Others titles
- Population By Age For The Local Authorities In The UK Mid 2016
- UK Population Estimates For The Local Authorities Mid 2016
- Estimates and Population By Age for The Local Authorities Of UK Mid 2016
Keywords
- Population of UK 2016
- UK Cities by Population
- Population of England 2016
- UK Population Statistics
- England Population
- Population 2016
- UK Demographics
- UK Population
- Population Counter
Population Estimates By Age UK Mid 2016
This dataset contains information on estimates of the usual resident population in the UK as of 30 June 2016 by age and gender; the data is from the local authorities.
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Description
These are the official population estimates for the UK as of June 30, 2016 and therefore reflect the size of UK population around the time of the European referendum (June 23, 2016). They are based on the census and are updated annually to account for population change during the period from 1st July 2015 to 30th June 2016. The two main contributors to population change are natural change (births minus deaths) and net migration (the difference between long-term moves into and out of UK or local areas).
About this Dataset
Data Info
Date Created | 2017-06-22 |
---|---|
Last Modified | 2017-06-22 |
Version | 2017-06-22 |
Update Frequency |
Annual |
Temporal Coverage |
2016 |
Spatial Coverage |
United Kingdom |
Source | John Snow Labs; Office for National Statistics; |
Source License URL | |
Source License Requirements |
NA |
Source Citation |
NA |
Keywords | Population of UK 2016, UK Cities by Population, Population of England 2016, UK Population Statistics, England Population, Population 2016, UK Demographics, UK Population, Population Counter |
Other Titles | Population By Age For The Local Authorities In The UK Mid 2016, UK Population Estimates For The Local Authorities Mid 2016, Estimates and Population By Age for The Local Authorities Of UK Mid 2016 |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
Area_Code | Geographic area code | string | - |
Country_Region_And_County_Name | Name of the Country, Region and County | string | - |
All_Ages | Total population of all ages | integer | level : Ratio |
Age_0 | Number of population for age 0 year | integer | level : Ratio |
Age_1 | Number of population for age 1 year | integer | level : Ratio |
Age_2 | Number of population for age 2 years | integer | level : Ratio |
Age_3 | Number of population for age 3 years | integer | level : Ratio |
Age_4 | Number of population for age 4 years | integer | level : Ratio |
Age_5 | Number of population for age 5 years | integer | level : Ratio |
Age_6 | Number of population for age 6 years | integer | level : Ratio |
Age_7 | Number of population for age 7 years | integer | level : Ratio |
Age_8 | Number of population for age 8 years | integer | level : Ratio |
Age_9 | Number of population for age 9 years | integer | level : Ratio |
Age_10 | Number of population for age 10 years | integer | level : Ratio |
Age_11 | Number of population for age 11 years | integer | level : Ratio |
Age_12 | Number of population for age 12 years | integer | level : Ratio |
Age_13 | Number of population for age 13 years | integer | level : Ratio |
Age_14 | Number of population for age 14 years | integer | level : Ratio |
