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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 RGN23 gp_count 2014-10-01 female 12621.6 14230.2 15121.2 15206.2 15119.2 14827 15333.1 14609 14712.9 14267.1 14007.7 13570.6 13216.6 13323.6 13701.1 14227.2 14715.3 15395.3 15411.8 17394.3 18481.5 18827.6 19224.2 19500.1 19368.9 17902.1 18469 18309.7 18004.3 17907.4 17281 17104.4 17058.6 17231.4 17448.7 16816.2 15224.9 14275.1 15323.7 15172.9 15878 16502.8 17732.7 19176.9 18542.7 18743.6 18788 19472.6 19663.9 20122.3 20138.7 20123.5 19742.6 19279.5 18625.6 18627.9 18702.3 17888 17203.5 16371.9 16192 16300.6 15754.2 15801.6 15858.8 16226.8 16887.6 18728.7 15132.5 13428.7 13553 12182.5 11291.6 10639.6 11296.8 11223.2 11213.6 10713.2 9861.5 9586.2 8760.5 8270.6 8050.1 7676.1 7202.4 6263.5 5597.3 4859.1 4459 3919.7 3291.2 2780.8 2370.1 1998.5 1700.4 3023.1
E12000001 North East RGN23 gp_count 2015-01-01 female 12425.7 14138.9 15008.4 15150.3 15307.9 14849.5 15267.1 14810 14751.4 14369.9 14025 13752.1 13323.8 13238.6 13613.4 14179.2 14584.6 15165.5 16377 17600.5 18563.4 18905.6 19249.3 19614.3 19702.8 17985.9 18391.8 18395.2 18207.1 17827.3 17473.5 17022.6 17160.3 17101.8 17562 17167.8 15630.7 14300 15140.5 15190.9 15584.8 16395.9 17311.6 18940.2 18834.4 18592.6 18771.2 19327 19512 20092.7 20229.9 20180.9 19698.8 19378.3 18851.8 18482.6 18831.5 18091.5 17410.3 16572.4 16166.8 16304 15915.4 15636.1 15764.5 16179.5 16707.5 18158.9 16360.5 13065.1 14103.8 12306.2 11563.3 10612.7 11058.8 11156.1 11188.1 10755.4 9979.9 9593.2 8888.1 8135.3 8059.6 7575 7285 6217.4 5718.3 4731.5 4544 3837.9 3349.7 2715.6 2326.8 1999 1638.5 3166.6
E12000001 North East RGN23 gp_count 2015-04-01 female 12419.2 14119.5 14784.6 15328.1 15287.2 15017.2 14992.3 15149.1 14633.6 14429.5 14208.9 13984.3 13281.9 13153.5 13533.2 14173 14391.9 15051.3 16208.7 17233.7 18539.9 18929.1 19036.1 19656.7 19726.1 18016 18145.6 18744.7 18034.9 17980.6 17623.9 17188.8 17022.5 17100.3 17392.3 17369.3 16034.2 14487.4 14664.5 15408.3 15475.8 16160.6 16935.8 18581.3 18983.4 18409 18984.1 18990.9 19609 19954.8 20106.1 20193.5 19845.1 19592.6 18901 18504.4 18683.7 18399 17417 16818.8 16265.1 16270.8 15895.1 15649.7 15668.2 16221 16324.3 17594 17673.4 13362 13899.9 12567.2 11675.8 10795.7 10740.2 11128.2 10999 10950.7 10015.4 9491.4 8865.9 8248.7 7940.9 7488.9 7248 6226.2 5665 4739.8 4396.6 3810.4 3294 2682.5 2285.1 1933.6 1518.1 3149.1
E12000001 North East RGN23 gp_count 2015-07-01 female 12421.6 14077.8 14652.1 15184.9 15359.3 15125.9 14844 15359.8 14646.3 14683.7 14177.1 13992.5 13485.6 13118.9 13453.4 13979 14345.2 14899.4 15905.6 16903.6 18281.1 19078.7 18731 19543.4 19662.9 18049.6 18088.2 18615.8 18127.7 18106.2 17829.1 17172 17228 17096.9 17174.4 17384.5 16575.1 14865.6 14330.8 15419.7 15431.2 15876.8 16769.7 18122.8 19175.9 18425 18739.5 18981.3 19554.6 19787.1 20113.6 20069.6 20049.9 19649.5 19030.8 18567.7 18646.2 18554.8 17608.8 16933.2 16264.6 16220.1 16070.6 15607.7 15650.3 16091.2 16177.8 17098 18462 13932.6 13402 13086.3 11831.1 11065.1 10417.3 11090.1 10934.8 10881.4 10192.9 9367.2 9127.1 8275.9 7850.5 7587.6 7118.5 6485.5 5611.3 4870.2 4294.3 3804 3302.6 2749.4 2225.6 1916.3 1514.1 3270.4