Construction de logements
Data - Insee
François Geerolf
Info
| source | dataset | .html | .RData |
|---|---|---|---|
| insee | CONSTRUCTION-LOGEMENTS | 2024-05-07 | 2024-05-09 |
Données sur l’immobilier
| source | dataset | .html | .RData |
|---|---|---|---|
| acpr | as151 | 2024-04-05 | 2024-04-05 |
| bdf | BSI1 | 2024-05-08 | 2024-05-08 |
| bdf | CPP | 2024-05-08 | 2024-05-08 |
| bdf | FM | 2024-05-08 | 2024-05-08 |
| bdf | immobilier | 2024-05-08 | 2024-05-07 |
| bdf | MIR | 2024-05-08 | 2024-05-08 |
| bdf | MIR1 | 2024-05-08 | 2024-05-08 |
| bdf | RPP | 2024-05-08 | 2024-05-08 |
| insee | CONSTRUCTION-LOGEMENTS | 2024-05-07 | 2024-05-09 |
| insee | ENQ-CONJ-ART-BAT | 2024-04-18 | 2023-10-25 |
| insee | ENQ-CONJ-IND-BAT | 2024-04-18 | 2024-05-09 |
| insee | ENQ-CONJ-PROMO-IMMO | 2024-04-18 | 2024-05-09 |
| insee | ENQ-CONJ-TP | 2024-04-18 | 2024-05-09 |
| insee | ILC-ILAT-ICC | 2024-04-18 | 2024-05-09 |
| insee | INDICES_LOYERS | 2024-04-18 | 2024-05-09 |
| insee | IPLA-IPLNA-2015 | 2024-04-18 | 2024-05-09 |
| insee | IRL | 2024-04-18 | 2024-05-09 |
| insee | PARC-LOGEMENTS | 2024-04-18 | 2023-12-03 |
| insee | SERIES_LOYERS | 2024-04-18 | 2024-05-09 |
| insee | t_dpe_val | 2024-04-18 | 2024-03-04 |
| notaires | arrdt | 2024-04-08 | 2024-04-08 |
| notaires | dep | 2024-04-08 | 2024-04-08 |
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2024-05-09 |
Last
`CONSTRUCTION-LOGEMENTS` %>%
group_by(TIME_PERIOD) %>%
summarise(Nobs = n()) %>%
arrange(desc(TIME_PERIOD)) %>%
head(1) %>%
print_table_conditional()| TIME_PERIOD | Nobs |
|---|---|
| 2024-03 | 608 |
TITLE_FR
LOGEMENT
`CONSTRUCTION-LOGEMENTS` %>%
left_join(LOGEMENT, by = "LOGEMENT") %>%
group_by(LOGEMENT, Logement) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| LOGEMENT | Logement | Nobs |
|---|---|---|
| SO | Sans objet | 53760 |
| 0 | Logements : ensemble | 31384 |
| NLCR | Logements collectifs et en résidence | 30802 |
| 101 | Logements ordinaires : individuels purs | 20908 |
| 102 | Logements ordinaires : individuels groupés | 20908 |
| 104 | Logements individuels : individuels purs + individuels groupés | 11202 |
| 103 | Logements ordinaires : total des logements - logements en résidence | 1308 |
| 11 | Logements ordinaires : collectifs | 1308 |
| 2 | Logements en résidence | 1308 |
INDICATEUR
`CONSTRUCTION-LOGEMENTS` %>%
left_join(INDICATEUR, by = "INDICATEUR") %>%
group_by(INDICATEUR, Indicateur) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| INDICATEUR | Indicateur | Nobs |
|---|---|---|
| NBRE_LOG_AUT | Nombre de logements autorisés | 84116 |
| NBRE_LOG_COM | Nombre de logements commencés | 83540 |
| SURF_PLANCHER_AUT | Surface de plancher autorisée | 2904 |
| SURF_PLANCHER_COM | Surface de plancher commencée | 2328 |
CUMUL12MOIS
`CONSTRUCTION-LOGEMENTS` %>%
left_join(CUMUL12MOIS, by = "CUMUL12MOIS") %>%
group_by(CUMUL12MOIS, Cumul12mois) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| CUMUL12MOIS | Cumul12mois | Nobs |
|---|---|---|
| CUMUL | Cumul sur 12 mois | 120400 |
| SO | Sans objet | 52488 |
UNIT_MEASURE
`CONSTRUCTION-LOGEMENTS` %>%
group_by(UNIT_MEASURE) %>%
summarise(Nobs = n()) %>%
print_table_conditional()| UNIT_MEASURE | Nobs |
|---|---|
| METRES_CARRES | 5232 |
| SO | 167656 |
REF_AREA
France, Logements
Cumul 12 mois
