Emploi, chômage, revenus du travail - Edition 2023

Data - Insee

Author

François Geerolf

Info

source dataset .html .RData
insee ECRT2023 2024-10-29 2023-06-30

Données sur les salaires

source dataset .html .RData
dares les-indices-de-salaire-de-base 2024-11-04 2024-09-21
insee CNA-2014-RDB 2024-11-05 2024-11-05
insee CNT-2014-CSI 2024-11-05 2024-11-05
insee ECRT2023 2024-10-29 2023-06-30
insee if230 2024-10-29 2021-12-04
insee INDICE-TRAITEMENT-FP 2024-10-29 2024-11-05
insee ir_salaires_SL_23_csv 2024-10-29 NA
insee ir_salaires_SL_csv 2024-10-29 NA
insee SALAIRES-ACEMO 2024-10-29 2024-11-05
insee SALAIRES-ACEMO-2017 2024-10-29 2024-11-05
insee SALAIRES-ANNUELS 2024-10-29 2024-11-05
insee t_7401 2024-10-18 2024-10-18
insee t_salaire_val 2024-11-03 2024-09-02

variable

Code 
ECRT2023 %>%
  group_by(variable) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
variable Nobs
Ensemble 52
Cadres y c, chefs d'entreprises 26
Commerce 26
Construction 26
Employés 26
Ensemble des services 26
Femmes 26
Hommes 26
Industrie 26
Ouvriers 26
Professions intermédiaires 26
Services 26
Services aux entreprises 26
Services aux particuliers 26
Services mixtes 26
Transport et entreposage 26

date

Code 
ECRT2023 %>%
  group_by(date) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
date Nobs
1996-01-01 17
1997-01-01 17
1998-01-01 17
1999-01-01 17
2000-01-01 17
2001-01-01 17
2002-01-01 17
2003-01-01 17
2004-01-01 17
2005-01-01 17
2006-01-01 17
2007-01-01 17
2008-01-01 17
2009-01-01 17
2010-01-01 17
2011-01-01 17
2012-01-01 17
2013-01-01 17
2014-01-01 17
2015-01-01 17
2016-01-01 17
2017-01-01 17
2018-01-01 17
2019-01-01 17
2020-01-01 17
2021-01-01 17

F24

Tous

Code 
ECRT2023 %>%
  filter(sheet == "F24") %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  #scale_color_manual(values = viridis(5)[1:4]) +
  geom_line(aes(x = date, y = value, color = variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.3, 0.89)) +
  scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(100, 20000, 10))

F25

Tous

Euros

Code 
ECRT2023 %>%
  filter(sheet == "F25") %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  #scale_color_manual(values = viridis(8)[1:7]) +
  geom_line(aes(x = date, y = value, color = variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(1000, 20000, 200),
                     labels = scales::dollar_format(accuracy = 1, pre = "", su = "€"))

base 100

Code 
ECRT2023 %>%
  filter(sheet == "F25") %>%
  group_by(variable) %>%
  mutate(value = 100*value/value[1]) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  #scale_color_manual(values = viridis(8)[1:7]) +
  geom_line(aes(x = date, y = value, color = variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(100, 200, 2))

F26

Tous

Euros

Code 
ECRT2023 %>%
  filter(sheet == "F26") %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  #scale_color_manual(values = viridis(8)[1:7]) +
  geom_line(aes(x = date, y = value, color = variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(1000, 20000, 200),
                     labels = scales::dollar_format(accuracy = 1, pre = "", su = "€"))

base 100

Code 
ECRT2023 %>%
  filter(sheet == "F26") %>%
  group_by(variable) %>%
  mutate(value = 100*value/value[1]) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("") +
  #scale_color_manual(values = viridis(8)[1:7]) +
  geom_line(aes(x = date, y = value, color = variable)) + 
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(100, 200, 2))