Economy
When Will Your Country Recover from the Pandemic?
What started as a novel virus in China quickly became a sweeping disease that shut down the world and put a 1.5 year halt on the global economy.
But while some countries’ economies are already back to normal, others are lagging far behind.
COVID-19 Recovery Timelines, by OECD Country
This chart using data from the OECD anticipates when countries will economically recover from the global pandemic, based on getting back to pre-pandemic levels of GDP per capita.
Note: The categorization of ‘advanced’ or ‘emerging’ economy was determined by OECD standards.
The Leaders of the Pack
At the top, China and the U.S. are recovering at breakneck speed. In fact, recovering is the wrong word for China, as they reached pre-pandemic GDP per capita levels just after Q2’2020.
On the other end, some countries are looking at years—not months—when it comes to their recovery date. Saudi Arabia isn’t expected to recover until after Q1’2024, and Argentina is estimated to have an even slower recovery, occurring only after Q2’2026.
Country | Recovery | Economy |
---|---|---|
🇧🇪 Belgium | After Q4 2022 | Advanced |
🇸🇪 Sweden | After Q4 2021 | Advanced |
🇸🇰 Slovakia | After Q4 2021 | Advanced |
🇳🇿 New Zealand | After Q4 2021 | Advanced |
🇩🇪 Germany | After Q4 2021 | Advanced |
🇪🇪 Estonia | After Q4 2021 | Advanced |
🇩🇰 Denmark | After Q4 2021 | Advanced |
🇮🇸 Iceland | After Q3 2023 | Advanced |
🇸🇮 Slovenia | After Q3 2022 | Advanced |
🇵🇹 Portugal | After Q3 2022 | Advanced |
🇫🇷 France | After Q3 2022 | Advanced |
🇦🇹 Austria | After Q3 2022 | Advanced |
🇵🇱 Poland | After Q3 2021 | Advanced |
🇳🇴 Norway | After Q3 2021 | Advanced |
🇱🇺 Luxembourg | After Q3 2021 | Advanced |
🇱🇻 Latvia | After Q3 2021 | Advanced |
🇯🇵 Japan | After Q3 2021 | Advanced |
🇫🇮 Finland | After Q3 2021 | Advanced |
🇪🇸 Spain | After Q2 2023 | Advanced |
🇬🇧 United Kingdom | After Q2 2022 | Advanced |
🇳🇱 Netherlands | After Q2 2022 | Advanced |
🇮🇹 Italy | After Q2 2022 | Advanced |
🇬🇷 Greece | After Q2 2022 | Advanced |
🇨🇿 Czech Republic | After Q2 2022 | Advanced |
🇨🇦 Canada | After Q2 2022 | Advanced |
🇺🇸 United States | After Q2 2021 | Advanced |
🇰🇷 South Korea | After Q2 2021 | Advanced |
🇮🇪 Ireland | After Q2 2021 | Advanced |
🇨🇭 Switzerland | After Q1 2022 | Advanced |
🇮🇱 Israel | After Q1 2022 | Advanced |
🇭🇺 Hungary | After Q1 2022 | Advanced |
🇦🇺 Australia | After Q1 2022 | Advanced |
🇱🇹 Lithuania | After Q1 2021 | Advanced |
🇿🇦 South Africa | After Q4 2022 | Emerging |
🇮🇩 Indonesia | After Q4 2021 | Emerging |
🇮🇳 India | After Q4 2021 | Emerging |
🇲🇽 Mexico | After Q3 2023 | Emerging |
🇨🇴 Colombia | After Q3 2022 | Emerging |
🇧🇷 Brazil | After Q3 2022 | Emerging |
🇨🇱 Chile | After Q3 2021 | Emerging |
🇹🇷 Turkey | After Q3 2020 | Emerging |
🇦🇷 Argentina | After Q2 2026 | Emerging |
🇨🇷 Costa Rica | After Q2 2023 | Emerging |
🇷🇺 Russia | After Q2 2021 | Emerging |
🇨🇳 China | After Q2 2020 | Emerging |
🇸🇦 Saudi Arabia | After Q1 2024 | Emerging |
Most countries will hit pre-pandemic levels of GDP per capita by the end of 2022. The slowest recovering advanced economies—Iceland and Spain—aren’t expected to bounce back until 2023.
