Chart of the Week

These Charts Put the Historic U.S. Job Losses in Perspective

Published

2 years ago

April 17, 2020

Jeff Desjardins

These Charts Put the Historic U.S. Job Losses in Perspective

When recessions hit, it’s not unusual to see millions of jobs lost.

Such episodes are a regular part of the business cycle and when they occur, most businesses do their best to tough things out. Then, as time progresses, it gradually becomes clear that spending must be curtailed, budget cuts must be made, and workers must unfortunately be sent home.

This economic process normally takes months, or even years, to unwind.

But, the COVID-19 pandemic has thrown a wrench into the economic status quo, creating a situation that is incomparable to any previous downturn. Instead of a gradual economic transition to slower growth prospects, business operations have suddenly screeched to a halt with no clear window to resume.

Beyond Comparison

The Great Lockdown of the economy has been completely unprecedented, both in terms of the speed of the shutdown and its impact on jobs.

As a result, the statistics being released are completely surreal. Perhaps the best example of this is number for initial jobless claims in the U.S., which tops 22 million over the last four weeks.

Worst U.S. Job Losses on Record (Four Week Period)

Year	Description	Peak Jobless claims (4-wk total)	% of U.S. Population
1975	Stagflation	2.24 million	1.0%
1980	Fed tightening (Volcker)	2.52 million	1.1%
1982	Double-dip recession	2.70 million	1.2%
1991	Early 1990s recession	2.00 million	0.8%
2001	Dotcom Bust	1.96 million	0.7%
2009	Great Recession	2.64 million	0.9%
2020	The Great Lockdown	22.03 million	6.7%

Source: FT

As you can see above, the number is 10x higher than many of the worst four-week job losses on record, so historical comparisons don’t come close.

In other words, if you were using recent recessions as a potential barometer of how bad things could get for jobless claims, the numbers coming from COVID-19 crisis just blew up your model.

The Recession Time Machine

To get further context on the numbers above, it’s worth jumping in a time machine to revisit what happened to job numbers in previous recessions:

Stagflation and Oil Shocks (1973-75)
This recession put an end to the Post WWII global economic expansion, and was characterized by the 1973 oil embargo, the aftermath of the Nixon Shock, and the collapse of the Bretton Woods system of international finance. Unemployment and inflation were both high (stagflation), and the unemployment rate in the U.S. reached 9.0% in May 1975.
The Double-Dip Recession (1980, 1981-1982)
This “W-shaped” recession saw economic contraction first in 1980, only to return again in 1981. This corresponded with the Iranian Revolution, as well as Fed chair Paul Volcker’s aggressive policy to rein in inflation with high interest rates. Unemployment peaked at 10.8% in 1982 — the highest rate seen since the Great Depression.
The Great Recession (2009)
The most recent recession in memory peaked with 10.0% in unemployment in October 2009. It took until 2016 for unemployment to fall back to pre-recession levels.

Finally, it’s worth noting that during the Great Depression (1929-1933), unemployment reached a historic high of 24.9%. To get to a comparable equivalent in modern times, there would need to be 41 million Americans out of work permanently.

Room for Optimism

Although the initial jobless claims are staggering and clearly without modern precedent, there is a case to be made for cautious optimism.

Many of the aforementioned recessions took months or years to culminate, with peak job losses occurring at the tail end of each recession. The current crisis, now being called “The Great Lockdown”, caused many businesses to shut doors suddenly and against their will. It also corresponded with unexpected closures of national borders and the halting of regular trade activity around the world.

When and if normal economic activity resumes, it’ll be interesting to see how much of the damage is temporary.

Editor’s note: While we show the figure for peak unemployment during the Great Depression in both the chart and article, there is no comparable number available for weekly jobless claims. According to Federal Reserve data, it appears that the weekly data series on initial jobless claims started in the 1960s.

Related Topics:jobs unemployment covid-19 jobless claims great lockdown

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The Road to Recovery: Which Economies are Reopening?

We look at mobility rates as well as COVID-19 recovery rates for 41 economies, to see which countries are reopening for business.

