Back to dataset

Modelled population backseriesmodelled_backseries.csv

You're previewing the first 4 rows of this file.

Download this file
gss_code gss_name geography sex age births_2012 births_2013 births_2014 births_2015 births_2016 births_2017 births_2018 births_2019 births_2020 births_2021 deaths_2012 deaths_2013 deaths_2014 deaths_2015 deaths_2016 deaths_2017 deaths_2018 deaths_2019 deaths_2020 deaths_2021 internal_in_2012 internal_in_2013 internal_in_2014 internal_in_2015 internal_in_2016 internal_in_2017 internal_in_2018 internal_in_2019 internal_in_2020 internal_in_2021 internal_net_2012 internal_net_2013 internal_net_2014 internal_net_2015 internal_net_2016 internal_net_2017 internal_net_2018 internal_net_2019 internal_net_2020 internal_net_2021 internal_out_2012 internal_out_2013 internal_out_2014 internal_out_2015 internal_out_2016 internal_out_2017 internal_out_2018 internal_out_2019 internal_out_2020 internal_out_2021 international_in_2012 international_in_2013 international_in_2014 international_in_2015 international_in_2016 international_in_2017 international_in_2018 international_in_2019 international_in_2020 international_in_2021 international_net_2012 international_net_2013 international_net_2014 international_net_2015 international_net_2016 international_net_2017 international_net_2018 international_net_2019 international_net_2020 international_net_2021 international_out_2012 international_out_2013 international_out_2014 international_out_2015 international_out_2016 international_out_2017 international_out_2018 international_out_2019 international_out_2020 international_out_2021 population_2011 population_2012 population_2013 population_2014 population_2015 population_2016 population_2017 population_2018 population_2019 population_2020 population_2021
E12000001 North East RGN21 female 0 14861 14335 13947 13620 13815 13699 13193 12866 12251 12076 32 31 34 34 35 34 23 34 33 27 157.5 144.9 141.2 123.2 139.7 216.1 185.5 175.8 102.8 162.6 29 7 30 13 35 95 81 75 36 24 129.1 137.9 111.2 110.2 104.7 121.1 104.5 100.8 66.8 143.7 23 26 30 46 35 26 29 46 74 93 2 8 5 23 22 6 -20 7 61 19 21 18 25 23 13 20 49 39 13 74 14953 14860 14319 13948 13622 13837 13766 13231 12914 12315 12092
E12000001 North East RGN21 female 1 0 0 0 0 0 0 0 0 0 0 6 9 8 6 13 4 9 7 5 6 240.9 251.3 258.3 267.8 227.6 292.2 253.4 288.6 224 389.5 2 -8 39 56 56 100 77 112 61 76 238.2 259.3 219.3 211.8 171.6 192.2 176.4 176.6 163 313.4 30 27 36 40 54 44 43 32 62 89 -9 9 -3 8 33 17 30 -34 25 69 39 18 39 32 21 27 13 66 37 20 14725 14940 14852 14347 14006 13698 13950 13864 13302 12995 12454
E12000001 North East RGN21 female 2 0 0 0 0 0 0 0 0 0 0 2 3 3 5 1 2 4 3 1 3 236.2 244.5 269.8 242.7 223.5 234.9 276.9 268.6 190.2 400.9 9 5 65 51 43 68 107 62 35 84 228.2 239.5 204.8 191.7 180.5 166.9 169.9 206.6 155.2 317.4 32 32 27 32 33 47 46 40 35 47 7 5 -6 -6 13 20 33 18 -23 -13 25 27 33 38 20 27 13 22 58 60 14394 14739 14947 14908 14387 14061 13784 14086 13941 13313 13063
E12000001 North East RGN21 female 3 0 0 0 0 0 0 0 0 0 0 1 3 1 2 1 2 2 1 4 0 200.1 257.9 259.1 226.9 238.6 243.1 218.4 253.3 227.4 395 -9 50 48 37 49 53 60 48 87 119 208.7 207.9 211.1 189.9 189.6 190.1 158.4 205.3 140.4 277.3 35 36 37 32 44 35 53 59 49 29 15 17 -7 4 20 4 38 44 31 -65 20 19 44 28 24 31 15 15 18 94 14770 14399 14803 14987 14947 14455 14116 13880 14177 14055 13367