Retail Sales: Grocery Stores (MRTSSM4451USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

Suggested Citation: U.S. Census Bureau, Retail Sales: Grocery Stores [MRTSSM4451USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM4451USS, August 24, 2020.

Retail Sales: Beer, Wine, and Liquor Stores (MRTSSM4453USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

Information about the Monthly Retail Trade Survey can be found on the Census website at https://www.census.gov/retail/mrts/about_the_surveys.html

Suggested Citation: U.S. Census Bureau, Retail Sales: Beer, Wine, and Liquor Stores [MRTSSM4453USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM4453USS, August 24, 2020.

Retail Sales: Pharmacies and Drug Stores (MRTSSM44611USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

Suggested Citation: U.S. Census Bureau, Retail Sales: Pharmacies and Drug Stores [MRTSSM44611USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM44611USS, August 24, 2020.

Retail Sales: Men’s Clothing Stores (MRTSSM44811USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

Information about the Monthly Retail Trade Survey can be found on the Census website at https://www.census.gov/retail/mrts/about_the_surveys.html

Suggested Citation: U.S. Census Bureau, Retail Sales: Men’s Clothing Stores [MRTSSM44811USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM44811USS, August 24, 2020.

Retail Sales: Sporting Goods, Hobby, Book, and Music Stores (MRTSSM451USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

The most recent month’s value of the advance estimate based on data from a subsample of firms from the larger Monthly Retail Trade Survey is available at https://fred.stlouisfed.org/series/RSSGHBMS

Information about the Monthly Retail Trade Survey can be found on the Census website at https://www.census.gov/retail/mrts/about_the_surveys.html

Suggested Citation: U.S. Census Bureau, Retail Sales: Sporting Goods, Hobby, Book, and Music Stores [MRTSSM451USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM451USS, August 24, 2020.

Retail Sales: Warehouse Clubs and Superstores (MRTSSM45291USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

Information about the Monthly Retail Trade Survey can be found on the Census website at https://www.census.gov/retail/mrts/about_the_surveys.html

Suggested Citation: U.S. Census Bureau, Retail Sales: Warehouse Clubs and Superstores [MRTSSM45291USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM45291USS, August 24, 2020.

Retail Sales: Electronic Shopping and Mail-order Houses (MRTSSM4541USS) Source: U.S. Census Bureau Release: Monthly Retail Trade and Food Services
Units: Millions of Dollars, Seasonally Adjusted

Frequency: Monthly

Information about the Monthly Retail Trade Survey can be found on the Census website at https://www.census.gov/retail/mrts/about_the_surveys.html

Suggested Citation: U.S. Census Bureau, Retail Sales: Electronic Shopping and Mail-order Houses [MRTSSM4541USS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MRTSSM4541USS, August 24, 2020.

Most recently updated on September 16, 2020

# Retail Sales: Gasoline Stations (MRTSSM447USN)
indicator <-fredr_series_observations(series_id = "MRTSSM447USN", 
      observation_start = as.Date("2019-01-01"))

indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-11-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Gasoline Retail Stations", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve \n Illustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Department Stores (MRTSSM4521EUSN)
indicator <-fredr_series_observations(series_id = "MRTSSM4521EUSN", 
      observation_start = as.Date("2019-01-01"))

indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-09-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = " Department Stores _ Retail sales", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

#  Retail Sales: New Car Dealers (MRTSSM44111USN)
indicator <-fredr_series_observations(series_id = "MRTSSM44111USN", 
      observation_start = as.Date("2019-01-01"))

indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-09-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "New car sales at dealerships", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Used Car Dealers (MRTSSM44112USN)
indicator <-fredr_series_observations(series_id = "MRTSSM44112USN", 
      observation_start = as.Date("2019-01-01"))

indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-09-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Used car sales at dealerships", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Retail and Food Services, Total (MRTSSM44X72USS)

indicator <-fredr_series_observations(series_id = "MRTSSM44X72USS", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+

  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Retail and Food Services", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Beer, Wine, and Liquor Stores (MRTSSM4453USN)


indicator <-fredr_series_observations(series_id = "MRTSSM4453USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+

