Baselight

Population On 1st January By Age, Sex, Type Of Projection And Other Typologies

Eurostat code: urt_proj_19rp ยท (2019 - 2100)

@eurostat.urt_proj_19rp

Population On 1st January By Age, Sex, Type Of Projection And Other Typologies - Raw
@eurostat.urt_proj_19rp.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

  • 517.4 KB
  • 1053 rows
  • 89 columns
freq

Freq

terrtypo

Terrtypo

projection

Projection

age

Age

sex

Sex

unit

Unit

geo

Geo

n_2019

2019

n_2020

2020

n_2021

2021

n_2022

2022

n_2023

2023

n_2024

2024

n_2025

2025

n_2026

2026

n_2027

2027

n_2028

2028

n_2029

2029

n_2030

2030

n_2031

2031

n_2032

2032

n_2033

2033

n_2034

2034

n_2035

2035

n_2036

2036

n_2037

2037

n_2038

2038

n_2039

2039

n_2040

2040

n_2041

2041

n_2042

2042

n_2043

2043

n_2044

2044

n_2045

2045

n_2046

2046

n_2047

2047

n_2048

2048

n_2049

2049

n_2050

2050

n_2051

2051

n_2052

2052

n_2053

2053

n_2054

2054

n_2055

2055

n_2056

2056

n_2057

2057

n_2058

2058

n_2059

2059

n_2060

2060

n_2061

2061

n_2062

2062

n_2063

2063

n_2064

2064

n_2065

2065

n_2066

2066

n_2067

2067

n_2068

2068

n_2069

2069

n_2070

2070

n_2071

2071

n_2072

2072

n_2073

2073

n_2074

2074

n_2075

2075

n_2076

2076

n_2077

2077

n_2078

2078

n_2079

2079

n_2080

2080

n_2081

2081

n_2082

2082

n_2083

2083

n_2084

2084

n_2085

2085

n_2086

2086

n_2087

2087

n_2088

2088

n_2089

2089

n_2090

2090

n_2091

2091

n_2092

2092

n_2093

2093

n_2094

2094

n_2095

2095

n_2096

2096

n_2097

2097

n_2098

2098

n_2099

2099

n_2100

2100

AnnualBorder regionsBaseline projectionsTotalFemalesPersonAustria4038525406191440743994087462410109941152084129760414335941563404168670418029841912234201424421094842198344228125423589742432014250137425672742630074268957427456642798614284761428924142932134296638429948943017194303303430424743045004304090430302343013484299119429639842932844289860428623442824964278748427507442715664268304426533642627084260421425845942567814255378425423242532574252419425162142508224249981424907542481044247021424585842446164243338424206742408364239653423855142375554236715423604842355644235320423529242355254236019423673842376674238769424002842414104242877
AnnualBorder regionsBaseline projectionsTotalFemalesPersonBelgium4262842427500342835504291244429805343039464308877431346743179894322450432684043311624335427433957843436724347665435153243552734358833436212543651414367793437005243718794373166437391043740974373769437290243715184369665436732443645764361451435802543543674350503434653543424964338546433467143309734327509432432243214214318844431661343147184313152431187643108664310095430951443090784308770430851643082424307955430762243072034306719430616043055564304940430425943035564302849430216943015184300954430050143001474299946429988643000164300273430063643010944301628430219543027774303338
AnnualBorder regionsBaseline projectionsTotalFemalesPersonBulgaria1799911178109317614961742233172323417045681686292166850816507921633233161582015985611581525156474215481931531846151571314997871484125146872914535811438689142405114096761395552138169613681051354806134174013289161316282130387212917091279747126798112564211245058123389112229381212169120162411912561181073117112211613901151862114255911335231124762111624511080131100070109244410850911078058107135110649191058806105300810475161042342103750010329711028816102498610214781018307101546510129721010804100894310074181006188100523510044871003955100357710033221003148100302210029861002991
AnnualBorder regionsBaseline projectionsTotalFemalesPersonSwitzerland3921943393888539563333975772399714940204814045739407080840956304120151414433141682184191756421493842378184260372428260943045764326278434777043690634390203441117644320294452763447337444938634514197453439245543634574086459352846126484631435464985146679394685719470317547204154737473475441947713294788287480535948225814840024485775448757764894118491277849317254950955497042449900875009921502987650499335070035509021051104485130745515110151715255192071521274552335745254563527575252971415318755534059453626865385036540764054305055453634547698555005505524318554828255724185596747
AnnualBorder regionsBaseline projectionsTotalFemalesPersonCyprus
AnnualBorder regionsBaseline projectionsTotalFemalesPersonCzechia4734983474270447479194751081475202147506014746815474210347363634729652472200447135334704327469448946841504673456466254546515424640581462975646191144608690459849945885674578964456966745607084552136454393245360434528452452105345137704506533449923744917944484111447609144676934458856444955644397624429488441876544076374396180438449043726844360850434911843375874326383431561143053914295827428701542789934271850426560042602194255641425184942487914246404424462642434484242824424278942433354244454424614742484114251211425449642582464262346426675542713424276007428061742851334289481
AnnualBorder regionsBaseline projectionsTotalFemalesPersonGermany10100633101054401010949910111661101115811010927010104650100989261009263810085795100784811007094410063313100556731004810310040754100337951002701910020532100142201000795310001387999449399870719978901996989599599319948987993709499242929910523989579698802399864020984724298300799812760979545697785189762186974672397324199719608970843096990089691605968623496828419681309968151696832819686444969061996955979701156970702997131229719225972542097316769737940974424397506219757165976391697709249778234978591697939879802420981130898206219830440984070098513289862254987345698849349896573990839899204329932612
AnnualBorder regionsBaseline projectionsTotalFemalesPersonDenmark361417360653360174359833359589359468359461359484359506359525359505359463359407359373359351359328359293359248359154359053358927358795358643358487358329358187358042357899357776357669357573357487357402357324357263357201357147357113357094357077357098357137357198357303357437357599357818358081358376358723359121359556360007360501361032361594362188362798363423364062364712365351366003366654367278367904368505369090369673370244370807371372371949372520373108373706374314374930375555376202376845377495
AnnualBorder regionsBaseline projectionsTotalFemalesPersonEstonia315577313583310676307777304866301964299061296185293315290438287576284738281936279169276436273743271092268469265889263346260826258366255937253539251173248830246507244217241935239673237429235209233031230881228751226654224596222573220581218633216733214875213063211295209570207889206270204693203165201690200263198885197554196270195044193868192732191641190580189581188601187659186754185882185049184241183491182779182121181507180945180448180005179601179249178939178663178414178188177981177795177609
AnnualBorder regionsBaseline projectionsTotalFemalesPersonGreece674679671517668261664932661503657969654390651108647874644703641676638755635980633257630601628035625563623114620679618275615871613470611046608580606084603534600937598301595644592962590238587485584723581945579174576338573509570680567884565111562363559684557034554452551932549495547149544889542727540661538689536835535095533444531909530497529202528035526975526051525231524514523887523368522953522621522340522136521987521908521854521862521882521935522022522135522293522503522717522959523242523551

