Projected deaths by age, sex, type of projection and metropolitan regions [met_proj_19rdth]

Documentation on provider website

Updated by provider on December 20, 2022 (6:21 PM)

Frequency [FREQ]
Type of projection [projection]
Age class [age]
Unit of measure [unit]
Sex [sex]
Metropolitan regions [metroreg]

Dataset has 825 series. Add search filters to narrow them.

Series code 2019202020212022202320242025202620272028202920302031203220332034203520362037203820392040204120422043204420452046204720482049205020512052205320542055205620572058205920602061206220632064206520662067206820692070207120722073207420752076207720782079208020812082208320842085208620872088208920902091209220932094209520962097209820992100
A.BSL.TOTAL.PER.F.AT001MC 13809 13853 13747 13669 13635 13648 13690 13768 13881 14001 14150 14297 14444 14592 14713 14813 14920 15002 15057 15119 15179 15241 15299 15383 15497 15616 15756 15907 16075 16255 16435 16629 16829 17026 17201 17375 17519 17654 17749 17826 17874 17905 17902 17880 17841 17795 17734 17677 17617 17581 17546 17516 17519 17529 17566 17606 17661 17725 17791 17855 17909 17964 17992 18021 18022 18020 18013 17986 17953 17900 17843 17786 17723 17653 17585 17535 17476 17450 17418 17407 17412 17423
A.BSL.TOTAL.PER.F.AT002M 2980 3034 3035 3041 3058 3076 3097 3121 3145 3180 3207 3245 3277 3308 3338 3378 3401 3418 3449 3467 3488 3523 3547 3577 3612 3654 3690 3734 3778 3825 3874 3921 3971 4012 4059 4093 4125 4146 4160 4179 4177 4173 4167 4161 4143 4126 4107 4079 4061 4040 4023 4011 4000 4003 4001 4010 4019 4028 4046 4054 4066 4071 4078 4082 4075 4066 4058 4047 4031 4013 3987 3964 3934 3910 3884 3861 3838 3821 3798 3787 3776 3778
A.BSL.TOTAL.PER.F.AT003M 3669 3732 3742 3762 3787 3810 3843 3869 3905 3937 3979 4021 4060 4100 4130 4168 4199 4223 4265 4292 4334 4369 4420 4478 4538 4600 4672 4748 4827 4902 4969 5041 5112 5170 5227 5268 5309 5335 5350 5352 5348 5327 5306 5266 5231 5187 5140 5104 5061 5032 5002 4975 4963 4954 4957 4964 4966 4980 4996 5019 5032 5040 5049 5052 5049 5043 5034 5024 5012 4997 4977 4954 4927 4897 4872 4850 4830 4807 4790 4781 4769 4763
A.BSL.TOTAL.PER.F.AT004M 1538 1565 1579 1594 1616 1636 1665 1690 1719 1755 1787 1823 1856 1892 1921 1950 1973 1996 2019 2038 2060 2073 2086 2108 2129 2147 2175 2207 2234 2261 2292 2318 2343 2374 2393 2421 2435 2451 2462 2466 2466 2464 2457 2440 2420 2407 2386 2365 2347 2333 2316 2305 2296 2295 2297 2297 2305 2313 2319 2328 2333 2341 2343 2346 2338 2340 2335 2327 2320 2310 2305 2293 2283 2275 2261 2247 2241 2234 2228 2224 2216 2214
A.BSL.TOTAL.PER.F.AT005M 1230 1274 1296 1318 1342 1369 1387 1415 1442 1466 1492 1516 1541 1565 1588 1607 1625 1639 1658 1670 1676 1695 1696 1712 1729 1747 1757 1780 1806 1825 1848 1875 1898 1923 1947 1966 1992 2007 2024 2030 2039 2044 2045 2041 2038 2030 2015 2006 1996 1984 1978 1976 1974 1972 1974 1984 1990 2002 2010 2022 2032 2037 2048 2051 2055 2063 2058 2056 2051 2047 2036 2028 2017 2006 1991 1978 1970 1959 1955 1946 1942 1941
