Monetary Aggregates - France
Data - Banque de France
Info
Structure
Data on real estate
| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| bdf | BSI1 | Agrégats monétaires - France | 2026-08-07 | 2026-07-27 |
| acpr | as151 | Enquête annuelle du SGACPR sur le financement de l'habitat 2022 | 2026-08-07 | 2026-08-01 |
| acpr | as160 | Enquête annuelle du SGACPR sur le financement de l'habitat 2023 | 2026-08-07 | 2026-08-01 |
| acpr | as174 | Enquête annuelle du SGACPR sur le financement de l'habitat 2024 | 2026-08-07 | 2026-08-01 |
| bdf | CPP | Prix immobilier commercial | 2026-08-07 | 2026-07-24 |
| bdf | FM | Marché financier, taux | 2026-08-07 | 2026-08-07 |
| bdf | MIR | Taux d'intérêt - Zone euro | 2026-08-07 | 2026-07-28 |
| bdf | MIR1 | Taux d'intérêt - France | 2026-08-07 | 2026-07-28 |
| bdf | RPP | Prix de l'immobilier | 2026-08-07 | 2026-08-07 |
| bdf | immobilier | Immobilier en France | 2026-08-07 | 2026-08-01 |
| cgedd | nombre-vente-maison-appartement-ancien | Nombre de ventes de logements anciens cumulé sur 12 mois | 2026-08-07 | 2026-08-01 |
| insee | CONSTRUCTION-LOGEMENTS | Construction de logements | 2026-08-08 | 2026-08-07 |
| insee | ENQ-CONJ-ART-BAT | Conjoncture dans l'artisanat du bâtiment | 2026-08-08 | 2026-08-07 |
| insee | ENQ-CONJ-IND-BAT | Conjoncture dans l'industrie du bâtiment - ENQ-CONJ-IND-BAT | 2026-08-08 | 2026-08-07 |
| insee | ENQ-CONJ-PROMO-IMMO | Conjoncture dans la promotion immobilière | 2026-08-08 | 2026-08-07 |
| insee | ENQ-CONJ-TP | Conjoncture dans les travaux publics | 2026-08-08 | 2026-08-07 |
| insee | ILC-ILAT-ICC | Indices pour la révision d’un bail commercial ou professionnel | 2026-08-08 | 2026-08-07 |
| insee | INDICES_LOYERS | Indices des loyers d'habitation (ILH) | 2026-08-08 | 2026-08-07 |
| insee | IPLA-IPLNA-2015 | Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens | 2026-08-08 | 2026-08-07 |
| insee | IRL | Indice pour la révision d’un loyer d’habitation | 2026-08-08 | 2026-08-07 |
| insee | PARC-LOGEMENTS | Estimations annuelles du parc de logements (EAPL) | 2026-08-08 | 2026-07-23 |
| insee | SERIES_LOYERS | Variation des loyers | 2026-08-08 | 2026-08-07 |
| insee | t_dpe_val | Dépenses de consommation des ménages pré-engagées | 2026-08-08 | 2026-08-02 |
| notaires | arrdt | Prix au m^2 par arrondissement - arrdt | 2026-08-07 | 2026-08-07 |
| notaires | dep | Prix au m^2 par département | 2026-08-07 | 2026-08-07 |
| olap | loyers | Loyers | 2026-08-01 | 2026-08-01 |
Data on housing
| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| bdf | RPP | Prix de l'immobilier | 2026-08-07 | 2026-08-07 |
| bis | LONG_PP | Residential property prices - detailed series | 2026-08-07 | 2026-07-25 |
| bis | SELECTED_PP | Property prices, selected series | 2026-08-07 | 2026-08-07 |
| ecb | RPP | Residential Property Price Index Statistics | 2026-08-07 | 2026-08-07 |
| eurostat | ei_hppi_q | House price index (2015 = 100) - quarterly data | 2026-08-07 | 2026-08-07 |
| eurostat | hbs_str_t223 | Mean consumption expenditure by income quintile | 2026-08-07 | 2026-08-07 |
| eurostat | prc_hicp_midx | HICP (2015 = 100) - monthly data (index) | 2026-08-08 | 2026-08-07 |
| eurostat | prc_hpi_q | House price index (2015 = 100) - quarterly data | 2026-08-08 | 2026-08-07 |
| fred | housing | House Prices | 2026-08-07 | 2026-08-07 |
| insee | IPLA-IPLNA-2015 | Indices des prix des logements neufs et Indices Notaires-Insee des prix des logements anciens | 2026-08-08 | 2026-08-07 |
| oecd | SNA_TABLE5 | Final consumption expenditure of households | 2026-08-08 | 2026-08-02 |
| oecd | housing | NA | NA | NA |
Latest
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2026-08-09 |
Last
| date | Nobs |
|---|---|
| 2026-06-30 | 16 |
Tables
Balance sheet accounts
Code
ig_b("insee", "ip1967", "table2")
Financial accounts
Code
ig_b("insee", "ip1967", "table2")
BdF Financial Outstanding Amounts
End of 2023
Code
ig_b("bdf", "ER-2023_web", "T1")
End of 2022
Code
ig_b("bdf", "er-2022_rapport_web", "T1")
Regulated Savings Accounts
Overview
- Regulated savings in 2022. pdf
Code
ig_b("bdf", "er-2022_rapport_web", "G1")
LEP: Livret d’Épargne Populaire (Popular Savings Account)
Code
BSI1 |>
filter(variable == "BSI1.M.FR.N.A.L23FRLP.A.1.U6.2251.Z01.E") |>
arrange(desc(date)) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret d'Épargne Populaire (LEP)") +
geom_line(aes(x = date, y = value / 1000)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 100, 5),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, label = round(value/1000, digits = 1)))
Livret A, Livret Bleu, PEL
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRLA.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Livret A, PEL, LEP, Sight deposits
All
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L21.A.1.U6.2250.Z01.E")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Livret A and PEL
All
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2012-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E")) |>
filter(date >= as.Date("2011-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Sight deposits, Ordinary savings account, PEL, Livret A, LDDS
All
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLO.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRCT.A.1.U6.2250.Z01.E")) |>
arrange(date) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.8),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2012-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLO.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRCT.A.1.U6.2250.Z01.E")) |>
filter(date >= as.Date("2011-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.8),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Ordinary savings account, PEL, Livret A, LDDS
