Paying for the place where you live—categorized as “shelter” in the consumer price index—amounts to 36% of the overall cost of goods and services purchased by an average urban household during a month. However, putting a roof over your head also involves paying for creature comforts such as heating and cooling, utilities, furniture, appliances, and operations. Together, those expenses amount to an additional 9% of the overall consumer price index. Today we look at recent housing inflation for both shelter and making that shelter habitable.

The FRED graph above shows consumer price index (CPI) data on housing expenses organized in four categories:

• Shelter (dashed blue line) includes rent, owner’s equivalent rent of residences, lodging away from home, and home insurance.
• Services (red line) includes water, sewer, and trash collection.
• Furnishings and operations (green line) includes furniture, appliances, housekeeping supplies, and a variety of items and services.
• Energy (purple line) includes fuel oil, gas, and electricity.

We customized all the data to have a value of 100 in April 2020, the end of the COVID-19-induced recession, to facilitate the analysis of housing costs over time. The data plot shows that, over the past four years, shelter became 23% more expensive and the cost of furnishing and operations and paying for non-energy utilities kept roughly that same pace.

Energy inflation has been a different story: As of the latest available observation, heating, cooling, cooking, and running electric appliances is, on average, 33% more expensive than four years ago, although those costs have come down from their peak in January 2023.

How this graph was created: Search FRED for “Consumer Price Index for All Urban Consumers: Shelter in U.S. City Average.” Next, click the “Edit Graph” button and use the “Add Line” tab to add the other three CPI series: “Water and Sewer and Trash Collection Services,” “Household Furnishings and Operations,” and “Energy.” Next, use the “Edit Lines” tab to change the units to “Index (Scale value to 100 for chosen date)” and under “Select a date that will equal 100 for your custom index:” enter “2020-04-01.” Last, click on “Copy to all” to apply that unit customization to all series in the graph.

Suggested by Diego Mendez-Carbajo.

FRED recently added two new personal consumption expenditures (PCE) price index data series from the US Bureau of Economic Analysis: one excluding the energy and housing categories from the all-items PCE price index and a second one excluding the food, energy, and housing categories. These series are timely additions to FRED’s substantial repository of measures of trend inflation.

The FRED graph above shows these two new PCE price index series from the BEA (blue and red lines), along with the all-items price index (green line). The data are plotted as inflation rates, or percent changes from a year ago.

Between April 2020 (the end of the COVID-19-induced recession) and roughly the last quarter of 2021, the three measures of PCE inflation moved broadly in sync. However, during the better part of 2022, food, energy, and housing prices changed at a different pace from the remaining PCE price categories. Russia’s invasion of Ukraine was a large shock to international energy and food markets, but housing markets are local. So, what happened to those prices?

In short, and paraphrasing Jerome Powell, because rental leases are renewed annually or even less frequently, housing price inflation tends to lag other prices after speedups or slowdowns in overall inflation. This apparent lack of co-movement between the all-items PCE inflation and the other two measures of personal consumption expenditure prices was due to the timing of new housing data, particularly rental prices. This phenomenon has also been visible during other time periods when inflation changed its direction of growth, particularly during the 2007-2009 recession: See this FRED graph with the three PCE series plotted since 1960.

How this graph was created: In FRED, search for and select “Personal Consumption Expenditures: Services Excluding Energy and Housing (Chain-Type Price Index).” From the “Edit Graph” panel, use the “Add Line” tab to search and select “Personal Consumption Expenditures Excluding Food, Energy, and Housing (Chain-Type Price Index).” Repeat the last step to add “Personal Consumption Expenditures: Chain-type Price Index.” Lastly, use the “Edit Lines” tab to change the units into “Percent Change from Year Ago” and click on the “Copy to all” button to apply the change to the other two series in the graph.

Suggested by Diego Mendez-Carbajo.

The FRED Blog has discussed the relationship between single-family housing starts and completions and also how changes in overall housing market prices are measured. Today we build on the topic of housing by comparing trends in the type of residential constructions erected.

The FRED graph above shows data from the US Census and the US Department of Housing and Urban Development (HUD) on the number of new, privately owned, completed housing units since 1968. There are three size types: single-family buildings (the blue area), buildings with 2 to 4 separate dwellings (the red area), and buildings with 5 or more dwellings (the green area).

The data are shown in a stacked area graph to highlight the relative amounts of each type of housing structure. We also changed the data frequency from monthly to annual to observe the trends more easily. So, what does the graph show?

The number of single-family structures, as a proportion of all types of housing structures, is clearly larger than the number of multifamily structures. This might reflect a preference for single-family housing, but we can’t say for sure because the data do not capture the exact number of individual dwellings in large multi-unit housing.

However, the data do show a trend in the construction of multifamily buildings with 2 to 4 units. That housing trend even has a name: the “missing middle.”

The term was coined to reflect the fact that construction of small-scale and affordable multifamily dwellings has decreased over time. “Middle” housing surged in the early 1970s during a boom in the overall construction of multifamily housing. During this period, nearly half of all new homes were multifamily. This type of housing became relatively less and less popular—as revealed by the shrinking red area in the graph.

Recent research coauthored by Raphael Bostic from the Atlanta Fed notes that small and medium multifamily properties, defined as buildings with 2 to 49 units, comprise over 20% of the US housing stock. This housing segment contains the largest percentage of the lowest-income households and the majority of rental units across the country. You can learn more about this topic here.

How this graph was created: Search the alphabetical list of FRED releases for “New Residential Construction” and select “Table 5. New Privately-Owned Housing Units Completed.” Select the three series naming the number of units per structure and click “Add to Graph.” Use the “Format” tab to change the graph type to “Area” and the stacking option to “Percent.”

Suggested by Zach Wallace-Wright and Diego Mendez-Carbajo.