Population by status in employment, occupation and NUTS 2 region - cens_11empo_r2

Data - Eurostat

Info

Last observation: 2011 (N = 3636204)

First observation: 2011 (N = 3636204)

Last data update: 14 aoû 2026, 22:59. Last compile: 17 aoû 2026, 23:52

Structure

freq

age

sex

wstatus

isco08

unit

geo

2011 Population Census: Employment Status

Self-Employment Rate by Country

cens_11empo_r2 |>
  filter(nchar(geo) == 2,
         age == "TOTAL",
         sex == "T",
         isco08 == "TOTAL",
         wstatus %in% c("EMP", "SELF_S", "SELF_NS")) |>
  select(geo, Geo, wstatus, values) |>
  spread(wstatus, values) |>
  mutate(rate = (SELF_S + SELF_NS) / EMP) |>
  filter(!is.na(rate)) |>
  left_join(colors, by = c("Geo" = "country")) |>
  mutate(color = ifelse(is.na(color), "grey50", color)) |>
  ggplot() + geom_col(aes(x = reorder(Geo, rate), y = rate, fill = color)) +
  scale_fill_identity() +
  coord_flip() +
  theme_minimal() +
  xlab("") + ylab("Self-employed share of employed population, 2011") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

Occupational Structure: France vs. Germany

cens_11empo_r2 |>
  filter(geo %in% c("FR", "DE"),
         age == "TOTAL",
         sex == "T",
         wstatus == "EMP",
         !isco08 %in% c("NAP", "TOTAL", "UNK")) |>
  group_by(geo) |>
  mutate(share = values / sum(values)) |>
  ungroup() |>
  ggplot() + geom_col(aes(x = reorder(Isco08, share), y = share, fill = Geo),
                     position = "dodge") +
  coord_flip() +
  theme_minimal() +
  theme(legend.position = c(0.85, 0.12),
        legend.title = element_blank()) +
  xlab("") + ylab("Share of employed persons, 2011") +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

Employment Status Shares, 2011 Snapshot

countries <- c("FR", "DE", "IT", "ES", "PL", "NL", "BE", "SE")

emp_tot <- cens_11empo_r2 |>
  filter(geo %in% countries,
         age == "TOTAL", sex == "T", isco08 == "TOTAL", wstatus == "EMP") |>
  select(geo, EMP = values)

cens_11empo_r2 |>
  filter(geo %in% countries,
         age == "TOTAL", sex == "T", isco08 == "TOTAL",
         wstatus %in% c("SAL", "SELF_S", "SELF_NS", "CFAM_COOP")) |>
  left_join(emp_tot, by = "geo") |>
  mutate(share = round(100 * values / EMP, 1)) |>
  select(Geo, Wstatus, share) |>
  spread(Wstatus, share) |>
  print_table_conditional()

Geo	Contributing family workers and members of producers' cooperatives	Employees	Self-employed persons with employees (employers)	Self-employed persons without employees (own-account workers)
Belgium	0.7	36.9	1.8	4.0
France	0.1	39.0	2.1	2.6
Germany	0.5	46.4	2.5	3.3
Italy	1.0	32.8	3.5	4.6
Netherlands	0.0	43.3	3.8	2.0
Poland	1.1	33.9	1.6	6.5
Spain	0.8	43.1	3.0	4.1
Sweden	0.0	46.0	0.4	2.9