Gas prices components for non-household consumers - annual data

Data - Eurostat

Author

François Geerolf

Info

LAST_COMPILE

LAST_COMPILE
2024-11-22

Last

Code 
nrg_pc_203_c %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(2) %>%
  print_table_conditional()
time Nobs
2023 10200
2022 10829

Info

  • Electricity and gas prices in the first half of 2022. html / png

nrg_prc

Code 
nrg_pc_203_c %>%
  left_join(nrg_prc, by = "nrg_prc") %>%
  group_by(nrg_prc, Nrg_prc) %>%
  summarise(Nobs = n()) %>%
  print_table_conditional()
nrg_prc Nrg_prc Nobs
ALLOW_OTH Other allowance 611
NETC Network costs 8414
NRG_SUP Energy and supply 8378
OTH Other 7698
TAX_CAP Capacity taxes 7650
TAX_CAP_ALLOW Capacity taxes allowances 560
TAX_ENV Environmental taxes 8146
TAX_ENV_ALLOW Environmental taxes allowance 560
TAX_FEE_LEV_CHRG Taxes, fees, levies and charges 8374
TAX_RNW Renewable taxes 7470
TAX_RNW_ALLOW Renewable taxes allowance 560
VAT Value added tax (VAT) 8374

nrg_cons

Code 
nrg_pc_203_c %>%
  left_join(nrg_cons, by = "nrg_cons") %>%
  group_by(nrg_cons, Nrg_cons) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
nrg_cons Nrg_cons Nobs
GJ10000-99999 Consumption from 10 000 GJ to 99 999 GJ - band I3 10563
GJ1000-9999 Consumption from 1 000 GJ to 9 999 GJ -band I2 10323
GJ100000-999999 Consumption from 100 000 GJ to 999 999 GJ - band I4 10323
GJ_LT1000 Consumption less than 1 000 GJ - band I1 10323
GJ1000000-3999999 Consumption from 1 000 000 GJ to 3 999 999 GJ - band I5 9431
TOT_GJ Consumption of GJ - all bands 8740
GJ_GE4000000 Consumption 4 000 000 GJ or over - band I6 7092

unit

Code 
nrg_pc_203_c %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
unit Unit Nobs
GJ_GCV Gigajoule (gross calorific value - GCV) 34543
KWH Kilowatt-hour 32252

geo

Code 
nrg_pc_203_c %>%
  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_pc_203_c %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()
time Nobs
2023 10200
2022 10829
2021 10022
2020 9876
2019 10524
2018 7800
2017 7544

2022, Countries

Germany

Code 
nrg_pc_203_c %>%
  filter(time == "2022",
         geo == "DE",
         unit == "GJ_GCV",
         currency == "EUR") %>%
  left_join(nrg_prc, by = "nrg_prc") %>%
  select(nrg_prc, Nrg_prc, nrg_cons, values) %>%
  spread(nrg_cons, values) %>%
  print_table_conditional()
nrg_prc Nrg_prc GJ_GE4000000 GJ_LT1000 GJ1000-9999 GJ10000-99999 GJ100000-999999 GJ1000000-3999999 TOT_GJ
ALLOW_OTH Other allowance NA NA NA NA NA NA 0.0000
NETC Network costs 0.4069 3.6880 2.8133 1.7092 0.9140 0.4910 1.4102
NRG_SUP Energy and supply 24.8358 11.8181 10.8406 11.5530 14.4307 19.6666 16.2859
OTH Other 0.0000 0.1415 0.0974 0.0338 0.0000 0.0000 0.0331
TAX_CAP Capacity taxes 0.1710 0.1740 0.1861 0.1896 0.2027 0.1980 0.1878
TAX_CAP_ALLOW Capacity taxes allowances NA NA NA NA NA NA 0.0000
TAX_ENV Environmental taxes 1.4947 2.7953 2.7233 2.5771 2.1292 1.5950 2.1303
TAX_ENV_ALLOW Environmental taxes allowance NA NA NA NA NA NA 0.0000
TAX_FEE_LEV_CHRG Taxes, fees, levies and charges 5.9948 5.8736 5.5028 5.2756 5.0574 5.2342 5.4685
TAX_RNW Renewable taxes NA NA NA NA NA NA 0.0000
TAX_RNW_ALLOW Renewable taxes allowance NA NA NA NA NA NA 0.0000
VAT Value added tax (VAT) 4.3291 2.7628 2.4960 2.4751 2.7255 3.4412 3.1174

