Residence Movement between 2019 and 2020

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Residence Movement between 2019 and 2020

CSV File
Data Table

 

County Total: Same house one year ago: Moved within same county: Moved from different county within same state: Moved from different state: Moved from abroad:
 South Carolina 5,029,930  4,334,582  338,024  164,052  172,842  20,430 
 Abbeville 24,326  21,797  662  1,505  348  14 
 Aiken 167,586  147,358  10,171  3,037  6,870  150 
 Allendale 8,678  7,722  170  619  120  47 
 Anderson 197,888  170,770  14,443  7,540  4,693  442 
 Bamberg 14,178  12,853  285  537  437  66 
 Barnwell 20,967  18,529  859  1,108  438  33 
 Beaufort 187,612  160,557  12,746  2,570  10,948  791 
 Berkeley 218,763  183,781  11,592  10,353  11,879  1,158 
 Calhoun 14,384  13,628  454  219  83 
 Charleston 402,931  340,711  34,002  10,586  15,525  2,107 
 Cherokee 56,395  50,032  3,890  1,477  933  63 
 Chester 31,834  29,809  806  941  272 
 Chesterfield 45,344  40,981  2,561  967  810  25 
 Clarendon 33,452  30,918  1,259  638  523  114 
 Colleton 37,165  35,660  798  478  223 
 Darlington 66,205  60,714  2,472  2,408  559  52 
 Dillon 29,988  27,052  1,560  878  470  28 
 Dorchester 159,712  137,726  7,926  8,908  4,590  562 
 Edgefield 26,914  24,485  556  1,244  579  50 
 Fairfield 22,139  20,763  908  371  97 
 Florence 136,496  122,232  8,764  3,468  1,790  242 
 Georgetown 61,823  54,557  2,764  2,211  2,164  127 
 Greenville 507,479  428,375  45,121  14,056  15,694  4,233 
 Greenwood 69,868  63,243  3,811  1,816  944  54 
 Hampton 19,118  17,840  476  573  179  50 
 Horry 341,499  298,525  23,724  3,998  14,576  676 
 Jasper 29,310  25,437  1,221  1,780  872 
 Kershaw 65,247  59,272  2,557  1,895  1,201  322 
 Lancaster 93,968  82,031  4,982  2,108  4,687  160 
 Laurens 66,244  56,648  5,114  3,107  1,119  256 
 Lee 16,916  15,532  714  564  106 
 Lexington 291,463  255,279  18,096  11,660  5,479  949 
 Marion 30,500  28,614  1,372  275  194  45 
 Marlboro 26,018  22,948  1,512  752  752  54 
 McCormick 9,440  8,373  106  780  149  32 
 Newberry 37,819  34,399  1,743  1,101  504  72 
 Oconee 77,522  67,053  5,010  2,165  3,139  155 
 Orangeburg 86,265  80,089  2,911  2,028  976  261 
 Pickens 124,006  101,533  8,544  8,624  4,634  671 
 Richland 409,635  316,737  37,989  22,789  28,504  3,616 
 Saluda 20,130  18,131  379  840  444  336 
 Spartanburg 309,660  266,974  24,374  10,395  7,241  676 
 Sumter 104,883  90,309  8,582  1,846  3,477  669 
 Union 26,940  23,912  1,820  1,090  87  31 
 Williamsburg 30,234  28,028  1,210  654  275  67 
 York 270,986  232,665  17,008  7,093  13,258  962 
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Source: Table B07001 - Census Bureau ASC 5yr Tables

GEOGRAPHICAL MOBILITY IN THE PAST YEAR FOR CURRENT RESIDENCE IN THE UNITED STATES

DATA NOTES

TABLE ID:B07001

SURVEY/PROGRAM: American Community Survey

CENSUS YEAR: 2020 (Released 3/17/2022)

NEXT DATA RELEASE: Unknown

Current ACS data release information: American Community Survey Data Releases (census.gov)

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2020, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties.

This table provides geographical mobility for persons relative to their residence at the time they were surveyed. The characteristics crossed by geographical mobility reflect the current survey year.

The number of people moving out of Alaska to a different state has been overestimated in previous years due to collection issues. See Errata Notes for details.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.

Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.