CREATE TABLE raw (
  "freq" VARCHAR,
  "terrtypo" VARCHAR,
  "projection" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE,
  "n_2025" DOUBLE,
  "n_2026" DOUBLE,
  "n_2027" DOUBLE,
  "n_2028" DOUBLE,
  "n_2029" DOUBLE,
  "n_2030" DOUBLE,
  "n_2031" DOUBLE,
  "n_2032" DOUBLE,
  "n_2033" DOUBLE,
  "n_2034" DOUBLE,
  "n_2035" DOUBLE,
  "n_2036" DOUBLE,
  "n_2037" DOUBLE,
  "n_2038" DOUBLE,
  "n_2039" DOUBLE,
  "n_2040" DOUBLE,
  "n_2041" DOUBLE,
  "n_2042" DOUBLE,
  "n_2043" DOUBLE,
  "n_2044" DOUBLE,
  "n_2045" DOUBLE,
  "n_2046" DOUBLE,
  "n_2047" DOUBLE,
  "n_2048" DOUBLE,
  "n_2049" DOUBLE,
  "n_2050" DOUBLE,
  "n_2051" DOUBLE,
  "n_2052" DOUBLE,
  "n_2053" DOUBLE,
  "n_2054" DOUBLE,
  "n_2055" DOUBLE,
  "n_2056" DOUBLE,
  "n_2057" DOUBLE,
  "n_2058" DOUBLE,
  "n_2059" DOUBLE,
  "n_2060" DOUBLE,
  "n_2061" DOUBLE,
  "n_2062" DOUBLE,
  "n_2063" DOUBLE,
  "n_2064" DOUBLE,
  "n_2065" DOUBLE,
  "n_2066" DOUBLE,
  "n_2067" DOUBLE,
  "n_2068" DOUBLE,
  "n_2069" DOUBLE,
  "n_2070" DOUBLE,
  "n_2071" DOUBLE,
  "n_2072" DOUBLE,
  "n_2073" DOUBLE,
  "n_2074" DOUBLE,
  "n_2075" DOUBLE,
  "n_2076" DOUBLE,
  "n_2077" DOUBLE,
  "n_2078" DOUBLE,
  "n_2079" DOUBLE,
  "n_2080" DOUBLE,
  "n_2081" DOUBLE,
  "n_2082" DOUBLE,
  "n_2083" DOUBLE,
  "n_2084" DOUBLE,
  "n_2085" DOUBLE,
  "n_2086" DOUBLE,
  "n_2087" DOUBLE,
  "n_2088" DOUBLE,
  "n_2089" DOUBLE,
  "n_2090" DOUBLE,
  "n_2091" DOUBLE,
  "n_2092" DOUBLE,
  "n_2093" DOUBLE,
  "n_2094" DOUBLE,
  "n_2095" DOUBLE,
  "n_2096" DOUBLE,
  "n_2097" DOUBLE,
  "n_2098" DOUBLE,
  "n_2099" DOUBLE,
  "n_2100" DOUBLE
);

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