Percent Change in Population, 2000-08
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The table is sorted in ascending order by FIPS code . Click a column title to sort by that column; click again to reverse the sort.
FIPS 1 County name RUC code 2 Pop. 1990 Pop. 2000 Pop. 2008 Change 1990-2000 Change 2000-08 36001 Albany County 2 292,812 294,565 298,130 0.6% 1.2% 36003 Allegany County 7 50,470 49,927 49,649 -1.1% -0.6% 36005 Bronx County 1 1,203,789 1,332,650 1,391,903 10.7% 4.4% 36007 Broome County 2 212,160 200,536 195,018 -5.5% -2.8% 36009 Cattaraugus County 4 84,234 83,955 79,688 -0.3% -5.1% 36011 Cayuga County 4 82,313 81,961 79,823 -0.4% -2.6% 36013 Chautauqua County 4 141,895 139,747 133,789 -1.5% -4.3% 36015 Chemung County 3 95,195 91,070 87,813 -4.3% -3.6% 36017 Chenango County 6 51,768 51,398 50,898 -0.7% -1.0% 36019 Clinton County 5 85,969 79,894 81,947 -7.1% 2.6% 36021 Columbia County 6 62,982 63,094 62,006 0.2% -1.7% 36023 Cortland County 4 48,963 48,599 48,302 -0.7% -0.6% 36025 Delaware County 6 47,352 48,057 46,085 1.5% -4.1% 36027 Dutchess County 2 259,462 280,150 292,878 8.0% 4.5% 36029 Erie County 1 968,584 950,265 909,845 -1.9% -4.3% 36031 Essex County 6 37,152 38,849 37,826 4.6% -2.6% 36033 Franklin County 5 46,540 51,134 50,521 9.9% -1.2% 36035 Fulton County 4 54,191 55,077 55,024 1.6% -0.1% 36037 Genesee County 4 60,060 60,370 57,821 0.5% -4.2% 36039 Greene County 6 44,739 48,195 48,992 7.7% 1.7% 36041 Hamilton County 8 5,279 5,377 5,021 1.9% -6.6% 36043 Herkimer County 2 65,809 64,437 62,200 -2.1% -3.5% 36045 Jefferson County 4 110,943 111,738 118,046 0.7% 5.6% 36047 Kings County 1 2,300,664 2,465,525 2,556,598 7.2% 3.7% 36049 Lewis County 6 26,796 26,944 26,176 0.6% -2.9% 36051 Livingston County 1 62,372 64,330 63,154 3.1% -1.8% 36053 Madison County 2 69,166 69,441 69,766 0.4% 0.5% 36055 Monroe County 1 713,968 735,343 732,762 3.0% -0.4% 36057 Montgomery County 4 51,981 49,708 48,679 -4.4% -2.1% 36059 Nassau County 1 1,287,873 1,334,542 1,351,625 3.6% 1.3% 36061 New York County 1 1,487,536 1,537,372 1,634,795 3.4% 6.3% 36063 Niagara County 1 220,756 219,844 214,464 -0.4% -2.4% 36065 Oneida County 2 250,836 235,459 231,590 -6.1% -1.6% 36067 Onondaga County 2 468,973 458,336 452,633 -2.3% -1.2% 36069 Ontario County 1 95,101 100,224 104,475 5.4% 4.2% 36071 Orange County 2 307,571 341,365 379,647 11.0% 11.2% 36073 Orleans County 1 41,846 44,173 42,135 5.6% -4.6% 36075 Oswego County 2 121,785 122,377 121,395 0.5% -0.8% 36077 Otsego County 6 60,390 61,676 61,962 2.1% 0.5% 36079 Putnam County 1 83,941 95,745 99,244 14.1% 3.7% 36081 Queens County 1 1,951,598 2,229,379 2,293,007 14.2% 2.9% 36083 Rensselaer County 2 154,429 152,540 155,261 -1.2% 1.8% 36085 Richmond County 1 378,977 443,728 487,407 17.1% 9.8% 36087 Rockland County 1 265,475 286,755 298,545 8.0% 4.1% 36089 St. Lawrence County 5 111,974 111,919 109,701 -0.0% -2.0% 36091 Saratoga County 2 181,276 200,631 217,191 10.7% 8.3% 36093 Schenectady County 2 149,285 146,555 151,427 -1.8% 3.3% 36095 Schoharie County 2 31,840 31,582 31,910 -0.8% 1.0% 36097 Schuyler County 6 18,662 19,222 18,888 3.0% -1.7% 36099 Seneca County 6 33,683 33,342 34,086 -1.0% 2.2% 36101 Steuben County 4 99,088 98,728 96,573 -0.4% -2.2% 36103 Suffolk County 1 1,321,339 1,419,371 1,512,224 7.4% 6.5% 36105 Sullivan County 4 69,277 73,962 76,189 6.8% 3.0% 36107 Tioga County 2 52,337 51,787 50,171 -1.1% -3.1% 36109 Tompkins County 3 94,097 96,502 101,136 2.6% 4.8% 36111 Ulster County 3 165,380 177,749 181,670 7.5% 2.2% 36113 Warren County 3 59,209 63,303 65,971 6.9% 4.2% 36115 Washington County 3 59,330 61,042 62,804 2.9% 2.9% 36117 Wayne County 1 89,123 93,766 91,564 5.2% -2.3% 36119 Westchester County 1 874,866 923,459 953,943 5.6% 3.3% 36121 Wyoming County 6 42,507 43,424 41,652 2.2% -4.1% 36123 Yates County 6 22,810 24,621 24,652 7.9% 0.1%
Source: U.S. Census Bureau , 1990 and 2000 Censuses of Population (corrected), and 2008 county estimate files.
1) The FIPS codes uniquely identify each county and are part of the Federal Information Processing Standards (FIPS) developed by the National Institute of Standards and Technology (NIST), U.S. Department of Commerce. For more information, see the NIST FIPS publication page.
2) The 2003 rural-urban continuum codes classify metropolitan counties (codes 1 through 3) by size of the Metropolitan Statistical Area (MSA), and nonmetropolitan counties (codes 4 through 9) by degree of urbanization and proximity to metro areas. See rural-urban continuum codes for precise definitions of each code.