Total and active population by sex, age, employment status, residence one year prior to the census and NUTS 3 regions - cens_01rapop

Data - Eurostat

Author

wstatus

Code

cens_01rapop %>%
  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	61909
ACT	Persons in the labour force (former name: active persons)	60011
EMP	Employed persons	60008
UNE	Unemployed persons	57545
INAC	Persons outside the labour force (former name: inactive persons)	41575
SAL	Employees	39807
INAC_OTH	Other persons outside the labour force (former name: inactive persons)	38582
SELF_S	Self-employed persons with employees (employers)	38105
EMP_OTH	Other employed persons	38098
INC	Retired persons and capital income recipients	37186
EDUC	Students	34811
CFAM	Contributing family workers	30374
NAP	Not applicable	14988
ACT_UNK	Persons in the labour force (former name: active population) - unknown	4628
INAC_UNK	Persons outside the labour force (former name: inactive persons) - unknown	596

age

Code

cens_01rapop %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

sex

Code

cens_01rapop %>%
  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	186910
F	Females	186021
M	Males	185292

unit

Code

cens_01rapop %>%
  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	558223

geo

Code

cens_01rapop %>%
  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_01rapop %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

time	Nobs
2001	558223

2001 Unemployed

Code

cens_01rapop %>%
  filter(nchar(geo) == 5,
         wstatus %in% c("ACT", "UNE"),
         age == "TOTAL",
         sex == "T") %>%
  select(geo, wstatus, values) %>%
  spread(wstatus, values) %>%
  left_join(geo, by = "geo") %>%
  right_join(europe_NUTS3, by = "geo") %>%
  filter(long >= -15, lat >= 33) %>%
  ggplot(., aes(x = long, y = lat, group = group, fill = UNE/ACT)) +
  geom_polygon() + coord_map() +
  scale_fill_viridis_c(na.value = "white",
                       direction = -1,
                       labels = percent_format(accuracy = 1),
                       breaks = 0.01*seq(0, 90, 5),
                       values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
  theme_void() + theme(legend.position = c(0.25, 0.85)) + 
  labs(fill = "Manuf Share")