Individuals - frequency of computer use [isoc_ci_cfp_fu]
Documentation on provider website
Updated by provider on March 13, 2024 (10:00 AM)
Time frequency [freq]
Information society indicator [indic_is]
Unit of measure [unit]
Individual type [ind_type]
Geopolitical entity (reporting) [geo]
Dataset has 39,668 series. Add search filters to narrow them.
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Iceland [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.IS]
- min:
- 90.86
- max:
- 96.31
- avg:
- 93.768
- σ:
- 2.054
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Italy [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.IT]
- min:
- 42.69
- max:
- 49.55
- avg:
- 46.296
- σ:
- 3.014
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Lithuania [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.LT]
- min:
- 30.94
- max:
- 53.5
- avg:
- 43.387
- σ:
- 8.442
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Luxembourg [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.LU]
- min:
- 74.49
- max:
- 83.04
- avg:
- 78.451
- σ:
- 2.917
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Latvia [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.LV]
- min:
- 40.26
- max:
- 56.73
- avg:
- 48.637
- σ:
- 5.398
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – North Macedonia [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.MK]only NA values
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Malta [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.MT]
- min:
- 58.49
- max:
- 96.06
- avg:
- 82.21
- σ:
- 12.695
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Netherlands [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.NL]
- min:
- 70.8
- max:
- 86.56
- avg:
- 78.8
- σ:
- 4.389
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Norway [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.NO]
- min:
- 77.37
- max:
- 89.9
- avg:
- 84.576
- σ:
- 5.155
- Annual – Frequency of computer use: daily – Percentage of individuals – Individuals who are born in another EU Member State – Poland [Eurostat/isoc_ci_cfp_fu/A.I_CDAY.PC_IND.CB_EU_FOR.PL]
- min:
- 37.02
- max:
- 57.74
- avg:
- 46.783
- σ:
- 8.501
Dimension codes and labels
[freq] Time frequency
- [A] Annual
[indic_is] Information society indicator
- [I_CDAY] Frequency of computer use: daily
- [I_CLTMTH] Frequency of computer use: less than once a month
- [I_CLTWK] Frequency of computer use: less than once a week
- [I_CMTH] Frequency of computer use: at least once a month
- [I_CWK] Frequency of computer use: at least once a week (but not every day)
[unit] Unit of measure
- [PC_IND] Percentage of individuals
- [PC_IND_C3] Percentage of individuals who used a computer within the last 3 months
[ind_type] Individual type
- [CB_EU_FOR] Individuals who are born in another EU Member State
- [CB_EXT_EU] Individuals who are born in non-EU country
- [CB_FOR] Individuals who are foreign-born
- [CB_NAT] Individuals who are native-born
- [CC_EU_FOR] Nationals of another EU-Member State
- [CC_EXT_EU] Nationals of non-EU country
- [CC_FOR] Non-nationals
- [CC_NAT] Nationals
- [EMPL_UNE] Individuals in the labour force (employed and unemployed)
- [F_I0_2] Females with low formal education
- [F_I3_4] Females with medium formal education
- [F_I5_8] Females with high formal education
- [F_Y16_19] Females, 16 to 19 years old
- [F_Y16_24] Females, 16 to 24 years old
- [F_Y16_29] Females, 16 to 29 years old
- [F_Y16_74] Females, 16 to 74 years old
- [F_Y20_24] Females, 20 to 24 years old
- [F_Y25_29] Females, 25 to 29 years old
- [F_Y25_34] Females, 25 to 34 years old
- [F_Y25_54] Females 25 to 54 years old
- [F_Y25_64] Females, 25 to 64 years old
- [F_Y35_44] Females 35 to 44 years old
- [F_Y45_54] Females 45 to 54 years old
- [F_Y55_64] Females 55 to 64 years old
- [F_Y55_74] Females 55 to 74 years old
- [F_Y65_74] Females 65 to 74 years old
- [HHI_Q1] Individual living in a household with income in first quartile
- [HHI_Q2] Individual living in a household with income in second quartile
- [HHI_Q3] Individual living in a household with income in third quartile
- [HHI_Q4] Individual living in a household with income in fourth quartile
- [I0_2] Individuals with no or low formal education
- [I3_4] Individuals with medium formal education
- [I5_8] Individuals with high formal education
- [IND_BROAD] Individuals living in a household with broadband access
- [IND_BROADX] Individuals living in a household with Internet access but with no broadband access
- [IND_DCH] Individuals living in a household with children
- [IND_DEG1] Individuals living in cities
- [IND_DEG2] Individuals living in towns and suburbs
