Difference between revisions of "SOCR Data US Elections Counties2004"

From SOCR
Jump to: navigation, search
(→‎Meta-data)
(→‎Data Description)
 
(11 intermediate revisions by the same user not shown)
Line 2: Line 2:
  
 
===Data Description===
 
===Data Description===
−
[[Image:SOCR_Data_Dinov_PresidentialElections.png|150px|thumbnail|right| [http://www.electoral-vote.com/ Presidential Electoral Vote] ]]
+
[[Image:SOCR_Data_US_Elections_Counties2004_Fig1.png|150px|thumbnail|right| [http://www.nationalatlas.gov/mld/ce2000t.html 2000 US Census] ]]
  
−
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.
+
These data represent a combined collective of multivariate data about the US population for 2000-2004. The dataset includes 2000 US census data and elections data from the 2004 general election in the US.
  
 
=== '''Meta-data'''===
 
=== '''Meta-data'''===
Line 11: Line 11:
 
** NAME: US County Name
 
** NAME: US County Name
 
** STATE_NAME: US State
 
** STATE_NAME: US State
−
** STATE_FIPS:
+
** STATE_FIPS: The 2-digit FIPS code of the State or State equivalent
−
** CNTY_FIPS:
+
** CNTY_FIPS: The 2-digit FIPS code of the County
−
** PCountyFIPS:
+
** PCountyFIPS: The 5-digit FIPS code identifying the State and county and equivalent entities
−
** Bush:
+
** Long_Mean: Mean [http://www.worldatlas.com/aatlas/imageg.htm Longitude] of county
−
** Kerry:
+
** Lat_Mean: Mean [http://www.worldatlas.com/aatlas/imageg.htm Latitude] of county
−
** Nader:
+
** Bush: Number of votes for Bush
−
** Total:
+
** Kerry: Number of votes for Kerry
−
** Bush_pct:
+
** Nader: Number of votes for Nader
−
** Kerry_pct:
+
** Total: Total number of votes
−
** Nader_pct:
+
** 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)
 
** MDratio: physicians per 1,000 population (MDRATIO)
 
** hosp: hospitals per 1,000 population
 
** hosp: hospitals per 1,000 population
Line 28: Line 30:
 
** pctfemhh: percentage of households headed by female  
 
** pctfemhh: percentage of households headed by female  
 
** pcincome: per capita income
 
** pcincome: per capita income
−
** pctpoor:
+
** pctpoor: percentage below the poverty line
−
** pctlt9ed:
+
** pctlt9ed: percent of population with less than 9th grade level of education
−
** pcthsed:
+
** pcthsed: percent home school educated
 
** pctcoled: percentage of adults over 25 with 4+ years of college education  
 
** pctcoled: percentage of adults over 25 with 4+ years of college education  
 
** unemploy: unemployment rate
 
** unemploy: unemployment rate
−
** pctwhtcl:
+
** pctwhtcl: percent of adults employed in white collar jobs
−
** homevalu:
+
** homevalu: average home value
−
** rent:
+
** rent: average rent
−
** popdens:
+
** popdens: population density
 
** crowded:
 
** crowded:
 
** ginirev:
 
** ginirev:
−
** SmokecurM:
+
** SmokecurM: proportion of current Male smokers
−
** SmokevrM:
+
** SmokevrM: proportion of Male smokers (ever)
−
** SmokecurF:
+
** SmokecurF: proportion of current Female smokers
−
** SmokevrF:
+
** SmokevrF: proportion of Female smokers (ever)
−
** Obese:
+
** Obese: Proportion of obese individuals
 
** Noins: percentage of persons ages 18+ who do not have a health plan or health insurance
 
** Noins: percentage of persons ages 18+ who do not have a health plan or health insurance
 
** XYLENES__M:
 
** XYLENES__M:
Line 55: Line 57:
 
** BENZENE__I:
 
** BENZENE__I:
 
** ARSENIC_CO:
 
** ARSENIC_CO:
−
** POP2000:
+
** POP2000: population according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
−
** POP00SQMIL:
+
** POP00SQMIL: The number of people per square mile in 2000
−
** MALE2000:
+
** MALE2000: total number of males according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
−
** FEMALE2000:
+
** FEMALE2000: total number of females according to the [http://nationalatlas.gov/metadata/ce2000t.faq.html 2000 US Census]
−
** MAL2FEM:
+
** MAL2FEM: male-to-female percent
−
** UNDER18:
+
** UNDER18: percent residents under 18 years
−
** AIAN:
+
** AIAN: American Indian and Alaska Native
−
** ASIA:
+
** ASIA: Asian
−
** BLACK:
+
** BLACK: Black
−
** NHPI:
+
** NHPI: Native Hawaiian and Other Pacific Islander
−
** WHITE:
+
** WHITE: White
−
** AIAN_MORE:
+
** 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:
+
** ASIA_MORE: The percent of people in the county or county equivalent indicating Two or More Races including Asian in 2000
−
** BLK_MORE:
+
** BLK_MORE: The percent of people in the county or county equivalent indicating Two or More Races including Balck in 2000
−
** NHPI_MORE:
+
** NHPI_MORE:  
 
** WHT_MORE:
 
** WHT_MORE:
−
** HISP_LAT:
+
** HISP_LAT: The percent of people in the county or county equivalent indicating Hispanic or Latino Origin, All Races in 2000
−
** CH19902000:
+
** [http://nationalatlas.gov/metadata/ce2000t.faq.html CH19902000]: The population change between 1990 and 2000, as a percentage of the 1990 population
−
** MEDAGE2000:
+
** MEDAGE2000: Median age of the population in 2000
−
** PEROVER65:
+
** PEROVER65: The percent of people in the county or county equivalent, over the age of 65 in 2000.
  
