HOVER FOR DETAIL ON SAVING DATA [1] GEO_NAME

Arizona Apache Cochise Coconino Gila Graham Greenlee La Paz Maricopa Mohave Navajo Pima Pinal Santa Cruz Yavapai Yuma

TOTAL DOMESTIC NET MIGRATION 2011 2012 2013 10,247 34,729 26,417 120 63 -1,476 414 -1,687 -2,961 -872 636 -414 -14 -340 55 -73 -278 133 180 96 200 -16 -132 79 9,676 35,469 31,613 2,622 1,410 337 -1,255 -1,058 -276 775 -213 -980 -5,287 1,113 401 -331 -463 -817 1,199 2,412 3,206 3,109 -2,299 -2,683

2014 41,975 -429 -2,987 -124 180 236 278 -51 34,284 1,104 48 861 6,843 -898 3,828 -1,198

HOVER FOR DETAIL ON SAVING DATA [2] GEO_NAME

United States Arizona Apache Cochise Coconino Gila Graham Greenlee La Paz Maricopa Mohave Navajo Pima Pinal Santa Cruz Yavapai Yuma

2011 774,909 10,291 8 164 62 18 1 14 10 7,909 -4 39 1,598 246 -31 120 137

INTERNATIONAL MIGRATION 2012 2013 866,102 843,145 11,244 10,864 8 8 429 228 64 72 18 16 1 1 14 14 8 8 8,054 8,180 -4 -1 37 38 1,950 1,754 239 257 -48 -47 106 117 368 219

2014 995,944 14,234 13 295 124 30 2 18 5 9,931 12 39 2,260 785 88 161 471

chart-main-title Net Domestic Migration in Arizona and Populous Counties chart-axis-header 2011 2012 2013 2014 Arizona 10247 34729 26417 41975 Maricopa 9676 35469 31613 34284 Pima 775 -213 -980 861 Pinal -5287 1113 401 6843

chart-main-title Net Domestic Migration in Arizona's Less Populous Counties chart-axis-header 2011 2012 2013 2014 Apache 120 63 -1476 -429 Cochise 414 -1687 -2961 -2987 Coconino -872 636 -414 -124 Gila -14 -340 55 180 Graham -73 -278 133 236 Greenlee 180 96 200 278 La Paz -16 -132 79 -51 Mohave 2622 1410 337 1104 Navajo -1255 -1058 -276 48 Santa Cruz -331 -463 -817 -898 Yavapai 1199 2412 3206 3828 Yuma 3109 -2299 -2683 -1198

chart-main-title International Migration in Arizona and Populous Counties chart-axis-header 2011 2012 2013 2014 Arizona 10291 11244 10864 14234 Maricopa 7909 8054 8180 9931 Pima 1598 1950 1754 2260 Pinal 246 239 257 785

chart-main-title International Migration in Arizona's Less Populous Counties chart-axis-header 2011 2012 2013 2014 Apache 8 8 8 13 Cochise 164 429 228 295 Coconino 62 64 72 124 Gila 18 18 16 30 Graham 1 1 1 2 Greenlee 14 14 14 18 La Paz 10 8 8 5 Mohave -4 -4 -1 12 Navajo 39 37 38 39 Santa Cruz -31 -48 -47 88 Yavapai 120 106 117 161 Yuma 137 368 219 471

chart-main-title chart-axis-header Arizona Apache Cochise Coconino Gila Graham Greenlee La Paz Maricopa Mohave Navajo Pima Pinal Santa Cruz Yavapai Yuma Southern Arizona

Domestic Net Migration 2001 2002 2003 107 129 113 -351 -185 1 -21 56 115 -30 93 -15 -52 8 -79 -137 -110 -165 -390 -813 -533 -90 -118 48 144 133 111 223 308 321 -23 179 96 53 103 73 196 311 340 -110 -118 -107 243 283 258 -26 10 57 45 101 99

2004 157 -114 71 33 -23 -156 -141 58 165 414 84 92 384 -49 335 94 123

2005 221 -65 124 -10 21 13 -77 130 237 412 86 128 518 44 405 175 186

2006 216 18 15 -23 143 135 161 10 184 350 94 139 1,121 41 441 112 286

2007 125 -70 2 -25 85 333 313 -32 87 136 73 79 924 -23 231 50 224

2008 85 -68 -23 -44 9 302 229 -117 64 -23 13 51 669 -56 127 56 166

2009 23 28 24 -14 -20 135 -147 -44 12 -39 -51 23 229 -21 28 35 64

chart-main-title Domestic Net Migration in Southern Arizona chart-axis-header 2001 2002 2003 2004 2005 Cochise -21 56 115 71 124 Graham -137 -110 -165 -156 13 Greenlee -390 -813 -533 -141 -77 Pima 53 103 73 92 128 Pinal 196 311 340 384 518 Santa Cruz -110 -118 -107 -49 44 Yuma -26 10 57 94 175

