| source | dataset | Title | Download | Compile |
|---|---|---|---|---|
| oecd | MEI_CLI | Composite Leading Indicators (MEI) | NA | [2026-08-07] |
| oecd | QNA | Quarterly National Accounts | 2026-04-12 | [2026-08-08] |
| oecd | SNA_TABLE2 | Disposable income and net lending - net borrowing | NA | [2026-08-08] |
Composite Leading Indicators (MEI)
Data - OECD
Info
LAST_COMPILE
| LAST_COMPILE |
|---|
| 2026-08-08 |
Last
| obsTime | FREQUENCY | Nobs |
|---|---|---|
| 2022 | A | 5 |
| 2023-08 | M | 118 |
| 2023-Q2 | Q | 32 |
SUBJECT
Code
MEI_CLI |>
left_join(MEI_CLI_var$SUBJECT, by = c("SUBJECT")) |>
group_by(SUBJECT, Subject) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| SUBJECT | Subject | Nobs |
|---|---|---|
| BSCICP03 | OECD Standardised BCI, Amplitude adjusted (Long term average=100), sa | 25369 |
| CSCICP03 | OECD Standardised CCI, Amplitude adjusted (Long term average=100), sa | 24791 |
| LORSGPNO | Normalised (GDP) | 15415 |
| LORSGPRT | Ratio to trend (GDP) | 15415 |
| LORSGPTD | Trend (GDP) | 14868 |
| LOLITOAA | Amplitude adjusted (CLI) | 13417 |
| LOLITONO | Normalised (CLI) | 13417 |
| LOLITOTR_STSA | Trend restored (CLI) | 13147 |
| LOLITOTR_GYSA | 12-month rate of change of the trend restored CLI | 12871 |
| LORSGPOR_IXOBSA | Original, seasonally adjusted (GDP) | 7850 |
| LORSGPOR_GYSA | 12-month rate of change of the reference series (GDP) | 7635 |
FREQUENCY
Code
MEI_CLI |>
left_join(MEI_CLI_var$FREQUENCY, by = c("FREQUENCY")) |>
group_by(FREQUENCY, Frequency) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| FREQUENCY | Frequency | Nobs |
|---|---|---|
| M | Monthly | 156100 |
| Q | Quarterly | 7884 |
| A | Annual | 211 |
LOCATION
Code
MEI_CLI |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION, Location) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Location))),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}Info
Documentation: http://www.oecd.org/sdd/leading-indicators/41629509.pdf
Leading Indicators Turning Point: http://www.oecd.org/sdd/leading-indicators/CLI-components-and-turning-points.pdf.
OECD Standardised Business Confidence Indicator (BCI)
France, Germany, Japan
All
Code
MEI_CLI |>
# OECD Standardised Business Confidence Indicator
filter(LOCATION %in% c("FRA", "DEU", "JPN"),
SUBJECT == "BSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
1995-
Code
MEI_CLI |>
# OECD Standardised Business Confidence Indicator
filter(LOCATION %in% c("FRA", "DEU", "JPN"),
SUBJECT == "BSCICP03") |>
month_to_date() |>
filter(date >= as.Date("1995-01-01")) |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
Italy, United States, United Kingdom
All
Code
MEI_CLI |>
# OECD Standardised Business Confidence Indicator
filter(LOCATION %in% c("ITA", "USA", "GBR"),
SUBJECT == "BSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 10) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
1995-
Code
MEI_CLI |>
# OECD Standardised Business Confidence Indicator
filter(LOCATION %in% c("ITA", "USA", "GBR"),
SUBJECT == "BSCICP03") |>
month_to_date() |>
filter(date >= as.Date("1995-01-01")) |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
OECD Standardised Consumer Confidence Indicator (CCI), Amplitude adjusted (Long term average=100), sa (CCI)
Nobs
Code
MEI_CLI |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
filter(SUBJECT == "CSCICP03") |>
group_by(LOCATION, Location, FREQUENCY) |>
arrange(obsTime) |>
summarise(Nobs = n(),
obsTime1 = first(obsTime),
obsTime2 = last(obsTime)) |>
arrange(-Nobs) |>
print_table_conditional()France, Germany, Japan
All
Code
MEI_CLI |>
# CSCICP03: Consumer Confidence Indicator (CCI)
filter(LOCATION %in% c("FRA", "DEU", "JPN"),
SUBJECT == "CSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
2010-
Code
MEI_CLI |>
# CSCICP03: Consumer Confidence Indicator (CCI)
filter(LOCATION %in% c("FRA", "DEU", "JPN"),
SUBJECT == "CSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
filter(date >= as.Date("2010-01-01")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
France, Germany, Italy
All
Code
MEI_CLI |>
# CSCICP03: Consumer Confidence Indicator (CCI)
filter(LOCATION %in% c("FRA", "DEU", "ITA"),
SUBJECT == "CSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
2010-
Code
MEI_CLI |>
# CSCICP03: Consumer Confidence Indicator (CCI)
filter(LOCATION %in% c("FRA", "DEU", "ITA"),
SUBJECT == "CSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
filter(date >= as.Date("2010-01-01")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
Italy, United States, United Kingdom
Code
MEI_CLI |>
# CSCICP03: Consumer Confidence Indicator (CCI)
filter(LOCATION %in% c("ITA", "USA", "GBR"),
SUBJECT == "CSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())
Switzerland, Belgium, Netherlands
Code
MEI_CLI |>
# CSCICP03: Consumer Confidence Indicator (CCI)
filter(LOCATION %in% c("CHE", "BEL", "NLD"),
SUBJECT == "CSCICP03") |>
month_to_date() |>
left_join(MEI_CLI_var$LOCATION, by = "LOCATION") |>
group_by(LOCATION) |>
left_join(colors, by = c("Location" = "country")) |>
ggplot() + geom_line(aes(x = date, y = obsValue, color = color)) +
scale_color_identity() + add_3flags +
theme_minimal() + xlab("") + ylab("OECD Standardised BCI") +
scale_x_date(breaks = seq(1940, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-10, 200, 1),
labels = dollar_format(accuracy = 1, prefix = "")) +
theme(legend.position = c(0.2, 0.90),
legend.title = element_blank())