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Visualizing the Poverty Rate of Each U.S. State

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Visualizing the Poverty Rate of Each U.S. State

How many people live below the poverty line in states across the country?

Today’s interactive map comes to us from Overflow Solutions, and it visualizes the percentage of people living in poverty across the United States over the time period of 2008-2017.

U.S. Poverty Rates Today

To start, we’ll look at the situation using the most recent data, which was pulled from the American Community Survey (2017) done by the U.S. Census Bureau.

For additional context, it is worth noting that the national poverty level is estimated to sit at 13.4%.

Here are the five states with the highest levels of poverty today:

RankStatePoverty Rate (2017)
#1Mississippi19.8%
#2Louisiana19.7%
#3New Mexico19.7%
#4West Virginia19.1%
#5Kentucky17.2%

In three southern states, Mississippi, Louisiana, and New Mexico, nearly 20% of the population lives below the poverty line. Two Appalachian states round out the top five: West Virginia (19.1%) and Kentucky (17.2%).

On the flipside, here are the five states with the lowest levels of poverty:

RankStatePoverty Rate (2017)
#47Connecticut9.6%
#48 (t)Minnesota9.5%
#48 (t)Hawaii9.5%
#50Maryland9.3%
#51New Hampshire7.7%

New Hampshire (7.7%) has the lowest poverty rate by a long shot – about 1.6% lower than its closest competitor, which is the state of Maryland (9.3%).

Poverty Rates Over Time

While the data from 2017 provides an interesting snapshot, perhaps it is more insightful to look at the trend over time. In other words, are poverty rates increasing or decreasing?

Below is a comparison of state averages in 2008 (pre-crisis), 2012 (recent peak), and 2017:

 200820122017
Avg. state poverty rate10.1%15.2%13.1%

Since the recent peak in 2012, poverty has decreased by an average of 2.1% per state – in fact, over the 2012-2017 time period, there were only three states that did not see a reduction in poverty levels: Alaska, Delaware, and West Virginia.

Using the longer time window, however, you’ll see that poverty rates have actually risen by 3.0% on average since 2008. Today, not a single state has a lower poverty rate than it did in 2008.

State Poverty Rates (All)

Finally, here’s a full state table that is sortable and searchable, showing poverty levels in 2008, 2012, and 2017, for your convenience:

 200820122017
Alabama13.1%19.0%16.9%
Alaska6.1%10.1%11.1%
Arizona12.6%18.7%14.9%
Arkansas14.6%19.8%16.4%
California11.2%17.0%13.3%
Colorado9.0%13.7%10.3%
Connecticut7.0%10.7%9.6%
Delaware7.6%12.0%13.6%
District of Columbia15.4%18.2%16.6%
Florida10.7%17.1%14.0%
Georgia12.4%19.2%14.9%
Hawaii5.8%11.6%9.5%
Idaho9.9%15.9%12.8%
Illinois10.0%14.7%12.6%
Indiana10.6%15.6%13.5%
Iowa7.9%12.7%10.7%
Kansas8.4%14.0%11.9%
Kentucky14.4%19.4%17.2%
Louisiana14.8%19.9%19.7%
Maine8.7%14.7%11.1%
Maryland5.7%10.3%9.3%
Massachusetts7.0%11.9%10.5%
Michigan11.5%17.4%14.2%
Minnesota6.5%11.4%9.5%
Mississippi19.0%24.2%19.8%
Missouri10.6%16.2%13.4%
Montana11.5%15.5%12.5%
Nebraska7.6%13.0%10.8%
Nevada9.0%16.4%13.0%
New Hampshire4.9%10.0%7.7%
New Jersey6.7%10.8%10.0%
New Mexico14.7%20.8%19.7%
New York11.1%15.9%14.1%
North Carolina12.0%18.0%14.7%
North Dakota8.6%11.2%10.3%
Ohio10.5%16.3%14.0%
Oklahoma13.2%17.2%15.8%
Oregon10.5%17.2%13.2%
Pennsylvania9.2%13.7%12.5%
Rhode Island8.3%13.7%11.6%
South Carolina13.0%18.3%15.4%
South Dakota9.7%13.4%13.0%
Tennessee12.9%17.9%15.0%
Texas14.1%17.9%14.7%
Utah6.9%12.8%9.7%
Vermont6.5%11.8%11.3%
Virginia7.9%11.7%10.6%
Washington8.4%13.5%11.0%
West Virginia13.1%17.8%19.1%
Wisconsin7.3%13.2%11.3%
Wyoming6.1%12.6%11.3%

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Economy

The $300 Billion Counterfeit Goods Problem, and How It Hurts Brands

Every year, the global economy loses over $300 billion from the sale of counterfeit goods. Here are the problems created by this, and why they matter.

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When you are walking along the boardwalk on vacation, you know it’s a “buyer beware” type of situation when you buy directly from a street vendor.

