Poverty Map- US Census Bureau

Here is another interesting map that we created using Mappler which displays the percentage of the population in 2010 that was considered below the poverty line. This information was gather from the U.S. Census Bureau. Red indicates areas where 30 to about 50 percent are considered living in poverty and blue shows areas where 0 to 10 percent are considered below the poverty line.

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CDC Map

Data Layering

On m3.mappler.net/cdcmap/ you will find information from the CDC showing a layered map of six featured categories; Demographic and Socio-Economic based on census, Demographic and Socio-Economic based on county, Mortality Rates per 100,000 people, Disease Prevalence Rates, Environmental Data, and Borders.

– Demographic and Socio-Economic (data from the census) including:
  • proportion of mobile housing
  • proportion of institutionalized population
  • per capita income
  • proportion of single parent housholds
  • proportion of housing structures with 10 or more units
  • proportion of housing with no vehicle available
  • proportion of population that is umemployes
  • proportion of population under 18
  • proportion of population that speaks English poorly
  • proportion of housing with more people than rooms
  • proportion of population in poverty
  • proportion of population over 65
  • proportions of non-white population

* US counties also have the same subcategories.

This map shows the layering of the proportion of people that are unemployed and the proportion of the population that speaks English poorly
This map shows the layering of the proportion of people that are unemployed and the proportion of the population that speaks English poorly
– Mortality Rates per 100,000 people
  • liver disease mortality rates
  • colon cancer mortality rates
  • transportation accident mortality rates
  • diabetes mellitus mortality rates
  • ischaemic heart disease mortality rates
  • stroke mortality rates
  • lung cancer mortality rates
  • alzheimers  disease mortality rates
  • cerebrovascular disease mortality rates
  • hypertension mortality rates
  • heart disease mortality rates
  • pancreatic cancer mortality rates
  • breast cancer mortality rates
  • self harm mortality rates
  • flu and pneumonia mortality rates
This map shows the layering of Colon Cancer mortality rates, Breast Cancer mortality rates, and Pancreatic Cancer mortality rates
This map shows the layering of Colon Cancer mortality rates, Breast Cancer mortality rates, and Pancreatic Cancer mortality rates

For further information, more layering, and to see the maps on Disease Prevalence Rates, Environmental Data, and Borders, visit the site !

Posted by Eva Gerrits, Intern. Click here to see the site. Contact at gis@vertices.com

Visualising and tracking homicide cases in New York City

Reports filed at the New York Police Department and in the courts can be now be visualized in an interactive map that has been released by the new york times. The map outlines the frequencies and more vital information on the crime report.

Read the full story from NY Times here

Source: NY Times NY REGION

http://projects.nytimes.com/crime/homicides/map

Renice Obure, Research Intern, Vertices, gis@vertices.org

Food Crisis: Who gets affected

MAP OF FOOD SPIKES EFFECTS AROUND THE WORLD
So there is a looming food health crisis? Who will get affected. Food crisis around the world have been known to cause political uncertainty, instability, inflation and civil unrest

Oxfam has made an interactive map showing the food spikes volatility points around the world which get the worst out of any food crisis

Check out the the food volatility points and  what else you can do to help the situation at Oxfam
Source: Oxfam America

http://www.oxfamamerica.org/press/articles/food-price-spikes

Renice Obure, Research Intern, Vertices, gis@vertices.org

Mapping Toilets in Mumbai Slums Yields Unexpected Results

In the Mumbai slum known as Cheeta Camp, lavatory facilities are dismal, and this issue is quite alarming from an urban public health perspective, as it deals with sanitation.

James Potter and several students from the Harvard School of Public Health who traveled to Mumbai to research the city’s slums decided to create a map of Cheeta Camp’s toilets. Variables were investigated like where they were located, who had put them up, how they functioned, and if they were even operational. You can explore the map here.

As stated in the article, “the act of naming streets, counting citizens and mapping facilities turns information into an advocacy tool.” Certainly, gaining a better understanding of the location of toilets, availability, and ratio of toilets to people is an extremely valuable partition of information necessary in understanding urban public health in an environment of this nature.

The students have given the map to local NGO’s and the medical director of Cheeta Camp’s health center, who believe that this information will be helpful. Upon finalization of the map, the students from Harvard will present it to the Municipal Corporation of Greater Mumbai, the city’s governing body.

Read the full article here.

Lisa MacCarrigan, Research Assistant, Vertices, gis@vertices.com

Striking Differences in Life Expectancies in Baltimore Neighborhoods

City health data from Baltimore, Maryland illustrates a startling difference between the life expectancy of those in rich and poor neighborhoods. Life expectancy for those living the the richest neighborhoods is 20 years longer than for those in the poorest.

The Baltimore Sun used city data to develop an interactive map that illustrates these striking differences. The city of Baltimore has created Healthy Baltimore 2015, which is a plan to target the top 10 health-related ailments that are impacting people there. For the first time, the city is utilizing mapping in such a way that illustrates these specific and comprehensive goals, which include smoking cessation and obesity reduction.

Read the full article, and check out the interactive map.

Lisa MacCarrigan, Research Assistant, Vertices, gis@vertices.com

Mapping Type 2 Diabetes Hotspots in London

Researchers from Queen Mary, University of London used Geographic Information System (GIS) technology to create detailed maps with type 2 diabetes data.

The resulting maps highlighted geographical hotspots for type 2 diabetes, and these hotspots revealed fantastic similarities to poverty maps created during the late 19th Century by Charles Booth.

The utilization of GIS helps local authorities and those in the field of healthcare and medicine to properly assess and tackle many health-related hardships that communities face. GIS has provided an invaluable tool for understanding, assessing, and addressing the many pressing health issues that populations encounter daily.

To learn more about the type 2 diabetes mapping project in London, please explore the article and additional information published by Queen Mary, University of London.

Lisa MacCarrigan, Research Assistant, Vertices, gis@vertices.com