SOCR Data US Elections Counties2004

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** ARSENIC_CO:
** ARSENIC_CO:
** POP2000: population according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
** POP2000: population according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
-
** POP00SQMIL: percent in the military
+
** POP00SQMIL: The number of people per square mile in 2000
** MALE2000: total number of males according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
** MALE2000: total number of males according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
** FEMALE2000: total number of females according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
** FEMALE2000: total number of females according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]

Revision as of 01:28, 16 March 2011

Contents

SOCR Data - Multivariate US 2004 Elections and County Dataset

Data Description

Presidential Electoral Vote

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

  • Sources: 2000 US National Census and 2004 US National Elections
  • Variables Description:
    • NAME: US County Name
    • STATE_NAME: US State
    • STATE_FIPS: The 2-digit FIPS code of the State or State equivalent
    • CNTY_FIPS: The 2-digit FIPS code of the County
    • PCountyFIPS: The 5-digit FIPS code identifying the State and county and equivalent entities
    • Bush: Number of votes for Bush
    • Kerry: Number of votes for Kerry
    • Nader: Number of votes for Nader
    • Total: Total number of votes
    • Bush_pct: Percent of votes for Bush
    • Kerry_pct: Percent of votes for Kerry
    • Nader_pct: Percent of votes for Nader
    • 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: percentage below the poverty line
    • pctlt9ed: percent of population with less than 9th grade level of education
    • pcthsed: percent home school educated
    • pctcoled: percentage of adults over 25 with 4+ years of college education
    • unemploy: unemployment rate
    • pctwhtcl: percent of adults employed in white collar jobs
    • homevalu: average home value
    • rent: average rent
    • popdens: population density
    • crowded:
    • ginirev:
    • SmokecurM: proportion of current Male smokers
    • SmokevrM: proportion of Male smokers (ever)
    • SmokecurF: proportion of current Female smokers
    • SmokevrF: proportion of Female smokers (ever)
    • Obese: Proportion of obese individuals
    • 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: population according to the 2000 US Census
    • POP00SQMIL: The number of people per square mile in 2000
    • MALE2000: total number of males according to the 2000 US Census
    • FEMALE2000: total number of females according to the 2000 US Census
    • MAL2FEM: male-to-female percent
    • UNDER18: percent residents under 18 years
    • AIAN: American Indian and Alaska Native
    • ASIA: Asian
    • BLACK: Black
    • NHPI: Native Hawaiian and Other Pacific Islander
    • WHITE: White
    • AIAN_MORE: The percent of people in the county or county equivalent indicating Two or More Races including American Indian and Alaska Native in 2000
    • ASIA_MORE: The percent of people in the county or county equivalent indicating Two or More Races including Asian in 2000
    • BLK_MORE: The percent of people in the county or county equivalent indicating Two or More Races including Balck in 2000
    • NHPI_MORE:
    • WHT_MORE:
    • HISP_LAT: The percent of people in the county or county equivalent indicating Hispanic or Latino Origin, All Races in 2000
    • CH19902000: The population change between 1990 and 2000, as a percentage of the 1990 population
    • MEDAGE2000: Median age of the population in 2000
    • PEROVER65: The percent of people in the county or county equivalent, over the age of 65 in 2000.

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
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...

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.

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Retrieved from "http://wiki.stat.ucla.edu/socr/index.php/SOCR_Data_US_Elections_Counties2004"
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