a score to locales according to how economically connected low- and high-income people living in the area have historically been over at least a decade, per that data. The dataset does not include scores for about 180 of the 3,000 or so counties in the U.S.

The research attempts to fill in the gaps of previous efforts to study American economic mobility that did not consider a person's vast social networks nor their importance in creating better lives for themselves and their children.

It turns out the ability to cultivate friendships linking people of different socioeconomic backgrounds with one another is the strongest factor in determining whether a child can surpass the earning potential of their parents, Harvard researchers found. They call this economic connectedness.

Read on to find out where economic connectedness is strongest in your state.

#50. Beadle County

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#50. Beadle County

- Economic connectedness: 0.7
- Median Income: $56,692
- Population: 18,959
--- 76.5% white
--- 0.9% Black
--- 1.2% American Indian and Alaska Native
--- 7.7% Asian
#49. Pennington County

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#49. Pennington County

- Economic connectedness: 0.84
- Median Income: $62,546
- Population: 108,707
--- 80.6% white
--- 1.2% Black
--- 8.6% American Indian and Alaska Native
--- 1.2% Asian
#48. Walworth County

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#48. Walworth County

- Economic connectedness: 0.85
- Median Income: $51,746
- Population: 5,355
--- 79.5% white
--- 3.7% Black
--- 12% American Indian and Alaska Native
--- 0.2% Asian
#47. Tripp County

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#47. Tripp County

- Economic connectedness: 0.86
- Median Income: $52,274
- Population: 5,615
--- 79.6% white
--- 0.7% Black
--- 16% American Indian and Alaska Native
--- 0.5% Asian
#46. Marshall County

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#46. Marshall County

- Economic connectedness: 0.9
- Median Income: $69,236
- Population: 4,373
--- 84% white
--- 0.1% Black
--- 7.2% American Indian and Alaska Native
--- 0% Asian
#45. Fall River County

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#45. Fall River County

- Economic connectedness: 0.9
- Median Income: $51,007
- Population: 6,979
--- 84.7% white
--- 0% Black
--- 8.6% American Indian and Alaska Native
--- 1% Asian
#44. Minnehaha County

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#44. Minnehaha County

- Economic connectedness: 0.9
- Median Income: $66,502
- Population: 194,884
--- 83.2% white
--- 6.1% Black
--- 2% American Indian and Alaska Native
--- 2% Asian
#43. Moody County

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#43. Moody County

- Economic connectedness: 0.9
- Median Income: $66,000
- Population: 6,335
--- 77.3% white
--- 0.9% Black
--- 11.9% American Indian and Alaska Native
--- 2% Asian
#42. Butte County

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#42. Butte County

- Economic connectedness: 0.93
- Median Income: $48,941
- Population: 10,167
--- 91% white
--- 0.4% Black
--- 1.7% American Indian and Alaska Native
--- 0.2% Asian
#41. Yankton County

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#41. Yankton County

- Economic connectedness: 0.94
- Median Income: $67,052
- Population: 23,213
--- 89.5% white
--- 1.4% Black
--- 3.6% American Indian and Alaska Native
--- 0.2% Asian
#40. Brule County

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#40. Brule County

- Economic connectedness: 0.94
- Median Income: $60,857
- Population: 5,247
--- 83.7% white
--- 1.2% Black
--- 13.2% American Indian and Alaska Native
--- 0.4% Asian
#39. Hamlin County

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#39. Hamlin County

- Economic connectedness: 0.94
- Median Income: $71,923
- Population: 6,127
--- 96.2% white
--- 0.2% Black
--- 0.1% American Indian and Alaska Native
--- 0.4% Asian
#38. Hughes County

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#38. Hughes County

- Economic connectedness: 0.95
- Median Income: $77,725
- Population: 17,829
--- 81.7% white
--- 0.1% Black
--- 11.6% American Indian and Alaska Native
--- 0% Asian
#37. Gregory County

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#37. Gregory County

- Economic connectedness: 0.95
- Median Income: $44,654
- Population: 4,004
--- 88.1% white
--- 1.2% Black
--- 7.1% American Indian and Alaska Native
--- 0% Asian
#36. Davison County

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#36. Davison County

- Economic connectedness: 0.96
- Median Income: $50,900
- Population: 19,944
--- 92.1% white
--- 0.8% Black
--- 1.9% American Indian and Alaska Native
--- 0.9% Asian
#35. Grant County