A.BSL.TOTAL.PER.F.AT_NM 19619 19928 19978 20038 20097 20172 20276 20391 20524 20665 20812 20977 21137 21295 21465 21611 21751 21900 22030 22195 22381 22564 22803 23041 23302 23611 23926 24256 24598 24923 25259 25565 25849 26110 26342 26530 26666 26748 26776 26738 26654 26515 26318 26106 25852 25563 25278 24984 24710 24440 24203 24005 23825 23688 23581 23519 23484 23450 23429 23409 23401 23381 23348 23275 23217 23125 23028 22925 22795 22672 22538 22385 22234 22080 21935 21785 21651 21527 21434 21343 21279 21232
A.BSL.TOTAL.PER.F.BE001MC 10816 11062 11068 11075 11057 11037 11022 10998 10988 10985 10997 11010 11035 11078 11138 11217 11307 11406 11518 11645 11781 11909 12050 12184 12323 12441 12560 12686 12788 12900 13006 13110 13203 13297 13383 13466 13529 13590 13652 13700 13747 13774 13800 13817 13838 13855 13880 13897 13903 13932 13961 13999 14031 14071 14094 14119 14161 14196 14233 14270 14281 14302 14318 14323 14336 14337 14344 14342 14336 14335 14310 14295 14268 14267 14243 14243 14246 14270 14295 14321 14368 14420
A.BSL.TOTAL.PER.F.BE002M 5138 5217 5187 5159 5133 5116 5102 5086 5083 5078 5084 5094 5113 5135 5172 5211 5257 5309 5369 5431 5492 5553 5616 5674 5730 5793 5846 5896 5943 5988 6025 6063 6093 6116 6138 6149 6155 6151 6149 6129 6111 6089 6068 6048 6030 6009 5990 5976 5974 5969 5978 5986 6004 6027 6053 6083 6115 6143 6178 6208 6232 6253 6270 6283 6296 6303 6312 6313 6310 6310 6310 6308 6304 6304 6312 6318 6331 6350 6371 6403 6433 6473
A.BSL.TOTAL.PER.F.BE003M 3037 3124 3137 3154 3163 3168 3175 3172 3178 3178 3181 3180 3183 3199 3199 3225 3250 3265 3292 3321 3357 3393 3421 3460 3494 3522 3554 3583 3617 3637 3667 3686 3709 3735 3751 3769 3780 3792 3796 3793 3803 3792 3783 3776 3770 3763 3750 3740 3729 3729 3728 3725 3727 3727 3731 3746 3749 3757 3769 3776 3782 3785 3794 3800 3796 3807 3809 3813 3813 3812 3808 3806 3796 3787 3783 3775 3774 3769 3773 3775 3778 3789
A.BSL.TOTAL.PER.F.BE004M 2435 2468 2451 2425 2402 2379 2367 2347 2330 2319 2313 2309 2311 2319 2323 2334 2347 2362 2380 2402 2423 2440 2462 2474 2487 2499 2507 2512 2516 2515 2516 2517 2515 2514 2512 2505 2505 2495 2490 2483 2476 2461 2454 2446 2434 2424 2409 2404 2387 2382 2372 2364 2355 2352 2345 2341 2333 2335 2340 2337 2337 2342 2338 2338 2334 2335 2338 2332 2328 2328 2320 2315 2313 2306 2304 2301 2300 2297 2306 2306 2310 2313
Dimension codes and labels
[FREQ] Frequency
  • [A] Annual
[projection] Type of projection
  • [BSL] Baseline projections
[age] Age class
  • [TOTAL] Total
[unit] Unit of measure
  • [PER] Person
[sex] Sex
  • [F] Females
  • [M] Males
  • [T] Total
[metroreg] Metropolitan regions
  • [AT001MC] Wien
  • [AT002M] Graz
  • [AT003M] Linz
  • [AT004M] Salzburg
  • [AT005M] Innsbruck
  • [AT_NM] Non-metropolitan regions in Austria
  • [BE001MC] Bruxelles / Brussel
  • [BE002M] Antwerpen
  • [BE003M] Gent
  • [BE004M] Charleroi
  • [BE005M] Liège
  • [BE_NM] Non-metropolitan regions in Belgium
  • [BG001MC] Sofia
  • [BG002M] Plovdiv
  • [BG003M] Varna
  • [BG004M] Burgas
  • [BG_NM] Non-metropolitan regions in Bulgaria
  • [CH001M] Zürich
  • [CH002M] Genève
  • [CH003M] Basel
  • [CH004MC] Bern
  • [CH005M] Lausanne
  • [CH_NM] Non-metropolitan regions in Switzerland
  • [CY001MC] Lefkosia
  • [CZ001MC] Praha
  • [CZ002M] Brno
  • [CZ003M] Ostrava
