Online purchases from sellers abroad: travel, accommodation or holiday arrangements (e.g. tickets and documents by mail or printed by oneself)
[I_BFFOR_TRH](15,015)
Online purchases from sellers abroad: travel, accommodation or holiday arrangements or other services (e.g. tickets for events received by mail, telecom subscriptions)
[I_BFFOR_TRHOSV](15,373)
Online purchases: films/music
[I_BFILM](13,632)
Online purchases: films/music, delivered or upgraded online
Online purchases: from sellers with unknown country of origin
[I_BFUNK](13,024)
Online purchases: household goods
[I_BFURN](13,470)
Online purchases: from sellers from the rest of the world (non-EU)
[I_BFWRLD](13,027)
Frequency of online purchases in the last 3 months: 1 or 2 times
[I_BF_1_2](8,303)
Frequency of online purchases in the last 3 months: 3 to 5 times
[I_BF_3-5](8,303)
Frequency of online purchases in the last 3 months: 6 to 10 times
[I_BF_6-10](11,607)
Frequency of online purchases in the last 3 months: more than 10 times
[I_BF_GT10](8,303)
Frequency of online purchases in the last 3 months: 6 times or more
[I_BF_HI](8,300)
Online purchases: films/music or books/magazines/e-learning material or computer software
[I_BGOOD](13,474)
Online purchases, downloaded or accessed from websites or apps: films/music, e-books, e-magazines/e-newspapers or computer software (incl. computer/video games, software upgrades)
[I_BGOOD1O](12,419)
Online purchases, downloaded or accessed from websites or apps: films/music , e-books, e-magazines/e-newspapers
[I_BGOOD3O](12,419)
Online purchases: films/music or books/magazines/e-learning material or computer software, delivered or upgraded online
[I_BGOODO](10,707)
Online purchases: video games software and upgrades
[I_BGSOFT](10,497)
Online purchases: computer hardware
[I_BHARD](13,634)
Online purchases: holiday accommodation
[I_BHOLAC](13,302)
Online purchases: travel and holiday accommodation
[I_BHOLS](13,632)
Last online purchase: in the 12 months
[I_BLT12](10,215)
Online purchases: medecine
[I_BMED](13,311)
Online purchases, downloaded or accessed from websites or apps: e-magazines, e-newspapers
[I_BMGNWO](12,152)
Online purchases: computer software other than video games and upgrades
[I_BOSOFT](3,503)
Online purchases: other travel arrangements (transport tickets, car hire, etc.)
[I_BOTA](13,302)
Online purchases: others
[I_BOTHTH](13,486)
Online purchases: computer software
[I_BSOFT](13,631)
Online purchases: computer software, delivered or upgraded online
[I_BSOFTO](13,440)
Online purchases: tickets for events
[I_BTICK](13,632)
Online purchases: telecom services
[I_BTS](13,302)
Last online purchase: more than a year ago
[I_BUMT12](4,533)
Last online purchase: more than a year ago or never
[I_BUMT12X](4,561)
Last online purchase: never
[I_BUX](4,532)
Last online purchase: in the last 3 months
[I_BUY3](15,130)
Online purchases in the last 3 months for between 100 and 499 euro (until 2019)
[I_IBV_100-499](10,934)
Online purchases in the last 3 months for between 50 and 99 euro (until 2019)
[I_IBV_50-99](10,934)
Online purchases in the last 3 months for between 500 and 999 euro (until 2019)
[I_IBV_500-999](10,934)
Online purchases in the last 3 months for 1000 euro or more (until 2019)
[I_IBV_GE1000](10,887)
Online purchases in the last 3 months for 100 euro or more (until 2019)
[I_IBV_HI](8,112)
Online purchases in the last 3 months for less than 50 euro (until 2019)
[I_IBV_LT50](10,934)
Individual type[ind_type]
Individuals who are born in another EU Member State
[CB_EU_FOR](6,183)
Individuals who are born in non-EU country
[CB_EXT_EU](6,168)
Individuals who are foreign-born
[CB_FOR](6,333)
Individuals who are native-born
[CB_NAT](6,338)
Nationals of another EU-Member State
[CC_EU_FOR](6,140)
Nationals of non-EU country
[CC_EXT_EU](6,127)
Non-nationals
[CC_FOR](6,323)
Nationals
[CC_NAT](6,341)
Individuals in the labour force (employed and unemployed)
[EMPL_UNE](6,885)
Working with a permanent job or under contract of unlimited duration
[EMP_CON_PRM](259)
Working with a temporary job or under contract of limited duration
[EMP_CON_TMP](259)
Working in public administration, defence, education, human health or social work activities
[EMP_SECT_ADM](259)
Working in agriculture, forestry or fishing
[EMP_SECT_AFF](266)
Working in business services