Age_15 | Number of population for age 15 years | integer | level : Ratio |
Age_16 | Number of population for age 16 years | integer | level : Ratio |
Age_17 | Number of population for age 17 years | integer | level : Ratio |
Age_18 | Number of population for age 18 years | integer | level : Ratio |
Age_19 | Number of population for age 19 years | integer | level : Ratio |
Age_20 | Number of population for age 20 years | integer | level : Ratio |
Age_21 | Number of population for age 21 years | integer | level : Ratio |
Age_22 | Number of population for age 22 years | integer | level : Ratio |
Age_23 | Number of population for age 23 years | integer | level : Ratio |
Age_24 | Number of population for age 24 years | integer | level : Ratio |
Age_25 | Number of population for age 25 years | integer | level : Ratio |
Age_26 | Number of population for age 26 years | integer | level : Ratio |
Age_27 | Number of population for age 27 years | integer | level : Ratio |
Age_28 | Number of population for age 28 years | integer | level : Ratio |
Age_29 | Number of population for age 29 years | integer | level : Ratio |
Age_30 | Number of population for age 30 years | integer | level : Ratio |
Age_31 | Number of population for age 31 years | integer | level : Ratio |
Age_32 | Number of population for age 32 years | integer | level : Ratio |
Age_33 | Number of population for age 33 years | integer | level : Ratio |
Age_34 | Number of population for age 34 years | integer | level : Ratio |
Age_35 | Number of population for age 35 years | integer | level : Ratio |
Age_36 | Number of population for age 36 years | integer | level : Ratio |
Age_37 | Number of population for age 37 years | integer | level : Ratio |
Age_38 | Number of population for age 38 years | integer | level : Ratio |
Age_39 | Number of population for age 39 years | integer | level : Ratio |
Age_40 | Number of population for age 40 years | integer | level : Ratio |
Age_41 | Number of population for age 41 years | integer | level : Ratio |
Age_42 | Number of population for age 42 years | integer | level : Ratio |
Age_43 | Number of population for age 43 years | integer | level : Ratio |
Age_44 | Number of population for age 44 years | integer | level : Ratio |
Age_45 | Number of population for age 45 years | integer | level : Ratio |
Age_46 | Number of population for age 46 years | integer | level : Ratio |
Age_47 | Number of population for age 47 years | integer | level : Ratio |
Age_48 | Number of population for age 48 years | integer | level : Ratio |
Age_49 | Number of population for age 49 years | integer | level : Ratio |
Age_50 | Number of population for age 50 years | integer | level : Ratio |
Age_51 | Number of population for age 51 years | integer | level : Ratio |
Age_52 | Number of population for age 52 years | integer | level : Ratio |
Age_53 | Number of population for age 53 years | integer | level : Ratio |
Age_54 | Number of population for age 54 years | integer | level : Ratio |
Age_55 | Number of population for age 55 years | integer | level : Ratio |
Age_56 | Number of population for age 56 years | integer | level : Ratio |
Age_57 | Number of population for age 57 years | integer | level : Ratio |
Age_58 | Number of population for age 58 years | integer | level : Ratio |