  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Beer, Wine, and Liquor Stores", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Restaurants and Other Eating Places (MRTSSM7225USN)


indicator <-fredr_series_observations(series_id = "MRTSSM7225USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+

  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Restaurants and Other Eating Places", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Grocery Stores (MRTSSM4451USS)


indicator <-fredr_series_observations(series_id = "MRTSSM4451USS", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Grocery Stores", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve \nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Furniture and Home Furnishings Stores (MRTSSM442USN)


indicator <-fredr_series_observations(series_id = "MRTSSM442USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Furniture and Home Furnishings Stores", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve \nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Clothing Stores (MRTSSM4481USN)


indicator <-fredr_series_observations(series_id = "MRTSSM4481USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Clothing Stores", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve \nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Sporting Goods Stores (MRTSSM45111USN)


indicator <-fredr_series_observations(series_id = "MRTSSM45111USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Sporting Goods Retail Stores", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve \nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Food Services and Drinking Places (MRTSSM722USN)

indicator <-fredr_series_observations(series_id = "MRTSSM45111USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Food Services and Drinking Places", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Limited Service Eating Places (MRTSSM7222USN)

indicator <-fredr_series_observations(series_id = "MRTSSM45111USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Limited Service Eating Places", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Supermarkets and Other Grocery (Except Convenience) Stores (MRTSSM44511USN)

indicator <-fredr_series_observations(series_id = "MRTSSM44511USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Supermarkets and Other Grocery (Except Convenience)", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

# Retail Sales: Building Materials, Garden Equipment and Supplies Dealers (MRTSSM444USN)


indicator <-fredr_series_observations(series_id = "MRTSSM444USN", 
      observation_start = as.Date("2019-01-01"))
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-08-2020'), ymin = -Inf, ymax = Inf),
                   fill = "grey", alpha = 0.03)+
  geom_line(mapping = aes(x=date,y=value),color="red",size=1)  +
      labs(title = "Building Materials, Garden Equipment and Supplies Dealers", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

#------------------------
symbol1 <-fredr_series_observations(series_id = "MRTSSM4451USS", 
      observation_start = as.Date("2019-01-01"))
indicator1 <-as.data.frame(symbol1)[,c(1,3)]
symbol2 <-fredr_series_observations(series_id = "MRTSSM4453USS", 
      observation_start = as.Date("2019-01-01"))
indicator2 <-as.data.frame(symbol2)[,c(1,3)]

indicator <-full_join(symbol1,symbol2, by="date")
indicator <- indicator[,c(1,3,5)]
colnames(indicator) <- c("date","Grocery_Store","Liquor_Store")

#------------------------
indicator %>% kable() %>%
  kable_styling(bootstrap_options = c("striped", "hover", "condensed")) %>%
   column_spec(2, T, color = "red" ) %>%
   column_spec(3, T, color = "blue" )
date Grocery_Store Liquor_Store
2019-01-01 56660 4898
2019-02-01 55248 4906
2019-03-01 56334 4945
2019-04-01 56502 4925
2019-05-01 56622 4922
2019-06-01 57005 4976
2019-07-01 57692 4995
2019-08-01 57701 5024
2019-09-01 57220 5005
2019-10-01 57201 4983
2019-11-01 57438 5040
2019-12-01 57622 5065
2020-01-01 57495 5114
2020-02-01 57337 5145
2020-03-01 73714 6021
2020-04-01 63869 5573
2020-05-01 64667 6051
2020-06-01 63454 6054
2020-07-01 63768 5997
2020-08-01 62660 6128 
chart <- indicator %>% ggplot() + 
  geom_line(mapping = aes(x=date,y=Grocery_Store),color="red",size=1)  +
  geom_line(mapping = aes(x=date,y=Liquor_Store),color="blue",size=1)  +
     labs(title = "Food and Belverages at Retail Store", 
          subtitle = str_glue("From {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
       caption = "Data source: FRED Philadelphia Federal Reserve.     Illustration by @JoeLongSanDiego")+
    theme_economist()

chart + geom_text(aes(x = max(date),y=last(Grocery_Store),label="Grocery_Store"))+
        geom_text(aes(x = max(date),y=last(Liquor_Store),label="Beer/Wine/Liquor_Story"))