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Eurostat
All Eurostat datasets in the StackData catalog: statistical dataflows from European Commission (Eurostat), each queryable as a table in any language.
- Volume of containers transported to/from main ports - quarterly data (2000 - 2002) MAR_GO_QM_C2002
- Volume of containers transported to/from main ports - quarterly data (2003 - 2004) MAR_GO_QM_C2004
- Volume of containers transported to/from main ports - quarterly data (2005 - 2006) MAR_GO_QM_C2006
- Volume of containers transported to/from main ports - quarterly data (2007 - 2008) MAR_GO_QM_C2008
- Volume of containers transported to/from main ports - quarterly data (2009 - 2010) MAR_GO_QM_C2010
- Volume of containers transported to/from main ports - quarterly data (2011 - 2012) MAR_GO_QM_C2012
- Volume of containers transported to/from main ports - quarterly data (2013 - 2014) MAR_GO_QM_C2014
- Volume of containers transported to/from main ports - quarterly data (2015 - 2016) MAR_GO_QM_C2016
- Volume of containers transported to/from main ports - quarterly data (2017 - 2018) MAR_GO_QM_C2018
- Volume of containers transported to/from main ports - quarterly data (2019 - 2020) MAR_GO_QM_C2020
- Volume of containers transported to/from main ports - quarterly data (2021 - 2022) MAR_GO_QM_C2022
- Volume of containers transported to/from main ports - quarterly data (2023 - 2024) MAR_GO_QM_C2024
- Volume of containers transported to/from main ports – quarterly data (2025 – 2026) MAR_GO_QM_C2026
- Volume of freight transport relative to GDP TRAN_HV_FRTRA
- Volume of job-related non-formal education and training per participant in the last 12 months by duration, sex and age QOE_EWCS_6_2
- Volume of passenger transport relative to GDP TRAN_HV_PSTRA
- Volume of passenger transport relative to GDP TTR00001
- Volume of timber (FAO) FOR_VOL
- Volume of timber over bark (EFA questionnaire) FOR_VOL_EFA
- Wagons and their load capacity by type of wagons RAIL_EQ_WAGON
- Walking and cycling at least 30 minutes per day by sex, age and educational attainment level HLTH_EHIS_PE6E
- Waste electrical and electronic equipment (WEEE) by waste management operations ENV_WASELEE
- Waste electrical and electronic equipment (WEEE) by waste management operations ENV_WASELEE$DV_3022
- Waste electrical and electronic equipment (WEEE) by waste management operations - open scope, 6 product categories (from 2018 onwards) ENV_WASELEEOS
- Waste electrical and electronic equipment (WEEE) by waste management operations - open scope, 6 product categories (from 2018 onwards) ENV_WASELEEOS$DV_3021
- Waste generated by households by year and waste category TEN00110
- Waste generation per capita CEI_PC034
- Water abstracted by sector of use TEN00006
- Water abstraction by river basin district (RBD) ENV_WATABS_RB
- Water exploitation index, plus (WEI+) SDG_06_60
- Water made available for use ENV_WAT_USE
- Water resources: long-term annual average TEN00001
- Water use balance ENV_WAT_BAL
- Water use by economic activity - ENP-South countries ENPS_ENV_WAT_CAT
- Water use by river basin district (RBD) ENV_WATUSE_RB
- Water use by supply category and economical sector ENV_WAT_CAT
- Water use by supply category and economical sector ENV_WAT_CAT$DV_3266
- Water use in the manufacturing industry by activity and supply category ENV_WAT_IND
- Way of obtaining ICT skills (2005-2018) ISOC_SK_HOW_I
- Way of obtaining ICT skills (2005-2018) ISOC_SK_HOW_I$DV_264
- Websites and functionalities by NACE Rev. 2 activity ISOC_CIWEBN2
- Websites and functionalities by size class of enterprise ISOC_CIWEB
- Weekly absences from work - experimental statistics (2015-2022) LFSI_ABS_W
- Weekly working hours by professional status and occupation LFSA_QOE_3A4
- Weights of producer prices of agricultural products - survey 1995 APRI_PI95_VWPA
- Weights of purchase prices of the means of agricultural production - survey 1995 APRI_PI95_VWIA
- Wheat and spelt by area, production and humidity TAG00047
- Who developed the innovation activity by NACE Rev. 1.1 (1996) INN_C221
- Who developed the innovation activity by size class (1996) INN_C222
- Wholesale trade - operating costs and types of customer (NACE Rev. 1.1, G51, 5-yearly statistics) (2003) DT_OTH_3D51_03
- Wine-grower holdings by degree of specialisation VIT_T3
- Wine-grower holdings by production VIT_T1
- Wine-grower holdings by size class VIT_T2
- Women as victims/non-victims of violence, by awareness of free legal aid GBV_AWR_LEG
- Women as victims/non-victims of violence, by awareness of the existence of support services GBV_AWR_SERV
