Dispersion of regional unemployment rates by NUTS 3 regions (%) - lfst_r_lmdur

Data - Eurostat

Author

statinfo

Code

lfst_r_lmdur %>%
  left_join(statinfo, by = "statinfo") %>%
  group_by(statinfo, Statinfo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

statinfo	Statinfo	Nobs
DISP_NUTS2	Dispersion at NUTS level 2	5302
DISP_NUTS3	Dispersion at NUTS level 3	3187

sex

Code

lfst_r_lmdur %>%
  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	2839
M	Males	2826
F	Females	2824

age

Code

lfst_r_lmdur %>%
  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	4842
Y15-74	From 15 to 74 years	3647

unit

Code

lfst_r_lmdur %>%
  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	8489

geo

Code

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