2006 15 135 161 139 1,121 41 112

2007 2 333 313 79 924 -23 50

2008 -23 302 229 51 669 -56 56

2009 24 135 -147 23 229 -21 35

LastUpdate SourceLine SourceURL Dataset Description

05/08/15 U.S. Department of Commerce, Census Bureau http://www.census.gov/popest/index.html Net migration (the difference between the number of in-migrants and the number of out-migrants) from within the United States is a primary source of population growth in Arizona. Estimates of net domestic migration have been produced annually since 2001 as part of the annual estimates of the population produced by the U.S. Census Bureau. Domestic net migration data are presented on Arizona Indicators since 2001 for the United States, Arizona, and the 15 Arizona counties. State and national data are reported in December. County data are released in March.

Technical Notes Notes on Visual#1

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DATA SOURCE: U.S. Department of Commerce, Census Bureau http://www.census.gov/popest/counties. Domestic net migration is estimated, based in part on data provided by the Internal Revenue Service. Estimates may be revised substantially after the decennial census count is available. Domestic net migration is estimated, based in part on data provided by the Internal Revenue Service. The existing time series since 2000 was created prior to the release of the 2010 census count. Given that the census count was considerably lower than the estimated population for Arizona, the 2000 through 2009 estimates will be substantially revised by the Census Bureau late in 2011. From 2001 to 2009, Arizona experienced net inmigration of nearly 700,000, approximately a third of which was in Southern Arizona. Inmigration in Arizona increased every year from about 57,000 in 2001 to a peak of almost 134,000 in 2006. By 2009, however, net inmigration had fallen to about 15,000. While Southern Arizona follows the same overall pattern, some counties occasionally experienced net outmigration. From 2001-2009, Greenlee and Santa Cruz counties experienced a slight net outmigration. In contrast, Pinal County had the fastest rate of net inmigration in the state, averaging over 500 per 10,000 population for the 2001-09 period, nearly 4 times the rate of the state or Southern Arizona.

United States Arizona Apache Cochise Coconino Gila Graham Greenlee La Paz Maricopa Mohave Navajo Pima Pinal Santa Cruz Yavapai Yuma Southern Arizona Southern Arizona Shares Cochise Graham Greenlee Pima Pinal Santa Cruz Yuma

1969 201,298,000 1,737,000 34,200 60,500 48,200 28,900 16,200 10,200 NA 946,000 24,600 46,500 345,000 67,400 13,700 35,800 NA 513,000

1970 203,798,722 1,794,912 32,883 62,770 49,180 29,559 16,722 10,477 NA 980,133 26,338 48,246 355,962 69,547 14,110 37,570 NA 529,588

1971 206,817,509 1,896,108 35,537 67,149 53,330 30,973 17,452 11,171 NA 1,026,421 28,736 51,231 380,255 73,798 14,799 40,403 NA 564,624

12% 3% 2% 67% 13% 3%

12% 3% 2% 67% 13% 3%

12% 3% 2% 67% 13% 3%

TOTAL POPULATION 1972 1973 209,274,882 211,349,205 2,008,847 2,125,281 37,048 39,525 70,938 74,558 58,203 61,654 31,217 32,282 17,577 18,682 11,236 11,610 NA NA 1,087,211 1,156,753 31,084 34,030 52,356 53,573 407,515 428,558 76,759 80,915 15,689 16,505 44,864 47,951 NA NA 599,714 630,828

12% 3% 2% 68% 13% 3%

12% 3% 2% 68% 13% 3%

1974 213,333,635 2,224,342 40,271 76,165 64,831 32,993 19,959 12,353 NA 1,217,419 36,572 56,516 443,741 84,538 17,355 50,233 NA 654,111

1975 215,456,585 2,286,348 42,907 76,922 69,825 32,536 19,721 12,159 NA 1,253,869 39,388 58,750 459,738 83,811 17,094 50,194 NA 669,445

1976 217,553,859 2,347,976 44,294 78,946 66,403 33,884 20,897 11,919 NA 1,280,015 42,458 61,039 471,596 86,408 17,895 55,746 NA 687,661

1977 219,760,875 2,427,310 48,487 80,688 68,939 34,300 21,045 11,859 NA 1,329,837 43,312 60,804 483,484 87,094 18,265 59,742 NA 702,435

