AXIS-VERSION="2006"; CREATION-DATE="20231022"; CHARSET="ANSI"; SUBJECT-AREA="Salamanca"; SUBJECT-CODE="37"; MATRIX="2mun37"; TITLE="Buildings mainly or exclusively for housing and no. of real estate properties by municipality (with more than 2,000 inhabitants), state of the building and year of construction (aggregate)"; CONTENTS="Buildings mainly or exclusively for housing and no. of real estate properties"; CODEPAGE="iso-8859-15"; DESCRIPTION=""; COPYRIGHT=YES; DECIMALS=0; SHOWDECIMALS=0; STUB="State of the building","Municipality (with more than 2,000 inhabitants)"; HEADING="Year of construction (aggregate)","Type of indicator"; VALUES("State of the building")="Total","In ruins","Poor","Deficient","Good"; VALUES("Municipality (with more than 2,000 inhabitants)")="37008 Alba de Tormes","37046 Béjar","37067 Cabrerizos", "37085 Carbajosa de la Sagrada","37107 Ciudad Rodrigo","37156 Guijuelo", "37246 Peñaranda de Bracamonte","37274 Salamanca","37294 Santa Marta de Tormes", "37322 Terradillos","37354 Villamayor","37362 Villares de la Reina", "37376 Vitigudino"; VALUES("Year of construction (aggregate)")="Total","Before 1900","1900 to 1920","1921 to 1940","1941 to 1950","1951 to 1960", "1961 to 1970","1971 to 1980","1981 to 1990","1991 to 2001","2002 to 2011"; VALUES("Type of indicator")="buildings","real estate properties"; CODES("Municipality (with more than 2,000 inhabitants)")="37008","37046","37067","37085","37107","37156","37246","37274","37294","37322","37354", "37362","37376"; MAP("Municipality (with more than 2,000 inhabitants)")="muni0109_esp"; SOURCE="National Statistics Institute"; UNITS="buildings and real estate proprerties"; DATA=1463.0 3643.0 63.0 108.0 64.0 85.0 68.0 87.0 63.0 75.0 123.0 176.0 117.0 219.0 123.0 395.0 115.0 538.0 278.0 720.0 449.0 1240.0 2017.0 9929.0 238.0 596.0 271.0 543.0 165.0 442.0 209.0 623.0 235.0 966.0 235.0 1939.0 136.0 1117.0 183.0 1238.0 128.0 706.0 217.0 1759.0 1470.0 1680.0 47.0 48.0 13.0 24.0 15.0 19.0 27.0 33.0 41.0 57.0 23.0 24.0 100.0 118.0 151.0 179.0 447.0 508.0 606.0 670.0 1315.0 2999.0 ".." ".." ".." ".." 1.0 1.0 2.0 2.0 8.0 10.0 11.0 14.0 35.0 41.0 92.0 142.0 306.0 920.0 860.0 1869.0 3975.0 9566.0 138.0 207.0 181.0 263.0 175.0 232.0 127.0 173.0 548.0 782.0 575.0 1252.0 740.0 2077.0 624.0 2170.0 392.0 1119.0 475.0 1291.0 1307.0 3343.0 17.0 18.0 53.0 58.0 60.0 75.0 111.0 121.0 221.0 296.0 199.0 328.0 205.0 635.0 135.0 572.0 156.0 641.0 150.0 599.0 1438.0 4290.0 129.0 164.0 34.0 51.0 26.0 47.0 250.0 356.0 148.0 438.0 95.0 282.0 119.0 581.0 108.0 558.0 251.0 786.0 278.0 1027.0 10315.0 97631.0 184.0 381.0 67.0 187.0 200.0 526.0 658.0 2072.0 1420.0 7157.0 1455.0 18746.0 1503.0 27432.0 911.0 11629.0 1808.0 13152.0 2109.0 16349.0 2252.0 7234.0 4.0 4.0 3.0 3.0 ".." ".." 