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[46_572] Pensions broken time series 2008-2013

Updated on DBnomics on January 11, 2023 (1:18 PM).

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Frequency [FREQ] (1)
Gender [SESSO] (3)
Data type [TIPO_DATO] (6)
Pension type [TIPO_PENSIONE] (15)
Age class [CLASSE_ETA] (22)
Monthly amount class [IMPORTO] (13)
Territory [ITTER107] (141)
(Ex) Professional status [PROFILO_PROF_EX] (4)
Sector [SETTORE] (3)

This dataset has 1,531,502 series:

Series code 20092010200820112012
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITC4B.99.9] 5664.48 5765.64 NA NA NA
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD.99.9] 6362.1 6115.33 5938.84 7114.52 6416.76
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD1.99.9] 10800 7023.72 5581.08 10800 NA
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD10.99.9] 10800 7023.72 5581.08 10800 NA
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD2.99.9] 5664.48 NA 5581.08 16045.47 NA
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD20.99.9] 5664.48 NA 5581.08 16045.47 NA
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD3.99.9] 6515.49 6675.03 6225.05 6488.6 6917.88
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD32.99.9] 5664.48 5765.64 5581.08 5848.68 5915.64
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD34.99.9] 5664.48 5765.64 5581.08 5848.68 NA
[A.1.AMEP_NS.ACCALL.NDIV.TOTAL.ITD36.99.9] 6515.49 7584.42 6654.36 7768.44 7920.12