2012
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L20.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L21.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L23.A.1.U6.2250.Z01.E")) |>
arrange(date) |>
filter(date >=as.Date("2012-01-01")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 10000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Ordinary savings account, PEL, Livret A, LDDS
All
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLO.A.1.U6.2250.Z01.E")) |>
arrange(date) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2000-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLO.A.1.U6.2250.Z01.E")) |>
filter(date >= as.Date("1999-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2012-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLO.A.1.U6.2250.Z01.E")) |>
filter(date >= as.Date("2011-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
PEL, Livret A, LDDS
All
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E")) |>
arrange(date) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2000-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E")) |>
filter(date >= as.Date("1999-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2012-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L23FRAB.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L22FRPL.A.1.U6.2251.Z01.E",
"BSI1.M.FR.N.A.L23FRLD.A.1.U6.2251.Z01.E")) |>
filter(date >= as.Date("2011-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu, LDDS") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 1), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
PEL, all
Code
BSI1 |>
filter(BS_ITEM %in% c("L22FRPL")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Livret A, Livret Bleu") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.5, 0.6),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(0, 1000, 20),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Sight deposits (L21)
2300
Code
BSI1 |>
filter(BS_ITEM %in% c("L21"),
variable == "BSI1.M.FR.N.A.L21.A.1.U6.2300.Z01.E") |>
ggplot() + theme_minimal() + xlab("") + ylab("Sight deposits") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.5, 0.6),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_log10(breaks = seq(100, 3000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1))
2250 - Households
Code
BSI1 |>
filter(BS_ITEM %in% c("L21"),
variable == "BSI1.M.FR.N.A.L21.A.1.U6.2250.Z01.E") |>
ggplot() + theme_minimal() + xlab("") + ylab("Sight deposits") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.5, 0.6),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_log10(breaks = seq(100, 3000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Deposits (L20)
All
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L20.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L20.A.1.U6.2254FR.Z01.E",
"BSI1.M.FR.N.A.L21.A.1.U6.2300.Z01.E")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Sight deposits") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.5, 0.6),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_log10(breaks = seq(100, 3000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
2012-
Code
BSI1 |>
filter(variable %in% c("BSI1.M.FR.N.A.L20.A.1.U6.2250.Z01.E",
"BSI1.M.FR.N.A.L20.A.1.U6.2254FR.Z01.E",
"BSI1.M.FR.N.A.L21.A.1.U6.2300.Z01.E"),
date >= as.Date("2011-12-31")) |>
ggplot() + theme_minimal() + xlab("") + ylab("Deposits, Sight deposits") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_log10(breaks = seq(100, 3000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Outstanding corporate credit
2240: corporate loans
Linear
Code
data_ombeline <- BSI1 |>
group_by(variable) |>
summarise(max_date = max(date),
min_date = min(date)) |>
left_join(BSI1_var, by = "variable") |>
filter(BS_COUNT_SECTOR == "2240") |>
arrange(desc(max_date))
save(data_ombeline, file = "~/data_ombeline.RData")Outstanding housing loans
Linear
Code
BSI1 |>
filter(grepl("BSI1.M.FR.N.R.A220Z.A.1.U6.2250.Z01.E", variable) |
grepl("BSI1.M.FR.N.R.A220Z.A.1.U6.2254FR.Z01.E", variable) |
grepl("BSI1.M.FR.N.2.A22.A.1.U6.2251.Z01.E", variable)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(-10000, 10000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Log
Code
BSI1 |>
filter(grepl("BSI1.M.FR.N.R.A220Z.A.1.U6.2250.Z01.E", variable) |
grepl("BSI1.M.FR.N.R.A220Z.A.1.U6.2254FR.Z01.E", variable) |
grepl("BSI1.M.FR.N.2.A22.A.1.U6.2251.Z01.E", variable)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.4, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_log10(breaks = seq(-10000, 10000, 100),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Outstanding consumer credit
Linear
Code
BSI1 |>
filter(grepl("BSI1.M.FR.N.R.A210Z.A.1.U6.2254FR.Z01.E", variable) |
grepl("BSI1.M.FR.N.R.A210Z.A.1.U6.2250.Z01.E", variable)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.5, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_continuous(breaks = seq(-10000, 10000, 10),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))
Log
Code
BSI1 |>
filter(grepl("BSI1.M.FR.N.R.A210Z.A.1.U6.2254FR.Z01.E", variable) |
grepl("BSI1.M.FR.N.R.A210Z.A.1.U6.2250.Z01.E", variable)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = value / 1000, color = Variable)) +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.5, 0.9),
legend.title = element_blank(),
legend.direction = "vertical") +
scale_y_log10(breaks = seq(-10000, 10000, 10),
labels = dollar_format(suffix = " Mds€", prefix = "", accuracy = 1)) +
geom_label(data = . %>% filter(date == as.Date("2023-12-31")),
aes(x = date, y = value/1000, color = Variable, label = round(value/1000, digits = 1)))