Four emerging economies are speeding ahead, and are predicted to get back on their feet by the end of this year or slightly later (if they haven’t already):
- 🇷🇺 Russia: after Q2’2021
- 🇨🇱 Chile: after Q3’2021
- 🇮🇳 India: after Q4’2021
- 🇮🇩 Indonesia: after Q4’2021
However, no recovery is guaranteed, and many countries will continue face setbacks as waves of COVID-19 variants hit—India, for example, was battling its biggest wave as recently as May 2021.
Trailing Behind
Why are some countries recovering faster than others? One factor seems to be vaccination rates.
Country | Doses Administered per 100 People | Total Doses Administered | Percent of Population Fully Vaccinated |
---|---|---|---|
World | 47 | 3,573,004,544 | – |
🇦🇪 U.A.E. | 166 | 16,194,526 | 69% |
🇲🇹 Malta | 143 | 718,418 | 71% |
🇧🇭 Bahrain | 136 | 2,224,916 | 63% |
🇮🇸 Iceland | 129 | 466,434 | 70% |
🇺🇾 Uruguay | 129 | 4,458,394 | 58% |
🇨🇱 Chile | 128 | 24,248,545 | 60% |
🇦🇼 Aruba | 125 | 133,421 | 59% |
🇶🇦 Qatar | 123 | 3,474,944 | 56% |
🇬🇧 United Kingdom | 122 | 81,438,892 | 53% |
Mongolia | 121 | 3,912,996 | 56% |
Israel | 121 | 10,959,633 | 58% |
Canada | 118 | 44,293,659 | 48% |
Singapore | 113 | 6,440,735 | 42% |
Belgium | 111 | 12,700,513 | 46% |
Curaçao | 108 | 170,857 | 51% |
Denmark | 108 | 6,266,892 | 43% |
Maldives | 106 | 561,748 | 46% |
Netherlands | 105 | 18,273,238 | 43% |
Spain | 105 | 49,585,197 | 49% |
Hungary | 104 | 10,155,466 | 54% |
Portugal | 103 | 10,579,259 | 44% |
Luxembourg | 102 | 633,974 | 41% |
Germany | 102 | 84,989,850 | 45% |
China | 102 | 1,426,347,000 | – |
United States | 101 | 336,054,953 | 48% |
Ireland | 101 | 4,995,719 | 44% |
Austria | 100 | 8,866,474 | 44% |
Italy | 99 | 59,966,908 | 41% |
Switzerland | 95 | 8,133,486 | 42% |
France | 93 | 62,321,355 | 40% |
Sweden | 93 | 9,536,164 | 36% |
Finland | 90 | 4,951,925 | 26% |
Norway | 89 | 4,785,937 | 31% |
Greece | 89 | 9,560,592 | 42% |
Lithuania | 88 | 2,459,605 | 42% |
Czech Republic | 88 | 9,346,397 | 38% |
Poland | 85 | 32,413,199 | 42% |
Dominican Rep. | 84 | 9,066,151 | 34% |
Estonia | 79 | 1,049,416 | 34% |
Serbia | 78 | 5,415,434 | 38% |
Slovenia | 78 | 1,626,072 | 36% |
Cyprus | 76 | 916,819 | 35% |
Turkey | 74 | 61,747,399 | 23% |
Slovakia | 73 | 4,003,639 | 33% |
Mauritius | 71 | 901,530 | 24% |
Croatia | 71 | 2,870,866 | 32% |
Macau | 69 | 434,726 | 27% |
Cuba | 69 | 7,767,601 | 17% |
Latvia | 66 | 1,264,433 | 33% |
Bhutan | 64 | 487,060 | 0.02% |
Saudi Arabia | 63 | 21,556,314 | 9.2% |
Hong Kong | 62 | 4,638,908 | 26% |
Barbados | 59 | 168,955 | 25% |
Argentina | 58 | 26,134,815 | 11% |
Brazil | 57 | 120,726,752 | 16% |
Kuwait | 56 | 2,375,455 | 22% |
Morocco | 56 | 20,584,812 | 26% |
Cambodia | 56 | 9242925 | 24% |
El Salvador | 53 | 3,422,214 | 20% |
Japan | 53 | 66,714,528 | 20% |
Costa Rica | 52 | 2,606,791 | 16% |
French Polynesia | 51 | 141,523 | 24% |
Montenegro | 49 | 304,655 | 23% |
Fiji | 47 | 419,998 | 8% |
Romania | 47 | 9,092,141 | 24% |
Guyana | 46 | 363,442 | 16% |
Colombia | 45 | 22,624,568 | 19% |
Jordan | 45 | 4,498,748 | 18% |
Azerbaijan | 42 | 4,242,727 | 17% |
Panama | 42 | 1,781,542 | 15% |
Mexico | 41 | 52,704,960 | 17% |
Malaysia | 41 | 13,107,681 | 13% |
