SOCR Data US Elections Counties2004
Contents
SOCR Data - Multivariate US 2004 Elections and County Dataset
Data Description
These data represent the margin of victory in the popular vote in percentage points (e.g., explanatory variable) vs the margin of victory in the Electoral College in percentage points (e.g., response variable) for the winner in all Presidential Elections since 1828.
Meta-data
- Source []
- Variables Description:
- NAME: US County Name
- STATE_NAME: US State
- STATE_FIPS:
- CNTY_FIPS:
- PCountyFIPS:
- Bush:
- Kerry:
- Nader:
- Total:
- Bush_pct:
- Kerry_pct:
- Nader_pct:
- MDratio: physicians per 1,000 population (MDRATIO)
- hosp: hospitals per 1,000 population
- pcthisp: percentage of Hispanic origin
- pcturban: percentage of urban population
- urbrural: USDA urban/rural code (0=most urban, 9=most rural)
- pctfemhh: percentage of households headed by female
- pcincome: per capita income
- pctpoor:
- pctlt9ed:
- pcthsed:
- pctcoled: percentage of adults over 25 with 4+ years of college education
- unemploy: unemployment rate
- pctwhtcl:
- homevalu:
- rent:
- popdens:
- crowded:
- ginirev:
- SmokecurM:
- SmokevrM:
- SmokecurF:
- SmokevrF:
- Obese:
- Noins: percentage of persons ages 18+ who do not have a health plan or health insurance
- XYLENES__M:
- TOLUENE:
- TETRACHLOR:
- STYRENE:
- NICKEL_COM:
- METHYLENE:
- MERCURY_CO:
- LEAD_COMPO:
- BENZENE__I:
- ARSENIC_CO:
- POP2000:
- POP00SQMIL:
- MALE2000:
- FEMALE2000:
- MAL2FEM:
- UNDER18:
- AIAN:
- ASIA:
- BLACK:
- NHPI:
- WHITE:
- AIAN_MORE:
- ASIA_MORE:
- BLK_MORE:
- NHPI_MORE:
- WHT_MORE:
- HISP_LAT:
- CH19902000:
- MEDAGE2000:
- PEROVER65:
Data Table
The complete data file is available here (1.2MB text CSV file). The table below shows a fragment of this complex multivariate dataset.
NAME | STATE_NAME | STATE_FIPS | CNTY_FIPS | PCountyFIPS | Bush | Kerry | Nader | Total | Bush_pct | Kerry_pct | Nader_pct | MDratio | hosp | pcthisp | pcturban | urbrural | pctfemhh | pcincome | pctpoor | pctlt9ed | pcthsed | pctcoled | unemploy | pctwhtcl | homevalu | rent | popdens | crowded | ginirev | SmokecurM | SmokevrM | SmokecurF | SmokevrF | Obese | Noins | XYLENES__M | TOLUENE | TETRACHLOR | STYRENE | NICKEL_COM | METHYLENE | MERCURY_CO | LEAD_COMPO | BENZENE__I | ARSENIC_CO | POP2000 | POP00SQMIL | MALE2000 | FEMALE2000 | MAL2FEM | UNDER18 | AIAN | ASIA | BLACK | NHPI | WHITE | AIAN_MORE | ASIA_MORE | BLK_MORE | NHPI_MORE | WHT_MORE | HISP_LAT | CH19902000 | MEDAGE2000 | PEROVER65 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lake_of_the_Woods | Minnesota | 27 | 77 | 27077 | 1428 | 921 | 27 | 2376 | 60.1010101 | 38.76262626 | 1.136363636 | 66.8 | 22.27 | 6 | 0 | 9 | 8 | 17856 | 10.6 | 14 | 75.2 | 11 | 4.1 | 44.4 | 40100 | 244 | 3.4 | 2.7 | 0.37 | 0.2 | 0.46 | 0.19 | 0.41 | 0.32 | 0.08 | 1158.19 | 1093.06 | 0.06 | 13.98 | 0.00645 | 85.51 | 0.00063 | 0.00181 | 331.37 | 0.000137 | 4522 | 3.5 | 2272 | 2250 | 101 | 24.7 | 1.1 | 0.2 | 0.3 | 0 | 97.2 | 1.9 | 0.4 | 0.6 | 0 | 98.2 | 0.6 | 10.9 | 41.6 | 17.2 |
Ferry | Washington | 53 | 19 | 53019 | 1969 | 1156 | 57 | 3182 | 61.87932118 | 36.32935261 | 1.79132621 | 56.02 | 14.01 | 14 | 0 | 9 | 12.5 | 14340 | 23.7 | 8.8 | 72.6 | 12 | 13.3 | 41.2 | 47800 | 257 | 3.2 | 6 | 0.38 | 0.24 | 0.5 | 0.21 | 0.42 | 0.38 | 0.12 | 42.19 | 68.14 | 0.15 | 0.7 | 0.00308 | 0.94 | 0.000407 | 0.01 | 70.41 | 0.0067 | 7260 | 3.3 | 3764 | 3496 | 108 | 26.9 | 18.3 | 0.3 | 0.2 | 0.1 | 75.5 | 20.9 | 0.6 | 0.4 | 0.2 | 78.7 | 2.8 | 15.3 | 40 | 12.6 |
Stevens | Washington | 53 | 65 | 53065 | 10789 | 5763 | 175 | 16727 | 64.50050816 | 34.45327913 | 1.04621271 | 87.75 | 5.32 | 16 | 14.1 | 6 | 10.6 | 15201 | 17.2 | 7.1 | 80.9 | 12.1 | 9.4 | 46.3 | 56800 | 306 | 14.7 | 4.3 | 0.41 | 0.22 | 0.43 | 0.23 | 0.39 | 0.23 | 0.12 | 95.46 | 166.35 | 5.35 | 2.51 | 0.01 | 5.35 | 0.00482 | 0.05 | 114.79 | 0.00767 | 40066 | 16.2 | 19940 | 20126 | 99 | 28.7 | 5.7 | 0.5 | 0.3 | 0.2 | 90 | 7.4 | 1 | 0.5 | 0.3 | 92.6 | 1.8 | 29.5 | 39.2 | 12.9 |
Okanogan | Washington | 53 | 47 | 53047 | 8336 | 5511 | 134 | 13981 | 59.62377512 | 39.41778127 | 0.958443602 | 111.94 | 8.19 | 83 | 12.3 | 7 | 12.9 | 18253 | 21.5 | 12.3 | 71.3 | 12 | 10.5 | 41.9 | 50600 | 277 | 6.8 | 6.2 | 0.45 | 0.27 | 0.56 | 0.3 | 0.53 | 0.3 | 0.21 | 122.72 | 200.01 | 3.09 | 2.84 | 0.01 | 5.53 | 0.00322 | 0.03 | 168.55 | 0.0057 | 39564 | 7.5 | 19706 | 19858 | 99 | 27.7 | 11.5 | 0.4 | 0.3 | 0.1 | 75.3 | 13.2 | 0.8 | 0.5 | 0.2 | 77.9 | 14.4 | 18.6 | 38.2 | 14 |
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The complete data file is available here (1.2MB text CSV file).
Example: Bubble Chart
You can paste these data in any of the SOCR Analyses or Charts to obtain quantitative results of explore the data graphically. For instance, you can paste these data in the SOCR Bubble Chart, map the variables (Year --> X, ElectoralVote --> Y, Diff(Popular-Electoral)Vote --> Z) and click UPDATE Graph to obtain the image below. Notice how the close elections are represented by smaller bubbles near the 50% of the electoral vote line, as the difference between the popular and the electoral votes for tight elections are small.
- SOCR Home page: http://www.socr.ucla.edu
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