Unemployment, total (% of total labor force) (modeled ILO estimate) - SL.UEM.TOTL.ZS

Data - WDI

Author

François Geerolf

Nobs - Javascript

Code 
SL.UEM.TOTL.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.65, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.4, 0.2)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.65, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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-

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.65, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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-

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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 = value/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + theme_minimal() + 
  xlab("") + ylab("Unemployment, Total (% of labor force)") +
  scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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 = value/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, 2100, 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

Code 
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 = value/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, 2100, 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

Code 
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 = value/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + theme_minimal() + 
  xlab("") + ylab("Unemployment, Total (% of labor force)") +
  scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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 = value/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) + theme_minimal() + 
  xlab("") + ylab("Unemployment, Total (% of labor force)") +
  scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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-

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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 = value/100) + xlab("") + ylab("Unemployment, Total (% of labor force)") +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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 = value/100) + xlab("") + ylab("Unemployment, Total (% of labor force)") +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
SL.UEM.TOTL.ZS %>%
  filter(iso2c == "CN") %>%
  year_to_date() %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = value/100) + xlab("") + ylab("Unemployment, Total (% of labor force)") +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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

Code 
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)) +
  
  theme(legend.title = element_blank(),
        legend.position = c(0.45, 0.85)) +
  scale_x_date(breaks = seq(1900, 2100, 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")