Age_59 | Number of population for age 59 years | integer | level : Ratio |
Age_60 | Number of population for age 60 years | integer | level : Ratio |
Age_61 | Number of population for age 61 years | integer | level : Ratio |
Age_62 | Number of population for age 62 years | integer | level : Ratio |
Age_63 | Number of population for age 63 years | integer | level : Ratio |
Age_64 | Number of population for age 64 years | integer | level : Ratio |
Age_65 | Number of population for age 65 years | integer | level : Ratio |
Age_66 | Number of population for age 66 years | integer | level : Ratio |
Age_67 | Number of population for age 67 years | integer | level : Ratio |
Age_68 | Number of population for age 68 years | integer | level : Ratio |
Age_69 | Number of population for age 69 years | integer | level : Ratio |
Age_70 | Number of population for age 70 years | integer | level : Ratio |
Age_71 | Number of population for age 71 years | integer | level : Ratio |
Age_72 | Number of population for age 72 years | integer | level : Ratio |
Age_73 | Number of population for age 73 years | integer | level : Ratio |
Age_74 | Number of population for age 74 years | integer | level : Ratio |
Age_75 | Number of population for age 75 years | integer | level : Ratio |
Age_76 | Number of population for age 76 years | integer | level : Ratio |
Age_77 | Number of population for age 77 years | integer | level : Ratio |
Age_78 | Number of population for age 78 years | integer | level : Ratio |
Age_79 | Number of population for age 79 years | integer | level : Ratio |
Age_80 | Number of population for age 80 years | integer | level : Ratio |
Age_81 | Number of population for age 81 years | integer | level : Ratio |
Age_82 | Number of population for age 82 years | integer | level : Ratio |
Age_83 | Number of population for age 83 years | integer | level : Ratio |
Age_84 | Number of population for age 84 years | integer | level : Ratio |
Age_85 | Number of population for age 85 years | integer | level : Ratio |
Age_86 | Number of population for age 86 years | integer | level : Ratio |
Age_87 | Number of population for age 87 years | integer | level : Ratio |
Age_88 | Number of population for age 88 years | integer | level : Ratio |
Age_89 | Number of population for age 89 years | integer | level : Ratio |
Age_90 | Number of population for age 90 years | integer | level : Ratio |
Data Preview
Area Code | Country Region And County Name | All Ages | 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 |
K02000001 | United Kingdon | 65648054 | 782450 | 784742 | 793611 | 813356 | 840155 | 828601 | 812484 | 803811 | 809767 | 782793 | 766430 | 736871 | 724466 | 703991 | 693304 | 713265 | 732627 | 757787 | 771671 | 803577 | 813795 | 820603 | 855164 | 866757 | 897432 | 919209 | 904256 | 896615 | 905621 | 884947 | 891665 | 892005 | 871090 | 877283 | 876120 | 882678 | 882844 | 846857 | 789744 | 777414 | 792198 | 806821 | 821482 | 858012 | 895552 | 924703 | 903397 | 925800 | 926287 | 938960 | 938175 | 945494 | 936069 | 916258 | 895985 | 865596 | 830426 | 812245 | 793819 | 764599 | 736774 | 708964 | 709733 | 699876 | 678886 | 682468 | 694358 | 709665 | 745554 | 804472 | 619560 | 597927 | 593765 | 550605 | 490208 | 439073 | 450537 | 442052 | 424589 | 398273 | 373203 | 347936 | 316032 | 293264 | 276311 | 253540 | 227122 | 196886 | 168738 | 146702 | 571245 |