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#35. Grant County

- Economic connectedness: 0.97
- Median Income: $70,483
- Population: 7,550
--- 92.9% white
--- 0.3% Black
--- 0.5% American Indian and Alaska Native
--- 1% Asian
#34. Brown County

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#34. Brown County

- Economic connectedness: 0.97
- Median Income: $63,805
- Population: 38,471
--- 86.6% white
--- 2.5% Black
--- 3.5% American Indian and Alaska Native
--- 3.5% Asian
#33. Stanley County

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#33. Stanley County

- Economic connectedness: 0.98
- Median Income: $76,402
- Population: 2,963
--- 91.1% white
--- 0.6% Black
--- 3.4% American Indian and Alaska Native
--- 0% Asian
#32. Jerauld County

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#32. Jerauld County

- Economic connectedness: 1.
- Median Income: $58,375
- Population: 1,811
--- 91.3% white
--- 0% Black
--- 1.6% American Indian and Alaska Native
--- 0% Asian
#31. Meade County

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#31. Meade County

- Economic connectedness: 1.01
- Median Income: $68,242
- Population: 29,561
--- 89.3% white
--- 1.8% Black
--- 2.7% American Indian and Alaska Native
--- 1% Asian
#30. Sanborn County

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#30. Sanborn County

- Economic connectedness: 1.01
- Median Income: $58,409
- Population: 2,371
--- 96% white
--- 0% Black
--- 0.4% American Indian and Alaska Native
--- 0.4% Asian
#29. Aurora County

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#29. Aurora County

- Economic connectedness: 1.02
- Median Income: $64,960
- Population: 2,649
--- 94.3% white
--- 1.1% Black
--- 2.5% American Indian and Alaska Native
--- 0.1% Asian
#28. Custer County

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#28. Custer County

- Economic connectedness: 1.03
- Median Income: $68,736
- Population: 8,360
--- 91.4% white
--- 0.8% Black
--- 2.9% American Indian and Alaska Native
--- 0.3% Asian
#27. Haakon County

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#27. Haakon County

- Economic connectedness: 1.03
- Median Income: $51,016
- Population: 1,868
--- 94.1% white
--- 0.1% Black
--- 3.7% American Indian and Alaska Native
--- 0% Asian
#26. Codington County

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#26. Codington County

- Economic connectedness: 1.04
- Median Income: $61,496
- Population: 28,289
--- 92.9% white
--- 0.9% Black
--- 2.1% American Indian and Alaska Native
--- 0.6% Asian
#25. Hyde County

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#25. Hyde County

- Economic connectedness: 1.04
- Median Income: $66,328
- Population: 1,381
--- 92.3% white
--- 1.7% Black
--- 1.3% American Indian and Alaska Native
--- 0% Asian
#24. Lawrence County

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#24. Lawrence County

- Economic connectedness: 1.04
- Median Income: $56,166
- Population: 25,687
--- 92% white
--- 1% Black
--- 2.1% American Indian and Alaska Native
--- 0.7% Asian
#23. Clark County

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#23. Clark County

- Economic connectedness: 1.04
- Median Income: $54,473
- Population: 3,791
--- 94.4% white
--- 0.6% Black
--- 0.1% American Indian and Alaska Native
--- 0.4% Asian
#22. Day County

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#22. Day County

- Economic connectedness: 1.05
- Median Income: $52,775
- Population: 5,487
--- 86.1% white
--- 0.1% Black
--- 10.8% American Indian and Alaska Native
--- 0.1% Asian
#21. Lake County

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#21. Lake County

- Economic connectedness: 1.07
- Median Income: $67,297
- Population: 11,358
--- 93.8% white
--- 0.4% Black
--- 2.3% American Indian and Alaska Native
--- 0.1% Asian
#20. Edmunds County

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#20. Edmunds County

- Economic connectedness: 1.07
- Median Income: $69,732
- Population: 4,005
--- 96.3% white
--- 0.3% Black
--- 1.4% American Indian and Alaska Native
--- 0.1% Asian
#19. Spink County

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#19. Spink County

- Economic connectedness: 1.08
- Median Income: $63,802
- Population: 6,408
--- 94.6% white
--- 1.7% Black
--- 0.7% American Indian and Alaska Native
--- 0% Asian
#18. Bon Homme County

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#18. Bon Homme County

- Economic connectedness: 1.1
- Median Income: $53,575
- Population: 7,020
--- 86.8% white
--- 1.6% Black
--- 6.7% American Indian and Alaska Native
--- 0.2% Asian
#17. Clay County

