Unemployment rates by sex, age and NUTS 2 regions (%) - lfst_r_lfu3rt

Data - Eurostat

sex

Code
lfst_r_lfu3rt %>%
  left_join(sex, by = "sex") %>%
  group_by(sex, Sex) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
sex Sex Nobs
T Total 517924
M Males 514770
F Females 514710

age

Code
lfst_r_lfu3rt %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
age Age Nobs
Y_GE15 15 years or over 183530
Y_GE25 25 years or over 180853
Y15-74 From 15 to 74 years 151089
Y15-29 From 15 to 29 years 149977
Y15-24 From 15 to 24 years 149384
Y20-64 From 20 to 64 years 148464
Y45-54 From 45 to 54 years 146287
Y25-34 From 25 to 34 years 146212
Y35-44 From 35 to 44 years 146062
Y55-64 From 55 to 64 years 145546

geo

Code
lfst_r_lfu3rt %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Unemployment Rate

Code
lfst_r_lfu3rt %>%
  filter(time == "2015", 
         nchar(geo) == 4,
         sex == "T",
         age == "Y20-64") %>%
  left_join(geo, by = "geo") %>%
  select(geo, Geo, unemployment = values) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Unemployment - NUTS2

Code
lfst_r_lfu3rt %>%
  filter(time == "2015", 
         nchar(geo) == 4,
         sex == "T",
         age == "Y20-64") %>%
  right_join(europe_NUTS2, by = "geo") %>%
  filter(long >= -15, lat >= 33) %>%
  ggplot(., aes(x = long, y = lat, group = group, fill = values/100)) +
  geom_polygon() + coord_map() +
  scale_fill_viridis_c(na.value = "white",
                       labels = scales::percent_format(accuracy = 1),
                       direction = -1,
                       breaks = 0.01*seq(0, 50, 5),
                       values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
  theme_void() + theme(legend.position = c(0.25, 0.85)) + 
  labs(fill = "Unemployment (%)")