K03000001 | Great Britain | 63785917 | 757964 | 760244 | 768955 | 788201 | 814181 | 802820 | 787022 | 778002 | 783937 | 758150 | 742960 | 714011 | 701847 | 681845 | 671088 | 690869 | 709364 | 733484 | 747145 | 779692 | 790408 | 797380 | 831379 | 842942 | 872898 | 894495 | 879636 | 871958 | 880641 | 859872 | 866454 | 866983 | 846415 | 852851 | 851631 | 857678 | 857877 | 822870 | 766860 | 754691 | 769411 | 783527 | 797522 | 833152 | 870298 | 898942 | 877657 | 899763 | 899736 | 912502 | 911692 | 918553 | 909607 | 890453 | 870834 | 840860 | 806735 | 789258 | 771164 | 742908 | 716030 | 689225 | 690386 | 680955 | 660717 | 664346 | 676239 | 691821 | 727816 | 786802 | 603288 | 581914 | 577989 | 535500 | 476808 | 427153 | 439105 | 430679 | 413990 | 388105 | 363933 | 339336 | 308242 | 285846 | 269646 | 247459 | 221763 | 192104 | 164752 | 143180 | 558514 |
K04000001 | England and Wales | 58381217 | 702448 | 703660 | 711790 | 729969 | 754440 | 741125 | 728221 | 717666 | 723753 | 700304 | 686326 | 657869 | 646764 | 628447 | 617967 | 635430 | 652501 | 674503 | 686194 | 713266 | 721884 | 727282 | 758804 | 768520 | 794550 | 816440 | 804693 | 797538 | 806128 | 787679 | 794888 | 795897 | 777540 | 783096 | 781000 | 787578 | 789181 | 756473 | 705072 | 693919 | 705285 | 718969 | 732036 | 763566 | 796416 | 822153 | 801954 | 820977 | 819525 | 831740 | 831506 | 835486 | 827619 | 808805 | 791032 | 762890 | 731446 | 714644 | 698691 | 672433 | 647778 | 623893 | 626021 | 617979 | 600090 | 603270 | 615157 | 629501 | 663797 | 717775 | 551517 | 533364 | 528711 | 488707 | 434181 | 388021 | 399669 | 392692 | 377527 | 354277 | 331934 | 309653 | 281157 | 261327 | 246514 | 226887 | 203913 | 176572 | 151877 | 132031 | 517447 |
E92000001 | England | 55268067 | 669103 | 669817 | 677469 | 694761 | 717896 | 703755 | 691506 | 681478 | 686819 | 664708 | 651144 | 623877 | 613777 | 595930 | 585526 | 601534 | 617703 | 638474 | 648918 | 672781 | 680387 | 685748 | 715536 | 726123 | 752162 | 773554 | 763613 | 757456 | 767042 | 749922 | 757634 | 758621 | 741533 | 746768 | 745067 | 750423 | 751937 | 721171 | 672364 | 661116 | 672257 | 684648 | 696493 | 725840 | 756028 | 779687 | 760798 | 777816 | 776814 | 787964 | 787783 | 790516 | 782476 | 764921 | 747399 | 720501 | 690480 | 674170 | 658879 | 633630 | 610494 | 587509 | 588568 | 580671 | 563731 | 566478 | 577281 | 590764 | 622899 | 674633 | 518596 | 500806 | 496588 | 458582 | 406717 | 363263 | 375407 | 369087 | 354957 | 333332 | 312214 | 291144 | 264161 | 245530 | 232310 | 213876 | 192240 | 166582 | 143201 | 124347 | 487846 |
E12000001 | North East | 2636848 | 28662 | 28629 | 29472 | 30302 | 31367 | 31474 | 31050 | 30173 | 30728 | 29666 | 29862 | 28097 | 27612 | 26907 | 26480 | 27314 | 28414 | 29530 | 31070 | 35358 | 37350 | 37315 | 37086 | 36468 | 37815 | 37360 | 35120 | 33938 | 34026 | 32812 | 33801 | 33136 | 31876 | 32013 | 31557 | 31928 | 32335 | 30927 | 27932 | 27191 | 28755 | 29234 | 29664 | 31839 | 34488 | 36518 | 35152 | 35646 | 36440 | 37563 | 38370 | 39268 | 38862 | 38991 | 38495 | 36824 | 35834 | 36177 | 35917 | 34321 | 32870 | 31456 | 31461 | 30991 | 29953 | 30236 | 30747 | 31341 | 32762 | 35450 | 26721 | 25674 | 24835 | 22249 | 20461 | 18978 | 19703 | 19511 | 18981 | 17718 | 15986 | 15334 | 13764 | 12745 | 11816 | 10891 | 9515 | 7977 | 6727 | 5764 | 21720 |
