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

Data - Eurostat

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 5086
DISP_NUTS3 Dispersion at NUTS level 3 3013

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 2709
M Males 2696
F Females 2694

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 4647
Y15-74 From 15 to 74 years 3452

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 8099

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 .}