1.0 1.0 9.0 10.0 42.0 146.0 216.0 848.0 488.0 1525.0 897.0 2151.0 592.0 2546.0 503.0 2046.0 15.0 15.0 17.0 17.0 9.0 9.0 2.0 2.0 26.0 110.0 8.0 53.0 50.0 492.0 109.0 232.0 113.0 464.0 154.0 652.0 2051.0 3445.0 31.0 31.0 3.0 3.0 4.0 4.0 6.0 6.0 21.0 21.0 76.0 81.0 120.0 206.0 232.0 442.0 582.0 1111.0 976.0 1540.0 1362.0 3068.0 33.0 36.0 15.0 16.0 36.0 40.0 21.0 22.0 15.0 16.0 25.0 34.0 93.0 124.0 380.0 518.0 259.0 585.0 485.0 1677.0 1022.0 1819.0 45.0 52.0 14.0 24.0 25.0 27.0 27.0 43.0 93.0 137.0 134.0 189.0 196.0 522.0 139.0 305.0 89.0 139.0 260.0 381.0 13.0 14.0 5.0 6.0 3.0 3.0 4.0 4.0 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 34.0 68.0 12.0 28.0 19.0 33.0 2.0 4.0 1.0 3.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 4.0 17.0 2.0 2.0 ".." ".." ".." ".." 1.0 1.0 1.0 14.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 16.0 22.0 3.0 7.0 1.0 2.0 2.0 2.0 3.0 4.0 1.0 1.0 2.0 2.0 4.0 4.0 ".." ".." ".." ".." ".." ".." 5.0 5.0 ".." ".." ".." ".." 1.0 1.0 ".." ".." 3.0 3.0 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." 2.0 2.0 1.0 1.0 ".." ".." ".." ".." 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 39.0 265.0 11.0 32.0 2.0 2.0 7.0 82.0 10.0 68.0 3.0 3.0 1.0 16.0 4.0 18.0 1.0 44.0 ".." ".." ".." ".." 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 1.0 1.0 ".." ".." ".." ".." ".." ".." 1.0 1.0 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 3.0 3.0 2.0 2.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 1.0 1.0 ".." ".." ".." ".." ".." ".." 16.0 19.0 8.0 8.0 3.0 4.0 5.0 7.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 3.0 3.0 3.0 3.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 28.0 43.0 4.0 4.0 8.0 9.0 8.0 12.0 3.0 3.0 3.0 13.0 2.0 2.0 ".." ".." ".." ".." ".." ".." ".." ".." 131.0 337.0 53.0 154.0 43.0 88.0 15.0 51.0 13.0 32.0 4.0 8.0 2.0 3.0 1.0 1.0 ".." ".." ".." ".." ".." ".." 8.0 8.0 4.0 4.0 1.0 1.0 ".." ".." 2.0 2.0 ".." ".." ".." ".." ".." ".." 1.0 1.0 ".." ".." ".." ".." 9.0 14.0 ".." ".." ".." ".." ".." ".." 1.0 1.0 1.0 2.0 1.0 1.0 5.0 5.0 ".." ".." 1.0 5.0 ".." ".." 49.0 52.0 5.0 6.0 6.0 7.0 1.0 1.0 9.0 9.0 12.0 12.0 8.0 9.0 4.0 4.0 4.0 4.0 ".." ".." ".." ".." 210.0 301.0 4.0 4.0 21.0 24.0 9.0 16.0 29.0 30.0 65.0 81.0 48.0 78.0 22.0 37.0 10.0 29.0 2.0 2.0 ".." ".." 27.0 43.0 10.0 12.0 1.0 1.0 2.0 2.0 4.0 13.0 6.0 10.0 2.0 3.0 2.0 2.0 ".." ".." ".." ".." ".." ".." 230.0 670.0 13.0 19.0 4.0 5.0 30.0 48.0 49.0 80.0 93.0 350.0 19.0 56.0 18.0 87.0 1.0 8.0 3.0 17.0 ".." ".." 12.0 40.0 ".." ".." 1.0 1.0 ".." ".." ".." ".." 2.0 2.0 1.0 1.0 4.0 32.0 1.0 1.0 3.0 3.0 ".." ".." 9.0 10.0 1.0 1.0 1.0 1.0 ".." ".." ".." ".." 6.0 7.0 ".." ".." 1.0 1.0 ".." ".." ".." ".." ".." ".." 5.0 5.0 4.0 4.0 ".." ".." ".." ".." ".." ".." ".." ".." 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." 1.0 1.0 1.0 1.0 ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." ".." 25.0 34.0 5.0 5.0 ".." ".." 4.0 4.0 5.0 14.0 5.0 5.0 4.0 4.0 2.0 2.0 ".." ".." ".." ".." ".." ".." 72.0 86.0 8.0 8.0 12.0 14.0 20.0 24.0 9.0 9.0 12.0 13.0 4.0 7.0 2.0 3.0 ".." ".." ".." ".." 