Last observation: 2019-12 (N = 740)
First observation: 2010-01 (N = 2)
Last data update: 02 aoû 2026, 08:46. Last compile: 17 aoû 2026, 21:55
Data - Zillow
Last observation: 2019-12 (N = 740)
First observation: 2010-01 (N = 2)
Last data update: 02 aoû 2026, 08:46. Last compile: 17 aoû 2026, 21:55
County_MedianRentalPrice_AllHomes |>
group_by(SizeRank, RegionName, State, Metro, StateCodeFIPS, MunicipalCodeFIPS) |>
summarise(Nobs = n()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}County_MedianRentalPrice_AllHomes |>
group_by(date) |>
summarise(Nobs = n()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}(ref:california-2012-Q4) Price per Square Feet, 2012-Q4, FRB
County_MedianRentalPrice_AllHomes |>
mutate(year = date |> paste() |> substr(1, 4) |> as.numeric(),
month = date |> paste() |> substr(6, 7) |> as.numeric(),
county_code = StateCodeFIPS*1000 + MunicipalCodeFIPS,
date = paste0(date, "-01") |> as.Date()) |>
filter(date == as.Date("2012-10-01")) |>
select(county_code, value) |>
left_join(county_code_name |>
select(county_code, subregion = county_name3, region = state_name3),
by = "county_code") |>
right_join(county |>
filter(region == "california"),
by = c("region", "subregion")) |>
ggplot(aes(long, lat, group = group)) +
geom_polygon(aes(fill = value), colour = alpha("black", 1/2), size = 0.2) +
scale_fill_viridis_c(labels = scales::dollar_format(accuracy = 1),
na.value = "white",
breaks = seq(0,5000, 250),
values = c(0, 0.2, 0.4, 0.6, 0.8, 1)) +
theme_void() +
theme(legend.position = c(0.8, 0.8)) +
labs(fill = "Median Rental Price \nAll Homes") + coord_fixed(ratio = 1)
(ref:california-2018-Q4) Price per Square Feet, 2018-Q4, FRB
County_MedianRentalPrice_AllHomes |>
mutate(year = date |> paste() |> substr(1, 4) |> as.numeric(),
month = date |> paste() |> substr(6, 7) |> as.numeric(),
county_code = StateCodeFIPS*1000 + MunicipalCodeFIPS,
date = paste0(date, "-01") |> as.Date()) |>
filter(date == as.Date("2018-10-01")) |>
select(county_code, value) |>
left_join(county_code_name |>
select(county_code, subregion = county_name3, region = state_name3),
by = "county_code") |>
right_join(county |>
filter(region == "california"),
by = c("region", "subregion")) |>
ggplot(aes(long, lat, group = group)) +
geom_polygon(aes(fill = value), colour = alpha("black", 1/2), size = 0.2) +
scale_fill_viridis_c(labels = scales::dollar_format(accuracy = 1),
na.value = "white",
breaks = seq(0,5000, 250),
values = c(0, 0.2, 0.4, 0.6, 0.8, 1)) +
theme_void() +
theme(legend.position = c(0.8, 0.8)) +
labs(fill = "Median Rental Price \nAll Homes") + coord_fixed(ratio = 1)