series_id large_stringclasses 273
values | date date32 | value float64 -260,472 49.8M |
|---|---|---|
A074RC1Q027SBEA | 2026-01-01 | 2,720.234 |
A074RC1Q027SBEA | 2026-04-01 | 2,731.454 |
A074RC1Q027SBEA | 2026-07-01 | 2,745.364 |
A084RC1Q027SBEA | 2026-01-01 | 5,065.813 |
A084RC1Q027SBEA | 2026-04-01 | 5,121.683 |
A084RC1Q027SBEA | 2026-07-01 | 5,183.731 |
A091RC1Q027SBEA | 2026-01-01 | 1,252.858 |
A091RC1Q027SBEA | 2026-04-01 | 1,279.734 |
A091RC1Q027SBEA | 2026-07-01 | 1,328.827 |
A180RC1Q027SBEA | 2026-01-01 | 1,529.932 |
A180RC1Q027SBEA | 2026-04-01 | 1,556.417 |
A180RC1Q027SBEA | 2026-07-01 | 1,604.256 |
A229RC0 | 2025-11-01 | 68,056 |
A229RC0 | 2025-12-01 | 68,289 |
A229RC0 | 2026-01-01 | 68,916 |
A229RC0 | 2026-02-01 | 69,005 |
A229RC0 | 2026-03-01 | 69,492 |
A229RC0 | 2026-04-01 | 69,519 |
A229RC0 | 2026-05-01 | 70,041 |
A229RC0 | 2026-06-01 | 70,205 |
A229RC0 | 2026-07-01 | 70,443 |
A229RC0 | 2026-08-01 | 70,658 |
A229RC0 | 2026-09-01 | 70,792 |
A255RC1Q027SBEA | 2026-01-01 | 3,439.879 |
A255RC1Q027SBEA | 2026-04-01 | 3,727.887 |
A255RC1Q027SBEA | 2026-07-01 | 4,019.887 |
A33CNO | 2025-11-01 | 4,545 |
A33CNO | 2025-12-01 | 4,295 |
A33CNO | 2026-01-01 | 4,099 |
A33CNO | 2026-02-01 | 4,572 |
A33CNO | 2026-03-01 | 4,740 |
A33CNO | 2026-04-01 | 4,734 |
A33CNO | 2026-05-01 | 5,013 |
A33CNO | 2026-06-01 | 5,119 |
A33CNO | 2026-07-01 | 4,678 |
A33CNO | 2026-08-01 | 5,017 |
A463RD3Q052SBEA | 2026-01-01 | 0.231 |
A463RD3Q052SBEA | 2026-04-01 | 0.25 |
A466RD3Q052SBEA | 2026-01-01 | 0.183 |
A466RD3Q052SBEA | 2026-04-01 | 0.195 |
ACTLISCOU12011 | 2025-11-01 | 16,288 |
ACTLISCOU12011 | 2025-12-01 | 16,091 |
ACTLISCOU12011 | 2026-01-01 | 15,726 |
ACTLISCOU12011 | 2026-02-01 | 16,089 |
ACTLISCOU12011 | 2026-03-01 | 15,711 |
ACTLISCOU12011 | 2026-04-01 | 15,476 |
ACTLISCOU12011 | 2026-05-01 | 15,144 |
ACTLISCOU12011 | 2026-06-01 | 14,870 |
ACTLISCOU12011 | 2026-07-01 | 14,403 |
ACTLISCOU12011 | 2026-08-01 | 14,270 |
ACTLISCOU12011 | 2026-09-01 | 14,329 |
ACTLISCOU12060 | 2025-11-01 | 27,734 |
ACTLISCOU12060 | 2025-12-01 | 25,382 |
ACTLISCOU12060 | 2026-01-01 | 23,422 |
ACTLISCOU12060 | 2026-02-01 | 23,828 |
ACTLISCOU12060 | 2026-03-01 | 24,951 |
ACTLISCOU12060 | 2026-04-01 | 26,497 |
ACTLISCOU12060 | 2026-05-01 | 27,670 |
ACTLISCOU12060 | 2026-06-01 | 28,899 |
ACTLISCOU12060 | 2026-07-01 | 29,298 |
ACTLISCOU12060 | 2026-08-01 | 29,580 |
ACTLISCOU12060 | 2026-09-01 | 29,735 |
