Monthly raw balances - national and geographical areas levels [30_264_DF_DCSC_FIDCONS_2]

Updated on DBnomics on February 29, 2024 (4:35 AM)

Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Adjustment [ADJUSTMENT]
Age [AGE]
Sex [SEX]
Highest level of education attained [EDU_LEV_HIGHEST]
Occupation of respondent [LABPROF_STATUS_A_FID]

Dataset has 77 series. Add search filters to narrow them.

Dimension codes and labels
[FREQ] Frequency
  • [M] monthly
[REF_AREA] Territory
  • [IT] Italy
  • [ITC] Nord-ovest
  • [ITD] Nord-est
  • [ITE] Centro (I)
  • [ITFG] Mezzogiorno
[DATA_TYPE] Indicator
  • [10_S_WE] savings at present - balance - weighted estimates
  • [11_S_WE] savings over next 12 months - balance - weighted estimates
  • [12_S_WE] statement on financial situation of household - balance - weighted estimates
  • [16_S_WE] predictability of future financial situations - balance - weighted estimates
  • [1_S_WE] financial situation over last 12 months - balance - weighted estimates
  • [2_S_WE] financial situation over next 12 months - balance - weighted estimates
  • [3_S_WE] general economic situation over last 12 months - balance - weighted estimates
  • [4_S_WE] general economic situation over next 12 months - balance - weighted estimates
  • [5_S_WE] price trends over last 12 months - balance - weighted estimates
  • [6_S_WE] price trends over next 12 months - balance - weighted estimates
  • [7_S_WE] unemployment expectations over next 12 months - balance - weighted estimates
  • [8_S_WE] major purchases at present - balance - weighted estimates
  • [9_S_WE] major purchases over next 12 months - balance - weighted estimates
[ADJUSTMENT] Adjustment
  • [N] raw data
  • [Y] seasonally adjusted data
[AGE] Age
  • [TOTAL] total
[SEX] Sex
  • [9] total
[EDU_LEV_HIGHEST] Highest level of education attained
  • [99] total
[LABPROF_STATUS_A_FID] Occupation of respondent
  • [99] total
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