- Women who experienced repeated violence by a non-partner, by duration of violence GBV_NPV_RDUR
- Women who experienced repeated violence by a non-partner, by periodicity of the violence GBV_NPV_ROFT
- Women who experienced repeated violence by any perpetrator, by duration of violence GBV_ANY_RDUR
- Women who experienced repeated violence by any perpetrator, by periodicity of the violence GBV_ANY_ROFT
- Women who have experienced physical or psychological violence during childhood, by type of perpetrator GBV_CH_PHPS
- Women who have experienced physical violence by parents during childhood, by type of perpetrator GBV_CH_PH
- Women who have experienced psychological violence by parents during childhood, by type of perpetrator GBV_CH_PS
- Women who have experienced sexual violence during childhood, by age group GBV_CH_AGE
- Women who have experienced sexual violence during childhood, by person/support service to whom violence was reported GBV_CH_RP
- Women who have experienced sexual violence during childhood, by type of perpetrator GBV_CH_PERP
- Women who have experienced stalking, by age group GBV_ST_AGE
- Women who have experienced stalking, by consequences of violence GBV_ST_CNQ
- Women who have experienced stalking, by occurrence of the last episode GBV_ST_OCC
- Women who have experienced stalking, by person/support service to whom violence was reported GBV_ST_RP
- Women who have experienced stalking, by type of perpetrator GBV_ST_PERP
- Women who have experienced violence by a domestic perpetrator, by age group GBV_DV_AGE
- Women who have experienced violence by a domestic perpetrator, by country of birth GBV_DV_COB
- Women who have experienced violence by a domestic perpetrator, by degree of urbanisation GBV_DV_DU
- Women who have experienced violence by a domestic perpetrator, by level of disability (activity limitation) GBV_DV_LIM
- Women who have experienced violence by a domestic perpetrator, by level of education GBV_DV_ED
- Women who have experienced violence by a domestic perpetrator, by occurrence of the last episode GBV_DV_OCC
- Women who have experienced violence by a domestic perpetrator, by type of violence GBV_DV_TYPE
- Women who have experienced violence by a non-partner and consequences of violence GBV_NPV_CNQ
- Women who have experienced violence by a non-partner, by age group GBV_NPV_AGE
- Women who have experienced violence by a non-partner, by country of birth GBV_NPV_COB
- Women who have experienced violence by a non-partner, by degree of urbanisation GBV_NPV_DU
- Women who have experienced violence by a non-partner, by level of disability (activity limitation) GBV_NPV_LIM
- Women who have experienced violence by a non-partner, by level of education GBV_NPV_ED
- Women who have experienced violence by a non-partner, by occurrence of the last episode GBV_NPV_OCC
- Women who have experienced violence by a non-partner, by person/support service to whom violence was reported GBV_NPV_RP
- Women who have experienced violence by a non-partner, by type and frequency of violence GBV_NPV_FRQ
- Women who have experienced violence by a non-partner, by type of perpetrator GBV_NPV_PERP
- Women who have experienced violence by a non-partner, by type of violence GBV_NPV_TYPE
- Women who have experienced violence by any perpetrator and consequences of violence GBV_ANY_CNQ
- Women who have experienced violence by any perpetrator, by age group GBV_ANY_AGE
- Women who have experienced violence by any perpetrator, by consequences and type of perpetrator GBV_ANY_CNQV
- Women who have experienced violence by any perpetrator, by country of birth GBV_ANY_COB
- Women who have experienced violence by any perpetrator, by degree of urbanisation GBV_ANY_DU
- Women who have experienced violence by any perpetrator, by level of disability (activity limitation) GBV_ANY_LIM
- Women who have experienced violence by any perpetrator, by level of education GBV_ANY_ED
- Women who have experienced violence by any perpetrator, by occurrence of injury GBV_ANY_INJOCC
- Women who have experienced violence by any perpetrator, by occurrence of the last episode GBV_ANY_OCC
- Women who have experienced violence by any perpetrator, by person/support service to whom violence was reported GBV_ANY_RP
- Women who have experienced violence by any perpetrator, by type and frequency of violence GBV_ANY_FRQ
- Women who have experienced violence by any perpetrator, by type of violence GBV_ANY_TYPE
- Women who have experienced violence by one or several types of perpetrators out of non-partner, current partner or former partner GBV_ANY_PERP
