Unemployment by sex and age – quarterly data
Data - Eurostat
Info
LAST_DOWNLOAD
Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/une_rt_q.RData")$mtime)) %>%
print_table_conditional()
LAST_DOWNLOAD |
---|
2024-10-08 |
LAST_COMPILE
LAST_COMPILE |
---|
2024-11-22 |
Last
Code
%>%
une_rt_q group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2024Q2 | 6237 |
sex
Code
%>%
une_rt_q left_join(sex, by = "sex") %>%
group_by(sex, Sex) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
sex | Sex | Nobs |
---|---|---|
T | Total | 141408 |
M | Males | 141405 |
F | Females | 141390 |
age
Code
%>%
une_rt_q left_join(age, by = "age") %>%
group_by(age, Age) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
age | Age | Nobs |
---|---|---|
Y15-24 | From 15 to 24 years | 60747 |
Y15-74 | From 15 to 74 years | 60747 |
Y20-64 | From 20 to 64 years | 60747 |
Y25-54 | From 25 to 54 years | 60747 |
Y25-74 | From 25 to 74 years | 60747 |
Y55-74 | From 55 to 74 years | 60510 |
Y15-29 | From 15 to 29 years | 59958 |
geo
Code
%>%
une_rt_q left_join(geo, by = "geo") %>%
group_by(geo, Geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .} {
unit
Code
%>%
une_rt_q left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
unit | Unit | Nobs |
---|---|---|
PC_ACT | Percentage of population in the labour force | 141605 |
THS_PER | Thousand persons | 141605 |
PC_POP | Percentage of total population | 140993 |
time
Code
%>%
une_rt_q group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
print_table_conditional()
France, Germany, Portugal
All
Code
%>%
une_rt_q filter(geo %in% c("FR", "DE", "PT"),
== "Y25-54",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot theme_minimal() + scale_color_identity() + add_3flags +
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, 1),
labels = scales::percent_format(accuracy = 1))
2009-
Code
%>%
une_rt_q filter(geo %in% c("FR", "DE", "PT"),
== "Y25-54",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
filter(date >= as.Date("2009-01-01")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot theme_minimal() + scale_color_identity() + add_3flags +
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, 1),
labels = scales::percent_format(accuracy = 1))
France, Germany, Spain, Netherlands, Italy
All
Code
%>%
une_rt_q filter(geo %in% c("FR", "DE", "IT", "NL", "ES"),
== "Y25-54",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
mutate(color = ifelse(geo == "NL", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot theme_minimal() + scale_color_identity() + add_5flags +
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, 1),
labels = scales::percent_format(accuracy = 1))
2009-
Code
%>%
une_rt_q filter(geo %in% c("FR", "DE", "IT", "NL", "ES"),
== "Y25-54",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date filter(date >= as.Date("2009-01-01")) %>%
left_join(geo, by = "geo") %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
mutate(color = ifelse(geo == "NL", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot theme_minimal() + scale_color_identity() + add_5flags +
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, 1),
labels = scales::percent_format(accuracy = 1))
Europe, France, Germany
All
Code
%>%
une_rt_q filter(geo %in% c("EA19", "FR", "DE"),
== "Y25-54",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
mutate(color = ifelse(geo == "FR", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot theme_minimal() + scale_color_identity() + add_3flags +
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, 1),
labels = scales::percent_format(accuracy = 1))
2009
Code
%>%
une_rt_q filter(geo %in% c("EA19", "FR", "DE"),
== "Y25-54",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date filter(date >= as.Date("2009-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
mutate(color = ifelse(geo == "FR", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot theme_minimal() + scale_color_identity() + add_3flags +
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, 1),
labels = scales::percent_format(accuracy = 1))
Euro Area
Code
%>%
une_rt_q filter(geo %in% c("EA20"),
== "Y20-64",
age == "T",
sex == "PC_ACT",
unit == "SA") %>%
s_adj %>%
quarter_to_date filter(date >= as.Date("1999-01-01")) %>%
left_join(geo, by = "geo") %>%
+ geom_line() + theme_minimal() +
ggplot aes(x = date, y = values/100) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.25),
legend.title = element_blank()) +
xlab("") + ylab("Chômage (en % de la population active)") +
scale_y_continuous(breaks = 0.01*seq(0, 200, 1),
labels = scales::percent_format(accuracy = 1))