1978 222,098,244 2,517,852 50,682 83,160 70,815 35,643 20,675 12,065 NA 1,388,892 46,017 62,961 497,687 87,593 18,605 62,377 NA 719,785

1979 224,568,579 2,638,582 52,122 86,268 73,357 36,471 21,251 12,220 NA 1,456,853 51,783 66,410 523,341 89,495 19,657 65,842 NA 752,232

1980 227,224,719 2,737,774 51,936 86,172 75,579 37,275 22,920 11,422 NA 1,520,840 56,423 67,482 535,780 91,342 20,505 68,705 NA 768,141

1981 229,465,744 2,810,108 51,204 88,036 77,794 38,018 23,133 11,478 NA 1,566,036 58,607 66,833 552,627 92,952 20,673 70,883 NA 788,899

1982 231,664,432 2,889,860 52,152 88,373 79,156 38,924 23,830 11,747 NA 1,611,847 62,539 66,910 568,004 96,802 21,689 74,009 NA 810,445

1983 233,792,014 2,968,924 53,082 88,872 81,118 38,655 23,943 10,694 13,034 1,663,973 64,005 68,893 582,172 97,846 21,841 76,769 84,027 909,395

1984 235,824,907 3,067,134 52,996 90,937 83,640 37,592 24,536 10,204 13,831 1,736,952 67,364 68,693 592,087 100,505 22,791 79,633 85,373 926,433

1985 237,923,734 3,183,539 53,465 91,192 84,431 37,319 24,574 9,052 13,650 1,828,748 70,769 70,714 602,647 103,230 23,534 82,642 87,572 941,801

1986 240,132,831 3,308,261 55,749 94,093 87,575 38,175 24,415 8,407 13,405 1,905,504 75,366 72,600 621,586 107,816 24,040 89,025 90,505 970,862

1987 242,288,936 3,437,103 58,197 96,690 90,380 38,627 25,204 8,273 13,513 1,991,400 77,314 73,793 640,419 111,171 25,627 93,811 92,684 1,000,068

1988 244,499,004 3,535,183 59,542 96,316 93,355 39,104 25,612 8,105 13,362 2,048,441 82,381 74,609 656,727 114,206 26,866 99,493 97,064 1,024,896

1989 246,819,222 3,622,184 60,827 97,551 95,194 39,592 26,213 7,839 13,807 2,101,787 87,040 76,579 664,200 115,743 28,781 103,651 103,380 1,043,707

1990 249,622,814 3,684,097 61,939 97,918 97,106 40,423 26,611 8,029 13,964 2,132,249 95,491 77,921 668,844 116,867 29,854 108,818 108,063 1,056,186

1991 252,980,941 3,788,576 62,634 99,058 99,647 41,327 27,339 8,265 14,314 2,198,219 102,263 78,706 679,813 120,987 30,918 113,119 111,967 1,078,347

1992 256,514,224 3,915,740 63,026 101,453 102,498 42,614 27,972 8,571 14,668 2,272,582 108,644 80,350 698,091 126,178 32,006 118,427 118,660 1,112,931

1993 259,918,588 4,065,440 64,489 104,403 105,570 44,020 28,966 8,747 15,180 2,359,883 115,706 83,642 719,598 131,935 33,245 125,164 124,892 1,151,786

1994 263,125,821 4,245,089 66,085 109,323 108,680 45,407 29,657 8,803 15,894 2,475,159 122,906 85,422 745,112 138,343 34,337 131,986 127,975 1,193,550

1995 266,278,393 4,432,499 68,274 112,480 110,954 47,074 30,587 8,920 16,562 2,598,183 130,274 88,432 768,212 145,863 35,007 139,901 131,776 1,232,845

1996 269,394,284 4,586,940 69,508 112,880 112,686 48,437 31,503 9,034 17,547 2,703,078 136,436 90,646 783,685 152,633 35,205 146,414 137,248 1,262,188

1997 272,646,925 4,736,990 70,478 114,907 114,444 49,639 32,203 9,081 18,277 2,805,009 140,922 92,910 798,521 158,705 36,074 151,924 143,896 1,293,387

1998 275,854,104 4,883,342 69,851 116,091 114,874 50,496 32,795 8,919 18,859 2,909,040 145,155 94,824 813,386 165,492 36,809 157,686 149,065 1,322,557

1999 279,040,168 5,023,823 69,801 116,530 115,307 50,990 33,279 8,535 19,355 3,004,985 150,351 96,100 828,905 173,364 37,713 162,943 155,665 1,353,991

2000 282,165,844 5,166,304 69,525 118,115 116,706 51,305 33,484 8,506 19,579 3,097,620 156,141 97,841 848,509 181,071 38,503 168,743 160,656 1,388,844

