Last observation: 2026Q1 (N = 259)
First observation: 2010Q1 (N = 148)
Last data update: 14 août 2026, 23:35. Last compile: 01 sept. 2026, 23:45
Data - Eurostat
Last observation: 2026Q1 (N = 259)
First observation: 2010Q1 (N = 148)
Last data update: 14 août 2026, 23:35. Last compile: 01 sept. 2026, 23:45
env_ac_aigg_q |>
filter(geo %in% c("FR", "DE", "IT", "ES"),
nace_r2 == "TOTAL_HH",
unit == "THS_T",
s_adj == "SA") |>
quarter_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/1000) |>
mutate(color = ifelse(geo == "ES", color2, color)) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(2010, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Greenhouse gas emissions (Mt CO2 eq., SA)")
env_ac_aigg_q |>
filter(geo == "EU27_2020",
nace_r2 %in% c("A", "C", "D", "H"),
unit == "THS_T",
s_adj == "SA") |>
quarter_to_date() |>
mutate(values = values/1000) |>
ggplot() + geom_line(aes(x = date, y = values, color = Nace_r2)) +
theme_minimal() +
scale_x_date(breaks = as.Date(paste0(seq(2010, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "right") +
xlab("") + ylab("Greenhouse gas emissions (Mt CO2 eq., SA)")
latest_q <- env_ac_aigg_q |>
filter(nace_r2 == "TOTAL_HH", unit == "THS_T", s_adj == "SA", !is.na(values)) |>
summarise(m = max(time)) |>
pull(m)
env_ac_aigg_q |>
filter(nace_r2 == "TOTAL_HH",
unit %in% c("THS_T", "T_HAB"),
s_adj == "SA",
time == latest_q) |>
mutate(values = ifelse(unit == "THS_T", values/1000, values),
unit_label = ifelse(unit == "THS_T", "Mt CO2 eq.", "Tonnes per capita")) |>
select(Geo, unit_label, values) |>
spread(unit_label, values) |>
arrange(desc(`Mt CO2 eq.`)) |>
print_table_conditional()| Geo | Mt CO2 eq. | Tonnes per capita |
|---|---|---|
| European Union - 27 countries (from 2020) | 837.153607 | 1.850 |
| Germany | 172.546716 | 2.069 |
| France | 100.428672 | 1.453 |
| Italy | 96.244507 | 1.633 |
| Poland | 91.853026 | 2.464 |
| Spain | 71.981007 | 1.450 |
| Netherlands | 42.531707 | 2.346 |
| Romania | 30.229824 | 1.587 |
| Belgium | 26.424738 | 2.215 |
| Czechia | 23.991616 | 2.201 |
| Denmark | 21.989006 | 3.649 |
| Greece | 20.013209 | 1.897 |
| Ireland | 17.717270 | 3.215 |
| Austria | 17.429648 | 1.890 |
| Hungary | 16.100378 | 1.698 |
| Portugal | 13.723185 | 1.263 |
| Sweden | 13.577567 | 1.270 |
| Bulgaria | 11.997303 | 1.871 |
| Finland | 10.569609 | 1.869 |
| Slovakia | 8.573199 | 1.572 |
| Croatia | 6.478594 | 1.665 |
| Lithuania | 6.283369 | 2.178 |
| Slovenia | 3.768733 | 1.765 |
| Estonia | 3.177757 | 2.335 |
| Latvia | 2.980925 | 1.638 |
| Luxembourg | 2.425487 | 3.503 |
| Cyprus | 2.357663 | 2.363 |
| Malta | 1.758894 | 2.979 |