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"The statistics in the Color of Money demonstrate the point we all know intuitively: communities of color and the poor are severely underrepresented because of their inability to keep pace with the campaign contributions from wealthier, non-minority communities. The disparity underscores why legislators spend 100 hours on telecommunications reform and 10 hours on welfare reform."

-Dr. William E. Spriggs, Executive Director, National Urban League Institute for Opportunity and Equality

 

 

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South Carolina

South Carolina: COMPARING THE 2004 PRESIDENTIAL CANDIDATES (Methodology)

Presidential Candidate

Total individual ($200+) federal contributions

Per capita (population 18 and over)

Percent from predominantly Non-Hispanic white zip codes

(non-Hispanic white population is equal to or more than 50% of the population)

Percent from zip codes predominantly people of color

(population that is not non-Hispanic white is equal or more than 50% of the population)

Percent from wealthy zip codes

(more than 24.6% of households making $100,000/year or higher, twice the national average)

Percent from zip codes with high levels of poverty

(more than 23.5% of households in poverty, twice the national average)

George W. Bush (R)

$2,625,233

$0.87

87.4%

12.6%

4.4%

7.7%

 

John Edwards (D)

$343,069

$0.11

86.8%

13.2%

6.0%

10.0%

John Kerry (D)

$231,047

$0.08

85.8%

14.2%

7.0%

5.7%

Howard Dean (D)

$69,082

$0.02

86.8%

13.2%

8.3%

9.7%

Wesley Clark (D)

$63,000

$0.02

77.4%

22.6%

8.7%

6.7%

Joe Lieberman (D-Conn)

$51,300

$0.02

88.8%

11.2%

4.4%

17.1%

Richard A. Gephardt (D)

$34,430

$0.01

78.8%

21.2%

2.9%

12.1%

Carol Moseley Braun (D)

$12,564

$0.00

40.3%

59.7%

2.0%

22.0%

Bob Graham (D)

$6,500

$0.00

57.7%

42.3%

0.0%

0.0%

Al Sharpton (D)

$5,500

$0.00

35.5%

64.5%

0.0%

3.6%

Dennis J. Kucinich (D)

$1,650

$0.00

69.7%

30.3%

0.0%

30.3%

All Democrats

$818,142

$0.27

84.3%

15.7%

6.3%

9.1%

 

Ralph Nader (3)

$3,250

$0.00

100.0%

0.0%

0.0%

92.3%





Top Contributing Zip Codes in South Carolina for All Candidates (Individual Federal Contributions ($200+)) (Methodology)
(Click on a column heading to sort that column in Ascending   Descending  order)

