macro-consumption / README.md
FinzData's picture
Weekly refresh 2026-11-02
4286701 verified
|
Raw History Blame Contribute Delete
5.99 kB
---
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** (2025-11-02 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.