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United States Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index

Price

0.03 Points
Change +/-
+0.01 Points
Percentage Change
+40.00 %

The current value of the Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index in United States is 0.03 Points. The Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index in United States increased to 0.03 Points on 12/1/2023, after it was 0.02 Points on 11/1/2023. From 3/1/1967 to 6/1/2024, the average GDP in United States was -0 Points. The all-time high was reached on 5/1/2020 with 1.04 Points, while the lowest value was recorded on 4/1/2020 with -1.32 Points.

Source: Federal Reserve Bank of Chicago

Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index

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CFNAI Index for Personal Consumption and Housing

Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index History

DateValue
12/1/20230.03 Points
11/1/20230.02 Points
9/1/20230.01 Points
7/1/20230.03 Points
5/1/20230.01 Points
1/1/20230.1 Points
10/1/20220.01 Points
9/1/20220.01 Points
8/1/20220.04 Points
4/1/20220.08 Points
1
2
3
4
5
...
36

Similar Macro Indicators to Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index

NameCurrentPreviousFrequency
🇺🇸
Automobile production
11.18 M Units11.73 M UnitsMonthly
🇺🇸
Bankruptcies
20,316 Companies18,926 CompaniesQuarter
🇺🇸
Business Climate
48.5 points48.7 pointsMonthly
🇺🇸
Business Inventories
0.5 %0.3 %Monthly
🇺🇸
Capacity Utilization
78.7 %78.2 %Monthly
🇺🇸
CFNAI Employment Index
0 points-0.05 pointsMonthly
🇺🇸
CFNAI Production Index
-0.28 %-0.02 %Monthly
🇺🇸
CFNAI Sales, Order, and Inventory Index
-0.02 %-0.01 %Monthly
🇺🇸
Changes in Inventory Levels
71.7 B USD17.7 B USDQuarter
🇺🇸
Chicago Fed National Activity Index
0.18 points-0.26 pointsMonthly
🇺🇸
Chicago PMI
46.1 points45.3 pointsMonthly
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Composite Leading Indicator
99.969 points99.991 pointsMonthly
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Composite PMI
54.4 points54.6 pointsMonthly
🇺🇸
Consistency Index
143.15 points142.9 pointsMonthly
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Corn Grain Reserves
4.993 B Bushels8.347 B BushelsQuarter
🇺🇸
Corporate profits
2.727 T USD2.803 T USDQuarter
🇺🇸
Dallas Fed Manufacturing Delivery Index
2.8 points-3 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Employment Index
-2.9 points-5.3 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Index
-15.1 points-19.4 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Prices Paid Index
21.5 points20.4 pointsMonthly
🇺🇸
Dallas Fed Manufacturing Production Index
0.7 points-2.8 pointsMonthly
🇺🇸
Dallas Fed New Order Index
-1.3 points-2.2 pointsMonthly
🇺🇸
Dallas Fed Service Sector Revenue Index
7.7 points1.9 pointsMonthly
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Dallas Fed Services Index
-4.1 points-12.1 pointsMonthly
🇺🇸
Durable Goods Orders
0 %9.8 %Monthly
🇺🇸
Durable Goods Orders Excluding Defense
-0.2 %-0.5 %Monthly
🇺🇸
Durable Goods Orders Excluding Transportation
0.5 %-0.1 %Monthly
🇺🇸
Factory Orders
5 %-3.3 %Monthly
🇺🇸
Factory Orders Excluding Transportation
0.7 %0.4 %Monthly
🇺🇸
Grain Reserves Wheat
702 M Bushels1.087 B BushelsQuarter
🇺🇸
Industrial production
0.4 %-0.7 %Monthly
🇺🇸
Industrial Production MoM
0.9 %0 %Monthly
🇺🇸
ISM Manufacturing Backlog
43.6 points41.7 pointsMonthly
🇺🇸
ISM Manufacturing Deliveries
52.6 points49.8 pointsMonthly
🇺🇸
ISM Manufacturing Employment
49.3 points51.1 pointsMonthly
🇺🇸
ISM Manufacturing Inventory Levels
50.3 points44.5 pointsMonthly
🇺🇸
ISM Manufacturing Prices
52.1 points57 pointsMonthly
🇺🇸
ISM Manufacturing Production
45.9 points48.5 pointsMonthly
🇺🇸
ISM New Orders Manufacturing
