Baselight

Assumptions For Net Migration By Age, Sex, Type Of Projection And NUTS 3 Region

Eurostat code: proj_19ranmig3 · (2019 - 2100)

@eurostat.proj_19ranmig3

Assumptions For Net Migration By Age, Sex, Type Of Projection And NUTS 3 Region - Raw
@eurostat.proj_19ranmig3.raw

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

  • 32.15 MB
  • 372096 rows
  • 88 columns
freq

Freq

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

AnnualBaseline projectionsTotalFemalesPersonMittelburgenland989210099106113114106100989999104107101959695959595919798103103104110107110112105107100969492939190898384788181828076736968686869646265625760554950504948505053505651494950586567677071
AnnualBaseline projectionsTotalFemalesPersonNordburgenland861711710704696682669650645640626614606601583577574565553533534518521516511508501490485477474474476452457445446446442434423420413405399399389385384380379377371372355361359352343349341336337332328325322315316308302300293290287289282283265278270273
AnnualBaseline projectionsTotalFemalesPersonSüdburgenland233180181205208211211207214221223223215213211209216214217222219226226219219215211215211213217223234230222222221212216213205205199200200195194196191186187183176181188190190188188188190187184187180175182175178179172176169166165163159149145132133130
AnnualBaseline projectionsTotalFemalesPersonMostviertel-Eisenwurzen351228249257276276278288296307311305300306314319327326334335342353345349347352349357359365377381382379378383376375379394399397403401399398394392393395391396397392389394395392385395398391399388384390393394397397391390392383379382377381380376380378
AnnualBaseline projectionsTotalFemalesPersonNiederösterreich-Süd792597604617615636624612603596578578571567554547538534515518501497495482481469464460455450445442435433429436430431420413410416404416398397384399385373370377375367375366359354361344356350344342337338340326331333330317319317315309315315311308301307
AnnualBaseline projectionsTotalFemalesPersonSankt Pölten547443452440444437424421406404400394380373369366362356344343339342327323318312318315311302293296289286276284283281267274265267262270268256258261253246244248241240236238231232228226227228227222218212212208204202207200194198195194197192198195197198
AnnualBaseline projectionsTotalFemalesPersonWaldviertel191113136177183213221233246258257268278283285298303307308307316326317330328326333344348351358350348347353352351358358353355366366364363362368367370359354361353361361361357357359358357357354353350355348351344343343345333333344339340340335333322321
AnnualBaseline projectionsTotalFemalesPersonWeinviertel374347348357367376377365361359352346351343338340334326332316317310310312301308299295286283282289287272273276268262270266257254253250245247238234233235232220215218218214212217209202198201198200196194197195193195191179175179178179173172174174172173
AnnualBaseline projectionsTotalFemalesPersonWiener Umland/Nordteil16961416139613751362135312931264121711871145110710631030994972925898874847825798774759745720693684666652639634627604593582570554541523525511505494490476461457447436431423412413394380380379376364350357359355358347344343337333330327322318311311311306302297298296
AnnualBaseline projectionsTotalFemalesPersonWiener Umland/Südteil1769130912621230118311651115108810551028998962946911877869838814807781761751724710693676671653638634617613599586582567567551542542530513512513491478490472451456453453439432428416407399404392383385373383379379364363364349346350348335346334337324326326325325

CREATE TABLE raw (
  "freq" 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
);

Share link

Anyone who has the link will be able to view this.