 
===Data Table===
 
===Data Table===
−
The [http://wiki.stat.ucla.edu/socr/uploads/2/2b/SOCR_Data_US_Elections_Counties2004.csv.doc complete data file is available here (1.2MB text CSV file)]. The table below shows a fragment of this complex multivariate dataset.
+
The [http://wiki.stat.ucla.edu/socr/uploads/5/5f/SOCR_Data_US_Elections_Counties2004_v1.csv.doc complete data file is available here (1.2MB text CSV file)]. The table below shows a fragment of this complex multivariate dataset.
 
<center>
 
<center>
 
{| class="wikitable" style="text-align:center; width:75%" border="1"
 
{| class="wikitable" style="text-align:center; width:75%" border="1"
 
|-  
 
|-  
−
! 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
+
! NAME || STATE_NAME || STATE_FIPS || CNTY_FIPS || PCountyFIPS || Long_Mean || Lat_Mean ||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
+
| Autauga || Alabama || 1 || 1 || 1001 || 1150710.961 || -342104.4706 || 15212 || 4774 || 74 || 20060 || 75.83250249 || 23.79860419 || 0.36889332 || 33.01 || 2.54 || 7 || 58 || 2 || 15.1 || 17690 || 15.7 || 11.7 || 70 || 14.5 || 6.1 || 54.2 || 58600 || 372 || 64.3 || 3.9 || 0.4 || 0.23 || 0.48 || 0.2 || 0.38 || 0.36 || 0.14 || 110.18 || 148.11 || 3.03 || 3.25 || 0.12 || 5.59 || 0.02 || 1.02 || 64.6 || 0.14 || 43671 || 73.3 || 21221 || 22450 || 95 || 28.6 || 0.4 || 0.5 || 17.1 || 0 || 80.7 || 0.9 || 0.7 || 17.3 || 0.1 || 81.5 || 1.4 || 27.6 || 35.1 || 10.2
 
|-
 
|-
−
| 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
+
| Baldwin || Alabama || 1 || 3 || 1003 || -914134.3333 || 833264.9048 || 52910 || 15579 || 371 || 68860 || 76.8370607 || 22.62416497 || 0.538774325 || 128.95 || 3.33 || 10 || 39.4 || 2 || 13.2 || 20151 || 14.3 || 9.9 || 73.2 || 16.8 || 5.2 || 52.2 || 64300 || 357 || 72.4 || 3.8 || 0.42 || 0.25 || 0.55 || 0.23 || 0.42 || 0.4 || 0.15 || 425.21 || 560.64 || 11.07 || 9.04 || 0.04 || 19.31 || 0.01 || 0.16 || 218.96 || 0.00611 || 140415 || 88 || 68848 || 71567 || 96 || 24.4 || 0.6 || 0.4 || 10.3 || 0 || 87.1 || 1.1 || 0.5 || 10.5 || 0.1 || 88.1 || 1.8 || 42.9 || 39 || 15.5
 
|-
 
|-
−
| 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
+
| Barbour || Alabama || 1 || 5 || 1005 || -324188.6 || -31085.4 || 5893 || 4826 || 26 || 10745 || 54.84411354 || 44.91391345 || 0.241973011 || 64.23 || 3.78 || 5 || 48.7 || 6 || 22.7 || 16666 || 25.2 || 21.7 || 55.6 || 11.8 || 8.7 || 41.4 || 40200 || 227 || 28.9 || 6.3 || 0.48 || 0.23 || 0.48 || 0.16 || 0.34 || 0.36 || 0.12 || 61.88 || 99.75 || 4.47 || 1.61 || 0.02 || 3.75 || 0.00472 || 0.09 || 43.85 || 0.02 || 29038 || 32.8 || 14970 || 14068 || 106 || 25.4 || 0.5 || 0.3 || 46.3 || 0 || 51.3 || 0.8 || 0.5 || 46.7 || 0.1 || 51.7 || 1.6 || 14.2 || 35.8 || 13.3
 
|-
 
|-
−
| 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
+
| ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ...
−
|-
 
−
| ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ... || ...
 
 
|}
 
|}
 
</center>
 
</center>
  
−
The [http://wiki.stat.ucla.edu/socr/uploads/2/2b/SOCR_Data_US_Elections_Counties2004.csv.doc complete data file is available here (1.2MB text CSV file)].
+
The [http://wiki.stat.ucla.edu/socr/uploads/5/5f/SOCR_Data_US_Elections_Counties2004_v1.csv.doc complete data file is available here (1.2MB text CSV file)].
  
