[ISTAT] Italian National Institute of Statistics
Updated on DBnomics on May 19, 2024 (4:28 AM)
- [92_504_DF_DCCN_ANA_1] Output and value added by industry
- [92_504_DF_DCCN_ANA_2] Compensation of employees and its components by industry
- [92_504_DF_DCCN_ANA_3] Taxes and subsidies on production by industry
- [92_504_DF_DCCN_ANA_4] Gross fixed capital formation by asset and industry
- [92_504_DF_DCCN_ANA_5] Stocks of fixed assets and consumption of fixed capital by industry
- [92_504_DF_DCCN_ANA_6] Final consumption expenditure of household by expenditure item (Coicop 3 digit) and durability
- [92_504_DF_DCCN_ANA_7] Per capita values
- [92_505_DF_DCCN_SQCN_1] Sequence of accounts
- [92_506_DF_DCCN_PILN_1] Gross Domestic Product and main components
- [163_156_DF_DCCN_SQCQ_3] Gross domestic product and growth rates (preliminary estimate)
- [163_184_DF_DCCN_PILQ_1] Gross Domestic Product and main components
- [163_24_DF_DCCN_QNA_1] Value added by industry
- [163_24_DF_DCCN_QNA_2] Gross fixed capital formation by asset
- [163_24_DF_DCCN_QNA_3] Final consumption expenditure of households
- [163_24_DF_DCCN_QNA_4] Final consumption expenditure of households by expenditure item (Coicop 2 digit) and durability
- [163_24_DF_DCCN_QNA_5] Compensation of employees and its components by industry
- [163_24_DF_DCCN_QNA_6] Costs and margins by industry
- [93_1095_DF_DCCN_ISTITUZ_TNA1_1] Disposable income of the households in the italian regions
- [93_382_DF_DCCN_SQCT_1] Sequence of accounts
- [93_498_DF_DCCN_PILT_1] Gross domestic product supply side
- [93_500_DF_DCCN_TNA_1] Value added by industry
- [93_500_DF_DCCN_TNA_2] Compensation of employees and its components by industry
- [93_500_DF_DCCN_TNA_3] Final consumption expenditure of households by expenditure item (Coicop 2 digit) and durability
- [93_500_DF_DCCN_TNA_4] Final consumption expenditure of general government by function
- [93_500_DF_DCCN_TNA_5] Gross fixed capital formation breakdown by industry
- [93_500_DF_DCCN_TNA_6] Per capita values
- [94_1063_DF_DCCN_ISTITUZ_ANA1_1] Sequence of accounts
- [94_1063_DF_DCCN_ISTITUZ_ANA1_2] Key indicators on households as consumers and non-financial corporations
- [94_1063_DF_DCCN_ISTITUZ_ANA1_3] Value added and compensation of employees breakdown by industry
- [94_1063_DF_DCCN_ISTITUZ_ANA1_4] Gross fixed capital formation by asset
- [94_1063_DF_DCCN_ISTITUZ_ANA1_5] Stock of non-financial assets
- [94_805_DF_DCCN_OCCSISEC2010_1] Employment breakdown by industry
- [95_815_DF_DCCN_FPA_1] Economic account by subsector
- [95_815_DF_DCCN_FPA_2] Indicators (GDP ratio)
- [95_815_DF_DCCN_FPA_3] Compensation of employees, wages and salaries per capita by subsector
- [95_815_DF_DCCN_FPA_4] Gross fixed capital formation by subsector
- [95_815_DF_DCCN_FPA_5] Taxes and social contributions by subsector
- [95_815_DF_DCCN_FPA_6] Generation of final consumption expenditure
- [97_1027_DF_DCCN_PEFA_1] Supply and use: scheme
- [97_1027_DF_DCCN_PEFA_2] Supply by activity and energy flow
- [97_1027_DF_DCCN_PEFA_3] Use by activity and energy flow
- [97_1027_DF_DCCN_PEFA_4] Emission-relevant use by activity and energy flow (related to fuel combustion)
- [97_1027_DF_DCCN_PEFA_5B] Vectors of key energy indicators
- [97_1027_DF_DCCN_PEFA_6] Bridge table: energy consumption
- [97_1027_DF_DCCN_PEFA_7] Use of energy flows by type
- [97_1027_DF_DCCN_PEFA_8] Energy intensity
- [97_1027_DF_DCCN_PEFA_9] Emission intensity of energy consumption
- [97_953_DF_DCCN_SPESAPROTAMB_1] National expenditure
- [97_953_DF_DCCN_SPESAPROTAMB_2] Economic aggregates by institutional sector
- [97_953_DF_DCCN_SPESAPROTAMB_3] Gross fixed capital formation, intermediate consumption and ancillary output of corporations as ancillary producers by economic activity
- [97_187_DF_DCCN_CONTIEMATMREV2_1] Production activities
- [97_187_DF_DCCN_CONTIEMATMREV2_2] Households
- [97_187_DF_DCCN_CONTIEMATMREV2_3] Bridging items between NAMEA total and UNFCCC/CLRTAP total
- [97_187_DF_DCCN_CONTIEMATMREV2_4] Intensity of output and value added
- [97_187_DF_DCCN_CONTIEMATMREV2_5] Intensity of employment
- [98_197_DF_DCCN_PRODUTTIVITA_1] Main productivity indicators
- [98_197_DF_DCCN_PRODUTTIVITA_2] Contributions to growth of value added
- [98_197_DF_DCCN_PRODUTTIVITA_3] Contributions to growth of labour productivity
- [98_197_DF_DCCN_PRODUTTIVITA_4] Series for calculation of productivity
- [98_197_DF_DCCN_PRODUTTIVITA_5] Contributions of each industry to labour productivity growth
- [730_1049_DF_DCCN_OCCNSEC2010_B14_1] Employment in persons, full time equivalent, jobs and hours worked - editions from October 2014 to April 2019
- [730_1049_DF_DCCN_OCCNSEC2010_B14_2] Rate of undeclared work - editions from October 2014 to April 2019
- [730_1049_DF_DCCN_OCCNSEC2010_B14_3] Annual average population - editions from October 2014 to April 2019
- [730_1006_DF_DCCN_SQCN_B14_1] Sequence of accounts - editions from October 2014 to April 2019
- [730_1047_DF_DCCN_PILN_B14_1] Gross Domestic Product and main components - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_1] Output and value added by industry - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_2] Compensation of employees and its components by industry - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_3] Taxes and subsidies on production by industry - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_4] Gross fixed capital formation by asset and industry - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_5] Stocks of fixed assets and consumption of fixed capital by industry - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_6] Final consumption expenditure of household by expenditure item (Coicop 3 digit) and durability - editions from October 2014 to April 2019
- [730_1048_DF_DCCN_ANA_B14_7] Per capita values - editions from October 2014 to April 2019
- [732_1051_DF_DCCN_SQCQ_B14_3] Gross domestic product and growth rates (preliminary estimate) - editions from May 2016 to July 2019
- [732_1052_DF_DCCN_PILQ_B14_1] Gross Domestic Product and main components - editions from October 2014 to August 2019
- [732_1053_DF_DCCN_QNA_B14_1] Value added by industry - editions from October 2014 to August 2019
- [732_1053_DF_DCCN_QNA_B14_2] Gross fixed capital formation by asset - editions from October 2014 to August 2019
- [732_1053_DF_DCCN_QNA_B14_3] Final consumption expenditure of households - editions from October 2014 to August 2019
- [732_1053_DF_DCCN_QNA_B14_4] Final consumption expenditure of households by expenditure item (Coicop 2 digit) and durability - editions from October 2014 to August 2019
- [732_1053_DF_DCCN_QNA_B14_5] Compensation of employees and its components by industry - editions from October 2014 to August 2019
- [732_1053_DF_DCCN_QNA_B14_6] Costs and margins by industry - editions from December 2014 to August 2019
- [737_1087_DF_DCCN_OCCTSEC2010_B14_1] Employment - regions - editions from October 2012 to December 2018
- [737_1087_DF_DCCN_OCCTSEC2010_B14_2] Employment - provinces - editions from October 2012 to December 2018
- [737_1087_DF_DCCN_OCCTSEC2010_B14_3] Rate of undeclared work - editions from October 2012 to December 2018
- [737_1087_DF_DCCN_OCCTSEC2010_B14_4] Annual average population - editions from October 2012 to December 2018
- [737_1082_DF_DCCN_SQCT_B14_1] Sequence of accounts - editions from October 2012 to December 2018
- [737_1083_DF_DCCN_PILT_B14_1] Gross domestic product supply side - editions from October 2012 to December 2018
- [737_1084_DF_DCCN_TNA_B14_1] Value added by industry - editions from October 2012 to December 2018
- [737_1084_DF_DCCN_TNA_B14_2] Compensation of employees and its components by industry- editions from October 2012 to December 2018
- [737_1084_DF_DCCN_TNA_B14_3] Final consumption expenditure of households by expenditure item (Coicop 2 digit) and durability - editions from October 2012 to December 2018
- [737_1084_DF_DCCN_TNA_B14_4] Final consumption expenditure of general government by function - editions from October 2012 to December 2018
- [737_1084_DF_DCCN_TNA_B14_5] Gross fixed capital formation breakdown by industry - editions from October 2012 to December 2018
- [737_1084_DF_DCCN_TNA_B14_6] Per capita values - editions from October 2012 to December 2018
- [737_1093_DF_DCCN_ISTITUZ_TNA_B14_1] Disposable income of the households in the italian regions - editions from November 2015 to december 2018
- [733_1055_DF_DCCN_ISTITUZ_ANA_B14_1] Sequence of accounts - editions from October 2015 to April 2019
- [733_1055_DF_DCCN_ISTITUZ_ANA_B14_2] Key indicators on households as consumers and non-financial corporations - editions from October 2015 to April 2019
- [733_1055_DF_DCCN_ISTITUZ_ANA_B14_3] Non-financial assets - editions from March 2015 to December 2018
- [733_1056_DF_DCCN_OCCSISEC2010_B14_1] Employment breakdown by industry - editions from October 2014 to April 2019
- [162_1058_DF_DCCN_ISTITUZ_QNA_B14_1] Sequence of accounts - editions from October 2014 to June 2019
- [162_1058_DF_DCCN_ISTITUZ_QNA_B14_2] Key indicators on households and non-financial corporations - editions from October 2016 to June 2019
- [162_1058_DF_DCCN_ISTITUZ_QNA_B14_3] Seasonal adjusted aggregates - editions from October 2018 to June 2019
- [734_1060_DF_DCCN_FPA_B14_1] Economic account by subsector - editions from October 2015 to April 2019
- [734_1060_DF_DCCN_FPA_B14_2] Indicators (GDP ratio) - editions from May 2016 to April 2019
- [734_1060_DF_DCCN_FPA_B14_3] Compensation of employees, wages and salaries per capita by subsector - editions from April 2017 to April 2019
- [734_1060_DF_DCCN_FPA_B14_4] Gross fixed capital formation by subsector - editions from May 2016 to April 2019
- [734_1060_DF_DCCN_FPA_B14_5] Taxes and social contributions by subsector - editions from April 2017 to April 2019
- [734_1060_DF_DCCN_FPA_B14_6] Generation of final consumption expenditure - editions from April 2017 to April 2019
- [669_1081_DF_DCCN_PEFA_B14_1] Supply and use: scheme - December 2018 edition
- [669_1081_DF_DCCN_PEFA_B14_2] Supply by activity and energy flow - December 2018 edition
- [669_1081_DF_DCCN_PEFA_B14_3] Use by activity and energy flow - December 2018 edition
- [669_1081_DF_DCCN_PEFA_B14_4] Emission-relevant use by activity and energy flow (related to fuel combustion) - December 2018 edition
- [669_1081_DF_DCCN_PEFA_B14_5] Vectors of key energy indicators - December 2018 edition
- [669_1081_DF_DCCN_PEFA_B14_6] Bridge table: energy consumption - December 2018 edition
- [669_1113_DF_DCCN_SPESAPROTAMB_B14_1] National expenditure - April 2018 and January 2019 editions
- [669_1113_DF_DCCN_SPESAPROTAMB_B14_2] Economic aggregates by institutional sector - April 2018 and January 2019 editions
- [669_1113_DF_DCCN_SPESAPROTAMB_B14_3] Gross fixed capital formation and ancillary output of corporations as ancillary - April 2018 and January 2019 editions
- [669_1080_DF_DCCN_CONTIEMATMREV2_B14_1] Production activities - editions from November 2014 to November 2018
- [669_1080_DF_DCCN_CONTIEMATMREV2_B14_2] Households - editions from November 2014 to November 2018
- [669_1080_DF_DCCN_CONTIEMATMREV2_B14_3] Bridging items between NAMEA total and UNFCCC/CLRTAP total - editions from November 2014 to November 2018
- [669_1080_DF_DCCN_CONTIEMATMREV2_B14_4] Intensity of output and value added - editions from November 2014 to November 2018
- [669_1080_DF_DCCN_CONTIEMATMREV2_B14_5] Intensity of employment - editions from November 2014 to November 2018
- [669_1073_DF_DCCN_IMPAMB1_B14_1] Tax category - editions from December 2014 to October 2018
- [669_1073_DF_DCCN_IMPAMB1_B14_2] Paying unit - editions from December 2014 to October 2018
- [669_1073_DF_DCCN_IMPAMB1_B14_3] Taxes paid by economic activity - editions from December 2014 to October 2018
- [669_1073_DF_DCCN_IMPAMB1_B14_4] CEPA class - editions from December 2014 to October 2018
- [669_1073_DF_DCCN_IMPAMB1_B14_5] Use of the tax revenue - editions from December 2014 to October 2018
- [669_1116_DF_DCCN_FLUMAT_B14_1] Economy-wide material flow indicators - editions from January 2016 to February 2019
- [669_1116_DF_DCCN_FLUMAT_B14_2] Domestic extraction of used materials (editions from January 2016 to February 2019)
- [669_1116_DF_DCCN_FLUMAT_B14_3] Exchanges with the rest of the world - editions from January 2016 to February 2019
- [98_1066_DF_DCCN_PRODUTTIVITA_B14_1] Main productivity indicators - editions from March 2015 to March 2019
- [98_1066_DF_DCCN_PRODUTTIVITA_B14_2] Contributions to growth of value added - editions from March 2015 to March 2019
- [98_1066_DF_DCCN_PRODUTTIVITA_B14_3] Contributions to growth of labour productivity - editions from March 2015 to March 2019
- [98_1066_DF_DCCN_PRODUTTIVITA_B14_4] Series for calculation of productivity - editions from March 2015 to March 2019
- [98_1066_DF_DCCN_PRODUTTIVITA_B14_5] Contributions of each industry to labour productivity growth - editions from March 2015 to March 2019
- [760_1140_DF_DCCN_SHA_B14_1] Health expenditure by health care function and financing scheme- editions June 2018 and June 2019
- [760_1140_DF_DCCN_SHA_B14_2] Health expenditure by health care function and health care provider - editions June 2018 and June 2019
- [760_1140_DF_DCCN_SHA_B14_3] Health expenditure by health care provider and financing scheme - editions June 2018 and June 2019
- [32_292_DF_DCCV_REDNETFAMFONTERED_1] Household size
- [32_292_DF_DCCV_REDNETFAMFONTERED_2] Household type
- [32_292_DF_DCCV_REDNETFAMFONTERED_3] Children under 18 living in household
- [32_292_DF_DCCV_REDNETFAMFONTERED_4] Elderly over 65 living in household
- [32_292_DF_DCCV_REDNETFAMFONTERED_5] Sex of main income earner
- [32_292_DF_DCCV_REDNETFAMFONTERED_6] Age class of main income earner
- [32_292_DF_DCCV_REDNETFAMFONTERED_7] Educational level of main income earner
- [32_292_DF_DCCV_REDNETFAMFONTERED_8] Professional status of main income earner
- [32_292_DF_DCCV_REDNETFAMFONTERED_9] Regions and type of municipality
- [32_223_DF_DCCV_FONTEPRED_1] Household size
- [32_223_DF_DCCV_FONTEPRED_2] Household type
- [32_223_DF_DCCV_FONTEPRED_3] Children under 18 andcelderly over 65 in family
- [32_223_DF_DCCV_FONTEPRED_4] Sex and age of main income earner
- [32_223_DF_DCCV_FONTEPRED_5] Educational level and professional status of main income earner
- [32_223_DF_DCCV_FONTEPRED_6] Regions and type of municipality
- [32_38_DF_DCCV_QUINTOREDD_1] Household size
- [32_38_DF_DCCV_QUINTOREDD_2] Household type
- [32_38_DF_DCCV_QUINTOREDD_3] Children under 18 and elderly over 65 in family
- [32_38_DF_DCCV_QUINTOREDD_4] Sex and age of main income earner
- [32_38_DF_DCCV_QUINTOREDD_5] Educational level and professional status of main income earner
- [32_38_DF_DCCV_QUINTOREDD_6] Regions and type of municipality
- [82_87_DF_DCCV_AVQ_FAMIGLIE_13] Perception of the economic condition - number of components
- [82_87_DF_DCCV_AVQ_FAMIGLIE_14] Perception of the economic condition - reg. and type of municipality
- [82_87_DF_DCCV_AVQ_FAMIGLIE_15] Ownership of durable goods - reg. and type of municipality
- [31_739_DF_DCCV_SPEMEFAM_1] Change in consumption expenditure behaviour (2018-2021)
- [31_739_DF_DCCV_SPEMEFAM_2] Change in consumption expenditure behaviour (2014-2017)
- [31_739_DF_DCCV_SPEMEFAM_3] Household size
- [31_739_DF_DCCV_SPEMEFAM_4] Household type
- [31_739_DF_DCCV_SPEMEFAM_5] Highest level of education attained by the reference person
- [31_739_DF_DCCV_SPEMEFAM_6] Professional condition of the reference person
- [31_739_DF_DCCV_SPEMEFAM_7] Expenditure quantile
- [31_739_DF_DCCV_SPEMEFAM_8] Expenditure item (ECoicop)
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_1] Change in consumption expenditure behaviour (since 2018)
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_3] Household size
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_4] Household type
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_5] Highest level of education attained by the reference person
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_6] Professional condition of the reference person
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_7] Expenditure quantile
- [31_740_DF_DCCV_SPEMEFAM_COICOP_2018_8] Expenditure item (Coicop 2018)
- [31_739_DF_DCCV_SPEMEFAM_1] Change in consumption expenditure (from 2018)
- [31_739_DF_DCCV_SPEMEFAM_2] Change in consumption expenditure (from 2014 to 2017)
- [31_739_DF_DCCV_SPEMEFAM_3] Household size
- [31_739_DF_DCCV_SPEMEFAM_4] Household type
- [31_739_DF_DCCV_SPEMEFAM_5] Level of education attained by the reference person
- [31_739_DF_DCCV_SPEMEFAM_6] Professional condition of the reference person
- [31_739_DF_DCCV_SPEMEFAM_7] Expenditure quantile
- [31_739_DF_DCCV_SPEMEFAM_8] Expenditure item (ECoicop)
- [498_1104_DF_DCCV_RISKPOV_10] Household type
- [498_1104_DF_DCCV_RISKPOV_11] Main source of income
- [498_1104_DF_DCCV_RISKPOV_12] Children under 18 and elderly over 65 in family
- [498_1104_DF_DCCV_RISKPOV_13] Sex and age of main income earner
- [498_1104_DF_DCCV_RISKPOV_14] Educational level and professional status of main income earner
- [498_1104_DF_DCCV_RISKPOV_15] Citizenship of the main earner
- [498_1104_DF_DCCV_RISKPOV_16] Geographical area and type of municipality
- [498_1104_DF_DCCV_RISKPOV_9] Household number of components
- [498_1104_DF_DCCV_RISKPOV_1] Household number of components
- [498_1104_DF_DCCV_RISKPOV_2] Household type
- [498_1104_DF_DCCV_RISKPOV_3] Main source of income
- [498_1104_DF_DCCV_RISKPOV_4] Children under 18 and elderly over 65 in family
- [498_1104_DF_DCCV_RISKPOV_5] Sex and age of main income earner
- [498_1104_DF_DCCV_RISKPOV_6] Educational level and professional status of main income earner
- [498_1104_DF_DCCV_RISKPOV_7] Citizenship of the main earner
- [498_1104_DF_DCCV_RISKPOV_8] Geographical area and type of municipality
- [34_215_DF_DCCV_ARRETRATI_1] Household size
- [34_215_DF_DCCV_ARRETRATI_2] Household type
- [34_215_DF_DCCV_ARRETRATI_3] Children under 18 and elderly over 65 in family
- [34_215_DF_DCCV_ARRETRATI_4] Sex and age of main income earner
- [34_215_DF_DCCV_ARRETRATI_5] Educational level and professional status of main income earner
- [34_215_DF_DCCV_ARRETRATI_6] Geographical area and type of municipalities
- [34_216_DF_DCCV_IMPREV_1] Household size
- [34_216_DF_DCCV_IMPREV_2] Household type
- [34_216_DF_DCCV_IMPREV_3] Children under 18 and elderly over 65 in family
- [34_216_DF_DCCV_IMPREV_4] Sex and age of main income earner
- [34_216_DF_DCCV_IMPREV_5] Educational level and professional status of main income earner
- [34_216_DF_DCCV_IMPREV_6] Geographical area, regions and type of municipality
- [34_217_DF_DCCV_CARICOPES_1] Household size
- [34_217_DF_DCCV_CARICOPES_2] Type of household
- [34_217_DF_DCCV_CARICOPES_3] Children under 18 and elderly over 65 in family
- [34_217_DF_DCCV_CARICOPES_4] Sex and age of main income earner
- [34_217_DF_DCCV_CARICOPES_5] Educational level and professional status of main income earner
- [34_217_DF_DCCV_CARICOPES_6] Geographical areas and type of municipality
- [34_218_DF_DCCV_DIFFBENDUR_1] Household size
- [34_218_DF_DCCV_DIFFBENDUR_2] Type of household
- [34_218_DF_DCCV_DIFFBENDUR_3] Children under 18 and elderly over 65 in family
- [34_218_DF_DCCV_DIFFBENDUR_4] Sex and age of main income earner
- [34_218_DF_DCCV_DIFFBENDUR_5] Educational level and professional status of main income earner
- [34_218_DF_DCCV_DIFFBENDUR_6] Geographical areas and type of municipality
- [34_220_DF_DCCV_REDDFINMES_1] Household size
- [34_220_DF_DCCV_REDDFINMES_2] Type of household
- [34_220_DF_DCCV_REDDFINMES_3] Children under 18 and elderly over 65 in family
- [34_220_DF_DCCV_REDDFINMES_4] Sex and age of main income earner
- [34_220_DF_DCCV_REDDFINMES_5] Educational level and professional status of main income earner
- [34_220_DF_DCCV_REDDFINMES_6] Geographical areas and type of municipality
- [34_226_DF_PERCEPIT_1] Household size
- [34_226_DF_PERCEPIT_2] Type of household
- [34_226_DF_PERCEPIT_3] Children under 18 and elderly over 65 in family
- [34_226_DF_PERCEPIT_4] Sex and age of main income earner
- [34_226_DF_PERCEPIT_5] Educational level and professional status of main income earner
- [34_226_DF_PERCEPIT_6] Geographical area, regions and type of municipality
- [34_280_DF_DCCV_FAMNOVOCISPESA_1] Household size
- [34_280_DF_DCCV_FAMNOVOCISPESA_2] Type of household
- [34_280_DF_DCCV_FAMNOVOCISPESA_3] Children under 18 and elderly over 65 in family
- [34_280_DF_DCCV_FAMNOVOCISPESA_4] Sex and age of main income earner
- [34_280_DF_DCCV_FAMNOVOCISPESA_5] Educational level and professional status of main income earner
- [34_280_DF_DCCV_FAMNOVOCISPESA_6] Geographical areas and type of municipality
- [34_219_DF_DCCV_NOSOLDI_1] Household size
- [34_219_DF_DCCV_NOSOLDI_2] Type of household
- [34_219_DF_DCCV_NOSOLDI_3] Children under 18 and elderly over 65 in family
- [34_219_DF_DCCV_NOSOLDI_4] Sex and age of main income earner
- [34_219_DF_DCCV_NOSOLDI_5] Educational level and professional status of main income earner
- [34_219_DF_DCCV_NOSOLDI_6] Geographical areas and type of municipality
- [34_727_DF_DCCV_POVERTA_12] Data summary
- [34_727_DF_DCCV_POVERTA_13] Poor households - household size
- [34_727_DF_DCCV_POVERTA_14] Poor households -household typology
- [34_727_DF_DCCV_POVERTA_15] Poor households - age of the reference person
- [34_727_DF_DCCV_POVERTA_16] Poor households - professional condition of the reference person
- [34_727_DF_DCCV_POVERTA_17] Poor households - level of education attained by the reference person
- [34_727_DF_DCCV_POVERTA_18] Poor households - regions
- [34_727_DF_DCCV_POVERTA_19] Poor individuals - sex and age
- [34_727_DF_DCCV_POVERTA_20] Lines and thresholds of relative poverty
- [34_727_DF_DCCV_POVERTA_10] Poor individuals - region residence
- [34_727_DF_DCCV_POVERTA_11] Lines and thresholds of relative poverty
- [34_727_DF_DCCV_POVERTA_1] Main indicators
- [34_727_DF_DCCV_POVERTA_2] Poor households - household size
- [34_727_DF_DCCV_POVERTA_3] Poor households - household typology
- [34_727_DF_DCCV_POVERTA_4] Poor households - age of the reference person
- [34_727_DF_DCCV_POVERTA_5] Poor households - professional condition of the reference person
- [34_727_DF_DCCV_POVERTA_6] Poor households - level of education attained by the reference person
- [34_727_DF_DCCV_POVERTA_7] Poor households - type of municipality residence
- [34_727_DF_DCCV_POVERTA_8] Poor households - region residence
- [34_727_DF_DCCV_POVERTA_9] Poor individuals - sex and age
- [34_211_DF_DCCV_SOGLIAPOVA_2] Absolute poverty threshold
- [34_178_DF_DCCV_INCPOVAFAM_1] Data by number of components
- [34_178_DF_DCCV_INCPOVAFAM_2] Data by household typology
- [34_178_DF_DCCV_INCPOVAFAM_3] Data by household with minor children
- [34_178_DF_DCCV_INCPOVAFAM_4] Data by household with elderly components
- [34_178_DF_DCCV_INCPOVAFAM_5] Data by age of the reference person
- [34_178_DF_DCCV_INCPOVAFAM_6] Data by education level of the reference person
- [34_178_DF_DCCV_INCPOVAFAM_7] Data by occupation of the reference person
- [34_198_DF_DCCV_INCPOVRFAM_1] National and sub national data
- [34_198_DF_DCCV_INCPOVRFAM_2] Data by number of components
- [34_198_DF_DCCV_INCPOVRFAM_3] Data by household typology
- [34_198_DF_DCCV_INCPOVRFAM_4] Data by household with minor children
- [34_198_DF_DCCV_INCPOVRFAM_5] Data by household with elderly components
- [34_198_DF_DCCV_INCPOVRFAM_6] Data by age of the reference person
- [34_198_DF_DCCV_INCPOVRFAM_7] Data by education level of the reference person
- [34_198_DF_DCCV_INCPOVRFAM_8] Data by occupation of the reference person
- [34_201_DF_DCCV_INDPOVASS_1] Absolute poverty indicators
- [34_202_DF_DCCV_INDPOVREL_1] Relative poverty indicators
- [34_204_DF_DCCV_INTPOVAFAM_1] Household absolute poverty intensity
- [34_205_DF_DCCV_INTPOVRFAM_1] Household relative poverty intensity
- [34_211_DF_DCCV_SOGLIAPOVA_1] Absolute poverty threshold
- [34_212_DF_DCCV_SOGLIAPOVR_1] Relative poverty threshold
- [34_727_DF_DCCV_POVERTA_21] Data summary
- [34_727_DF_DCCV_POVERTA_22] Poor households - household size
- [34_727_DF_DCCV_POVERTA_23] Poor households - household typology
- [34_727_DF_DCCV_POVERTA_24] Poor households - age of the reference person
- [34_727_DF_DCCV_POVERTA_25] Poor households - professional condition of the reference person
- [34_727_DF_DCCV_POVERTA_26] Poor households - level of education attained by the reference person
- [34_727_DF_DCCV_POVERTA_27] Poor households - type of municipality residence
- [34_727_DF_DCCV_POVERTA_28] Poor households - region residence
- [34_727_DF_DCCV_POVERTA_29] Poor individuals - sex and age
- [34_727_DF_DCCV_POVERTA_30] Poor individuals - region residence
- [34_727_DF_DCCV_POVERTA_31] Lines and thresholds of relative poverty
- [34_728_DF_DCCV_POVERTA_BRKN1_1] Poor households - socio-demographic characteristics
- [34_728_DF_DCCV_POVERTA_BRKN1_2] Poor households - region residence
- [34_728_DF_DCCV_POVERTA_BRKN1_3] Poor households - type of municipality residence
- [34_728_DF_DCCV_POVERTA_BRKN1_4] Poor individuals - region residence
- [34_728_DF_DCCV_POVERTA_BRKN1_5] Poor individuals - sex and age
- [34_728_DF_DCCV_POVERTA_BRKN1_6] Lines and thresholds of relative poverty
- [34_728_DF_DCCV_POVERTA_BRKN1_7] Main indicators
- [34_201_DF_DCCV_INDPOVASS_1] Absolute poverty indicators
- [34_202_DF_DCCV_INDPOVREL_1] Relative poverty indicators
- [34_204_DF_DCCV_INTPOVAFAM_1] Household absolute poverty intensity
- [34_205_DF_DCCV_INTPOVRFAM_1] Household relative poverty intensity
- [34_211_DF_DCCV_SOGLIAPOVA_1] Absolute poverty threshold
- [34_212_DF_DCCV_SOGLIAPOVR_1] Relative poverty threshold
- [33_225_DF_DCCV_ABITSPESA_1] Tenure status
- [33_225_DF_DCCV_ABITSPESA_2] Household size and household type
- [33_225_DF_DCCV_ABITSPESA_3] Children under 18 and elderly over 65 living in household
- [33_225_DF_DCCV_ABITSPESA_4] Sex and age class of main income earner
