Last observation: 2025 (N = 2256)
First observation: 1995 (N = 1424)
Last data update: 14 aoû 2026, 23:18. Last compile: 18 aoû 2026, 01:06
Data - Eurostat
Last observation: 2025 (N = 2256)
First observation: 1995 (N = 1424)
Last data update: 14 aoû 2026, 23:18. Last compile: 18 aoû 2026, 01:06
gov_10dd_edpt1 |>
filter(time %in% c("2022", "2021"),
sector == "S13",
unit == "PC_GDP",
na_item == "GD") |>
select(geo, Geo, time, values) |>
spread(time, values) |>
mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, Geo, geo, everything()) |>
arrange(-`2022`) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}gov_10dd_edpt1 |>
filter(time %in% c("2022", "2021"),
sector == "S13",
unit == "PC_GDP",
na_item == "B9") |>
select(geo, Geo, time, values) |>
spread(time, values) |>
mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, Geo, geo, everything()) |>
arrange(-`2022`) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "GD") |>
group_by(geo) |>
filter(time == max(time)) %>%
select_if(~ n_distinct(.) > 1) |>
arrange(values) |>
select(geo, Geo, everything()) |>
print_table_conditional()gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "GD",
geo %in% c("NL", "LU", "DK", "SE", "FR")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
ggplot() + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "B9",
geo %in% c("NL", "LU", "DK", "SE", "FR")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
ggplot() + theme_minimal() + xlab("") + ylab("Deficit") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, 1),
labels = scales::percent_format(acc = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "GD",
geo %in% c("FR", "DE", "IT", "ES", "NL")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
ggplot() + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "B9",
geo %in% c("FR", "DE", "IT", "ES", "NL")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
ggplot() + theme_minimal() + xlab("") + ylab("Deficit") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, 1),
labels = scales::percent_format(acc = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 2), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "B9",
geo %in% c("FR", "DE", "IT", "ES", "NL")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
filter(date >= as.Date("2010-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Deficit") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-100, 260, 1),
labels = scales::percent_format(acc = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 1), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "D41PAY",
geo %in% c("FR", "DE", "IT", "ES", "NL", "EA19")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100,
Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
ggplot() + theme_minimal() + xlab("") + ylab("Deficit") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, 1),
labels = scales::percent_format(acc = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "D41PAY",
geo %in% c("FR", "DE", "IT", "ES", "NL", "EA19")) |>
year_to_date() |>
mutate(values = values / 100,
Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2005-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Interest payments (% of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, 1),
labels = scales::percent_format(acc = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(2005, 2100, 2), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "D41PAY",
geo %in% c("FR", "EA19")) |>
year_to_date() |>
mutate(values = values / 100,
Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2005-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Interest payments (% of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, .1),
labels = scales::percent_format(acc = .1)) +
scale_x_date(breaks = as.Date(paste0(seq(2005, 2100, 2), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "D41PAY",
geo %in% c("FR", "EA19", "EL", "PT")) |>
year_to_date() |>
mutate(values = values / 100,
Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2005-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Interest payments (% of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, .5),
labels = scales::percent_format(acc = .1)) +
scale_x_date(breaks = as.Date(paste0(seq(2005, 2100, 2), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "GD",
geo %in% c("IT", "PT", "ES", "EL", "BE", "FR")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
ggplot() + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "B9",
geo %in% c("IT", "PT", "ES", "EL", "BE", "FR")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values / 100) |>
ggplot() + theme_minimal() + xlab("") + ylab("Deficit") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-10, 260, 1),
labels = scales::percent_format(acc = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "GD",
geo %in% c("IT", "PT", "ES", "EL", "BE", "FR", "EA19")) |>
year_to_date() |>
mutate(values = values / 100,
Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2015-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Public debt (years of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::dollar_format(acc = .1, pre = "", su = " y")) +
scale_x_date(breaks = as.Date(paste0(seq(2015, 2100, 1), "-01-01")),
labels = date_format("%Y"))
gov_10dd_edpt1 |>
filter(sector == "S13",
unit == "PC_GDP",
na_item == "GD",
geo %in% c("IT", "PT", "ES", "EL", "BE", "FR", "EA19")) |>
year_to_date() |>
mutate(values = values / 100,
Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2015-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Public debt (% of GDP)") +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format()) +
scale_x_date(breaks = as.Date(paste0(seq(2015, 2100, 1), "-01-01")),
labels = date_format("%Y"))