Current account balance (% of GDP)

Data - WDI

Author

François Geerolf

Info

source dataset Title .html .rData
wdi NE.RSB.GNFS.ZS External balance on goods and services (% of GDP) 2025-10-02 2025-09-27
wdi BN.CAB.XOKA.GD.ZS Current account balance (% of GDP) 2025-10-02 2025-09-27

Data on main macro

source dataset Title .html .rData
eurostat nama_10_a10 Gross value added and income by A*10 industry breakdowns 2025-10-01 2025-09-26
eurostat nama_10_a10_e Employment by A*10 industry breakdowns 2025-10-01 2025-09-26
eurostat nama_10_gdp GDP and main components (output, expenditure and income) 2025-10-01 2025-09-26
eurostat nama_10_lp_ulc Labour productivity and unit labour costs 2025-10-01 2025-09-26
eurostat namq_10_a10 Gross value added and income A*10 industry breakdowns 2025-10-01 2025-09-26
eurostat namq_10_a10_e Employment A*10 industry breakdowns 2025-05-24 2025-09-26
eurostat namq_10_gdp GDP and main components (output, expenditure and income) 2025-10-01 2025-09-26
eurostat namq_10_lp_ulc Labour productivity and unit labour costs 2025-10-01 2025-09-26
eurostat namq_10_pc Main GDP aggregates per capita 2025-10-01 2025-09-26
eurostat nasa_10_nf_tr Non-financial transactions 2025-10-01 2025-09-26
eurostat nasq_10_nf_tr Non-financial transactions 2025-10-01 2025-09-26
fred gdp Gross Domestic Product 2025-10-02 2025-10-01
oecd QNA Quarterly National Accounts 2024-06-06 2025-05-24
oecd SNA_TABLE1 Gross domestic product (GDP) 2025-09-29 2025-05-24
oecd SNA_TABLE14A Non-financial accounts by sectors 2025-09-29 2024-06-30
oecd SNA_TABLE2 Disposable income and net lending - net borrowing 2024-07-01 2024-04-11
oecd SNA_TABLE6A Value added and its components by activity, ISIC rev4 2024-07-01 2024-06-30
wdi NE.RSB.GNFS.ZS External balance on goods and services (% of GDP) 2025-10-02 2025-09-27
wdi NY.GDP.MKTP.CD GDP (current USD) 2025-10-02 2025-09-27
wdi NY.GDP.MKTP.PP.CD GDP, PPP (current international D) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.CD GDP per capita (current USD) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.KD GDP per capita (constant 2015 USD) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.PP.CD GDP per capita, PPP (current international D) 2025-10-02 2025-09-27
wdi NY.GDP.PCAP.PP.KD GDP per capita, PPP (constant 2011 international D) 2025-10-02 2025-09-27

LAST_COMPILE

LAST_COMPILE
2025-10-10

Last

Code 
BN.CAB.XOKA.GD.ZS %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()
year Nobs
2024 112

Frugal Four

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("SE", "AT", "NL","DK")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Nobs - Javascript

Code 
BN.CAB.XOKA.GD.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  mutate(value = round(value, 2)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `CA 1 (%)` = first(value),
            `Year 2` = last(year),
            `CA 2 (%)` = last(value)) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Crises in Emerging Markets (Source: Vegh (2013))

1982: Southern Cone - Argentina, Chile, Uruguay

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("AR", "CL", "UY"),
            date <= as.Date("1986-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1994: Mexico

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("MX"),
         date >= as.Date("1989-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1995: Hungary

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("HU"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1997: Russia

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("RU"),
         date <= as.Date("2002-01-01"),
         date >= as.Date("1980-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100, color = Iso2c, linetype = Iso2c)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1997: East Asia - Indonesia, Korea, Malaysia, Thailand

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("ID", "KR", "MY", "TH"),
         date <= as.Date("2002-01-01"),
         date >= as.Date("1992-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100,
         Iso2c = ifelse(iso2c == "KR", "South Korea", Iso2c)) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2001: Turkey

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("TR"),
         date <= as.Date("2006-01-01"),
         date >= as.Date("1996-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2002: Uruguay Crisis

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("UY"),
         date <= as.Date("2006-01-01"),
         date >= as.Date("1996-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Israel

All

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IL")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2000-

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IL"),
         date >= as.Date("2000-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

2010-

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IL"),
         date >= as.Date("2010-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 1) %>% 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Lebanon

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("LB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Vietnam

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("VN"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Russia

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("RU"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Iceland

Code 
BN.CAB.XOKA.GD.ZS %>%
  year_to_date %>%
  filter(iso2c %in% c("IS"),
         date >= as.Date("1995-01-01")) %>%
  left_join(iso2c, by = "iso2c") %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value/100)) + 
  theme_minimal() + scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.8)) +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Lebanon, Greece

French

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("LB", "GR")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_2flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Costa Rica, Philippines

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("CR", "PH")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_2flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

France, Germany, Italy

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

United States, Europe

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("US", "U2")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100,
         Iso2c = ifelse(iso2c == "U2", "Europe", Iso2c)) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_2flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

France, Germany, Italy, China

All

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE", "CN")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

1982-

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("IT", "FR", "DE", "CN")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  filter(date >= as.Date("1982-01-01")) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Saudi Arabia, Jordan, Kuwait

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("SA", "JO", "KW")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(color = ifelse(iso2c == "KW", color2, color)) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
                     labels = scales::percent_format(accuracy = 1),
                     limits = c(-0.25, 0.6)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Canada, Israel, The Netherlands

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("CA", "IL", "NL")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")

Argentina, Chile, Uruguay

Code 
BN.CAB.XOKA.GD.ZS %>%
  filter(iso2c %in% c("AR", "CL", "UY")) %>%
  year_to_date %>%
  left_join(iso2c, by = "iso2c") %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = value/100) %>%
  ggplot(.) + 
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1950, 2100, 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)) +
  xlab("") + ylab("Current Account (% of GDP)") + 
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black")