- [33_225_DF_DCCV_ABITSPESA_5] Educational level and professional status of main income earner
- [33_225_DF_DCCV_ABITSPESA_6] Regions and type of municipality
- [33_179_DF_DCCV_ABITAFFOLL_1] Household size and household type
- [33_179_DF_DCCV_ABITAFFOLL_2] Children under 18 and elderly over 65 living in household
- [33_179_DF_DCCV_ABITAFFOLL_3] Sex and age class of main income earner
- [33_179_DF_DCCV_ABITAFFOLL_4] Educational level and professional status of main income earner
- [33_179_DF_DCCV_ABITAFFOLL_5] Household income level and tenure status
- [33_179_DF_DCCV_ABITAFFOLL_6] Regions and type of municipality
- [33_4_DF_DCCV_ABITPROBL_1] Household size and household type
- [33_4_DF_DCCV_ABITPROBL_2] Children under 18 and elderly over 65 living in household
- [33_4_DF_DCCV_ABITPROBL_3] Sex and age class of main income earner
- [33_4_DF_DCCV_ABITPROBL_4] Educational level and professional status of main income earner
- [33_4_DF_DCCV_ABITPROBL_5] Household income level and tenure status
- [33_4_DF_DCCV_ABITPROBL_6] Regions and type of municipality
- [33_290_DF_DCCV_TITGODABIT_1] Household size and household type
- [33_290_DF_DCCV_TITGODABIT_2] Children under 18 enderly over 65 in household
- [33_290_DF_DCCV_TITGODABIT_3] Sex and age class of main income earner
- [33_290_DF_DCCV_TITGODABIT_4] Educational level and professional status of main income earner
- [33_290_DF_DCCV_TITGODABIT_5] Household income level (Fifth of equivalent household income)
- [33_290_DF_DCCV_TITGODABIT_6] Regions and type of municipality
- [30_264_DF_DCSC_FIDCONS_10] Raw and seasonally adjusted confidence indicator - national and geographical areas levels (base 2010=100)
- [30_264_DF_DCSC_FIDCONS_11] Monthly seasonally adjusted and not seasonally adjusted balances - national and geographical areas levels
- [30_264_DF_DCSC_FIDCONS_12] Monthly raw balances by age
- [30_264_DF_DCSC_FIDCONS_13] Monthly raw balances by sex
- [30_264_DF_DCSC_FIDCONS_14] Monthly raw balances by education
- [30_264_DF_DCSC_FIDCONS_15] Monthly raw balances by occupation
- [30_264_DF_DCSC_FIDCONS_16] Monthly not seasonally adjusted questions - national level
- [30_264_DF_DCSC_FIDCONS_17] Spending intentions - quarterly raw questions and balances from january 2006 - national level
- [30_264_DF_DCSC_FIDCONS_18] Spending intentions - monthly raw questions and balances until december 2005 - national level
- [30_264_DF_DCSC_FIDCONS_1] Raw climate indicators (base 2021=100) - Raw and seasonal adjusted climate indicators (base 2010=100) - national and geographical areas levels
- [30_264_DF_DCSC_FIDCONS_2] Monthly raw balances - national and geographical areas levels
- [30_264_DF_DCSC_FIDCONS_3] Monthly raw balances by age
- [30_264_DF_DCSC_FIDCONS_4] Monthly raw balances by sex
- [30_264_DF_DCSC_FIDCONS_5] Monthly raw balances by education
- [30_264_DF_DCSC_FIDCONS_6] Monthly raw balances by occupation
- [30_264_DF_DCSC_FIDCONS_7] Monthly not seasonally adjusted questions- national level
- [30_264_DF_DCSC_FIDCONS_8] Spending intentions - quarterly raw questions and balances from january 2006 - national level
- [30_264_DF_DCSC_FIDCONS_9] Spending intensions - monthly raw questions and balances from 1998 to december 2005 - national level
- [22_289_DF_DCIS_POPRES1_10] Friuli Venezia Giulia
- [22_289_DF_DCIS_POPRES1_11] Emilia Romagna
- [22_289_DF_DCIS_POPRES1_12] Toscana
- [22_289_DF_DCIS_POPRES1_13] Umbria
- [22_289_DF_DCIS_POPRES1_14] Marche
- [22_289_DF_DCIS_POPRES1_15] Lazio
- [22_289_DF_DCIS_POPRES1_16] Abruzzo
- [22_289_DF_DCIS_POPRES1_17] Molise
- [22_289_DF_DCIS_POPRES1_18] Campania
- [22_289_DF_DCIS_POPRES1_19] Puglia
- [22_289_DF_DCIS_POPRES1_20] Basilicata
- [22_289_DF_DCIS_POPRES1_21] Calabria
- [22_289_DF_DCIS_POPRES1_22] Sicilia
- [22_289_DF_DCIS_POPRES1_23] Sardegna
- [22_289_DF_DCIS_POPRES1_4] Valle d'Aosta/Vallée d'Aoste
- [22_289_DF_DCIS_POPRES1_5] Liguria
- [22_289_DF_DCIS_POPRES1_7] Provincia Autonoma Bolzano/Bozen
- [22_289_DF_DCIS_POPRES1_8] Provincia Autonoma Trento
- [22_289_DF_DCIS_POPRES1_9] Veneto
- [82_87_DF_DCCV_AVQ_FAMIGLIE_4] Single parents - gender, age, marital status
- [82_87_DF_DCCV_AVQ_FAMIGLIE_5] Single parents - gender, marital status, geographical areas
- [82_87_DF_DCCV_AVQ_FAMIGLIE_6] Single parents - regions and type of municipality
- [82_87_DF_DCCV_AVQ_FAMIGLIE_7] Single parents by number and age class of the children
- [272_1164_DF_DCCV_RELAZ_PARENT_1] Kinship by territory
- [272_1164_DF_DCCV_RELAZ_PARENT_2] Kinship - sex, age
- [272_1164_DF_DCCV_RELAZ_PARENT_3] Grandparents - age and living closeness
- [272_1164_DF_DCCV_RELAZ_PARENT_4] Grandparents - number and territory
- [272_1164_DF_DCCV_RELAZ_PARENT_5] Living closeness - territorial data
- [272_1164_DF_DCCV_RELAZ_PARENT_6] Living closeness - sex, age
- [272_1164_DF_DCCV_RELAZ_PARENT_7] Frequency of contacts by territory
- [272_1164_DF_DCCV_RELAZ_PARENT_8] Type and frequency of contact - sex, age
- [24_186_DF_DCIS_MATRDEMO_10] Piemonte
- [24_186_DF_DCIS_MATRDEMO_11] Valle d'Aosta/Vallée d'Aoste
- [24_186_DF_DCIS_MATRDEMO_12] Liguria
- [24_186_DF_DCIS_MATRDEMO_13] Lombardia
- [24_186_DF_DCIS_MATRDEMO_14] Provincia Autonoma Bolzano/Bozen
- [24_186_DF_DCIS_MATRDEMO_15] Provincia Autonoma Trento
- [24_186_DF_DCIS_MATRDEMO_16] Veneto
- [24_186_DF_DCIS_MATRDEMO_17] Friuli-Venezia Giulia
- [24_186_DF_DCIS_MATRDEMO_18] Emilia-Romagna
- [24_186_DF_DCIS_MATRDEMO_19] Toscana
- [24_186_DF_DCIS_MATRDEMO_20] Umbria
- [24_186_DF_DCIS_MATRDEMO_21] Marche
- [24_186_DF_DCIS_MATRDEMO_22] Lazio
- [24_186_DF_DCIS_MATRDEMO_23] Abruzzo
- [24_186_DF_DCIS_MATRDEMO_24] Molise
- [24_186_DF_DCIS_MATRDEMO_25] Campania
- [24_186_DF_DCIS_MATRDEMO_26] Puglia
- [24_186_DF_DCIS_MATRDEMO_27] Basilicata
- [24_186_DF_DCIS_MATRDEMO_28] Calabria
- [24_186_DF_DCIS_MATRDEMO_29] Sicilia
- [24_186_DF_DCIS_MATRDEMO_30] Sardegna
- [24_186_DF_DCIS_MATRDEMO_1] Rite (%)
- [24_186_DF_DCIS_MATRDEMO_2] Marital status (%)
- [24_186_DF_DCIS_MATRDEMO_4] Age class
- [24_186_DF_DCIS_MATRDEMO_7] Rite, month of celebration
- [24_186_DF_DCIS_MATRDEMO_8] Marital property system and education level
- [24_186_DF_DCIS_MATRDEMO_9] Type of municipality and rite
- [24_186_DF_DCIS_MATRDEMO_3] Age and marital status
- [24_386_DF_DCIS_MATRIMONI_SOC_1] Sector of economic activity, professional position
- [24_386_DF_DCIS_MATRIMONI_SOC_2] Marital property systems and professional status
- [24_386_DF_DCIS_MATRIMONI_SOC_3] Birth region
- [24_386_DF_DCIS_MATRIMONI_SOC_4] Residence region
- [24_386_DF_DCIS_MATRIMONI_SOC_5] Birth region of the bride and residence region of the bridegroom
- [24_386_DF_DCIS_MATRIMONI_SOC_6] Birth region of the bridegroom and residence region of the bride
- [24_446_DF_DCIS_MATRIMONICIT_1] Data summary
- [24_446_DF_DCIS_MATRIMONICIT_3] Type of couple and area of citizenship
- [24_446_DF_DCIS_MATRIMONICIT_7] Type of couple and education level
- [24_446_DF_DCIS_MATRIMONICIT_8] First or second marriages by type of couple
- [24_446_DF_DCIS_MATRIMONICIT_9] Rite and type of couple
- [24_446_DF_DCIS_MATRIMONICIT_2] Marriages by type of couple
- [24_446_DF_DCIS_MATRIMONICIT_4] Type of couple and country of citizenship
- [24_446_DF_DCIS_MATRIMONICIT_6] Marriages of spouses both foreigners for equality or otherwise of citizenship
- [24_1149_DF_DCIS_UNIONDEMO_1] Gender (%)
- [24_1149_DF_DCIS_UNIONDEMO_2] Marital status (%)
- [24_1149_DF_DCIS_UNIONDEMO_5] Month of constitution and sex
- [24_1149_DF_DCIS_UNIONDEMO_6] Marital property system and education level
- [24_1149_DF_DCIS_UNIONDEMO_7] Partners by age, year of birth and marital status
- [24_1151_DF_DCIS_UNIONISOC_1] Marital property systems and professional position
- [24_1151_DF_DCIS_UNIONISOC_2] Marital property systems and professional status
- [24_1151_DF_DCIS_UNIONISOC_3] Sex and professional position
- [24_1151_DF_DCIS_UNIONISOC_4] Sex and professional status
- [24_1151_DF_DCIS_UNIONISOC_5] Birth region
- [24_1151_DF_DCIS_UNIONISOC_6] Residence region
- [24_1151_DF_DCIS_UNIONISOC_7] Birth region of the partner 2 and residence region of the partner 1
- [24_1151_DF_DCIS_UNIONISOC_8] Birth region of the partner 1 and residence region of the partner 2
- [24_1152_DF_DCIS_UNIONICIT_1] Civil partnerships by sex and type of couple
- [24_1152_DF_DCIS_UNIONICIT_2] Civil partnerships with at least a foreign partner by area of citizenship
- [24_1152_DF_DCIS_UNIONICIT_3] Civil partnerships with at least a foreign partner by country of citizenship
- [24_1152_DF_DCIS_UNIONICIT_5] Both foreign partners by country of citizenship and comparison of citizenship
- [24_1152_DF_DCIS_UNIONICIT_6] Type of couple and education level
- [24_1152_DF_DCIS_UNIONICIT_7] Type of couple and marital status
- [25_74_DF_DCIS_NATI1_10] Father - Age and marital status (administrative centre level)
- [25_74_DF_DCIS_NATI1_11] Parents - Age (administrative centre level)
- [25_74_DF_DCIS_NATI1_12] Parents - Marital status (administrative centre level)
- [25_74_DF_DCIS_NATI1_7] Mother - Age class and marital status (administrative centre level)
- [25_74_DF_DCIS_NATI1_8] Mother - Age and citizenship
- [25_74_DF_DCIS_NATI1_9] Mother - Age and year of birth
- [25_74_DF_DCIS_NATI1_1] Series 2001 - last year
- [25_74_DF_DCIS_NATI1_2] Place of birth and residence
- [25_74_DF_DCIS_NATI1_3] Live births inside and out of wedlock
- [25_74_DF_DCIS_NATI1_4] Continent of foreign citizenship
- [25_74_DF_DCIS_NATI1_5] Continental macro-area of foreign citizenship
- [25_74_DF_DCIS_NATI1_6] Country of foreign citizenship
- [25_944_DF_DCIS_ARCH_FEC_1] Total fertility rate and age at childbirth
- [25_944_DF_DCIS_ARCH_FEC_2] Mothers age specific fertility rates
- [25_944_DF_DCIS_ARCH_FEC_3] Total fertility rate and age at childbirth by generation
- [25_944_DF_DCIS_ARCH_FEC_4] Mothers age specific fertility rates by generation
- [25_74_DF_DCIS_NATI2_2] Birth's sex and citizenship - prov.
- [25_74_DF_DCIS_NATI2_3] Continent of foreign citizenship - reg.
- [25_74_DF_DCIS_NATI2_4] Continental macro-area of foreign citizenship - reg.
- [25_74_DF_DCIS_NATI2_5] Country of foreign citizenship - reg.
- [25_74_DF_DCIS_NATI2_6] Live births inside and out of wedlock - prov.
- [27_467_DF_DCIS_SEPARAZDEMCONG1_1] Data summary
- [27_467_DF_DCIS_SEPARAZDEMCONG1_2] Place of birth
- [27_467_DF_DCIS_SEPARAZDEMCONG1_3] Place of residence
- [27_467_DF_DCIS_SEPARAZDEMCONG1_4] Age class at separation - spouses
- [27_467_DF_DCIS_SEPARAZDEMCONG1_5] Age class at separation - husband
- [27_467_DF_DCIS_SEPARAZDEMCONG1_6] Age class at separation - wife
- [27_467_DF_DCIS_SEPARAZDEMCONG1_7] Age class at marriage and year of marriage
- [27_467_DF_DCIS_SEPARAZDEMCONG1_8] Age class at marriage - husband
- [27_467_DF_DCIS_SEPARAZDEMCONG1_9] Age class at marriage - wife
- [27_469_DF_DCIS_SEPARAZFIG1_2] Type of judicial separation
- [27_469_DF_DCIS_SEPARAZFIG1_3] Type of proceedings and rite of marriage celebration
- [27_469_DF_DCIS_SEPARAZFIG1_4] Marriage duration
- [27_469_DF_DCIS_SEPARAZFIG1_5] Year of marriage and number of children
- [27_469_DF_DCIS_SEPARAZFIG1_6] Year of marriage and children in custody
- [27_469_DF_DCIS_SEPARAZFIG1_7] Children in custody
- [27_469_DF_DCIS_SEPARAZFIG1_10] Age and number of children in custody
- [27_469_DF_DCIS_SEPARAZFIG1_11] Age of children in custody
- [27_469_DF_DCIS_SEPARAZFIG1_12] Type of custody
- [27_469_DF_DCIS_SEPARAZFIG1_13] Number of children in custody
- [27_469_DF_DCIS_SEPARAZFIG1_8] Year of marriage
- [27_469_DF_DCIS_SEPARAZFIG1_9] Age of children in custody and type of custody
- [27_474_DF_DCIS_SEPARAZIND1_1] Review proceedings
- [27_474_DF_DCIS_SEPARAZIND1_2] Marriage and couple characteristics
- [27_474_DF_DCIS_SEPARAZIND1_3] Economic provisions for spouses
- [27_474_DF_DCIS_SEPARAZIND1_4] Economic provisions for children
- [27_474_DF_DCIS_SEPARAZIND1_5] Economic provisions for minor children
- [27_474_DF_DCIS_SEPARAZIND1_6] Family house assignement
- [27_470_DF_DCIS_DIVORDEMCONG1_1] Data summary
- [27_470_DF_DCIS_DIVORDEMCONG1_2] Place of birth
- [27_470_DF_DCIS_DIVORDEMCONG1_3] Place of residence
- [27_470_DF_DCIS_DIVORDEMCONG1_4] Age class at divorce - spouses
- [27_470_DF_DCIS_DIVORDEMCONG1_5] Age class at divorce - husband
- [27_470_DF_DCIS_DIVORDEMCONG1_6] Age class at divorce - wife
- [27_470_DF_DCIS_DIVORDEMCONG1_7] Age class at marriage and year of marriage
- [27_470_DF_DCIS_DIVORDEMCONG1_8] Age class at marriage - husband
- [27_470_DF_DCIS_DIVORDEMCONG1_9] Age class at marriage - wife
- [27_945_DF_DCIS_DIVFIG1_2] Period between separation and filing of divorce proceedings
- [27_945_DF_DCIS_DIVFIG1_3] Marriage duration
- [27_945_DF_DCIS_DIVFIG1_4] Year and rite of marriage celebration
- [27_945_DF_DCIS_DIVFIG1_5] Year of marriage and number of children
- [27_945_DF_DCIS_DIVFIG1_6] Year of marriage and children in custody
- [27_945_DF_DCIS_DIVFIG1_7] Children in custody
- [27_945_DF_DCIS_DIVFIG1_8] Spouse who presented the petition for divorce with judicial proceeding
- [27_945_DF_DCIS_DIVFIG1_10] Number of children in custody and type of custody
- [27_945_DF_DCIS_DIVFIG1_11] Age and number of children in custody
- [27_945_DF_DCIS_DIVFIG1_12] Age of children in custody
- [27_945_DF_DCIS_DIVFIG1_13] Type of custody
- [27_945_DF_DCIS_DIVFIG1_9] Year of marriage
- [27_946_DF_DCIS_DIVFIG1_14] Number of children in custody
- [27_946_DF_DCIS_DIVORZIND1_1] Proceedings and divorces
- [27_946_DF_DCIS_DIVORZIND1_2] Marriage and couple characteristics
- [27_946_DF_DCIS_DIVORZIND1_3] Economic provisions for spouses
- [27_946_DF_DCIS_DIVORZIND1_4] Economic provisions for children
- [27_946_DF_DCIS_DIVORZIND1_5] Economic provisions for minor children
- [27_946_DF_DCIS_DIVORZIND1_6] Family house assignement
- [27_384_DF_DCIS_SEPARAZDEMCONG_1] Data summary
- [27_384_DF_DCIS_SEPARAZDEMCONG_2] Place of birth
- [27_384_DF_DCIS_SEPARAZDEMCONG_3] Place of residence
- [27_384_DF_DCIS_SEPARAZDEMCONG_4] Age class at separation - spouses
- [27_384_DF_DCIS_SEPARAZDEMCONG_5] Age class at separation - husband
- [27_384_DF_DCIS_SEPARAZDEMCONG_6] Age class at separation - wife
- [27_384_DF_DCIS_SEPARAZDEMCONG_7] Age class at marriage and year of marriage
- [27_384_DF_DCIS_SEPARAZDEMCONG_8] Age class at marriage - husband
- [27_384_DF_DCIS_SEPARAZDEMCONG_9] Age class at marriage - wife
- [27_748_DF_DCIS_SEPARAZSOC_1] Spouses education level
- [27_748_DF_DCIS_SEPARAZSOC_2] Husband education level
- [27_748_DF_DCIS_SEPARAZSOC_3] Wife education level
- [27_748_DF_DCIS_SEPARAZSOC_4] Spouses labour status
- [27_748_DF_DCIS_SEPARAZSOC_5] Spouses professional status
- [27_748_DF_DCIS_SEPARAZSOC_6] Data summary
- [27_731_DF_DCIS_SEPARAZFIG_2] Type of judicial separation
- [27_731_DF_DCIS_SEPARAZFIG_3] Type of proceedings and rite of marriage celebration
- [27_731_DF_DCIS_SEPARAZFIG_4] Marriage duration
- [27_731_DF_DCIS_SEPARAZFIG_5] Year of marriage and number of children
- [27_731_DF_DCIS_SEPARAZFIG_6] Year of marriage and children in custody
- [27_731_DF_DCIS_SEPARAZFIG_7] Children in custody
- [27_731_DF_DCIS_SEPARAZFIG_10] Age and number of children in custody
- [27_731_DF_DCIS_SEPARAZFIG_11] Age of children in custody
- [27_731_DF_DCIS_SEPARAZFIG_12] Type of custody
- [27_731_DF_DCIS_SEPARAZFIG_13] Number of children in custody
- [27_731_DF_DCIS_SEPARAZFIG_8] Year of marriage
- [27_731_DF_DCIS_SEPARAZFIG_9] Age of children in custody and type of custody
- [27_349_DF_DCIS_SEPARAZIND_1] Review proceedings
- [27_349_DF_DCIS_SEPARAZIND_2] Marriage and couple characteristics
- [27_349_DF_DCIS_SEPARAZIND_3] Children
- [27_349_DF_DCIS_SEPARAZIND_4] Economic provisions
- [27_349_DF_DCIS_SEPARAZIND_5] Marriage and couple characteristics - synthesis
- [27_349_DF_DCIS_SEPARAZIND_6] Separations - Indicators by mixed couples
- [27_385_DF_DCIS_DIVORDEMCONG_1] Data summary
- [27_385_DF_DCIS_DIVORDEMCONG_2] Place of birth
- [27_385_DF_DCIS_DIVORDEMCONG_3] Place of residence
- [27_385_DF_DCIS_DIVORDEMCONG_4] Age class at divorce - spouses
- [27_385_DF_DCIS_DIVORDEMCONG_5] Age class at divorce - husband
- [27_385_DF_DCIS_DIVORDEMCONG_6] Age class at divorce - wife
- [27_385_DF_DCIS_DIVORDEMCONG_7] Age class at marriage and year of marriage
- [27_385_DF_DCIS_DIVORDEMCONG_8] Age class at marriage - husband
- [27_385_DF_DCIS_DIVORDEMCONG_9] Age class at marriage - wife
- [27_749_DF_DCIS_DIVSOC_1] Spouses education level
- [27_749_DF_DCIS_DIVSOC_2] Husband education level
- [27_749_DF_DCIS_DIVSOC_3] Wife education level
- [27_749_DF_DCIS_DIVSOC_4] Spouses labour status
- [27_749_DF_DCIS_DIVSOC_5] Spouses professional status
- [27_749_DF_DCIS_DIVSOC_6] Data summary
- [27_814_DF_DCIS_DIVFIG_10] Spouse who presented the petition for divorce with judicial proceeding
- [27_814_DF_DCIS_DIVFIG_2] Rite of proceedings
- [27_814_DF_DCIS_DIVFIG_3] Period between separation and filing of divorce proceedings
- [27_814_DF_DCIS_DIVFIG_4] Marriage duration
- [27_814_DF_DCIS_DIVFIG_5] Year of marriage and type of proceedings
- [27_814_DF_DCIS_DIVFIG_6] Type of proceedings
- [27_814_DF_DCIS_DIVFIG_7] Year of marriage and children in custody
- [27_814_DF_DCIS_DIVFIG_8] Children in custody
- [27_814_DF_DCIS_DIVFIG_9] Year of marriage and number of children
- [27_814_DF_DCIS_DIVFIG_11] Year of marriage
- [27_814_DF_DCIS_DIVFIG_12] Number of children in custody and type of custody
- [27_814_DF_DCIS_DIVFIG_13] Age and number of children in custody
- [27_814_DF_DCIS_DIVFIG_14] Age of children in custody
- [27_814_DF_DCIS_DIVFIG_15] Type of custody
- [27_814_DF_DCIS_DIVFIG_16] Number of children in custody
- [27_355_DF_DCIS_DIVORZIND_1] Proceedings and divorces
- [27_355_DF_DCIS_DIVORZIND_2] Marriage and couple characteristics
- [27_355_DF_DCIS_DIVORZIND_3] Children
- [27_355_DF_DCIS_DIVORZIND_4] Economic provisions
- [27_355_DF_DCIS_DIVORZIND_5] Marriage and couple characteristics
- [27_355_DF_DCIS_DIVORZIND_6] Divorces - Indicators for mixed couples
- [28_185_DF_DCIS_MIGRAZIONI_1] Internal migration - Italian and foreign
- [28_185_DF_DCIS_MIGRAZIONI_2] Immigrants - citizenship
- [28_185_DF_DCIS_MIGRAZIONI_3] Immigrants - country of origin
- [28_185_DF_DCIS_MIGRAZIONI_4] Immigrants - province of next residence
- [28_185_DF_DCIS_MIGRAZIONI_5] Emigrants - citizenship
- [28_185_DF_DCIS_MIGRAZIONI_6] Emigrants - countries of next residence
- [28_185_DF_DCIS_MIGRAZIONI_7] Emigrants - province of origin
- [29_7_DF_DCIS_POPSTRRES1_10] Emilia-Romagna
- [29_7_DF_DCIS_POPSTRRES1_11] Toscana
- [29_7_DF_DCIS_POPSTRRES1_12] Umbria
- [29_7_DF_DCIS_POPSTRRES1_13] Marche
- [29_7_DF_DCIS_POPSTRRES1_14] Lazio
- [29_7_DF_DCIS_POPSTRRES1_15] Abruzzo
- [29_7_DF_DCIS_POPSTRRES1_16] Molise
- [29_7_DF_DCIS_POPSTRRES1_17] Campania
- [29_7_DF_DCIS_POPSTRRES1_18] Puglia
- [29_7_DF_DCIS_POPSTRRES1_19] Basilicata
- [29_7_DF_DCIS_POPSTRRES1_20] Calabria
- [29_7_DF_DCIS_POPSTRRES1_21] Sicilia
- [29_7_DF_DCIS_POPSTRRES1_22] Sardegna
- [29_7_DF_DCIS_POPSTRRES1_2] Piemonte
- [29_7_DF_DCIS_POPSTRRES1_3] Valle d'Aosta/Vallée d'Aoste
- [29_7_DF_DCIS_POPSTRRES1_4] Liguria
- [29_7_DF_DCIS_POPSTRRES1_5] Lombardia
- [29_7_DF_DCIS_POPSTRRES1_6] Provincia Autonoma Bolzano/Bozen
- [29_7_DF_DCIS_POPSTRRES1_7] Provincia Autonoma Trento
- [29_7_DF_DCIS_POPSTRRES1_8] Veneto
- [29_7_DF_DCIS_POPSTRRES1_9] Friuli-Venezia Giulia
- [29_317_DF_DCIS_POPSTRCIT1_10] Emilia-Romagna
- [29_317_DF_DCIS_POPSTRCIT1_11] Toscana
- [29_317_DF_DCIS_POPSTRCIT1_12] Umbria
- [29_317_DF_DCIS_POPSTRCIT1_13] Marche
- [29_317_DF_DCIS_POPSTRCIT1_14] Lazio
- [29_317_DF_DCIS_POPSTRCIT1_15] Abruzzo
- [29_317_DF_DCIS_POPSTRCIT1_16] Molise
- [29_317_DF_DCIS_POPSTRCIT1_17] Campania
- [29_317_DF_DCIS_POPSTRCIT1_18] Puglia
- [29_317_DF_DCIS_POPSTRCIT1_19] Basilicata
- [29_317_DF_DCIS_POPSTRCIT1_20] Calabria
- [29_317_DF_DCIS_POPSTRCIT1_21] Sicilia
- [29_317_DF_DCIS_POPSTRCIT1_22] Sardegna
- [29_317_DF_DCIS_POPSTRCIT1_2] Piemonte
- [29_317_DF_DCIS_POPSTRCIT1_3] Valle d'Aosta/Vallée d'Aoste
- [29_317_DF_DCIS_POPSTRCIT1_4] Liguria
- [29_317_DF_DCIS_POPSTRCIT1_5] Lombardia
- [29_317_DF_DCIS_POPSTRCIT1_6] Provincia Autonoma Bolzano/Bozen
- [29_317_DF_DCIS_POPSTRCIT1_7] Provincia Autonoma Trento
- [29_317_DF_DCIS_POPSTRCIT1_8] Veneto
- [29_317_DF_DCIS_POPSTRCIT1_9] Friuli-Venezia Giulia
- [29_316_DF_DCIS_POPSTRBIL1_10] Emilia-Romagna
- [29_316_DF_DCIS_POPSTRBIL1_11] Toscana
- [29_316_DF_DCIS_POPSTRBIL1_12] Umbria
- [29_316_DF_DCIS_POPSTRBIL1_13] Marche
- [29_316_DF_DCIS_POPSTRBIL1_14] Lazio
- [29_316_DF_DCIS_POPSTRBIL1_15] Abruzzo
- [29_316_DF_DCIS_POPSTRBIL1_17] Campania
- [29_316_DF_DCIS_POPSTRBIL1_18] Puglia
- [29_316_DF_DCIS_POPSTRBIL1_19] Basilicata
- [29_316_DF_DCIS_POPSTRBIL1_20] Calabria
- [29_316_DF_DCIS_POPSTRBIL1_21] Sicilia
- [29_316_DF_DCIS_POPSTRBIL1_22] Sardegna
- [29_316_DF_DCIS_POPSTRBIL1_2] Piemonte
- [29_316_DF_DCIS_POPSTRBIL1_3] Valle d'Aosta/Vallée d'Aoste
- [29_316_DF_DCIS_POPSTRBIL1_4] Liguria
- [29_316_DF_DCIS_POPSTRBIL1_5] Lombardia
- [29_316_DF_DCIS_POPSTRBIL1_6] Provincia Autonoma Bolzano/Bozen
- [29_316_DF_DCIS_POPSTRBIL1_7] Provincia Autonoma Trento
- [29_316_DF_DCIS_POPSTRBIL1_8] Veneto
- [29_316_DF_DCIS_POPSTRBIL1_9] Friuli-Venezia Giulia
- [29_316_DF_DCIS_POPSTRBIL1_16] Molise
- [29_956_DF_DCIS_CV_STRA_10] Mother tongue
- [29_956_DF_DCIS_CV_STRA_11] Use of italian language in household and with friends, gender and age
- [29_956_DF_DCIS_CV_STRA_12] Use of italian language in household and with friends, citizenship
- [29_956_DF_DCIS_CV_STRA_13] Use of italian language in household and with friends, presence in Italy
- [29_956_DF_DCIS_CV_STRA_14] Use of italian language in household and with friends and type of household
- [29_956_DF_DCIS_CV_STRA_15] Use of italian language of foreign citizen in couple
- [29_956_DF_DCIS_CV_STRA_16] Use of italian language, gender and age
- [29_956_DF_DCIS_CV_STRA_17] Use of italian language at work e citizenship
- [29_956_DF_DCIS_CV_STRA_18] Discriminations suffered, gender and age
- [29_956_DF_DCIS_CV_STRA_19] Discriminations suffered and citizenship
- [29_956_DF_DCIS_CV_STRA_20] Discriminations suffered and level of education
- [29_956_DF_DCIS_CV_STRA_21] Discriminations suffered and type of household
- [29_956_DF_DCIS_CV_STRA_22] Discriminations suffered by foreigners in couple
- [29_956_DF_DCIS_CV_STRA_23] Satisfaction with life and work, gender and age
- [29_956_DF_DCIS_CV_STRA_24] Satisfaction with life and work, citizenship
- [29_956_DF_DCIS_CV_STRA_25] Level of satisfaction, gender and age
- [29_956_DF_DCIS_CV_STRA_26] Level of satisfaction and citizenship
- [29_956_DF_DCIS_CV_STRA_27] Level of satisfaction and presence in Italy
- [29_956_DF_DCIS_CV_STRA_28] Level of satisfaction, level of education and labour status
- [29_956_DF_DCIS_CV_STRA_29] Level of satisfaction and type of household
- [29_956_DF_DCIS_CV_STRA_30] Level of satisfaction of foreign citizens in couple
- [29_956_DF_DCIS_CV_STRA_31] Level of satisfaction and discriminations suffered
- [29_956_DF_DCIS_CV_STRA_1] Citizenship and age
- [29_956_DF_DCIS_CV_STRA_2] Citizenship and presence in Italy
- [29_956_DF_DCIS_CV_STRA_3] Gender and presence in Italy
- [29_956_DF_DCIS_CV_STRA_4] Level of education and gender
- [29_956_DF_DCIS_CV_STRA_5] Type of household, citizenship and gender
- [29_956_DF_DCIS_CV_STRA_6] Type of household and presence in Italy
- [29_956_DF_DCIS_CV_STRA_7] Households with foreign citizens
- [29_956_DF_DCIS_CV_STRA_8] Couple composition and children families with foreign citizens
- [29_956_DF_DCIS_CV_STRA_9] Average age of foreign citizen in couple
- [29_348_DF_DCIS_PERMSOGG1_1] Type of residence permit and citizenship
- [29_348_DF_DCIS_PERMSOGG1_2] Type of residence permit and age class
- [29_348_DF_DCIS_PERMSOGG1_3] Type of residence permit and marital status
- [29_348_DF_DCIS_PERMSOGG1_4] Type of residence permit- prov
- [29_348_DF_DCIS_PERMSOGG1_5] Province and citizenship
- [29_348_DF_DCIS_PERMSOGG1_6] Province and age class
- [29_348_DF_DCIS_PERMSOGG1_7] Province and marital status
- [164_164_DF_DCIS_RICPOPRES2011_10] Friuli-Venezia Giulia
- [164_164_DF_DCIS_RICPOPRES2011_11] Emilia-Romagna
- [164_164_DF_DCIS_RICPOPRES2011_12] Toscana
- [164_164_DF_DCIS_RICPOPRES2011_13] Umbria
- [164_164_DF_DCIS_RICPOPRES2011_14] Marche
- [164_164_DF_DCIS_RICPOPRES2011_15] Lazio
- [164_164_DF_DCIS_RICPOPRES2011_16] Abruzzo
- [164_164_DF_DCIS_RICPOPRES2011_17] Molise
- [164_164_DF_DCIS_RICPOPRES2011_19] Puglia
- [164_164_DF_DCIS_RICPOPRES2011_20] Basilicata
- [164_164_DF_DCIS_RICPOPRES2011_23] Sardegna
- [164_164_DF_DCIS_RICPOPRES2011_4] Valle d'Aosta/Vallée d'Aoste
- [164_164_DF_DCIS_RICPOPRES2011_5] Liguria
- [164_164_DF_DCIS_RICPOPRES2011_7] Provincia Autonoma Bolzano/Bozen
- [164_164_DF_DCIS_RICPOPRES2011_8] Provincia Autonoma Trento
- [164_164_DF_DCIS_RICPOPRES2011_22] Sicilia
- [164_164_DF_DCIS_RICPOPRES2011_18] Campania
- [164_164_DF_DCIS_RICPOPRES2011_21] Calabria
- [164_305_DF_DCIS_RICPOPRES2001_10] Emilia Romagna
- [164_305_DF_DCIS_RICPOPRES2001_11] Toscana
- [164_305_DF_DCIS_RICPOPRES2001_12] Umbria
- [164_305_DF_DCIS_RICPOPRES2001_13] Marche
- [164_305_DF_DCIS_RICPOPRES2001_14] Lazio
- [164_305_DF_DCIS_RICPOPRES2001_15] Abruzzo
- [164_305_DF_DCIS_RICPOPRES2001_16] Molise
- [164_305_DF_DCIS_RICPOPRES2001_17] Campania
- [164_305_DF_DCIS_RICPOPRES2001_18] Puglia
- [164_305_DF_DCIS_RICPOPRES2001_19] Basilicata
- [164_305_DF_DCIS_RICPOPRES2001_20] Calabria
- [164_305_DF_DCIS_RICPOPRES2001_21] Sicilia
- [164_305_DF_DCIS_RICPOPRES2001_22] Sardegna
- [164_305_DF_DCIS_RICPOPRES2001_2] Piemonte
- [164_305_DF_DCIS_RICPOPRES2001_3] Valle d'Aosta/Vallée d'Aoste
- [164_305_DF_DCIS_RICPOPRES2001_4] Liguria
- [164_305_DF_DCIS_RICPOPRES2001_5] Lombardia
- [164_305_DF_DCIS_RICPOPRES2001_6] Provincia Autonoma Bolzano/Bozen
- [164_305_DF_DCIS_RICPOPRES2001_7] Provincia Autonoma Trento
- [164_305_DF_DCIS_RICPOPRES2001_8] Veneto
- [164_305_DF_DCIS_RICPOPRES2001_9] Friuli-Venezia Giulia
- [164_279_DF_DCIS_RICPOPRES1991_10] Emilia Romagna
- [164_279_DF_DCIS_RICPOPRES1991_11] Toscana
- [164_279_DF_DCIS_RICPOPRES1991_12] Umbria
