HISTPOP - Historical Population

Data - OECD

Author

François Geerolf

SEX

Code 
HISTPOP %>%
  left_join(HISTPOP_var$SEX, by = "SEX") %>%
  group_by(SEX, Sex) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional
SEX Sex Nobs
M Men 126728
T Total 126728
W Women 126728

AGE

Code 
HISTPOP %>%
  left_join(HISTPOP_var$AGE, by = "AGE") %>%
  group_by(AGE, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

LOCATION

Code 
HISTPOP %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  group_by(LOCATION, Location) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Location))),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

obsTime

Code 
HISTPOP %>%
  group_by(obsTime) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(obsTime)) %>%
  print_table_conditional

Old Age Dependancy Ratio - OAD20-64

France, Germany, Italy

Code 
HISTPOP %>%
  filter(LOCATION == c("FRA", "DEU", "ITA"),
         SEX == "T",
         AGE %in% c("OAD20-64")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Old Age Dependancy Ratio") +
  geom_line(aes(x = date, y = obsValue, color = Location)) + 
  scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 5),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.7, 0.80),
        legend.title = element_blank())

United Kingdom, United States, New Zealand

Code 
HISTPOP %>%
  filter(LOCATION == c("USA", "GBR", "NZL"),
         SEX == "T",
         AGE %in% c("OAD20-64")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Old Age Dependancy Ratio") +
  geom_line(aes(x = date, y = obsValue, color = Location)) + 
  scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.7, 0.80),
        legend.title = element_blank())

Share of 15 to 64 - working age - 15-64_SHARE

France, Germany, Italy

Code 
HISTPOP %>%
  filter(LOCATION == c("FRA", "DEU", "ITA"),
         SEX == "T",
         AGE %in% c("15-64_SHARE")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Old Age Dependancy Ratio") +
  geom_line(aes(x = date, y = obsValue/100, color = Location)) + 
  scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.9, 0.80),
        legend.title = element_blank())

United Kingdom, United States, New Zealand

Code 
HISTPOP %>%
  filter(LOCATION == c("USA", "GBR", "NZL"),
         SEX == "T",
         AGE %in% c("15-64_SHARE")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Old Age Dependancy Ratio") +
  geom_line(aes(x = date, y = obsValue/100, color = Location)) + 
  scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.8, 0.2),
        legend.title = element_blank())

Share of 15 to 24 - youth - 15-24_SHARE

France, Germany, Italy

Code 
HISTPOP %>%
  filter(LOCATION == c("FRA", "DEU", "ITA"),
         SEX == "T",
         AGE %in% c("15-24_SHARE")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Share of 15 to 24 - youth") +
  geom_line(aes(x = date, y = obsValue/100, color = Location)) + 
  scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.9, 0.80),
        legend.title = element_blank())

United Kingdom, United States, New Zealand

Code 
HISTPOP %>%
  filter(LOCATION == c("USA", "GBR", "NZL"),
         SEX == "T",
         AGE %in% c("15-24_SHARE")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Share of 15 to 24 - youth") +
  geom_line(aes(x = date, y = obsValue/100, color = Location)) + 
  scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.8, 0.8),
        legend.title = element_blank())

Share of under 15 - children - LESS_15_SHARE

France, Germany, Italy

Code 
HISTPOP %>%
  filter(LOCATION == c("FRA", "DEU", "ITA"),
         SEX == "T",
         AGE %in% c("LESS_15_SHARE")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Share of under 15 - children") +
  geom_line(aes(x = date, y = obsValue/100, color = Location)) + 
  scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.9, 0.80),
        legend.title = element_blank())

United Kingdom, United States, New Zealand

Code 
HISTPOP %>%
  filter(LOCATION == c("USA", "GBR", "NZL"),
         SEX == "T",
         AGE %in% c("LESS_15_SHARE")) %>%
  left_join(HISTPOP_var$LOCATION, by = "LOCATION") %>%
  year_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Share of under 15 - children") +
  geom_line(aes(x = date, y = obsValue/100, color = Location)) + 
  scale_x_date(breaks = seq(1940, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 100, 1),
                     labels = percent_format(acc = 1)) +
  
  theme(legend.position = c(0.8, 0.8),
        legend.title = element_blank())