South Korea | 41 | 21,157,612 | 12% |
New Caledonia | 40 | 115,218 | 19% |
Ecuador | 40 | 6,890,876 | 10% |
Kazakhstan | 39 | 7,303,180 | 14% |
Suriname | 38 | 222,377 | 8% |
Australia | 38 | 9,631,807 | 10% |
Belize | 38 | 147,080 | 10% |
Albania | 37 | 1,052,108 | 16% |
Russia | 35 | 50,383,638 | 14% |
Oman | 35 | 1,728,618 | 6% |
North Macedonia | 34 | 713,114 | 13% |
Samoa | 32 | 62,161 | 4.7% |
Moldova | 31 | 834,527 | 13% |
Grenada | 31 | 35,072 | 13% |
Peru | 31 | 9,954,429 | 12% |
Saint Lucia | 30 | 54,361 | 13% |
Sri Lanka | 29 | 6,431,100 | 7.3% |
India | 29 | 391,340,491 | 6% |
New Zealand | 29 | 1,404,343 | 11% |
Brunei | 28 | 121,241 | 4.3% |
Tonga | 27 | 28,667 | – |
Bulgaria | 27 | 1,896,574 | 12% |
Bolivia | 27 | 3,117,521 | 7% |
Trinidad and Tobago | 27 | 375,924 | 11% |
Bahamas | 25 | 97,992 | 10% |
Lebanon | 25 | 1,693,164 | 9% |
Laos | 24 | 1,708,981 | 9% |
Saint Vincent and the Grenadines | 23 | 25,509 | – |
Cape Verde | 23 | 124,958 | 3% |
Timor-Leste | 22 | 281,283 | 3% |
Indonesia | 21 | 55,819,781 | 6% |
Equatorial Guinea | 21 | 279,112 | 9% |
West Bank & Gaza | 20 | 958,519 | 9% |
Thailand | 19 | 13,533,717 | 5% |
Taiwan | 19 | 4,603,639 | 1% |
Tunisia | 19 | 2,206,980 | 6% |
São Tomé and Príncipe | 18 | 37,716 | 5% |
Bosnia and Herzegovina | 14 | 470,218 | 5% |
Venezuela | 14 | 4,000,000 | 4% |
Nepal | 13 | 3,730,344 | 4% |
Philippines | 13 | 14,074,514 | 4% |
Botswana | 12 | 284,676 | 5% |
Honduras | 12 | 1,172,830 | 1% |
Paraguay | 12 | 826,642 | 2% |
Belarus | – | – | – |
Zimbabwe | 11 | 1,575,539 | 4% |
Comoros | 11 | 90,880 | – |
Uzbekistan | 11 | 3,541,442 | 4% |
Pakistan | 10 | 2,166,0650 | 2% |
Jamaica | 9.8 | 290,382 | 4% |
Armenia | 8.8 | 260,813 | 2% |
Ukraine | 8.8 | 3,899,890 | 3% |
Iran | 7.9 | 6,530,124 | 3% |
Georgia | 7.8 | 289,399 | 3% |
South Africa | 7.7 | 4,535,222 | 3% |
Guatemala | 6.9 | 1,146,477 | 1% |
Namibia | 6.7 | 166,616 | 1% |
Myanmar | 6.5* | 3,500,000 | – |
Libya | 6.3 | 425,119 | – |
Bangladesh | 6.2 | 10,108,224 | 3% |
Guinea | 6 | 770,688 | 2% |
Algeria | – | – | – |
Eswatini | 5.2 | 60,069 | 2% |
Rwanda | 5.1 | 646,909 | 2% |
Senegal | 5.1 | 823,610 | 2% |
Angola | 4.9 | 1,558,201 | 2% |
Egypt | 4.8 | 4,851,349 | 1% |
Vanuatu | 4.7 | 14,026 | – |
Vietnam | 4.3 | 4,185,623 | 0.3% |
Togo | – | – | – |
Tajikistan | 4.3 | 397,694 | 0.2% |
Ghana | 4.2 | 1,265,306 | 1% |
Mauritania | 4 | 182,642 | 0.3% |
Solomon Islands | 3.8 | 25,628 | 1% |
Ivory Coast | 3.3 | 861,278 | – |
Gabon | 3.3 | 72,351 | 1% |
Republic of the Congo | 3 | 163,742 | – |
Kenya | 2.9 | 1,550,389 | 1% |
Sierra Leone | 2.9 | 225,380 | 0.2% |
Iraq | 2.8 | 1,087,866 | 1% |
Djibouti | 2.8 | 26,796 | – |
Afghanistan | 2.7 | 1,024,168 | 1% |
Kyrgyzstan | 2.7 | 173,700 | 1.% |
Lesotho | 2.7 | 56,322 | 1% |
Nicaragua | – | – | – |
Uganda | 2.4 | 1,079,943 | – |
Malawi | 2.3 | 428,407 | 0.2% |
Nigeria | 2 | 3,938,945 | 1% |
Liberia | 1.9 | 95,423 | 0.2% |
Ethiopia | 1.9 | 2,090,997 | – |
Gambia | 1.9 | 43,557 | 1% |
Niger | 1.8 | 423,335 | 0.3% |
Mozambique | 1.7 | 508,184 | 1% |
Central African Republic | 1.7 | 78,685 | – |
Somalia | 1.6 | 249,790 | 1% |
Sudan | 1.6 | 677,957 | 0.3% |
Zambia | 1.4 | 243,818 | 0.3% |
Guinea-Bissau | 1.3 | 25,012 | 0.1% |