- [164_279_DF_DCIS_RICPOPRES1991_13] Marche
- [164_279_DF_DCIS_RICPOPRES1991_14] Lazio
- [164_279_DF_DCIS_RICPOPRES1991_15] Abruzzo
- [164_279_DF_DCIS_RICPOPRES1991_16] Molise
- [164_279_DF_DCIS_RICPOPRES1991_17] Campania
- [164_279_DF_DCIS_RICPOPRES1991_18] Puglia
- [164_279_DF_DCIS_RICPOPRES1991_19] Basilicata
- [164_279_DF_DCIS_RICPOPRES1991_20] Calabria
- [164_279_DF_DCIS_RICPOPRES1991_21] Sicilia
- [164_279_DF_DCIS_RICPOPRES1991_22] Sardegna
- [164_279_DF_DCIS_RICPOPRES1991_2] Piemonte
- [164_279_DF_DCIS_RICPOPRES1991_3] Valle d'Aosta/Vallée d'Aoste
- [164_279_DF_DCIS_RICPOPRES1991_4] Liguria
- [164_279_DF_DCIS_RICPOPRES1991_5] Lombardia
- [164_279_DF_DCIS_RICPOPRES1991_6] Provincia Autonoma Bolzano/Bozen
- [164_279_DF_DCIS_RICPOPRES1991_7] Provincia Autonoma Trento
- [164_279_DF_DCIS_RICPOPRES1991_8] Veneto
- [164_279_DF_DCIS_RICPOPRES1991_9] Friuli-Venezia Giulia
- [27_468] Separations - Socio-professional characteristics
- [27_474] Separations - Indicators
- [27_475] Divorces - Socio-professional characteristics
- [27_946] Divorces - Indicators
- [27_467] Separations - Demographic characteristics
- [27_469] Separations - Characteristics and children
- [27_470] Divorces - Demographic characteristics
- [27_945] Divorces - Characteristics and children
- [34_178] Household absolute poverty incidence
- [34_198] Household relative poverty incidence
- [34_201] Absolute poverty indicators
- [34_202] Relative poverty indicators
- [34_204] Household absolute poverty intensity
- [34_205] Household relative poverty intensity
- [34_211] Absolute poverty threshold
- [34_212] Relative poverty threshold
- [34_727] Poverty new series
- [34_728] Poverty broken time series - 1997 -2021
- [34_215] Households with arreared paymentes
- [34_216] Households who can't afford to save or to face unexpected expenses
- [34_217] Households who believe too heavy some housing-costs or repayment of debts
- [34_218] Households who can't afford to purchase some durable goods
- [34_219] Households who do not have enough money for selected items
- [34_220] Households for minimum income needed to make ends meet
- [34_226] Households by ability to make ends meet
- [34_280] Households who do not afford to buy selected items
- [498_1104] People at risk of poverty or social exclusion
- [612_933] University graduates - Socio-demographic characteristics and curriculum
- [613_934] High school graduates - socio-demographic characteristics and curriculum
- [613_935] High school graduates - employment conditions and remuneration
- [613_936] High school graduates - seeking a job
- [612_937] University graduates - job search
- [612_939] University graduates - occupational status
- [392_585] PhD graduates - wage and hours worked
- [392_586] PhD graduates - territorial mobility
- [392_636] PhD graduates - professional status
- [392_708] PhD graduates - job search and satisfaction
- [68_161] Persons who went and didn't go on holiday
- [68_265] Expenditure on tourism trips in rented accomodations
- [68_1220] Trips by arrangement
- [68_1221] Trips by purpose
- [68_338] Same-day visits
- [68_356] Persons who made trips
- [68_371] Persons who made trips (quarterly data)
- [68_381] Overnight stays for trips
- [68_357] Overnight stays for trips
- [68_365] Trips by purpose
- [68_380] Trips by characteristics of the trip
- [68_697] Trips by purpose
- [68_359] Trips by characteristics of the tourist
- [68_699] Trips by characteristics of the tourist
- [68_698] Trips and their characteristics
- [730_1006] Sequence of accounts - editions from October 2014 to April 2019
- [730_1047] Gross Domestic Product and main components - editions from October 2014 to April 2019
- [730_1048] National accounts annual main aggregates - editions from October 2014 to April 2019
- [730_1049] Regular, irregular employment and population - editions from October 2014 to April 2019
- [270_248] Gross domestic product supply side - editions until November 2013
- [396_61] Disposable income of households in the italian regions - edition October 2010
- [93_209] Accounts aggregates by industry (NACE Rev.1.1) - edition October 2010
- [93_256] Employment breakdown by industry (NACE Rev.1.1) - edition October 2010
- [737_1082] Sequence of accounts - editions from October 2012 to December 2018
- [737_1083] Gross domestic product supply side - editions from October 2012 to December 2018
- [737_1084] National Accounts regional main aggregates - editions from October 2012 to December 2018
- [737_1087] Regular, irregular employment and population - editions from October 2012 to December 2018
- [737_1093] Disposable income of the households in the italian regions - editions from November 2015 to december 2018
- [669_1073] Environmental tax revenue 2014 version
- [669_1080] NAMEA air emissions (NACE Rev. 2) 2014 version
- [669_1081] Physical energy flow accounts (PEFA) 2014 version
- [669_1113] Environmental protection expenditure 2014 version
- [669_1116] National materials' use accounts 2014 version
- [669_1119] Environmental goods and services accounts 2014 version
- [669_964] Environmental tax revenue
- [669_967] NAMEA air emissions (NACE Rev. 2) 2011 version
- [97_79] NAMEA air emissions (NACE Rev.1.1)
- [97_932] Energy use accounts 2014 version
- [162_1058] Sequence of quarterly accounts by institutional sector - Accounts in the 2014 version
- [162_1064] Sequence of quarterly accounts by institutional sector
- [162_633] Sequence of quarterly accounts by institutional sector
- [395_344] Sequence of quarterly accounts by institutional sector - Accounts in the 2011 version
- [163_144] Accounts aggregates by industry (NACE Rev.1.1) - edition September 2011
- [163_241] Final consumption expenditure of households - editions until August 2014
- [163_246] Costs and margins breakdown by industry (NACE Rev.1.1) - edition September 2011
- [163_247] Gross domestic product supply side - editions until August 2014
- [163_250] Gross fixed capital formation - editions until August 2014
- [163_253] Gross domestic product and expenditure components - editions until August 2014
- [163_257] Employment breakdown by industry (NACE Rev.1.1) - edition September 2011
- [163_296] Accounts aggregates by industry (NACE Rev.2) - editions from December 2011 to August 2014
- [163_299] Costs and margins breakdown by industry (NACE Rev.2) - editions from December 2011 to June 2014
- [163_300] Employment breakdown by industry (NACE Rev.2) - editions from December 2011 to June 2014
- [732_1051] Gross domestic product, expenditure components and contribution to GDP growth - editions from October 2014 to August 2019
- [732_1052] Gross Domestic Product and main components - editions from October 2014 to August 2019
- [732_1053] National Accounts quarterly main aggregates - editions from October 2014 to August 2019
- [732_1054] Employment breakdown by industry - editions from October 2014 to August 2019
- [101_1015] Crops
- [101_1030] PDO, PGI and TSG quality products
- [101_1033] Slaughtering
- [101_1039] Agritourism - municipalities
- [101_1077] PDO, PGI and TSG products: operators - municipalities data
- [101_12] Agricoltural prices
- [101_148] Economic results of farms
- [101_22] Plant protection products
- [101_959] Milk and dairy products
- [101_961] Livestock
- [101_962] Livestock import export
- [101_965] Agritourism
- [102_974] Farm structure
- [104_466] Fertilizars
- [117_1035] Bank services - municipalities data
- [119_367] Indexes of turnover in other services
- [120_337] Index of retail trade sales
- [121_331] Air transport
- [117_1057] Rail transport
- [121_393] Maritime transport
- [117_262] Business confidence in the market services sector
- [117_266] Business confidence in the retail trade Sector
- [121_330] Road freight transport
- [121_329] Road freight carriage by category of transport
- [73_1071] Persons prosecuted by the public prosecutor - adults
- [73_1072] Persons prosecuted by the public prosecutor - minors
- [73_1187] Other crimes reported by the police forces to the judicial authority
- [73_160] Criminal proceedings
- [73_173] Prison population held in institutions for adults in Italy
- [73_230] Alleged offenders and victims of crimes reported by the police forces to the judicial authority
- [73_342] Reports of persons suspected by the police forces to have committed crime
- [73_58] Persons convicted by final judgement - Characteristics of the judgements
- [73_59] Persons convicted by final judgement - Demographic characteristics
- [73_67] Crimes reported by the police forces to the judicial authority
- [78_1121] Victims contacting helpline 1522 (anti-violence and stalking number)
- [78_1161] Opinions about gender roles and about violence against women - adults
- [78_1205] Users to 1522 ( anti-violence and stalking number )
- [78_1112] Women who have suffered violence - demographic characteristics and habits
- [124_229] Chamber of commerce balance sheet - euros
- [124_231] Revenue of institutional local unities (euros)
- [124_232] Expenditures of institutional local unities (euros)
- [124_322] Chambers of commerce profit and loss account - euros
- [124_722] Local health units, hospital companies, university hospitals, general hospitals and hospitals with a scientific character profit and loss account ( thousands of euro)
- [160_233] Social security funds - number of employees
- [160_234] Social security funds - expenditures (thousands of euro)
- [160_235] Social security funds - revenue (thousands of euro)
- [160_753] Social security funds S13 - number of employees
- [160_754] Social security funds S13 - revenue (thousands of euro)
- [160_755] Social security funds S13 - expenditures (thousands of euro)
- [149_327] Annual gross hours, net hours, holidays and other hours reduction - full-time employees
- [155_358] Wages according to collective labour agreements by economic sector (Nace rev.2)
- [149_319] Bargaining tension
- [155_274] Wages according to collective labour agreements in Public administration
- [155_318] Wages according to collective labour agreements by agreement
- [150_872] Employment rate - monthly data
- [150_873] Labour force - monthly data
- [150_875] Employed - monthly data
- [150_876] Activity rate - monthly data
- [150_1168] Employment rate - monthly data - previous regulation (until 2020)
- [150_1169] Labour force - monthly data - previous regulation (until 2020)
- [150_1170] Employed - monthly data - previous regulation (until 2020)
- [150_1171] Activity rate - monthly data - previous regulation (until 2020)
- [150_880] Activity rate - quarterly seasonally adjusted data
- [150_881] Labour force - quarterly seasonally adjusted data
- [150_882] Employed - quarterly seasonally adjusted data
- [150_883] Employment rate - quarterly seasonally adjusted data
- [150_938] Employment (thousands)
- [150_908] Labour force
- [150_915] Employment rate
- [150_916] Activity rate
- [150_1172] Activity rate - quarterly seasonally adjusted data - previous regulation (until 2020)
- [150_1173] Labour force - quarterly seasonally adjusted data - previous regulation (until 2020)
- [150_1174] Employed - quarterly seasonally adjusted data - previous regulation (until 2020)
- [150_1175] Employment rate - quarterly seasonally adjusted data - previous regulation (until 2020)
- [150_1189] Employment rate - previous regulation (until 2020)
- [150_1188] Employment (thousands) - previous regulation (until 2020)
- [150_1190] Labour force - previous regulation (until 2020)
- [150_1191] Activity rate - previous regulation (until 2020)
- [150_105] Employment by number of actual weekly hours and average number of actual weekly hours
- [151_874] Unemployment rate - monthly data
- [151_877] Unemployed - monthly data
- [151_1176] Unemployment rate - monthly data- previous regulation (until 2020)
- [151_1177] Unemployed - monthly data - previous regulation (until 2020)
- [151_884] Unemployment rate - quarterly seasonally adjusted data
- [151_885] Unemployed - quarterly seasonally adjusted data
- [151_914] Unemployment rate
- [151_929] Unemployment
- [151_1178] Unemployment rate - quarterly seasonally adjusted data - previous regulation (until 2020)
- [151_1179] Unemployed - quarterly seasonally adjusted data - previous regulation (until 2020)
- [151_1192] Unemployment - previous regulation (until 2020)
- [151_1193] Unemployment rate - previous regulation (until 2020)
- [723_1036] Households - labour status
- [723_1040] Persons by role in household - labour status
- [723_1041] Couple family - labour status
- [723_1206] Households - labour status- previous regulation (until 2020)
- [723_1207] Couple family - labour status- previous regulation (until 2020)
- [723_1208] Persons by role in household - labour status- previous regulation (until 2020)
- [152_878] Inactivity rate - monthly data
- [152_879] Inactive population - monthly data
- [152_1180] Inactivity rate - monthly data- previous regulation (until 2020)
- [152_1181] Inactive population - monthly data- previous regulation (until 2020)
- [152_886] Inactivity rate - quarterly seasonally adjusted data
- [152_887] Inactive population - quarterly seasonally adjusted data
- [152_913] Inactivity rate
- [152_928] Inactive population
- [152_1182] Inactivity rate - quarterly seasonally adjusted data- previous regulation (until 2020)
- [152_1183] Inactive population - quarterly seasonally adjusted data- previous regulation (until 2020)
- [152_1185] Inactive population- previous regulation (until 2020)
- [152_1196] Inactivity rate- previous regulation (until 2020)
- [47_850_DF_DCIS_SERVSOCEDU1_1] Indicators - prov.
- [47_850_DF_DCIS_SERVSOCEDU1_2] Services provided by municipalities - reg.
- [47_850_DF_DCIS_SERVSOCEDU1_4] Services provided by municipalities - ambiti territoriali sociali (Ats)
- [47_850_DF_DCIS_SERVSOCEDU1_5] Territorial services- reg.
- [47_850_DF_DCIS_SERVSOCEDU1_7] Territorial services - ambiti territoriali sociali (Ats)
- [47_850_DF_DCIS_SERVSOCEDU1_6] Territorial services - prov. and municipalities
- [49_62_DF_DCIS_OSPITIPRESIDI1_10] Minor guests discharged by destination - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_2] Minor guests by age class - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_3] Minor guests by gender - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_4] Minor guests by type of need - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_5] Minor guests by type of residential care centre - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_6] Minor guests by function of social protection - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_7] Minor guests by level of health care - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_8] Minor guests by reason for admission - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_9] Minor guests by adoptability status - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_11] Adult guests by age class - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_12] Adult guests by gender and type of need - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_13] Adult guests by type of residential care - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_14] Adult guests by function of social protection - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_15] Adult guests by level of health care - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_16] Elderly guests by age class and type of need - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_17] Elderly guests by type of residential care centre - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_18] Elderly guests by gender and function of social protection - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_19] Elderly guests by gender and level of health care - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_20] Foreign guests by gender - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_21] Foreign minor guests by gender - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_22] Foreign minor guests by type of need - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_23] Foreign minor guests by reason for admission - geographical areas
- [49_62_DF_DCIS_OSPITIPRESIDI1_24] Foreign adult guests by gender and type of need - reg.
- [49_62_DF_DCIS_OSPITIPRESIDI1_25] Foreign elderly guests by gender and type of need - reg.
- [49_37_DF_DCIS_PRESIDI1_10] Beds by type of administrator - reg.
- [49_37_DF_DCIS_PRESIDI1_11] Staff - reg.
- [49_37_DF_DCIS_PRESIDI1_1] Residencial facilities - reg.
- [49_37_DF_DCIS_PRESIDI1_2] Beds by target users and type of residential care centre
- [49_37_DF_DCIS_PRESIDI1_3] Beds by target users and function of social protection
- [49_37_DF_DCIS_PRESIDI1_4] Beds by target of users and level of health care
- [49_37_DF_DCIS_PRESIDI1_5] Beds by target users - reg.
- [49_37_DF_DCIS_PRESIDI1_6] Beds by type of residential care centre - reg.
- [49_37_DF_DCIS_PRESIDI1_7] Beds by function of social protection - reg.
- [49_37_DF_DCIS_PRESIDI1_8] Beds by level of health care - reg.
- [49_37_DF_DCIS_PRESIDI1_9] Beds by legal status of the holder and public funding - reg.
- [46_813_DF_DCAR_PENSIONI2_1] Data summary
- [46_813_DF_DCAR_PENSIONI2_2] Montly amount class - prov.
- [46_813_DF_DCAR_PENSIONI2_3] Age class - prov.
- [46_813_DF_DCAR_PENSIONI2_4] Osd and compensatory - Monthly amount class, sector and ex professional status- prov.
- [46_813_DF_DCAR_PENSIONI2_5] Osd and compensatory - age class, sector and ex professional status - prov.
- [46_813_DF_DCAR_PENSIONI2_6] Indicators - reg.
- [183_203_DF_DICA_ACDP_2] Sectors of economic activity, size class of persons employed
- [183_203_DF_DICA_ACDP_3] Sectors of economic activity, legal form
- [183_203_DF_DICA_ACDP_4] Sectors of economic activity, enterprise age class
- [183_203_DF_DICA_ACDP_5] Economic activity (Nace 2 digit)
- [183_203_DF_DICA_ACDP_6] Size class of persons employed - geographical areas
- [183_203_DF_DICA_ACDP_7] Legal form - geographical areas
- [183_203_DF_DICA_ACDP_8] Enterprise age class - geographical areas
- [183_203_DF_DICA_ACDP_12] Gender, size class of persons employed
- [183_203_DF_DICA_ACDP_13] Gender, legal form
- [183_203_DF_DICA_ACDP_14] Gender, enterprise age class
- [183_203_DF_DICA_ACDP_15] Age class, size class of persons employed
- [183_203_DF_DICA_ACDP_16] Age class, legal form
- [183_203_DF_DICA_ACDP_17] Age class, enterprise age class
- [183_203_DF_DICA_ACDP_18] Country of birth, size class of persons employed
- [183_203_DF_DICA_ACDP_19] Country of birth, legal form
- [183_203_DF_DICA_ACDP_20] Country of birth, enterprise age class
- [183_336_DF_DICA_ADIPPP_1] Gender, sectors of economic activity
- [183_336_DF_DICA_ADIPPP_2] Gender, size class of persons employed
- [183_336_DF_DICA_ADIPPP_3] Gender - reg.
- [183_336_DF_DICA_ADIPPP_4] Age class, sectors of economic activity
- [183_336_DF_DICA_ADIPPP_5] Age class, size class of persons employed
- [183_336_DF_DICA_ADIPPP_6] Age class - reg.
- [183_336_DF_DICA_ADIPPP_7] Country of birth, sectors of economic activity
- [183_336_DF_DICA_ADIPPP_8] Country of birth, size class of persons employed
- [183_336_DF_DICA_ADIPPP_9] Country of birth - reg.
- [183_286_DF_DICA_ADIPWP_2] Sectors of economic activity, size class of persons employed
- [183_286_DF_DICA_ADIPWP_3] Sectors of economic activity, enterprise age class
- [183_286_DF_DICA_ADIPWP_4] Sectors of economic activity - geographical areas
- [183_286_DF_DICA_ADIPWP_5] Economic activities (Nace 2 digit)
- [183_286_DF_DICA_ADIPWP_6] Size class of persons employed - geographical areas
- [183_286_DF_DICA_ADIPWP_7] Enterprise age class - geographical areas
- [183_286_DF_DICA_ADIPWP_8] Regions
- [183_286_DF_DICA_ADIPWP_10] Legal form, age class - geographical areas
- [183_286_DF_DICA_ADIPWP_11] Legal form, country of birth - geographical areas
- [183_286_DF_DICA_ADIPWP_12] Economic activity (Nace 3 digit) - reg.
- [183_286_DF_DICA_ADIPWP_13] Economic activities (Nace 1 digit) - prov.
- [183_286_DF_DICA_ADIPWP_14] Size class of persons employed - prov.
- [183_286_DF_DICA_ADIPWP_15] Legal form - prov.
- [183_286_DF_DICA_ADIPWP_16] Enterprise age class - prov.
- [183_286_DF_DICA_ADIPWP_9] Legal form, gender - geographical areas
- [183_286_DF_DICA_ADIPWP_17] Sectors of economic activity. size class of persons employed
- [183_286_DF_DICA_ADIPWP_18] Sectors of economic activity, enterprise age class
- [183_286_DF_DICA_ADIPWP_19] Sectors of economic activity - geographical areas
- [183_286_DF_DICA_ADIPWP_20] Economic activities (Nace 2 digit)
- [183_286_DF_DICA_ADIPWP_21] Size class of persons employed - geographical areas
- [183_286_DF_DICA_ADIPWP_22] Enterprise age class - geographical areas
- [183_286_DF_DICA_ADIPWP_23] Regions
- [183_286_DF_DICA_ADIPWP_24] Legal form, gender - geographical areas
- [183_286_DF_DICA_ADIPWP_25] Legal form, age class - geographical areas
- [183_286_DF_DICA_ADIPWP_26] Legal form, country of birth - geographical areas
- [183_286_DF_DICA_ADIPWP_27] Economic activities (Nace 3 digit) - reg.
- [183_286_DF_DICA_ADIPWP_28] Economic activities (Nace 1 digit) - prov.
- [183_286_DF_DICA_ADIPWP_29] Size class of persons employed - prov.
- [183_286_DF_DICA_ADIPWP_30] Legal form - prov.
- [183_286_DF_DICA_ADIPWP_31] Enterprise age class - prov.
- [183_286_DF_DICA_ADIPWP_32] Sectors of economic activity, size class of persons employed
- [183_286_DF_DICA_ADIPWP_33] Sectors of economic activity, enterprise age class
- [183_286_DF_DICA_ADIPWP_34] Sectors of economic activity - geographical areas
- [183_286_DF_DICA_ADIPWP_35] Economic activities (Nace 2 digit)
- [183_286_DF_DICA_ADIPWP_36] Size class of persons employed - geographical areas
- [183_286_DF_DICA_ADIPWP_37] Enterprise age class - geographical areas
- [183_286_DF_DICA_ADIPWP_38] Regions
- [183_286_DF_DICA_ADIPWP_39] Legal form, gender - geographical areas
- [183_286_DF_DICA_ADIPWP_40] Legal form, age class - geographical areas
- [183_286_DF_DICA_ADIPWP_41] Legal form, country of birth - geographical areas
- [183_286_DF_DICA_ADIPWP_42] Economic activities (Nace 3 digit) - reg.
- [183_286_DF_DICA_ADIPWP_43] Economic activities (Nace 1 digit) - prov.
- [183_286_DF_DICA_ADIPWP_44] Size class of persons employed - prov.
- [183_286_DF_DICA_ADIPWP_45] Legal form - prov.
- [183_286_DF_DICA_ADIPWP_46] Enterprise age class - prov.
- [183_207_DF_DICA_AESTCP_10] Enterprise age class - geographical areas
- [183_207_DF_DICA_AESTCP_11] Enterprise with emploees - geographical areas
- [183_207_DF_DICA_AESTCP_12] Regions
- [183_207_DF_DICA_AESTCP_3] Sectors of economic activity, size class of persons employed
- [183_207_DF_DICA_AESTCP_4] Sectors of economic activity, legal form
- [183_207_DF_DICA_AESTCP_5] Sectors of economic activity, enterprise age class
- [183_207_DF_DICA_AESTCP_6] Sectors of economic activity, enterprise with employees
- [183_207_DF_DICA_AESTCP_7] Economic activities (Nace 2 digit)
- [183_207_DF_DICA_AESTCP_8] Size class of persons employeed - geographical areas
- [183_207_DF_DICA_AESTCP_9] Legal form - geographical areas
- [183_208_DF_DICA_AESTLP_10] Regions
- [183_208_DF_DICA_AESTLP_3] Sectors of economic activity, size class of persons employed
- [183_208_DF_DICA_AESTLP_4] Sectors of economic activity, legal form
- [183_208_DF_DICA_AESTLP_5] Sectors of economic activity, enterprise age class and enterprise with employers
- [183_208_DF_DICA_AESTLP_6] Economic activity (Nace 2 digit)
- [183_208_DF_DICA_AESTLP_7] Size class of persons employed - geographical areas
- [183_208_DF_DICA_AESTLP_8] Legal form - geographical areas
- [183_208_DF_DICA_AESTLP_9] Enterprise age class and enterprise with employers - geographical areas
- [183_275_DF_DICA_AINDP_3] Sectors of economic activity, size class of persons employed
- [183_275_DF_DICA_AINDP_4] Sectors of economic activity, legal form
- [183_275_DF_DICA_AINDP_5] Sectors of economic activity, enterprise age class, enterprise with employes
- [183_275_DF_DICA_AINDP_6] Economic activity (Nace 2 digit)
- [183_275_DF_DICA_AINDP_7] Size class of persons employed - geographical areas
- [183_275_DF_DICA_AINDP_8] Legal form - gegraphical areas
- [183_275_DF_DICA_AINDP_9] Enterprise age class, enterprise with emplyes - geographical areas
- [183_275_DF_DICA_AINDP_10] Gender
- [183_275_DF_DICA_AINDP_11] Age class
- [183_275_DF_DICA_AINDP_12] Country of birth
- [183_275_DF_DICA_AINDP_13] Size class of persons employed
- [183_275_DF_DICA_AINDP_14] Legal form
- [183_275_DF_DICA_AINDP_15] Enterprise age class
- [183_275_DF_DICA_AINDP_16] Enterprise with employees, gender
- [183_275_DF_DICA_AINDP_17] Enterprise with employees, age class
- [183_275_DF_DICA_AINDP_18] Enterprise with employees, country of birth
- [183_275_DF_DICA_AINDP_19] Enterprise with employees, type of self employed
- [183_276_DF_DICA_AINTP_3] Sectors of economic activity, size class of persons employed
- [183_276_DF_DICA_AINTP_4] Sectors of economic activity, legal form
- [183_276_DF_DICA_AINTP_5] Sectors of economic activity, enterprise age class, enterprise with empliees
- [183_276_DF_DICA_AINTP_6] Economic activity (Nace 2 digit)
- [183_276_DF_DICA_AINTP_7] Size class of persons employed - geographical areas
- [183_276_DF_DICA_AINTP_10] Regions
- [183_276_DF_DICA_AINTP_8] Legal form - geographical areas
- [183_276_DF_DICA_AINTP_9] Enterprise age class, enterprise with employees - geographical areas
- [183_276_DF_DICA_AINTP_11] Size class of persons employed
- [183_276_DF_DICA_AINTP_12] Legal form
- [183_276_DF_DICA_AINTP_13] Enterprise age class
- [183_276_DF_DICA_AINTP_14] Enterprise with employees, gender
- [183_276_DF_DICA_AINTP_15] Enterprise with employees, age class
- [183_276_DF_DICA_AINTP_16] Enterprise with employees, country of birth
- [183_276_DF_DICA_AINTP_17] Enterprise with employess, work period carried out at the user enterprise
- [183_332_DF_DICA_ASIAULOCCP_1] Size class of persons employed, gender, class age - prov.
