Employed persons by sex, age group, educational attainment level, occupation (ISCO-88) and NUTS 3 regions - cens_01reisco

Data - Eurostat

Author

isco88

Code

cens_01reisco %>%
  left_join(isco88, by = "isco88") %>%
  group_by(isco88, Isco88) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

isco88	Isco88	Nobs
TOTAL	Total	46028
ISCO9	Elementary occupations	45683
ISCO5	Service workers and shop and market sales workers	45555
ISCO7	Craft and related trades workers	45511
ISCO8	Plant and machine operators and assemblers	45086
ISCO6	Skilled agricultural and fishery workers	44587
ISCO1	Legislators, senior officials and managers	44403
ISCO4	Clerks	43832
ISCO3	Technicians and associate professionals	43795
ISCO2	Professionals	40913
ISCO0	Armed forces	39378
UNK	Unknown	8270

isced97

Code

cens_01reisco %>%
  left_join(isced97, by = "isced97") %>%
  group_by(isced97, Isced97) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

isced97	Isced97	Nobs
ED_NED	Total of all level ISCED97 and no education	80931
ED3	Upper secondary education (level 3)	77484
ED5_6	First and second stage of tertiary education (levels 5 and 6)	76499
ED2	Lower secondary or second stage of basic education (level 2)	69493
ED0_1	Pre-primary and primary education (levels 0 and 1)	68561
NED	No education	50273
UNK	Unknown	38055
ED4	Post-secondary non-tertiary education (level 4)	31745

age

Code

cens_01reisco %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

age	Age	Nobs
TOTAL	Total	166224
Y_GE35	35 years or over	163809
Y_LT35	Less than 35 years	163008

sex

Code

cens_01reisco %>%
  left_join(sex, by = "sex") %>%
  group_by(sex, Sex) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

sex	Sex	Nobs
M	Males	166270
T	Total	165314
F	Females	161457

unit

Code

cens_01reisco %>%
  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	493041

geo

Code

cens_01reisco %>%
  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_01reisco %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

time	Nobs
2001	493041