 
===Example: [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart]]===
 
===Example: [[SOCR_EduMaterials_Activities_BubbleChart | Bubble Chart]]===
−
You can paste these data in any of the SOCR [http://socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://socr.ucla.edu/htmls/SOCR_Charts.html Charts] to obtain quantitative results of explore the data graphically. For instance, you can paste these data in the [[SOCR_EduMaterials_Activities_BubbleChart | 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.
+
You can paste these data in any of the SOCR [http://socr.ucla.edu/htmls/SOCR_Analyses.html Analyses] or [http://socr.ucla.edu/htmls/SOCR_Charts.html Charts] to obtain quantitative results of explore the data graphically. For instance, you can paste these data in the [[SOCR_EduMaterials_Activities_BubbleChart | SOCR Bubble Chart]], map the variables (''unemploy'' --> '''X''', ''pctpoor'' --> '''Y''', ''obese'' --> '''Z''') and click UPDATE Graph to obtain the image below. Notice the positive linear association between percentage below the poverty line (pctpoor) and unemployment (unemploy) and the relation of obesity (obese, size of blobs) to the other variables.
−
<center>[[Image:SOCR_Data_Dinov_PresidentialElectionsBubbleChart.jpg|500px]]
+
<center>[[Image:SOCR_Data_US_Elections_Counties2004_Fig2.png|500px]]
 
</center>
 
</center>
  

Latest revision as of 21:42, 16 March 2011

SOCR Data - Multivariate US 2004 Elections and County Dataset

Data Description

2000 US Census

These data represent a combined collective of multivariate data about the US population for 2000-2004. The dataset includes 2000 US census data and elections data from the 2004 general election in the US.

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
    • Long_Mean: Mean Longitude of county
    • Lat_Mean: Mean Latitude of county
    • 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 Long_Mean Lat_Mean 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
Autauga Alabama 1 1 1001 1150710.961 -342104.4706 15212 4774 74 20060 75.83250249 23.79860419 0.36889332 33.01 2.54 7 58 2 15.1 17690 15.7 11.7 70 14.5 6.1 54.2 58600 372 64.3 3.9 0.4 0.23 0.48 0.2 0.38 0.36 0.14 110.18 148.11 3.03 3.25 0.12 5.59 0.02 1.02 64.6 0.14 43671 73.3 21221 22450 95 28.6 0.4 0.5 17.1 0 80.7 0.9 0.7 17.3 0.1 81.5 1.4 27.6 35.1 10.2
Baldwin Alabama 1 3 1003 -914134.3333 833264.9048 52910 15579 371 68860 76.8370607 22.62416497 0.538774325 128.95 3.33 10 39.4 2 13.2 20151 14.3 9.9 73.2 16.8 5.2 52.2 64300 357 72.4 3.8 0.42 0.25 0.55 0.23 0.42 0.4 0.15 425.21 560.64 11.07 9.04 0.04 19.31 0.01 0.16 218.96 0.00611 140415 88 68848 71567 96 24.4 0.6 0.4 10.3 0 87.1 1.1 0.5 10.5 0.1 88.1 1.8 42.9 39 15.5
Barbour Alabama 1 5 1005 -324188.6 -31085.4 5893 4826 26 10745 54.84411354 44.91391345 0.241973011 64.23 3.78 5 48.7 6 22.7 16666 25.2 21.7 55.6 11.8 8.7 41.4 40200 227 28.9 6.3 0.48 0.23 0.48 0.16 0.34 0.36 0.12 61.88 99.75 4.47 1.61 0.02 3.75 0.00472 0.09 43.85 0.02 29038 32.8 14970 14068 106 25.4 0.5 0.3 46.3 0 51.3 0.8 0.5 46.7 0.1 51.7 1.6 14.2 35.8 13.3
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...

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 (unemploy --> X, pctpoor --> Y, obese --> Z) and click UPDATE Graph to obtain the image below. Notice the positive linear association between percentage below the poverty line (pctpoor) and unemployment (unemploy) and the relation of obesity (obese, size of blobs) to the other variables.

SOCR Data US Elections Counties2004 Fig2.png

Translate this page:

(default)
Uk flag.gif

Deutsch
De flag.gif

Español
Es flag.gif

Français
Fr flag.gif

Italiano
It flag.gif

Português
Pt flag.gif

日本語
Jp flag.gif

България
Bg flag.gif

الامارات العربية المتحدة
Ae flag.gif

Suomi
Fi flag.gif

इस भाषा में
In flag.gif

Norge
No flag.png

한국어
Kr flag.gif

中文
Cn flag.gif

繁体中文
Cn flag.gif

Русский
Ru flag.gif

Nederlands
Nl flag.gif

Ελληνικά
Gr flag.gif

Hrvatska
Hr flag.gif

Česká republika
Cz flag.gif

Danmark
Dk flag.gif

Polska
Pl flag.png

România
Ro flag.png

Sverige
Se flag.gif

Retrieved from "https://wiki.socr.umich.edu/index.php?title=SOCR_Data_US_Elections_Counties2004&oldid=10870"