- [183_332_DF_DICA_ASIAULOCCP_2] Size class of persons employed, country of birth - prov.
- [183_332_DF_DICA_ASIAULOCCP_3] Size class of persons employed, professional qualification - prov.
- [183_332_DF_DICA_ASIAULOCCP_4] Economic activities (Nace 3 digit), gender - prov.
- [183_332_DF_DICA_ASIAULOCCP_5] Economic activities (Nace 3 digit), age class - prov.
- [183_332_DF_DICA_ASIAULOCCP_6] Economic activities (Nace 3 digit), country of birth - prov.
- [183_332_DF_DICA_ASIAULOCCP_7] Economic activities (Nace 3 digit), professional qualification - prov.
- [183_464_DF_DICA_TISTUDIO_1] Data summary
- [183_464_DF_DICA_TISTUDIO_2] Professional qualification - geographical areas
- [183_464_DF_DICA_TISTUDIO_3] Country of bearth sex, age - geographical areas
- [183_464_DF_DICA_TISTUDIO_4] Sex -reg.
- [183_464_DF_DICA_TISTUDIO_5] Age -reg.
- [183_464_DF_DICA_TISTUDIO_6] Country of bearth -reg.
- [183_1163_DF_DICA_ASIAULP_TERRIFDATA_1] Data summary
- [183_1163_DF_DICA_ASIAULP_TERRIFDATA_3] Economic activities (Nace 3 digit) - com.
- [183_1163_DF_DICA_ASIAULP_TERRIFDATA_4] Size class of persons employed, economic activities (Nace 5 digit) - Italy
- [183_1163_DF_DICA_ASIAULP_TERRIFDATA_5] Size class of persons employed, economic activities (Nace 4 digit) - geographical areas
- [183_1163_DF_DICA_ASIAULP_TERRIFDATA_6] Size class of persons employed, economic activities (Nace 3 digit) - prov.
- [183_1163_DF_DICA_ASIAULP_TERRIFDATA_7] Size class of persons employed, Economic activities (Nace 2 digit) - municipalities
- [161_267_DF_DCSP_SBSNAZ_10] Turnover
- [161_267_DF_DCSP_SBSNAZ_11] Labour cost
- [161_267_DF_DCSP_SBSNAZ_12] Gross operating surplus
- [161_267_DF_DCSP_SBSNAZ_13] Wage adjusted labour productivity
- [161_267_DF_DCSP_SBSNAZ_14] Persons employed and employees
- [161_267_DF_DCSP_SBSNAZ_8] Main performance indicators
- [161_267_DF_DCSP_SBSNAZ_9] Gross value added
- [161_267_DF_DCSP_SBSNAZ_1] Data summary
- [161_267_DF_DCSP_SBSNAZ_2] All the economic activities (Nace 4 digit)
- [161_267_DF_DCSP_SBSNAZ_3] All the economic activities (Nace 4 digit) and class of persons employed
- [161_267_DF_DCSP_SBSNAZ_4] Industry (Nace 3 digit) and size class of persons employed
- [161_267_DF_DCSP_SBSNAZ_5] Trade and services (Nace 3 digit) and class of persons employed
- [161_267_DF_DCSP_SBSNAZ_6] Trade (Nace 2 digit) and size class of turnover
- [161_267_DF_DCSP_SBSNAZ_7] Environmental protection expenditure
- [161_268_DF_DCSP_SBSREG_1] Enterprises economic indicators - reg.
- [6_471_DF_DCSP_LACIS_10] Geographic market and size class of persons employed
- [6_471_DF_DCSP_LACIS_11] Geographic market and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_12] Employees with a tertiary degree and size class of persons employed
- [6_471_DF_DCSP_LACIS_13] Employees with a tertiary degree and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_14] Status of product and/or process innovative activity and size class of persons employed copy
- [6_471_DF_DCSP_LACIS_15] Status of product and/or process innovative activity and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_16] Type of financial support and size class of persons employed
- [6_471_DF_DCSP_LACIS_17] Type of finacial support and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_2] Type of innovative activity and size class of persons employed
- [6_471_DF_DCSP_LACIS_3] Type of innovative activity and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_4] Age of enterprise and employees class
- [6_471_DF_DCSP_LACIS_5] Age of enterprise and employees class and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_6] Impact of legislation and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_7] Impact of legislation and employees class
- [6_471_DF_DCSP_LACIS_8] Hampering factors of innovation and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_9] Hampering factors of innovation and employees class
- [6_471_DF_DCSP_LACIS_18] Type of product/process innovation and size class of persons employed
- [6_471_DF_DCSP_LACIS_19] Type of product/process innovation and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_20] Methods of developing and size class of persons employed
- [6_471_DF_DCSP_LACIS_21] Methods of developing and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_26] Localization of cooperation partner and size class of persons employed
- [6_471_DF_DCSP_LACIS_27] Localization of cooperation partner and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_28] Type of cooperation partner and size class of persons employed
- [6_471_DF_DCSP_LACIS_29] Type of cooperation partner and economic activities (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_32] Enterprise strategies and employees class
- [6_471_DF_DCSP_LACIS_33] Enterprise strategies and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_34] Types of sold products and services and employees class
- [6_471_DF_DCSP_LACIS_35] Types of sold products and services and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_36] Types of intellectual property protection and employees class
- [6_471_DF_DCSP_LACIS_37] Types of intellectual property protection and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_38] Acquisition of machinery, technical services and knowledge and employees class
- [6_471_DF_DCSP_LACIS_39] Acquisition of machinery, technical services and knowledge and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_40] Methods of organising work by level of importance and employees class
- [6_471_DF_DCSP_LACIS_41] Methods of organising work by level of importance and economic sector (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_75] Climate change and employees class
- [6_471_DF_DCSP_LACIS_76] Climate change (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_71] COVID-19 sanitary emergency impact and employees class
- [6_471_DF_DCSP_LACIS_72] COVID-19 sanitary emergency impact (Nace 2 digit)
- [6_471_DF_DCSP_LACIS_73] COVID-19 sanitary emergency impact on innovation expenditure and turnover and employees class
- [6_471_DF_DCSP_LACIS_74] COVID-19 sanitary emergency impact on innovation expenditure anc turnover (Nace 2 digit)
- [6_39_DF_DCSP_ICT_10] Artificial Intelligence
- [6_39_DF_DCSP_ICT_11] Robotics and 3D printing
- [6_39_DF_DCSP_ICT_12] Technologies for internal organization, for supply chain, internet of things
- [6_39_DF_DCSP_ICT_13] Security policy
- [6_39_DF_DCSP_ICT_14] Skills and training in ICT
- [6_39_DF_DCSP_ICT_15] Industry 4.0 - technological areas of acquisitions
- [6_39_DF_DCSP_ICT_16] Industry 4.0 - digitization factors
- [6_39_DF_DCSP_ICT_17] DESI indicators
- [6_39_DF_DCSP_ICT_18] ICT of the enterprise - rip
- [6_39_DF_DCSP_ICT_19] ICT of the enterprise - reg
- [6_39_DF_DCSP_ICT_1] Main indicators
- [6_39_DF_DCSP_ICT_2] Connection to the Internet and website
- [6_39_DF_DCSP_ICT_3] Social media
- [6_39_DF_DCSP_ICT_4] e-Commerce
- [6_39_DF_DCSP_ICT_5] On-line sale
- [6_39_DF_DCSP_ICT_6] On-line purchase
- [6_39_DF_DCSP_ICT_7] e-Invoicing
- [6_39_DF_DCSP_ICT_8] Cloud Computing
- [6_39_DF_DCSP_ICT_9] Big Data analysis
- [6_39_DF_DCSP_ICT_20] ICT and environment
- [6_20_DF_DCSP_RS_3] Expenditure by type of R&D
- [6_20_DF_DCSP_RS_4] Expenditure by source of funds
- [6_20_DF_DCSP_RS_5] Expenditure by field of science
- [6_20_DF_DCSP_RS_6] Expenditure by type of costs
- [6_20_DF_DCSP_RS_7] Expenditure - reg.
- [6_20_DF_DCSP_RS_8] Business expenditure by size class of person employed
- [6_20_DF_DCSP_RS_9] Business expenditure by economic activity (Nace 2 digit)
- [DF_DIPS_SIR_IND_TERR_DRT_OCC_RBI_MUN_1] All indicators - All territories
- [DF_DIPS_SIR_IND_TERR_DRT_OCC_RBI_MUN_2] All indicators by individual territory (persons employed - enterprises)
- [DF_DIPS_SIR_IND_TERR_DRT_OCC_RBI_SLL_1] All indicators - All Labour Market Areas (LMAs)
- [DF_DIPS_SIR_IND_TERR_DRT_OCC_RBI_SLL_2] Indicators by Labour Market Area (LMA)
- [DF_DIPS_SIR_IND_TERR_DRT_OCC_RBI_MUN_3] All indicators - All territories (self-employed - enterprises)
- [DF_DIPS_SIR_IND_TERR_DRT_OCC_RBI_MUN_5] All indicators - All territories (employees)
- [DF_DIPS_SIR_IND_TERR_DRT_MUN_1] All indicators - All territories
- [DF_DIPS_SIR_IND_TERR_DRT_MUN_2] All indicators by individual territory
- [DF_DIPS_SIR_IND_TERR_DRT_SLL_1] All indicators - All Labour Market Areas (LMAs)
- [DF_DIPS_SIR_IND_TERR_DRT_SLL_2] Indicators by Labour Market Area (LMA)
- [DF_DIPS_SIR_IND_TERR_DRT_MUN_1] All indicators - All territories
- [DF_DIPS_SIR_IND_TERR_DRT_MUN_2] All indicators by individual territory
- [DF_DIPS_SIR_IND_TERR_DRT_SLL_1] All indicators - All Labour Market Areas (LMAs)
- [DF_DIPS_SIR_IND_TERR_DRT_SLL_2] Indicators by Labour Market Area (LMA)
- [101_12_DF_DCSP_PREZZIAGR_5] Agricultural purchase price index, monthly data (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_6] Agricultural producer price index, monthly data (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_7] Agricultural purchase price index, annual average (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_8] Agricultural producer price index, annual average (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_1] Agricultural purchase price index, monthly data (base 2015)
- [101_12_DF_DCSP_PREZZIAGR_2] Agricultural producer price index, monthly data (base 2015)
- [101_12_DF_DCSP_PREZZIAGR_3] Agricultural purchase price index, annual average (base 2015)
- [101_12_DF_DCSP_PREZZIAGR_4] Agricultural producer price index, annual average (base 2015)
- [101_959_DF_DCSP_LATTE_1] Products - monthly data
- [101_959_DF_DCSP_LATTE_2] Products by kind of productive unit
- [101_959_DF_DCSP_LATTE_3] Quantity of fresh products imported
- [101_959_DF_DCSP_LATTE_4] Products and factories by tonnes of product
- [101_959_DF_DCSP_LATTE_5] Factories by productive unit - reg
- [101_959_DF_DCSP_LATTE_6] Products - reg
- [101_1033_DF_DASH_DCSP_MACELLAZIONI_1] Meat - monthly data
- [101_1033_DF_DCSP_MACELLAZIONI_1] Red meat - monthly data
- [101_1033_DF_DCSP_MACELLAZIONI_2] White meat - monthly data
- [101_1033_DF_DCSP_MACELLAZIONI_3] Red meat - annual data
- [101_1033_DF_DCSP_MACELLAZIONI_4] White meat - annual data
- [101_1030_DF_DCSP_DOPIGP_1] Operators by sector
- [101_1030_DF_DCSP_DOPIGP_2] Operators by product
- [101_1030_DF_DCSP_DOPIGP_3] Dynamics of operators
- [101_1030_DF_DCSP_DOPIGP_4] PDO, PGI and TSG active products
- [101_1030_DF_DCSP_DOPIGP_5] Working process by altimetric zone
- [101_1030_DF_DCSP_DOPIGP_6] Working process by sex of the conductor
- [101_1077_DF_DCSP_DOPIGP_COM_1] PDO, PGI and TSG products: operators - municipalities data
- [101_1039_DF_DCSP_AGRITURISMO_COM_1] Agritourism - municipalities
- [101_965_DF_DCSP_AGRITURISMO_1] Authorized farms
- [101_965_DF_DCSP_AGRITURISMO_2] Agrituristic services
- [101_965_DF_DCSP_AGRITURISMO_3] Altimetric zone and conductor sex - provincial data
- [101_965_DF_DCSP_AGRITURISMO_4] Authorised duration of agritouristic activity - provincial data
- [101_965_DF_DCSP_AGRITURISMO_5] Authorized farms dinamic - provincial data
- [104_466_DF_DCSP_FERTILIZZANTI_1] Fertilizers distribuited by product status - reg.
- [104_466_DF_DCSP_FERTILIZZANTI_2] Fertilizers distribuited for use in organic farming - reg.
- [104_466_DF_DCSP_FERTILIZZANTI_3] Fertilizers distribuited by production area - reg.
- [104_466_DF_DCSP_FERTILIZZANTI_4] Fertilizers distributed - prov.
- [104_466_DF_DCSP_FERTILIZZANTI_5] Plant nutrients contained - prov.
- [104_466_DF_DCSP_FERTILIZZANTI_6] Plant nutrients contained by type of fertilizer
- [104_466_DF_DCSP_FERTILIZZANTI_7] Plant nutrients contained by hectare of area fit for being fertilized - reg.
- [101_148_DF_DCSP_RICAREA_1] Data summary
- [101_148_DF_DCSP_RICAREA_2] Farm average economic values by AWU class
- [101_148_DF_DCSP_RICAREA_3] Farm average economic values by turnover class
- [101_148_DF_DCSP_RICAREA_4] Farm average economic values by legal form
- [101_148_DF_DCSP_RICAREA_5] Performance indicators by sector
- [DF_DCAT_CENSAGRIC2020_QUAL_ALL] Number of farm managers and working days by qualification, workforce category, gender, age of the manager
- [DF_DCAT_CENSAGRIC2020_CROPS_ALL] Farms with utilised agricultural area by type of crops
- [DF_DCAT_CENSAGRIC2020_SURF_ALL] Farms and areas
- [DCAT_CENSAGRIC2020_GAIN] Farms with gainful activities
- [DF_DCAT_CENSAGRIC2020_INV_ALL] Farms with investments
- [DF_DCAT_CENSAGRIC2020_TRAI_ALL] Company managers with training courses, by gender and age
- [DF_DCAT_CENSAGRIC2020_ECSIZE_ALL] Economic size and farm typology
- [DF_DCAT_CENSAGRIC2020_CATTLE_ALL] Farms and herd by type of cattle
- [DF_DCAT_CENSAGRIC2020_LABCAT_ALL] Farms and labour days by gender and labor category
- [DF_DCAT_CENSAGRIC2020_LEGOWN_ALL] Farms and areas by legal form and ownership
- [102_974_DF_DCSP_SPA_10] Farms with renevable energy
- [102_974_DF_DCSP_SPA_11] Farms and mechanical means
- [102_974_DF_DCSP_SPA_12] Farms by legal form
- [102_974_DF_DCSP_SPA_13] Farms by farm manager educational level
- [102_974_DF_DCSP_SPA_14] Persons and working days by labour force category
- [102_974_DF_DCSP_SPA_1] Farm and area by land ownership
- [102_974_DF_DCSP_SPA_2] Farm and area by class of agricoltural area
- [102_974_DF_DCSP_SPA_3] Farm and area by management system
- [102_974_DF_DCSP_SPA_4] Farm with irrigable and irrigated area
- [102_974_DF_DCSP_SPA_5] Farms and agricoltural area with organic farming
- [102_974_DF_DCSP_SPA_6] Farms and agricoltural area
- [102_974_DF_DCSP_SPA_7] Farms and agricoltural area by crops
- [102_974_DF_DCSP_SPA_8] Farms and livestock
- [102_974_DF_DCSP_SPA_9] Farms with gainful activities
- [52_1044_DF_DCIS_SCUOLE_1] Data summary
- [52_1044_DF_DCIS_SCUOLE_2] Pre-primary - schools, classes, children
- [52_1044_DF_DCIS_SCUOLE_3] Pre-primary - state schools' teachers
- [52_1044_DF_DCIS_SCUOLE_4] Pre-primary - educational indicators
- [52_1044_DF_DCIS_SCUOLE_5] Primary school - schools, classes, students
- [52_1044_DF_DCIS_SCUOLE_10] Lower secondary school - educational indicators
- [52_1044_DF_DCIS_SCUOLE_11] Upper secondary school - schools, classes, students
- [52_1044_DF_DCIS_SCUOLE_12] Upper secondary school - state schools' teachers
- [52_1044_DF_DCIS_SCUOLE_13] Upper secondary school - educational indicators
- [52_1044_DF_DCIS_SCUOLE_14] Upper secondary school - graduates
- [52_1044_DF_DCIS_SCUOLE_15] Upper secondary school - repeaters per school year level
- [52_1044_DF_DCIS_SCUOLE_6] Primary school - state schools' teachers
- [52_1044_DF_DCIS_SCUOLE_7] Primary school - educational indicators
- [52_1044_DF_DCIS_SCUOLE_8] Lower secondary school - schools, classes, students
- [52_1044_DF_DCIS_SCUOLE_9] Lower secondary school - state schools' teachers
- [56_188_DF_DCIS_DOCENTI_1] University professors 2007-2011
- [56_189_DF_INDUNIV_1] University indicators
- [56_190_DF_DCIS_LAUREATI_1] Graduates
- [56_258_DF_DCIS_IMMATRIC_1] Entrants
- [56_1135_DF_DCIS_DOCENTI1_1] University professors
- [56_190_DF_DCIS_LAUREATI_2] Graduates (2007-2009)
- [613_934_DF_DCCV_DIPL_DEM_FORM_7] Registration for any type of post-diploma course
- [613_934_DF_DCCV_DIPL_DEM_FORM_8] Registration for professional training courses - gender and type of diploma
- [613_934_DF_DCCV_DIPL_DEM_FORM_9] Registration for professional training courses - region of habitual residence
- [613_934_DF_DCCV_DIPL_DEM_FORM_10] University enrollment - gender and type of diploma
- [613_934_DF_DCCV_DIPL_DEM_FORM_11] Registration to university - region of habitual residence
- [613_934_DF_DCCV_DIPL_DEM_FORM_12] Enrollment in non-university tertiary studies - gender and type of diploma
- [613_934_DF_DCCV_DIPL_DEM_FORM_13] Enrollment in non-university tertiary studies - region of habitual residence
- [613_934_DF_DCCV_DIPL_DEM_FORM_1] Type of diploma
- [613_934_DF_DCCV_DIPL_DEM_FORM_2] Legal nature of the school and satisfaction
- [613_934_DF_DCCV_DIPL_DEM_FORM_3] Age
- [613_934_DF_DCCV_DIPL_DEM_FORM_4] Citizenship and cohabiting family members
- [613_934_DF_DCCV_DIPL_DEM_FORM_5] Place of living region
- [613_934_DF_DCCV_DIPL_DEM_FORM_6] Parents' highest level of education attained
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_10] Region and wage
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_1] Sex and type of diploma
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_2] Occupation CP2011
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_3] Professional status and hours worked
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_4] Sector of employement and economic activity
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_5] Wage by diploma
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_6] Wage and type of employment
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_7] High school degree usefulness
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_8] Job satisfaction (average values)
- [613_935_DF_DCCV_DIPL_OCCUP_REDD_9] Region and occupational status
- [612_933_DF_DCCV_LAU_DEM_FORM_1] High school degree
- [612_933_DF_DCCV_LAU_DEM_FORM_2] Judgment (from 0 to 10) on the factors of choice at the university
- [612_933_DF_DCCV_LAU_DEM_FORM_3] Field of study
- [612_933_DF_DCCV_LAU_DEM_FORM_4] Mobility programme participation
- [612_933_DF_DCCV_LAU_DEM_FORM_5] Previous degree
- [612_933_DF_DCCV_LAU_DEM_FORM_6] Current enrollment in training activities
- [612_933_DF_DCCV_LAU_DEM_FORM_7] Completion of training activities
- [612_933_DF_DCCV_LAU_DEM_FORM_8] Parents' highest level of education attained
- [612_939_DF_DCCV_LAU_OCCUP_RED_1] Degree group and occupational condition
- [612_939_DF_DCCV_LAU_OCCUP_RED_2] Degree and profession group
- [612_939_DF_DCCV_LAU_OCCUP_RED_3] Degree group and monthly income
- [612_939_DF_DCCV_LAU_OCCUP_RED_4] Professional status
- [612_939_DF_DCCV_LAU_OCCUP_RED_5] Economic activity and sector of employement
- [612_939_DF_DCCV_LAU_OCCUP_RED_6] Job satisfaction
- [612_939_DF_DCCV_LAU_OCCUP_RED_7] Region of residence and occupational status
- [612_939_DF_DCCV_LAU_OCCUP_RED_8] Region of residence and monthly income
- [392_584_DF_DCCV_TRANSIZ_DOTT_DEM_1] Citizenship, age
- [392_584_DF_DCCV_TRANSIZ_DOTT_DEM_2] Marital status
- [392_584_DF_DCCV_TRANSIZ_DOTT_DEM_3] Programme completed within the legal time, field of study
- [392_584_DF_DCCV_TRANSIZ_DOTT_DEM_4] Income source during education
- [392_584_DF_DCCV_TRANSIZ_DOTT_DEM_5] Parents' highest level of education attained
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_1] Occupational status, gender,place of residence
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_2] Occupational status, field of study
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_3] Sector of employement,professional status
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_4] Economic activity
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_5] Occupation
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_6] Job and educational attainment coeherence
- [392_636_DF_DCCV_TRANSIZ_DOTT_OCCUPAZ_7] Research and Development activities
- [392_586_DF_DCCV_TRANSIZ_DOTT_MOBILITA_1] Time spent abroad, field of study
- [392_586_DF_DCCV_TRANSIZ_DOTT_MOBILITA_2] Time spent abroad during and after the doctoral programme, employment, gender
- [392_586_DF_DCCV_TRANSIZ_DOTT_MOBILITA_3] Intention of leaving Italy
- [392_586_DF_DCCV_TRANSIZ_DOTT_MOBILITA_4] Doctoral graduates living abroad, employment, gender
- [392_586_DF_DCCV_TRANSIZ_DOTT_MOBILITA_5] Doctoral graduates living abroad, field of study
- [392_708_DF_DCCV_TRANSIZ_DOTT_SODDIS_1] Job search and professionall status
- [392_708_DF_DCCV_TRANSIZ_DOTT_SODDIS_2] Professional status and full-time vs part-time preference
- [392_708_DF_DCCV_TRANSIZ_DOTT_SODDIS_3] Preferred territory for working and research field employment preference
- [392_708_DF_DCCV_TRANSIZ_DOTT_SODDIS_4] Satisfaction (of 0 to 10) for the job and the programme completed
- [52_1194_DF_DCCV_POPTIT1_UNT2020_1] Population by highest level of education attained and age class
- [52_1194_DF_DCCV_POPTIT1_UNT2020_2] Population by highest level of education and regions
- [52_1194_DF_DCCV_POPTIT1_UNT2020_3] Population by highest level of education - national and non national
- [144_110_DF_DCSP_FOI1_1] Foi - monthly data until 2010 (base 1995)
- [144_118_DF_DCSP_FOI2_1] Foi - annual data until 2010 (base 1995)
- [169_15_DF_DCSP_FOI1B2010_1] Foi - monthly data from 2011 to 2015 (base 2010)
- [169_28_DF_DCSP_FOI2B2010_1] Foi - annual data from 2011 to 2015 (base 2010)
- [168_2] Hicp - monthly and quarterly data from 2001 until 2015(base 2005)
- [168_2_DF_DCSP_IPCA1_1] Coicop classification (4 digit)
- [168_2_DF_DCSP_IPCA1_2] Special aggregates
- [168_2_DF_DCSP_IPCA1_3] Expcla monthly data (base 2005)
- [168_2_DF_DCSP_IPCA1_4] Expcla quarterly data (base 2005)
- [145_376_DF_DCSC_PREZPRODSERV_1_3] Quarterly data from 2006 (base 2010)
- [145_376_DF_DCSC_PREZPRODSERV_1_4] Annual average from 2006 (base 2010)
- [145_376_DF_DCSC_PREZPRODSERV_1_5] Quarterly data from 2006 until 2012 (base 2006)
- [145_376_DF_DCSC_PREZPRODSERV_1_6] Annual average from 2006 until 2012 (base 2006)
- [145_361_DF_DCSC_FABBRESID_1_4] Residential building - monthly data (base 2010)
- [145_361_DF_DCSC_FABBRESID_1_5] Road stretches - monthly data (base 2010)
- [145_361_DF_DCSC_FABBRESID_1_6] Residential building from 2000 until 2012 (base 2005) - monthly data
- [145_361_DF_DCSC_FABBRESID_1_1] Residential and non-residential buildings - monthly data (base 2015)
- [145_361_DF_DCSC_FABBRESID_1_3] Road stretches - broken series - monthly data (base 2015)
- [145_361_DF_DCSC_FABBRESID_1_1] Residential and non-residential buildings - monthly data (base 2015)
- [145_361_DF_DCSC_FABBRESID_1_2] Roads with tunnel section - monthly data (base 2015)
- [145_361_DF_DCSC_FABBRESID_1_3] Road stretches - broken series - monthly data (base 2015)
- [145_361_DF_DCSC_FABBRESID_1_7] Residential and non-residential buildings - monthly data (base 2021)
- [145_361_DF_DCSC_FABBRESID_1_8] Roads with tunnel section - monthly data (base 2021)
- [101_12_DF_DCSP_PREZZIAGR_5] Agricultural purchase price index, monthly data (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_6] Agricultural producer price index, monthly data (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_7] Agricultural purchase price index, annual average (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_8] Agricultural producer price index, annual average (base 2010)
- [101_12_DF_DCSP_PREZZIAGR_1] Agricultural purchase price index, monthly data (base 2015)
- [101_12_DF_DCSP_PREZZIAGR_2] Agricultural producer price index, monthly data (base 2015)
- [101_12_DF_DCSP_PREZZIAGR_3] Agricultural purchase price index, annual average (base 2015)
- [101_12_DF_DCSP_PREZZIAGR_4] Agricultural producer price index, annual average (base 2015)
- [73_1071_DF_DCCV_IMPUTATI_A_1] Person prosecuted by type of decision
- [73_1071_DF_DCCV_IMPUTATI_A_2] Person prosecuted - age classes, place of birth
- [73_1071_DF_DCCV_IMPUTATI_A_3] Person prosecuted - place of the event (first offense attributed), place of birth
- [73_1071_DF_DCCV_IMPUTATI_A_4] Person prosecuted by number of types of crime
- [73_1071_DF_DCCV_IMPUTATI_A_5] Persons prosecuted by number of crime
- [73_1071_DF_DCCV_IMPUTATI_A_6] Persons prosecuted by type of crime - place of birth, age classes
- [73_1071_DF_DCCV_IMPUTATI_A_7] Persons prosecuted by type of crime - gender, place of birth, age classes
- [73_1071_DF_DCCV_IMPUTATI_A_8] Persons prosecuted by type of crime - per 100,000 population by age
- [73_1071_DF_DCCV_IMPUTATI_A_9] Persons prosecuted by type of crime - place of birth
- [73_1072_DF_DCCV_IMPUTATI_M_1] Person prosecuted by type of decision
- [73_1072_DF_DCCV_IMPUTATI_M_2] Person prosecuted - gender, age classes, place of birth
- [73_1072_DF_DCCV_IMPUTATI_M_3] Person prosecuted - place of the event (first offense attributed), place of birth
- [73_1072_DF_DCCV_IMPUTATI_M_4] Person prosecuted by number of types of crime
- [73_1072_DF_DCCV_IMPUTATI_M_5] Persons prosecuted by number of crime
- [73_1072_DF_DCCV_IMPUTATI_M_6] Persons prosecuted by type of crime - place of birth, age classes
- [73_1072_DF_DCCV_IMPUTATI_M_7] Persons prosecuted by type of crime - gender, place of birth, age classes
- [73_1072_DF_DCCV_IMPUTATI_M_8] Persons prosecuted by type of crime - per 100,000 population by age
- [73_1072_DF_DCCV_IMPUTATI_M_9] Persons prosecuted by type of crime - per 100,000 population by region
- [73_67_DF_DCCV_DELITTIPS_1] Type of crimes - provinces
- [73_67_DF_DCCV_DELITTIPS_2] Type, offender identity, perpetrated in the reference year - big municipality
- [73_67_DF_DCCV_DELITTIPS_3] With known offender, type and reference period of crime
- [73_67_DF_DCCV_DELITTIPS_4] With known offender and reference period of crime - provinces
- [73_67_DF_DCCV_DELITTIPS_5] Crimes with alleged known offenders, type - big municipalities
- [73_67_DF_DCCV_DELITTIPS_6] Crimes with alleged known offenders, type
- [73_67_DF_DCCV_DELITTIPS_7] Crimes with alleged known offenders - provinces
- [73_67_DF_DCCV_DELITTIPS_8] Crime rate - big municipalities
- [73_67_DF_DCCV_DELITTIPS_9] Crime rate - provinces
- [73_59_DF_DCCV_CONDGEO1_10] Italian geographical origin, age
- [73_59_DF_DCCV_CONDGEO1_11] Italian geographical origin - regions
- [73_59_DF_DCCV_CONDGEO1_12] Italian geographical origin - Minors
- [73_59_DF_DCCV_CONDGEO1_13] Foreign geographical origin, age
- [73_59_DF_DCCV_CONDGEO1_14] Foreign geographical origin - geographical areas
- [73_59_DF_DCCV_CONDGEO1_1] Crimes, judicial office and year the felony was committed
- [73_59_DF_DCCV_CONDGEO1_2] Crimes, foreign geographical origin
- [73_59_DF_DCCV_CONDGEO1_3] Crimes - regions
- [73_59_DF_DCCV_CONDGEO1_4] Crimes, judicial office - Minors
- [73_59_DF_DCCV_CONDGEO1_5] Crimes, sentence imposed, period of reclusion - Minors
- [73_59_DF_DCCV_CONDGEO1_6] Crimes, geographical origin territory - Minors
- [73_59_DF_DCCV_CONDGEO1_7] Crimes detail, age
- [73_59_DF_DCCV_CONDGEO1_8] Crimes detail, sentence imposed, period of reclusion
- [73_59_DF_DCCV_CONDGEO1_9] Crimes detail, concurrent felonies
- [73_58_DF_DCCV_CONDCRIM1_10] Time interval between committed felony and sentence, crimes, Judicial office
- [73_58_DF_DCCV_CONDCRIM1_11] Crimes committed, Judicial office, year when the crime was committed
- [73_58_DF_DCCV_CONDCRIM1_12] Crimes committed, age when the crime was committed
- [73_58_DF_DCCV_CONDCRIM1_13] Crimes committed - regions
- [73_58_DF_DCCV_CONDCRIM1_1] Crimes, nature of the crime
- [73_58_DF_DCCV_CONDCRIM1_2] Crimes, security measures