- [IND_DEG3] Individuals living in rural areas
- [IND_NO1] Individuals living in Not Objective 1 regions / 'Regional Competitiveness and Employment' Region
- [IND_NO_DCH] Individuals living in a household without children
- [IND_O1] Individuals living in Objective 1 regions / 'Convergence' regions
- [IND_TOTAL] All Individuals
- [ISCO0_5] Non-manual including the armed forces
- [ISCO6_9] Manual
- [ISCO_ICT] ICT professionals
- [ISCO_ICTX] Non ICT professionals
- [MD] Mobile internet users
- [MDX] Non-users of mobile internet
- [M_I0_2] Males with low formal education
- [M_I3_4] Males with medium formal education
- [M_I5_8] Males with high formal education
- [M_Y16_19] Males, 16 to 19 years old
- [M_Y16_24] Males, 16 to 24 years old
- [M_Y16_29] Males, 16 to 29 years old
- [M_Y16_74] Males, 16 to 74 years old
- [M_Y20_24] Males, 20 to 24 years old
- [M_Y25_29] Males, 25 to 29 years old
- [M_Y25_34] Males, 25 to 34 years old
- [M_Y25_54] Males 25 to 54 years old
- [M_Y25_64] Males, 25 to 64 years old
- [M_Y35_44] Males 35 to 44 years old
- [M_Y45_54] Males 45 to 54 years old
- [M_Y55_64] Males 55 to 64 years old
- [M_Y55_74] Males 55 to 74 years old
- [M_Y65_74] Males 65 to 74 years old
- [RETIR] Retired Individuals
- [RETIR_OTHER] Individuals who are retired or not in the labour force (excluding students)
- [RF_GE1] "Individuals with at least one of the 3 following characteristics: 55 to 74 years old; low education; unemployed or inactive or retired"
- [RF_GE2] "Individuals with at least two of the 3 following characteristics: 55 to 74 years old; low education; unemployed or inactive or retired"
- [SAL] Employees
- [SAL_SELF_FAM] Employees, self-employed, family workers
- [SELF_FAM] Self-employed, family workers
- [STUD] Students
- [UNE] Unemployed
- [Y0_15] Individuals, 15 years old or less
- [Y16_19] Individuals, 16 to 19 years old
- [Y16_24] Individuals, 16 to 24 years old
- [Y16_24HI] Individuals aged 16-24 with high formal education
- [Y16_24LO] Individuals aged 16-24 with low education
- [Y16_24ME] Individuals aged 16-24 with medium formal education
- [Y16_29] Individuals, 16 to 29 years old
- [Y16_29HI] Individuals aged 16-29 with high formal education
- [Y16_29LO] Individuals aged 16-29 with low formal education
- [Y16_29ME] Individuals aged 16-29 with medium formal education
- [Y20_24] Individuals, 20 to 24 years old
- [Y25_29] Individuals, 25 to 29 years old
- [Y25_34] Individuals, 25 to 34 years old
- [Y25_54] Individuals, 25 to 54 years old
- [Y25_54HI] Individuals aged 25 to 54 with high formal education
- [Y25_54LO] Individuals aged 25 to 54 with low formal education
- [Y25_54ME] Individuals aged 25 to 54 with medium formal education
- [Y25_64] Individuals, 25 to 64 years old
- [Y25_64HI] Individuals aged 25 to 64 with high formal education
- [Y25_64LO] Individuals aged 25 to 64 with low formal education
- [Y25_64ME] Individuals aged 25 to 64 with medium formal education
- [Y25_64_EMPL_UNE] Individuals aged 25 to 64 who are in the labour force (employed and unemployed)
- [Y25_64_RETIROTH] Individuals aged 25 to 64 who are retired or not in the labour force (excluding students)
- [Y25_64_SALSELFFAM] Individuals aged 25 to 64 who are employees, self-employed or family workers
- [Y25_64_UNE] Individuals aged 25 to 64 who are unemployed
- [Y35_44] Individuals, 35 to 44 years old
- [Y45_54] Individuals, 45 to 54 years old
- [Y55_64] Individuals, 55 to 64 years old
- [Y55_74] Individuals, 55 to 74 years old
- [Y55_74HI] Individuals aged 55 to 74 with high formal education
- [Y55_74LO] Individuals aged 55 to 74 with low formal education
- [Y55_74ME] Individuals aged 55 to 74 with medium formal education
- [Y65_74] Individuals, 65 to 74 years old
- [Y75_MAX] Individuals, 75 years old or more
[geo] Geopolitical entity (reporting)
- [AT] Austria
- [BE] Belgium
- [BG] Bulgaria
- [CY] Cyprus
- [CZ] Czechia
- [DE] Germany
- [DK] Denmark
- [EA] Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)
- [EE] Estonia
- [EL] Greece
- [ES] Spain
- [EU15] European Union - 15 countries (1995-2004)
- [EU25] European Union - 25 countries (2004-2006)
- [EU27_2007] European Union - 27 countries (2007-2013)
- [EU27_2020] European Union - 27 countries (from 2020)
- [EU28] European Union - 28 countries (2013-2020)
- [FI] Finland
- [FR] France
- [HR] Croatia
- [HU] Hungary
- [IE] Ireland
- [IS] Iceland
- [IT] Italy
- [LT] Lithuania
- [LU] Luxembourg
- [LV] Latvia
- [ME] Montenegro
- [MK] North Macedonia
- [MT] Malta
- [NL] Netherlands
- [NO] Norway
- [PL] Poland
- [PT] Portugal
- [RO] Romania
- [RS] Serbia
- [SE] Sweden
- [SI] Slovenia
- [SK] Slovakia
- [TR] Türkiye
- [UK] United Kingdom
- [XK] Kosovo*