Today’s map shows the rate of self reported pesticide related illness by state for the year of 2014 per 100,000 person. From the map we can see some states had rates ranging as low as 0.00 to 0.27 indicated by the yellow shading. In contrast some states, such as Alaska, Florida, Alabama, Mississippi, Arkansas, New York, Kansas and Virginia had rates as high as 0.87 to 2.56 indicated by the dark blue shading. However, its important to note that because these are self-reported rates the date is subjected to under-reporting. In addition, because these exposures are self-reported both the type of pesticide and the degree of illness associated with the exposure may be mis-classified since the designation by the poison control center for both is based on the description provided by the caller.
According to the CDC farmworkers are among those when are subjected to pesticide exposure. For more information on migrant workers click here.
By Julia Watson
Particulate Matter (PM) are small particles that contain microscopic solids and liquid droplets that are suspended in the air which can be inhaled and cause health effects. PM range in size, but particles less than 10 mm present the greatest threat. Some particles are emitted directly from a source such as, smokestacks, fires, construction sites, etc. and others are a result of complex atmospheric reactions .
Check out this map that shows the average daily PM 2.5 by county in 2011. From the graph we see a three distinct darkly shaded clusters indicating a high amount of daily exposure. The first cluster includes counties in Nevada and Utah. The second cluster includes counties within Colorado, Wyoming, Kansas and Nebraska. The third and most prominent includes counties within various southern states such as, Mississippi, Alabama, Georgia, Tennessee, Kentucky, Indiana, Illinois, Ohio, Pennsylvania, Virginia, West Virginia and North and South Carolina. In contrast, we can see states such as Oregon, Texas, California and Arizona are shaded yellow indicating a lower daily average.
By Julia Watson
Take a look at this interesting map we made on Mappler in collaboration with Planning Communities! The map is full of GIS layers that you can toggle to show various information such as crime, food, recreation, transit, and URISA health data in DC. The picture below shows URISA data marking sidewalks, intersections, homeless locations, and garbage. Visit the map to view all the data ! nj.mapplerx.com/map/urisahealth
This map on michiganradio.org from February 1st, depicts the results of home lead tests in Flint. The test information, gathered by the State, was then grouped into the following categories to make this map:
- 0 ppb – no lead detected in the drinking water
- 1-4 ppb – the EPA deems this range as acceptable
- 5-14 ppb – exposure is a concern, but still below an EPA “federal action level”
- 15-49 ppb – a range above the federal action level for lead, but can be treated by filters
- 50-149 ppb – reaching dangerous levels, but can be treated by filters
- 150 and above – a range at which the federal government says water filters might not work
Looking at this map, trying to determine the source is difficult because no real pattern can be determined. Makes you think about what other areas in the US have horrible water that either hasn’t been discovered yet, or just taken seriously.
Thanks Michigan Radio for the map! All information from michiganradio.org
PM, or particulate matter, are tiny solid or liquid particles found in the atmosphere. Particulate matter is considered the most dangerous form of air pollution as the tiny particles can easily be absorbed by the lungs into the blood stream causing many health issues. The International Agency for Research on Cancer and the World Health Organization both consider particulates to be a Group 1 Carcinogen. PM 2.5 are particulates with a diameter of 2.5 micrometers. PM 2.5 particulates are especially dangerous as their small size allows them to penetrate the lungs more easily. We have taken data from the EPA and created a map that shows the mean PM 2.5 levels across the United States. Check out how clean the air is in your city or state below, and keep checking our site for more maps and data on air and water pollution!
It seems logical that the more money you have, the longer you would be expected to live. This would be because you can afford better healthcare, maintain a healthier lifestyle, have access to better nutrition, and probably have less stress when it comes to day-to-day life because you are financially stable. The New York Times recently released an article that affirmed this thought, but also gave an eye-opening spin on the life expectancy of the poor based on where they live, showing that cities like LA and New York the life expectancy of those under the poverty line is higher then other cities in the US.
Health plays a significant role in the life span of a human, which seems obvious but when you look at the numbers, it can be shocking. The Journal of the American Medical Association states that the richest men live 15 years longer then the poorest 1 percent. So why do the poor living in cities like Las Vegas, Indianapolis, Dayton, and Tulsa to name a few, have lower life expectancies? David M. Cutler who is a economist at Harvard explains that a lot of cities with the lowest life expectancy for the poor fall into the “drug overdose belt”. Other explanations are just the availability to clinics and health education. Increasing health resources would slowly help to increase life expectancy in cities with the lowest life spans.
Take a look at the map from the NYT and see where your area compares. Looking at where you live, do you think your area provides enough health resources for those who can’t afford it?
All information for this post is from an article by The New York Times.
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.
This really interesting map on International Institute for Environment and Development’s website, iied.org, shows populations of cities with more then 500,000 people from 1800 to the predicted 2030. The visual that this map gives shows how big our world really is. With a little more than 7 billion people right now, by 2030 that amount will surely grow. Makes you think about what the health, environment, food and water situation will look like when the predicted population for 2030 will be more then 8 billion. I think that if we can increase education efforts on population rise and conservation efforts, we can help to lessen that number or at least be more prepared.
Below is a screenshot from iied.org of cities in 1800 that had more than 500,000 people. London and Beijing had more than a million and Guangzhou and Paris are between 500,000 and a million people.
Looking at 2015, you can see that 1,029 cities had populations larger than 500,000. Take a look at their site and see what the projection is for the year 2030! Thanks IIED for the cool map!
all information for this post from iied.org. contact email@example.com. click here for the site.
This map put out by the CDC, shows the most distinctive causes of death in the United States. This map is colored coded to be easier to read and as you can see the key below the map shows what the cause of death is. There are interesting limitations to keep in mind while looking at the map. On the CDC site they explain “A limitation of this map is that it depicts only 1 distinctive cause of death for each state. All of these were significantly higher than the national rate, but there were many others also significantly higher than the national rate that were not mapped. The map is also predisposed to showing rare causes of death — for 22 of the states, the total number of deaths mapped was under 100. Using broader cause-of-death categories or requiring a higher threshold for the number of deaths would result in a different map. These limitations are characteristic of maps generally and are why these maps are best regarded as snapshots and not comprehensive statistical summaries” (cdc.gov). To take a closer look at the map and read the background of the project go to cdc.gov.
all information from cdc.gov. click here to see the site. contact firstname.lastname@example.org.
Weather.com has some pretty interesting maps related to air quality. If you are curious about the amount of tree, weed, or grass pollen, mold, and breathing index within the United States, take a look at their site! Below is a screenshot of one of their maps for mold spore counts, green indicates low counts and red shows areas of high counts. Go to weather.com to see all of the maps! What does your area look like?
This post is from weather.com. Contact us at email@example.com