Air emissions accounts for greenhouse gases by NACE Rev. 2 activity - quarterly data

Data - Eurostat

Info

LAST_DOWNLOAD

Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/eurostat/env_ac_aigg_q.RData")$mtime)) %>%
  print_table_conditional()
LAST_DOWNLOAD
2026-01-30

LAST_COMPILE

LAST_COMPILE
2026-01-31

Last

Code
env_ac_aigg_q %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2025Q2 222

airpol

Code
env_ac_aigg_q %>%
  left_join(airpol, by = "airpol") %>%
  group_by(airpol, Airpol) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
airpol Airpol Nobs
GHG Greenhouse gases (CO2, N2O in CO2 equivalent, CH4 in CO2 equivalent, HFC in CO2 equivalent, PFC in CO2 equivalent, SF6 in CO2 equivalent, NF3 in CO2 equivalent) 13468

nace_r2

Code
env_ac_aigg_q %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
nace_r2 Nace_r2 Nobs
TOTAL_HH All NACE activities plus households 10192
A Agriculture, forestry and fishing 364
B Mining and quarrying 364
C Manufacturing 364
D Electricity, gas, steam and air conditioning supply 364
E Water supply; sewerage, waste management and remediation activities 364
F Construction 364
G-U_X_H Services (except transportation and storage) 364
H Transportation and storage 364
HH Total activities by households 364

unit

Code
env_ac_aigg_q %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
unit Unit Nobs
THS_T Thousand tonnes 4588
T_HAB Tonnes per capita 4588
PCH_SM Percentage change compared to same period in previous year 4292

geo

Code
env_ac_aigg_q %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  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 .}