Myrtle Beach-Conway-North Myrtle Beach, South Carolina Unemployment
The BLS reported that the unemployment rate for Myrtle Beach fell 0.0 percentage points in April 2022 to 4.1%. For the same month, the metro unemployment rate was 0.8 percentage points higher than the South Carolina rate. The unemployment rate in Myrtle Beach peaked in April 2020 at 20.7% and is now 16.6 percentage points lower. From a post peak low of 4.1% in March 2022, the unemployment rate has now grown by 0.0 percentage points. You can also compare Myrtle Beach unemployment with unemployment in other cities.
| Unemployment Rate | April 2022 | Month/Month | Year/Year |
|---|---|---|---|
| National | 3.6% | 0.0 | -2.4 |
| South Carolina | 3.3% | -0.1 | -0.9 |
| Myrtle Beach | 4.1% | 0.0 | -1.7 |
Unemployment Rate: Myrtle Beach, South Carolina, National
Note: Recessions shown in gray.
Myrtle Beach, South Carolina Unemployed
The number of people unemployed in Myrtle Beach peaked in April 2020 at 39,021. There are now 30,536 fewer people unemployed in the metropolitan area.
| Unemployed Persons | April 2022 | Month/Month | Year/Year |
|---|---|---|---|
| Myrtle Beach | 8,485 | -67 | -3,248 |
Number of Unemployed Persons
Myrtle Beach, South Carolina Unemployment History
| Date | National Unemployment Rate |
South Carolina Unemployment Rate |
Myrtle Beach Unemployment Rate |
Myrtle Beach Unemployed |
|---|---|---|---|---|
| May 2022 |
3.6% | — | — | — |
| April 2022 |
3.6% | 3.3% | 4.1% | 8,485 |
| March 2022 |
3.6% | 3.4% | 4.1% | 8,552 |
| February 2022 |
3.8% | 3.5% | 4.2% | 8,676 |
| January 2022 |
4.0% | 3.5% | 4.3% | 8,905 |
| December 2021 |
3.9% | 3.6% | 4.7% | 9,581 |
| November 2021 |
4.2% | 3.6% | 4.6% | 9,562 |
| October 2021 |
4.6% | 3.6% | 4.7% | 9,742 |
| September 2021 |
4.7% | 3.8% | 5.0% | 10,342 |
| August 2021 |
5.2% | 3.9% | 5.4% | 11,028 |
| July 2021 |
5.4% | 4.0% | 5.7% | 11,607 |
| June 2021 |
5.9% | 4.1% | 5.9% | 11,911 |
1. Metro area unemployment rates are now seasonally adjusted. The BLS has started publishing smoothed seasonally adjusted metropolitan area data which makes comparisons to state and national data more relevant than the unadjusted numbers. ↩
Department of Numbers
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