Disaggregated final energy consumption in industry - quantities by NACE Rev. 2 activity

Data - Eurostat

Author

François Geerolf

Info

source dataset Title .html .rData
eurostat nrg_d_indq_n Disaggregated final energy consumption in industry - quantities by NACE Rev. 2 activity 2025-10-10 2025-10-10

Data on energy

source dataset Title .html .rData
ec WOB Weekly Oil Bulletin 2025-08-28 2024-08-25
eurostat ei_isen_m Energy - monthly data 2025-10-10 2025-09-26
eurostat nrg_bal_c Complete energy balances 2023-12-31 2025-10-10
eurostat nrg_pc_202 Gas prices for household consumers - bi-annual data (from 2007 onwards) 2025-10-10 2025-10-10
eurostat nrg_pc_203 Gas prices for non-household consumers - bi-annual data (from 2007 onwards) 2023-06-11 2025-10-09
eurostat nrg_pc_203_c Gas prices components for non-household consumers - annual data 2025-10-10 2025-10-10
eurostat nrg_pc_203_h Gas prices for industrial consumers - bi-annual data (until 2007) 2025-10-10 2025-10-09
eurostat nrg_pc_203_v Non-household consumption volumes of gas by consumption bands 2025-10-10 2025-10-10
eurostat nrg_pc_204 Electricity prices for household consumers - bi-annual data (from 2007 onwards) 2025-10-10 2025-10-11
eurostat nrg_pc_205 Electricity prices for non-household consumers - bi-annual data (from 2007 onwards) 2023-06-11 2025-10-10
fred energy Energy 2025-10-09 2025-10-09
iea world_energy_balances_highlights_2022 World Energy Balances Highlights (2022 edition) 2024-06-20 2023-04-24
wb CMO World Bank Commodity Price Data (The Pink Sheet) 2025-08-24 2025-08-24
wdi EG.GDP.PUSE.KO.PP.KD GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent) 2025-10-10 2025-09-27
wdi EG.USE.PCAP.KG.OE Energy use (kg of oil equivalent per capita) 2025-10-10 2025-09-27
yahoo energy Energy 2025-09-22 2025-10-11

LAST_COMPILE

LAST_COMPILE
2025-10-11

Last

Code 
nrg_d_indq_n %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2023 140358

Info

  • Final energy consumption in industry - detailed statistics html
Code 
include_graphics("https://ec.europa.eu/eurostat/statistics-explained/images/5/55/Final_energy_consumption_in_the_chemical_and_petrochemical_industry_by_energy_product%2C_EU%2C_2021_%28PJ%29.png")

siec

Code 
nrg_d_indq_n %>%
  left_join(siec, by = "siec") %>%
  group_by(siec, Siec) %>%
  summarise(Nobs = n()) %>%
  print_table_conditional()

nace_r2

Code 
nrg_d_indq_n %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

unit

Code 
nrg_d_indq_n %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
unit Unit Nobs
TJ_NCV Terajoule (net calorific value - NCV) 393288
THS_T Thousand tonnes 259882
TJ_GCV Terajoule (gross calorific value - GCV) 63243
GWH Gigawatt-hour 9454

geo

Code 
nrg_d_indq_n %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

time

Code 
nrg_d_indq_n %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()
time Nobs
2023 140358
2022 140922
2021 140432
2020 123136
2019 63033
2018 59018
2017 58968