Unemployment Rates by Race, Gender, Age, and Education
Data characterizes U.S. unemployment rates based on race, gender, age, and education between August 2005 and September 2013. Values attained from the Current Population Survey (CPS). Data compiled by Pat Maher. Software written and designed by Emircan Uysaler.
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This graph shows median personal income levels by age, race, and gender in the United States since 1947. Data taken from the Current Population Survey (CPS). Income values are in terms of 2011 dollars. Zero values indicate no available data for that particular year. Data was downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"4922","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Personal Income by Status of Work, Race, and Gender","height":82,"width":150,"style":"width: 150px; height: 82px; border-width: 1px; border-style: solid; float: left; margin: 20px 10px;","class":"media-element file-media-original"}}]]Personal Income by Status of Work, Race, and Gender
This graph shows median personal income levels by status of work (part-time or full-time), race, and gender in the United States since 1947. Data taken from the Current Population Survey (CPS). Income values are in terms of 2011 dollars. Zero values indicate no available data for that particular year. Data was downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"4924","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Personal Income by Status of Region, Race, and Gender","height":108,"width":150,"style":"width: 150px; height: 108px; border-width: 1px; border-style: solid; margin: 20px 10px; float: left;","class":"media-element file-media-original"}}]]Personal Income by Region, Race, and Gender
This graph shows median personal income levels by region, race, and gender in the United States since 1947. Data taken from the Current Population Survey (CPS). Income values are in terms of 2011 dollars. Zero values indicate no available data for that particular year. Data was downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"5025","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Personal Income by Marital Status, Race, and Gender","height":109,"width":150,"style":"font-size: 12px; width: 150px; height: 109px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Personal Income by Marital Status, Race, and Gender
This graph shows median personal income levels by marital status, race, and gender in the United States since 1947. Data taken from the Current Population Survey (CPS). Income values are in terms of 2011 dollars. Zero values indicate no available data for that particular year. Data was downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"5026","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Personal Income by Occupation (2002-2012)","height":108,"width":150,"style":"font-size: 12px; width: 150px; height: 108px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Personal Income by Occupation (1982-2001)
This graph illustrates U.S. employee wages based on gender, work status, and type of occupation. All data taken from the Current Population Survey (CPS). Data was downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"5029","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Income Levels in the United States (without capital gains)","height":85,"width":150,"style":"width: 150px; height: 85px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Personal Income by Occupation (2002-2012)
This graph illustrates U.S. employee wages based on gender, work status, and type of occupation. All data taken from the Current Population Survey (CPS). Data was downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"5027","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Real Wage Deciles","height":106,"width":150,"style":"font-size: 12px; width: 150px; height: 106px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Real Wage Deciles
The graph shows real wage deciles by gender from 1973 to 2012. Wages are in terms of 2012 dollars. All data taken from The State of Working America which can be found at http://stateofworkingamerica.org/data/. Data downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"5028","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Real Average Annual Wages by Percentile, 1947-2011","height":80,"width":150,"style":"font-size: 12px; width: 150px; height: 80px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Annual Income by Percentiles
This graph shows income levels by various percentiles over 90% in terms of 2010 dollars. All data taken from The State of Working America which can be found at http://stateofworkingamerica.org/data/. Data downloaded and compiled by Pat Maher. Graphing software written and designed by Emircan Uysaler.
[[{"fid":"5030","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Behavioral Risk Factor Chart","height":90,"width":150,"style":"font-size: 12px; width: 150px; height: 90px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Exploring the Relationships between Obesity, Diabetes, Smoking, and other Health Indicators
This motion chart allows for the exploration of data from the Center for Disease Control’s (CDC) Behavioral Risk Factor Surveillance System (BRFSS) from 1995-2010. The BRFSS is the world’s largest telephone survey and asks various questions to assess health-related behaviors in the United States. Respondents are asked for information such as their height and weight in order to obtain BMI information, as well as a myriad of other health-behavior related questions such as whether participants are current smokers, past smokers, or nonsmokers.
This motion chart allows for the exploration of data from the Center for Disease Control’s (CDC) Behavioral Risk Factor Surveillance System (BRFSS) from 1995-2010. The BRFSS is the world’s largest telephone survey and asks various questions to assess health-related behaviors in the United States. Respondents are asked for information such as their height and weight in order to obtain BMI information, as well as a myriad of other health-behavior related questions such as whether participants are current smokers, past smokers, or nonsmokers.
In this visualization, each bubble represents a state, and where the dot lies on the axes represents how respondents from the states answered the CDC’s BRFSS survey questions. The play button allows data to be played over time, and the x and y axes can be changed by clicking on the downward facing triangles and selecting different variables. Changing the x and y variables allows the display of other BRFSS information and can show correlations between various health behaviors, health outcomes, and income levels. It is important to realize that these data are aggregated at the state level, and are not individuals, so some correlations may appear so at the aggregate level but will not be true at the individual level. More information about what the variables on the x and y axes mean can be found at http://www.cdc.gov/BRFSS/.
Visualization by Harry Maher. Hosted by Google Code Playground, information here: https://developers.google.com/chart/interactive/docs/gallery/motionchart?