5.0 8.0 504.0 1507.0 120.0 303.0 137.0 288.0 80.0 216.0 80.0 185.0 51.0 241.0 29.0 240.0 ".." ".." 1.0 1.0 6.0 33.0 ".." ".." 36.0 43.0 10.0 10.0 2.0 2.0 4.0 5.0 7.0 12.0 2.0 2.0 2.0 2.0 2.0 2.0 1.0 1.0 4.0 5.0 2.0 2.0 33.0 44.0 ".." ".." ".." ".." ".." ".." 1.0 1.0 5.0 6.0 6.0 8.0 10.0 11.0 8.0 15.0 3.0 3.0 ".." ".." 310.0 419.0 29.0 38.0 40.0 49.0 34.0 41.0 27.0 33.0 43.0 54.0 43.0 68.0 80.0 115.0 11.0 16.0 3.0 5.0 ".." ".." 91.0 119.0 5.0 5.0 9.0 9.0 14.0 14.0 21.0 24.0 22.0 33.0 10.0 12.0 7.0 8.0 3.0 14.0 ".." ".." ".." ".." 102.0 164.0 12.0 12.0 19.0 28.0 7.0 10.0 24.0 30.0 19.0 42.0 7.0 11.0 6.0 9.0 6.0 20.0 2.0 2.0 ".." ".." 854.0 4743.0 54.0 100.0 22.0 49.0 64.0 151.0 157.0 398.0 195.0 988.0 177.0 1569.0 106.0 931.0 12.0 48.0 32.0 274.0 35.0 235.0 32.0 74.0 1.0 1.0 ".." ".." ".." ".." ".." ".." 3.0 4.0 5.0 9.0 18.0 50.0 3.0 8.0 2.0 2.0 ".." ".." 27.0 28.0 3.0 3.0 5.0 5.0 2.0 2.0 1.0 1.0 7.0 8.0 2.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 3.0 3.0 53.0 54.0 11.0 11.0 2.0 2.0 2.0 2.0 2.0 2.0 9.0 9.0 12.0 12.0 9.0 10.0 6.0 6.0 ".." ".." ".." ".." 43.0 45.0 13.0 14.0 9.0 9.0 11.0 12.0 3.0 3.0 2.0 2.0 4.0 4.0 1.0 1.0 ".." ".." ".." ".." ".." ".." 52.0 60.0 14.0 14.0 ".." ".." ".." ".." 5.0 5.0 10.0 13.0 11.0 14.0 7.0 8.0 4.0 4.0 1.0 2.0 ".." ".." 1350.0 3500.0 46.0 90.0 41.0 59.0 36.0 47.0 50.0 62.0 108.0 150.0 111.0 210.0 121.0 392.0 115.0 538.0 278.0 720.0 444.0 1232.0 1348.0 8017.0 53.0 111.0 72.0 134.0 68.0 171.0 115.0 403.0 180.0 717.0 204.0 1696.0 135.0 1116.0 182.0 1237.0 122.0 673.0 217.0 1759.0 1422.0 1612.0 31.0 32.0 10.0 21.0 11.0 14.0 17.0 18.0 38.0 41.0 21.0 22.0 98.0 116.0 149.0 177.0 443.0 503.0 604.0 668.0 1273.0 2941.0 ".." ".." ".." ".." 1.0 1.0 ".." ".." 2.0 2.0 4.0 5.0 20.0 25.0 84.0 127.0 302.0 912.0 860.0 1869.0 3600.0 9073.0 101.0 156.0 134.0 205.0 138.0 188.0 88.0 127.0 492.0 715.0 522.0 1173.0 652.0 1954.0 609.0 2150.0 389.0 1114.0 475.0 1291.0 1001.0 2918.0 8.0 9.0 23.0 25.0 36.0 44.0 61.0 67.0 131.0 179.0 140.0 237.0 176.0 590.0 122.0 529.0 154.0 639.0 150.0 599.0 1307.0 4081.0 106.0 139.0 14.0 22.0 17.0 35.0 221.0 312.0 123.0 386.0 86.0 268.0 111.0 570.0 102.0 538.0 249.0 784.0 278.0 1027.0 9192.0 91953.0 106.0 230.0 39.0 131.0 99.0 245.0 442.0 1526.0 1129.0 5816.0 1258.0 17105.0 1375.0 26396.0 897.0 11529.0 1773.0 12861.0 2074.0 16114.0 2207.0 7119.0 3.0 3.0 2.0 2.0 ".." ".." 1.0 1.0 4.0 4.0 36.0 136.0 193.0 765.0 484.0 1516.0 892.0 2146.0 592.0 2546.0 466.0 2007.0 10.0 10.0 11.0 11.0 7.0 7.0 1.0 1.0 13.0 95.0 6.0 51.0 47.0 489.0 108.0 231.0 112.0 463.0 151.0 649.0 1990.0 3383.0 14.0 14.0 1.0 1.0 2.0 2.0 4.0 4.0 12.0 12.0 63.0 68.0 110.0 195.0 226.0 436.0 582.0 1111.0 976.0 1540.0 1302.0 3003.0 11.0 13.0 3.0 3.0 20.0 21.0 18.0 19.0 13.0 14.0 21.0 30.0 92.0 123.0 380.0 518.0 259.0 585.0 485.0 1677.0 942.0 1722.0 23.0 30.0 14.0 24.0 21.0 23.0 17.0 24.0 78.0 119.0 119.0 171.0 187.0 512.0 135.0 301.0 88.0 137.0 260.0 381.0;