Employment rates of young people not in education and training by sex, educational attainment level, years since completion of highest level of education and NUTS 2 regions - edat_lfse_33

Data - Eurostat

Author

sex

Code

edat_lfse_33 %>%
  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	1289238
M	Males	1282927
F	Females	1280477

unit

Code

edat_lfse_33 %>%
  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	3852642

isced11

Code

edat_lfse_33 %>%
  left_join(isced11, by = "isced11") %>%
  group_by(isced11, Isced11) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

isced11	Isced11	Nobs
TOTAL	All ISCED 2011 levels	561782
ED3-8	Upper secondary, post-secondary non-tertiary and tertiary education (levels 3-8)	561629
ED0-4	Less than primary, primary, secondary and post-secondary non-tertiary education (levels 0-4)	561396
ED3_4	Upper secondary and post-secondary non-tertiary education (levels 3 and 4)	561044
ED5-8	Tertiary education (levels 5-8)	560622
ED0-2	Less than primary, primary and lower secondary education (levels 0-2)	538684
ED3_4VOC	Upper secondary and post-secondary non-tertiary education (levels 3 and 4) - vocational	248084
ED3_4GEN	Upper secondary and post-secondary non-tertiary education (levels 3 and 4) - general	244896
NRP	No response	14505

duration

Code

edat_lfse_33 %>%
  left_join(duration, by = "duration") %>%
  group_by(duration, Duration) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

duration	Duration	Nobs
TOTAL	Total	663410
Y_GT3	Over 3 years	643646
Y_GT5	Over 5 years	643359
Y_LE5	5 years or less	640230
Y_LE3	3 years or less	631598
Y1-3	From 1 to 3 years	630399

age

Code

edat_lfse_33 %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

age	Age	Nobs
Y15-34	From 15 to 34 years	1289365
Y18-34	From 18 to 34 years	1287294
Y20-34	From 20 to 34 years	1275983

geo

Code

edat_lfse_33 %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

time

Code

edat_lfse_33 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Education Foreign: levels 0-2

Code

edat_lfse_33 %>%
  filter(unit == "PC",
         sex == "T",
         isced11 == "ED0-2",
         duration == "TOTAL",
         age == "Y15-34",
         nchar(geo) == 4,
         time == "2018") %>%
  right_join(europe_NUTS2, by = "geo") %>%
  filter(long >= -13.5, 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),
                       breaks = 0.01*seq(20, 100, 10),
                       values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Employment \nPrimary Education (%)")

Upper secondary and post-secondary non-tertiary education (levels 3 and 4)

Education Foreign: levels 3-4

Code

edat_lfse_33 %>%
  filter(unit == "PC",
         sex == "T",
         isced11 == "ED3_4",
         duration == "TOTAL",
         age == "Y15-34",
         nchar(geo) == 4,
         time == "2018") %>%
  right_join(europe_NUTS2, by = "geo") %>%
  filter(long >= -13.5, 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),
                       breaks = 0.01*seq(20, 100, 10),
                       values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Employment \nSecondary Education (%)")

Education Foreign: levels 5-8

Code

edat_lfse_33 %>%
  filter(unit == "PC",
         sex == "T",
         isced11 == "ED5-8",
         duration == "TOTAL",
         age == "Y15-34",
         nchar(geo) == 4,
         time == "2018") %>%
  right_join(europe_NUTS2, by = "geo") %>%
  filter(long >= -13.5, 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),
                       breaks = 0.01*seq(20, 100, 10),
                       values = c(0, 0.1, 0.3, 0.4, 0.5, 0.6, 1)) +
  theme_void() + theme(legend.position = c(0.15, 0.85)) +
  labs(fill = "Employment \nTertiary Education (%)")