2001 285,049,647 5,303,869 67,859 118,606 117,813 51,112 33,280 8,248 19,481 3,200,195 159,780 98,524 865,742 188,134 38,873 173,108 163,114 1,415,997

2002 287,745,630 5,451,472 67,288 119,487 120,444 51,181 33,094 7,674 19,300 3,299,567 165,132 101,349 886,001 197,685 39,259 178,194 165,817 1,449,017

2003 290,242,027 5,590,820 67,993 120,105 121,682 50,901 32,794 7,356 19,485 3,393,057 171,047 103,297 902,981 208,751 39,528 183,264 168,579 1,480,094

2004 292,936,109 5,758,692 68,011 122,467 123,479 50,830 32,454 7,282 19,665 3,503,520 178,264 105,066 924,059 220,630 40,149 189,309 173,507 1,520,548

2005 295,618,454 5,973,970 68,301 124,824 124,955 50,910 32,658 7,269 19,985 3,647,939 185,729 107,015 948,905 237,495 41,085 197,256 179,644 1,571,880

2006 298,431,771 6,190,987 69,097 126,075 126,177 51,635 33,318 7,442 20,101 3,776,593 192,333 109,042 975,483 270,537 42,008 206,319 184,827 1,639,690

2007 301,393,632 6,360,238 69,303 126,978 127,598 52,231 34,749 7,739 20,119 3,873,280 195,346 111,007 996,593 302,435 42,665 211,539 188,656 1,699,815

2008 304,177,401 6,499,207 69,552 127,707 128,696 52,297 36,177 8,018 19,971 3,960,221 195,135 112,355 1,010,126 328,576 43,091 214,486 192,799 1,746,494

2009 306,656,290 6,587,653 70,627 128,680 130,009 52,300 37,031 8,030 19,870 4,019,885 194,234 112,915 1,019,505 340,505 43,557 214,892 195,613 1,772,921

2010 309,050,816 6,676,627 71,256 130,304 130,949 52,216 36,594 7,723 19,770 4,063,802 194,299 113,353 1,027,226 371,680 43,716 215,102 198,637 1,815,880

12% 3% 2% 68% 13% 3%

11% 3% 2% 69% 13% 3%

11% 3% 2% 69% 13% 3%

11% 3% 2% 69% 12% 3%

12% 3% 2% 69% 12% 3%

11% 3% 2% 70% 12% 3%

11% 3% 1% 70% 12% 3%

11% 3% 1% 70% 12% 3%

11% 3% 1% 70% 12% 3%

10% 3% 1% 64% 11% 2% 9%

10% 3% 1% 64% 11% 2% 9%

10% 3% 1% 64% 11% 2% 9%

10% 3% 1% 64% 11% 2% 9%

10% 3% 1% 64% 11% 3% 9%

9% 2% 1% 64% 11% 3% 9%

9% 3% 1% 64% 11% 3% 10%

9% 3% 1% 63% 11% 3% 10%

9% 3% 1% 63% 11% 3% 10%

9% 3% 1% 63% 11% 3% 11%

9% 3% 1% 62% 11% 3% 11%

9% 2% 1% 62% 12% 3% 11%

9% 2% 1% 62% 12% 3% 11%

9% 2% 1% 62% 12% 3% 11%

9% 2% 1% 62% 12% 3% 11%

9% 2% 1% 62% 13% 3% 11%

9% 2% 1% 61% 13% 3% 11%

9% 2% 1% 61% 13% 3% 12%

8% 2% 1% 61% 13% 3% 12%

8% 2% 1% 61% 14% 3% 11%

8% 2% 0% 61% 14% 3% 11%

8% 2% 0% 61% 15% 3% 11%

8% 2% 0% 60% 15% 3% 11%

8% 2% 0% 59% 16% 3% 11%

7% 2% 0% 59% 18% 3% 11%

7% 2% 0% 58% 19% 2% 11%

7% 2% 0% 58% 19% 2% 11%

7% 2% 0% 57% 20% 2% 11%

HOVER FOR DETAIL ON SAVING DATA [3] GEO_NAME

Arizona Apache Cochise Coconino Gila Graham Greenlee La Paz Maricopa Mohave Navajo Pima Pinal Santa Cruz Yavapai Yuma Southern Arizona

2001 56,938 -2,385 -246 -358 -264 -455 -322 -175 46,190 3,556 -223 4,571 3,691 -429 4,203 -416 6,394

2002 70,105 -1,242 669 1,123 43 -365 -624 -228 43,800 5,092 1,811 9,143 6,145 -465 5,037 166 14,669