zip code

Total individual ($200+) federal contributions

Population 18 and over

Per capita contributions

%Asian Pacific American

%African American

%Latino

%Other

%non-Hispanic white

%households over $100K

%households below poverty level

29501
Florence, SC

$204,900

29358

$6.98

1.2%

25.2%

0.9%

0.5%

72.2%

11.3%

11.4%

29605
Greenville, SC

$162,100

23008

$7.05

0.4%

43.0%

2.1%

0.4%

54.0%

10.5%

15.8%

29206
Columbia, SC

$123,293

16011

$7.70

1.9%

18.8%

3.9%

0.6%

74.8%

17.0%

6.0%

29607
Greenville, SC

$110,925

21482

$5.16

1.7%

29.0%

3.2%

0.5%

65.6%

12.1%

11.9%

29615
Greenville, SC

$109,435

25282

$4.33

3.0%

8.1%

4.9%

0.6%

83.4%

17.2%

6.3%

29302
Spartanburg, SC

$103,550

13639

$7.59

3.5%

15.2%

1.1%

0.4%

79.8%

14.3%

8.0%

29401
Charleston, SC

$102,550

10147

$10.11

1.0%

8.0%

1.2%

0.4%

89.4%

23.5%

18.2%

29928
Hilton Head Island, SC

$102,275

14867

$6.88

0.6%

3.2%

9.1%

0.5%

86.5%

28.1%

4.5%

29205
Columbia, SC

$101,600

21180

$4.80

2.2%

19.6%

2.2%

0.6%

75.4%

11.6%

16.2%

29601
Greenville, SC

$88,700

8518

$10.41

0.8%

50.1%

2.1%

0.5%

46.6%

8.4%

24.0%

29464
Mount Pleasant, SC

$83,125

30002

$2.77

1.2%

9.4%

1.3%

0.5%

87.5%

19.2%

5.8%

29650
Greer, SC

$81,950

17327

$4.73

4.1%

6.0%

3.8%

0.6%

85.5%

24.1%

6.6%

29223
Columbia, SC

$68,890

32811

$2.10

4.0%

40.2%

4.4%

0.8%

50.7%

15.5%

7.6%

29926
HILTON HEAD ISLAND, SC

$67,166

15047

$4.46

0.6%

9.9%

10.7%

0.4%

78.4%

23.4%

6.2%

29201
Columbia, SC

$65,450

14894

$4.39

3.8%

33.3%

2.3%

0.7%

59.8%

5.3%

29.0%

29209
Columbia, SC

$62,300

21007

$2.97

2.3%

39.3%

2.2%

0.6%

55.6%

11.2%

10.6%

29621
Anderson, SC

$60,440

24434

$2.47

1.0%

15.6%

1.1%

0.5%

81.9%

12.3%

9.4%

29681
Simpsonville, SC

$59,225

21243

$2.79

1.7%

8.4%

2.3%

0.5%

87.2%

23.4%

3.6%

29204
Columbia, SC

$57,825

17301

$3.34

0.6%

57.5%

1.5%

0.4%

40.1%

8.8%

22.9%

29642
Easley, SC

$52,850

18066

$2.93

0.6%

4.6%

1.4%

0.4%

92.9%

11.2%

7.0%

29910
BLUFFTON, SC

$51,200

13725

$3.73

0.5%

10.6%

4.4%

0.3%

84.2%

16.2%

7.2%

29455
Johns Island, SC

$49,600

10708

$4.63

0.6%

29.6%

4.6%

0.9%

64.3%

15.0%

13.3%

29505
Florence, SC

$49,550

14091

$3.52

1.4%

21.6%

0.7%

0.3%

76.0%

9.5%

9.1%

29212
Columbia, SC

$40,950

20162

$2.03

2.4%

12.9%

1.3%

0.6%

82.7%

20.3%

4.4%

29202
Columbia, SC

$39,600

134

$295.52

0.7%

76.1%

0.0%

0.0%

23.1%

29407
Charleston, SC

$38,695

29306

$1.32

1.8%

27.6%

1.4%

0.5%

68.6%

10.0%

12.5%

29609
Greenville, SC

$35,113

25756

$1.36

2.0%

11.1%

4.1%

0.5%

82.2%

10.6%

13.5%

29803
Aiken, SC

$32,950

22682

$1.45

1.5%

13.9%

1.7%

0.7%

82.3%

17.5%

7.8%

29902
BEAUFORT, SC

$32,750

20806

$1.57

1.7%

20.7%

5.2%

0.8%

71.6%

11.6%

10.4%

29072
Lexington, SC

$32,240

22445

$1.44

1.1%

6.0%

2.3%

0.5%

90.2%

18.1%

5.1%

29585
Pawleys Island, SC

$31,550

8430

$3.74

0.3%

12.5%

0.6%

0.3%

86.3%

17.8%

7.7%

29063
Irmo, SC

$29,350

16177

$1.81

1.4%

20.1%

1.4%

0.4%

76.8%

14.2%

3.9%

29466
Mount Pleasant, SC

$26,990

9142

$2.95

1.4%

18.2%

1.6%

0.3%

78.4%

27.0%

5.2%

29560
Lake City, SC

$26,000

9652

$2.69

0.4%

54.9%

1.4%

0.3%

43.1%

3.2%

28.0%

29412
Charleston, SC

$25,770

25079

$1.03

0.8%

18.2%

1.0%

0.6%

79.4%

11.5%

8.8%

29307
Spartanburg, SC

$24,575

15680

$1.57

1.0%

12.3%

1.5%

0.5%

84.8%

10.6%

11.8%

29577
Myrtle Beach, SC

$24,250

22496

$1.08

2.0%

11.7%

4.6%

1.3%

80.5%

7.4%

11.1%

29572
Myrtle Beach, SC

$23,700

7102

$3.34

1.3%

1.4%

1.4%

0.5%

95.3%

16.5%

6.8%

29482
Sullivans Island, SC

$22,000

1453

$15.14

0.3%

0.8%

0.8%

0.1%

98.0%

32.5%

4.6%

29506
Florence, SC

$21,500

15713

$1.37

0.4%

60.7%

1.2%

0.4%

37.3%

4.3%

23.1%

29150
Sumter, SC

$19,900

28067

$0.71

1.0%

48.1%

1.4%

0.5%

49.1%

7.3%

18.3%

29210
Columbia, SC

$19,075

31559

$0.60

2.4%

41.3%

1.5%

0.6%

54.1%

5.3%

11.0%

29306
Spartanburg, SC

$19,000

11380

$1.67

0.8%

65.4%

1.1%

0.3%

32.4%

4.4%

29.6%

29710
Clover, SC

$17,892

16492

$1.08

0.8%

9.0%

1.1%

0.8%

88.3%

11.0%

10.0%

29229
Columbia, SC

$17,660

12185

$1.45

3.8%

35.4%

3.1%

0.7%

57.0%

19.7%

4.1%

29812
Barnwell, SC

$17,500

8561

$2.04

0.7%

35.1%

2.0%

0.6%

61.5%

6.7%

19.6%

29356
Landrum, SC

$17,200

6228

$2.76

0.3%

5.3%

0.9%

0.4%

93.1%

6.4%

12.6%

29440
GEORGETOWN, SC

$16,860

20784

$0.81

0.3%

46.0%

2.3%

0.3%

51.1%

6.5%

18.4%

29483
Summerville, SC

$16,265

33858

$0.48

1.1%

18.4%

1.8%

1.3%

77.4%

7.1%

11.8%

29617
Greenville, SC

$15,750

17986

$0.88

1.3%

9.6%

9.9%

0.7%

78.5%

4.8%

14.2%

 

Methodology

Campaign finance data

Campaign finance data include all contributions from individuals of more than $200 to federal candidates, political action committees (PACs) and political parties, totaled by the zip code listed by the donor. Percentages to parties are based on individual contributions to candidates and party committees; however, they exclude contributions to Political Action Committees (PACs), which do not have a party affiliation. The data were provided by the Center for Responsive Politics (www.opensecrets.org), a nonpartisan, nonprofit organization dedicated to analyzing campaign finance data from the Federal Election Commission (FEC).

For more detailed information on campaign finance data, please click here.


Race and Ethnicity

U.S. 2000 Census data were provided by the Lewis Mumford Center at the University of Albany (http://mumford1.dyndns.org/cen2000/report.html). The categorization of the population into racial and ethnic categories is rife with complexities. Increasingly Americans identify as more than one race and/or ethnicity. The American Hispanic population is incredibly diverse, representing a wide variety of national backgrounds and cultures.

Click here to learn more about the Lewis Mumford Center’s methodology in analyzing census data by race and ethnicity.

 


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