TCRED - Taux de chômage localisés par sexe et âge, en moyenne annuelle - TCRED-TRAVAIL-EMPLOI-TCHOMA-SA

Data - INSEE

Author

François Geerolf

Info

LAST_UPDATE

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  group_by(LAST_UPDATE) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
LAST_UPDATE Nobs
2025-06-04 21198
2016-08-30 12

LAST_DOWNLOAD

LAST_DOWNLOAD
2025-10-11

LAST_COMPILE

LAST_COMPILE
2025-10-11

TITLE_FR

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  group_by(IDBANK, TITLE_FR) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

REF_AREA

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  group_by(REF_AREA) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

AGE

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  left_join(AGE, by = "AGE") %>%
  group_by(AGE, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
AGE Age Nobs
00- Ensemble 11382
15-24 De 15 à 24 ans 3276
25-49 De 25 à 49 ans 3276
50- 50 ans et plus 3276

SEXE

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  left_join(SEXE, by = "SEXE") %>%
  group_by(SEXE, Sexe) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
SEXE Sexe Nobs
0 Ensemble 14658
1 Hommes 3276
2 Femmes 3276

INDICATEUR

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  left_join(INDICATEUR, by = "INDICATEUR") %>%
  group_by(INDICATEUR, Indicateur) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
INDICATEUR Indicateur Nobs
TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE Taux de chômage localisés (moyenne annuelle) 20680
TAUX_CHOMAGE_BIT_MOYENNE_ANNUELLE Taux de chômage au sens du BIT (moyenne annuelle) 530

TIME_PERIOD / date

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  print_table_conditional()

Département

Hauts-de-Seine

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  filter(INDICATEUR %in% c("TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE"),
         REF_AREA %in% c("D92"),
         SEXE == "0") %>%
  year_to_date %>%
  left_join(AGE, by = "AGE") %>%
  ggplot + geom_line(aes(x = date, y = OBS_VALUE/100, color = Age)) +
  xlab("") + ylab("") +  theme_minimal() +
  scale_x_date(breaks = seq(1960, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 120, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Paris

Code 
`TCRED-TRAVAIL-EMPLOI-TCHOMA-SA` %>%
  filter(INDICATEUR %in% c("TAUX_CHOMAGE_LOCALISE_MOYENNE_ANNUELLE"),
         REF_AREA %in% c("D75"),
         SEXE == "0") %>%
  year_to_date %>%
  left_join(AGE, by = "AGE") %>%
  ggplot + geom_line(aes(x = date, y = OBS_VALUE/100, color = Age)) +
  xlab("") + ylab("") +  theme_minimal() +
  scale_x_date(breaks = seq(1960, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 120, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())