Published

2 years ago

May 28, 2020

Iman Ghosh

The Road to Recovery: Which Economies are Reopening?

COVID-19 has brought the world to a halt—but after months of uncertainty, it seems that the situation is slowly taking a turn for the better.

Today’s chart measures the extent to which 41 major economies are reopening, by plotting two metrics for each country: the mobility rate and the COVID-19 recovery rate:

Mobility Index
This refers to the change in activity around workplaces, subtracting activity around residences, measured as a percentage deviation from the baseline.
COVID-19 Recovery Rate
The number of recovered cases in a country is measured as the percentage of total cases.

Data for the first measure comes from Google’s COVID-19 Community Mobility Reports, which relies on aggregated, anonymous location history data from individuals. Note that China does not show up in the graphic as the government bans Google services.

COVID-19 recovery rates rely on values from CoronaTracker, using aggregated information from multiple global and governmental databases such as WHO and CDC.

Reopening Economies, One Step at a Time

In general, the higher the mobility rate, the more economic activity this signifies. In most cases, mobility rate also correlates with a higher rate of recovered people in the population.

Here’s how these countries fare based on the above metrics.

Country	Mobility Rate	Recovery Rate	Total Cases	Total Recovered
Argentina	-56%	31.40%	14,702	4,617
Australia	-41%	92.03%	7,150	6,580
Austria	-100%	91.93%	16,628	15,286
Belgium	-105%	26.92%	57,849	15,572
Brazil	-48%	44.02%	438,812	193,181
Canada	-67%	52.91%	88,512	46,831
Chile	-110%	41.58%	86,943	36,150
Colombia	-73%	26.28%	25,366	6,665
Czechia	-29%	70.68%	9,140	6,460
Denmark	-93%	88.43%	11,512	10,180
Finland	-93%	81.57%	6,743	5,500
France	-100%	36.08%	186,238	67,191
Germany	-99%	89.45%	182,452	163,200
Greece	-32%	47.28%	2,906	1,374
Hong Kong	-10%	97.00%	1,067	1,035
Hungary	-49%	52.31%	3,816	1,996
India	-65%	42.88%	165,386	70,920
Indonesia	-77%	25.43%	24,538	6,240
Ireland	-79%	88.92%	24,841	22,089
Israel	-31%	87.00%	16,872	14,679
Italy	-52%	64.99%	231,732	150,604
Japan	-33%	84.80%	16,683	14,147
Malaysia	-53%	80.86%	7,629	6,169
Mexico	-69%	69.70%	78,023	54,383
Netherlands	-97%	0.01%	45,950	3
New Zealand	-21%	98.01%	1,504	1,474
Norway	-100%	91.87%	8,411	7,727
Philippines	-87%	23.08%	15,588	3,598
Poland	-36%	46.27%	22,825	10,560
Portugal	-65%	58.99%	31,596	18,637
Singapore	-105%	55.02%	33,249	18,294
South Africa	-74%	52.44%	27,403	14,370
South Korea	-4%	91.15%	11,344	10,340
Spain	-67%	69.11%	284,986	196,958
Sweden	-93%	13.91%	35,727	4,971
Switzerland	-101%	91.90%	30,796	28,300
Taiwan	4%	95.24%	441	420
Thailand	-36%	96.08%	3,065	2,945
U.S.	-56%	28.20%	1,768,346	498,720
United Kingdom	-82%	0.05%	269,127	135
Vietnam	15%	85.02%	327	278

Mobility data as of May 21, 2020 (Latest available). COVID-19 case data as of May 29, 2020.

In the main scatterplot visualization, we’ve taken things a step further, assigning these countries into four distinct quadrants:

1. High Mobility, High Recovery

High recovery rates are resulting in lifted restrictions for countries in this quadrant, and people are steadily returning to work.

New Zealand has earned praise for its early and effective pandemic response, allowing it to curtail the total number of cases. This has resulted in a 98% recovery rate, the highest of all countries. After almost 50 days of lockdown, the government is recommending a flexible four-day work week to boost the economy back up.

