Last observation: 2025 (N = 2475)
First observation: 1960 (N = 1193)
Last data update: 15 aoû 2026, 22:42. Last compile: 17 aoû 2026, 23:58
Data - Eurostat
Last observation: 2025 (N = 2475)
First observation: 1960 (N = 1193)
Last data update: 15 aoû 2026, 22:42. Last compile: 17 aoû 2026, 23:58
demo_pjanind |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EL"),
indic_de == "MEDAGEPOP") |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
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(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Median age of population (years)")
demo_pjanind |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EL"),
indic_de == "OLDDEP1") |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100) |>
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(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Old-age dependency ratio (65+ / 15-64)") +
scale_y_continuous(labels = scales::percent_format(accuracy = 1))
demo_pjanind |>
filter(time == "2023",
indic_de %in% c("YOUNGDEP1", "OLDDEP1", "DEPRATIO1")) |>
spread(indic_de, values) |>
arrange(-DEPRATIO1) %>%
select_if(~ n_distinct(.) > 1) |>
select(geo, Geo, everything()) |>
print_table_conditional()