Yemen | 1 | 297,405 | <0.1% |
Mali | 1 | 196,862 | 0.3% |
Syria | 0.8 | 131,221 | 0.1% |
Madagascar | 0.7 | 197,001 | – |
Turkmenistan | – | – | – |
Cameroon | 0.6 | 163,921 | 0.1% |
Papua New Guinea | 0.6 | 51,170 | <0.1% |
South Sudan | 0.5 | 55,915 | <0.1% |
Benin | 0.4 | 52,563 | 0.1% |
Burkina Faso | 0.2 | 33,960 | <0.1% |
Chad | 0.2 | 24,459 | <0.1% |
Congo | 0.1 | 73,764 | <0.1% |
As of July 16th, 2021.
The higher the rate of vaccination, the harder it is for COVID-19 to spread. This gives countries a chance to loosen restrictions, let people get back to work and regular life, and fuel the economy. Additionally, the quicker vaccines are rolled out, the less time there is for variants to mutate.
Another factor is the overall strength of a country’s healthcare infrastructure. More advanced economies often have more ICU capacity, more efficient dissemination of public health information, and, simply, more hospital staff. These traits help better handle the pandemic, with reduced cases, less restrictions, and a speedy recovery.
Finally, the level of government support and fiscal stimulus injected into different economies has determined how swiftly they’ve recovered. Similar to the disparity in vaccine rollouts, there was a significant fiscal stimulus gap, especially during the heat of the pandemic.
Recovering to Normal?
Many experts and government leaders are now advocating for funneling more money into healthcare infrastructure and disease research preventatively. The increased funding now would help stop worldwide shut downs and needless loss of life in future.
Time will tell when we return to “normal” everywhere, however, normal will likely never be the same. Many impacts of the global pandemic will stay with us over the long term.
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Markets
3 Insights From the FED’s Latest Economic Snapshot
Stay up to date on the U.S. economy with this infographic summarizing the most recent Federal Reserve data released.

3 Insights From the Latest U.S. Economic Data
Each month, the Federal Reserve Bank of New York publishes monthly economic snapshots.
To make this report accessible to a wider audience, we’ve identified the three most important takeaways from the report and compiled them into one infographic.
1. Growth figures in Q2 will make or break a recession
Generally speaking, a recession begins when an economy exhibits two consecutive quarters of negative GDP growth. Because U.S. GDP shrank by -1.5% in Q1 2022 (January to March), a lot rests on the Q2 figure (April to June) which should be released on July 28th.
Referencing strong business activity and continued growth in consumer spending, economists predict that U.S. GDP will grow by +2.1% in Q2. This would mark a decisive reversal from Q1, and put an end to recessionary fears for the time being.
Unfortunately, inflation is the top financial concern for Americans, and this is dampening consumer confidence. Shown below, the consumer confidence index reflects the public’s short-term outlook for income, business, and labor conditions.
Falling consumer confidence suggests that more people will delay big purchases such as cars, major appliances, and vacations.