[EMP_SECT_BS](259)
Working in construction
[EMP_SECT_CON](266)
Working in financial or insurance activities
[EMP_SECT_FIN](259)
Working in information or communication
[EMP_SECT_IC](266)
Working in mining or quarrying, manufacturing or other industry
[EMP_SECT_MQM](266)
Working in other service activities
[EMP_SECT_OTH](266)
Working in real estate activities
[EMP_SECT_RE](259)
Working in wholesale or retail trade, transport, accommodation or food service activities
[EMP_SECT_TTAFS](266)
Employees working full time
[EMP_WKT_FT](266)
Employees working part time
[EMP_WKT_PT](266)
Females with low formal education
[F_I0_2](6,863)
Females with medium formal education
[F_I3_4](6,885)
Females with high formal education
[F_I5_8](6,885)
Females, 16 to 19 years old
[F_Y16_19](6,494)
Females, 16 to 24 years old
[F_Y16_24](6,885)
Females, 16 to 29 years old
[F_Y16_29](6,509)
Females, 16 to 74 years old
[F_Y16_74](6,885)
Females, 20 to 24 years old
[F_Y20_24](6,509)
Females, 25 to 29 years old
[F_Y25_29](6,494)
Females, 25 to 34 years old
[F_Y25_34](6,010)
Females 25 to 54 years old
[F_Y25_54](6,885)
Females, 25 to 64 years old
[F_Y25_64](6,885)
Females 35 to 44 years old
[F_Y35_44](6,010)
Females 45 to 54 years old
[F_Y45_54](6,010)
Females 55 to 64 years old
[F_Y55_64](6,006)
Females 55 to 74 years old
[F_Y55_74](6,877)
Females 65 to 74 years old
[F_Y65_74](5,987)
Individual living in a household with income in first quartile
[HHI_Q1](5,821)
Individual living in a household with income in second quartile
[HHI_Q2](5,821)
Individual living in a household with income in third quartile
[HHI_Q3](5,823)
Individual living in a household with income in fourth quartile
[HHI_Q4](5,820)
Individuals with no or low formal education
[I0_2](6,873)
Individuals with medium formal education
[I3_4](6,885)
Individuals with high formal education
[I5_8](6,885)
Individuals living in a household with broadband access
[IND_BROAD](6,885)
Individuals living in a household with Internet access but with no broadband access
[IND_BROADX](6,542)
Individuals living in a household with children
[IND_DCH](5,975)
Individuals living in cities
[IND_DEG1](6,134)
Individuals living in towns and suburbs
[IND_DEG2](6,118)
Individuals living in rural areas
[IND_DEG3](6,134)
Individuals living in Not Objective 1 regions / 'Regional Competitiveness and Employment' Region
[IND_NO1](2,941)
Individuals living in a household without children
[IND_NO_DCH](5,957)
Individuals living in Objective 1 regions / 'Convergence' regions
[IND_O1](3,207)
All Individuals
[IND_TOTAL](6,885)
Non-manual including the armed forces
[ISCO0_5](6,723)
Manual
[ISCO6_9](6,723)
ICT professionals
[ISCO_ICT](6,723)
Non ICT professionals
[ISCO_ICTX](6,723)
Mobile internet users
[MD](3,752)
Non-users of mobile internet
[MDX](3,752)
Males with low formal education
[M_I0_2](6,869)
Males with medium formal education
[M_I3_4](6,885)
Males with high formal education
[M_I5_8](6,885)
Males, 16 to 19 years old
[M_Y16_19](6,492)
Males, 16 to 24 years old
[M_Y16_24](6,885)
Males, 16 to 29 years old
[M_Y16_29](6,509)
Males, 16 to 74 years old
[M_Y16_74](6,885)
Males, 20 to 24 years old
[M_Y20_24](6,509)
Males, 25 to 29 years old
[M_Y25_29](6,494)
Males, 25 to 34 years old
[M_Y25_34](6,010)
Males 25 to 54 years old
[M_Y25_54](6,885)
Males, 25 to 64 years old
[M_Y25_64](6,885)
Males 35 to 44 years old
[M_Y35_44](6,010)
Males 45 to 54 years old
[M_Y45_54](6,010)
Males 55 to 64 years old
[M_Y55_64](6,010)
Males 55 to 74 years old
[M_Y55_74](6,881)
Males 65 to 74 years old
[M_Y65_74](5,996)
Retired Individuals
[RETIR](920)
Individuals who are retired or not in the labour force (excluding students)
[RETIR_OTHER](6,881)
"Individuals with at least one of the 3 following characteristics: 55 to 74 years old; low education; unemployed or inactive or retired"
[RF_GE1](3,392)
"Individuals with at least two of the 3 following characteristics: 55 to 74 years old; low education; unemployed or inactive or retired"
[RF_GE2](3,392)
Employees
[SAL](1,925)
Employees, self-employed, family workers
[SAL_SELF_FAM](6,885)
Self-employed, family workers
[SELF_FAM](1,912)
Students
[STUD](6,885)
Unemployed
[UNE](6,885)
Individuals, 15 years old or less
[Y0_15](1,522)
Individuals, 16 to 19 years old
[Y16_19](6,494)
Individuals, 16 to 24 years old
[Y16_24](6,885)
