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Patients registered at a GP practicegp_sya_rgn.csv

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gss_code gss_name geography measure extract_date sex age_0 age_1 age_2 age_3 age_4 age_5 age_6 age_7 age_8 age_9 age_10 age_11 age_12 age_13 age_14 age_15 age_16 age_17 age_18 age_19 age_20 age_21 age_22 age_23 age_24 age_25 age_26 age_27 age_28 age_29 age_30 age_31 age_32 age_33 age_34 age_35 age_36 age_37 age_38 age_39 age_40 age_41 age_42 age_43 age_44 age_45 age_46 age_47 age_48 age_49 age_50 age_51 age_52 age_53 age_54 age_55 age_56 age_57 age_58 age_59 age_60 age_61 age_62 age_63 age_64 age_65 age_66 age_67 age_68 age_69 age_70 age_71 age_72 age_73 age_74 age_75 age_76 age_77 age_78 age_79 age_80 age_81 age_82 age_83 age_84 age_85 age_86 age_87 age_88 age_89 age_90 age_91 age_92 age_93 age_94 age_95
E12000001 North East RGN21 gp_count 2014-10-01 female 12613.4 14221.3 15111.9 15197.199999999999 15109.8 14817.2 15324.5 14601 14705.5 14260.5 14000.300000000001 13563.4 13211.1 13316 13694.4 14220.4 14709.8 15390.3 15398.6 17435.9 18548.5 18878.8 19260.6 19537.1 19404.2 17910.7 18473.4 18311.3 17999.9 17900.2 17274.3 17096.1 17049.3 17221.9 17438.5 16806.7 15215.6 14265.9 15315.5 15164.800000000001 15869.5 16494.5 17724.4 19168.7 18535.6 18735.2 18781 19465.2 19657.7 20115.9 20132.3 20119.8 19738.7 19275.1 18622.5 18626.1 18701.4 17885.8 17201.9 16370.5 16190.3 16299 15752.6 15799.8 15856.3 16224.6 16885.7 18727.3 15129.8 13425.9 13550.7 12178.5 11288.9 10638.1 11295.2 11222.2 11213.1 10713 9860.9 9586.2 8760.2 8269.9 8050 7676.1 7202.5 6263.3 5596.3 4858.1 4458.1 3918.7000000000003 3290.1 2780.1 2369.4 1997.9 1699.4 3022.2
E12000001 North East RGN21 gp_count 2015-01-01 female 12417.2 14130.6 14999.2 15140.9 15298.9 14839.4 15258 14801.6 14743.7 14363.1 14017.7 13744.5 13317.5 13231.3 13606.3 14172.1 14578.2 15160.9 16395.9 17648.1 18624.6 18956.1 19288.4 19651.7 19736.5 17992.8 18395.7 18396.4 18203.6 17818.9 17465.8 17013.8 17150.2 17091.8 17551.2 17158.7 15620.9 14289.6 15132.1 15182.1 15575.2 16388 17302.4 18931.6 18826.3 18584.8 18762.4 19320.4 19504.5 20086.5 20222.7 20176.7 19694.5 19374 18848 18480 18829.7 18089.6 17408.2 16570.8 16164.3 16302.4 15913.1 15634.1 15761.9 16177.3 16704.9 18156.7 16357.6 13062.3 14101.1 12302.7 11560 10610.6 11057.2 11154.6 11186.6 10755.6 9979 9593.1 8887.3 8134 8059.2 7574.5999999999995 7285.1 6216.8 5717.6 4730.1 4543.2 3837.1 3348.6 2714.7 2325.9 1998.3 1637.8 3165.4
E12000001 North East RGN21 gp_count 2015-04-01 female 12409.8 14111.1 14775.8 15319 15278.4 15007.4 14983.2 15140.6 14625.6 14422.4 14202 13976.7 13274.9 13146.8 13526.199999999999 14166.1 14385.5 15046.4 16220.5 17278 18601.4 18984.8 19074.7 19695.6 19757.7 18022.5 18149.9 18746.9 18031 17973.7 17615.3 17180.9 17012.7 17090 17382.2 17359.6 16024.3 14477.4 14655.6 15399.2 15467.2 16152.7 16926.6 18572.4 18975.4 18401.2 18976 18983.7 19602.3 19947.9 20099.1 20189.1 19840.2 19588.7 18897.1 18501.6 18682.4 18396.9 17414.4 16817.4 16262.8 16268.9 15893 15648 15665 16219 16322 17591.9 17670.9 13359.7 13898 12563.2 11672.4 10793.7 10738.3 11126.7 10997.8 10951.1 10014.5 9490.9 8865.5 8247.6 7940.7 7488.3 7248.4 6225.8 5664.1 4738.3 4395.7 3809.6 3293.2999999999997 2681.4 2284.7 1932.9 1517.3999999999999 3148.2
E12000001 North East RGN21 gp_count 2015-07-01 female 12412.6 14069 14643.5 15175.4 15350.6 15116.7 14834.7 15351.1 14638.8 14676.8 14170.199999999999 13985.300000000001 13478.6 13112.6 13445.9 13972.6 14338 14895.2 15908.6 16942.9 18340 19142.1 18768.9 19580.7 19694.2 18055.8 18093.5 18618 18125.7 18099.6 17820.6 17163.9 17218.5 17087.8 17164 17374.1 16565.4 14856.2 14321.4 15410.6 15422.5 15868.5 16760.8 18113.8 19168.4 18417.399999999998 18731 18974.3 19547.6 19780.8 20107.2 20064.100000000002 20045.4 19646.1 19026.5 18565.4 18644.5 18552.9 17606.399999999998 16931.2 16263 16218.7 16068.4 15606.4 15647.8 16089.2 16175.3 17096.7 18459.8 13929.9 13399.5 13083.2 11827.3 11062.300000000001 10415.6 11088.8 10933.6 10881.6 10192.4 9367.1 9127 8274.6 7849.5 7587.2 7118.9 6485.4 5610.5 4869.1 4293.2 3803.2 3301.8 2748.4 2224.7 1915.9 1513.4 3269.2