Inflation, consumer prices (annual %)

Data - WDI

~/data/wdi/

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source	dataset	Title	Download	Compile
wdi	FP.CPI.TOTL.ZG	Inflation, consumer prices (annual %)	2023-01-14	2022-11-22
wdi	NY.GDP.DEFL.KD.ZG	Inflation, GDP deflator (annual %) - NY.GDP.DEFL.KD.ZG	2023-01-14	2023-01-15
insee	IPC-2015	Indice des prix à la consommation - Base 2015	2023-01-13	2023-01-15
insee	IPCH-2015	Indices des prix à la consommation harmonisés	2023-01-13	2023-01-14
eurostat	prc_hicp_manr	HICP (2015 = 100) - monthly data (annual rate of change)	2023-01-06	2023-01-06
eurostat	prc_hicp_midx	HICP (2015 = 100) - monthly data (index) - prc_hicp_midx	2023-01-06	2022-08-25
oecd	MEI_PRICES_PPI	Producer Prices - MEI_PRICES_PPI	2022-11-25	2022-11-28
oecd	PRICES_CPI	Consumer price indices (CPIs) - PRICES_CPI	2022-12-19	2022-12-23
bis	CPI	Consumer Price Index - CPI	2022-01-20	2022-11-21

LAST_COMPILE

LAST_COMPILE
2023-01-15

Last

FP.CPI.TOTL.ZG %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  head(1) %>%
  print_table_conditional()

year	Nobs
2020	217

Nobs - Javascript

FP.CPI.TOTL.ZG %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  rename(value = `FP.CPI.TOTL.ZG`) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `Inflation 1` = round(first(value), 2) %>% paste0(" %"),
            `Year 2` = last(year),
            `Inflation 2` = round(last(value), 2) %>% paste0(" %")) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Periods of Low Inflation

FP.CPI.TOTL.ZG %>%
  filter(`FP.CPI.TOTL.ZG` < 0) %>%
  arrange(`FP.CPI.TOTL.ZG`) %>%
  mutate(`FP.CPI.TOTL.ZG` = round(`FP.CPI.TOTL.ZG`, 2)) %>%
  left_join(iso2c, by = "iso2c") %>%
  select(iso2c, Iso2c, year, `FP.CPI.TOTL.ZG`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Israel

All

data %>%
  left_join(INDICATOR) %>%
  year_to_date() %>%
  filter(iso2c == "IS") %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Inflation (%)") +
  geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.65, 0.85)) +
  scale_x_date(breaks = seq(1900, 2020, 5) %>% 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 = "black")

1993-

data %>%
  left_join(INDICATOR) %>%
  year_to_date() %>%
  filter(iso2c == "IS",
         date >= as.Date("1993-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Inflation (%)") +
  geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.25, 0.85)) +
  scale_x_date(breaks = seq(1900, 2020, 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")

1990-2000

FP.CPI.TOTL.ZG %>%
  year_to_date() %>%
  filter(iso2c == "IS",
         date >= as.Date("1990-01-01"),
         date <= as.Date("2000-01-01")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = FP.CPI.TOTL.ZG/100) + xlab("") + ylab("Inflation (%)") +
  scale_x_date(breaks = seq(1900, 2020, 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")

Hungary

All

data %>%
  left_join(INDICATOR) %>%
  year_to_date() %>%
  filter(iso2c == "HU") %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Inflation (%)") +
  geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.65, 0.85)) +
  scale_x_date(breaks = seq(1900, 2020, 5) %>% 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 = "black")

1993-

data %>%
  left_join(INDICATOR) %>%
  year_to_date() %>%
  filter(iso2c == "HU",
         date >= as.Date("1993-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Inflation (%)") +
  geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.55, 0.85)) +
  scale_x_date(breaks = seq(1900, 2020, 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")

South Korea

All

data %>%
  left_join(INDICATOR) %>%
  year_to_date() %>%
  filter(iso2c == "KR") %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Inflation (%)") +
  geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.65, 0.85)) +
  scale_x_date(breaks = seq(1900, 2020, 5) %>% 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 = "black")

1993-

data %>%
  left_join(INDICATOR) %>%
  year_to_date() %>%
  filter(iso2c == "KR",
         date >= as.Date("1993-01-01")) %>%
  ggplot(.) + theme_minimal() + xlab("") + ylab("Inflation (%)") +
  geom_line(aes(x = date, y = value/100, linetype = Indicator, color = Indicator)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme(legend.title = element_blank(),
        legend.position = c(0.55, 0.85)) +
  scale_x_date(breaks = seq(1900, 2020, 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")

Mexico

All

FP.CPI.TOTL.ZG %>%
  year_to_date() %>%
  filter(iso2c == "MX") %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = FP.CPI.TOTL.ZG/100) + xlab("") + ylab("Inflation (%)") +
  scale_x_date(breaks = seq(1900, 2020, 10) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 10000, 10),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

1990-2000

FP.CPI.TOTL.ZG %>%
  year_to_date() %>%
  filter(iso2c == "MX",
         date >= as.Date("1990-01-01"),
         date <= as.Date("2000-01-01")) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = FP.CPI.TOTL.ZG/100) + xlab("") + ylab("Inflation (%)") +
  scale_x_date(breaks = seq(1900, 2020, 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")

Sri Lanka, Nigeria, Pakistan

All

FP.CPI.TOTL.ZG %>%
  filter(iso2c %in% c("LK", "NG", "PK")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = FP.CPI.TOTL.ZG/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Inflation, consumer prices") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1900, 2020, 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")

2000-

FP.CPI.TOTL.ZG %>%
  filter(iso2c %in% c("LK", "NG", "PK")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  filter(date >+ as.Date("2000-01-01")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = FP.CPI.TOTL.ZG/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Inflation, consumer prices") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1900, 2020, 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 = "grey")

France, Italy, Germany

FP.CPI.TOTL.ZG %>%
  filter(iso2c %in% c("FR", "DE", "IT")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = FP.CPI.TOTL.ZG/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Inflation, consumer prices") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1900, 2020, 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")

France, Italy, Germany, Spain, Portugal

FP.CPI.TOTL.ZG %>%
  filter(iso2c %in% c("FR", "DE", "IT", "ES", "PT")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = FP.CPI.TOTL.ZG/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Inflation, consumer prices") +
  theme_minimal() + scale_color_identity() + add_5flags +
  scale_x_date(breaks = seq(1900, 2025, 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")

Denmark, Netherlands, Sweden

FP.CPI.TOTL.ZG %>%
  filter(iso2c %in% c("DK", "SE", "NL")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = FP.CPI.TOTL.ZG/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Inflation, consumer prices") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1900, 2020, 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

FP.CPI.TOTL.ZG %>%
  filter(iso2c %in% c("JP", "US", "GB")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date() %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = FP.CPI.TOTL.ZG/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Inflation, consumer prices") +
  theme_minimal() + scale_color_identity() + add_3flags +
  scale_x_date(breaks = seq(1900, 2020, 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")

China

FP.CPI.TOTL.ZG %>%
  filter(iso2c == "CN") %>%
  year_to_date() %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = FP.CPI.TOTL.ZG/100) + xlab("") + ylab("Inflation") +
  scale_x_date(breaks = seq(1900, 2020, 5) %>% 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")