Individuals aged 16-24 with high formal education
[Y16_24HI](6,875)
Individuals aged 16-24 with low education
[Y16_24LO](6,853)
Individuals aged 16-24 with medium formal education
[Y16_24ME](6,875)
Individuals, 16 to 29 years old
[Y16_29](6,509)
Individuals aged 16-29 with high formal education
[Y16_29HI](6,509)
Individuals aged 16-29 with low formal education
[Y16_29LO](6,487)
Individuals aged 16-29 with medium formal education
[Y16_29ME](6,509)
Individuals, 20 to 24 years old
[Y20_24](6,509)
Individuals, 25 to 29 years old
[Y25_29](6,494)
Individuals, 25 to 34 years old
[Y25_34](6,885)
Individuals, 25 to 54 years old
[Y25_54](6,885)
Individuals aged 25 to 54 with high formal education
[Y25_54HI](6,875)
Individuals aged 25 to 54 with low formal education
[Y25_54LO](6,859)
Individuals aged 25 to 54 with medium formal education
[Y25_54ME](6,875)
Individuals, 25 to 64 years old
[Y25_64](6,885)
Individuals aged 25 to 64 with high formal education
[Y25_64HI](6,875)
Individuals aged 25 to 64 with low formal education
[Y25_64LO](6,859)
Individuals aged 25 to 64 with medium formal education
[Y25_64ME](6,875)
Individuals aged 25 to 64 who are in the labour force (employed and unemployed)
[Y25_64_EMPL_UNE](6,120)
Individuals aged 25 to 64 who are retired or not in the labour force (excluding students)
[Y25_64_RETIROTH](6,871)
Individuals aged 25 to 64 who are employees, self-employed or family workers
[Y25_64_SALSELFFAM](6,875)
Individuals aged 25 to 64 who are unemployed
[Y25_64_UNE](6,875)
Individuals, 35 to 44 years old
[Y35_44](6,885)
Individuals, 45 to 54 years old
[Y45_54](6,885)
Individuals, 55 to 64 years old
[Y55_64](6,881)
Individuals, 55 to 74 years old
[Y55_74](6,881)
Individuals aged 55 to 74 with high formal education
[Y55_74HI](6,867)
Individuals aged 55 to 74 with low formal education
[Y55_74LO](6,783)
Individuals aged 55 to 74 with medium formal education
[Y55_74ME](6,871)
Individuals, 65 to 74 years old
[Y65_74](6,865)
Individuals, 75 years old or more
[Y75_MAX](1,445)
Unit of measure[unit]
Percentage of individuals
[PC_IND](243,758)
Percentage of individuals who purchased online from sellers from other countries (EU or non-EU)
[PC_IND_BFFOR](19,007)
Percentage of individuals who ordered goods or services, over the internet, for private use, in the last year
[PC_IND_BLT12](174,226)
Percentage of individuals who purchased online in the last 3 months
[PC_IND_BUY3](45,268)
Percentage of individuals who used internet within the last year
[PC_IND_ILT12](189,007)
Percentage of individuals who used internet in the last 3 months
[PC_IND_IU3](5,110)
Geopolitical entity (reporting)[geo]
Albania
[AL](10,925)
Austria
[AT](16,520)
Bosnia and Herzegovina
[BA](11,179)
Belgium
[BE](16,623)
Bulgaria
[BG](16,350)
Switzerland
[CH](9,652)
Cyprus
[CY](16,396)
Czechia
[CZ](16,202)
Germany
[DE](16,053)
Denmark
[DK](16,530)
Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)
[EA](15,824)
Estonia
[EE](15,978)
Greece
[EL](16,652)
Spain
[ES](15,994)
European Union - 15 countries (1995-2004)
[EU15](15,838)
European Union - 25 countries (2004-2006)
[EU25](6,135)
European Union - 27 countries (2007-2013)
[EU27_2007](15,859)
European Union - 27 countries (from 2020)
[EU27_2020](15,946)
European Union - 28 countries (2013-2020)
[EU28](15,816)
Finland
[FI](16,534)
France
[FR](16,052)
Croatia
[HR](16,331)
Hungary
[HU](16,722)
Ireland
[IE](16,319)
Iceland
[IS](16,451)
Italy
[IT](15,980)
Lithuania
[LT](16,517)
Luxembourg
[LU](16,435)
Latvia
[LV](16,676)
Montenegro
[ME](12,217)
North Macedonia
[MK](15,257)
Malta
[MT](16,286)
Netherlands
[NL](16,673)
Norway
[NO](16,560)
Poland
[PL](16,607)
Portugal
[PT](16,740)
Romania
[RO](16,769)
Serbia
[RS](13,746)
Sweden
[SE](16,564)
Slovenia
[SI](15,818)
Slovakia
[SK](16,980)
Türkiye
[TR](12,735)
United Kingdom
[UK](15,540)
Kosovo*
[XK](13,395)
Dataset has 676,376 series. Add search filters to narrow them.
[I_BFFOR_TRH] Online purchases from sellers abroad: travel, accommodation or holiday arrangements (e.g. tickets and documents by mail or printed by oneself)
[I_BFFOR_TRHOSV] Online purchases from sellers abroad: travel, accommodation or holiday arrangements or other services (e.g. tickets for events received by mail, telecom subscriptions)
[I_BFILM] Online purchases: films/music
[I_BFILMO] Online purchases: films/music, delivered or upgraded online