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Modelled population backseries
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Download this filegss_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 |
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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 | 23.24484339534055 | 28.942112296687828 | 29.315064087838987 | 47.12799044270719 | 34.06040778570391 | 27.472496791551336 | 29.68164879735391 | 48.11499005890341 | 76.63308007103487 | 96.40932122934588 | -1.4985402835366326 | 5.530998777518544 | 2.3189066810275296 | 21.733016001068414 | 16.84268101799637 | 4.307197617750268 | -23.280976142328623 | 8.925685662572171 | 60.56605986323313 | 17.736892874520528 | 24.743383678877183 | 23.411113519169284 | 26.996157406811456 | 25.394974441638773 | 17.21772676770754 | 23.16529917380107 | 52.962624939682534 | 39.18930439633124 | 16.06702020780174 | 78.67242835482536 | 14953 | 14856 | 14317 | 13945 | 13622 | 13830 | 13765 | 13228 | 12915 | 12314 | 12091 |
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 | 30.817320029310338 | 27.716504511326114 | 35.538721687605815 | 39.47518356007132 | 56.8847396225482 | 45.14485023840171 | 44.68861700974422 | 35.289040597124064 | 62.28717267449472 | 93.1285220099148 | -8.259290992905955 | 5.417345368440241 | -7.401584597106524 | 4.294157037151766 | 34.046705213606565 | 19.27901971609413 | 29.771904766996432 | -33.81735716534902 | 22.121223572659343 | 71.17390245925488 | 39.07661102221629 | 22.299159142885873 | 42.940306284712335 | 35.18102652291955 | 22.83803440894164 | 25.865830522307576 | 14.916712242747789 | 69.1063977624731 | 40.16594910183537 | 21.954619550659928 | 14725 | 14941 | 14846 | 14343 | 13999 | 13697 | 13947 | 13863 | 13299 | 12994 | 12454 |