Population by sex, age group, size of household and NUTS 3 regions - cens_01rhsize

Data - Eurostat

Author

n_person

Code

cens_01rhsize %>%
  left_join(n_person, by = "n_person") %>%
  group_by(n_person, N_person) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

n_person	N_person	Nobs
2	2 persons	48161
3	3 persons	48143
4	4 persons	48119
5	5 persons	48094
GE6	6 persons or more	48044
1	1 person	45503
UNK	Unknown	2460

sex

Code

cens_01rhsize %>%
  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	96567
F	Females	95984
M	Males	95973

age

Code

cens_01rhsize %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

unit

Code

cens_01rhsize %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
PER	Person	288524

geo

Code

cens_01rhsize %>%
  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

cens_01rhsize %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

time	Nobs
2001	288524