Data from BRFSS:
Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [1995-2010]
Median per capita income by state by year source: U.S. Dept. of Commerce, Bureau of Economic Analysis. Released March 2013.
Median PCI data organized by: Bureau of Business and Economic Research, University of New Mexico.
Inflation Adjusted PCI calculated with information on inflation rates from: U.S. Department Of Labor Bureau of Labor Statistics. ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.txt
[[{"fid":"5031","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: United States Mortality Data","height":134,"width":150,"style":"font-size: 12px; width: 150px; height: 134px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]United States Mortality Data by Cause of Death, Race, and Sex, 1969-94
Instructions: Compare two series by selecting the appropriate variables in the menu found below the graph. Add additional data series by selecting them on the left side of the graph. All data are taken from the National Vital Statistics System of the National Center for Health Statistics. This data can be found at http://www.nber.org/data/multicause.html. Deaths are proportion of causes for a particular subset divided by the total number of deaths for a year, per 10,000 people. Data downloaded and compiled by Adam Lauretig. Graphing software written and designed by Emircan Uysaler.
The number of deaths from a particular cause is divided by the total deaths in a state, expressed as a percentage. Currently displayed are mortality rates from cancer. All data are taken from the National Vital Statistics System of the National Center for Health Statistics. This data can be found at http://www.nber.org/data/multicause.html. Data downloaded and map created by Adam Lauretig.
[[{"fid":"5032","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Map of successful coups d'etat","height":100,"width":150,"style":"font-size: 12px; width: 150px; height: 100px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Successful World Coups 1946-2012
This map illustrates successful coups d’etat which occurred 1946-2012. The data on coups are from the Polity IV project, produced by the Center for Systemic Peace. The 2013 codebook defines a coup d’etat as “a forceful seizure of executive authority and office by a dissident/opposition faction within the country’s ruling or political elites that results in a substantial change in the executive leadership and the policies of the prior regime,” and in a successful coup “authority must be exercised by new executive for at least one month” (2013, p. 1). On the map, for the year a coup occurred, a country is highlighted. This does not indicate the length of the resulting regime, seeking instead to visualize frequency.
Data compiled by Adam Lauretig.
[[{"fid":"5285","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: World Data Map","height":208,"width":313,"style":"width: 150px; height: 100px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]World Data Map 2010
A map of political, social, and economic indicators for 2010. Created at the Data Analysis and Social Inquiry Lab at Grinnell College by Megan Schlabaugh, April Chen, and Adam Lauretig.
Click on countries for details.
To visualize variables:
1. Click content.
2. Click the dropdown arrow next to World Map 2010 Final - World2010Copy.
3. Click “change symbols.”
4. Set "Use" to “Color.”
5. Set “To show” to the variable you are interested in.
6. Set class & colors to your preference.
Data from Freedom House, the Center for Systemic Peace, and the World Bank.
[[{"fid":"5307","view_mode":"default","type":"media","attributes":{"class":"file media-element file-default"},"link_text":"Terrorism in Russia, 1991-2011
A map of terrorist attacks in Russia, 1991-2011. Size of dots indicates number of people killed. Blue indicates no casualties. Created by Adam Lauretig.
Data Source:
National Consortium for the Study of Terrorism and Responses to Terrorism (START). (2013). Global Terrorism Database [Data file]. Retrieved from http://www.start.umd.edu/gtd
1. Click content.
2. Click the dropdown arrow next to Russian Terrorism.
3. Click “change symbols.”
4. Set "Use" to “Color” or “Size.”
5. Set “To show” to the variable you are interested in.
6. Set class & colors to your preference.
[[{"fid":"5308","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Suicide Bombings Map","height":209,"width":313,"style":"width: 150px; height: 100px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Suicide Bombings: Israel, Lebanon, and Palestinian Territories, 1981-2011
A map of suicide bombings in Israel, Lebanon, and the Palestinian territories, 1981-2011. Size of dots indicates number of people killed. Blue indicates no casualties. Created by Adam Lauretig.
Data Source:
National Consortium for the Study of Terrorism and Responses to Terrorism (START). (2013). Global Terrorism Database [Data file]. Retrieved from http://www.start.umd.edu/gtd
1. Click content.
2. Click the dropdown arrow next to Russian Terrorism.
3. Click “change symbols.”
4. Set "Use" to “Color” or “Size.”
5. Set “To show” to the variable you are interested in.
6. Set class & colors to your preference.
[[{"fid":"5309","view_mode":"media_original","type":"media","link_text":null,"attributes":{"alt":"Thumbnail: Cancer Mortality Per State","height":208,"width":313,"style":"width: 150px; height: 100px; border-width: 1px; border-style: solid; margin: 10px; float: left;","class":"media-element file-media-original"}}]]Cancer Mortality per State, 1969-1994
Rate of deaths from cancer, 1969-1994. Number of cancer deaths divided by total deaths in a state, regularized to deaths per 10,000, expressed as a percentage. All data are taken from the National Vital Statistics System of the National Center for Health Statistics. This data can be found at http://www.nber.org/data/multicause.html. Data downloaded and map created by Adam Lauretig.