France

Code 
nrg_pc_203_c %>%
  filter(time == "2022",
         geo == "FR",
         unit == "GJ_GCV",
         currency == "EUR") %>%
  left_join(nrg_prc, by = "nrg_prc") %>%
  select(nrg_prc, Nrg_prc, nrg_cons, values) %>%
  spread(nrg_cons, values) %>%
  print_table_conditional()
nrg_prc Nrg_prc GJ_GE4000000 GJ_LT1000 GJ1000-9999 GJ10000-99999 GJ100000-999999 GJ1000000-3999999 TOT_GJ
ALLOW_OTH Other allowance NA NA NA NA NA NA 0.0000
NETC Network costs 0.3585 4.2401 3.0002 1.7358 0.7803 0.4579 2.0129
NRG_SUP Energy and supply 18.4202 14.1240 14.1018 14.7067 16.9001 20.5976 15.7498
OTH Other NA NA NA NA NA NA 0.0000
TAX_CAP Capacity taxes 0.0022 0.2039 0.0903 0.1509 0.0834 0.0315 0.1082
TAX_CAP_ALLOW Capacity taxes allowances NA NA NA NA NA NA 0.0000
TAX_ENV Environmental taxes 0.1061 2.2858 2.2622 1.7955 0.6004 0.2551 1.4728
TAX_ENV_ALLOW Environmental taxes allowance NA NA NA NA NA NA 0.0000
TAX_FEE_LEV_CHRG Taxes, fees, levies and charges 0.8162 6.3194 5.9140 5.3453 3.2996 2.6567 4.6954
TAX_RNW Renewable taxes NA NA NA NA NA NA 0.0000
TAX_RNW_ALLOW Renewable taxes allowance NA NA NA NA NA NA 0.0000
VAT Value added tax (VAT) 0.7079 3.8297 3.5615 3.3989 2.6158 2.3700 3.1144

Spain

Code 
nrg_pc_203_c %>%
  filter(time == "2022",
         geo == "FR",
         unit == "GJ_GCV",
         currency == "EUR") %>%
  left_join(nrg_prc, by = "nrg_prc") %>%
  select(nrg_prc, Nrg_prc, nrg_cons, values) %>%
  spread(nrg_cons, values) %>%
  print_table_conditional()
nrg_prc Nrg_prc GJ_GE4000000 GJ_LT1000 GJ1000-9999 GJ10000-99999 GJ100000-999999 GJ1000000-3999999 TOT_GJ
ALLOW_OTH Other allowance NA NA NA NA NA NA 0.0000
NETC Network costs 0.3585 4.2401 3.0002 1.7358 0.7803 0.4579 2.0129
NRG_SUP Energy and supply 18.4202 14.1240 14.1018 14.7067 16.9001 20.5976 15.7498
OTH Other NA NA NA NA NA NA 0.0000
TAX_CAP Capacity taxes 0.0022 0.2039 0.0903 0.1509 0.0834 0.0315 0.1082
TAX_CAP_ALLOW Capacity taxes allowances NA NA NA NA NA NA 0.0000
TAX_ENV Environmental taxes 0.1061 2.2858 2.2622 1.7955 0.6004 0.2551 1.4728
TAX_ENV_ALLOW Environmental taxes allowance NA NA NA NA NA NA 0.0000
TAX_FEE_LEV_CHRG Taxes, fees, levies and charges 0.8162 6.3194 5.9140 5.3453 3.2996 2.6567 4.6954
TAX_RNW Renewable taxes NA NA NA NA NA NA 0.0000
TAX_RNW_ALLOW Renewable taxes allowance NA NA NA NA NA NA 0.0000
VAT Value added tax (VAT) 0.7079 3.8297 3.5615 3.3989 2.6158 2.3700 3.1144

Italy

Code 
nrg_pc_203_c %>%
  filter(time == "2022",
         geo == "IT",
         unit == "GJ_GCV",
         currency == "EUR") %>%
  left_join(nrg_prc, by = "nrg_prc") %>%
  select(nrg_prc, Nrg_prc, nrg_cons, values) %>%
  spread(nrg_cons, values) %>%
  print_table_conditional()
nrg_prc Nrg_prc GJ_GE4000000 GJ_LT1000 GJ1000-9999 GJ10000-99999 GJ100000-999999 GJ1000000-3999999 TOT_GJ
ALLOW_OTH Other allowance 0.0000 0.5584 0.0000 0.0000 0.0000 0.0000 0.0944
NETC Network costs 0.8060 4.5015 2.9514 1.4384 0.8888 0.8133 1.9283
NRG_SUP Energy and supply 32.1582 22.2618 22.0148 22.1821 22.6393 27.9504 23.3552
OTH Other 0.0012 -0.5584 0.2924 0.1693 0.0878 0.0931 0.0261
TAX_CAP Capacity taxes 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
TAX_CAP_ALLOW Capacity taxes allowances 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
TAX_ENV Environmental taxes 0.0184 2.9511 1.9902 0.6185 0.4201 0.0477 1.0723
TAX_ENV_ALLOW Environmental taxes allowance 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
TAX_FEE_LEV_CHRG Taxes, fees, levies and charges 2.9900 3.9190 3.6021 1.9403 1.7565 2.1593 2.5371
TAX_RNW Renewable taxes 0.0000 0.0167 0.0319 0.0099 0.0027 0.0113 0.0121
TAX_RNW_ALLOW Renewable taxes allowance 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
VAT Value added tax (VAT) 2.9705 1.5096 1.2875 1.1426 1.2460 2.0071 1.4267