- [73_58_DF_DCCV_CONDCRIM1_3] Crimes, age when the most serious crime was committed
- [73_58_DF_DCCV_CONDCRIM1_4] Crimes, judicial office, interval between crime and sentence
- [73_58_DF_DCCV_CONDCRIM1_5] Crimes detail, previous convictions
- [73_58_DF_DCCV_CONDCRIM1_6] Nature of the crime, age when the most serious crime was committed
- [73_58_DF_DCCV_CONDCRIM1_7] Judicial office, district Court of Appeal
- [73_58_DF_DCCV_CONDCRIM1_8] Security measures, district Court of Appeal
- [73_58_DF_DCCV_CONDCRIM1_9] District Court of Appeal, age when the most serious crime was committed - Minors
- [73_173_DF_DCCV_DETENUTI_1] Crimes
- [73_173_DF_DCCV_DETENUTI_2] Age
- [73_173_DF_DCCV_DETENUTI_3] Place of birth
- [73_173_DF_DCCV_DETENUTI_4] Geographical origin territory
- [73_173_DF_DCCV_DETENUTI_5] Legal position
- [73_173_DF_DCCV_DETENUTI_6] Capacity of prisons and prisoners per hundred of capacity
- [73_440_DF_DCCV_PROCEEDCRIME_A_11] Crimes detail, mean and median time interval between enrollment date and definition date of the proceeding
- [73_440_DF_DCCV_PROCEEDCRIME_A_12] Total number of proceedings, crimes detail, type of decision
- [73_440_DF_DCCV_PROCEEDCRIME_A_13] Crimes detail, offender identity, type of definition
- [73_440_DF_DCCV_PROCEEDCRIME_A_2] Data summary
- [73_440_DF_DCCV_PROCEEDCRIME_A_3] Proceedings, District Court of Appeal, month of definition
- [73_440_DF_DCCV_PROCEEDCRIME_A_4] Proceedings, month of definition, number of authors
- [73_440_DF_DCCV_PROCEEDCRIME_A_5] Proceedings, concurrent felonies
- [73_440_DF_DCCV_PROCEEDCRIME_A_6] Proceedings, time interval between enrollment date and definition date
- [73_440_DF_DCCV_PROCEEDCRIME_A_9] Crimes, unnown offender identity, type of municipality
- [73_440_DF_DCCV_PROCEEDCRIME_A_10] Crimes detail, offender identity, month of occurence
- [73_440_DF_DCCV_PROCEEDCRIME_A_7] Proceedings, crimes detail, time interval between enrollment date and definition date, District Court of Appeal
- [73_436_DF_DCCV_PROCEEDCRIME_M_10] Crimes detail, offender identity, month of occurence
- [73_436_DF_DCCV_PROCEEDCRIME_M_11] Crimes detail, mean and median time interval between enrollment date and definition date of the proceeding
- [73_436_DF_DCCV_PROCEEDCRIME_M_12] Total number of proceedings, crimes detail, type of decision
- [73_436_DF_DCCV_PROCEEDCRIME_M_1] Proceedings and crimes, type of municipality
- [73_436_DF_DCCV_PROCEEDCRIME_M_2] Data summary
- [73_436_DF_DCCV_PROCEEDCRIME_M_3] Proceedings, District Court of Appeal, month of definition
- [73_436_DF_DCCV_PROCEEDCRIME_M_4] Proceedings, month of definition, number of authors
- [73_436_DF_DCCV_PROCEEDCRIME_M_5] Proceedings, concurrent felonies
- [73_436_DF_DCCV_PROCEEDCRIME_M_6] Proceedings, time interval between enrollment date and definition date
- [73_436_DF_DCCV_PROCEEDCRIME_M_7] Proceedings, crimes detail, time interval between enrollment date and definition date, District Court of Appeal
- [73_436_DF_DCCV_PROCEEDCRIME_M_8] Crimes, time interval between enrollment date and definition date
- [73_436_DF_DCCV_PROCEEDCRIME_M_9] Crimes, unnown offender identity, type of municipality
- [78_1161_DF_DCCV_RUOLIGEN_10] Acceptability of intimate partner violence - age
- [78_1161_DF_DCCV_RUOLIGEN_11] Acceptability of intimate partner violence – educational level
- [78_1161_DF_DCCV_RUOLIGEN_12] Acceptability of intimate partner violence - geographical areas
- [78_1161_DF_DCCV_RUOLIGEN_13] Perceived spread of violence against women - age
- [78_1161_DF_DCCV_RUOLIGEN_14] Perceived spread of violence against women – educational level
- [78_1161_DF_DCCV_RUOLIGEN_15] Perceived spread of violence against women - geographical areas
- [78_1161_DF_DCCV_RUOLIGEN_16] Indication of some causes of intimate partner violence - age
- [78_1161_DF_DCCV_RUOLIGEN_17] Indication of some causes of intimate partner violence - educational level
- [78_1161_DF_DCCV_RUOLIGEN_1] Agreement or acceptability of at least one stereotype - age
- [78_1161_DF_DCCV_RUOLIGEN_2] Agreement or acceptability of at least one stereotype – educational level
- [78_1161_DF_DCCV_RUOLIGEN_3] Agreement or acceptability of at least one stereotype – geographical areas
- [78_1161_DF_DCCV_RUOLIGEN_4] Opinions about traditional roles - age
- [78_1161_DF_DCCV_RUOLIGEN_5] Opinions about traditional roles - educational level
- [78_1161_DF_DCCV_RUOLIGEN_6] Opinions about traditional roles – geographical areas
- [78_1161_DF_DCCV_RUOLIGEN_7] Opinions about sexual violence - age
- [78_1161_DF_DCCV_RUOLIGEN_8] Opinions about sexual violence - educational level
- [78_1161_DF_DCCV_RUOLIGEN_9] Opinions about sexual violence - geographical areas
- [78_1161_DF_DCCV_RUOLIGEN_18] Indication of some causes of intimate partner violence – geographical areas
- [78_1161_DF_DCCV_RUOLIGEN_19] What would suggest to a woman who suffered intimate partner violence - age
- [78_1161_DF_DCCV_RUOLIGEN_20] What would suggest to a woman who suffered intimate partner violence – educational level
- [78_1161_DF_DCCV_RUOLIGEN_21] What would suggest to a woman who suffered intWhat would suggest to a woman who suffered intimate partner violence - geographical areas
- [78_1205_DF_DCCV_1522UTENTI4_10] Knowledge of the helpline service 1522 (%) - valid calls
- [78_1205_DF_DCCV_1522UTENTI4_11] Characteristics of violence - gender, nationality, region (valid calls)
- [78_1205_DF_DCCV_1522UTENTI4_12] Characteristics of violence (%) - valid calls
- [78_1205_DF_DCCV_1522UTENTI4_13] Outcome of the call - gender, nationality, region (valid calls)
- [78_1205_DF_DCCV_1522UTENTI4_1] Purpose of the call - gender, citizenship
- [78_1205_DF_DCCV_1522UTENTI4_2] Purpose of the call (%)
- [78_1205_DF_DCCV_1522UTENTI4_3] Type of users - gender, nationality, region (valid calls)
- [78_1205_DF_DCCV_1522UTENTI4_4] Users type (%)
- [78_1205_DF_DCCV_1522UTENTI4_5] Disability presence - gender, region (valid calls)
- [78_1205_DF_DCCV_1522UTENTI4_6] Disability presence (%) - valid calls
- [78_1205_DF_DCCV_1522UTENTI4_7] Sexual orientation - gender, region (valid calls)
- [78_1205_DF_DCCV_1522UTENTI4_8] Sexual orientation (%) - valid calls
- [78_1205_DF_DCCV_1522UTENTI4_9] Knowledge of the helpline service 1522 - nationality, region (valid calls)
- [78_1121_DF_DCCV_1522_VITTIME_10] Victims - sex, reason for the 1522 contact , geographical areas
- [78_1121_DF_DCCV_1522_VITTIME_11] Victims - sex, child presence
- [78_1121_DF_DCCV_1522_VITTIME_12] Victims - sex, witnessed violence
- [78_1121_DF_DCCV_1522_VITTIME_13] Victims - sex, witnessed violence, reaction of witnessed violence
- [78_1121_DF_DCCV_1522_VITTIME_14] Victims - sex, type of violence, feelings of victims
- [78_1121_DF_DCCV_1522_VITTIME_1] Victims - sex, age class, geographical areas
- [78_1121_DF_DCCV_1522_VITTIME_2] Victims - sex, age class, citizenship
- [78_1121_DF_DCCV_1522_VITTIME_3] Victims - sex, educational level, complaints and reason for withdrawal
- [78_1121_DF_DCCV_1522_VITTIME_4] Victims - sex, marital status, type of violence
- [78_1121_DF_DCCV_1522_VITTIME_5] Victims - sex, marital status, geographical areas
- [78_1121_DF_DCCV_1522_VITTIME_6] Victims - sex, professional status, complaints/not complaints
- [78_1121_DF_DCCV_1522_VITTIME_7] Victims - sex, complaints/not complaints, geographical areas
- [78_1121_DF_DCCV_1522_VITTIME_8] Victims - sex, type of violence, geographical areas
- [78_1121_DF_DCCV_1522_VITTIME_9] Victims - sex, type of violence, professional status
- [78_1112_DF_DCCV_VIOL_CARAT_10] Type of perpetrator, educational attainment level of the woman
- [78_1112_DF_DCCV_VIOL_CARAT_11] Type of perpetrator, labour status of the woman
- [78_1112_DF_DCCV_VIOL_CARAT_1] Type of perpetrator and region
- [78_1112_DF_DCCV_VIOL_CARAT_2] Detailed type of violence and type of perpetrator
- [78_1112_DF_DCCV_VIOL_CARAT_3] Citizenship, age
- [78_1112_DF_DCCV_VIOL_CARAT_4] Citizenship, labour status
- [78_1112_DF_DCCV_VIOL_CARAT_5] Citizenship, educational attainment level
- [78_1112_DF_DCCV_VIOL_CARAT_6] Citizenship, marital status
- [78_1112_DF_DCCV_VIOL_CARAT_7] Citizenship, limitations in usual activities
- [78_1112_DF_DCCV_VIOL_CARAT_8] Type of perpetrator, age of the woman
- [78_1112_DF_DCCV_VIOL_CARAT_9] Type of perpetrator, marital status of the woman
- [124_229_DF_DCAR_STATPATCC_1] Chamber of commerce balance sheet (euros)
- [124_231_DF_DCAR_ENTIST_1] Revenue of institutional local unities (euros)
- [124_232_DF_DCAR_SPEIST_1] Expenditures of institutional local unities (euros)
- [124_322_DF_DCAR_CONTECON_CC_1] Chambers of commerce profit and loss account (euros)
- [124_722_DF_DCAR_CONTECON_ASLAO_1] Local health units, hospital companies, university hospitals, general hospitals and hospitals with a scientific character profit and loss account (thousands of euro)
- [160_233_DF_DCAR_ENTPREVDIP_1] Social security funds - number of employees
- [160_234_DF_DCAR_ENTPREVSPE_1] Social security funds - expenditures (thousands of euro)
- [160_235_DF_DCAR_ENTPREVENT_1] Social security funds - revenue (thousands of euro)
- [160_753_DF_DCAR_ENTPREVDIP_PA_1] Social security funds S13 - number of employees
- [160_754_DF_DCAR_ENTPREVENT_PA_1] Social security funds S13 - revenue (thousands of euro)
- [160_755_DF_DCAR_ENTPREVSPE_PA_1] Social security funds S13 - expenditures (thousands of euro)
- [174_321_DF_DCCV_ATTPRINC_10] Activities - gender, age
- [174_321_DF_DCCV_ATTPRINC_8] Activities - gender, highest level of education attained, number of components
- [174_321_DF_DCCV_ATTPRINC_9] Activities - gender, main status, role in the household
- [174_321_DF_DCCV_ATTPRINC_11] Activities - gender, geographical areas and type of municipalities
- [174_321_DF_DCCV_ATTPRINC_12] Time period - gender, highest level of education attained
- [174_321_DF_DCCV_ATTPRINC_13] Time period - gender, role in the household, main status
- [174_321_DF_DCCV_ATTPRINC_14] Time period - gender, age, geographical areas and type of municipalities
- [174_321_DF_DCCV_ATTPRINC_1] Gender, age, highest level of education attained, number of components
- [174_321_DF_DCCV_ATTPRINC_2] Gender, citizenship
- [174_321_DF_DCCV_ATTPRINC_3] Gender, age, main status
- [174_321_DF_DCCV_ATTPRINC_4] Gender, marital status, role in the household
- [174_321_DF_DCCV_ATTPRINC_5] Gender, age - regions and type of municipalities
- [174_321_DF_DCCV_ATTPRINC_6] Children, gender, age
- [174_321_DF_DCCV_ATTPRINC_7] Children, gender, main status parents - geographical areas and type of municipalities
- [174_80_DF_DCCV_COPPIE_1] Couple with or withouth children age and highest level of education attained by woman, main status of couple
- [174_80_DF_DCCV_COPPIE_2] Couple with children, age of woman, number of children and main status of couple
- [174_80_DF_DCCV_COPPIE_3] Couple with children, age of woman, age of youngest child and main status of couple
- [174_80_DF_DCCV_COPPIE_4] Couple with or without children, age of woman and main status of couple - geographical areas
- [174_80_DF_DCCV_COPPIE_5] Couple with or without children with woman of 25-64 years, main status of couple - regions
- [174_80_DF_DCCV_COPPIE_6] Couple with woman of 65 years and over, highest level of education attained by woman
- [174_80_DF_DCCV_COPPIE_7] Couple with woman of 65 years and over - regions
- [174_65_DF_DCCV_ASIMMETRIA_1] Couple with or withouth children, age of woman, highest level of education attained by man and woman, main status of couple
- [174_65_DF_DCCV_ASIMMETRIA_2] Couple with or withouth children, age and role in employment of woman, main status of couple
- [174_65_DF_DCCV_ASIMMETRIA_3] Couple with children, age of woman, age of youngest child, number of children, main status of couple
- [174_65_DF_DCCV_ASIMMETRIA_4] Couple with or withouth children, age of woman, main status of couple - regions
- [174_65_DF_DCCV_ASIMMETRIA_5] Couple with woman of 65 years and over, highest level of education attained by woman, highest level of education attained by man
- [174_65_DF_DCCV_ASIMMETRIA_6] Couple with woman of 65 years and over - regions
- [174_82_DF_DCCV_LUOGHI_10] Time period - gender, age, geographical areas and type of municipalities
- [174_82_DF_DCCV_LUOGHI_1] Gender, highest level of education attained, number of components
- [174_82_DF_DCCV_LUOGHI_2] Gender, citizenship
- [174_82_DF_DCCV_LUOGHI_3] Gender, main status
- [174_82_DF_DCCV_LUOGHI_4] Gender, marital status, role in the household
- [174_82_DF_DCCV_LUOGHI_5] Gender, age - regions and type of municipalities
- [174_82_DF_DCCV_LUOGHI_6] Children, gender, age
- [174_82_DF_DCCV_LUOGHI_7] Children, gender, main status parents - geographical areas and type of municipalities
- [174_82_DF_DCCV_LUOGHI_8] Time period - gender, highest level of education attained
- [174_82_DF_DCCV_LUOGHI_9] Time period - gender, role in the household, main status
- [174_66_DF_DCCV_CONCHI_1] Gender, highest level of education attained, number of components
- [174_66_DF_DCCV_CONCHI_2] Gender, citizenship
- [174_66_DF_DCCV_CONCHI_3] Gender, main status
- [174_66_DF_DCCV_CONCHI_4] Gender, marital status, role in the household
- [174_66_DF_DCCV_CONCHI_5] Gender, age - geographical areas and type of municipalities
- [174_66_DF_DCCV_CONCHI_6] Children, gender, age
- [174_66_DF_DCCV_CONCHI_7] Children, gender, main status parents - geographical areas and type of municipalities
- [33_291_DF_DCCV_PROBLZONRES_2_1] Household size and household type
- [33_291_DF_DCCV_PROBLZONRES_2_2] Number of children under 18 and number of elderly over 65 living in household
- [33_291_DF_DCCV_PROBLZONRES_2_3] Gender and age class of main income earner
- [33_291_DF_DCCV_PROBLZONRES_2_4] Educational level and professional status of main income earner
- [33_291_DF_DCCV_PROBLZONRES_2_5] Household income level and tenure status
- [33_291_DF_DCCV_PROBLZONRES_2_6] Regions and sub national level
- [85_170_DF_DCSA_VOLON_ORG_1] Gender, membership of multiple groups or associations, main activity sector
- [85_170_DF_DCSA_VOLON_ORG_2] Gender, reason of unpaid activities
- [85_170_DF_DCSA_VOLON_ORG_3] Gender, institutional setting
- [85_170_DF_DCSA_VOLON_ORG_4] Gender, personal impact
- [85_83_DF_DCSA_VOLON_1] Gender, age
- [85_83_DF_DCSA_VOLON_2] Gender, type of activity performed
- [85_83_DF_DCSA_VOLON_3] Gender, years of activities
- [85_83_DF_DCSA_VOLON_4] Highest level of education attained, main status
- [85_83_DF_DCSA_VOLON_5] Household number of components and assessment of economic resources
- [85_83_DF_DCSA_VOLON_6] Regions regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_100] Sport - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_101] Sport - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_102] Sport - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_103] Sport - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_104] Meetings with friends - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_105] Meetings with friends - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_106] Meetings with friends - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_107] Meetings with friends - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_108] Political information - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_109] Political information - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_110] Political information - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_111] Political information - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_112] Political information (means) - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_113] Political information (frequency) - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_114] Political information (reason) - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_115] Talk and political activities - detail age - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_116] Talk and political activities - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_117] Talk and political activities - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_118] Talk and political activities - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_119] Political talk - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_122] Political activities - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_123] Interpersonal trust - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_124] Interpersonal trust - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_126] Interpersonal trust - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_127] Interpersonal trust - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_128] Interpersonal trust for some persons - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_129] Social activities - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_130] Social activities - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_131] Social activities - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_132] Social activities - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_133] Religious observances - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_134] Religious observances - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_135] Religious observances - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_136] Religious observances - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_137] Level of satisfaction (from 0 - to 10) with life as whole - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_138] Level of satisfaction (from 0 - to 10) with life as whole - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_139] Level of satisfaction (from 0 - to 10) with life as whole - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_140] Level of satisfaction (from 0 - to 10) with life as whole - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_141] Level of satisfaction (from 0 - to 10) with life as whole - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_142] Level of satisfaction (from 0 - to 10) with life as whole (average and median value) - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_143] Level of satisfaction (from 0 - to 10) with life as whole (average and median value) - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_144] Level of satisfaction (from 0 - to 10) with life as whole (average and median value) - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_145] Level of satisfaction (from 0 - to 10) with life as whole (average and median value) - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_146] Satisfaction for some aspects - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_147] Satisfaction for some aspects - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_148] Satisfaction for some aspects - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_149] Satisfaction for some aspects - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_150] Satisfaction for some aspects - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_146_YOU] Satisfaction for some aspects - Youth
- [83_63_DF_DCCV_AVQ_PERSONE_151] Work satisfaction - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_152] Work satisfaction - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_153] Work satisfaction - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_154] Work satisfaction - geographical areas and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_100] Registry office, local health agency - age
- [83_85_DF_DCCV_AVQ_PERSONE1_101] Registry office, local health agency - occupational status
- [83_85_DF_DCCV_AVQ_PERSONE1_102] Registry office, local health agency - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_103] Registry office - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_104] Local health agency - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_105] Post office, bank - age
- [83_85_DF_DCCV_AVQ_PERSONE1_106] Post office, bank - occupational status
- [83_85_DF_DCCV_AVQ_PERSONE1_107] Post office, bank - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_108] Post office - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_109] Bank - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_155] Train, coach and bus use - age
- [83_63_DF_DCCV_AVQ_PERSONE_156] Train, coach and bus - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_157] Train, coach and bus - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_158] Train - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_159] Coach - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_160] Bus - regions and type of municipality
- [82_87_DF_DCCV_AVQ_FAMIGLIE_103] Tax forms
- [83_63_DF_DCCV_AVQ_PERSONE_161] Type of requested certificate and self-certification - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_162] Type of requested certificate and self-certification - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_163] Type of requested certificate and self-certification - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_164] Type of requested certificate and self-certification - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_165] Type of requested certificate and self-certification - regions and type of municipality
- [115_333_DF_DCSC_INDXPRODIND_1_4] Monthly data (base 2010)
- [115_333_DF_DCSC_INDXPRODIND_1_5] Monthly data (base 2005)
- [115_333_DF_DCSC_INDXPRODIND_1_1] Industrial production index - Monthly data (base 2015)
- [115_333_DF_DCSC_INDXPRODIND_1_2] Detail production index - (Ateco 4 digit)
- [114_191_DF_DCSC_ORDFATT_4] New orders - Monthly (base 2010)
- [114_191_DF_DCSC_ORDFATT_5] Turnover - Monthly (base 2010)
- [114_191_DF_DCSC_ORDFATT_6] Manifacturing turnover volume - Monthly (base 2010)
- [114_191_DF_DCSC_ORDFATT_7] New orders - Monthly (base 2005)
- [114_191_DF_DCSC_ORDFATT_8] Turnover - Monthly (base 2005)
- [114_191_DF_DCSC_ORDFATT_1] Industrial turnover - Monthly (base 2015)
- [114_191_DF_DCSC_ORDFATT_2] Manufacturing turnover volume index - Monthly (base 2015)
- [114_191_DF_DCSC_ORDFATT_3] Industrial new orders - monthly data (base 2015 - until December 2020)
- [114_191_DF_DCSC_ORDFATT_1] Industrial turnover - Monthly (base 2015)
- [114_191_DF_DCSC_ORDFATT_2] Manufacturing turnover volume index - Monthly (base 2015)
- [114_191_DF_DCSC_ORDFATT_3] Industrial new orders - monthly data (base 2015 - until December 2020)
- [114_191_DF_DCSC_ORDFATT_10] Industrial volume turnover - Monthly data (base 2021)
- [114_191_DF_DCSC_ORDFATT_9] Industrial turnover - Monthly data (base 2021)
- [111_40_DF_DCSC_FIDIMPRCOSTR_1] Seasonally adjusted climate and balances - monthly
- [111_40_DF_DCSC_FIDIMPRCOSTR_2] Raw climate, balances and frequency by divisions of constructions - monthly
- [111_40_DF_DCSC_FIDIMPRCOSTR_3] Raw activity secured - quarterly
- [111_40_DF_DCSC_FIDIMPRCOSTR_7] Seasonally adjusted climate and balances - monthly
- [111_40_DF_DCSC_FIDIMPRCOSTR_8] Raw climate, balances and frequency by divisions of constructions - monthly
- [111_40_DF_DCSC_FIDIMPRCOSTR_9] Raw activity secured - quarterly
- [111_263_DF_DCSC_FIDIMPRMAN_17] Monthly seasonally adjusted climate and balances
- [111_263_DF_DCSC_FIDIMPRMAN_18] Monthly raw climate, balances and frequency - geographical areas
- [111_263_DF_DCSC_FIDIMPRMAN_19] Monthly raw climate, balances and frequency by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_20] Monthly raw balances and frequency by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_21] Quarterly seasonally adjusted export and capacity utilisation
- [111_263_DF_DCSC_FIDIMPRMAN_22] Quarterly raw export and capacity utilisation - rip.
- [111_263_DF_DCSC_FIDIMPRMAN_23] Quarterly raw export and capacity utilisation by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_24] Quarterly raw export and capacity utilisation by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_10] Monthly raw climate, balances and frequency - geographical areas
- [111_263_DF_DCSC_FIDIMPRMAN_9] Monthly seasonally adjusted climate and balances
- [111_263_DF_DCSC_FIDIMPRMAN_11] Monthly raw climate, balances and frequency by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_12] Monthly raw balances and frequency by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_13] Quarterly seasonally adjusted export and capacity utilisation
- [111_263_DF_DCSC_FIDIMPRMAN_14] Quarterly raw export and capacity utilisation - rip.
- [111_263_DF_DCSC_FIDIMPRMAN_15] Quarterly raw export and capacity utilisation by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_16] Quarterly raw export and capacity utilisation by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_1] Monthly seasonally adjusted climate and balances
- [111_263_DF_DCSC_FIDIMPRMAN_2] Monthly raw climate, balances and frequency - geographical areas
- [111_263_DF_DCSC_FIDIMPRMAN_3] Monthly raw climate, balances and frequency by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_4] Monthly raw balances and frequency by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_5] Quarterly seasonally adjusted export and capacity utilisation
- [111_263_DF_DCSC_FIDIMPRMAN_6] Quarterly raw export and capacity utilisation - rip.
- [111_263_DF_DCSC_FIDIMPRMAN_7] Quarterly raw export and capacity utilisation by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_8] Quarterly raw export and capacity utilisation by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_1] Monthly seasonally adjusted climate and balances
- [111_263_DF_DCSC_FIDIMPRMAN_2] Monthly raw climate, balances and frequency - geographical areas
- [111_263_DF_DCSC_FIDIMPRMAN_3] Monthly raw climate, balances and frequency by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_4] Monthly raw balances and frequency by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_5] Quarterly seasonally adjusted export and capacity utilisation
- [111_263_DF_DCSC_FIDIMPRMAN_6] Quarterly raw export and capacity utilisation - rip.
- [111_263_DF_DCSC_FIDIMPRMAN_7] Quarterly raw export and capacity utilisation by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_8] Quarterly raw export and capacity utilisation by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_17] Monthly seasonally adjusted climate and balances
- [111_263_DF_DCSC_FIDIMPRMAN_18] Monthly raw climate, balances and frequency - geographical areas
- [111_263_DF_DCSC_FIDIMPRMAN_19] Monthly raw climate, balances and frequency by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_20] Monthly raw balances and frequency by size class of persons employed
- [111_263_DF_DCSC_FIDIMPRMAN_21] Quarterly seasonally adjusted export and capacity utilisation
- [111_263_DF_DCSC_FIDIMPRMAN_22] Quarterly raw export and capacity utilisation - rip.
