Infra-annual labour statistics

Data - OECD

Author

François Geerolf

Info

source dataset .html .RData
oecd IALFS_INDIC 2024-11-12 2024-06-18

Données sur l’emploi

Title source dataset .html .RData
Chômage, taux de chômage par sexe et âge (sens BIT) (1975-) insee CHOMAGE-TRIM-NATIONAL 2024-11-09 2024-11-09
Emploi intérieur, durée effective travaillée et productivité horaire insee CNA-2014-EMPLOI 2024-06-07 2024-11-09
Demandeurs d'emploi inscrits à Pôle Emploi insee DEMANDES-EMPLOIS-NATIONALES 2024-11-09 2024-11-09
Emploi, activité, sous-emploi par secteur d’activité (sens BIT) insee EMPLOI-BIT-TRIM 2024-06-07 2024-11-09
Estimations d'emploi salarié par secteur d'activité insee EMPLOI-SALARIE-TRIM-NATIONAL 2024-11-09 2024-11-09
Taux de chômage localisé insee TAUX-CHOMAGE 2024-11-09 2024-11-09
Estimations d'emploi salarié par secteur d'activité et par département insee TCRED-EMPLOI-SALARIE-TRIM 2024-11-09 2024-11-09

REF_AREA

Code 
IALFS_INDIC %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

AGE

Code 
IALFS_INDIC %>%
  left_join(AGE, by = "AGE") %>%
  group_by(AGE, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
AGE Age Nobs
Y_GE15 15 years or over 968436
Y15T24 From 15 to 24 years 784517
Y15T64 From 15 to 64 years 513261
Y25T54 From 25 to 54 years 504972
Y55T64 From 55 to 64 years 497326
Y15T74 From 15 to 74 years 332220
_T Total 132575
Y_GE25 25 years or over 130596

MEASURE

Code 
IALFS_INDIC %>%
  left_join(MEASURE, by = "MEASURE") %>%
  group_by(MEASURE, Measure) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
MEASURE Measure Nobs
EMP Employment 655630
UNE_LF_M Monthly unemployment rate 404707
LF Labour force 389694
UNE Unemployment 318990
UNE_LF Unemployment rate 312601
EMP_WAP Employment rate 306327
WAP Working-age population 301351
LF_WAP Labour force participation rate 299832
OLF Persons outside the labour force 290289
OLF_WAP Inactivity rate 285493
UNE_M Monthly unemployment 275837
EES Employees 22828
UNE_LT Long-term unemployment 162
UNE_ST Short-term unemployment 162

ADJUSTMENT

Code 
IALFS_INDIC %>%
  left_join(ADJUSTMENT, by = "ADJUSTMENT") %>%
  group_by(ADJUSTMENT, Adjustment) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
ADJUSTMENT Adjustment Nobs
N Neither seasonally adjusted nor calendar adjusted 1963142
Y Calendar and seasonally adjusted 1900761

FREQ

Code 
IALFS_INDIC %>%
  left_join(FREQ, by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
FREQ Freq Nobs
Q Quarterly 1796052
M Monthly 1600238
A Annual 467613

Employment rate

France, Netherlands, Germany, Eurozone

Code 
IALFS_INDIC %>%
  filter(MEASURE == "EMP_WAP",
         REF_AREA %in% c("FRA", "NLD", "DEU", "EA20"),
         AGE == "Y15T64",
         FREQ == "A",
         SEX == "_T",
         ADJUSTMENT == "N") %>%
  year_to_date() %>%
  arrange(desc(date)) %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  mutate(Ref_area = ifelse(REF_AREA == "EA20", "Europe", Ref_area)) %>%
  group_by(Ref_area) %>%
  arrange(date) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  ggplot + geom_line(aes(x = date, y = obsValue, color = color)) +
  scale_color_identity() + add_4flags + theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = "none")