Unemployment, total (% of total labor force) (modeled ILO estimate) - SL.UEM.TOTL.ZS
Data - WDI
François Geerolf
Nobs - Javascript
SL.UEM.TOTL.ZS %>%
left_join(iso2c, by = "iso2c") %>%
group_by(iso2c, Iso2c) %>%
rename(value = `SL.UEM.TOTL.ZS`) %>%
mutate(value = round(value, 1)) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`Unemployment 1 (Bn)` = first(value),
`Year 2` = last(year),
`Unemployment 2 (Bn)` = last(value)) %>%
arrange(-Nobs) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}Turkey
All
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "TR") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.65, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1995-2005
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "TR") %>%
filter(date >= as.Date("1995-01-01"),
date <= as.Date("2005-01-01")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.4, 0.2)) +
scale_x_date(breaks = seq(1900, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Hong Kong
All
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "HK") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.65, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1993-
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "HK",
date >= as.Date("1993-01-01")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.65, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Israel
All
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "IS") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1993-
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "IS",
date >= as.Date("1993-01-01")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
France, Italy, Germany
SL.UEM.TOTL.ZS %>%
filter(iso2c %in% c("FR", "DE", "IT")) %>%
left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
year_to_date() %>%
mutate(value = SL.UEM.TOTL.ZS/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + theme_minimal() +
xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
1997 Asian Financial Crisis
Indonesia, Philippines, Singapore
SL.UEM.TOTL.ZS %>%
year_to_date() %>%
filter(iso2c %in% c("SG", "PH", "ID"),
date >= as.Date("1990-01-01"),
date <= as.Date("2005-01-01")) %>%
left_join(iso2c, by = "iso2c") %>%
ggplot(.) + geom_line() + theme_minimal() +
aes(x = date, y = SL.UEM.TOTL.ZS/100, color = Iso2c, linetype = Iso2c) +
xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Thailand, Malaysia, South Korea
SL.UEM.TOTL.ZS %>%
year_to_date() %>%
filter(iso2c %in% c("TH", "MY", "KR"),
date >= as.Date("1990-01-01"),
date <= as.Date("2005-01-01")) %>%
left_join(iso2c, by = "iso2c") %>%
ggplot(.) + geom_line() + theme_minimal() +
aes(x = date, y = SL.UEM.TOTL.ZS/100, color = Iso2c, linetype = Iso2c) +
xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.title = element_blank(),
legend.position = c(0.85, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Denmark, Netherlands, Sweden
SL.UEM.TOTL.ZS %>%
filter(iso2c %in% c("DK", "SE", "NL")) %>%
left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
year_to_date() %>%
mutate(value = SL.UEM.TOTL.ZS/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + theme_minimal() +
xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
United States, United Kingdom, Japan
SL.UEM.TOTL.ZS %>%
filter(iso2c %in% c("JP", "US", "GB")) %>%
left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
year_to_date() %>%
mutate(value = SL.UEM.TOTL.ZS/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + theme_minimal() +
xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Italy
All
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "IT") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1995-
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "IT",
date >= as.Date("1995-01-01")) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Argentina
All
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "AR") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1996-2005
SL.UEM.TOTL.ZS %>%
year_to_date() %>%
filter(iso2c == "AR",
date >= as.Date("1996-01-01"),
date <= as.Date("2005-01-01")) %>%
ggplot(.) + geom_line() + theme_minimal() +
aes(x = date, y = SL.UEM.TOTL.ZS/100) + xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_x_date(breaks = seq(1900, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 5),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
1996-2020
SL.UEM.TOTL.ZS %>%
year_to_date() %>%
filter(iso2c == "AR",
date >= as.Date("1996-01-01"),
date <= as.Date("2020-01-01")) %>%
ggplot(.) + geom_line() + theme_minimal() +
aes(x = date, y = SL.UEM.TOTL.ZS/100) + xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_x_date(breaks = seq(1900, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 5),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
China
SL.UEM.TOTL.ZS %>%
filter(iso2c == "CN") %>%
year_to_date() %>%
ggplot(.) + geom_line() + theme_minimal() +
aes(x = date, y = SL.UEM.TOTL.ZS/100) + xlab("") + ylab("Unemployment, Total (% of labor force)") +
scale_x_date(breaks = seq(1900, 2020, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 1),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Venezuela
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "VE") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
France
data %>%
left_join(INDICATOR) %>%
year_to_date() %>%
filter(iso2c == "FR") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("Unemployment (%)") +
geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.45, 0.85)) +
scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 10000, 2),
labels = percent_format(a = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")