- [111_263_DF_DCSC_FIDIMPRMAN_23] Quarterly raw export and capacity utilisation by NACE
- [111_263_DF_DCSC_FIDIMPRMAN_24] Quarterly raw export and capacity utilisation by size class of persons employed
- [120_337_DF_DCSC_COMMDET_1_10] Retail trade sales by type of product and type of sales - Monthly data (base 2005)
- [120_337_DF_DCSC_COMMDET_1_11] Retail trade sales by type of product and employment size class - Monthly data (base 2005)
- [120_337_DF_DCSC_COMMDET_1_5] Retail trade sales by type of sales and employment size class - monthly data (base 2010)
- [120_337_DF_DCSC_COMMDET_1_6] Retail trade sales by type of product and type of sales - monthly data (base 2010)
- [120_337_DF_DCSC_COMMDET_1_7] Retail trade sales by type of product and employment size class - monthly data (base 2010)
- [120_337_DF_DCSC_COMMDET_1_8] Retail trade sales index by type of product - monthly data (base 2010)
- [120_337_DF_DCSC_COMMDET_1_9] Retail trade sales by type of sales and employment size class - Monthly data (base 2005)
- [120_337_DF_DCSC_COMMDET_1_1] Retail trade sales by type of product employment size class- monthly data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_2] Retail trade sales by type of product and type of sales - monthly data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_3] Retail trade sales by type of product - monthly raw data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_4] Volume of retail trade sales index by type of product - monthly data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_1] Retail trade sales by type of product employment size class- monthly data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_2] Retail trade sales by type of product and type of sales - monthly data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_3] Retail trade sales by type of product - monthly raw data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_4] Volume of retail trade sales index by type of product - monthly data (base 2015)
- [120_337_DF_DCSC_COMMDET_1_12] Retail trade sales by type of product employment size class - monthly data (base 2021)
- [120_337_DF_DCSC_COMMDET_1_13] Retail trade sales by type of product and type of sales - monthly data (base 2021)
- [120_337_DF_DCSC_COMMDET_1_14] Retail trade sales by type of product - monthly raw data (base 2021)
- [120_337_DF_DCSC_COMMDET_1_15] Volume of retail trade sales index by type of product - monthly data (base 2021)
- [121_393_DF_DCSC_TRAMAR_1] Passengers and goods
- [121_393_DF_DCSC_TRAMAR_2] Passengers for each port by direction
- [121_393_DF_DCSC_TRAMAR_3] Goods for port by direction, by tipe of cargo and goods NST 2007
- [121_393_DF_DCSC_TRAMAR_4] International goods by country of origin or destination and type of goods NST 2007 (Countries that transport more than one million tons)
- [121_393_DF_DCSC_TRAMAR_5] National goods by italian region of loading or destination
- [121_393_DF_DCSC_TRAMAR_6] Goods, number and gross tonnage of vessel by italian region
- [117_1057_DF_DCSC_TRAFERR_1] Data summary
- [117_1057_DF_DCSC_TRAFERR_2] Passengers and average distance dy destination
- [117_1057_DF_DCSC_TRAFERR_3] Goods transported by type of goods (NST/2007)
- [117_1057_DF_DCSC_TRAFERR_4] Goods transported by destination country
- [117_1057_DF_DCSC_TRAFERR_5] Goods transported by origin caoutry
- [117_1057_DF_DCSC_TRAFERR_6] Intermodal transport
- [117_1057_DF_DCSC_TRAFERR_7] Dangerous goods
- [117_1057_DF_DCSC_TRAFERR_8] Rail transport accidents
- [121_329_DF_DCSC_TRAMERCIS2_1] Road freight transport by category of transport, distance class and type of transport
- [121_330_DF_DCSC_TRAMERCIS1_1] Goods carried by type of transport and distance class
- [121_330_DF_DCSC_TRAMERCIS1_2] Goods carried - tons by type of goods (chapter), loading and unloading region
- [121_330_DF_DCSC_TRAMERCIS1_3] Goods carried - tons- by type of transport, loading and unloading region
- [121_330_DF_DCSC_TRAMERCIS1_4] Goods carried by oading place and type of transport (domestic transport)
- [121_330_DF_DCSC_TRAMERCIS1_5] Goods carried by loading place and type of transport (total transport)
- [121_330_DF_DCSC_TRAMERCIS1_6] Goods carried by unloading place and type of transport (domestic transport)
- [121_330_DF_DCSC_TRAMERCIS1_7] Goods carried by unloading place and type of transport (total transport)
- [117_262_DF_DCSC_FIDIMPRSERV_10] Balance and frequency (Nace 2 digit) - Monthly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_11] Factors limiting production and capacity utilisation raw balance and frequency - Quaterly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_8] Climate and balance (Nace section) - Monthly data, raw and seasonally adjusted
- [117_262_DF_DCSC_FIDIMPRSERV_9] Climate, frequency and balance - Monthly data, raw and seasonally adjusted - Geographical areas
- [117_262_DF_DCSC_FIDIMPRSERV_5] Monthly seasonally adjusted climate and balance by NACE Rev. 2 - level national and geographical area
- [117_262_DF_DCSC_FIDIMPRSERV_6] Monthly raw balance, climate and frequency by NACE Rev.2 - level national and geografical area
- [117_262_DF_DCSC_FIDIMPRSERV_7] Quaterly factors limiting production and capacity utilisation raw balance and frequency -
- [117_262_DF_DCSC_FIDIMPRSERV_1] Climate and balance (Nace section) - Monthly data, raw and seasonally adjusted
- [117_262_DF_DCSC_FIDIMPRSERV_2] Climate, frequency and balance - Monthly data, raw and seasonally adjusted - Geographical areas
- [117_262_DF_DCSC_FIDIMPRSERV_3] Balance and frequency (Nace 2 digit) - Monthly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_4] Factors limiting production and capacity utilisation raw balance and frequency - Quaterly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_1] Climate and balance (Nace section) - Monthly data, raw and seasonally adjusted
- [117_262_DF_DCSC_FIDIMPRSERV_2] Climate, frequency and balance - Monthly data, raw and seasonally adjusted - Geographical areas
- [117_262_DF_DCSC_FIDIMPRSERV_3] Balance and frequency (Nace 2 digit) - Monthly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_4] Factors limiting production and capacity utilisation raw balance and frequency - Quaterly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_10] Balance and frequency (Nace 2 digit) - Monthly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_11] Factors limiting production and capacity utilisation raw balance and frequency - Quaterly raw data
- [117_262_DF_DCSC_FIDIMPRSERV_8] Climate and balance (Nace section) - Monthly data, raw and seasonally adjusted
- [117_262_DF_DCSC_FIDIMPRSERV_9] Climate, frequency and balance - Monthly data, raw and seasonally adjusted - Geographical areas
- [117_266_DF_DCSC_FIDCOMM_1] Climate and balances by type of sales - Monthly data seasonally adjusted
- [117_266_DF_DCSC_FIDCOMM_2] Climate, balances and frequencies by Nace Rev.2 and type of sales - Monthly raw data
- [117_266_DF_DCSC_FIDCOMM_5] Climate and balances by type of sales - Monthly data seasonally adjusted
- [117_266_DF_DCSC_FIDCOMM_6] Climate, balances and frequencies by Nace Rev.2 and type of sales - Monthly raw data
- [122_54_DF_DCSC_TUR_7] Movement of guests in the collective accommodation establishments by type of accommodation - annual data
- [122_54_DF_DCSC_TUR_8] Residents by region
- [122_54_DF_DCSC_TUR_9] Country of origin - prov
- [122_54_DF_DCSC_TUR_10] Type of locality and country of residence
- [18_635_DF_DCCV_CENERG_3] Heating - type of system by source and frequency use
- [9_951_DF_DCCV_CAVE_MIN_1] Extractive sites
- [9_951_DF_DCCV_CAVE_MIN_2] Non-energetic mineral resources extracted (units of weight)
- [9_951_DF_DCCV_CAVE_MIN_3] Non-energetic mineral resources extracted (units of volume)
- [9_951_DF_DCCV_CAVE_MIN_4] Natural mineral waters extracted for production purposes (in units of weight and volume)
- [9_951_DF_DCCV_CAVE_MIN_5] Extraction Intencity Indicator (in unit of weihgt and volume)
- [18_635_DF_DCCV_CENERG_10] Firewood and pellets - reg.
- [18_635_DF_DCCV_CENERG_11] Firewood - type and supply - reg.
- [18_635_DF_DCCV_CENERG_12] Bulbs - reg.
- [18_635_DF_DCCV_CENERG_13] Appliances - reg.
- [18_635_DF_DCCV_CENERG_1] Hoseholds expenditure for energy consumption
- [18_635_DF_DCCV_CENERG_2] Heating - availability, type and source - reg.
- [18_635_DF_DCCV_CENERG_4] Heating - frequency use - reg.
- [18_635_DF_DCCV_CENERG_6] Conditioner - availability, type of system and frequency of use - reg.
- [18_635_DF_DCCV_CENERG_7] Conditioner - operating schedule - reg.
- [18_635_DF_DCCV_CENERG_8] Water system - availability, type and source - reg.
- [18_635_DF_DCCV_CENERG_3] Heating - type of system by source and frequency use
- [18_635_DF_DCCV_CENERG_5] Heating - operating schedule - reg.
- [97_1027_DF_DCCN_PEFA_1] Supply and use: scheme
- [97_1027_DF_DCCN_PEFA_2] Supply by activity and energy flow
- [97_1027_DF_DCCN_PEFA_3] Use by activity and energy flow
- [97_1027_DF_DCCN_PEFA_4] Emission-relevant use by activity and energy flow (related to fuel combustion)
- [97_1027_DF_DCCN_PEFA_5B] Vectors of key energy indicators
- [97_1027_DF_DCCN_PEFA_6] Bridge table: energy consumption
- [97_1027_DF_DCCN_PEFA_7] Use of energy flows by type
- [97_1027_DF_DCCN_PEFA_8] Energy intensity
- [97_1027_DF_DCCN_PEFA_9] Emission intensity of energy consumption
- [97_953_DF_DCCN_SPESAPROTAMB_1] National expenditure
- [97_953_DF_DCCN_SPESAPROTAMB_2] Economic aggregates by institutional sector
- [97_953_DF_DCCN_SPESAPROTAMB_3] Gross fixed capital formation, intermediate consumption and ancillary output of corporations as ancillary producers by economic activity
- [83_63_DF_DCCV_AVQ_PERSONE_224] Entertainments - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_225] Entertainments - gender, age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_226] Entertainments - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_227] Entertainments - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_228] Tv and radio - sex, age and educational level
- [83_63_DF_DCCV_AVQ_PERSONE_229] Tv and radio - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_230] Tv and radio - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_231] Tv and radio - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_232] Newspapers and books - sex, age and educational level
- [83_63_DF_DCCV_AVQ_PERSONE_233] Newspapers and books - detail age
- [83_63_DF_DCCV_AVQ_PERSONE_234] Newspapers and books - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_235] Newspapers and books - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_236] Internet - sex, age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_237] Internet - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_238] Internet - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_239] Internet - reg. and type of municipalities
- [83_63_DF_DCCV_AVQ_PERSONE_240] PC - sex, age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_241] PC - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_242] PC - occupational status
- [83_63_DF_DCCV_AVQ_PERSONE_243] PC - reg. and type of municipality
- [60_130_DF_DCCV_ICT_1] Families and internet access
- [60_130_DF_DCCV_ICT_2] Families and internet access - reg. and type of municipalities
- [60_130_DF_DCCV_ICT_3] Families and type of connection - regions and type of municipalities
- [60_130_DF_DCCV_ICT_4] Internet activities
- [60_130_DF_DCCV_ICT_5] Internet activities - reg. and type of municipalities
- [60_130_DF_DCCV_ICT_6] Interaction with the public authorities
- [60_130_DF_DCCV_ICT_7] Interaction with the public authorities - reg. and type of municipalities
- [60_130_DF_DCCV_ICT_8] Purchases or orders
- [60_130_DF_DCCV_ICT_9] Purchases or orders - reg. and type of municipalities
- [60_130_DF_DCCV_ICT_10] Type of goods and services purchased
- [60_130_DF_DCCV_ICT_11] Type of goods and services purchased - reg. and type of municipalities
- [68_356_DF_DCCV_TURISTI_CAPI_1] Travelers for 100 residents
- [68_356_DF_DCCV_TURISTI_CAPI_2] Gender
- [68_356_DF_DCCV_TURISTI_CAPI_3] Gender and age class
- [68_356_DF_DCCV_TURISTI_CAPI_4] Professional status
- [68_356_DF_DCCV_TURISTI_CAPI_5] Destination
- [68_356_DF_DCCV_TURISTI_CAPI_6] Residence
- [68_356_DF_DCCV_TURISTI_CAPI_7] For business travelers
- [68_697_DF_DCCV_VIAGGI_CAPI_1] Holidays
- [68_697_DF_DCCV_VIAGGI_CAPI_2] Holiday trips of 4 or more overnight stays
- [68_697_DF_DCCV_VIAGGI_CAPI_3] Holiday trips for pleasure/leisure - annual data
- [68_697_DF_DCCV_VIAGGI_CAPI_4] Holiday trips for pleasure/leisure - quarterly data
- [68_697_DF_DCCV_VIAGGI_CAPI_5] Holiday trips for pleasure/leisure by main destination
- [68_697_DF_DCCV_VIAGGI_CAPI_6] Holiday trips for pleasure/leisure by lenght
- [68_697_DF_DCCV_VIAGGI_CAPI_7] Business trips
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_10] Region of destination
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_11] Foreign country of destination
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_1] Destination - quarterly data
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_2] Accomodation and destination
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_3] Means of transport and destination
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_4] Type of booking and trip in Italy or abroad (until 2018)
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_5] Type of booking and destination (until 2018)
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_6] Accomodation booking
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_7] Booking of the transport
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_8] Internet booking
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_9] Starting month
- [68_699_DF_DCCV_VIAGGI_RES_CAPI_1] Gender, age class
- [68_699_DF_DCCV_VIAGGI_RES_CAPI_2] Professional status
- [68_699_DF_DCCV_VIAGGI_RES_CAPI_3] Residence and destination
- [68_699_DF_DCCV_VIAGGI_RES_CAPI_4] Residence and type of trip
- [68_699_DF_DCCV_VIAGGI_RES_CAPI_5] Holidays - residence and type of accommodation
- [68_699_DF_DCCV_VIAGGI_RES_CAPI_6] Holidays - residence and means of transport
- [68_698_DF_DCCV_VIAGGI_CHARACT_CAPI_12] Trip per capital
- [68_357_DF_DCCV_TURNOT_CAPI_1] Overnight stays in Italy and region of destination
- [68_357_DF_DCCV_TURNOT_CAPI_2] Overnight stays abroad and country of destination
- [68_357_DF_DCCV_TURNOT_CAPI_3] Type of trip
- [68_357_DF_DCCV_TURNOT_CAPI_4] Gender and age class
- [68_357_DF_DCCV_TURNOT_CAPI_5] Professional status
- [68_357_DF_DCCV_TURNOT_CAPI_6] Destination and residence
- [68_357_DF_DCCV_TURNOT_CAPI_7] Destination and type of accommodation
- [68_357_DF_DCCV_TURNOT_CAPI_8] Average number of overnight stays for trips
- [68_357_DF_DCCV_TURNOT_CAPI_9] Vacation nights for 1,000 residents (daily averages)
- [68_371_DF_DCCV_TURISTI_10] Employed aged 15 and over who made business trips by quarter. Absolute values (in thousands) - Sub National Data
- [68_371_DF_DCCV_TURISTI_11] Employed aged 15 and over who made business trips by gender and quarter. Share per 100 inhabitans with the same characteristics - National Data
- [68_371_DF_DCCV_TURISTI_12] Employed aged 15 and over who made business trips by quarter. Share per 100 inhabitans with the same characteristics- Sub National Data
- [68_371_DF_DCCV_TURISTI_13] Persons aged 15 and over who made trips by type of trip, employment situation and quarter. Absolute values (in thousands) - National Data
- [68_371_DF_DCCV_TURISTI_14] Persons aged 15 and over who made trips by type of trip, employment situation and quarter. Share per 100 inhabitants with the same characteristics - National Data
- [68_371_DF_DCCV_TURISTI_15] Persons who made trips. Average value of the 4 quarters. Share per 100 inhabitants - Sub National Data
- [68_371_DF_DCCV_TURISTI_16] Employed aged 15 and over who made business trips. Average value of the 4 quarters. Absolute values (in thousands) - Sub National Data
- [68_371_DF_DCCV_TURISTI_17] Employed aged 15 and over who made business trips. Average value of the 4 quarters. Share per 100 inhabitans with the same characteristics - Sub National Data
- [68_371_DF_DCCV_TURISTI_18] Type of trip and destination
- [68_371_DF_DCCV_TURISTI_19] Type of trip and gender
- [68_371_DF_DCCV_TURISTI_1] Persons who made trips by type of trip, destination and quarter. Absolute values (in thousands) - National Data
- [68_371_DF_DCCV_TURISTI_20] Type of trip and age group
- [68_371_DF_DCCV_TURISTI_21] Type of trip and employment situation
- [68_371_DF_DCCV_TURISTI_22] Sub National Data
- [68_371_DF_DCCV_TURISTI_23] Average value
- [68_371_DF_DCCV_TURISTI_24] Gender
- [68_371_DF_DCCV_TURISTI_25] Sub National Data
- [68_371_DF_DCCV_TURISTI_26] Average values
- [68_371_DF_DCCV_TURISTI_2] Persons who made trips by type of trip, gender and quarter. Absolute values (in thousands) - National Data
- [68_371_DF_DCCV_TURISTI_3] Persons who made trips by type of trip, age group and quarter. Absolute values (in thousands) - National Data
- [68_371_DF_DCCV_TURISTI_4] Persons who made trips by type of trip and quarter. Absolute values (in thousands) - Sub National Data
- [68_371_DF_DCCV_TURISTI_5] Persons who made trips by type of trip, destination and quarter. Share per 100 inhabitants - National Data
- [68_371_DF_DCCV_TURISTI_6] Persons who made trips by type of trip and quarter. Share per 100 inhabitants - Sub National Data
- [68_371_DF_DCCV_TURISTI_7] Persons who made trips by type of trip, gender and quarter. Share per 100 inhabitants with the same characteristics - National Data
- [68_371_DF_DCCV_TURISTI_8] Persons who made trips by type of trip, age group and quarter. Share per 100 inhabitants with the same characteristics - National Data
- [68_371_DF_DCCV_TURISTI_9] Employed aged 15 and over who made business trips by gender and quarter. Absolute values (in thousands) - National Data
- [68_370_DF_DCCV_NON_TURISTI_1] Persons not participating in holidays by main reason and quarter. Absolute values (in thousands) - National Data
- [68_370_DF_DCCV_NON_TURISTI_2] Persons not participating in holidays by main reason and quarter.-Percentage compositions - National Data
- [68_370_DF_DCCV_NON_TURISTI_3] Main reasons
- [68_365_DF_DCCV_VIAGGI_10] Holidays trips for main purpose
- [68_365_DF_DCCV_VIAGGI_11] Holiday trips of 4 or more overnight stays
- [68_365_DF_DCCV_VIAGGI_12] Holiday trips for pleasure (until 2012)
- [68_365_DF_DCCV_VIAGGI_13] Holiday trips for pleasure and destination (v.p. from 2013)
- [68_365_DF_DCCV_VIAGGI_14] Business trips by main purpose
- [68_365_DF_DCCV_VIAGGI_1] Holiday trips by main purpose and duration. Absolute values (in thousands) - National Data
- [68_365_DF_DCCV_VIAGGI_2] Holiday trips by main purpose and duration. Percentage values on holiday trips with the same duration- National Data
- [68_365_DF_DCCV_VIAGGI_3] Holiday trips of 4 or more overnight stays by quarter and duration. Absolute values (in thousands) - National Data
- [68_365_DF_DCCV_VIAGGI_4] Holiday trips of 4 or more overnight stays by quarter and duration. Percentage values on holiday trips of 4 or more overnight stays made during the reporting
- [68_365_DF_DCCV_VIAGGI_5] Holiday trips for pleasure/leisure by type of holiday and duration - Absolute values (in thousands) - National Data
- [68_365_DF_DCCV_VIAGGI_6] Holiday trips for pleasure/leisure by type of holiday and duration - Percentage values on holiday trips with the same duration - National Data
- [68_365_DF_DCCV_VIAGGI_7] Holiday trips for pleasure/leisure by type of destination-share per 100 trips with the same destination - National Data
- [68_365_DF_DCCV_VIAGGI_8] Business trips by main purpose. Absolute values (in thousands) - National Data
- [68_365_DF_DCCV_VIAGGI_9] Business trips by main purpose. Percentage values on business trips - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_10] Holidays and Business Trips by main destination and main accomodation. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_11] Trips by quarter and type of trip. Percentage values on trips made during the reporting period - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_12] Trips by main destination and organization. Percentage values on trips with the same destination - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_13] Trips by starting year, month and type of trip. Percentage values on trips of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_14] Trips by main destination and type of trip. Percentage values on trips of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_15] Trips by organization of accomodation and type of trip. Percentage values on trips of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_16] Trips by organization of transport and type of trip. Percentage values on trips of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_17] Trips with accommodation and transport booked via Internet by type of trip. Percentage values on trips of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_18] Trips by main destination, organization and type of trip. Percentage values on trips of the same type and with the same destination - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_19] Holidays and Business Trips by main destination and main means of transport. Percentage values on trips of the same type and with the same destination - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_1] Trips by quarter, main destination and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_20] Holidays and Business Trips by main destination and main accomodation. Percentage values on trips of the same type and with the same destination - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_21] Trips abroad by country of destination and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_22] Trips abroad by country of destination and type of trip. Percentage values on trips abroad of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_23] Trips in Italy by region of destination and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_24] Trips abroad by region of destination and type of trip. Percentage values on trips in Italy of the same type - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_25] Average trip per capita by geographical area
- [68_380_DF_DCCV_VIAGGI_CHARACT_2] Trips by starting year, month and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_3] Trips by main destination and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_4] Trips by main destination, organization and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_5] Trips by main destination and organization. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_6] Trips by organization of accomodation and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_7] Trips by organization of transport and type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_8] Trips with accommodation and transport booked via Internet by type of trip. Absolute values (in thousands) - National Data
- [68_380_DF_DCCV_VIAGGI_CHARACT_9] Holidays and Business Trips by main destination and main means of transport. Absolute values (in thousands) - National Data
- [68_359_DF_DCCV_VIAGGI_RES_10] Trips by gender and type of trip. Percentage values on trips of the same type - National Data
- [68_359_DF_DCCV_VIAGGI_RES_11] Trips by age group and type of trip. Percentage values on trips of the same type - National Data
- [68_359_DF_DCCV_VIAGGI_RES_12] Trips by type of trip and origin. Percentage values on trips of the same type - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_13] Trips by type of trip, origin e destination. Percentage values on trips of the same type and with the same destination - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_14] Trips by gender, age group and type of trip. Percentage values on trips of the same type made by people with same characteristics - National Data
- [68_359_DF_DCCV_VIAGGI_RES_15] Trips by destination and type of trip. Percentage values on trips of the same type made by people with the same origin - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_16] Trips made by residend aged 15 and over by employment status and type of trip. Percentage values on trips of the same type - National Data
- [68_359_DF_DCCV_VIAGGI_RES_17] Holidays by duration, main means of transport and origin. Percentage values on holiday trips of the same duration and with the same origin of person who made holiday - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_18] Holidays by duration, main accomodation and origin. Percentage values on holiday trips of the same duration and with the same origin of person who made holiday - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_1] Trips by gender, age group and type of trip. Absolute values (in thousands) - National Data
- [68_359_DF_DCCV_VIAGGI_RES_2] Trips by origin and type of trip. Absolute values (in thousands) - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_3] Trips by type of trip, origin e destination. Absolute values (in thousands) - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_4] Trips by origin and type of trip. Absolute values (in thousands) - Type of municipality
- [68_359_DF_DCCV_VIAGGI_RES_5] Trips made by residend aged 15 and over by employment status and type of trip. Absolute values (in thousands) - National Data
- [68_359_DF_DCCV_VIAGGI_RES_6] Holidays by duration, main means of transport and origin. Absolute values (in thousands) - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_7] Holidays by duration, main accomodation and origin. Absolute values (in thousands) - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_8] Trips by origin and type of trip. Percentage values on trips with the same origin of person who made trip - Sub National Data
- [68_359_DF_DCCV_VIAGGI_RES_9] Trips by origin and type of trip. Percentage values on trips with the same origin of person who made trip- Type of municipality
- [68_381_DF_DCCV_TURNOT_10] Overnight stays for main destination and type of trip. Percentage values on overnight stays for trips of the same type - National Data
- [68_381_DF_DCCV_TURNOT_11] Overnight stays for trips by main destination, main type of accommodation and type of trip. Percentage values on overnight stays for trips of the same type and with the same destination - National Data
- [68_381_DF_DCCV_TURNOT_12] Overnight stays for main destination and type of trip. Percentage values on overnight stays for trips of the same type and with the same destination - Sub National Data
- [68_381_DF_DCCV_TURNOT_13] Overnight stays for main destination and type of trip. Percentage values on overnight stays for trips of the same type and with the same origin of person who made trip - Sub National Data
- [68_381_DF_DCCV_TURNOT_14] Overnight stays for trips by gender, age group and type of trip. Percentage values on overnight stays for trips of the same type made by people with the same sex - National Data
- [68_381_DF_DCCV_TURNOT_15] Overnight stays in Italy by region of destination and type of trip. Percentage values on overnight stays for trips in Italy of the same type - National Data
- [68_381_DF_DCCV_TURNOT_16] Overnight stays abroad by country of destination and type of trip. Percentage values on overnight stays for trips abroad of the same type - National Data
- [68_381_DF_DCCV_TURNOT_17] Overnight stays for trips made by residend aged 15 and over by employment status and type of trip. Percentage values on overnight stays for trips of the same type - National Data
- [68_381_DF_DCCV_TURNOT_18] Average number of overnight stays for trips by quarter, main destination and type of trip - National Data
- [68_381_DF_DCCV_TURNOT_19] Average daily presence (overnight stays) of holiday. Share per 1000 inhabitants - National Data
- [68_381_DF_DCCV_TURNOT_1] Overnight stays for trips by quarter, main destination and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_2] Overnight stays for trips by main destination, main type of accommodation and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_3] Overnight stays for main destination and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_4] Overnight stays for trips by gender, age group and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_5] Overnight stays for main destination and type of trip. Absolute values (in thousands) - Sub National Data
- [68_381_DF_DCCV_TURNOT_6] Overnight stays in Italy by region of destination and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_7] Overnight stays abroad by country of destination and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_8] Overnight stays for trips made by residend aged 15 and over by employment status and type of trip. Absolute values (in thousands) - National Data
- [68_381_DF_DCCV_TURNOT_9] Overnight stays for holiday and business trips by quarter. Percentage values on total overnight stays for trips - National Data
- [83_85_DF_DCCV_AVQ_PERSONE1_201] Persons who went on holiday - time series
- [83_85_DF_DCCV_AVQ_PERSONE1_202] Persons who went on holiday - age class
- [83_85_DF_DCCV_AVQ_PERSONE1_203] Persons who went on holiday - educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_204] Persons who went on holiday - occupational status
- [83_85_DF_DCCV_AVQ_PERSONE1_205] Persons who went on holiday - number of periods
- [83_85_DF_DCCV_AVQ_PERSONE1_206] Persons who didn't go on holiday - time series
- [83_85_DF_DCCV_AVQ_PERSONE1_208] Persons who didn't go on holiday - educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_209] Persons who didn't go on holiday - occupational status
- [83_85_DF_DCCV_AVQ_PERSONE1_210] Persons who didn't go on holiday - main reasons
- [83_85_DF_DCCV_AVQ_PERSONE1_207] Persons who didn't go on holiday - age class
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_1] Holidays
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_2] Holiday trips of 4 or more overnight stays
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_3] Holiday trips for pleasure/leisure - annual data
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_4] Holiday trips for pleasure/leisure - quarterly data
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_5] Holiday trips for pleasure/leisure by main destination
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_6] Holiday trips for pleasure/leisure by lenght
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_7] Business trips
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_8] Cultural trips - quarterly data
- [68_1221_DF_DCCV_VIAGGI_CAPI_2_9] Cultural trips by type of activity
- [68_1220_DF_DCCV_VIAGGI_ORG_1] Accomodation booking
- [68_1220_DF_DCCV_VIAGGI_ORG_2] Accomodation booking
- [68_1220_DF_DCCV_VIAGGI_ORG_3] Internet booking
- [68_1220_DF_DCCV_VIAGGI_ORG_4] Accommodation booking via internet
- [68_1220_DF_DCCV_VIAGGI_ORG_5] Transport booking via internet
- [533_957_DF_DCSC_RACLI_10] Contry of birth - provincial data
- [533_957_DF_DCSC_RACLI_11] Level of education - provincial data
- [533_957_DF_DCSC_RACLI_12] Type of contract - provincial data
- [533_957_DF_DCSC_RACLI_13] Worting time- provincial data
- [533_957_DF_DCSC_RACLI_14] Employees class - provincial data
- [533_957_DF_DCSC_RACLI_15] Contractual occupation - provincial data
- [533_957_DF_DCSC_RACLI_16] Paid days- provincial data
- [533_957_DF_DCSC_RACLI_8] Gender - provincial data
- [533_957_DF_DCSC_RACLI_9] Age class - provincial data
- [533_957_DF_DCSC_RACLI_17] Gender - 2 digit
- [533_957_DF_DCSC_RACLI_18] Age class - 2 digit
- [533_957_DF_DCSC_RACLI_19] Country of birth - 2 digit
- [533_957_DF_DCSC_RACLI_20] Level of education - 2 digit
- [533_957_DF_DCSC_RACLI_21] Type of contract - 2 digit
- [533_957_DF_DCSC_RACLI_22] Worting time - 2 digit
- [533_957_DF_DCSC_RACLI_23] Employees class - 2 digit
- [533_957_DF_DCSC_RACLI_24] Contractual occupation - 2 digit
- [533_957_DF_DCSC_RACLI_25] Paid days - 2 digit
- [533_957_DF_DCSC_RACLI_1] Age class
- [533_957_DF_DCSC_RACLI_2] Hourly wages by country of birth
- [533_957_DF_DCSC_RACLI_3] Level of education
- [533_957_DF_DCSC_RACLI_4] Kind of labour contract
- [533_957_DF_DCSC_RACLI_5] Hourly wages by Full-time_Part-time
- [533_957_DF_DCSC_RACLI_6] Hourly wages by employees class
- [533_957_DF_DCSC_RACLI_7] Hourly wages by paid days
- [534_49_DF_DCSC_GI_ORE_6] Hours worked per employee (base 2010)
- [534_49_DF_DCSC_GI_ORE_7] Hours worked per employee - Nace 3 digit (base 2010)
- [534_49_DF_DCSC_GI_ORE_8] Overtime hours and short-time working allowance hours (base 2010)
- [534_49_DF_DCSC_GI_ORE_10] Strike hours (base 2010)
- [534_49_DF_DCSC_GI_ORE_11] Hours worked per employee (base 2005)
- [534_49_DF_DCSC_GI_ORE_12] Overtime hours and short-time working allowance hours (base 2005)
- [534_49_DF_DCSC_GI_ORE_13] Strike hours (base 2005)
- [534_49_DF_DCSC_GI_ORE_9] Overtime hours and short-time working allowance hours - Nace 3 digit (base 2010)
- [534_50_DF_DCSC_GI_OCC_10] Part time employment share - Nace 2 digit (base 2010)
- [534_50_DF_DCSC_GI_OCC_11] Inflow and outflow rates (base 2010)
- [534_50_DF_DCSC_GI_OCC_12] Inflow and outflow rates - Nace 3 digit (base 2010)
- [534_50_DF_DCSC_GI_OCC_13] Employment (base 2005)
- [534_50_DF_DCSC_GI_OCC_14] Part time employment share (base 2005)
- [534_50_DF_DCSC_GI_OCC_15] Inflow and outflow rates (base 2005)
- [534_50_DF_DCSC_GI_OCC_7] Employment (base 2010)
- [534_50_DF_DCSC_GI_OCC_8] Employment - Nace 3 digit (base 2010)
- [534_50_DF_DCSC_GI_OCC_9] Part time employment share (base 2010)
- [535_194_DF_DCSC_GI_RE_4] Raw data (base 2010)
- [535_194_DF_DCSC_GI_RE_5] Raw data - Nace 3 digit (base 2010)
- [535_194_DF_DCSC_GI_RE_6] Seasonally adjusted data (base 2010)
- [535_194_DF_DCSC_GI_RE_7] Raw data (base 2005)
- [535_194_DF_DCSC_GI_RE_8] Seasonally adjusted (data base 2005)
- [536_193_DF_DCSC_GI_COS_4] Raw data (base 2010)
- [536_193_DF_DCSC_GI_COS_5] Raw data - Nace 3 digit (base 2010)
- [536_193_DF_DCSC_GI_COS_6] Seasonally adjusted data (base 2010)
