Weekly refresh 2026-10-25

README.md

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+---
+license: other
+license_name: public-domain-source-us-government
+pretty_name: "US Macro Data: Consumption"
+language:
+- en
+tags:
+- finance
+- economics
+- macroeconomics
+- time-series
+- fred
+- consumption
+- quant
+- backtesting
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: long
+  data_files: data/long.parquet
+  default: true
+- config_name: wide_monthly
+  data_files: data/wide_monthly.parquet
+- config_name: wide_quarterly
+  data_files: data/wide_quarterly.parquet
+- config_name: wide_annual
+  data_files: data/wide_annual.parquet
+- config_name: wide_other
+  data_files: data/wide_other.parquet
+---
+
+# US macro data: Consumption (1,602 series)
+
+1,602 consumption series from US government sources, cleaned into one consistent format and ready for pandas.
+This free package holds the **last 12 months** (2025-10-25 on) of each series' latest values. It is refreshed weekly.
+
+```python
+import pandas as pd
+df = pd.read_parquet("hf://datasets/FinzData/macro-consumption/data/long.parquet")      # series_id, date, value
+wide = pd.read_parquet("hf://datasets/FinzData/macro-consumption/data/wide_monthly.parquet")  # one column per series
+```
+
+or `datasets.load_dataset("FinzData/macro-consumption")`. Wide tables by frequency: `wide_monthly` (119 series), `wide_quarterly` (1462 series), `wide_annual` (14 series), `wide_other` (7 series). `series.csv` lists every series
+with its title, units, frequency and how far back the full history goes.
+
+## The full history, point in time, through one API
+The FinzData API serves every series back to its first observation, **every revision** (what was known on any past
+date, so backtests do not peek at later revisions), and **daily updates**, in the same format:
+
+```python
+import finzdata as fz                     # pip install finzdata
+c = fz.Client()                           # free API key: https://api.finzdata.com/
+c.macro("PCEPILFE")                        # full history, latest values
+c.macro("PCEPILFE", vintage="first")       # as first released
+c.macro("PCEPILFE", as_of="2020-03-01")    # exactly what was known on that date
+c.macro_series(category="consumption")          # the catalogue for this category
+```
+
+## Most-watched series in this package
+
+| ID | Title | Units | Frequency | Full history from |
+|---|---|---|---|---|
+| `PCEPILFE` | Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) | Index 2017=100 | Monthly | 1959 |
+| `DPCCRV1Q225SBEA` | Personal Consumption Expenditures (PCE) Excluding Food and Energy (Chain-Type Price Index) | Percent Change from Preceding Period | Quarterly | 1959 |
+| `PCETRIM12M159SFRBDAL` | Trimmed Mean PCE Inflation Rate | Percent Change from Year Ago | Monthly | 1978 |
+| `PCECC96` | Real Personal Consumption Expenditures | Billions of Chained 2017 Dollars | Quarterly | 1947 |
+| `DPCERE1Q156NBEA` | Shares of gross domestic product: Personal consumption expenditures | Percent | Quarterly | 1947 |
+| `PCEC` | Personal Consumption Expenditures | Billions of Dollars | Quarterly | 1939 |
+| `PCETRIM1M158SFRBDAL` | Trimmed Mean PCE Inflation Rate | Percent Change at Annual Rate | Monthly | 1977 |
+| `PCEDG` | Personal Consumption Expenditures: Durable Goods | Billions of Dollars | Monthly | 1959 |
+| `FDEFX` | Federal Government: National Defense Consumption Expenditures and Gross Investment | Billions of Dollars | Quarterly | 1946 |
+| `IA001260M` | Personal Consumption Expenditures: Services Excluding Energy and Housing (Chain-Type Price Index) | Index 2017=100 | Monthly | 1959 |
+| `PCECTPI` | Personal Consumption Expenditures: Chain-type Price Index | Index 2017=100 | Quarterly | 1947 |
+| `GCEC1` | Real Government Consumption Expenditures and Gross Investment | Billions of Chained 2017 Dollars | Quarterly | 1947 |
+| `PCES` | Personal Consumption Expenditures: Services | Billions of Dollars | Monthly | 1959 |
+| `PCEDGC96` | Real Personal Consumption Expenditures: Durable Goods | Billions of Chained 2017 Dollars | Monthly | 1959 |
+| `A794RX0Q048SBEA` | Real personal consumption expenditures per capita | Chained 2017 Dollars | Quarterly | 1947 |
+| `DPCERD3Q086SBEA` | Personal consumption expenditures (implicit price deflator) | Index 2017=100 | Quarterly | 1947 |
+| `GCE` | Government Consumption Expenditures and Gross Investment | Billions of Dollars | Quarterly | 1939 |
+| `PCEND` | Personal Consumption Expenditures: Nondurable Goods | Billions of Dollars | Monthly | 1959 |
+| `BPCCRO1Q156NBEA` | Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) | Percent Change from Quarter One Year Ago | Quarterly | 1960 |
+| `DFXARC1M027SBEA` | Personal consumption expenditures: Food | Billions of Dollars | Monthly | 1959 |
+| `DGDSRX1` | Real Personal Consumption Expenditures: Goods | Billions of Chained 2017 Dollars | Monthly | 1995 |
+| `DPCERY2Q224SBEA` | Contributions to percent change in real gross domestic product: Personal consumption expenditures | Percentage Points at Annual Rate | Quarterly | 1947 |
+| `PCESC96` | Real Personal Consumption Expenditures: Services | Billions of Chained 2017 Dollars | Monthly | 1959 |
+| `DHLCRC1Q027SBEA` | Personal consumption expenditures: Services: Health care | Billions of Dollars | Quarterly | 1959 |
+| `PCDG` | Personal Consumption Expenditures: Durable Goods | Billions of Dollars | Quarterly | 1939 |
+
+All 1,602 series: `series.csv`. Browse them at https://finzdata.com/macro/category/consumption.
+
+## More from FinzData
+- Every macro category: https://huggingface.co/FinzData · index on GitHub: https://github.com/FinzData/macro-data
+- Survivorship-free US stock prices since 2000, COT positioning, 13F holdings, insider trades, short interest
+- Pricing (history bundles from $195 once): https://finzdata.com/pricing
+- Python client (open source): https://github.com/FinzData/finzdata-python
+
+Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData.
+Data for research, not investment advice.

data/long.parquet

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data/wide_annual.parquet

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data/wide_monthly.parquet

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+size 80468

data/wide_other.parquet

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data/wide_quarterly.parquet

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