| source | dataset | Title | .html | .rData |
|---|---|---|---|---|
| oecd | IALFS_UNE_M | Monthly unemployment rates | 2026-07-24 | 2026-07-24 |
Monthly unemployment rates
Data - OECD
Info
Last
| obsTime | Nobs |
|---|---|
| 2026-Q1 | 17 |
REF_AREA
Code
IALFS_UNE_M %>%
group_by(REF_AREA, Ref_area) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()MEASURE
Code
IALFS_UNE_M %>%
group_by(MEASURE) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| MEASURE | Nobs |
|---|---|
| UNE_LF_M | 455395 |
ADJUSTMENT
Code
IALFS_UNE_M %>%
group_by(ADJUSTMENT, Adjustment) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| ADJUSTMENT | Adjustment | Nobs |
|---|---|---|
| Y | Calendar and seasonally adjusted | 229636 |
| N | Neither seasonally adjusted nor calendar adjusted | 225759 |
FREQ
Code
IALFS_UNE_M %>%
group_by(FREQ, `Frequency of observation`) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| FREQ | Frequency of observation | Nobs |
|---|---|---|
| M | Monthly | 317108 |
| Q | Quarterly | 110875 |
| A | Annual | 27412 |
AGE
Code
IALFS_UNE_M %>%
group_by(AGE, Age) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| AGE | Age | Nobs |
|---|---|---|
| Y_GE15 | 15 years or over | 159218 |
| Y15T24 | From 15 to 24 years | 149105 |
| Y_GE25 | 25 years or over | 147072 |
SEX
Code
IALFS_UNE_M %>%
group_by(SEX, Sex) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()| SEX | Sex | Nobs |
|---|---|---|
| _T | Total | 152454 |
| M | Male | 151484 |
| F | Female | 151457 |
U.S., Europe, France, Germany, Italy, Spain
1999-
Code
IALFS_UNE_M %>%
filter(REF_AREA %in% c("USA", "EA20", "FRA", "DEU", "ESP", "ITA"),
FREQ == "Q",
SEX == "_T",
ADJUSTMENT == "Y",
AGE == "Y_GE15"
) %>%
quarter_to_date %>%
filter(date >= as.Date("1999-01-01")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("PIB par habitant (1999T1 = 100)") +
geom_line(aes(x = date, y = obsValue, color = Ref_area)) +
scale_x_date(breaks = c(seq(1999, 2100, 2)) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y"))
U.S., Europe, Italy
1995-
Code
IALFS_UNE_M %>%
filter(REF_AREA %in% c("USA", "EA20", "FRA", "ITA"),
FREQ == "Q",
SEX == "_T",
ADJUSTMENT == "Y",
AGE == "Y_GE15"
) %>%
quarter_to_date %>%
filter(date >= as.Date("1999-01-01")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("PIB par habitant (1999T1 = 100)") +
geom_line(aes(x = date, y = obsValue, color = Ref_area)) +
scale_x_date(breaks = c(seq(1999, 2100, 2)) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y"))