2. High Mobility, Low Recovery

Despite low COVID-19 related recoveries, mobility rates of countries in this quadrant remain higher than average. Some countries have loosened lockdown measures, while others did not have strict measures in place to begin with.

Brazil is an interesting case study to consider here. After deferring lockdown decisions to state and local levels, the country is now averaging the highest number of daily cases out of any country. On May 28th, for example, the country had 24,151 new cases and 1,067 new deaths.

3. Low Mobility, High Recovery

Countries in this quadrant are playing it safe, and holding off on reopening their economies until the population has fully recovered.

Italy, the once-epicenter for the crisis in Europe is understandably wary of cases rising back up to critical levels. As a result, it has opted to keep its activity to a minimum to try and boost the 65% recovery rate, even as it slowly emerges from over 10 weeks of lockdown.

4. Low Mobility, Low Recovery

Last but not least, people in these countries are cautiously remaining indoors as their governments continue to work on crisis response.

With a low 0.05% recovery rate, the United Kingdom has no immediate plans to reopen. A two-week lag time in reporting discharged patients from NHS services may also be contributing to this low number. Although new cases are leveling off, the country has the highest coronavirus-caused death toll across Europe.

The U.S. also sits in this quadrant with over 1.7 million cases and counting. Recently, some states have opted to ease restrictions on social and business activity, which could potentially result in case numbers climbing back up.

Over in Sweden, a controversial herd immunity strategy meant that the country continued business as usual amid the rest of Europe’s heightened regulations. Sweden’s COVID-19 recovery rate sits at only 13.9%, and the country’s -93% mobility rate implies that people have been taking their own precautions.

COVID-19’s Impact on the Future

It’s important to note that a “second wave” of new cases could upend plans to reopen economies. As countries reckon with these competing risks of health and economic activity, there is no clear answer around the right path to take.

COVID-19 is a catalyst for an entirely different future, but interestingly, it’s one that has been in the works for a while.

Without being melodramatic, COVID-19 is like the last nail in the coffin of globalization…The 2008-2009 crisis gave globalization a big hit, as did Brexit, as did the U.S.-China trade war, but COVID is taking it to a new level.

—Carmen Reinhart, incoming Chief Economist for the World Bank

Will there be any chance of returning to “normal” as we know it?

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Visualizing the Countries Most Reliant on Tourism

With international travel grinding to a halt, here are the economies that have the most to lose from a lack of tourism.

Published

2 years ago

May 22, 2020

Dorothy Neufeld

Visualizing the Countries Most Reliant on Tourism

Without a steady influx of tourism revenue, many countries could face severe economic damage.

As the global travel and tourism industry stalls, the spillover effects to global employment are wide-reaching. A total of 330 million jobs are supported by this industry around the world, and it contributes 10%, or $8.9 trillion to global GDP each year.

Today’s infographic uses data from the World Travel & Tourism Council, and it highlights the countries that depend the most on the travel and tourism industry according to employment—quantifying the scale that the industry contributes to the health of the global economy.

Ground Control

Worldwide, 44 countries rely on the travel and tourism industry for more than 15% of their total share of employment. Unsurprisingly, many of the countries suffering the most economic damage are island nations.

At the same time, data reveals the extent to which certain larger nations rely on tourism. In New Zealand, for example, 479,000 jobs are generated by the travel and tourism industry, while in Cambodia tourism contributes to 2.4 million jobs.