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#17. Clay County

- Economic connectedness: 1.12
- Median Income: $56,077
- Population: 14,816
--- 86.5% white
--- 1.8% Black
--- 3.2% American Indian and Alaska Native
--- 2.9% Asian
#16. Brookings County

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#16. Brookings County

- Economic connectedness: 1.12
- Median Income: $59,178
- Population: 34,315
--- 90.6% white
--- 1.3% Black
--- 1.1% American Indian and Alaska Native
--- 3.1% Asian
#15. Douglas County

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#15. Douglas County

- Economic connectedness: 1.12
- Median Income: $66,750
- Population: 2,838
--- 94.2% white
--- 1.5% Black
--- 1.1% American Indian and Alaska Native
--- 0% Asian
#14. Hutchinson County

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#14. Hutchinson County

- Economic connectedness: 1.12
- Median Income: $62,448
- Population: 7,412
--- 92.8% white
--- 0% Black
--- 0.6% American Indian and Alaska Native
--- 0.5% Asian
#13. McCook County

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#13. McCook County

- Economic connectedness: 1.13
- Median Income: $72,063
- Population: 5,676
--- 95.6% white
--- 0.2% Black
--- 0.4% American Indian and Alaska Native
--- 0% Asian
#12. Turner County

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#12. Turner County

- Economic connectedness: 1.14
- Median Income: $66,199
- Population: 8,621
--- 95.8% white
--- 0.5% Black
--- 0.5% American Indian and Alaska Native
--- 0.4% Asian
#11. Perkins County

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#11. Perkins County

- Economic connectedness: 1.15
- Median Income: $59,432
- Population: 2,977
--- 94.4% white
--- 0% Black
--- 2.8% American Indian and Alaska Native
--- 0.9% Asian
#10. Lincoln County

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#10. Lincoln County

- Economic connectedness: 1.16
- Median Income: $87,560
- Population: 63,233
--- 92.6% white
--- 2.2% Black
--- 0.2% American Indian and Alaska Native
--- 1.5% Asian
#9. McPherson County

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#9. McPherson County

- Economic connectedness: 1.16
- Median Income: $54,324
- Population: 2,245
--- 96.3% white
--- 1.3% Black
--- 0.4% American Indian and Alaska Native
--- 0.3% Asian
#8. Kingsbury County

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#8. Kingsbury County

- Economic connectedness: 1.16
- Median Income: $62,634
- Population: 5,131
--- 95.4% white
--- 0% Black
--- 1.3% American Indian and Alaska Native
--- 0.1% Asian
#7. Union County

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#7. Union County

- Economic connectedness: 1.18
- Median Income: $80,238
- Population: 16,424
--- 92% white
--- 0.4% Black
--- 1.2% American Indian and Alaska Native
--- 1.5% Asian
#6. Deuel County

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#6. Deuel County

- Economic connectedness: 1.18
- Median Income: $70,808
- Population: 4,283
--- 97.8% white
--- 0% Black
--- 0.3% American Indian and Alaska Native
--- 0% Asian
#5. Miner County

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#5. Miner County

- Economic connectedness: 1.19
- Median Income: $56,351
- Population: 2,293
--- 94.3% white
--- 0.1% Black
--- 0.8% American Indian and Alaska Native
--- 0.9% Asian
#4. Hand County

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#4. Hand County

- Economic connectedness: 1.21
- Median Income: $61,121
- Population: 3,061
--- 94.4% white
--- 0.2% Black
--- 0% American Indian and Alaska Native
--- 0.3% Asian
#3. Hanson County

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#3. Hanson County

- Economic connectedness: 1.21
- Median Income: $75,132
- Population: 3,429
--- 96.6% white
--- 0% Black
--- 0% American Indian and Alaska Native
--- 0% Asian
#2. Faulk County

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#2. Faulk County

- Economic connectedness: 1.22
- Median Income: $53,056
- Population: 2,157
--- 97.2% white
--- 0% Black
--- 0.6% American Indian and Alaska Native
--- 0% Asian
#1. Potter County

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#1. Potter County

- Economic connectedness: 1.24
- Median Income: $59,408
- Population: 2,613
--- 91.1% white
--- 0.2% Black
--- 2.9% American Indian and Alaska Native
--- 2.3% Asian

This story features data reporting and writing by Dom DiFurio and is part of a series utilizing data automation across 50 states.