source | dataset | .html | .RData |
---|---|---|---|
insee | CNA-2014-PIB | 2024-11-09 | 2024-11-09 |
insee | t_3217 | 2024-11-05 | 2023-07-17 |
3.217 – Principaux impôts par catégorie (En milliards d’euros)
Data - INSEE
Info
Données sur les finances publiques
Last
Code
%>%
t_3217 group_by(year) %>%
summarise(Nobs = n()) %>%
arrange(desc(year)) %>%
head(1) %>%
print_table_conditional()
year | Nobs |
---|---|
2022 | 69 |
Principaux impots
Code
i_g("bib/insee/TEF2020/recette-administrations-publiques-bind.png")
2019
Ordre Ligne
Code
i_g("bib/insee/t_3217_bind.png")
Ordre Ligne
Code
%>%
t_3217 filter(year == "2019") %>%
left_join(gdp, by = "year") %>%
select(-year) %>%
mutate(`%` = round(100*value / gdp, 2)) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Ordre décroissant
Code
%>%
t_3217 filter(year == "2019") %>%
left_join(gdp, by = "year") %>%
select(-year) %>%
mutate(`%` = round(100*value / gdp, 2)) %>%
arrange(-value) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Individuel
Ensemble des prélèvements obligatoires
Code
%>%
t_3217 filter(line %in% c(68)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.75, 0.15),
legend.title = element_blank())
Tabac
Code
%>%
t_3217 filter(line %in% c(6)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
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, 0.02),
labels = percent_format(accuracy = .01)) +
theme(legend.position = c(0.75, 0.15),
legend.title = element_blank())
CSG (Santé), Tabac
Code
%>%
t_3217 filter(line %in% c(6, 47)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.75, 0.15),
legend.title = element_blank())
Gros prélèvements
TVA, produits
Code
%>%
t_3217 filter(line %in% c(1, 4, 18, 27, 46, 66)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.55, 0.55),
legend.title = element_blank())
Impôt sur les sociétés
Code
%>%
t_3217 filter(line %in% c(53)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .2),
labels = percent_format(accuracy = .1)) +
theme(legend.position = c(0.6, 0.9),
legend.title = element_blank())
Impôt sur les sociétés, IR, TICPE
Code
%>%
t_3217 filter(line %in% c(53, 50, 5)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .2),
labels = percent_format(accuracy = .1)) +
theme(legend.position = c(0.55, 0.9),
legend.title = element_blank())
Droits d’enregistrement, droits de mutation, habitation, foncière
Code
%>%
t_3217 filter(line %in% c(7, 64, 58, 33)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
labels = percent_format(accuracy = .1)) +
theme(legend.position = c(0.3, 0.9),
legend.title = element_blank())
IR, TVA, CSG
Tous
Code
%>%
t_3217 filter(line %in% c(1, 47, 46)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.75, 0.15),
legend.title = element_blank())
Court
Code
%>%
t_3217 filter(line %in% c(1, 47, 46)) %>%
left_join(tibble(line = c(1, 47, 46),
Variable = c("TVA", "Impôt sur le Revenu", "CSG"))) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Variable)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
labels = percent_format(accuracy = 1)) +
theme(legend.position = c(0.85, 0.15),
legend.title = element_blank())
IR, CSG (Santé), TVA, Impôts sur les produits
Code
%>%
t_3217 filter(line %in% c(1, 4, 44, 47)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
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),
limits = c(0, 0.08)) +
theme(legend.position = c(0.6, 0.15),
legend.title = element_blank())
Taxe foncière, Impots divers sur la production, Impôts sur les salaires
Code
%>%
t_3217 filter(line %in% c(26, 18, 31, 32)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
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, .5),
labels = percent_format(accuracy = .1)) +
theme(legend.position = c(0.3, 0.5),
legend.title = element_blank())
Autres impots, Droit enregistrement, IS, TIPP
Code
%>%
t_3217 filter(line %in% c(8, 9, 13, 6, 14)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
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)) +
theme(legend.position = c(0.6, 0.9),
legend.title = element_blank())
Autres impots, Droit enregistrement, IS, TIPP
All
Code
%>%
t_3217 filter(line %in% c(8, 9, 13, 6, 14)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
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),
limits = c(0, 0.008)) +
theme(legend.position = c(0.3, 0.86),
legend.title = element_blank())
2000-
Code
%>%
t_3217 filter(line %in% c(8, 9, 13, 6, 14)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 filter(date >= as.Date("2000-01-01")) %>%
+ geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
labels = percent_format(accuracy = .1),
limits = c(0, 0.008)) +
theme(legend.position = c(0.3, 0.86),
legend.title = element_blank())
2007-
Code
%>%
t_3217 filter(line %in% c(8, 9, 13, 6, 14)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 filter(date >= as.Date("2007-01-01")) %>%
+ geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2027, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
labels = percent_format(accuracy = .1),
limits = c(0, 0.008)) +
theme(legend.position = c(0.3, 0.86),
legend.title = element_blank())
Somme
Code
%>%
t_3217 filter(line %in% c(8, 9, 13, 6, 14)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 filter(date >= as.Date("2007-01-01")) %>%
group_by(date) %>%
summarise(value = sum(value),
gdp = gdp[1]) %>%
+ geom_line(aes(x = date, y = value / gdp)) +
ggplot theme_minimal() + xlab("") + ylab("% du PIB") +
scale_x_date(breaks = seq(1960, 2027, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
labels = percent_format(accuracy = .1)) +
theme(legend.position = c(0.3, 0.86),
legend.title = element_blank())
Petits impôts
Droits d’enregistrement
Code
%>%
t_3217 filter(line %in% c(7)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp)) +
ggplot theme_minimal() + xlab("") + ylab("Droits d'enregistrement (% du PIB)") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 0.05),
labels = percent_format(accuracy = .01)) +
theme(legend.position = c(0.75, 0.15),
legend.title = element_blank())
Taxe intérieure de consommation sur les produits énergétiques
Code
%>%
t_3217 filter(line %in% c(5)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 + geom_line(aes(x = date, y = value / gdp)) +
ggplot theme_minimal() + xlab("") + ylab("Taxe intérieure de conso sur les produits énergétiques\n(% du PIB)") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 0.05),
labels = percent_format(accuracy = .01)) +
theme(legend.position = c(0.75, 0.15),
legend.title = element_blank())
Taxe foncière
Code
%>%
t_3217 filter(line %in% c(33, 34, 35)) %>%
left_join(gdp, by = "year") %>%
%>%
year_to_date2 mutate(Line = gsub("Taxe foncière", " Taxe foncière", Line)) %>%
+ geom_line(aes(x = date, y = value / gdp, color = Line)) +
ggplot theme_minimal() + xlab("") + ylab("Taxe foncière (% du PIB)") +
scale_x_date(breaks = seq(1960, 2030, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 0.1),
labels = percent_format(accuracy = .1)) +
theme(legend.position = c(0.3, 0.9),
legend.title = element_blank())