E06000047 | County Durham | 522143 | 5347 | 5394 | 5617 | 5780 | 5807 | 6087 | 5999 | 5686 | 5948 | 5737 | 5681 | 5471 | 5242 | 5201 | 4966 | 5187 | 5431 | 5709 | 6175 | 7484 | 7892 | 7597 | 7229 | 6947 | 7376 | 7162 | 6570 | 5955 | 5834 | 5708 | 6270 | 6200 | 5923 | 6285 | 6141 | 6035 | 6070 | 5843 | 5351 | 5188 | 5489 | 5603 | 5717 | 6396 | 6849 | 7468 | 7082 | 7498 | 7625 | 7821 | 7937 | 8052 | 8048 | 7842 | 7760 | 7374 | 7020 | 7301 | 7077 | 6961 | 6664 | 6529 | 6397 | 6447 | 6243 | 6372 | 6462 | 6662 | 6819 | 7520 | 5716 | 5635 | 5503 | 4767 | 4374 | 4094 | 4113 | 3975 | 3861 | 3664 | 3221 | 3081 | 2731 | 2478 | 2226 | 2128 | 1824 | 1601 | 1306 | 1102 | 4183 |
E06000005 | Darlington | 105646 | 1192 | 1225 | 1248 | 1311 | 1373 | 1252 | 1341 | 1313 | 1272 | 1263 | 1325 | 1218 | 1241 | 1198 | 1148 | 1124 | 1204 | 1271 | 1266 | 1006 | 973 | 1054 | 1106 | 1031 | 1266 | 1343 | 1224 | 1211 | 1304 | 1281 | 1269 | 1258 | 1336 | 1240 | 1230 | 1350 | 1363 | 1351 | 1215 | 1167 | 1205 | 1290 | 1346 | 1344 | 1474 | 1550 | 1564 | 1436 | 1485 | 1591 | 1650 | 1625 | 1524 | 1585 | 1574 | 1529 | 1396 | 1433 | 1437 | 1290 | 1307 | 1183 | 1216 | 1226 | 1166 | 1172 | 1189 | 1261 | 1264 | 1442 | 1118 | 1085 | 1002 | 856 | 819 | 783 | 797 | 860 | 782 | 727 | 678 | 650 | 562 | 561 | 481 | 419 | 376 | 351 | 297 | 287 | 1038 |
E06000001 | Hartlepool | 92817 | 1087 | 1035 | 1085 | 1112 | 1174 | 1207 | 1186 | 1165 | 1164 | 1165 | 1159 | 1065 | 1019 | 1023 | 976 | 1078 | 1147 | 1151 | 1096 | 1050 | 1023 | 1128 | 1152 | 1112 | 1302 | 1239 | 1128 | 1168 | 1258 | 1248 | 1166 | 1175 | 1169 | 1092 | 1102 | 1059 | 1087 | 1026 | 931 | 930 | 967 | 986 | 1021 | 1166 | 1190 | 1302 | 1262 | 1221 | 1274 | 1404 | 1408 | 1463 | 1387 | 1421 | 1437 | 1385 | 1265 | 1315 | 1210 | 1223 | 1104 | 1125 | 1020 | 1072 | 1078 | 1032 | 1072 | 1126 | 1115 | 1170 | 900 | 855 | 769 | 694 | 710 | 595 | 685 | 664 | 690 | 666 | 560 | 563 | 501 | 482 | 452 | 369 | 340 | 282 | 235 | 193 | 752 |
E06000002 | Middlesbrough | 140398 | 1870 | 1955 | 1990 | 2010 | 1996 | 2035 | 1895 | 1762 | 1851 | 1771 | 1825 | 1671 | 1640 | 1504 | 1497 | 1607 | 1636 | 1665 | 1810 | 2245 | 2395 | 2379 | 2468 | 2500 | 2395 | 2223 | 2101 | 2165 | 2134 | 1845 | 1946 | 1847 | 1754 | 1800 | 1725 | 1684 | 1628 | 1560 | 1481 | 1421 | 1488 | 1527 | 1537 | 1597 | 1665 | 1780 | 1730 | 1605 | 1765 | 1736 | 1871 | 1980 | 1854 | 1868 | 1995 | 1840 | 1763 | 1741 | 1786 | 1714 | 1608 | 1568 | 1485 | 1502 | 1383 | 1355 | 1343 | 1310 | 1427 | 1502 | 1133 | 1058 | 1008 | 976 | 943 | 867 | 865 | 857 | 886 | 791 | 742 | 710 | 632 | 632 | 508 | 537 | 445 | 358 | 315 | 256 | 868 |
E06000057 | Northumberland | 316002 | 2887 | 2790 | 2976 | 3168 | 3288 | 3354 | 3445 | 3307 | 3507 | 3231 | 3435 | 3326 | 3403 | 3224 | 3329 | 3291 | 3417 | 3598 | 3437 | 2849 | 2769 | 2806 | 2857 | 3181 | 3357 | 3418 | 3172 | 3116 | 3324 | 3141 | 3274 | 3370 | 3151 | 3169 | 3238 | 3278 | 3562 | 3515 | 3147 | 3128 | 3296 | 3463 | 3526 | 3782 | 4025 | 4463 | 4247 | 4385 | 4508 | 4692 | 4741 | 5119 | 5107 | 5025 | 4990 | 4916 | 5008 | 5005 | 4900 | 4679 | 4633 | 4422 | 4518 | 4415 | 4387 | 4511 | 4578 | 4660 | 5068 | 5307 | 3993 | 3950 | 3802 | 3454 | 2966 | 2823 | 2816 | 2752 | 2573 | 2478 | 2236 | 2203 | 1902 | 1754 | 1619 | 1493 | 1341 | 1109 | 926 | 899 | 3302 |