GDP per capita (constant 2015 USD)

Data - WDI

Author

François Geerolf

Info

Last observation: 2025 (N = 14,495)

First observation: 1960 (N = 14,495)

Last data update: 14 aoû 2026, 20:20. Last compile: 14 aoû 2026, 21:09

Info

source dataset Title Updated
wdi NY.GDP.PCAP.KD GDP per capita (constant 2015 USD) 2026-08-13

Data on macro

source dataset Title Updated
eurostat nama_10_a10 Gross value added and income by A*10 industry breakdowns 2026-08-13
eurostat nama_10_a10_e Employment by A*10 industry breakdowns 2026-08-13
eurostat nama_10_gdp GDP and main components (output, expenditure and income) 2026-08-13
eurostat nama_10_lp_ulc Labour productivity and unit labour costs 2026-08-13
eurostat namq_10_a10 Gross value added and income A*10 industry breakdowns 2026-08-13
eurostat namq_10_a10_e Employment A*10 industry breakdowns 2026-08-13
eurostat namq_10_gdp GDP and main components (output, expenditure and income) 2026-08-13
eurostat namq_10_lp_ulc Labour productivity and unit labour costs 2026-08-13
eurostat namq_10_pc Main GDP aggregates per capita 2026-08-13
eurostat nasa_10_nf_tr Non-financial transactions 2026-08-13
eurostat nasq_10_nf_tr Non-financial transactions 2026-08-13
fred gdp Gross Domestic Product 2026-08-13
oecd QNA Quarterly National Accounts 2026-08-13
oecd SNA_TABLE1 Gross domestic product (GDP) 2026-08-02
oecd SNA_TABLE14A Non-financial accounts by sectors 2026-08-02
oecd SNA_TABLE2 Disposable income and net lending - net borrowing 2026-08-02
oecd SNA_TABLE6A Value added and its components by activity, ISIC rev4 2026-08-02
wdi NE.RSB.GNFS.ZS External balance on goods and services (% of GDP) 2026-08-13
wdi NY.GDP.MKTP.CD GDP (current USD) 2026-08-13
wdi NY.GDP.MKTP.PP.CD GDP, PPP (current international D) 2026-08-13
wdi NY.GDP.PCAP.CD GDP per capita (current USD) 2026-08-13
wdi NY.GDP.PCAP.KD GDP per capita (constant 2015 USD) 2026-08-13
wdi NY.GDP.PCAP.PP.CD GDP per capita, PPP (current international D) 2026-08-13
wdi NY.GDP.PCAP.PP.KD GDP per capita, PPP (constant 2011 international D) 2026-08-13

LAST_COMPILE

LAST_COMPILE
2026-08-14

Last

Code 
NY.GDP.PCAP.KD |>
  group_by(year) |>
  summarise(Nobs = n()) |>
  arrange(desc(year)) |>
  head(1) |>
  print_table_conditional()
year Nobs
2025 233

Nobs - Javascript

Code 
NY.GDP.PCAP.KD |>
  left_join(iso2c, by = "iso2c") |>
  group_by(iso2c, Iso2c) |>
  mutate(value = round(value)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `GDP per capita (constant 2010 USD) 1` = first(value) %>% paste0("$ ", .),
            `Year 2` = last(year),
            `GDP per capita (constant 2010 USD) 2` = last(value) %>% paste0("$ ", .)) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

1990, 2019, growth 1990-2019

Code 
NY.GDP.PCAP.KD |>
  filter(year %in% c(1990, 2019)) |>
  left_join(iso2c, by = "iso2c") |>
  spread(year, value) |>
  mutate(growth = round(100*(`2019`/`1990`-1),1)) |>
  mutate(`1990` = round(`1990`),
         `2019` = round(`2019`)) |>
  arrange(-growth) |>
  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 .}

Output - Countries

Png

Code 
include_graphics3b("bib/wdi/NY.GDP.PCAP.KD_ex1.png")

United States

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1971-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = value)) +
  xlab("") + ylab("GDP per capita (constant 2010 USD)") + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = c(23670, 30000, 40000, 53748),
                     labels = dollar_format(a = 1))

Japan

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("JP")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  ggplot() + geom_line(aes(x = date, y = value)) +
  xlab("") + ylab("GDP per capita (constant 2010 USD)") + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 10000),
                     labels = dollar_format())

Iceland (1990-2020)

Code 
NY.GDP.PCAP.KD |>
  year_to_date() |>
  filter(iso2c %in% c("IS"),
         date >= as.Date("1990-01-01")) |>
  left_join(iso2c, by = "iso2c") |>
  ggplot() + geom_line(aes(x = date, y = value)) +
  xlab("") + ylab("GDP per capita (constant 2010 USD)") + theme_minimal() +
  theme(legend.title = element_blank(),
        legend.position = c(0.2, 0.2)) +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200000, 2000),
                     labels = dollar_format())

Euro Area vs. US

Base 100

Code 
NY.GDP.PCAP.KD |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(iso2c %in% c("XC", "US"),
         date >= as.Date("2008-01-01")) |>
  group_by(iso2c) |>
  arrange(date) |>
  mutate(value = 100*value/value[1]) |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "US", color2, color)) |>
  ggplot() + theme_minimal() + scale_color_identity() +
  geom_line(aes(x = date, y = value, color = color)) +
  add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(70, 200, 5)) + 
  xlab("") + ylab("PIB/habitant en $ (100 = 2008)")