- [536_193_DF_DCSC_GI_COS_7] Raw data (base 2005)
- [536_193_DF_DCSC_GI_COS_8] Seasonally adjusted data (base 2005)
- [155_358_DF_DCSC_RETRATECO1_3] Hourly wages and wages per employee (base 2010)
- [155_358_DF_DCSC_RETRATECO1_4] Cash wages per employee (base 2010)
- [155_358_DF_DCSC_RETRATECO1_5] Hourly wages and wages per employee (base 2005)
- [155_358_DF_DCSC_RETRATECO1_6] Cash wages per employee (base 2005)
- [155_358_DF_DCSC_RETRATECO1_1] Hourly wages and wages per employee (base 2015)
- [155_358_DF_DCSC_RETRATECO1_2] Cash wages per employee (base 2015)
- [155_358_DF_DCSC_RETRATECO1_1] Hourly wages and wages per employee (base 2015)
- [155_358_DF_DCSC_RETRATECO1_2] Cash wages per employee (base 2015)
- [155_358_DF_DCSC_RETRATECO1_7] Hourly wages and wages per employee (base 2021)
- [155_358_DF_DCSC_RETRATECO1_8] Cash wages per employee (base 2021)
- [150_938_DF_DCCV_OCCUPATIT1_10] Employment (thousands) - Nace 2007 - professional status, full-time/part-time
- [150_938_DF_DCCV_OCCUPATIT1_11] Employment (thousands) - Nace 2007 (detail) - professional status
- [150_938_DF_DCCV_OCCUPATIT1_12] Employment (thousands) - Nace 2007 - professional status detailed
- [150_938_DF_DCCV_OCCUPATIT1_13] Employment (thousands) - Nace 2007 - employees, temporary employees, age
- [150_938_DF_DCCV_OCCUPATIT1_8] Employment (thousands) - Nace 2007 - professional status, age
- [150_938_DF_DCCV_OCCUPATIT1_9] Employment (thousands) - Nace 2007 - professional status, citizenship
- [150_938_DF_DCCV_OCCUPATIT1_16] Employment (thousands) - Age
- [150_938_DF_DCCV_OCCUPATIT1_17] Employment (thousands) - Highest level of education attained
- [150_938_DF_DCCV_OCCUPATIT1_18] Employment (thousands) - Professional status, full-time/part-time
- [150_938_DF_DCCV_OCCUPATIT1_19] Employment (thousands) - Nace 2007 - pofessional status - quarterly data
- [150_938_DF_DCCV_OCCUPATIT1_20] Employment (thousands) - Employees - temporary employees
- [150_938_DF_DCCV_OCCUPATIT1_1] Employment (thousands) - Age class
- [150_938_DF_DCCV_OCCUPATIT1_2] Employment (thousands) - Highest level of education attained, citizenship, age
- [150_938_DF_DCCV_OCCUPATIT1_3] Employment (thousands) - Professional status detailed
- [150_938_DF_DCCV_OCCUPATIT1_4] Employment (thousands) - Full-time/part-time, professional status, age
- [150_938_DF_DCCV_OCCUPATIT1_5] Employment (thousands) - Full-time/part-time, citizenship
- [150_938_DF_DCCV_OCCUPATIT1_6] Employment (thousands) - Employees by temporary employees/permanent employees, full-time/part-time, age
- [150_938_DF_DCCV_OCCUPATIT1_7] Employment (thousands) - Employees by temporary employees/permanent employees, citizenship
- [150_915_DF_DCCV_TAXOCCU1_1] Age class
- [150_915_DF_DCCV_TAXOCCU1_2] Highest level of education attained, age
- [150_915_DF_DCCV_TAXOCCU1_3] Highest level of education attained, citizenship, age
- [150_915_DF_DCCV_TAXOCCU1_4] Regional data
- [150_915_DF_DCCV_TAXOCCU1_5] Provincial data
- [150_908_DF_DCCV_FORZLV1_1] Age class
- [150_908_DF_DCCV_FORZLV1_2] Highest level of education attained, age
- [150_908_DF_DCCV_FORZLV1_3] Citizenship, highest level of education attained, age
- [150_908_DF_DCCV_FORZLV1_4] Regional data - gender
- [150_908_DF_DCCV_FORZLV1_5] Regional data - age
- [150_908_DF_DCCV_FORZLV1_6] Regional data - highest level of education attained
- [150_908_DF_DCCV_FORZLV1_7] Provincial data
- [151_929_DF_DCCV_DISOCCUPT1_1] Age class
- [151_929_DF_DCCV_DISOCCUPT1_2] Highest level of education attained, age
- [151_929_DF_DCCV_DISOCCUPT1_3] Citizenship
- [151_929_DF_DCCV_DISOCCUPT1_4] Labour status, long term unemployment
- [151_929_DF_DCCV_DISOCCUPT1_5] Regional data - highest level of education attained
- [151_929_DF_DCCV_DISOCCUPT1_6] Regional data - labour status
- [151_929_DF_DCCV_DISOCCUPT1_7] Provincial data
- [151_914_DF_DCCV_TAXDISOCCU1_1] Age class
- [151_914_DF_DCCV_TAXDISOCCU1_2] Highest level of education attained, age
- [151_914_DF_DCCV_TAXDISOCCU1_3] Highest level of education attained, citizenship
- [151_914_DF_DCCV_TAXDISOCCU1_4] Duration of unemployment
- [151_914_DF_DCCV_TAXDISOCCU1_5] Regional data - age
- [151_914_DF_DCCV_TAXDISOCCU1_6] Regional data - highest level of education attained
- [151_914_DF_DCCV_TAXDISOCCU1_7] Regional data - duration of unemployment
- [151_914_DF_DCCV_TAXDISOCCU1_8] Provincial data
- [152_928_DF_DCCV_INATTIV1_10] Provincial data
- [152_928_DF_DCCV_INATTIV1_1] Age class
- [152_928_DF_DCCV_INATTIV1_2] Highest level of education attained, age
- [152_928_DF_DCCV_INATTIV1_3] Citizenship, age
- [152_928_DF_DCCV_INATTIV1_4] Labour status, gender
- [152_928_DF_DCCV_INATTIV1_5] Inactivity reasons
- [152_928_DF_DCCV_INATTIV1_6] Main status
- [152_928_DF_DCCV_INATTIV1_7] Regional data - age
- [152_928_DF_DCCV_INATTIV1_8] Regional data - highest level of education attained
- [152_928_DF_DCCV_INATTIV1_9] Regional data - labour status
- [152_913_DF_DCCV_TAXINATT1_1] Age class
- [152_913_DF_DCCV_TAXINATT1_2] Highest level of education attained, age
- [152_913_DF_DCCV_TAXINATT1_3] Highest level of education attained, citizenship
- [152_913_DF_DCCV_TAXINATT1_4] Regional data
- [152_913_DF_DCCV_TAXINATT1_5] Provincial data
- [723_1041_DF_DCCV_COPPIECOND_1] Presence of employed partners, working time, woman's age and number of children
- [723_1041_DF_DCCV_COPPIECOND_2] Presence of employed partners, working time, woman's age and age of youngest child
- [723_1041_DF_DCCV_COPPIECOND_3] Presence of employed partners, working time, age and highest level of education atteined by the woman
- [723_1041_DF_DCCV_COPPIECOND_4] Labour status of partners, presence of children and highest level of education atteined by the woman
- [723_1041_DF_DCCV_COPPIECOND_5] Regional data
- [723_1040_DF_DCCV_RUOLOFAMCOND_1] Employed, unemployed and inactive persons by age
- [723_1040_DF_DCCV_RUOLOFAMCOND_2] Employed, unemployed and inactive persons by highest level of education
- [723_1040_DF_DCCV_RUOLOFAMCOND_3] Employed, unemployed and inactive persons by citizenship
- [723_1040_DF_DCCV_RUOLOFAMCOND_4] Employed, unemployed and inactive parents by number of children
- [723_1040_DF_DCCV_RUOLOFAMCOND_5] Employed unemployed and inactive parents by age of youngest child
- [723_1040_DF_DCCV_RUOLOFAMCOND_6] Rates by age
- [723_1040_DF_DCCV_RUOLOFAMCOND_7] Rates of parents by number of children
- [723_1040_DF_DCCV_RUOLOFAMCOND_8] Rates of parents by age of youngest child
- [723_1206_DF_DCCV_FAMCOND1_UNT2020_1] Presence of employed, retired and unemployed persons
- [723_1206_DF_DCCV_FAMCOND1_UNT2020_2] Presence of employed persons and foreign members
- [723_1206_DF_DCCV_FAMCOND1_UNT2020_3] Type of employment
- [723_1206_DF_DCCV_FAMCOND1_UNT2020_4] Regional data
- [723_1207_DF_DCCV_COPPIECOND_UNT2020_1] Presence of employed partners, working time, woman's age and number of children
- [723_1207_DF_DCCV_COPPIECOND_UNT2020_2] Presence of employed partners, working time, woman's age and age of youngest childage and number of children
- [723_1207_DF_DCCV_COPPIECOND_UNT2020_3] Presence of employed partners, working time, age and highest level of education atteined by the woman
- [723_1207_DF_DCCV_COPPIECOND_UNT2020_4] Labour status of partners and woman's age
- [723_1207_DF_DCCV_COPPIECOND_UNT2020_5] Labour status of partners, presence of children and highest level of education atteined by the woman
- [723_1207_DF_DCCV_COPPIECOND_UNT2020_6] Regional data
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_1] Employed, unemployed and inactive persons by age
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_2] Employed, unemployed and inactive persons by highest level of education
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_3] Employed, unemployed and inactive persons by citizenship
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_4] Employed, unemployed and inactive parents by number of children
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_5] Employed unemployed and inactive parents by age of youngest child
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_6] Rates by age
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_7] Rates of parents by number of children
- [723_1208_DF_DCCV_RUOLOFAMCOND_UNT2020_8] Rates of parents by age of youngest child
- [150_1174_DF_DCCV_OCCUPATITDE1_UNT2020_1] Professional status, permanent or temporary employees
- [150_1174_DF_DCCV_OCCUPATITDE1_UNT2020_2] Sectors of economic activity
- [150_1174_DF_DCCV_OCCUPATITDE1_UNT2020_3] Gender, age
- [150_1174_DF_DCCV_OCCUPATITDE1_UNT2020_4] Geographical areas
- [150_1189_DF_DCCV_TAXOCCU1_UNT2020_5] Dal I 1977 - età
- [150_1189_DF_DCCV_TAXOCCU1_UNT2020_6] Since I 1977 - highest level of education attained
- [150_1189_DF_DCCV_TAXOCCU1_UNT2020_7] Since IV 1992 - age detail
- [150_1189_DF_DCCV_TAXOCCU1_UNT2020_8] Since IV 1992 - highest level of education attained, age
- [150_1189_DF_DCCV_TAXOCCU1_UNT2020_9] Since IV 1992 - regional data
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_7] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - professional status, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_8] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - professional status, citizenship
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_9] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - professional status, full-time/part-time
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_11] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - professional status detailed
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_12] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - employees, temporary employees, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_13] Employment (thousands) - previous regulation (until 2020)- Nace 2002 - professional status, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_14] Employment (thousands) - previous regulation (until 2020)- Nace 2002 - professional status, citizenship
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_15] Employment (thousands) - previous regulation (until 2020)- Nace 2002 - professional status, full-time/part-time
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_16] Employment (thousands) - previous regulation (until 2020)- Nace 2002 (detail) - professional status
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_17] Employment (thousands) - previous regulation (until 2020)- Nace 2002 - professional status detailed
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_18] Nace 2001 - employees, temporary employees, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_19] Employment (thousands) - previous regulation (until 2020)- Nace 2002, Nace 2007 (2008-2010)
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_10] Employment (thousands) - previous regulation (until 2020)- Nace 2007 (detail) - professional status
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_20] Employment (thousands) - previous regulation (until 2020)- Occupation 2011 (detail)
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_21] Employment (thousands) - previous regulation (until 2020)- Occupation 2011, citizenship
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_22] Employment (thousands) - previous regulation (until 2020)- Occupation 2001 (detail)
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_23] Employment (thousands) - previous regulation (until 2020)- Occupation 2001, citizenship
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_24] Employment (thousands) - previous regulation (until 2020)- Age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_25] Employment (thousands) - previous regulation (until 2020)- Highest level of education attained
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_26] Employment (thousands) - previous regulation (until 2020)- Professional status, full-time/part-time
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_27] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - pofessional status - quarterly data
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_28] Employment (thousands) - previous regulation (until 2020)- Employees - temporary employees
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_29] Employment (thousands) - previous regulation (until 2020)- Gender
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_30] Employment (thousands) - previous regulation (until 2020)- Nace 2007 - professional status
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_31] Employment (thousands) - previous regulation (until 2020)- Nace 2002 - professional status
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_32] Employment (thousands) - previous regulation (until 2020)- Since I 1977 - age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_33] Employment (thousands) - previous regulation (until 2020)- Since I 1977 - highest level of education attained
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_34] Employment (thousands) - previous regulation (until 2020)- Since I 1977 - professional status
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_35] Employment (thousands) - previous regulation (until 2020)- Since IV 1992 - age detail
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_36] Employment (thousands) - previous regulation (until 2020)- Since IV 1992 - highest level of education attained, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_37] Employment (thousands) - previous regulation (until 2020)- Since IV 1992 - professional status, temporary employees
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_38] Employment (thousands) - previous regulation (until 2020)- Since IV 1992 - full-time/part-time
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_39] Employment (thousands) - previous regulation (until 2020)- Since IV 1992 - regional data
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_40] Employment (thousands) - previous regulation (until 2020)- Nace 2002 (since I 1977-2010) - employees
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_41] Employment (thousands) - previous regulation (until 2020)- Nace 2002 (since IV 1992-2010) - temporary employees, professional status
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_42] Employment (thousands) - previous regulation (until 2020)- Nace 2002 (since IV 1992-2010) - full-time/part-time
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_43] Employment (thousands) - previous regulation (until 2020)- Nace 2002 (since IV 1992-2010) - regional data
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_1] Employment (thousands) - previous regulation (until 2020) - Highest level of education attained, citizenship, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_2] Employment (thousands) - previous regulation (until 2020)- Professional status detailed
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_3] Employment (thousands) - previous regulation (until 2020)- Full-time/part-time, professional status, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_4] Employment (thousands) - previous regulation (until 2020)- Full-time/part-time, citizenship
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_5] Employment (thousands) - previous regulation (until 2020)- Employees by temporary employees/permanent employees, full-time/part-time, age
- [150_1188_DF_DCCV_OCCUPATIT1_UNT2020_6] Employment (thousands) - previous regulation (until 2020)- Employees by temporary employees/permanent employees, citizenship
- [150_1190_DF_DCCV_FORZLV1_UNT2020_7] Since I 1977 - age
- [150_1190_DF_DCCV_FORZLV1_UNT2020_10] Since IV 1992 - highest level of education attained, age
- [150_1190_DF_DCCV_FORZLV1_UNT2020_11] Since IV 1992 - regional data
- [150_1190_DF_DCCV_FORZLV1_UNT2020_8] Since I 1977 - highest level of education attained
- [150_1190_DF_DCCV_FORZLV1_UNT2020_9] Since IV 1992 - age detail
- [150_1190_DF_DCCV_FORZLV1_UNT2020_1] Highest level of education attained, age
- [150_1190_DF_DCCV_FORZLV1_UNT2020_2] Highest level of education attained, citizenship
- [150_1190_DF_DCCV_FORZLV1_UNT2020_3] Regional data - gender
- [150_1190_DF_DCCV_FORZLV1_UNT2020_4] Regional data - age
- [150_1190_DF_DCCV_FORZLV1_UNT2020_5] Regional data - highest level of education attained
- [150_1190_DF_DCCV_FORZLV1_UNT2020_6] Provincial data
- [150_1191_DF_DCCV_TAXATVT1_UNT2020_5] Since I 1977 - age
- [150_1191_DF_DCCV_TAXATVT1_UNT2020_6] Since I 1977 - highest level of education attained
- [150_1191_DF_DCCV_TAXATVT1_UNT2020_7] Since IV 1992 - age detail
- [150_1191_DF_DCCV_TAXATVT1_UNT2020_8] Since IV 1992 - Highest level of education attained, age
- [150_1191_DF_DCCV_TAXATVT1_UNT2020_9] Since IV 1992 - regional data
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_10] Since IV 1992 - highest level of education attained, age
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_11] Since IV 1992 - duration of unemployment
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_12] Since IV 1992 - regional data
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_7] Since I 1977 - age
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_8] Since I 1977 - highest level of education attained
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_9] Since IV 1992 - age detail
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_1] Highest level of education attained, age
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_2] Citizenship
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_3] Labour status, long term unemployment
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_4] Regional data - highest level of education attained
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_5] Regional data - labour status
- [151_1192_DF_DCCV_DISOCCUPT1_UNT2020_6] Provincial data
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_10] Since IV 1992 - age detail
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_11] Since IV 1992 - highest level of education attained, age
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_12] Since IV 1992 - regional data, age
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_13] Since IV 1992- regional data, duration of unemployment
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_8] Since I 1977 - age
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_9] Since I 1977 - highest level of education attained
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_1] Highest level of education attained, age
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_2] Highest level of education attained, citizenship
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_3] Duration of unemployment
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_4] Regional data - age
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_5] Regional data - highest level of education attained
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_6] Regional data - duration of unemployment
- [151_1193_DF_DCCV_TAXDISOCCU1_UNT2020_7] Provincial data
- [152_1185_DF_DCCV_INATTIV1_UNT2020_10] Since I 1977 - age
- [152_1185_DF_DCCV_INATTIV1_UNT2020_11] Since I 1977 - highest level of education attained
- [152_1185_DF_DCCV_INATTIV1_UNT2020_12] Since IV 1992 - age detail
- [152_1185_DF_DCCV_INATTIV1_UNT2020_13] Since IV 1992 - highest level of education attained, age
- [152_1185_DF_DCCV_INATTIV1_UNT2020_14] Since IV 1992 - regional data
- [152_1185_DF_DCCV_INATTIV1_UNT2020_1] Highest level of education attained, age
- [152_1185_DF_DCCV_INATTIV1_UNT2020_2] Highest level of education attained, citizenship
- [152_1185_DF_DCCV_INATTIV1_UNT2020_3] Labour status, gender
- [152_1185_DF_DCCV_INATTIV1_UNT2020_4] Inactivity reasons
- [152_1185_DF_DCCV_INATTIV1_UNT2020_5] Main status
- [152_1185_DF_DCCV_INATTIV1_UNT2020_6] Regional data - age
- [152_1185_DF_DCCV_INATTIV1_UNT2020_7] Regional data - highest level of education attained
- [152_1185_DF_DCCV_INATTIV1_UNT2020_8] Regional data - labour status
- [152_1185_DF_DCCV_INATTIV1_UNT2020_9] Provincial data
- [152_1196_DF_DCCV_TAXINATT1_UNT2020_5] Since I 1977 - age
- [152_1196_DF_DCCV_TAXINATT1_UNT2020_6] Since I 1977 - highest level of education attained
- [152_1196_DF_DCCV_TAXINATT1_UNT2020_7] Since IV 1992 - age detail
- [152_1196_DF_DCCV_TAXINATT1_UNT2020_8] Since IV 1992 - highest level of education attained, age
- [152_1196_DF_DCCV_TAXINATT1_UNT2020_9] Since IV 1992 - regional data
- [532_1195_DF_DCCV_POPCOND1_UNT2020_11] Classes quinquennial age
- [532_1195_DF_DCCV_POPCOND1_UNT2020_12] All ages
- [532_1195_DF_DCCV_POPCOND1_UNT2020_13] Citizenship
- [532_1195_DF_DCCV_POPCOND1_UNT2020_14] Role in household
- [532_1195_DF_DCCV_POPCOND1_UNT2020_15] Citizenship, role in household
- [532_1195_DF_DCCV_POPCOND1_UNT2020_16] Student status
- [532_1195_DF_DCCV_POPCOND1_UNT2020_17] Regional data
- [532_1195_DF_DCCV_POPCOND1_UNT2020_18] Statistical back recalculation since I 1977 - age
- [532_1195_DF_DCCV_POPCOND1_UNT2020_19] Statistical back recalculation since IV 1992 - age detail
- [532_1195_DF_DCCV_POPCOND1_UNT2020_20] Statistical back recalculation since IV 1992 - regional data
- [532_1195_DF_DCCV_POPCOND1_UNT2020_10] Statistical back recalculation since IV 1992 - regional data
- [532_1195_DF_DCCV_POPCOND1_UNT2020_1] Quinquennial age classes
- [532_1195_DF_DCCV_POPCOND1_UNT2020_2] All ages
- [532_1195_DF_DCCV_POPCOND1_UNT2020_3] Citizenship
- [532_1195_DF_DCCV_POPCOND1_UNT2020_4] Role in household
- [532_1195_DF_DCCV_POPCOND1_UNT2020_5] Citizenship, role in household
- [532_1195_DF_DCCV_POPCOND1_UNT2020_6] Student status
- [532_1195_DF_DCCV_POPCOND1_UNT2020_7] Regional data
- [532_1195_DF_DCCV_POPCOND1_UNT2020_8] Statistical back recalculation since I 1977 - age
- [532_1195_DF_DCCV_POPCOND1_UNT2020_9] Statistical back recalculation since IV 1992 - age detail
- [172_1198_DF_DCCV_NEET1_UNT2020_1] European labour status, age
- [172_1198_DF_DCCV_NEET1_UNT2020_2] European labour status, highest level of education attained
- [172_1198_DF_DCCV_NEET1_UNT2020_3] European labour status, citizenship
- [172_1198_DF_DCCV_NEET1_UNT2020_4] European labour status, role in household
- [172_1198_DF_DCCV_NEET1_UNT2020_5] Citizenship, role in household
- [172_1198_DF_DCCV_NEET1_UNT2020_6] Regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_5] Potential additional labour force (%) - highest level of education attained, age
- [172_1197_DF_DCCV_COMPL1_UNT2020_10] Persons available to work but not seeking - highest level of education attained, citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_6] Potential additional labour force (%) - citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_7] Potential additional labour (%) - regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_8] Potential additional labour force (%) - provincial data
- [172_1197_DF_DCCV_COMPL1_UNT2020_9] Persons available to work but not seeking - age
- [172_1197_DF_DCCV_COMPL1_UNT2020_11] Persons available to work but not seeking - main reason for not seeking employment
- [172_1197_DF_DCCV_COMPL1_UNT2020_12] Persons available to work but not seeking - citizenship, main status
- [172_1197_DF_DCCV_COMPL1_UNT2020_13] Persons available to work but not seeking - regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_14] Persons available to work but not seeking (%) - age
- [172_1197_DF_DCCV_COMPL1_UNT2020_15] Persons available to work but not seeking (%) - highest level of education attained, citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_16] Persons available to work but not seeking (%) - regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_17] Persons seeking work but not immediately available - gender
- [172_1197_DF_DCCV_COMPL1_UNT2020_18] Persons seeking work but not immediately available - age
- [172_1197_DF_DCCV_COMPL1_UNT2020_19] Persons seeking work but not immediately available - highest level of education attained
- [172_1197_DF_DCCV_COMPL1_UNT2020_20] Persons seeking work but not immediately available - citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_21] Persons seeking work but not immediately available (%) - sex
- [172_1197_DF_DCCV_COMPL1_UNT2020_22] Persons seeking work but not immediately available (%) - age
- [172_1197_DF_DCCV_COMPL1_UNT2020_23] Persons seeking work but not immediately available (%) - highest level of education attained
- [172_1197_DF_DCCV_COMPL1_UNT2020_24] Persons seeking work but not immediately available (%) - citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_25] Underemployed part-time workers and involuntary part-time - age
- [172_1197_DF_DCCV_COMPL1_UNT2020_26] Underemployed part-time workers and involuntary part-time - highest level of education attained, citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_27] Underemployed part-time workers and involuntary part-time - professional status, Nace 2007
- [172_1197_DF_DCCV_COMPL1_UNT2020_28] Underemployed part-time workers and involuntary part-time - professional status, Nace 2002
- [172_1197_DF_DCCV_COMPL1_UNT2020_29] Underemployed part-time workers and involuntary part-time (%) - age
- [172_1197_DF_DCCV_COMPL1_UNT2020_30] Underemployed part-time workers and involuntary part-time (%) - highest level of education attained, citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_31] Underemployed part-time workers and involuntary part-time (%) - professional status, Nace 2007
- [172_1197_DF_DCCV_COMPL1_UNT2020_32] Underemployed part-time workers and involuntary part-time (%) - professional status, Nace 2002
- [172_1197_DF_DCCV_COMPL1_UNT2020_33] Non partecipation rate - highest level of education attained, age
- [172_1197_DF_DCCV_COMPL1_UNT2020_34] Non partecipation rate - highest level of education attained, citizenship
- [172_1197_DF_DCCV_COMPL1_UNT2020_35] Non partecipation rate - age, regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_36] Non partecipation rate - highest level of education attained, regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_37] Non partecipation rate - provincial data
- [172_1197_DF_DCCV_COMPL1_UNT2020_1] Potential additional labour force - highest level of education attained, age
- [172_1197_DF_DCCV_COMPL1_UNT2020_2] Potential additional labour force - citizenship, main status
- [172_1197_DF_DCCV_COMPL1_UNT2020_3] Potential additional labour - regional data
- [172_1197_DF_DCCV_COMPL1_UNT2020_4] Potential additional labour force - provincial data
- [172_931_DF_DCCV_NEET1_10] Incidence of Neet - Role in household (%)
- [172_931_DF_DCCV_NEET1_11] Incidence of Neet - Regional data (%)
- [172_931_DF_DCCV_NEET1_7] Incidence of Neet - Age (%)
- [172_931_DF_DCCV_NEET1_8] Incidence of Neet - Highest level of education attained (%)
- [172_931_DF_DCCV_NEET1_9] Incidence of Neet - Citizenship (%)
- [172_931_DF_DCCV_NEET1_1] Young people not in employment, education or training - European labour status, age
- [172_931_DF_DCCV_NEET1_2] Young people not in employment, education or training - European labour status, highest level of education attained
- [172_931_DF_DCCV_NEET1_3] Young people not in employment, education or training - European labour status, citizenship
- [172_931_DF_DCCV_NEET1_4] Young people not in employment, education or training - European labour status, role in household
- [172_931_DF_DCCV_NEET1_5] Young people not in employment, education or training - Citizenship, role in household
- [172_931_DF_DCCV_NEET1_6] Young people not in employment, education or training - Regional data
- [83_63_DF_DCCV_AVQ_PERSONE_201] Smoking habit- age detail
- [83_63_DF_DCCV_AVQ_PERSONE_202] Smoking habit - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_203] Smoking habit - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_204] Smoking habit - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_211] Water and carbonate beverages - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_212] Water and carbonate beverages - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_213] Water and carbonate beverages - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_214] Water and carbonate beverages - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_215] Wine and beer - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_216] Wine and beer - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_217] Wine and beer - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_218] Wine and beer - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_219] Drinks, bitter drinks and spirits - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_220] Drinks, bitter drinks and spirits - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_221] Drinks, bitter drinks and spirits - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_222] Drinks, bitter drinks and spirits - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_223] Alcoholic beverages beetwen meals - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_224] Alcoholic beverages beetwen meals - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_225] Alcoholic beverages beetwen meals - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_226] Alcoholic beverages beetwen meals - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_227] Body mass index and weight control - gender
- [83_85_DF_DCCV_AVQ_PERSONE1_228] Body mass index - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_229] Body mass index - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_230] Body mass index - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_231] Body mass index - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_232] Domestic accidents - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_233] Domestic accidents - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_234] Domestic accidents- occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_235] Domestic accidents - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_236] Meal habits - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_237] Meal habits - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_238] Meal habits - - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_239] Meal habits - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_240] Coldcuts, meat, eggs, fish - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_241] Coldcuts, meat, eggs, fish - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_242] Coldcuts, meat, eggs, fish - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_243] Coldcuts, meat, eggs, fish - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_244] Bread, legumes, milk and cheese - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_245] Bread, legumes, milk and cheese - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_246] Bread, legumes, milk and cheese - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_247] Bread, legumes, milk and cheese - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_248] Vegetables, green and fruit - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_249] Vegetables, green and fruit - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_250] Vegetables, green and fruit - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_251] Vegetables, green and fruit - regions and type of municipality
- [83_85_DF_DCCV_AVQ_PERSONE1_252] Oil and salt - age detail
- [83_85_DF_DCCV_AVQ_PERSONE1_253] Oil and salt - age, educational level
- [83_85_DF_DCCV_AVQ_PERSONE1_254] Oil and salt - occupational position
- [83_85_DF_DCCV_AVQ_PERSONE1_255] Oil and salt - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_205] Health status - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_206] Health status - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_207] Health status - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_208] Health status - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_209] Use of drugs - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_210] Use of drugs - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_211] Use of drugs - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_212] Use of drugs - regions and type of municipality
- [39_494_DF_DCIS_CMORTE1_RES_1] Cause - prov.
- [39_494_DF_DCIS_CMORTE1_RES_2] Cause and age
- [39_494_DF_DCIS_CMORTE1_RES_3] Cause and country of citizenship
- [39_494_DF_DCIS_CMORTE1_RES_4] Age and country of citizenship
- [39_494_DF_DCIS_CMORTE1_RES_8] Mortality rates - prov.
- [39_701_DF_DCIS_CMORTEINF2_RES_1] Cause
- [39_701_DF_DCIS_CMORTEINF2_RES_2] Age,education level and age of the mother, filiation and month of death - prov.
- [39_701_DF_DCIS_CMORTEINF2_RES_3] Citizenship of the mother - prov.
- [39_701_DF_DCIS_CMORTEINF2_RES_4] Infant mortality rates - prov.
- [39_57_DF_DCIS_CMORTEM_1] Ratio of underlying cause to multiple cause of death
- [39_57_DF_DCIS_CMORTEM_2] Number of conditions by underlying cause of death
- [39_57_DF_DCIS_CMORTEM_3] Mentions of specified multiple cause of death
- [39_57_DF_DCIS_CMORTEM_4] Infant mortality - ratio of underlying cause to multiple cause of death
- [39_57_DF_DCIS_CMORTEM_5] Infant mortality - Mentions of specified multiple cause of death
- [39_1005_DF_DCIS_SUICIDI_1] Statistical time series
- [39_1005_DF_DCIS_SUICIDI_2] Gender and age
- [39_1005_DF_DCIS_SUICIDI_3] Comorbidity
- [39_1005_DF_DCIS_SUICIDI_4] Method of suicide
- [39_1005_DF_DCIS_SUICIDI_5] Method of suicide and comorbidity
- [39_1005_DF_DCIS_SUICIDI_6] Educational level
- [39_1005_DF_DCIS_SUICIDI_7] Civil status
- [39_1005_DF_DCIS_SUICIDI_8] Month
- [39_1005_DF_DCIS_SUICIDI_9] Nationality
- [42_324_DF_DCIS_ABORTISPONTR_10] Marital status - prov.
- [42_324_DF_DCIS_ABORTISPONTR_11] Education level - prov.
- [42_324_DF_DCIS_ABORTISPONTR_12] Professional condition - prov.
- [42_324_DF_DCIS_ABORTISPONTR_13] Reproductive history of the woman and number of the event - prov.
- [42_324_DF_DCIS_ABORTISPONTR_14] Use of medically assisted procreation techniques - prov.
- [42_324_DF_DCIS_ABORTISPONTR_15] Medically assisted procreation method - prov.
- [42_324_DF_DCIS_ABORTISPONTR_16] Average number of weeks of amenorrhea - prov.
- [42_324_DF_DCIS_ABORTISPONTR_17] Mean age of women - prov.
