Agrégats monétaires - France

Data - BDF

Author

François Geerolf

Info

source dataset .html .RData
bdf BSI1 2025-01-05 2025-01-13

Données sur l’immobilier

source dataset .html .RData
acpr as151 2024-06-19 2024-04-05
bdf BSI1 2025-01-05 2025-01-13
bdf CPP 2025-01-05 2024-07-01
bdf FM 2025-01-10 2025-01-13
bdf immobilier 2025-01-05 2024-11-19
bdf MIR 2025-01-05 2024-07-01
bdf MIR1 2024-11-29 2024-12-09
bdf RPP 2025-01-05 2024-11-19
cgedd nombre-vente-maison-appartement-ancien 2024-09-26 2024-09-26
insee CONSTRUCTION-LOGEMENTS 2025-01-07 2025-01-05
insee ENQ-CONJ-ART-BAT 2025-01-07 2025-01-05
insee ENQ-CONJ-IND-BAT 2025-01-07 2025-01-05
insee ENQ-CONJ-PROMO-IMMO 2025-01-07 2025-01-05
insee ENQ-CONJ-TP 2025-01-07 2025-01-05
insee ILC-ILAT-ICC 2025-01-07 2025-01-05
insee INDICES_LOYERS 2025-01-07 2025-01-05
insee IPLA-IPLNA-2015 2025-01-07 2025-01-05
insee IRL 2025-01-07 2025-01-05
insee PARC-LOGEMENTS 2025-01-07 2023-12-03
insee SERIES_LOYERS 2025-01-07 2025-01-05
insee t_dpe_val 2025-01-07 2024-12-21
notaires arrdt 2025-01-05 2025-01-05
notaires dep 2025-01-05 2025-01-05

Data on housing

source dataset .html .RData
bdf RPP 2025-01-05 2024-11-19
bis LONG_PP 2024-12-29 2024-05-10
bis SELECTED_PP 2024-12-29 2024-10-31
ecb RPP 2024-12-29 2024-12-29
eurostat ei_hppi_q 2025-01-07 2025-01-07
eurostat hbs_str_t223 2025-01-05 2025-01-07
eurostat prc_hicp_midx 2024-11-01 2025-01-07
eurostat prc_hpi_q 2025-01-07 2024-10-09
fred housing 2025-01-10 2025-01-10
insee IPLA-IPLNA-2015 2025-01-07 2025-01-05
oecd housing 2024-09-15 2020-01-18
oecd SNA_TABLE5 2024-09-11 2023-10-19

Derniers

  • Dernier. html

  • Crédits aux particuliers, Juin 2023. pdf

  • Liste Données BDF Crédit aux particuliers. html

  • Crédits aux particuliers, Avril 2021. html / pdf

  • Crédits aux particuliers, Octobre 2021. html / pdf

LAST_COMPILE

LAST_COMPILE
2025-01-13

Last

date Nobs
2024-11-30 996

Data Structure

Code 
BSI1_metadata %>%
  select(key, name) %>%
  unique %>%
  print_table_conditional()
key name
FREQ Périodicité
REF_AREA Zone géographique - ISO2
ADJUSTMENT Correction statistique
BS_REP_SECTOR Secteur de référence
BS_ITEM Poste de bilan
MATURITY_ORIG Maturité
DATA_TYPE Type de données
COUNT_AREA Zone géo. de contrepartie
BS_COUNT_SECTOR Secteur contrepartie
CURRENCY_TRANS Devise de transaction
BS_SUFFIX Suffixe

FREQ Frequency

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(FREQ, by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
FREQ Freq Nobs
M Mensuel 594075
Q Trimestriel 94266

REF_AREA Reference area - ISO2

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
REF_AREA Ref_area Nobs
FR France 527510
U2 Zone Euro (composition évolutive) 160831

ADJUSTMENT Adjustment

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(ADJUSTMENT, by = "ADJUSTMENT") %>%
  group_by(ADJUSTMENT, Adjustment) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
ADJUSTMENT Adjustment Nobs
N Brut 569158
Y CVS/CJO 118141
S CVS 1042

