At-risk-of-poverty rate by poverty threshold, age and sex - EU-SILC and ECHP surveys - ilc_li02

Data - Eurostat

Author

François Geerolf

Info

Last observation: 2025 (N = 41664)

First observation: 1995 (N = 5950)

Last data update: 14 aoû 2026, 23:03. Last compile: 18 aoû 2026, 01:33

Structure

Eurostat - poverty (60%)

France, Germany, Sweden

Code

ilc_li02 |>
  filter(sex == "T", 
         age == "TOTAL", 
         geo %in% c("FR", "DE", "SE"), 
         unit == "PC", 
         rskpovth == "B_60") |>
  time_to_date() |>
  
  mutate(values = values/100) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal()  + add_flags + scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.78, 0.2),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(-7, 50, 1),
                     labels = percent_format(accuracy = 1)) +
  ylab("Poverty Rate") + xlab("")

Germany, Europe

Code

ilc_li02 |>
  filter(sex == "T", 
         age == "TOTAL", 
         geo %in% c("DE", "EA19"), 
         unit == "PC", 
         rskpovth == "B_60") |>
  time_to_date() |>
  
  mutate(values = values/100) |>
  mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal()  + add_flags + scale_color_identity() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.78, 0.2),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(-7, 50, 1),
                     labels = percent_format(accuracy = 1)) +
  ylab("Poverty Rate") + xlab("")

At risk of poverty rate (cut-off point: 40% of mean equivalised income)

France, Germany, Italy, Spain, Netherlannds

Code

ilc_li02 |>
  filter(sex == "T", 
         age == "TOTAL", 
         geo %in% c("FR", "DE", "IT", "ES", "NL"), 
         unit == "PC", 
         rskpovth == "B_40") |>
  time_to_date() |>
  
  mutate(values = values/100) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(geo == "NL", color2, color)) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal()  + add_flags +
  scale_color_identity() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(-7, 50, 1),
                     labels = percent_format(accuracy = 1))

France, Germany, Sweden

Code

ilc_li02 |>
  filter(sex == "T", 
         age == "TOTAL", 
         geo %in% c("FR", "DE", "SE"), 
         unit == "PC", 
         rskpovth == "B_40") |>
  time_to_date() |>
  
  mutate(values = values/100) |>
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal()  + add_flags +
  scale_color_identity() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(-7, 50, 1),
                     labels = percent_format(accuracy = 1))

France, Germany

Code

ilc_li02 |>
  filter(sex == "T", 
         age == "TOTAL", 
         geo %in% c("FR", "DE"), 
         unit == "PC", 
         rskpovth == "B_40") |>
  time_to_date() |>
  
  mutate(values = values/100) |>
  left_join(colors, by = c("Geo" = "country")) |>
  ggplot() + geom_line(aes(x = date, y = values, color = color)) +
  theme_minimal()  + add_flags +
  scale_color_identity() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(-7, 50, 1),
                     labels = percent_format(accuracy = 1))