Rank	Country	T&T Share of Jobs (2019)	T&T Jobs (2019)	Population
1	Antigua & Barbuda	91%	33,800	97,900
2	Aruba	84%	35,000	106,800
3	St. Lucia	78%	62,900	183,600
4	US Virgin Islands	69%	28,800	104,400
5	Macau	66%	253,700	649,300
6	Maldives	60%	155,600	540,500
7	St. Kitts & Nevis	59%	14,100	53,200
8	British Virgin Islands	54%	5,500	30,200
9	Bahamas	52%	103,900	393,200
10	Anguilla	51%	3,800	15,000
11	St. Vincent & the Grenadines	45%	19,900	110,900
12	Seychelles	44%	20,600	98,300
13	Grenada	43%	24,300	112,500
14	Former Netherlands Antilles	41%	25,700	26,200
15	Belize	39%	64,800	397,600
16	Cape Verde	39%	98,300	556,000
17	Dominica	39%	13,600	72,000
18	Vanuatu	36%	29,000	307,100
19	Barbados	33%	44,900	287,400
20	Cayman Islands	33%	12,300	65,700
21	Jamaica	33%	406,100	2,961,000
22	Montenegro	33%	66,900	628,100
23	Georgia	28%	488,200	3,989,000
24	Cambodia	26%	2,371,100	16,719,000
25	Fiji	26%	90,700	896,400
26	Croatia	25%	383,400	4,105,000
27	Philippines	24%	10,237,700	109,600,000
28	Sao Tome and Principe	23%	14,500	219,200
29	Bermuda	23%	7,800	62,300
30	Albania	22%	254,300	2,880,000
31	Iceland	22%	44,100	341,200
32	Greece	22%	846,200	10,420,000
33	Thailand	21%	8,054,600	69,800,000
34	Malta	21%	52,800	441,500
35	New Zealand	20%	479,400	4,822,000
36	Lebanon	19%	434,200	6,825,000
37	Mauritius	19%	104,200	1,272,000
38	Portugal	19%	902,400	10,197,000
39	Kiribati	18%	6,600	119,000
40	Gambia	18%	129,600	2,417,000
41	Jordan	18%	254,700	10,200,000
42	Dominican Republic	17%	810,800	10,848,000
43	Uruguay	16%	262,500	3,474,000
44	Namibia	15%	114,600	2,541,000

Croatia, another tourist hotspot, is hoping to reopen in time for peak season—the country generated tourism revenues of $13B in 2019. With a population of over 4 million, travel and tourism contributes to 25% of its workforce.

How the 20 Largest Economies Stack Up

Tourist-centric countries remain the hardest hit from global travel bans, but the world’s biggest economies are also feeling the impact.

In Spain, tourism ranks as the third highest contributor to its economy. If lockdowns remain in place until September, it is projected to lose $68 billion (€62 billion) in revenues.

Rank	Country	Travel and Tourism, Contribution to GDP
1	Mexico	15.5%
2	Spain	14.3%
3	Italy	13.0%
4	Turkey	11.3%
5	China	11.3%
6	Australia	10.8%
7	Saudi Arabia	9.5%
8	Germany	9.1%
9	United Kingdom	9.0%
10	U.S.	8.6%
11	France	8.5%
12	Brazil	7.7%
13	Switzerland	7.6%
14	Japan	7.0%
15	India	6.8%
16	Canada	6.3%
17	Netherlands	5.7%
18	Indonesia	5.7%
19	Russia	5.0%
20	South Korea	2.8%

On the other hand, South Korea is impacted the least: just 2.8% of its GDP is reliant on tourism.

Travel, Interrupted

Which countries earn the most from the travel and tourism industry in absolute dollar terms?

Topping the list was the U.S., with tourism contributing over $1.8 trillion to its economy, or 8.6% of its GDP in 2019. The U.S. remains a global epicenter for COVID-19 cases, and details remain unconfirmed if the country will reopen to visitors before summer.

Travel and tourism contribution to GDP in absolute terms

Meanwhile, the contribution of travel and tourism to China’s economy has more than doubled over the last decade, approaching $1.6 trillion. To help bolster economic activity, China and South Korea have eased restrictions by establishing a travel corridor.

As countries slowly reopen, other travel bubbles are beginning to make headway. For example, Estonia, Latvia, and Lithuania have eased travel restrictions by creating an established travel zone. Australia and New Zealand have a similar arrangement on the horizon. These travel bubbles allow citizens from each country to travel within a given zone.

Of course, COVID-19 will have a lasting impact on employment and global economic activity with inconceivable outcomes. When the dust finally settles, could global tourism face a reckoning?