Avec dollars

Code 
NY.GDP.PCAP.KD |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(iso2c %in% c("XC", "US"),
         date >= as.Date("2008-01-01")) |>
  group_by(iso2c) |>
  arrange(date) |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "US", color2, color)) |>
  ungroup() |>
  mutate(dollar = value,
         value = 100*value/value[2]) |>
  ggplot() + theme_minimal() + scale_color_identity() +
  geom_line(aes(x = date, y = value, color = color)) +
  add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(10, 200, 5)) + 
  xlab("") + ylab("PIB/habitant en $ (100 = Zone Euro, 2008)") + 
  geom_text_repel(data = . %>% filter(year(date) %in% seq(2008, 2022, 2)),
                                      aes(x = date, y = value, label = paste0("$", round(dollar, digits = -2), " /hab")))

Euro area vs. US vs. France

Linear

Code 
iso2c <- read_parquet("iso2c2.parquet")
NY.GDP.PCAP.KD |>
  # XC: Euro area
  filter(iso2c %in% c("US", "XC", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "XC", color2, color)) |>
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Base 100 = 1960

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "XC", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "XC", color2, color)) |>
  group_by(iso2c, Iso2c) |>
  arrange(date) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + xlab("") + ylab("GDP per capita, 100 = 1960") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks =c(100, 200, 400, 800, 1000, 2000, 4000, 8000, 10000, 20000))

Base 100 = 1990

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "XC", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "XC", color2, color)) |>
  group_by(iso2c, Iso2c) |>
  arrange(date) |>
  filter(date >= as.Date("1990-01-01")) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + xlab("") + ylab("GDP per capita, 100 = 1990") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(100, 400, 10))

Base 100 = 2006

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "XC", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "XC", color2, color)) |>
  group_by(iso2c, Iso2c) |>
  arrange(date) |>
  filter(date >= as.Date("2006-01-01")) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + xlab("") + ylab("GDP per capita, 100 = 2006") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(10, 400, 5))

Base 100 = 2007

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "XC", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "XC", color2, color)) |>
  group_by(iso2c, Iso2c) |>
  arrange(date) |>
  filter(date >= as.Date("2007-01-01")) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + xlab("") + ylab("GDP per capita, 100 = 2007") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(10, 400, 5))

Base 100 = 2008

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "XC", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "XC", "Europe", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  mutate(color = ifelse(iso2c == "XC", color2, color)) |>
  group_by(iso2c, Iso2c) |>
  arrange(date) |>
  filter(date >= as.Date("2008-01-01")) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + xlab("") + ylab("GDP per capita, 100 = 2008") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(10, 400, 5))

Switzerland, France, Germany

Linear

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("CH", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("CH", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  filter(date >= as.Date("1980-01-01")) |>
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(10000, 90000, 10000),
                labels = dollar_format(acc = 1))

China, France, Germany

Linear

Code 
iso2c <- read_parquet("iso2c.parquet")
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("CN", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("CN", "FR", "DE")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = c(100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000, 100000),
                labels = dollar_format(acc = 1))

Spain, Italy, France, Germany, United States

Log

All

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "FR", "DE", "IT", "US")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(5000, 50000, 5000),
                labels = dollar_format(acc = 1))

1990-

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "FR", "DE", "IT", "US")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1990-01-01")) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(5000, 50000, 5000),
                labels = dollar_format(acc = 1))

Spain, Italy, France, Germany

Linear

Code 
iso2c <- read_parquet("iso2c.parquet")
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "FR", "DE", "IT")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

All

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "FR", "DE", "IT")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(5000, 50000, 5000),
                labels = dollar_format(acc = 1))

1990-

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "FR", "DE", "IT")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  filter(date >= as.Date("1990-01-01")) |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(5000, 50000, 5000),
                labels = dollar_format(acc = 1))

Poland, Portugal, Spain

Linear

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("PL", "CZ", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("PL", "CZ", "FR")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Italy, Portugal, Spain

Linear

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "IT", "PT")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("ES", "IT", "PT")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Spain, United Kingdom, United States

Linear

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "GB", "ES")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("US", "GB", "ES")) |>
  left_join(iso2c, by = "iso2c") |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Argentina, Chile, Venezuela

Linear

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("AR", "CL", "VE")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 2000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("AR", "CL", "VE")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 1000),
                labels = dollar_format(acc = 1))

Argentina

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("AR")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 1000),
                labels = dollar_format(acc = 1))

Argentina, Zimbabwe, Cuba

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("AR", "ZW", "CU")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 1000),
                labels = dollar_format(acc = 1))

Base 100

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("AR", "ZW", "CU")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "VE", "Venezuela", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  group_by(iso2c) |>
  mutate(value = 100*value/value[date == as.Date("1970-01-01")]) |>
  filter(date >= as.Date("1970-01-01")) |>
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(40, 2000, 20))

Greece, Hong Kong, Mexico

Linear

Code 
NY.GDP.PCAP.KD |>
  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")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  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")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Singapore, South Korea, Mexico

Linear

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("KR", "SG", "CH")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "KR", "Korea", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 80000, 5000),
                labels = dollar_format(acc = 1))

Log

Code 
NY.GDP.PCAP.KD |>
  filter(iso2c %in% c("KR", "SG", "CH")) |>
  left_join(iso2c, by = "iso2c") |>
  mutate(Iso2c = ifelse(iso2c == "KR", "Korea", Iso2c)) |>
  year_to_date() |>
  left_join(colors, by = c("Iso2c" = "country")) |>
  
  ggplot() + xlab("") + ylab("GDP per capita") +
  geom_line(aes(x = date, y = value, color = color)) + 
  theme_minimal() + scale_color_identity() + add_flags +
  scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = c(1000, 2000, 3000, 5000, 8000, seq(0, 80000, 10000)),
                labels = dollar_format(acc = 1))