Unemployment by sex, age, citizenship and NUTS 2 regions - lfst_r_lfu2gan

Data - Eurostat

unit

Code
lfst_r_lfu2gan %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
unit Unit Nobs
THS_PER Thousand persons 852024

citizen

Code
lfst_r_lfu2gan %>%
  left_join(citizen, by = "citizen") %>%
  group_by(citizen, Citizen) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
citizen Citizen Nobs
TOTAL Total 168405
NAT Reporting country 151061
FOR Foreign country 148703
NEU27_2020_FOR Non-EU27 countries (from 2020) nor reporting country 146296
EU27_2020_FOR EU27 countries (from 2020) except reporting country 142540
NRP No response 52895
STLS Stateless 42124

age

Code
lfst_r_lfu2gan %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
age Age Nobs
Y15-74 From 15 to 74 years 175003
Y15-64 From 15 to 64 years 174425
Y20-64 From 20 to 64 years 174020
Y25-54 From 25 to 54 years 171833
Y55-64 From 55 to 64 years 156743

sex

Code
lfst_r_lfu2gan %>%
  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 289250
M Males 281926
F Females 280848

geo

Code
lfst_r_lfu2gan %>%
  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
lfst_r_lfu2gan %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}