  • [CZ004M] Plzen
  • [CZ_NM] Non-metropolitan regions in Czech Republic
  • [DE001MC] Berlin
  • [DE002M] Hamburg
  • [DE003M] München
  • [DE004M] Köln
  • [DE005M] Frankfurt am Main
  • [DE007M] Stuttgart
  • [DE008M] Leipzig
  • [DE009M] Dresden
  • [DE011M] Düsseldorf
  • [DE012M] Bremen
  • [DE013M] Hannover
  • [DE014M] Nürnberg
  • [DE017M] Bielefeld
  • [DE018M] Halle an der Saale
  • [DE019M] Magdeburg
  • [DE020M] Wiesbaden
  • [DE021M] Göttingen
  • [DE025M] Darmstadt
  • [DE027M] Freiburg im Breisgau
  • [DE028M] Regensburg
  • [DE031M] Schwerin
  • [DE032M] Erfurt
  • [DE033M] Augsburg
  • [DE034M] Bonn
  • [DE035M] Karlsruhe
  • [DE036M] Mönchengladbach
  • [DE037M] Mainz
  • [DE038M] Ruhrgebiet
  • [DE039M] Kiel
  • [DE040M] Saarbrücken
  • [DE042M] Koblenz
  • [DE043M] Rostock
  • [DE044M] Kaiserslautern
  • [DE045M] Iserlohn
  • [DE052M] Flensburg
  • [DE054M] Konstanz
  • [DE057M] Gießen
  • [DE059M] Bayreuth
  • [DE061M] Aschaffenburg
  • [DE064M] Neubrandenburg
  • [DE069M] Rosenheim
  • [DE073M] Offenburg
  • [DE074M] Görlitz
  • [DE077M] Schweinfurt
  • [DE079M] Wetzlar
  • [DE083M] Braunschweig-Salzgitter-Wolfsburg
  • [DE084M] Mannheim-Ludwigshafen
  • [DE504M] Münster
  • [DE507M] Aachen
  • [DE510M] Lübeck
  • [DE513M] Kassel
  • [DE517M] Osnabrück
  • [DE520M] Oldenburg (Oldenburg)
  • [DE522M] Heidelberg
  • [DE523M] Paderborn
  • [DE524M] Würzburg
  • [DE527M] Bremerhaven
  • [DE529M] Heilbronn
  • [DE532M] Ulm
  • [DE533M] Pforzheim
  • [DE534M] Ingolstadt
  • [DE537M] Reutlingen
  • [DE540M] Siegen
  • [DE542M] Hildesheim
  • [DE544M] Zwickau
  • [DE546M] Wuppertal
  • [DE548M] Düren
  • [DE549M] Bocholt
  • [DE_NM] Non-metropolitan regions in Germany
  • [DK001MC] København
  • [DK002M] Århus
  • [DK003M] Odense
  • [DK004M] Aalborg
  • [DK_NM] Non-metropolitan regions in Denmark
  • [EE001MC] Tallinn
  • [EE_NM] Non-metropolitan regions in Estonia
  • [EL001MC] Athina
  • [EL002M] Thessaloniki
  • [EL_NM] Non-metropolitan regions in Greece
  • [ES001MC] Madrid
  • [ES002M] Barcelona
  • [ES003M] Valencia
  • [ES004M] Sevilla
  • [ES005M] Zaragoza
  • [ES006M] Málaga - Marbella
  • [ES007M] Murcia - Cartagena
  • [ES008M] Las Palmas
  • [ES009M] Valladolid
  • [ES010M] Palma de Mallorca
  • [ES012M] Vitoria/Gasteiz
  • [ES013M] Oviedo - Gijón
  • [ES014M] Pamplona/Iruña
  • [ES015M] Santander
  • [ES019M] Bilbao
  • [ES020M] Córdoba
  • [ES021M] Alicante/Alacant - Elche/Elx
  • [ES022M] Vigo
  • [ES025M] Santa Cruz de Tenerife
  • [ES026M] A Coruña
  • [ES501M] Granada
  • [ES510M] Guipúzcoa
  • [ES522M] Cádiz
  • [ES_NM] Non-metropolitan regions in Spain
  • [FI001MC] Helsinki
  • [FI002M] Tampere
  • [FI003M] Turku
  • [FI_NM] Non-metropolitan regions in Finland
  • [FR001MC] Paris
  • [FR003M] Lyon
  • [FR004M] Toulouse
  • [FR006M] Strasbourg
  • [FR007M] Bordeaux
  • [FR008M] Nantes
  • [FR009M] Lille - Dunkerque - Valenciennes
  • [FR010M] Montpellier
  • [FR011M] Saint-Etienne
  • [FR013M] Rennes
  • [FR014M] Amiens
  • [FR015M] Rouen
  • [FR016M] Nancy
  • [FR018M] Reims
  • [FR019M] Orléans
  • [FR020M] Dijon
  • [FR021M] Poitiers
