Military expenditure (% of GDP) - MS.MIL.XPND.GD.ZS

Data - WDI

~/data/wdi/

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DOWNLOAD_TIME
2022-09-27

Last

MS.MIL.XPND.GD.ZS %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()

year	Nobs
2020	192

Nobs - Javascript

Nobs - Max - Min

MS.MIL.XPND.GD.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  rename(value = `MS.MIL.XPND.GD.ZS`) %>%
  mutate(value = round(value, 1)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Manufacturing Share 1 (%)` = first(value),
            `Year 2` = last(year),
            `Manufacturing Share 2 (%)` = last(value)) %>%
  arrange(-`Manufacturing Share 2 (%)`) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Nobs

MS.MIL.XPND.GD.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  summarise(Period = paste0(first(year), "-", last(year)),
            Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Afghanistan

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("AF")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + xlab("") + ylab("Military expenditure (% of GDP)") + 
  geom_line(aes(x = date, y = MS.MIL.XPND.GD.ZS/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Argentina

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("AR")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + xlab("") + ylab("Military expenditure (% of GDP)") + 
  geom_line(aes(x = date, y = MS.MIL.XPND.GD.ZS/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Uruguay

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("UY")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + xlab("") + ylab("Military expenditure (% of GDP)") + 
  geom_line(aes(x = date, y = MS.MIL.XPND.GD.ZS/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Hungary

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("HU")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + xlab("") + ylab("Military expenditure (% of GDP)") + 
  geom_line(aes(x = date, y = MS.MIL.XPND.GD.ZS/100)) + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 0.5),
                     labels = scales::percent_format(accuracy = 0.1))

OECD, World, Advanced

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "EU")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

Sweden, OECD, World, Advanced

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "EU", "SE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, Advanced, France, Germany

All

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "FR", "DE", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_5flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1995-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "FR", "DE", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_5flags +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, World, Advanced, France, Russia

All

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB", "RU")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  mutate(Iso2c = ifelse(iso2c == "RU", "Russia", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_7flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1995-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB", "RU")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  mutate(Iso2c = ifelse(iso2c == "RU", "Russia", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_7flags +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, World, Advanced, France

All

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_6flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1995-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_6flags +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

China

1995-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE", "US", "GB", "CN")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_7flags +
  scale_x_date(breaks = seq(1950, 2020, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

OECD, World, Advanced, France

All

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

1997-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "1W", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1997-01-01")) %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "DE", color2, color)) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
                     labels = scales::percent_format(accuracy = 1))

France, Germany, OECD

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("OE", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  mutate(Iso2c = ifelse(iso2c == "OE", "OECD Members", Iso2c)) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

China, France, Germany

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("CN", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Sweden, France, Germany

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("SE", "FR", "DE")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Italy, Portugal, Spain

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("IT", "PT", "ES")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  year_to_date %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Germany, Switzerland, Netherlands

All

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("DE", "CH", "KR", "JP")) %>%
  left_join(tibble(iso2c = c("DE", "CH", "KR", "JP"),
                   Iso2c = c("Germany", "Switzerland", "South Korea", "Japan")),
            by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

1995-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("DE", "CH", "KR", "JP")) %>%
  left_join(tibble(iso2c = c("DE", "CH", "KR", "JP"),
                   Iso2c = c("Germany", "Switzerland", "South Korea", "Japan")),
            by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Italy, Portugal, Spain, Greece, France

All

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("IT", "PT", "ES", "GR", "FR")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = MS.MIL.XPND.GD.ZS/100, color = Iso2c)) + 
  theme_minimal() +
  scale_color_manual(values = c("#002395", "#0D5EAF", "#009246", "#FF0000", "#FFC400")) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2007-01-01")) %>%
               mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Iso2c)), ".png")),
             aes(x = date, y = MS.MIL.XPND.GD.ZS/100, image = image), asp = 1.5) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Military expenditure (% of GDP)")

1995-

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("IT", "PT", "ES", "GR", "FR")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(date >= as.Date("1995-01-01")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = MS.MIL.XPND.GD.ZS/100, color = Iso2c)) + 
  theme_minimal() +
  scale_color_manual(values = c("#002395", "#0D5EAF", "#009246", "#FF0000", "#FFC400")) +
  theme(legend.position = "none") + 
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  geom_image(data = . %>%
               filter(date == as.Date("2016-01-01")) %>%
               mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Iso2c)), ".png")),
             aes(x = date, y = MS.MIL.XPND.GD.ZS/100, image = image), asp = 1.5) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1)) +
  xlab("") + ylab("Military expenditure (% of GDP)")

Spain, United Kingdom, United States

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_2flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Argentina, Chile, Venezuela

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("AR", "CL", "VE")) %>%
  left_join(tibble(iso2c = c("AR", "CL", "VE"),
                   Iso2c = c("Argentina", "Chile", "Venezuela")),
            by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))

Greece, Hong Kong, Mexico

MS.MIL.XPND.GD.ZS %>%
  filter(iso2c %in% c("GR", "HK", "MX")) %>%
  left_join(iso2c, by = "iso2c") %>%
  mutate(Iso2c = ifelse(iso2c == "HK", "Hong Kong", Iso2c)) %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = MS.MIL.XPND.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Military expenditure (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
                     labels = scales::percent_format(accuracy = 1))