Estimations de taux de chômage localisé - comparaisons départementales (1982-2020) - sl_etc_2020T2

Data - INSEE

Author

François Geerolf

Info

Couverture temporelle

En trimestriel : - départements et régions de France métropolitaine : depuis le premier trimestre 1982 - zone d’emploi de France métropolitaine : depuis le premier trimestre 2002

En annuel : - départements et régions de France métropolitaine : depuis 1982 - zone d’emploi de France métropolitaine : depuis 2003 - départements d’outre-mer (hors Mayotte) : 2003 (en moyenne annuelle depuis 2014)

Départements

Code 
sl_etc_2020T2 %>%
  group_by(dep_num, dep) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Date

Code 
sl_etc_2020T2 %>%
  group_by(date) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Par Département

Seine-Saint-Denis, Hauts-de-Seine, Paris

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("92", "93", "75")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.8),
        legend.title = element_blank())

Ain, Aisne, Allier

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("01", "02", "03")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Alpes-De-Haute-Provence, Alpes-Maritimes, Hautes-Alpes

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("04", "05", "06")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Ardeche, Ardennes, Ariege

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("07", "08", "09")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Aube, Aude, Aveyron

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("10", "11", "12")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Bouches-du-Rhone, Calvados, Cantal

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("13", "14", "15")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Charente, Charente-Maritime, Cher

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("16", "17", "18")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())

Correze, Corse-du-Sud, Haute-Corse

Code 
sl_etc_2020T2 %>%
  filter(dep_num %in% c("19", "2A", "2B")) %>%
  mutate(date = as.Date(date),
         dep = str_to_title(dep)) %>%
  ggplot + geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
  theme_minimal() + xlab("") + ylab("Taux de chômage") +
  scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
                labels = percent_format(accuracy = 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.15, 0.9),
        legend.title = element_blank())