Geographical area and type of municipalities [34_215_DF_DCCV_ARRETRATI_6]
Updated on DBnomics on July 21, 2023 (8:11 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Measure [MEASURE]
Expenditures [COICOP_LIST]
Household number of components [NUMBER_HOUSEHOLD_COMP]
Household typology [HOUSEHOLD_TYPOLOGY]
Number of children [NUMB_OF_CHILDREN]
Number of elderly [NUMB_OF_ELDERLY]
Sex of main income earner [SEX_MAIN_PERCEPTOR]
Age of main income earner [AGE_MAIN_EARNIER]
Educational level of main income earner [EDU_LEV_MAIN_EARN]
Professional status of main income earner [LABPROF_STATUS_C_MAIN_EARNER]
Dataset has 45 series. Add search filters to narrow them.
| Series code | 2008 | 2017 | 2018 | 2019 | 2020 | 2004 | 2005 | 2006 | 2007 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A.1.FAM_ARR_SPESA.10.1.99.99.9.9.9.9.99.99 | 12.5 | 5 | 5.7 | 5.6 | 6.3 | ||||||||||||||
| A.1.FAM_ARR_SPESA.10.2.99.99.9.9.9.9.99.99 | 5.7 | 3.4 | 4 | 3.7 | 3.4 | ||||||||||||||
| A.1.FAM_ARR_SPESA.10.3.99.99.9.9.9.9.99.99 | 8.8 | NA | NA | NA | NA | ||||||||||||||
| A.2.FAM_ARR_SPESA.10.1.99.99.9.9.9.9.99.99 | 14.5 | 5 | 5.7 | 5.6 | 6.3 | 10.5 | 10.4 | 10.6 | 10.2 | 9.8 | 10 | 12.8 | 10 | 11.9 | 12.2 | 12.4 | 8.8 | 6.4 | 5.3 |
| A.2.FAM_ARR_SPESA.10.2.99.99.9.9.9.9.99.99 | 5.7 | 3.4 | 4 | 3.7 | 3.4 | 5.7 | 4.7 | 4.8 | 5.2 | 5 | 5.2 | 5.7 | 4.6 | 6.2 | 7.2 | 6.8 | 5.5 | 3.9 | 3.4 |
| A.2.FAM_ARR_SPESA.10.3.99.99.9.9.9.9.99.99 | 11.8 | NA | NA | NA | NA | 18.4 | 16.6 | 17.6 | 19 | 13.9 | 13.6 | 14.4 | 8.1 | 15.3 | 15.3 | 12.1 | 17 | NA | 7.5 |
| A.3.FAM_ARR_SPESA.10.1.99.99.9.9.9.9.99.99 | 9.3 | 5.6 | 5.3 | 3.4 | 6.5 | 8.9 | 10.2 | 10.3 | 10 | 10 | 10.7 | 14 | 13 | 11.5 | 10.1 | 11.9 | 7.8 | 7.5 | 5.2 |
| A.3.FAM_ARR_SPESA.10.2.99.99.9.9.9.9.99.99 | 2.6 | 3 | 3.5 | 1.5 | 2.2 | 3.8 | 4 | 4.9 | 4.7 | 4.7 | 5.2 | 5.9 | 5.1 | 3.9 | 4.1 | 5.7 | 3.5 | 3 | 2.1 |
| A.3.FAM_ARR_SPESA.10.3.99.99.9.9.9.9.99.99 | 13.4 | NA | NA | NA | NA | 13.3 | 12.9 | 11.9 | 17.1 | 18.8 | 13.8 | 11.8 | 8.8 | 7.8 | NA | NA | NA | NA | NA |
| A.4.FAM_ARR_SPESA.10.1.99.99.9.9.9.9.99.99 | 11.1 | 3.2 | 3.8 | 3.7 | 4.9 |
Showing results 1 - 10 / 45
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [1] metropolitan area
- [2] metropolitan area - centre
- [3] metropolitan area - suburbs
- [4] big municipality
- [5] small municipality
- [6] until 2,000 inhab.
- [7] 2,001 - 10,000 inhab.
- [8] 10,001 - 50,000 inhab.
- [9] 50,001 inhab. and over
- [IT] Italy
- [ITC] Nord-ovest
- [ITD] Nord-est
- [ITE] Centro (I)
- [ITF] Sud
- [ITG] Isole
[DATA_TYPE] Indicator
- [FAM_ARR_SPESA] households who have arrears on selected items (percent of households that bought that item)
[MEASURE] Measure
- [10] per hundred values
[COICOP_LIST] Expenditures
- [1] utility bills
- [2] rent or mortgage (for the dwelling)
- [3] debt repayments (exc. dwelling)
[NUMBER_HOUSEHOLD_COMP] Household number of components
- [99] total
[HOUSEHOLD_TYPOLOGY] Household typology
- [99] total
[NUMB_OF_CHILDREN] Number of children
- [9] total
[NUMB_OF_ELDERLY] Number of elderly
- [9] total
[SEX_MAIN_PERCEPTOR] Sex of main income earner
- [9] total
[AGE_MAIN_EARNIER] Age of main income earner
- [9] total
[EDU_LEV_MAIN_EARN] Educational level of main income earner
- [99] total
[LABPROF_STATUS_C_MAIN_EARNER] Professional status of main income earner
- [99] total