Those Cuban cigars are probably not Cubans, the Louis Vuitton bag is a cheap replica, and the Versace sunglasses too cheap to be the real thing.

But what if you placed an order for something you thought was truly legitimate, and the fake brand had you fooled? What if this imitation product fell apart in a week, short-circuited, or even caused you direct harm?

Can you Spot a Fake?

Today’s infographic comes to us from Best Choice Reviews, and it highlights facts and figures around counterfeit goods that are passed off as quality brands, and how this type of activity damages consumers, businesses, and the wider economy.

The $300 Billion Counterfeit Goods Problem, and How It Hurts Brands

In 2018, counterfeit goods caused roughly $323 billion of damage to the global economy.

These fake products, which pretend to by genuine by using similar design and packaging elements, are not only damaging to the reputations of real brands – they also lead to massive issues for consumers, including the possibility of injury or death.

A Surprisingly Widespread Issue

While it’s easy to downplay the issue of fake goods, it turns out that the data is pretty clear on the subject – and counterfeit goods are finding their way into consumer hands in all sorts of ways.

More than 25% of consumers have unwillingly purchased non-genuine goods online – and according to a test by the U.S. Government Accountability Office, it was found that two of every five brand name products they bought online (through 3rd party retailers) were counterfeits.

Some of the most common knockoff goods were as follows:

  • Makeup – 32%
  • Skincare – 25%
  • Supplements – 22%
  • Medication – 16%
    • Aside from the direct impact on consumers and brands themselves, why does this matter?

      The Importance of Spotting Fakes

      Outside of the obvious implications, counterfeit activity can open up the door to bigger challenges as well.

    • Economic Impact
      On a macro scale, the sale of counterfeit goods can snowball into other issues. For example, U.S. accusations of Chinese manufacturers for stealing and reproducing intellectual property has been a major driver of tariff action.
    • Unsecure Information
      Counterfeit merchants present higher risks for credit card fraud or identity theft, while illegal download sites can host malware that steals personal information
    • Criminal Activity
      Funds from illicit goods can also be used to help bankroll other illegal activities, such as extortion or terrorism.
    • Unsafe Problems
      It was found that 99% of all fake iPhone chargers failed to pass critical safety tests – and 10% of medical products are counterfeits in developing countries, which can raise the risk of illness or even death.

    The issue of fake goods is not only surprisingly widespread in the online era, but the imitation of legitimate brands can also be a catalyst for more serious problems.

    As a consumer, there are several things you can do to increase the confidence in your purchases, and it all adds up to make a difference.

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Business

The Reputational Risks That CEOs are Most Worried About

It takes decades to earn a reputation, and just one mistake to ruin it. Here’s what business leaders see as the biggest reputational risks.

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The Reputational Risks That CEOs are Most Worried About

View the full-size version of the infographic by clicking here

Building an enduring business isn’t easy work.

It can take decades to earn trust and respect in a given market, and it only takes one terrible miscue to unravel all of that goodwill.

As a result, it’s no surprise that the world’s best CEOs think a lot about evaluating these kinds of risks. So what do executives see as being the biggest reputational risks lingering over the next 12 months for their businesses?

Risky Business

Today’s infographic comes to us from Raconteur, and it breaks down the near-term reputational risks seen by CEOs as based on research by Deloitte.

The concerns highlighted in the survey fall into three major categories:

  1. Security risks: including physical and cyber breaches (41%)
  2. Supply chain: risks arising from extended enterprise and key partners (37%)
  3. Crisis response capabilities: how the organization deals with crises (35%)

Let’s dive a little deeper, to see why these broad areas are such a concern.

Security Risks

As more people work remotely, CEOs see a rising risk stemming from data breaches.

Although 89% of the C-suite believes that employees will do everything they can do to safeguard information, about 22% say their employees aren’t aware of offsite data policies. The devices most at risk, according to this group, are company mobile phones (50%), company laptops (45%) and USB storage devices (41%).

Supply Chain Risk

When it comes to maintaining the quality of your product or service, it’s not optimal to be reliant on third-parties.

However, it’s also unlikely for companies to be fully vertically integrated – somewhere along the way, you need to get raw materials from a supplier, or you need to rely on a logistics company to deliver your goods to market. The more borders that need to be crossed, and the further an item has to go, the more complicated it all gets.

In terms of supply chain risk, CEOs are mostly concerned about government action (or inaction): uncertainty about policy, over-regulation, trade conflicts, geopolitical uncertainty, and protectionism were all items that registered high on the list.

Crisis Management

It pays to be prepared when it comes to crises.

The only problem? It would seem the data that C-level execs need to make emergency decisions is not up to snuff. For example, 95% of CEOs see customer and client data as being necessary in such a situation, but only 15% of companies are successfully collecting such data.

The same gap seems to occur when it comes to other types of data, including brand reputation data, financial forecasts and projections, employee needs and views, industry peer benchmarking, and supply chain data.

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