Commencés, Autorisés
`CONSTRUCTION-LOGEMENTS` %>%
filter(INDICATEUR %in% c("NBRE_LOG_COM", "NBRE_LOG_AUT"),
REF_AREA == "FR-D976",
LOGEMENT == "0",
CUMUL12MOIS == "CUMUL") %>%
month_to_date %>%
left_join(INDICATEUR, by = "INDICATEUR") %>%
ggplot + geom_line(aes(x = date, y = OBS_VALUE/1000, color = Indicateur)) +
xlab("") + ylab("Cumul sur 12 mois") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(100, 800, 50),
labels = dollar_format(pre = "", su = " K", acc = 1)) +
theme(legend.position = c(0.7, 0.9),
legend.title = element_blank())
Individuels purs, collectifs
`CONSTRUCTION-LOGEMENTS` %>%
filter(INDICATEUR %in% c("NBRE_LOG_COM"),
REF_AREA == "FR-D976",
CUMUL12MOIS == "CUMUL",
LOGEMENT %in% c("NLCR", "101")) %>%
month_to_date %>%
left_join(LOGEMENT, by = "LOGEMENT") %>%
ggplot + geom_line(aes(x = date, y = OBS_VALUE/1000, color = Logement)) +
xlab("") + ylab("Cumul sur 12 mois") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 800, 20),
labels = dollar_format(pre = "", su = " K", acc = 1)) +
theme(legend.position = c(0.25, 0.92),
legend.title = element_blank())
Individuels purs, collectifs
`CONSTRUCTION-LOGEMENTS` %>%
filter(INDICATEUR %in% c("NBRE_LOG_COM"),
REF_AREA == "FR-D976",
CUMUL12MOIS == "CUMUL",
LOGEMENT %in% c("0", "101")) %>%
month_to_date %>%
left_join(LOGEMENT, by = "LOGEMENT") %>%
ggplot + geom_line(aes(x = date, y = OBS_VALUE/1000, color = Logement)) +
xlab("") + ylab("Cumul sur 12 mois") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 800, 50),
labels = dollar_format(pre = "", su = " K", acc = 1)) +
theme(legend.position = c(0.7, 0.92),
legend.title = element_blank())
Par type
Valeur
`CONSTRUCTION-LOGEMENTS` %>%
filter(INDICATEUR %in% c("NBRE_LOG_COM"),
REF_AREA == "FR-D976",
CUMUL12MOIS == "CUMUL") %>%
month_to_date %>%
left_join(LOGEMENT, by = "LOGEMENT") %>%
ggplot + geom_line(aes(x = date, y = OBS_VALUE/1000, color = Logement)) +
xlab("") + ylab("Cumul sur 12 mois") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 800, 50),
labels = dollar_format(pre = "", su = " K", acc = 1)) +
theme(legend.position = c(0.7, 0.9),
legend.title = element_blank())
Indice, 2016-
`CONSTRUCTION-LOGEMENTS` %>%
filter(INDICATEUR %in% c("NBRE_LOG_COM"),
REF_AREA == "FR-D976",
CUMUL12MOIS == "CUMUL") %>%
month_to_date %>%
left_join(LOGEMENT, by = "LOGEMENT") %>%
filter(date >= as.Date("2016-01-01")) %>%
group_by(LOGEMENT) %>%
mutate(OBS_VALUE = 100*OBS_VALUE/OBS_VALUE[date == as.Date("2016-01-01")]) %>%
ggplot + geom_line(aes(x = date, y = OBS_VALUE, color = Logement)) +
xlab("") + ylab("Cumul sur 12 mois") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 800, 5)) +
theme(legend.position = c(0.7, 0.9),
legend.title = element_blank())
Mensuel
`CONSTRUCTION-LOGEMENTS` %>%
filter(INDICATEUR %in% c("NBRE_LOG_COM", "NBRE_LOG_AUT"),
REF_AREA == "FR-D976",
LOGEMENT == "0",
CUMUL12MOIS == "SO") %>%
month_to_date %>%
filter(date >= as.Date("2001-01-01")) %>%
left_join(INDICATEUR, by = "INDICATEUR") %>%
ggplot + geom_line(aes(x = date, y = OBS_VALUE/1000, color = Indicateur)) +
xlab("") + ylab("Mensuel") + theme_minimal() +
scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(10, 80, 5),
labels = dollar_format(pre = "", su = " K", acc = 1)) +
theme(legend.position = c(0.7, 0.9),
legend.title = element_blank())