2020 U.S. Manufacturing industries

Manufacturers’ New Orders: Total Manufacturing (UMTMNO)

indicator <-fredr_series_observations(series_id = "UMTMNO",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
      geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+geom_line(mapping = aes(x=date,y=value), 
                              color = "red4") +
  labs(title = "Manufacturers' New Orders: Total Manufacturing (UMTMNO)", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
      caption = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
   
     hc_title(text = "Manufacturers' New Orders: Total Manufacturing (UMTMNO)",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Millions of Dollars")) %>%
   hc_add_theme(hc_theme_economist())

## Warning: `parse_quosure()` is deprecated as of rlang 0.2.0.
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Manufacturers’ New Orders: Durable Goods (UMDMNO)

indicator <-fredr_series_observations(series_id = "UMDMNO",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
      geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+geom_line(mapping = aes(x=date,y=value), 
                              color = "red4") +
  labs(title = "Manufacturers' New Orders: Durable Goods (UMDMNO)", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
      caption = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
   
     hc_title(text = "Manufacturers' New Orders: Durable Goods (UMDMNO)",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED St. Louis Federal Reserve\n Illustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Millions of Dollars")) %>%
   hc_add_theme(hc_theme_economist())

Manufacturers’ New Orders: Consumer Durable Goods (ACDGNO)

indicator <-fredr_series_observations(series_id = "ACDGNO",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), 
                              color = "red4") +
  labs(title = "Manufacturers' New Orders: Consumer Durable Goods", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
      caption = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
   
     hc_title(text = "Manufacturers' New Orders: Consumer Durable Goods",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Millions of Dollars")) %>%
   hc_add_theme(hc_theme_economist())

Manufacturers’ New Orders: Durable Goods (DGORDER)

indicator <-fredr_series_observations(series_id = "DGORDER",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), color = "red4") +
  labs(title = "Manufacturers' New Orders: Durable Goods", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Millions of Dollars",
      caption = "Source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
   
     hc_title(text = "Manufacturers' New Orders: Durable Goods",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED Federal Reserve\nIllustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Millions of Dollars")) %>%
   hc_add_theme(hc_theme_economist())

Capacity Utilization: Manufacturing (NAICS) (MCUMFN)

indicator <-fredr_series_observations(series_id = "MCUMFN",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), 
                              color = "red4") +
  labs(title = "Capacity Utilization: Manufacturing", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Percent of Capacity",
       caption = "Source: FRED Federal Reserve _ Illustration by @JoeLongSanDiego")+
   
    theme_economist()

indicator%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
   
     hc_title(text = "Capacity Utilization: Manufacturing",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED Federal Reserve _ Illustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Percent of Capacity")) %>%
   hc_add_theme(hc_theme_economist())

Manufacturers: Inventories to Sales Ratio (MNFCTRIRSA)

indicator <-fredr_series_observations(series_id = "MNFCTRIRSA",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), 
                              color = "red4") +
  labs(title = "Manufacturers: Inventories to Sales Ratio", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Ratio",
      caption = "Source: FRED Federal Reserve _ Illustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
   
     hc_title(text = "Manufacturers: Inventories to Sales Ratio",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED Federal Reserve _ Illustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Ratio")) %>%
   hc_add_theme(hc_theme_economist())

Industrial Production: Manufacturing (NAICS) (IPMAN)

indicator <-fredr_series_observations(series_id = "IPMAN",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), 
                              color = "green4") +
  labs(title = "Industrial Production: Manufacturing", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Index 2012=100",
      caption = "Source: FRED Federal Reserve _ Illustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
    
     hc_title(text = "Industrial Production: Manufacturing",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED St. Louis Federal Reserve\n Illustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Index 2012=100")) %>%
   hc_add_theme(hc_theme_economist())

## Producer Price Index by Industry: Food Manufacturing (PCU311311)

indicator <-fredr_series_observations(series_id = "PCU311311",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), 
                              color = "blue4") +
  labs(title = "Wholesale Price Index: Food Manufacturing", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Index Dec 1984=100",
      caption = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
  
     hc_title(text = "Wholesale Price Index: Food Manufacturing",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Index Dec 1984=100")) %>%
   hc_add_theme(hc_theme_economist())

Capacity Utilization: Durable Manufacturing: Iron and steel products (CAPUTLG3311A2S)

indicator <-fredr_series_observations(series_id = "CAPUTLG3311A2S",
        observation_start = as.Date("2010-01-01")) 

# plotting data
indicator %>% ggplot() + 
   geom_rect(aes(xmin= dmy('01-01-2020'), xmax=dmy('01-12-2020'), ymin = -Inf, ymax = Inf),
                   fill = "white", alpha = 0.04)+
  geom_line(mapping = aes(x=date,y=value), 
                              color = "blue4") +
  labs(title = "Capacity Utilization: Iron and steel products", 
       subtitle = str_glue("Monthly from {min(indicator$date)} through {max(indicator$date)}"),
       x="Monthly", y="Percent of Capacity",
      caption = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego")+
    theme_economist()

tail(indicator,n=24)%>%
    hchart( type = "column",hcaes(x = date, y = value)) %>% hc_colors("steelblue") %>%
    
     hc_title(text = "Capacity Utilization: Iron and steel products",
             style = list(fontWeight = "bold", fontSize = "20px"),
             align = "center")  %>%
  hc_credits(enabled = TRUE,text = "Source: FRED St. Louis Federal Reserve\nIllustration by @JoeLongSanDiego") %>%
   hc_yAxis(title = list(text = "Percent of Capacity")) %>%
   hc_add_theme(hc_theme_economist())