Population by sex, age, citizenship, labour status and NUTS 2 regions - lfst_r_lfsd2pwn

Data - Eurostat

Author

citizen

Code

lfst_r_lfsd2pwn %>%
  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	1049114
NAT	Reporting country	941422
FOR	Foreign country	898496
NEU27_2020_FOR	Non-EU27 countries (from 2020) nor reporting country	878691
EU27_2020_FOR	EU27 countries (from 2020) except reporting country	824833
NRP	No response	287672
STLS	Stateless	198787

wstatus

Code

lfst_r_lfsd2pwn %>%
  left_join(wstatus, by = "wstatus") %>%
  group_by(wstatus, Wstatus) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

wstatus	Wstatus	Nobs
POP	Population	1068702
ACT	Persons in the labour force (former name: active persons)	1036786
EMP	Employed persons	1026209
INAC	Persons outside the labour force (former name: inactive persons)	1023005
UNE	Unemployed persons	924043
UNK	Unknown	270

unit

Code

lfst_r_lfsd2pwn %>%
  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	5079015

sex

Code

lfst_r_lfsd2pwn %>%
  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	1734789
M	Males	1672714
F	Females	1671512

age

Code

lfst_r_lfsd2pwn %>%
  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	870132
Y15-74	From 15 to 74 years	868675
Y15-64	From 15 to 64 years	865964
Y20-64	From 20 to 64 years	863163
Y25-54	From 25 to 54 years	848802
Y15-24	From 15 to 24 years	762279

geo

Code

lfst_r_lfsd2pwn %>%
  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_lfsd2pwn %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}