2. The COVID-era housing boom could be over
Housing markets have been riding high since the beginning of the COVID-19 pandemic, but this run is likely coming to an end. Here’s a summary of what’s happened since 2020:
- Lockdowns in early 2020 created lots of pent-up demand for homes
- Greater household savings and record-low mortgage rates pushed demand even further
- Supply chain disruptions greatly increased the cost of materials like lumber
- Construction of new homes couldn’t keep up, and housing supply fell to historic lows
Today, home prices are at record highs and the cost of borrowing is rapidly rising. For evidence, look no further than the 30-year fixed mortgage rate, which has doubled to more than 6% since the beginning of 2022.
Given these developments, the drop in the number of home sales could be a sign that many Americans are being priced out of the market.
3. Don’t expect groceries to become any cheaper
Inflation has been a hot topic this year, especially with gas prices reaching $5 a gallon. But there’s one category of goods that’s perhaps even more alarming: food.
The following table includes food inflation over the past three years, as the percent change over the past 12 months.
Date | CPI Food Component (%) |
---|---|
2018-02-01 | 1.4% |
2019-05-01 | 2.0% |
2019-06-01 | 1.9% |
2019-07-01 | 1.8% |
2019-08-01 | 1.7% |
2019-09-01 | 1.8% |
2019-10-01 | 2.1% |
2019-11-01 | 2.0% |
2019-12-01 | 1.8% |
2020-01-01 | 1.8% |
2020-02-01 | 1.8% |
2020-03-01 | 1.9% |
2020-04-01 | 3.5% |
2020-05-01 | 4.0% |
2020-06-01 | 4.5% |
2020-07-01 | 4.1% |
2020-08-01 | 4.1% |
2020-09-01 | 4.0% |
2020-10-01 | 3.9% |
2020-11-01 | 3.7% |
2020-12-01 | 3.9% |
2021-01-01 | 3.8% |
2021-02-01 | 3.6% |
2021-03-01 | 3.5% |
2021-04-01 | 2.4% |
2021-05-01 | 2.1% |
2021-06-01 | 2.4% |
2021-07-01 | 3.4% |
2021-08-01 | 3.7% |
2021-09-01 | 4.6% |
2021-10-01 | 5.3% |
2021-11-01 | 6.1% |
2021-12-01 | 6.3% |
2022-01-01 | 7.0% |
2022-02-01 | 7.9% |
2022-03-01 | 8.8% |
2022-04-01 | 9.4% |
2022-05-01 | 10.1% |
From this data, we can see that food inflation really picked up speed in April 2020, jumping to +3.5% from +1.9% in the previous month. This was due to supply chain disruptions and a sudden rebound in global demand.
Fast forward to today, and food inflation is running rampant at 10.1%. A contributing factor is the impending fertilizer shortage, which stems from the Ukraine war. As it turns out, Russia is not only a massive exporter of oil, but wheat and fertilizer as well.
Demographics
Mapped: A Decade of Population Growth and Decline in U.S. Counties
This map shows which counties in the U.S. have seen the most growth, and which places have seen their populations dwindle in the last 10 years.

A Decade of Population Growth and Decline in U.S. Counties
There are a number of factors that determine how much a region’s population changes.
If an area sees a high number of migrants, along with a strong birth rate and low death rate, then its population is bound to increase over time. On the flip side, if more people are leaving the area than coming in, and the region’s birth rate is low, then its population will likely decline.
Which areas in the United States are seeing the most growth, and which places are seeing their populations dwindle?
This map, using data from the U.S. Census Bureau, shows a decade of population movement across U.S. counties, painting a detailed picture of U.S. population growth between 2010 and 2020.
Counties With The Biggest Population Growth from 2010-2020
To calculate population estimates for each county, the U.S. Census Bureau does the following calculations:
From 2010 to 2020, Maricopa County in Arizona saw the highest increase in its population estimate. Over a decade, the county gained 753,898 residents. Below are the counties that saw the biggest increases in population:
Rank | County | Point of Reference | State | Pop. Growth (2010–2020) |
---|---|---|---|---|
#1 | Maricopa County | Phoenix, Scottsdale | Arizona | +753,898 |
#2 | Harris County | Houston | Texas | +630,711 |
#3 | Clark County | Las Vegas | Nevada | +363,323 |
#4 | King County | Seattle | Washington | +335,884 |
#5 | Tarrant County | Fort Worth, Arlington | Texas | +305,180 |
#6 | Bexar County | San Antonio | Texas | +303,982 |
#7 | Riverside County | Riverside, Palm Springs | California | +287,626 |
#8 | Collin County | Plano | Texas | +284,967 |
#9 | Travis County | Austin | Texas | +270,111 |
#10 | Hillsborough County | Tampa | Florida | +264,446 |
Phoenix and surrounding areas grew faster than any other major city in the country. The region’s sunny climate and amenities are popular with retirees, but another draw is housing affordability. Families from more expensive markets—California in particular—are moving to the city in droves. This is a trend that spilled over into the pandemic era as more people moved into remote and hybrid work situations.