BS_REP_SECTOR Reference sector breakdown

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(BS_REP_SECTOR, by = "BS_REP_SECTOR") %>%
  group_by(BS_REP_SECTOR, Bs_rep_sector) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
BS_REP_SECTOR Bs_rep_sector Nobs
A IFM ( hors Eurosystème) 210822
V IFM, administrations centrales et banques postales 181993
R Etablissements de crédit 96091
N Banque Centrale Nationale 52751
C Eurosystème 44812
U Institutions monétaires et financières (IFM) 42646
7 Agrégation IF métropole 16585
G Administrations centrales et la poste 13180
2 Banques 8318
1 Banques FBF 5275
4 CDC 5206
5 Banques mutualistes 5171
F OPCVM monétaires 2808
3 FCC 1166
8 IFM divers non ventilé 735
6 Agrégation IFM 608
AU Autres 58
CB Canal bancaire 58
CC Spécialisés crédit consommation 58

BS_ITEM Balance sheet item

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(BS_ITEM, by = "BS_ITEM") %>%
  group_by(BS_ITEM, Bs_item) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

MATURITY_ORIG Maturity origin

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(MATURITY_ORIG, by = "MATURITY_ORIG") %>%
  group_by(MATURITY_ORIG, Maturity_orig) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
MATURITY_ORIG Maturity_orig Nobs
A Total 562157
L Jusqu`à 2 ans 37323
X Non applicable 22484
H Plus de 2 ans 18627
D Jusqu`à 3 mois 14207
F Jusqu`à 1 an 10632
M Maturité jusqu`à 2 ans et remboursables avec préavis de moins de 3 mois 6958
K Plus de 1 an 3725
J Supérieur à 5 ans 3572
I Plus de 1 et jusqu`à 5 ans 3384
E Supérieur à 3 mois 3295
G Supérieur à 1 an et inférieur à 2 ans 1977

DATA_TYPE Data type

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(DATA_TYPE, by = "DATA_TYPE") %>%
  group_by(DATA_TYPE, Data_type) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
DATA_TYPE Data_type Nobs
1 Encours 286243
4 Flux 213773
I Indices notionnels des stocks 174368
S Flux cumulés sur 1 an 10217
Q Contribution au taux de croissance annuel de M3 1787
U Provisions 1213
8 Valorisation 599
D Variation d`encours 141

COUNT_AREA Counterpart area

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(COUNT_AREA, by = "COUNT_AREA") %>%
  group_by(COUNT_AREA, Count_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
COUNT_AREA Count_area Nobs
U6 Résidents 387574
U2 Zone Euro (composition évolutive) 139443
Z5 Monde non ventilé (geographiquement) 85928
U5 Autres pays de la Zone Euro (Tous pays excepté zone de référence) 39723
U4 Hors Zone Euro 22747
Z9 Reste du Monde 1710
AT Autriche 752
BE Belgique 752
DE Allemagne 752
DK Danemark 752
ES Espagne 752
FI Finlande 752
GB Royaume-Uni 752
GR Grèce 752
IE Irlande 752
IT Italie 752
LU Luxembourg 752
NL Pays-Bas 752
PT Portugal 752
SE Suède 752
D4 Extra zone euro à 15 (composition fixe) 688

BS_COUNT_SECTOR Counterpart sector

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(BS_COUNT_SECTOR, by = "BS_COUNT_SECTOR") %>%
  group_by(BS_COUNT_SECTOR, Bs_count_sector) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
BS_COUNT_SECTOR Bs_count_sector Nobs
2300 Administrations publiques hors administrations centrales et secteur privé hors IFMs 168360
0000 Secteur de contrepartie non précisée (0000) 139530
2240 Sociétés non financières (S11) 54640
2100 Administrations publiques 39097
1000 Institutions financières monétaires 36301
2250 Ménages et ISBLSM (S14 et S15) 33728
2200 secteur privé financier et non financier (hors IFMs) 30470
2251 Ménages 24274
2000 Non IFM 23786
2254FR Particuliers (S14) 23750
2310FR Agents non financiers (2220+2230+2100+2252) 22715
2220 Sociétés d`assurances, fonds de pensions 15079
2210 Autres institutions financières (2210) 14312
2253 Entrepreneurs individuels 9578
2110 Etat 9529
2252 Institutions sans but lucratif au service des ménages (S15) 8068
2120 Autres administrations publiques 5465
2211 Autres Intermédiaires Financières - dont organismes de titrisation 5076
2122 Administrations publiques locales 3409
00BK Banques non résidentes 3352
00NB Secteur non bancaire, non résident 3352
2123 Sécurité Sociale 3033
22F0 NA 2678
2311FR Autres agents (2100+2220+2252) 2305
2230 Ménages et sociétés non financières (S11+S14+S15) 2295
2121 Administrations d`Etat fédérés 1316
2320FR Tous agents hors particuliers (2310FR-2254FR) 1191
2260 OPC non monétaires 951
MIC Micro-entreprises 513
00NR Secteur non bancaire, non résident, hors administrations publiques 188

