Youth employment rate by sex, age and NUTS 2 regions - yth_empl_030

Data - Eurostat

Author

sex

Code

yth_empl_030 %>%
  left_join(sex, by = "sex") %>%
  group_by(sex, Sex) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

sex	Sex	Nobs
F	Females	70110
M	Males	70110
T	Total	70110

age

Code

yth_empl_030 %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

age	Age	Nobs
Y15-19	From 15 to 19 years	35055
Y15-24	From 15 to 24 years	35055
Y15-29	From 15 to 29 years	35055
Y20-24	From 20 to 24 years	35055
Y20-29	From 20 to 29 years	35055
Y25-29	From 25 to 29 years	35055

unit

Code

yth_empl_030 %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
PC	Percentage	210330

geo

Code

yth_empl_030 %>%
  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

yth_empl_030 %>%
  filter(time == "2015", 
         nchar(geo) == 4,
         sex == "T",
         age == "Y15-29") %>%
  left_join(geo, by = "geo") %>%
  select(geo, Geo, unemployment = values) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Youth Employment - NUTS2

Code

yth_empl_030 %>%
  filter(time == "2015", 
         nchar(geo) == 4,
         sex == "T",
         age == "Y15-29") %>%
  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, 100, 10),
                       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 = "Youth Employment (%)")