Texas counties saw a lot of growth as well, with five of the top 10 gainers located in the state of Texas. A big draw for Texas is its relatively affordable housing market. In 2021, average home prices in the state stood at $172,500—$53,310 below the national average.
Counties With The Biggest Population Drops from 2010-2020
On the opposite end of the spectrum, here’s a look at the top 10 counties that saw the biggest declines in their populations over the decade:
Rank | County | Point of Reference | State | Pop. Growth (2010–2020) |
---|---|---|---|---|
#1 | Cook County | Chicago | Illinois | -90,693 |
#2 | Wayne County | Detroit | Michigan | -74,224 |
#3 | Cuyahoga County | Cleveland | Ohio | -50,220 |
#4 | Genesee County | Flint | Michigan | -20,165 |
#5 | Suffolk County | Long Island | New York | -20,064 |
#6 | Caddo Parish | Shreveport | Louisiana | -18,173 |
#7 | Westmoreland County | Murrysville | Pennsylvania | -17,942 |
#8 | Hinds County | Jackson | Mississippi | -17,751 |
#9 | Kanawha County | Charleston | West Virginia | -16,672 |
#10 | Cambria County | Johnstown | Pennsylvania | -14,786 |
The largest drops happened in counties along the Great Lakes, including Cook County (which includes the city of Chicago) and Wayne County (which includes the city of Detroit).
For many of these counties, particularly those in America’s “Rust Belt”, population drops over this period were a continuation of decades-long trends. Wayne County is an extreme example of this trend. From 1970 to 2020, the area lost one-third of its population.
U.S. Population Growth in Percentage Terms (2010-2020)
While the map above is great at showing where the greatest number of Americans migrated, it downplays big changes in counties with smaller populations.
For example, McKenzie County in North Dakota, with a 2020 population of just 15,242, was the fastest-growing U.S. county over the past decade. The county’s 138% increase was driven primarily by the Bakken oil boom in the area. High-growth counties in Texas also grew as new sources of energy were extracted in rural areas.
The nation’s counties are evenly divided between population increase and decline, and clear patterns emerge.
Pandemic Population Changes
More recent population changes reflect longer-term trends. During the COVID-19 pandemic, many of the counties that saw the strongest population increases were located in high-growth states like Florida and Texas.
Below are the 20 counties that grew the most from 2020 to 2021.
Rank | County | Point of Reference | State | Pop. Growth (2020–2021) |
---|---|---|---|---|
#1 | Maricopa County | Phoenix | Arizona | +58,246 |
#2 | Collin County | Plano | Texas | +36,313 |
#3 | Riverside County | Riverside, Palm Springs | California | +35,631 |
#4 | Fort Bend County | Sugar Land | Texas | +29,895 |
#5 | Williamson County | Georgetown | Texas | +27,760 |
#6 | Denton County | Denton | Texas | +27,747 |
#7 | Polk County | Lakeland | Florida | +24,287 |
#8 | Montgomery County | The Woodlands | Texas | +23,948 |
#9 | Lee County | Fort Myers | Florida | +23,297 |
#10 | Utah County | Provo | Utah | +21,843 |
#11 | Pinal County | San Tan Valley | Arizona | +19,974 |
#12 | Clark County | Las Vegas | Nevada | +19,090 |
#13 | Pasco County | New Port Richey | Florida | +18,322 |
#14 | Wake County | Raleigh | North Carolina | +16,651 |
#15 | St. Johns County | St. Augustine | Florida | +15,550 |
#16 | Hillsborough County | Tampa | Florida | +14,814 |
#17 | Bexar County | San Antonio | Texas | +14,184 |
#18 | Ada County | Boise | Idaho | +13,947 |
#19 | Osceola County | Kissimmee | Florida | +12,427 |
#20 | St. Lucie County | Fort Pierce | Florida | +12,304 |
Many of these counties are located next to large cities, reflecting a shift to the suburbs and larger living spaces. However, as COVID-19 restrictions ease, and the pandemic housing boom tapers off due to rising interest rates, it remains to be seen whether the suburban shift will continue, or if people begin to migrate back to city centers.
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