49.3 points45.4 pointsMonthly
🇺🇸
ISM New Orders Non-Manufacturing
54.1 points52.2 pointsMonthly
🇺🇸
ISM Non-Manufacturing Business Activity
53.3 points54.5 pointsMonthly
🇺🇸
ISM Non-Manufacturing Employment
47.1 points45.9 pointsMonthly
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ISM Non-Manufacturing Prices
58.1 points59.2 pointsMonthly
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Kansas Fed Composite Index
-8 points-2 pointsMonthly
🇺🇸
Kansas Fed Employment Index
-7 points-12 pointsMonthly
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Kansas Fed Manufacturing Index
-11 points-1 pointsMonthly
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Kansas Fed Manufacturing Index
-13 points-6 pointsMonthly
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Kansas Fed Manufacturing Index
-1 points-18 pointsMonthly
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Kansas Fed Paid Prices Index
19 points18 pointsMonthly
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Leading Indicator
101.2 points101.7 pointsMonthly
🇺🇸
LMI Logistics Manager Index Future
66.1 points65.5 pointsMonthly
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LMI Storage Costs
63.6 points65.2 pointsMonthly
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LMI Transport Prices
61 points57.8 pointsMonthly
🇺🇸
LMI Warehouse Prices
64.5 points64.9 pointsMonthly
🇺🇸
LMI-Logistics Manager Index
56.5 points55.3 pointsMonthly
🇺🇸
Manufacturing PMI
51.6 points51.3 pointsMonthly
🇺🇸
Manufacturing Production
0.2 %-0.7 %Monthly
🇺🇸
Manufacturing Production MoM
0.9 %-0.4 %Monthly
🇺🇸
Mining Production
0.1 %-1.1 %Monthly
🇺🇸
New Orders
592.14 B USD563.972 B USDMonthly
🇺🇸
NFIB Business Optimism Index
90.5 points89.7 pointsMonthly
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NY Empire State Employment Index
-8.7 points-6.4 pointsMonthly
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NY Empire State Manufacturing Index
-6 points-15.6 pointsMonthly
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NY Empire State Manufacturing Index
-1 points-16.5 pointsMonthly
🇺🇸
NY Empire State Manufacturing Index
3.3 points-1.2 pointsMonthly
🇺🇸
NY Empire State Prices Paid Index
23.2 points23.4 pointsMonthly
🇺🇸
Orders for Capital Goods Excluding Defense and Aircraft
1 %-0.9 %Monthly
🇺🇸
Philadelphia Fed Manufacturing Index
1.3 points4.5 pointsMonthly
🇺🇸
Philly Fed Business Climate
15.8 points15.4 pointsMonthly
🇺🇸
Philly Fed CAPEX Index
12.1 points20.1 pointsMonthly
🇺🇸
Philly Fed Employment
-2.5 points-7.9 pointsMonthly
🇺🇸
Philly Fed New Orders
-2.2 points-7.9 pointsMonthly
🇺🇸
Philly Fed Prices Paid
22.5 points18.7 pointsMonthly
🇺🇸
PMI Non-Manufacturing Sector
53.8 points49.4 pointsMonthly
🇺🇸
Retail Inventory Excluding Autos
0.4 %0.5 %Monthly
🇺🇸
Richmond Fed Manufacturing Index
-10 points0 pointsMonthly
🇺🇸
Richmond Fed Manufacturing Shipments
-9 points13 pointsMonthly
🇺🇸
Richmond Fed Services Index
-1 points-11 pointsMonthly
🇺🇸
Services PMI
55.1 points54.8 pointsMonthly
🇺🇸
Soybean Grain Reserves
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🇺🇸
Steel production
7 M Tonnes6.9 M TonnesMonthly
🇺🇸
Total Vehicle Sales
15.13 M 15.82 M Monthly
🇺🇸
Vehicle Registrations
279,800 261,300 Monthly
🇺🇸
Wholesale Inventory Levels
0.6 %0.2 %Monthly

In the United States, the CFNAI Personal Consumption and Housing Index indicates the contribution of the personal consumption and housing category to the Chicago Fed National Activity Index (CFNAI), a monthly index designed to measure overall economic activity. This particular index comprises 14 percent of the CFNAI and includes indicators such as personal consumption expenditures and housing starts.

What is Chicago Fed National Activity Index (CFNAI) Personal Consumption and Housing Index?