- [42_324_DF_DCIS_ABORTISPONTR_8] Age - prov.
- [42_324_DF_DCIS_ABORTISPONTR_9] Weeks of amenorrhea - prov.
- [42_324_DF_DCIS_ABORTISPONTR_1] Age and weeks of amenorrhea
- [42_324_DF_DCIS_ABORTISPONTR_2] Age, marital status and educational level
- [42_324_DF_DCIS_ABORTISPONTR_3] Age and professional status
- [42_324_DF_DCIS_ABORTISPONTR_4] Age, reproductive history of the woman and number of the event
- [42_324_DF_DCIS_ABORTISPONTR_5] Average number of weeks of amenorrhea
- [42_324_DF_DCIS_ABORTISPONTR_6] Miscarriage rates and miscarriage ratios
- [42_324_DF_DCIS_ABORTISPONTR_7] Standardized rates and ratios, total spontaneous abortion rate
- [42_325_DF_DCIS_ABORTISPONTL_10] Country of citizenship of the woman - prov.
- [42_325_DF_DCIS_ABORTISPONTL_11] Type of intervention - prov.
- [42_325_DF_DCIS_ABORTISPONTL_12] Antalgic therapy - prov.
- [42_325_DF_DCIS_ABORTISPONTL_13] Type of complication - prov.
- [42_325_DF_DCIS_ABORTISPONTL_14] Use of medically assisted procreation techniques - prov.
- [42_325_DF_DCIS_ABORTISPONTL_15] Medically assisted procreation method - prov.
- [42_325_DF_DCIS_ABORTISPONTL_16] Place of abortion - prov
- [42_325_DF_DCIS_ABORTISPONTL_9] Age of women - prov.
- [42_325_DF_DCIS_ABORTISPONTL_1] Spontaneous abortions - resignation from the place of the event
- [42_325_DF_DCIS_ABORTISPONTL_2] Age of the woman and week of amenorrhea
- [42_325_DF_DCIS_ABORTISPONTL_3] Age of women and use of medically assisted procreation techniques
- [42_325_DF_DCIS_ABORTISPONTL_4] Age of the woman and method of medically assisted procreation
- [42_325_DF_DCIS_ABORTISPONTL_5] Type of intervention, complication and week of amenorrhea
- [42_325_DF_DCIS_ABORTISPONTL_6] Average hospitalization by type of intervention and weeks of amenorrhea
- [42_325_DF_DCIS_ABORTISPONTL_7] Region of residence of the woman
- [42_325_DF_DCIS_ABORTISPONTL_8] Average hospitalization and type of complication
- [42_70_DF_DCIS_IVG_CARATTDON_10] Age - prov. of birth
- [42_70_DF_DCIS_IVG_CARATTDON_11] Age - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_12] Minors for assent - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_13] Age of women with foreign citizenship - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_14] Country of citizenship - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_15] Marital status - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_16] Education level- prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_17] Professional condition - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_18] Reproductive history - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_8] Average age at voluntary interruption of pregnancy - prov. of residence
- [42_70_DF_DCIS_IVG_CARATTDON_9] Age - prov. of event
- [42_70_DF_DCIS_IVG_CARATTDON_1] Age, marital status and reproductive history
- [42_70_DF_DCIS_IVG_CARATTDON_2] Age and previous reproductive history
- [42_70_DF_DCIS_IVG_CARATTDON_3] Age, marital status and educational level
- [42_70_DF_DCIS_IVG_CARATTDON_4] Age, marital status and professional status
- [42_70_DF_DCIS_IVG_CARATTDON_5] Abortion rate (values per 1000 women) total and standardized
- [42_70_DF_DCIS_IVG_CARATTDON_6] Voluntary abortion rate by age and marital status (per 1000 women)
- [42_70_DF_DCIS_IVG_CARATTDON_7] Voluntary abortion rate of underage women (per 1000 women)
- [42_1108_DF_DCIS_IVG_CARATTEV1_10] Place of abortion - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_11] Type of complication - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_12] Presence of fetal malformations - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_1] Type of intervention, antalgic therapy and weeks of amenorrhea
- [42_1108_DF_DCIS_IVG_CARATTEV1_2] Type of intervention, antalgic therapy and gestational age
- [42_1108_DF_DCIS_IVG_CARATTEV1_3] Type of intervention - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_4] Antalgic therapy - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_5] Weeks of amenorrhea - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_6] Gestational age- prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_7] Institution that issued the certification - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_8] Waiting days between certification and intervention - prov.
- [42_1108_DF_DCIS_IVG_CARATTEV1_9] Urgency level - prov.
- [43_495_DF_DCIS_OSPEDSSN_1] National health service hospitals resources and activities
- [43_495_DF_DCIS_OSPEDSSN_2] National health service hospitals wards resources and activities
- [43_495_DF_DCIS_OSPEDSSN_3] Medical technology in National health service hospitals
- [43_495_DF_DCIS_OSPEDSSN_4] Personnel in National health service hospitals
- [83_63_DF_DCCV_AVQ_PERSONE_213] First aid and holiday and night-time medical care - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_214] First aid and holiday and night-time medical care - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_215] First aid and holiday and night-time medical care - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_216] First aid and holiday and night-time medical care - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_217] Hospitalization - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_218] Hospitalization - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_219] Hospitalization - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_220] Hospitalization - regions and type of municipality
- [83_63_DF_DCCV_AVQ_PERSONE_221] Satisfaction with health care facilities - age detail
- [83_63_DF_DCCV_AVQ_PERSONE_222] Satisfaction with health care facilities - age, educational level
- [83_63_DF_DCCV_AVQ_PERSONE_223] Satisfaction with health care facilities - occupational position
- [83_63_DF_DCCV_AVQ_PERSONE_256] Satisfaction with health care facilities - regions and type of municipality
- [43_283_DF_DCIS_OSPDISTPSICHRES_1] Sex and age
- [43_283_DF_DCIS_OSPDISTPSICHRES_2] Sex and marital status
- [43_283_DF_DCIS_OSPDISTPSICHRES_3] Clinical classification
- [43_283_DF_DCIS_OSPDISTPSICHRES_4] Hospital discharges day care
- [43_283_DF_DCIS_OSPDISTPSICHRES_6] Patients admitted to a place other than that of residence - reg.
- [43_283_DF_DCIS_OSPDISTPSICHRES_7] Patients admitted to a place other than that of residence - prov.
- [43_283_DF_DCIS_OSPDISTPSICHRES_5] Average length of stay inpatient care
- [43_284_DF_DCIS_OSPDISTPSICHRIC_1] Hospitals
- [43_284_DF_DCIS_OSPDISTPSICHRIC_2] Hospital discharges by type of institution
- [43_284_DF_DCIS_OSPDISTPSICHRIC_3] Discharges by inpatient care and type of admission
- [43_284_DF_DCIS_OSPDISTPSICHRIC_4] Resignation for clinical aggregate
- [43_284_DF_DCIS_OSPDISTPSICHRIC_5] Hospital discharges by type of department
- [43_284_DF_DCIS_OSPDISTPSICHRIC_6] Hospital discharges of patients with compulsory medical treatment
- [43_284_DF_DCIS_OSPDISTPSICHRIC_7] Patients admitted to a place other than that of residence - reg.
- [43_284_DF_DCIS_OSPDISTPSICHRIC_8] Patients admitted to a place other than that of residence - prov.
- [DF_BES_TERRIT_10] Environment
- [DF_BES_TERRIT_11] Innovation, research and creativity
- [DF_BES_TERRIT_12] Quality of services
- [DF_BES_TERRIT_1] Health
- [DF_BES_TERRIT_2] Education and training
- [DF_BES_TERRIT_3] Work and life balance
- [DF_BES_TERRIT_4] Economic well-being
- [DF_BES_TERRIT_5] Social relationships
- [DF_BES_TERRIT_6] Politics and Institutions
- [DF_BES_TERRIT_7] Safety
- [DF_BES_TERRIT_9] Landscape and cultural heritage
- [DF_BES_TERRIT_0] All indicators by individual territory
- [DCAT_CENSAGRIC2020_GAIN] Farms with gainful activities
- [DF_DCAT_CENSAGRIC2020_CATTLE_ALL] Farms and herd by type of cattle
- [DF_DCAT_CENSAGRIC2020_CROPS_ALL] Farms with utilised agricultural area by type of crops
- [DF_DCAT_CENSAGRIC2020_ECSIZE_ALL] Economic size and farm typology
- [DF_DCAT_CENSAGRIC2020_INV_ALL] Farms with investments
- [DF_DCAT_CENSAGRIC2020_LABCAT_ALL] Farms and labour days by gender and labor category
- [DF_DCAT_CENSAGRIC2020_LEGOWN_ALL] Farms and areas by legal form and ownership
- [DF_DCAT_CENSAGRIC2020_QUAL_ALL] Number of farm managers and working days by qualification, workforce category, gender, age of the manager
- [DF_DCAT_CENSAGRIC2020_SURF_ALL] Farms and areas
- [DF_DCAT_CENSAGRIC2020_TRAI_ALL] Company managers with training courses, by gender and age
- [DF_DCAT_CENSAGRIC2020_UA_CROPS_1] Agricultural units and areas by altimetric zone
- [DF_DCAT_CENSAGRIC2020_UA_CROPS_2] Agricultural units and agricoltural area by crops and altimetric zone
- [DF_DCAT_CENSAGRIC2020_AU_CATTLE_1] Agricultural units and number of heads by type of livestock and altimetric zone
National Accounts
Annual national accounts
Declared and undeclared employment by industry and population
Quarterly national accounts
Gross domestic product, expenditure components and contribution to GDP growth
Employment breakdown by industry and population
Regional accounts
Declared and undeclared employment by industry and population
Annual non-financial sector accounts
Quarterly non financial sector accounts
General Government statistics
Quarterly account
Annual account
Environmental accounts
Environmental goods and services accounts
Physical energy flow accounts (PEFA)
Environmental protection expenditure
NAMEA air emissions (NACE Rev.2)
Environmental tax revenue
Material Flow Accounts
Productivity measures
Social protection accounts
System of Health Accounts
Agriculture, forestry and fishing accounts
National accounts previous series
Annual national accounts
Regular, irregular employment and population - editions from October 2014 to April 2019
Quarterly national accounts
Gross domestic product, expenditure components and contribution to GDP growth
Employment breakdown by industry and population
Regional accounts
Declared and undeclared employment by industry and population
Annual non-financial sector accounts
Quarterly non financial sector accounts
General Government statistics
Quarterly account
Annual account
Annual expenditure by subsector
Environmental accounts
Environmental goods and services accounts
Physical energy flow accounts (PEFA)
Environmental protection expenditure
NAMEA air emissions (NACE Rev.2)
Environmental tax revenue
National materials' use accounts
Productivity measures
Social protection accounts
System of Health Accounts
Households Economic Conditions and Disparities
Household income
Net income
Households by income source
Homogeneity of regional income
Household income quintile
Irpef taxable incomes (Ipef) - municipalities
Ownership of durable goods and perception of the economic condition
Household consumption expenditure
Consumption expenditure
Consumption distribution
Consumption expenditure - ECoicop - data from 2014 to 2021 and reconstructed data from 1997 to 2013
Consumption expenditure - Coicop 2018 - data since 2022 and reconstructed data from 2014 to 2021
Household consumption expenditure - broken time series 1997-2013
Changes in household purchasing behaviour
Households and type of consumption
Average monthly expenditure and type of expenditure
Average monthly expenditure
Homogeneity of regional expenditure
Economic distress
People at risk of poverty or social exclusion
Broken time series
Households with arreared paymentes
Households who can't afford to save or to face unexpected expenses
Households who believe too heavy some housing-costs or repayment of debts
Households who can't afford to purchase some durable goods
Households for minimum income needed to make ends meet
Households by ability to make ends meet
Households who do not afford to buy selected items
Households who do not have enough money for selected items
Poverty
Poverty new methodology - data since 2022 and reconstructed data from 2014 to 2021
Poverty - reconstructed time series 1997-2013
Poverty - broken time series 1997-2013
Household absolute poverty incidence
Household relative poverty incidence
Poverty new methodology - data from 2022
Poverty - broken time series
Poverty - broken time series 1997-2021
Poverty - broken time series 1997-2013
Housing conditions
Housing costs
Housing crowding
Damaged, humid and lightless house
Tenure status (rent or property)
Characteristics of the house
Housing conditions - broken time series
Consumer confidence
Previous series
Population and Households
Population
Semi-supercentenarian population (105 years and more)
Demographic indicators
Resident population on 1st January
Regions and municipalities
Resident population - balance
Households
Couples
Single parents
Single persons
Young people living in family
Kinship and support network
Marriages and civil partnerships
Marriages
Regions and municipalities
Spouses - Demographic characteristics
Marriages - Socio-professional characteristics
Marriages - Citizenship
Marriages - Indicators
Civil partnerships-Demographic characteristics
Civil partnerships - Socio-professional characteristics
Civil partnerships - Citizenship
Birthrate and fertility
Live births
Parental characteristics
Fertility indicators
Fertility tables by birth order
Live births
Live birth characteristics
Mortality
Separations and divorces
Separations - Demographic characteristics
Separations - Socio-professional characteristics
Separations - Characteristics and children
Granted separations
Children under custody
Separations - Indicators
Divorces - Demographic characteristics
Divorces - Socio-professional characteristics
Divorces - Characteristics and children
Granted divorces
Children under custody
Divorces - Indicators
Broken time series
Separations - Demographic characteristics 2008-2014
Separations - Social characteristics 2008-2014
Separations - Characteristics and minor children in custody 2008-2014
Granted separations
Children under custody
Separations - Indicators 2008-2014
Divorces - Demographic characteristics 2008-2014
Divorces - Social characteristics 2008-2014
Divorces - Characteristics and minor children in custody 2008-2014
Granted divorces
Children under custody
Divorces - Indicators 2008-2014
Migrations
Migration (Transfer of residence)
Foreigners and Immigrants
Resident foreigners on 1st January
Regions and municipalities
Resident foreigners on 1st January - Citizenship
Regions and municipalities
Resident foreigners - Balance
Regions and municipalities
Resident foreigners and life conditions
Mother tongue and use of italian language
Discrimination suffered
Satisfaction
Acquisitions of citizenship
Residence permits of non-EU citizens
Inter censuses population
Estimated resident population - Years 2001-2019
Demographic balance - Regions and municipalities
Estimated resident population - Years 1991-2001
Demographic balance - Regions and municipalities
Estimated resident population - Years 1982-1991
Regions and municipalities
Estimated resident population - Years 1972-1981
Estimated resident population - Years 1952-1971
Demographic projections
Demographic projections - Years 2022-2080
Single Exit Point
Enterprises
Territorial features
Population and Households
Population
Marriages and civil partnerships
Birthrate and fertility
Separations and divorces
Foreigners and Immigrants
Inter censuses population
Demographic projections
Migrations
Mortality
Households Economic Conditions and Disparities
Household consumption expenditure
Household income
Housing conditions
Poverty
Economic distress
Health statistics
Road accidents
Health services and their appeal
Women Reproductive health
Causes of death
Social Security and Welfare
Residential care institutions
Pension beneficiaries
Social services
Education and training
University
Student characteristics and transition to work
Schools (broken time series)
Communication, culture, trips
Trips
Daily life and citizen opinions
Satisfaction for life and work
Use and satisfaction for public services
Time use
Volunteering
National Accounts
Annual National Accounts and Aggregates
Annual accounts in the 2005 and 2011 versions
Annual accounts in the 2014 version
Regional accounts
Regional accounts in the 2011 and 2005 versions
Regional accounts in the 2014 version
Annual sector accounts
Annual sector account in the 2005 and 2011 versions
General Government statistics
General Government statistics in the 2014 version
Social protection accounts
Environmental accounts
Environmental accounts in the 2014 and 2011 versions
Productivity measures
Quarterly sector accounts
Quarterly national accounts
Quarterly accounts in the 2005 and 2011 versions
Quarterly accounts in the 2014 version
Agriculture, forestry and fishing accounts
System of Health Accounts
Agriculture
Services
Justice and Security
Civil Justice
Criminal Justice
Administrative Justice
Violence against women
Notarial activity
Prices
Consumer prices for the whole nation (Nic)
Harmonized consumer prices for the countries of the European Union (Hicp)
Previous bases (Hicp)
Consumer prices for blue and white-collar worker households (Foi)
Public Administrations and Private Institutions
Institutional units accounts
Social security funds
Industry and Construction
Labour and wages
Employment and wages
Payroll jobs and hours worked in enterprises
Wages in enterprises
Labour cost (Enterprises and PA)
National labour contracts (Enterprises and PA)
Labour offer
Employment
Unemployment
Households and labour market
Inactivity
Social Security and Welfare
Social services
Social services and benefits of municipalities
Socio-educational services for infancy day-care
Social services and benefits of regions and provinces
Residential care institutions
Guests of social and health care residential facilities
Minor guests
Adult guests
Elderly guests
Foreigner guests
Residential social and health care facilities
Pension beneficiaries
Pensions
Enterprises
Structure
Enterprises - human resources
Gender, age , country of birth
Regions
Provinces
Enterprises - employees by social security contribution allowance
Enterprises - employees
Professional status
Gender, age , country of birth
Type of employment contract
Gender, age , country of birth
Full-time/Part-time
Gender, age , country of birth
Enterprises - outworkers by class of annual income and work period
Gender, age , country of birth
Enterprises - outworkers
Gender, age , country of birth
Eneterprises - self-employed
Gender, age , country of birth
Provinces
Enterprises - temporary workers
Gender, age , country of birth
Provinces
Enterprises and persons employed
Local units - employees
Local units and persons employed
Enterprises - human resources by highest level of education attained
Local units and persons employed - Territory at data reference year
Competitiveness
Enterprises economic indicators
Performance indicators
Innovation in companies with at least 10 persons employed
Enterprises with innovative activities
Enterprises that have introduced product and / or process innovations
Enterprises that have introduced new products to the market
Innovation spending
Enterprises with innovation cooperation agreements
Regional data
Enterprise strategies
Enviromental benefits and factors
COVID-19 sanitary emergency
ICT in companies with at least 10 persons employed
Research and Development
Expenditure
Business confidence climate
Indicators from statistical registers
Employment in enterprises
Enterprises
Agriculture
Prices and livestock import export
Agricoltural prices
Previous basis
Crops and livestock
Crops
Milk and dairy products
Slaughtering
Agritourism and PDO, PGI and TSG quality products
PDO, PGI and TSG quality products
Agritourism
Production means
Fertilizars
Plant protection products
Economic output and structure of agricultural holdings
Economic results of farms
Farm structure
Farm structure broken time series 2003-2007
Education and training
Schools
Schools (broken time series)
Pre-primary school
Primary school
Lower secondary school
Disability and school
University
University studens
University students - municipality of residence
University students - municipality of the university
Student characteristics and transition to work
High school graduates - socio-demographic characteristics and curriculum
Post - diploma training
High school graduates - employment conditions and remuneration
High school graduates - seeking a job
University graduates - Socio-demographic characteristics and curriculum
University graduates - occupational status
University graduates - job search
PhD graduates - socio-demographic characteristics and curriculum
PhD graduates - professional status
PhD graduates - wage and hours worked
PhD graduates - territorial mobility
PhD graduates - job search and satisfaction
Population 15 years and over by highest level of education - previous regulation (until 2020)
Early leavers from education and training - aged 18 to 24 - previous regulation (until 2020)
Prices
Consumer prices for the whole nation (Nic)
Nic - monthly data from 2016 onwards(base 2015)
Nic – annual average from 2016 onwards(base 2015)
Nic – weights from 2016
Previous bases (Nic)
Nic - monthly data from 2011 until 2015 (base 2010)
Nic - annual average from 2011 until 2015 (base 2010)
Nic - monthly data until 2010
Consumer prices for blue and white-collar worker households (Foi)
Previous bases (Foi)
Harmonized consumer prices for the countries of the European Union (Hicp)
Hicp - monthly data from 2001
Hicp - weights from 2001
Hicp - annual data from 2001 (base 2015)
Previous bases
Hicp - monthly and quarterly data from 2001 until 2015(base 2005)
Hicp - annual data from 2001 until 2015 (base 2005)
House prices (Ipab)
Industrial producer prices
Services producer prices
Previous bases
Construction costs
Previous bases
Import price index - monthly data
Construction producer prices indeces
Agricoltural prices
Previous basis
Justice and Security
Civil Justice
Civil proceedings
Civil proceedings - labour, social security and compulsory welfare
Criminal Justice
Criminal proceedings
Persons prosecuted by the public prosecutor - adults
Persons prosecuted by the public prosecutor - minors
Reports of persons suspected by the police forces to have committed crime
Crimes reported by the police forces to the judicial authority
Other crimes reported by the police forces to the judicial authority
Alleged offenders and victims of crimes reported by the police forces to the judicial authority
Persons convicted by final judgement - Demographic characteristics
Persons convicted by final judgement - Characteristics of the judgements
Prison population held in institutions for adults in Italy
Proceedings and crimes after the Public Prosecutor Office decisions - adults
Proceedings and crimes after the Public Prosecutor Office decisions - minors
Protests and bankruptcies
Administrative Justice
Administrative justice proceedings
Administrative justice decisions
Violence against women
Opinions about gender roles and about violence against women - adults
Users to 1522 ( anti-violence and stalking number )
Victims contacting helpline 1522 (anti-violence and stalking number)
Women who have suffered violence - demographic characteristics and habits
Notarial activity
Notarial deeds
Agreements contained in notarial deeds
Public Administrations and Private Institutions
Number and type of institutional units
Institutional units accounts
Institutional units activities and organization
Social security funds
Accounts indicators and institutional units personnel indicators
Daily life and citizen opinions
Time use
Daily activities
Activities detail and time period
Daily activities - people in couple
Distribution of household work of couples
Locations frequented
Time spent alone or with other people
Pollution, criminality and noise in the dwelling place
Volunteering
Volunteering in organizations
Volunteering with or withouth organizations
Sport and friends
Political participation
Interpersonal trust
Social activities and religious observances
Satisfaction for life and work
Satisfaction with life as a whole
Satisfaction for some aspects of daily life
Work satisfaction
Use and satisfaction for public services
Front office services
Services for the supply of electricity and gas
Means of transport
Private services for obtaining certificates
Mobility and other problems in the dwelling place
Industry and Construction
Production
Industrial production volume
Industrial production index
Previous bases
Index of production in construction
Industrial turnover index
Previous bases
Building permits indicators
Business confidence in the construction sector
Broken time series (base 2005=100)
Previous series - climate (2010=100)
Business confidence in the manufacturing sector
Broken time series (base 2005=100)
Test Area
Previous series - climate (2010=100)
Services
Indexes of turnover in other services
Index of retail trade sales
Previous base
Air transport
Maritime transport
Rail transport
Road freight transport
Business confidence in the market services sector
Previous series - climate (2005=100)
Test Area
Previous series - climate (2010=100)
Business confidence in the retail trade Sector
Previous series - climate (2005=100)
Bank services - municipalities data
Tourism
Occupancy in collective tourist accomodation - monthly data
Occupancy in collective tourist accomodation - yearly data
Gross and Net rate of bed-places in hotels
Tourism indicators - monthly data
Capacity of collective accommodation - municipality data
Usual way of getting to school and work
Usual way of getting to school
Environment and Energy
Water
Public water supply use
Mining and quarrying
Energy
Households energy consumption
Environment in the cities
Broken time series
Environmental accounts
Environmental goods and services accounts
Physical energy flow accounts (PEFA)
Environmental protection expenditure
NAMEA air emissions (NACE Rev.2)
Environmental tax revenue
Material Flow Accounts
Communication, culture, trips
Museums and similar institutions
Museums and similar institutions - municipalities
State owned libraries
State Archives
Entertainments - types of users
Mass media and books - types of users
Internet and pc - type of users
Internet: access and type of use
Trips
Persons who made trips
Trips by purpose
Trips and their characteristics
Trips by characteristics of the tourist
Overnight stays for trips
Same-day visits
Expenditure on tourism trips in rented accomodations
Trips and overnightstays – Statistical back recalculation 1997-2013
Trips and holidays broken time series 1998-2013
Persons who made trips (quarterly data)
Persons not participating in holidays (quarterly data)
Trips by purpose
Trips by characteristics of the trip
Trips by characteristics of the tourist
Overnight stays for trips
Persons who went and didn't go on holiday
Persons who went and didnt go on holiday (annual data) broken time series 2001-2022
Trips by purpose
Trips by arrangement
Labour and wages
Employment and wages
Average hourly earnings for employee jobs in the private sector
Distribution by provinces
Distribution by nace 2 digit
Payroll jobs and hours worked in enterprises
Number of payroll jobs
Job vacancies - Enterprises with employees
Hours worked - Enterprises with employees
Previuos basis
Hours worked - Enterprises with more than 500 employees
Sectors detail
Previous bases
Labour positions - Enterprises with more than 500 employees
Sectors detail
Previous bases
Wages in enterprises
Gross earnings - Enterprises with employees
Gross earnings - Enterprises with more than 500 employees
Previous bases
Labour cost (Enterprises and PA)
Indicators - Enterprises with employee
Enterprises and public administrations with at least 10 employees
Enterprises with more than 500 employees
Previous bases
National labour contracts (Enterprises and PA)
Annual gross hours, net hours, holidays and other hours reduction - full-time employees
Wages according to collective labour agreements by economic sector (Nace rev.2)
Previous bases
Wages according to collective labour agreements by agreement
Previous bases
Wages according to collective labour agreements in Public administration
Previous bases
Bargaining tension
Labour offer
Employment
Employed - monthly data
Employment rate - monthly data
Labour force - monthly data
Activity rate - monthly data
Employed - quarterly seasonally adjusted data
Employment rate - quarterly seasonally adjusted data
Labour force - quarterly seasonally adjusted data
Activity rate - quarterly seasonally adjusted data
Employment (thousands)
Sectors of economic activity
Occupation
Regional data
Provincial data
Statistical back recalculation
Employment rate
Statistical back recalculation
Labour force
Statistical back recalculation
Activity rate
Statistical back recalculation
Unemployment
Unemployed - monthly data
Unemployment rate - monthly data
Unemployed - quarterly seasonally adjusted data
Unemployment rate - quarterly seasonally adjusted data
Unemployment
Statistical back recalculation
Unemployment rate
Statistical back recalculation
Inactivity
Inactive population - monthly data
Inactivity rate - monthly data
Inactive population - quarterly seasonally adjusted data
Inactivity rate - quarterly seasonally adjusted data
Inactive population
Statistical back recalculation
Inactivity rate
Statistical back recalculation
Households and labour market
Households - labour status
Couple family - labour status
Persons by role in household - labour status
Labour offer - previous regulation (until 2020)
Households and labour market - previous regulation (until 2020)
Households - labour status - previous regulation (until 2020)
Couple family - labour status - previous regulation (until 2020)
Persons by role in household - labour status - previous regulation (until 2020)
Employment - previous regulation (until 2020)
Employed - monthly data - previous regulation (until 2020)
Employment rate - monthly data - previous regulation (until 2020)
Labour force - monthly data - previous regulation (until 2020)
Activity rate - monthly data - previous regulation (until 2020)
Employed - quarterly seasonally adjusted data - previous regulation (until 2020)
Employment rate - quarterly seasonally adjusted data - previous regulation (until 2020)
Labour force - quarterly seasonally adjusted data - previous regulation (until 2020)
Activity rate - quarterly seasonally adjusted data - previous regulation (until 2020)
Employment rate - previous regulation (until 2020)
Statistical back recalculation
Employment (thousands) - previous regulation (until 2020)
Sectors of economic activity
Occupation
Regional data
Provincial data
Statistical back recalculation
Nace 2002
Labour force - previous regulation (until 2020)
Statistical back recalculation - previous regulation (until 2020)
Activity rate - previous regulation (until 2020)
Statistical back recalculation - previous regulation (until 2020)
Employment by number of actual weekly hours and average number of actual weekly hours - previous regulation (until 2020)
Unemployment - previous regulation (until 2020)
Unemployed - monthly data - previous regulation (until 2020)
Unemployment rate - monthly data - previous regulation (until 2020)
Unemployed - quarterly seasonally adjusted data - previous regulation (until 2020)
Unemployment rate - quarterly seasonally adjusted data - previous regulation (until 2020)
Unemployment - previous regulation (until 2020)
Statistical back recalculation
Unemployment rate - previous regulation (until 2020)
Statistical back recalculation - previous regulation (until 2020)
Inactivity - previous regulation (until 2020)
Inactive population - monthly data - previous regulation (until 2020)
Inactivity rate - monthly data - previous regulation (until 2020)
Inactive population - quarterly seasonally adjusted data - previous regulation (until 2020)
Inactivity rate - quarterly seasonally adjusted data - previous regulation (until 2020)
Inactive population - previous regulation (until 2020)
Statistical back recalculation - previous regulation (until 2020)
Inactivity rate - previous regulation (until 2020)
Statistical back recalculation - previous regulation (until 2020)
Popoulation by labour status - previous regulation (until 2020)
Labour status (Italian classification)
Supplementary data on labour market - previous regulation (until 2020)
Young people not in employment, education or training- previous regulation (until 2020)
Incidence of Neet
Labour status (Italian classification)
Supplementary indicators to unemployment- previous regulation (until 2020)
Potential additional labour force (%)
Persons available to work but not seeking (%)
Persons seeking work but not immediately available (%)
Underemployed part-time workers and involuntary part time (%)
Non-partecipation rate
Population by labour status
Supplementary data on labour market
Young people not in employment, education or training
Incidence of Neet
Health statistics
Life styles and risk factors
Smoking habit
Drinking habit
Body mass index and weight control
Domestic accidents
Food habit and use of foods
Health status and use of drugs
Health status
Use of drugs
Causes of death
Mortality by place of registration
Mortality by territory of residence
Infant mortality by place of registration
Infant mortality by territory of residence
Multiple causes of death
Suicides
Women reproductive health
Spontaneous abortions - resignation from the woman's place of residence
Provincial data
Spontaneous abortions - resignation from the place of the event
Provincial data
Voluntary interruptions of pregnancy - characteristics of the woman
Provincial data
Induced abortions - Migration
Induced abortions characteristics of the event
Health services and their appeal
Outpatient and residential facilities
Hospitals
Hospitals - broken time series
Hospitals - municipalities
Medical visits and diagnostic tests
First aid and holiday and night-time medical care
Hospitalization and satisfaction with health care facilities
Hospitalizations for acute care by citizenship
Hospital discharges for mental disorders by place of residence
Resignation for mental disorders compared to the place of discharge
Road accidents
Road accidents indicators
Territorial features
Areas at hydrogeological risk
Total area
Bes at local level
Agricultural Census 2020
Agricultural Census 2020
Data referred to the Municipality where the land/livestock are located
- Terms of use
- https://www.istat.it/en/legal-notice