Pinal
County in Arizona
County
The population development of Pinal.
Name | Status | Population Census 1990-04-01 | Population Census 2000-04-01 | Population Census 2010-04-01 | Population Census 2020-04-01 | |
---|---|---|---|---|---|---|
Pinal | County | 116,379 | 179,727 | 375,770 | 425,264 | → |
Arizona | State | 3,665,228 | 5,130,632 | 6,392,017 | 7,151,502 |
Contents: Places
The population development of the places in Pinal.
Name | Status | County | Population Census 1990-04-01 | Population Census 2000-04-01 | Population Census 2010-04-01 | Population Census 2020-04-01 | |
---|---|---|---|---|---|---|---|
Ak-Chin Village | Census-Designated Place | Pinal | 353 | 669 | 862 | 884 | → |
Apache Junction | City | Pinal / Maricopa | 18,545 | 31,771 | 35,709 | 38,512 | → |
Arizona City | Census-Designated Place | Pinal | 1,940 | 4,385 | 10,475 | 9,868 | → |
Blackwater | Census-Designated Place | Pinal | 1,014 | 707 | 1,062 | 1,190 | → |
Cactus Forest | Census-Designated Place | Pinal | ... | 419 | 594 | 606 | → |
Campo Bonito | Census-Designated Place | Pinal | ... | ... | 74 | 83 | → |
Casa Blanca | Census-Designated Place | Pinal | 1,095 | 1,359 | 1,388 | 1,727 | → |
Casa Grande | City | Pinal | 20,580 | 26,560 | 48,571 | 53,660 | → |
Chuichu | Census-Designated Place | Pinal | 374 | 339 | 269 | 240 | → |
Coolidge | City | Pinal | 8,209 | 8,871 | 11,862 | 13,259 | → |
Dudleyville | Census-Designated Place | Pinal | 1,045 | 1,323 | 959 | 597 | → |
Eloy | City | Pinal | 7,199 | 10,530 | 16,651 | 15,628 | → |
Florence | Town | Pinal | 8,124 | 17,386 | 25,424 | 26,761 | → |
Gold Canyon | Census-Designated Place | Pinal | 1,291 | 6,029 | 10,897 | 11,404 | → |
Goodyear Village | Census-Designated Place | Pinal | 192 | 415 | 457 | 463 | → |
Hayden | Town | Gila / Pinal | 909 | 892 | 662 | 516 | → |
Kearny | Town | Pinal | 2,262 | 2,249 | 1,950 | 1,733 | → |
Kohatk | Census-Designated Place | Pinal | ... | 35 | 27 | 37 | → |
Lower Santan Village | Census-Designated Place | Pinal | 236 | 350 | 374 | 437 | → |
Mammoth | Town | Pinal | 1,846 | 1,807 | 1,494 | 1,083 | → |
Marana | Town | Pima / Pinal | 4,858 | 13,820 | 34,541 | 51,897 | → |
Maricopa | City | Pinal | 1,416 | 1,631 | 43,493 | 58,143 | → |
Oracle | Census-Designated Place | Pinal | 3,043 | 3,563 | 3,686 | 3,051 | → |
Picacho | Census-Designated Place | Pinal | 489 | 288 | 426 | 250 | → |
Queen Creek | Town | Maricopa / Pinal | 3,122 | 4,839 | 26,732 | 59,516 | → |
Queen Valley | Census-Designated Place | Pinal | 512 | 820 | 788 | 967 | → |
Red Rock | Census-Designated Place | Pinal | 107 | 140 | 2,169 | 2,625 | → |
Sacate Village | Census-Designated Place | Pinal | ... | 304 | 169 | 260 | → |
Sacaton | Census-Designated Place | Pinal | 2,314 | 2,562 | 2,672 | 3,254 | → |
Sacaton Flats Village | Census-Designated Place | Pinal | 40 | 166 | 541 | 576 | → |
Saddlebrooke | Census-Designated Place | Pinal | 469 | 4,727 | 9,678 | 12,574 | → |
San Manuel | Census-Designated Place | Pinal | 4,009 | 4,375 | 3,551 | 3,114 | → |
San Tan Valley | Census-Designated Place | Pinal | 2,226 | 5,122 | 86,178 | 99,894 | → |
Santa Cruz | Census-Designated Place | Pinal | ... | 42 | 37 | 39 | → |
Stanfield | Census-Designated Place | Pinal | 644 | 651 | 740 | 558 | → |
Stotonic Village | Census-Designated Place | Pinal | 94 | 365 | 659 | 610 | → |
Superior | Town | Pinal | 3,468 | 3,249 | 2,870 | 2,413 | → |
Sweet Water Village | Census-Designated Place | Pinal | ... | 108 | 83 | 123 | → |
Tat Momoli | Census-Designated Place | Pinal | 22 | 21 | 10 | 18 | → |
Top-of-the-World | Census-Designated Place | Pinal / Gila | ... | 330 | 231 | 189 | → |
Upper Santan Village | Census-Designated Place | Pinal | 337 | 401 | 495 | 665 | → |
Vaiva Vo | Census-Designated Place | Pinal | ... | 67 | 128 | 93 | → |
Wet Camp Village | Census-Designated Place | Pinal | 105 | 155 | 229 | 300 | → |
Winkelman | Town | Pinal / Gila | 676 | 425 | 356 | 294 | → |
Source: U.S. Census Bureau (web).
Explanation: Latest available rebased population figures are used. In case of significant changes, they were recalculated by using census block data.