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

Data - Eurostat

Author

François Geerolf

Info

Last observation: Annual: 2001 (N = 288,524)

First observation: Annual: 2001 (N = 288,524)

Last data update: 11 aoû 2026, 20:46. Last compile: 11 aoû 2026, 23:16

Structure

Living Alone, by Country (2001 Census)

Code

cens_01rhsize |>
  filter(sex == "T", age == "TOTAL", nchar(geo) <= 2, n_person != "UNK") |>
  mutate(Geo = ifelse(geo == "LU", "Luxembourg", Geo)) |>
  group_by(geo, Geo) |>
  mutate(total = sum(values, na.rm = TRUE)) |>
  ungroup() |>
  filter(n_person == "1") |>
  mutate(share = values / total) |>
  mutate(Geo = reorder(Geo, share)) |>
  ggplot() + geom_col(aes(x = Geo, y = share), fill = "steelblue") +
  coord_flip() +
  theme_minimal() +
  xlab("") + ylab("Share of population living in a 1-person household") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

Household Size Distribution: France, Italy, Spain, Poland

Code

cens_01rhsize |>
  filter(sex == "T", age == "TOTAL", geo %in% c("FR", "IT", "ES", "PL"),
         n_person != "UNK") |>
  group_by(geo) |>
  mutate(total = sum(values, na.rm = TRUE)) |>
  ungroup() |>
  mutate(share = values / total,
         N_person = factor(N_person, levels = c("1 person", "2 persons", "3 persons",
                                                  "4 persons", "5 persons", "6 persons or more"))) |>
  ggplot() + geom_col(aes(x = N_person, y = share, fill = Geo), position = "dodge") +
  theme_minimal() +
  theme(legend.title = element_blank()) +
  xlab("") + ylab("Share of population") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

Snapshot: Household Size Shares by Country

Code

cens_01rhsize |>
  filter(sex == "T", age == "TOTAL", nchar(geo) <= 2, n_person != "UNK",
         geo %in% c("FR", "IT", "ES", "PL", "NL", "FI")) |>
  mutate(Geo = ifelse(geo == "LU", "Luxembourg", Geo)) |>
  group_by(geo, Geo) |>
  mutate(total = sum(values, na.rm = TRUE)) |>
  ungroup() |>
  mutate(share = round(100 * values / total, 1)) |>
  select(Geo, N_person, share) |>
  spread(N_person, share) |>
  print_table_conditional()

Geo	1 person	2 persons	3 persons	4 persons	5 persons	6 persons or more
Finland	16.9	28.4	18.5	20.1	10.2	6.0
France	12.9	25.9	20.2	22.9	11.6	6.6
Italy	9.6	20.9	24.9	29.2	11.2	4.2
Netherlands	14.6	28.7	17.2	24.2	10.6	4.8
Poland	8.7	16.4	21.1	25.4	14.4	14.0
Spain	7.1	17.6	22.2	30.0	13.5	9.5