Google Mobility Trends (2020)
Data license: ODbL · Data source: our world in data github owid/covid-19-data repository
33,306 rows sorted by Transit Stations
This data as json, copyable, CSV (advanced)
| Link | rowid | Country | Year | Retail & Recreation | Grocery & Pharmacy | Parks | Transit Stations ▼ | Workplaces | Residential |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | Afghanistan | 45 | ||||||
| 2 | 2 | Afghanistan | 46 | ||||||
| 210 | 210 | Angola | 45 | ||||||
| 211 | 211 | Angola | 46 | ||||||
| 398 | 398 | Angola | 233 | -16.143 | -4.428999999999999 | -10.286 | 11.714 | ||
| 399 | 399 | Angola | 234 | -16.285999999999998 | -4.857 | -10.429 | 11.714 | ||
| 400 | 400 | Angola | 235 | -16.285999999999998 | -5.143 | -10.429 | 11.714 | ||
| 401 | 401 | Angola | 236 | -16.285999999999998 | -5.428999999999999 | -10.429 | 11.714 | ||
| 402 | 402 | Angola | 237 | -16.0 | -5.428999999999999 | -10.571 | 11.714 | ||
| 403 | 403 | Angola | 238 | -15.714 | -4.857 | -10.429 | 11.571 | ||
| 404 | 404 | Angola | 239 | -15.0 | -4.143 | -10.286 | 11.429 | ||
| 405 | 405 | Angola | 240 | -14.0 | -3.571 | -10.286 | 11.286 | ||
| 406 | 406 | Angola | 241 | -12.857000000000001 | -2.4290000000000003 | -10.429 | 11.0 | ||
| 407 | 407 | Angola | 242 | -11.857000000000001 | -1.714 | -10.429 | 10.714 | ||
| 408 | 408 | Angola | 243 | -10.142999999999999 | -0.28600000000000003 | -10.286 | 10.429 | ||
| 409 | 409 | Angola | 244 | -8.714 | 1.143 | -10.0 | 10.0 | ||
| 410 | 410 | Angola | 245 | -7.2860000000000005 | 2.1430000000000002 | -10.142999999999999 | 9.714 | ||
| 411 | 411 | Angola | 246 | -6.0 | 3.429 | -10.142999999999999 | 9.429 | ||
| 412 | 412 | Angola | 247 | -5.2860000000000005 | 4.2860000000000005 | -10.142999999999999 | 9.286 | ||
| 413 | 413 | Angola | 248 | -4.571000000000001 | 4.571000000000001 | -10.0 | 9.286 | ||
| 414 | 414 | Angola | 249 | -4.0 | 4.7139999999999995 | -10.142999999999999 | 9.286 | ||
| 415 | 415 | Angola | 250 | -3.8569999999999998 | 4.571000000000001 | -10.286 | 9.286 | ||
| 416 | 416 | Angola | 251 | -3.8569999999999998 | 4.2860000000000005 | -10.286 | 9.429 | ||
| 417 | 417 | Angola | 252 | -3.714 | 3.714 | -9.857000000000001 | 9.429 | ||
| 418 | 418 | Angola | 253 | -3.714 | 2.571 | -9.714 | 9.571 | ||
| 419 | 419 | Angola | 254 | -3.714 | 2.0 | -9.571 | 9.571 | ||
| 420 | 420 | Angola | 255 | -4.0 | 0.5710000000000001 | -9.571 | 9.571 | ||
| 464 | 464 | Antigua and Barbuda | 45 | ||||||
| 465 | 465 | Antigua and Barbuda | 46 | ||||||
| 652 | 652 | Antigua and Barbuda | 233 | -30.570999999999998 | 15.2 | ||||
| 653 | 653 | Antigua and Barbuda | 236 | -32.0 | 14.667 | ||||
| 654 | 654 | Antigua and Barbuda | 237 | -32.857 | 14.286 | ||||
| 655 | 655 | Antigua and Barbuda | 238 | -32.714 | 14.0 | ||||
| 656 | 656 | Antigua and Barbuda | 239 | -32.857 | 13.571 | ||||
| 657 | 657 | Antigua and Barbuda | 240 | -32.571 | 13.286 | ||||
| 658 | 658 | Antigua and Barbuda | 243 | -32.571 | 12.429 | ||||
| 659 | 659 | Antigua and Barbuda | 244 | -32.286 | 11.142999999999999 | ||||
| 660 | 660 | Antigua and Barbuda | 245 | -32.429 | 10.857000000000001 | ||||
| 661 | 661 | Antigua and Barbuda | 246 | -32.714 | 10.857000000000001 | ||||
| 662 | 662 | Antigua and Barbuda | 247 | -32.429 | 10.429 | ||||
| 663 | 663 | Antigua and Barbuda | 250 | -32.143 | 9.857000000000001 | ||||
| 664 | 664 | Antigua and Barbuda | 251 | -32.714 | 10.0 | ||||
| 665 | 665 | Antigua and Barbuda | 252 | -32.429 | 9.714 | ||||
| 666 | 666 | Antigua and Barbuda | 253 | -32.429 | 9.429 | ||||
| 667 | 667 | Antigua and Barbuda | 254 | -31.857 | 9.0 | ||||
| 668 | 668 | Antigua and Barbuda | 255 | -31.0 | 8.5 | ||||
| 712 | 712 | Argentina | 45 | ||||||
| 713 | 713 | Argentina | 46 | ||||||
| 966 | 966 | Aruba | 45 | ||||||
| 967 | 967 | Aruba | 46 | ||||||
| 1154 | 1154 | Aruba | 233 | -26.0 | 13.857000000000001 | ||||