CURRENCY_TRANS Currency of transaction

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  left_join(CURRENCY_TRANS, by = "CURRENCY_TRANS") %>%
  group_by(CURRENCY_TRANS, Currency_trans) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
CURRENCY_TRANS Currency_trans Nobs
Z01 Toutes monnaies confondues 672315
EUR Euro 2769
XAU Or Monetaire 1977
CHF Franc Suisse 1880
JPY Yen 1880
USD Dollar des Etats-Unis 1880
Z03 Autres devises de l`UE (hors euro) 1880
Z04 Autres devises (hors UE) 1880
Z05 Devises hors UE et hors USD, CHF et JPY 1880

Tables

Comptes de patrimoine

Code 
ig_b("insee", "ip1967", "table2")

Comptes financiers

Code 
ig_b("insee", "ip1967", "table2")

Encours financiers BDF

Fin 2023

Code 
ig_b("bdf", "ER-2023_web", "T1")

Fin 2022

Code 
ig_b("bdf", "er-2022_rapport_web", "T1")

Livrets réglementés

Panorama

  • L’épargne réglementée en 2022. pdf
Code 
ig_b("bdf", "er-2022_rapport_web", "G1")

LEP: Livret Epargne Populaire

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  filter(BS_ITEM == "L23FRLP",
         DATA_TYPE == "1",
         BS_REP_SECTOR == "U") %>%
  arrange(desc(date)) %>%
  left_join(BSI1_var, by = "variable") %>%
  ggplot + theme_minimal() + xlab("") + ylab("Livret d'Epargne Populaire") +
  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)))

Livrets A et Bleus, 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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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 et PEL, LEP, Déôts vue

Tous

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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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 et PEL

Tous

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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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)))

Dépôts à vue, Livret ordinaire, PEL, Livret A, LDDS

Tous

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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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)))

Livret ordinaire, 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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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)))

Livret ordinaire, PEL, Livret A, LDDS

Tous

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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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

Tous

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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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")) %>%
  left_join(BSI1_var, by = "variable") %>%
  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, tous

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  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)))

Dépôts à vue (L21)

2300

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  filter(BS_ITEM %in% c("L21"),
         variable == "BSI1.M.FR.N.A.L21.A.1.U6.2300.Z01.E") %>%
  ggplot + theme_minimal() + xlab("") + ylab("Dépôts à vue") +
  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 - Ménages

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  filter(BS_ITEM %in% c("L21"),
         variable == "BSI1.M.FR.N.A.L21.A.1.U6.2250.Z01.E") %>%
  ggplot + theme_minimal() + xlab("") + ylab("Dépôts à vue") +
  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)))

Dépôts (L20)

Tous

Code 
BSI1 %>%
  left_join(BSI1_var, by = "variable") %>%
  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("Dépôts à vue") +
  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 %>%
  left_join(BSI1_var, by = "variable") %>%
  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("Dépôts, Dépôts à vue") +
  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)))

Encours crédit entreprises

2240: crédits entrerpises

Linear

Code 
data_ombeline <- BSI1 %>%
  group_by(variable) %>%
  summarise(max_date = max(date),
            min_date = min(date)) %>%
  left_join(variable, by = "variable") %>%
  filter(BS_COUNT_SECTOR == "2240") %>%
  arrange(desc(max_date))

save(data_ombeline, file = "~/data_ombeline.RData")

Encours crédit à l’habitat

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)) %>%
  left_join(BSI1_var, by = "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)) %>%
  left_join(BSI1_var, by = "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)))

Encours crédit à la consommation

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)) %>%
  left_join(BSI1_var, by = "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)) %>%
  left_join(BSI1_var, by = "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)))