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Eurostat EQ_WDISC

Version 2023-01-01
Grade C

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Contents
  1. Preamble
  2. dataset/freq
  3. dataset/unit
  4. dataset/cities
  5. dataset/indic_ur

522 series, 984 observations (984 with a value), periods 2019 to 2023 dimensions: freq, unit, cities, indic_ur

dataset/freq

freq: A

dataset/unit

unit: PC

dataset/cities

cities: AT001C AT002C BE001C BE002C BE005C BG001C BG004C CH002C CH003C CY001C CZ001C CZ003C DE001C DE002C DE003C DE004C DE005C DE006C DE007C DE008C DE009C DE010C DE011C DE033C DE040C DK001C DK004C EE001C EE002C EE003C EL001C EL004C ES001C ES002C ES006C ES013C FI001C FI004C FR001C FR003C FR004C FR005C FR009C FR016C HR001C HU001C HU002C IE001C IS001C IT001C IT003C IT004C IT005C IT009C IT012C LT001C LU001C LV001C MT001C NL001C NL018C NL037C NO001C PL001C PL003C PL006C PL011C PT001C PT003C RO001C RO002C RO011C SE001C SE003C SI001C SK001C SK002C TR001C TR003C TR007C TR012C UK001C UK004C UK008C UK009C UK012C UK013C

dataset/indic_ur

indic_ur: PS3529V PS3532V PS3535V PS3538V PS3541V PS3544V

Versions

  1. 2023-01-01