TOTAL DOMESTIC NET MIGRATION 2003 2004 2005 2006 62,986 90,588 132,164 133,670 5 -773 -443 126 1,384 872 1,542 183 -181 406 -122 -293 -403 -115 109 740 -542 -507 41 451 -392 -103 -56 120 94 114 259 21 37,578 57,680 86,497 69,386 5,495 7,388 7,648 6,738 995 881 917 1,022 6,598 8,492 12,152 13,523 7,089 8,475 12,292 30,320 -422 -198 181 173 4,722 6,344 7,998 9,094 966 1,632 3,149 2,066 14,681 18,663 29,301 46,836

2007 79,763 -482 23 -320 444 1,157 242 -64 33,748 2,662 814 7,850 27,959 -99 4,879 950 38,082

2008 55,468 -470 -295 -561 48 1,093 184 -234 25,310 -453 148 5,142 21,978 -241 2,734 1,085 28,946

2009 15,111 196 310 -185 -107 500 -118 -87 4,651 -761 -579 2,311 7,790 -92 602 680 11,381

chart-main-title Domestic Net Migration chart-axis-header 2001 2002 2003 Arizona 56,938 70,105 62,986 Apache -2,385 -1,242 5 Cochise -246 669 1,384 Coconino -358 1,123 -181 Gila -264 43 -403 Graham -455 -365 -542 Greenlee -322 -624 -392 La Paz -175 -228 94 Maricopa 46,190 43,800 37,578 Mohave 3,556 5,092 5,495 Navajo -223 1,811 995 Pima 4,571 9,143 6,598 Pinal 3,691 6,145 7,089 Santa Cruz -429 -465 -422 Yavapai 4,203 5,037 4,722 Yuma -416 166 966

2004 90,588 -773 872 406 -115 -507 -103 114 57,680 7,388 881 8,492 8,475 -198 6,344 1,632

2005 132,164 -443 1,542 -122 109 41 -56 259 86,497 7,648 917 12,152 12,292 181 7,998 3,149

2006 133,670 126 183 -293 740 451 120 21 69,386 6,738 1,022 13,523 30,320 173 9,094 2,066

2007 79,763 -482 23 -320 444 1,157 242 -64 33,748 2,662 814 7,850 27,959 -99 4,879 950

2008 55,468 -470 -295 -561 48 1,093 184 -234 25,310 -453 148 5,142 21,978 -241 2,734 1,085

2009 15,111 196 310 -185 -107 500 -118 -87 4,651 -761 -579 2,311 7,790 -92 602 680

[1] Guidelines for Reusing Data: Arizona Indicators uses Google Spreadsheets to store raw data in a consistently structured manner that makes it easy to use in a variety of applications. For the greatest user control we recommend that you save the entire workbook in Excel format before importing them into other applications. After a file or worksheet is saved locally --in any format-- you will notice three rows and one column that were hidden from view in Google Spreadsheets. These header rows and key field column provide options for user customization. Header rows of varying lengths are valuable as descriptive text for most database; geographic information system (GIS); and charting & graphing software. The key field --held in the first column-- is useful in most database & GIS software (the Federal Information Processing Standard code for locations is used where applicable). If you do not wish to use the header rows or key column simply remove them before importing into an application or presentation. [2] Guidelines for Reusing Data: Arizona Indicators uses Google Spreadsheets to store raw data in a consistently structured manner that makes it easy to use in a variety of applications. For the greatest user control we recommend that you save the entire workbook in Excel format before importing them into other applications. After a file or worksheet is saved locally --in any format-- you will notice three rows and one column that were hidden from view in Google Spreadsheets. These header rows and key field column provide options for user customization. Header rows of varying lengths are valuable as descriptive text for most database; geographic information system (GIS); and charting & graphing software. The key field --held in the first column-- is useful in most database & GIS software (the Federal Information Processing Standard code for locations is used where applicable). If you do not wish to use the header rows or key column simply remove them before importing into an application or presentation. [3] Guidelines for Reusing Data: Arizona Indicators uses Google Spreadsheets to store raw data in a consistently structured manner that makes it easy to use in a variety of applications. For the greatest user control we recommend that you save the entire workbook in Excel format before importing them into other applications. After a file or worksheet is saved locally --in any format-- you will notice three rows and one column that were hidden from view in Google Spreadsheets. These header rows and key field column provide options for user customization. Header rows of varying lengths are valuable as descriptive text for most database; geographic information system (GIS); and charting & graphing software. The key field --held in the first column-- is useful in most database & GIS software (the Federal Information Processing Standard code for locations is used where applicable). If you do not wish to use the header rows or key column simply remove them before importing into an application or presentation.