- Women who have witnessed violence between parents during childhood, by type of perpetrator GBV_CH_VBP
- Work from home, from an external site or on the move (2018) ISOC_IW_HEM
- Work on weekends by professional status and occupation LFSA_QOE_3B3
- Work-related health problems in 1999, by sex HSW_HP_NUSE
- Young emigrants by sex, age and country of birth YTH_DEMO_080
- Young immigrants by sex, age and country of birth YTH_DEMO_070
- Young people's social origin, educational attainment level and labour outcomes in Europe (2000) EDAT_LFSO_00T3
- Young persons (aged 15-24) neither in employment nor in education and training - % of total population in private households in the same age group TIPSLM90
- Young persons (aged 20-24) with at least upper secondary educational attainment level by sex YTH_EDUC_030
- Young persons by educational attainment level, sex and age YTH_DEMO_040
- Young persons neither in employment nor in education and training (NEET rates) - annual data LFSI_NEET_A
- Young persons neither in employment nor in education and training (NEET rates) - annual data (2006–2020) LFSI_NEET_A_H
- Young persons neither in employment nor in education and training (NEET rates) - quarterly data LFSI_NEET_Q
- Young persons neither in employment nor in education and training (NEET rates) - quarterly data (2006–2020) LFSI_NEET_Q_H
- Young persons neither in employment nor in education and training (NEET) by citizenship SDG_08_20A
- Young persons neither in employment nor in education and training (NEET) by sex SDG_08_20
- Young persons neither in employment nor in education and training (NEET) by sex TESEM150
- Young persons neither in employment nor in education and training by citizenship (NEET rates) EDAT_LFSE_23
- Young persons neither in employment nor in education and training by citizenship (NEET rates) EDAT_LFSE_23$DV_1844
- Young persons neither in employment nor in education and training by citizenship and degree of urbanisation (NEET rates) EDAT_LFSE_36
- Young persons neither in employment nor in education and training by citizenship and NUTS 2 region (NEET rates) EDAT_LFSE_38
- Young persons neither in employment nor in education and training by country of birth (NEET rates) EDAT_LFSE_28
- Young persons neither in employment nor in education and training by country of birth (NEET rates) EDAT_LFSE_28$DV_1849
- Young persons neither in employment nor in education and training by country of birth and degree of urbanisation (NEET rates) EDAT_LFSE_35
- Young persons neither in employment nor in education and training by country of birth and NUTS 2 region (NEET rates) EDAT_LFSE_37
- Young persons neither in employment nor in education and training by degree of urbanisation (NEET rates) EDAT_LFSE_29
- Young persons neither in employment nor in education and training by educational attainment level (NEET rates) EDAT_LFSE_21
- Young persons neither in employment nor in education and training by labour status (NEET rates) EDAT_LFSE_20
- Young persons neither in employment nor in education and training by labour status (NEET rates) EDAT_LFSE_20$DV_1101
- Young persons neither in employment nor in education and training by labour status (NEET rates) EDAT_LFSE_20$DV_1807
- Young persons neither in employment nor in education and training by level of disability (activity limitation) (NEET rates) EDAT_LFSE_39
- Young persons neither in employment nor in education and training by NUTS 2 region (NEET rates) EDAT_LFSE_22
- Young persons neither in employment nor in education and training by type of disability, sex and age HLTH_DE030
- Youth employment by educational attainment level YTH_EMPL_010
- Youth employment rate (age group 20-29) TESEM070
- Youth employment rate by country of birth YTH_EMPL_020
- Youth employment rate by NUTS 2 region YTH_EMPL_030
- Youth long-term unemployment rate (12 months or more) YTH_EMPL_120
- Youth long-term unemployment rate (12 months or more) by NUTS 2 region YTH_EMPL_130
- Youth population on 1 January by sex, age and country of birth YTH_DEMO_060
- Youth self-employment by educational attainment level YTH_EMPL_040
- Youth transitions from education to working life in Europe (in number of months) (2000) EDAT_LFSO_00T1
- Youth unemployment by educational attainment level YTH_EMPL_090
- Youth unemployment rate - % of active population aged 15-24 TIPSLM80
- Youth unemployment rate by country of birth YTH_EMPL_100
- Youth unemployment rate by NUTS 2 region YTH_EMPL_110
- Youth unemployment rate by sex TESEM140
- Youth unemployment ratio (age group 15-24) TESPM080
- Youth unemployment ratio by NUTS 2 region YTH_EMPL_140