Causes of death - crude death rate by NUTS 2 regions of residence, 3 year average - hlth_cd_ycdr2

Data - Eurostat

Author

François Geerolf

Info

Last observation: 2023 (N = 3650596)

First observation: 2013 (N = 3658388)

Last data update: 02 août 2026, 08:00. Last compile: 01 sept. 2026, 01:23

Structure

France - 2015

Code

hlth_cd_ycdr2 |>
  filter(time == "2015",
         age == "TOTAL",
         sex == "T",
         geo == "FR") |>
  left_join(icd10, by = "icd10") |>
  select(icd10, Icd10, values) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Suicide Rate

Code

hlth_cd_ycdr2 |>
  filter(time == "2015",
         age == "TOTAL",
         sex == "T",
         icd10 %in% c("X60-X84_Y870", "A-R_V-Y")) |>
  left_join(geo, by = "geo") |>
  select(geo, Geo, icd10, values) |>
  spread(icd10, values) |>
  mutate(`%` = round(100*`X60-X84_Y870`/`A-R_V-Y`, 2)) |>
  arrange(-`%`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

NUTS 2 - Suicide

2015

Code

hlth_cd_ycdr2 |>
  filter(time == "2015",
         age == "TOTAL",
         sex == "T",
         icd10 %in% c("X60-X84_Y870", "A-R_V-Y")) |>
  left_join(geo, by = "geo") |>
  select(geo, Geo, icd10, values) |>
  spread(icd10, values) |>
  right_join(europe_NUTS2, by = "geo") |>
  filter(long >= -13.5, lat >= 33) |>
  ggplot(aes(x = long, y = lat, group = group, fill = `X60-X84_Y870`/`A-R_V-Y`)) +
  geom_polygon() + coord_map() +
  scale_fill_viridis_c(na.value = "white",
                       labels = scales::percent_format(accuracy = .1),
                       breaks = 0.01*seq(0, 100, 0.5),
                       values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Employment \nPrimary Education (%)")

2013

Code

hlth_cd_ycdr2 |>
  filter(time == "2013",
         age == "TOTAL",
         sex == "T",
         icd10 %in% c("X60-X84_Y870", "A-R_V-Y")) |>
  left_join(geo, by = "geo") |>
  select(geo, Geo, icd10, values) |>
  spread(icd10, values) |>
  right_join(europe_NUTS2, by = "geo") |>
  filter(long >= -13.5, lat >= 33) |>
  ggplot(aes(x = long, y = lat, group = group, fill = `X60-X84_Y870`/`A-R_V-Y`)) +
  geom_polygon() + coord_map() +
  scale_fill_viridis_c(na.value = "white",
                       labels = scales::percent_format(accuracy = .1),
                       breaks = 0.01*seq(0, 100, 0.5),
                       values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Employment \nPrimary Education (%)")