| 1155 | 1155 | Aruba | 234 | -26.833000000000002 | 13.571 | ||||
| 1156 | 1156 | Aruba | 235 | -27.4 | 13.429 | ||||
| 1157 | 1157 | Aruba | 236 | -26.4 | 13.286 | ||||
| 1158 | 1158 | Aruba | 237 | -25.6 | 12.857000000000001 | ||||
| 1159 | 1159 | Aruba | 238 | -24.6 | 12.571 | ||||
| 1160 | 1160 | Aruba | 239 | -24.0 | 12.286 | ||||
| 1161 | 1161 | Aruba | 240 | -24.0 | 12.142999999999999 | ||||
| 1162 | 1162 | Aruba | 241 | -24.0 | 12.142999999999999 | ||||
| 1163 | 1163 | Aruba | 242 | -24.0 | 12.0 | ||||
| 1164 | 1164 | Aruba | 243 | -24.2 | 11.857000000000001 | ||||
| 1165 | 1165 | Aruba | 244 | -24.0 | 11.571 | ||||
| 1166 | 1166 | Aruba | 245 | -24.2 | 11.429 | ||||
| 1167 | 1167 | Aruba | 246 | -24.0 | 11.286 | ||||
| 1168 | 1168 | Aruba | 247 | -23.2 | 11.142999999999999 | ||||
| 1169 | 1169 | Aruba | 248 | -23.2 | 11.0 | ||||
| 1170 | 1170 | Aruba | 249 | -23.2 | 11.0 | ||||
| 1171 | 1171 | Aruba | 250 | -22.6 | 10.857000000000001 | ||||
| 1172 | 1172 | Aruba | 251 | -22.6 | 10.857000000000001 | ||||
| 1173 | 1173 | Aruba | 252 | -22.0 | 10.714 | ||||
| 1174 | 1174 | Aruba | 253 | -21.6 | 10.714 | ||||
| 1175 | 1175 | Aruba | 254 | -21.6 | 10.714 | ||||
| 1176 | 1176 | Aruba | 255 | -21.333000000000002 | 10.857000000000001 | ||||
| 1220 | 1220 | Australia | 45 | ||||||
| 1221 | 1221 | Australia | 46 | ||||||
| 1474 | 1474 | Austria | 45 | ||||||
| 1475 | 1475 | Austria | 46 | ||||||
| 1728 | 1728 | Bahamas | 45 | ||||||
| 1729 | 1729 | Bahamas | 46 | ||||||
| 1916 | 1916 | Bahamas | 233 | -68.429 | -57.5 | -41.428999999999995 | -60.0 | 25.857 | |
| 1917 | 1917 | Bahamas | 234 | -66.0 | -51.0 | -38.571 | -57.571000000000005 | 24.570999999999998 | |
| 1918 | 1918 | Bahamas | 235 | -64.0 | -40.5 | -35.429 | -55.286 | 23.714000000000002 | |
| 1919 | 1919 | Bahamas | 236 | -64.286 | -40.5 | -36.429 | -55.143 | 24.0 | |
| 1920 | 1920 | Bahamas | 237 | -59.714 | -26.25 | -31.429000000000002 | -51.571000000000005 | 21.570999999999998 | |
| 1921 | 1921 | Bahamas | 238 | -60.0 | -25.2 | -31.285999999999998 | -50.286 | 21.429000000000002 | |
| 1922 | 1922 | Bahamas | 239 | -59.286 | -26.6 | -30.285999999999998 | -49.143 | 20.857 | |
| 1923 | 1923 | Bahamas | 240 | -58.714 | -23.5 | -30.0 | -48.286 | 20.570999999999998 | |
| 1924 | 1924 | Bahamas | 241 | -57.857 | -23.666999999999998 | -28.857 | -47.571000000000005 | 20.143 | |
| 1925 | 1925 | Bahamas | 242 | -56.428999999999995 | -22.0 | -27.143 | -46.286 | 19.429000000000002 | |
| 1926 | 1926 | Bahamas | 243 | -53.0 | -21.143 | -26.285999999999998 | -44.571000000000005 | 18.570999999999998 | |
| 1927 | 1927 | Bahamas | 244 | -49.286 | -20.857 | -25.285999999999998 | -42.857 | 17.570999999999998 | |
| 1928 | 1928 | Bahamas | 245 | -46.286 | -21.0 | -24.570999999999998 | -41.428999999999995 | 16.714000000000002 | |
| 1929 | 1929 | Bahamas | 246 | -43.571000000000005 | -21.714000000000002 | -24.429000000000002 | -39.857 | 16.0 | |
| 1930 | 1930 | Bahamas | 247 | -40.714 | -22.285999999999998 | -24.285999999999998 | -38.429 | 15.286 | |
| 1931 | 1931 | Bahamas | 248 | -37.143 | -22.0 | -23.429000000000002 | -37.0 | 14.714 | |
| 1932 | 1932 | Bahamas | 249 | -35.0 | -21.143 | -22.714000000000002 | -36.286 | 14.429 | |
| 1933 | 1933 | Bahamas | 250 | -35.714 | -21.857 | -23.429000000000002 | -36.143 | 14.571 | |
| 1934 | 1934 | Bahamas | 251 | -35.857 | -21.714000000000002 | -23.570999999999998 | -35.714 | 14.286 | |
| 1935 | 1935 | Bahamas | 252 | -36.143 | -22.0 | -23.285999999999998 | -35.0 | 13.857000000000001 | |
| 1936 | 1936 | Bahamas | 253 | -36.0 | -22.0 | -22.429000000000002 | -34.571 | 13.429 |
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CREATE TABLE "Google Mobility Trends (2020)" ( "Country" TEXT, "Year" INTEGER, "Retail & Recreation" REAL, "Grocery & Pharmacy" REAL, "Parks" REAL, "Transit Stations" REAL, "Workplaces" REAL, "Residential" REAL );