Unemployment by sex and age – monthly data
Data - Eurostat
Info
Last observation: Monthly: 2026M07 (N = 54)
First observation: Monthly: 1983M01 (N = 493)
Last data update: 14 aoû 2026, 19:20. Last compile: 15 aoû 2026, 03:55
Structure
Young
France, Germany, Spain, Italy, Eurozone
All
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EA21"),
age == "Y_LT25",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
France, Germany, Netherlands, Sweden
All
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "NL", "SE", "EA21"),
age == "Y_LT25",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
All age, All sex
France, Germany, Spain, Italy, Netherlands, Portugal, EA
All
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL", "PT", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
2002-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL", "PT", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2002-01-01")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))+
scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values)))
2002-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "NL", "PT", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2002-01-01")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))+
scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_label_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values, acc = .1), color = color))
2007-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "NL", "PT", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2007-01-01")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))+
scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Taux de chômage (% de la population active)") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1),
limits = c(0, 0.19)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values, acc = .1), color = color))
France, Germany, Spain, Italy, Eurozone
All
All age
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
Youth
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EA21"),
age == "Y_LT25",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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("Younth Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 5),
labels = scales::percent_format(accuracy = 1))
2010-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
filter(date >= as.Date("2010-01-01")) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
Youth
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EA21"),
age == "Y_LT25",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
left_join(colors, by = c("Geo" = "country")) |>
filter(date >= as.Date("2010-01-01")) |>
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, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Younth Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 5),
labels = scales::percent_format(accuracy = 1))
2014-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "EA21"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
filter(date >= as.Date("2014-01-01")) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
France, Germany, Spain, Italy, Netherlands, Portugal
All
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL", "PT"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_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("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
1998-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL", "PT"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100) |>
filter(date >= as.Date("1998-01-01")) |>
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(1990, 2100, 4), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
2014-
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "IT", "ES", "NL", "PT"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
mutate(values = values/100) |>
filter(date >= as.Date("2014-01-01")) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 2),
labels = scales::percent_format(accuracy = 1))
France, Germany, Portugal
Code
une_rt_m |>
filter(geo %in% c("FR", "DE", "PT"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_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("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
Germany, Euro Area
Code
une_rt_m |>
filter(geo %in% c("EA21", "EU15", "DE"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values, color = color) +
scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.25),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
Spain, France
1998-
Code
une_rt_m |>
filter(geo %in% c("ES", "FR"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("1998-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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(1998, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none") +
xlab("") + ylab("Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_label(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
2010-
Code
une_rt_m |>
filter(geo %in% c("ES", "FR"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("2010-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none",
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, .5),
labels = scales::percent_format(accuracy = .1)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
2017-
Code
une_rt_m |>
filter(geo %in% c("ES", "FR"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("2017-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none",
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
xlab("") + ylab("Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = .1)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
Euro Area, France
All
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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")) +
theme(legend.position = "none") +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
1998-
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("1998-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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(1998, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none") +
xlab("") + ylab("Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_label(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
2010-
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("2010-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none",
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, .5),
labels = scales::percent_format(accuracy = .1)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
Euro Area, France, Spain
All
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR", "ES"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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")) +
theme(legend.position = "none") +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
1998-
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR", "ES"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("1998-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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(1998, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none") +
xlab("") + ylab("Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_label(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
2010-
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR","ES"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("2010-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none",
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, .5),
labels = scales::percent_format(accuracy = .1)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
2017-
Code
une_rt_m |>
filter(geo %in% c("EA21", "FR","ES"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("2017-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none",
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
xlab("") + ylab("Unemployment, % of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, .5),
labels = scales::percent_format(accuracy = .1)) +
geom_text_repel(data = . %>%
filter(date == max(date)), aes(x = date, y = values, label = percent(values), color = color))
Euro Area, Bulgaria
All
Code
une_rt_m |>
filter(geo %in% c("EA21", "BG"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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")) +
theme(legend.position = "none") +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
2010-
Code
une_rt_m |>
filter(geo %in% c("EA21", "BG"),
age == "TOTAL",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
filter(date >= as.Date("2010-01-01")) |>
mutate(values = values/100,
Geo = ifelse(geo == "EA21", "Europe", Geo)) |>
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, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = "none",
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
xlab("") + ylab("Unemployment, Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
By age
Euro Area
Code
une_rt_m |>
filter(geo %in% c("EA21"),
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Age) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
France
Code
une_rt_m |>
filter(geo == "FR",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Age) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
Germany
Code
une_rt_m |>
filter(geo == "DE",
sex == "T",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Age) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
By sex
Euro Area
Code
une_rt_m |>
filter(geo %in% c("EA21"),
age == "TOTAL",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Sex) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
France
Code
une_rt_m |>
filter(geo == "FR",
age == "TOTAL",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Sex) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
Germany
Code
une_rt_m |>
filter(geo == "DE",
age == "TOTAL",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Sex) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.8, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
Italy
Code
une_rt_m |>
filter(geo == "IT",
age == "TOTAL",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Sex) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))
Greece
Code
une_rt_m |>
filter(geo == "EL",
age == "TOTAL",
unit == "PC_ACT",
s_adj == "SA") |>
month_to_date() |>
ggplot() + geom_line() + theme_minimal() +
aes(x = date, y = values/100, color = Sex) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank()) +
xlab("") + ylab("Percentage of active population") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))