Connect with us

Technology

How Much Radiation is Emitted by Popular Smartphones?

Published

on

Infographic showing the Radiation emissions of popular smartphones

Can I share this graphic?
Yes. Visualizations are free to share and post in their original form across the web—even for publishers. Please link back to this page and attribute Visual Capitalist.
When do I need a license?
Licenses are required for some commercial uses, translations, or layout modifications. You can even whitelabel our visualizations. Explore your options.
Interested in this piece?
Click here to license this visualization.

Radiation Emissions of Popular Smartphones

Smartphones have become an integral part of our everyday lives. From work and school to daily tasks, these handheld devices have brought everything into the palm of our hands.

Most people spend 5-6 hours on their phones each day. And, given that our phones emit a tiny amount of radiation, we’re exposing ourselves to radiation for hours each day.

But different phones emit different amounts of radiation.

With the help of data collected by the German Federal Office of Radiation Protection, we visualize the radiation emissions of some popular smartphones in the market today.

Radiation and SAR Values of Smartphones

Smartphones and other mobile devices emit tiny amounts of radiofrequency (RF) radiation. Humans can absorb this radiation when the smartphone is being used or is lying dormant anywhere near their bodies.

The parameter used to measure phone radiation emissions is the Specific Absorption Rate (SAR). It is the unit of measurement that represents the quantity of electromagnetic energy absorbed by the body when using a mobile device.

The Council of the European Union has set radiation standards for cell phones at 2 watts per kilogram, measured over the 10 grams of tissue that is absorbing the most signal.

SAR values are calculated at the ear (speaking on the phone) and at the body (kept in your pocket). For the purposes of this article, we’ve used the former calculations.

Smartphones With the Highest Levels of Radiation Emissions

The Motorola Edge has the highest radiation emission with a SAR value of 1.79 watts of radiation per kilogram. That’s significantly higher than most other smartphone models in the market today and close to the limits set by the EU for cellphones.

Coming in second is the Axon 11 5G by ZTE with 1.59, followed by the OnePlus 6T at a close third with 1.55 W/kg. The Sony Experia AX2 Plus with 1.41 and the Google Pixel 3 XL and 3A XL at 1.39 round out the top five.

Here is a look at the 10 smartphones that emit the highest level of radiation:

Smartphones with the lowest level of radiation

Now that we have detailed the worst offenders let’s look at the smartphones with the lowest levels of radiation emissions.

Smartphones With the Lowest Levels of Radiation Emissions

The smartphone with the lowest SAR value is the ZTE Blade V10, with 0.13 watts of radiation per kilogram.

Mobile devices by Samsung carry some of the least radiation risks. The company has four phones considered to be the best in the category. The Galaxy Note 10+ is the best model in their line-up, emitting a meager 0.19 watts per kilogram.

Here is a look at the 10 smartphones that emit the lowest levels of radiation:

Smartphones with the highest level of radiation

There is currently no significant research proving the harmful effects of phone radiation.

Despite this, people who are in contact with their devices for extended periods can at least quantify their radiation exposure and make choices about which brands serve their needs.

Click for Comments

AI

Visualizing the Top U.S. States for AI Jobs

Nearly 800,000 AI jobs were posted in the U.S. throughout 2022. View this graphic to see a breakdown by state.

Published

on

Visualizing the Top U.S. States for AI Jobs

Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.

This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.

In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.

RankStateNumber of job postings% of total
1California142,15417.9%
2Texas66,6248.4%
3New York43,8995.5%
4Massachusetts34,6034.3%
5Virginia34,2214.3%
6Florida33,5854.2%
7Illinois31,5694.0%
8Washington31,2843.9%
9Georgia26,6203.3%
10Michigan25,3663.2%
11North Carolina23,8543.0%
12New Jersey23,4472.9%
13Colorado20,4212.6%
14Pennsylvania20,3972.6%
15Arizona19,5142.5%
16Ohio19,2082.4%
17Maryland16,7692.1%
18Minnesota11,8081.5%
19Tennessee11,1731.4%
20Missouri10,9901.4%
21Oregon10,8111.4%
22Washington, D.C.9,6061.2%
23Indiana9,2471.2%
24Connecticut8,9601.1%
25Wisconsin8,8791.1%
26Alabama7,8661.0%
27Kansas7,6831.0%
28Arkansas7,2470.9%
29Utah6,8850.9%
30Nevada6,8130.9%
31Idaho6,1090.8%
32Oklahoma5,7190.7%
33Iowa5,6700.7%
34South Carolina4,9280.6%
35Louisiana4,8060.6%
36Kentucky4,5360.6%
37Nebraska4,0320.5%
38Delaware3,5030.4%
39New Mexico3,3570.4%
40Rhode Island2,9650.4%
41New Hampshire2,7190.3%
42Hawaii2,5500.3%
43Mississippi2,5480.3%
44Maine2,2270.3%
45South Dakota2,1950.3%
46Vermont1,5710.2%
47North Dakota1,2270.2%
48Alaska9700.1%
49West Virginia8870.1%
50Montana8330.1%
51Wyoming7690.1%

The following chart adds some context to these numbers. It shows how the percentage of AI job postings in some of the top states has changed since 2010.

We can see that California quickly became the primary destination for AI jobs in the early 2010s, presumably as Silicon Valley companies began developing the technology.

California’s share has since declined, with a significant number of jobs seemingly moving to Texas. In fact, many tech companies are relocating to Texas to avoid California’s relatively higher taxes and cost of living.

The 10 Most In-Demand Specialized Skills

Lightcast also captured the top 10 specialized skills that were required for AI-related jobs. These are listed in the table below.

SkillFrequency (number of postings)Frequency (% of postings)
Python296,66237%
Computer Science260,33333%
SQL185,80723%
Data Analysis159,80120%
Data Science157,85520%
Amazon Web Services155,61519%
Agile Methodology152,96519%
Automation138,79117%
Java133,85617%
Software Engineering133,28617%

If you’re interested in a career that focuses on AI, becoming proficient in Python is likely to be a good first step.

Continue Reading

Subscribe

Popular