  • [FR022M] Clermont-Ferrand
  • [FR023M] Caen
  • [FR024M] Limoges
  • [FR025M] Besançon
  • [FR026M] Grenoble
  • [FR030M] Fort-de-France
  • [FR035M] Tours
  • [FR036M] Angers
  • [FR037M] Brest
  • [FR038M] Le Mans
  • [FR040M] Mulhouse
  • [FR043M] Perpignan
  • [FR044M] Nimes
  • [FR045M] Pau
  • [FR203M] Marseille
  • [FR205M] Nice
  • [FR_NM] Non-metropolitan regions in France
  • [HR001MC] Zagreb
  • [HR005M] Split
  • [HR_NM] Non-metropolitan regions in Croatia
  • [HU001MC] Budapest
  • [HU002M] Miskolc
  • [HU004M] Pécs
  • [HU005M] Debrecen
  • [HU009M] Székesfehérvár
  • [HU_NM] Non-metropolitan regions in Hungary
  • [IE001MC] Dublin
  • [IE002M] Cork
  • [IE_NM] Non-metropolitan regions in Ireland
  • [IS_NM] Non-metropolitan regions in Iceland
  • [IT001MC] Roma
  • [IT002M] Milano
  • [IT003M] Napoli
  • [IT004M] Torino
  • [IT005M] Palermo
  • [IT006M] Genova
  • [IT007M] Firenze
  • [IT008M] Bari
  • [IT009M] Bologna
  • [IT010M] Catania
  • [IT011M] Venezia
  • [IT012M] Verona
  • [IT022M] Taranto
  • [IT027M] Cagliari
  • [IT028M] Padova
  • [IT029M] Brescia
  • [IT501M] Messina
  • [IT502M] Prato
  • [IT503M] Parma
  • [IT505M] Reggio nell Emilia
  • [IT_NM] Non-metropolitan regions in Italy
  • [LI_NM] Non-metropolitan regions in Liechtenstein
  • [LT001MC] Vilnius
  • [LT002M] Kaunas
  • [LT_NM] Non-metropolitan regions in Lithuania
  • [LU001MC] Luxembourg
  • [LV001MC] Riga
  • [LV_NM] Non-metropolitan regions in Latvia
  • [MT001MC] Valletta
  • [MT_NM] Non-metropolitan regions in Malta
  • [NL001M] s' Gravenhage
  • [NL002MC] Amsterdam
  • [NL003M] Rotterdam
  • [NL004M] Utrecht
  • [NL005M] Eindhoven
  • [NL006M] Tilburg
  • [NL007M] Groningen
  • [NL008M] Enschede
  • [NL009M] Arnhem - Nijmegen
  • [NL012M] Breda
  • [NL015M] Leeuwarden
  • [NL507M] Leiden
  • [NL511M] Zwolle
  • [NL_NM] Non-metropolitan regions in Netherlands
  • [NO001MC] Oslo
  • [NO002M] Bergen
  • [NO_NM] Non-metropolitan regions in Norway
  • [PL001MC] Warszawa
  • [PL002M] Lódz
  • [PL003M] Kraków
  • [PL004M] Wroclaw
  • [PL005M] Poznan
  • [PL006M] Gdansk
  • [PL007M] Szczecin
  • [PL008M] Bydgoszcz - Torún
  • [PL009M] Lublin
  • [PL010M] Katowice
  • [PL011M] Bialystok
  • [PL012M] Kielce
  • [PL014M] Olsztyn
  • [PL015M] Rzeszów
  • [PL016M] Opole
  • [PL024M] Czestochowa
  • [PL025M] Radom
  • [PL506M] Bielsko-Biala
  • [PL514M] Tarnów
  • [PL_NM] Non-metropolitan regions in Poland
  • [PT001MC] Lisboa
  • [PT002M] Porto
  • [PT005M] Coimbra
  • [PT_NM] Non-metropolitan regions in Portugal
  • [RO001MC] Bucuresti
  • [RO002M] Cluj-Napoca
  • [RO003M] Timisoara
  • [RO004M] Craiova
  • [RO501M] Constanta
  • [RO502M] Iasi
  • [RO503M] Galati
  • [RO504M] Brasov
  • [RO505M] Ploiesti
  • [RO_NM] Non-metropolitan regions in Romania
  • [SE001MC] Stockholm
  • [SE002M] Göteborg
  • [SE003M] Malmö
  • [SE006M] Uppsala
  • [SE_NM] Non-metropolitan regions in Sweden
  • [SI001MC] Ljubljana
  • [SI002M] Maribor
  • [SI_NM] Non-metropolitan regions in Slovenia
  • [SK001MC] Bratislava
  • [SK002M] Kosice
  • [SK_NM] Non-metropolitan regions in Slovakia
Technical links