The CFNAI Personal Consumption and Housing Index (CFNAI PICH Index) serves as an essential barometer of economic health within the macroeconomic landscape. As a specialized and meticulously curated metric, it is part of the larger Chicago Fed National Activity Index (CFNAI), which is designed to provide a comprehensive overview of national economic activity and related inflationary pressures. At Eulerpool, we are committed to delivering precise and meaningful macroeconomic data, and the inclusion of the CFNAI PICH Index in our repository underscores our dedication to providing our users with invaluable insights into consumer behavior and housing market trends. The CFNAI PICH Index specifically focuses on two critical components of the economy: personal consumption and housing. Personal consumption expenditures (PCE) reflect the total value of goods and services consumed by households and is a primary driver of economic growth. Simultaneously, the housing sector includes new home construction, existing home sales, and related activities such as real estate transactions and mortgage financing. These two elements combined create a robust indicator that captures the pulse of the domestic economy. Understanding the CFNAI PICH Index necessitates an appreciation of its methodological framework. The index is constructed using a weighted average of 85 monthly indicators that span a broad range of economic activities. It then aggregates data from several categories, including production and income, employment and unemployment, personal consumption, and housing, culminating in a single index value that simplifies the intricate dynamics of these interconnected sectors. When analyzing the CFNAI PICH Index, it is crucial to recognize its distinctive attributes and the implications these have for economic forecasting and assessment. Positive values of the index suggest above-average growth in consumption and housing, while negative values indicate below-average performance. This index's capacity to signal shifts in consumer spending patterns and housing market conditions makes it an indispensable tool for economists, policymakers, and investors alike. Economists leverage the CFNAI PICH Index to gauge the current state and trajectory of the economy. By monitoring the index's monthly fluctuations, they can identify emerging trends and potential inflection points. This, in turn, facilitates the formulation of informed economic policies designed to either stimulate growth or curb inflation, depending on the prevailing economic conditions. For instance, a sustained increase in the index might prompt policymakers to consider tightening monetary policy to preempt overheating, whereas a prolonged decline could lead to the implementation of stimulative measures to bolster economic activity. Investors and financial analysts also find the CFNAI PICH Index to be of paramount significance. In the realm of personal consumption, consumer spending accounts for a substantial portion of GDP, and any variations in spending habits can have far-reaching consequences for corporate performance and, by extension, equity markets. Furthermore, the housing sector, with its intricate linkages to both the labor market and broader financial system, serves as a bellwether for economic health. A robust housing market typically signals strong consumer confidence, increased employment in construction and related industries, and enhanced financial stability, all of which are favorable for investment prospects. In addition, the CFNAI PICH Index serves as a critical input for econometric models used by various financial institutions and research organizations. These models rely on accurate and timely data to forecast economic conditions, assess credit risks, and devise asset allocation strategies. By incorporating the CFNAI PICH Index into their analytical frameworks, these entities can improve the precision of their forecasts and make more informed decisions. The CFNAI PICH Index's utility extends beyond traditional economic analysis and investment strategy. It also offers valuable insights for businesses and corporate strategists. Companies can use the index to inform their strategic planning, particularly in sectors directly influenced by consumer spending and housing markets. For instance, retailers, real estate developers, and financial service providers can adjust their business models and operational tactics based on anticipated shifts in consumer behavior and housing activity, as indicated by the index. Moreover, the CFNAI PICH Index provides a nuanced perspective on regional economic disparities within the United States. While national indexes offer a macroscopic view, regional variations can have distinct implications for local economies. Understanding these nuances helps regional planners, local governments, and community organizations tailor their initiatives to address specific economic challenges and opportunities within their jurisdictions. Critically, the CFNAI PICH Index is not without its limitations, and prudent users must approach its interpretation with due diligence. Like any composite index, it aggregates data from various sources, and the quality and timeliness of underlying data can influence its accuracy. Additionally, while the index offers a snapshot of current economic conditions, it does not explicitly account for future uncertainties or exogenous shocks that could alter economic trajectories. Therefore, it is best used in conjunction with other economic indicators and analytical tools to form a holistic view of the economic landscape. At Eulerpool, we are dedicated to ensuring that our users have access to the most relevant and comprehensive macroeconomic data available. The inclusion of the CFNAI Personal Consumption and Housing Index in our data suite empowers our users with the knowledge necessary to navigate an increasingly complex economic environment. By offering a granular view of personal consumption and housing dynamics, this index enhances the robustness of economic analysis and decision-making processes across various sectors. In conclusion, the CFNAI Personal Consumption and Housing Index stands as a cornerstone metric within the broader CFNAI framework. Its relevance spans multiple facets of economic analysis, from monetary policy formulation and investment strategy to business planning and regional economic assessment. At Eulerpool, we recognize the pivotal role this index plays in understanding economic patterns and trends, and we are committed to providing our users with timely and accurate data to support their analytical endeavors.