ACTLISCOU12086 | 2025-11-01 | 18,714 |
ACTLISCOU12086 | 2025-12-01 | 18,572 |
ACTLISCOU12086 | 2026-01-01 | 18,225 |
ACTLISCOU12086 | 2026-02-01 | 18,225 |
ACTLISCOU12086 | 2026-03-01 | 17,793 |
ACTLISCOU12086 | 2026-04-01 | 17,540 |
ACTLISCOU12086 | 2026-05-01 | 17,140 |
ACTLISCOU12086 | 2026-06-01 | 17,024 |
ACTLISCOU12086 | 2026-07-01 | 16,534 |
ACTLISCOU12086 | 2026-08-01 | 16,507 |
ACTLISCOU12086 | 2026-09-01 | 17,010 |
ACTLISCOU12099 | 2025-11-01 | 12,635 |
ACTLISCOU12099 | 2025-12-01 | 12,437 |
ACTLISCOU12099 | 2026-01-01 | 12,470 |
ACTLISCOU12099 | 2026-02-01 | 12,814 |
ACTLISCOU12099 | 2026-03-01 | 12,486 |
ACTLISCOU12099 | 2026-04-01 | 12,260 |
ACTLISCOU12099 | 2026-05-01 | 11,659 |
ACTLISCOU12099 | 2026-06-01 | 11,072 |
ACTLISCOU12099 | 2026-07-01 | 10,613 |
ACTLISCOU12099 | 2026-08-01 | 10,217 |
ACTLISCOU12099 | 2026-09-01 | 9,942 |
ACTLISCOU12420 | 2025-11-01 | 10,603 |
ACTLISCOU12420 | 2025-12-01 | 9,319 |
ACTLISCOU12420 | 2026-01-01 | 8,445 |
ACTLISCOU12420 | 2026-02-01 | 9,080 |
ACTLISCOU12420 | 2026-03-01 | 10,022 |
ACTLISCOU12420 | 2026-04-01 | 11,057 |
ACTLISCOU12420 | 2026-05-01 | 11,977 |
ACTLISCOU12420 | 2026-06-01 | 12,456 |
ACTLISCOU12420 | 2026-07-01 | 12,655 |
ACTLISCOU12420 | 2026-08-01 | 12,517 |
ACTLISCOU12420 | 2026-09-01 | 12,083 |
ACTLISCOU14460 | 2025-11-01 | 7,157 |
ACTLISCOU14460 | 2025-12-01 | 5,141 |
ACTLISCOU14460 | 2026-01-01 | 4,328 |
ACTLISCOU14460 | 2026-02-01 | 4,194 |
ACTLISCOU14460 | 2026-03-01 | 4,950 |
US macro data: Housing (273 series)
273 housing series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-01 on) of each series' latest values. It is refreshed weekly.
import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-housing/data/long.parquet") # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-housing/data/wide_daily.parquet") # one column per series
or datasets.load_dataset("FinzData/macro-housing"). Wide tables by frequency: wide_daily (1 series), wide_weekly (3 series), wide_monthly (218 series), wide_quarterly (51 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:
import finzdata as fz # pip install finzdata
c = fz.Client() # free API key: https://api.finzdata.com/
c.macro("DCOILBRENTEU") # full history, latest values
c.macro("DCOILBRENTEU", vintage="first") # as first released
c.macro("DCOILBRENTEU", as_of="2020-03-01") # exactly what was known on that date
c.macro_series(category="housing") # the catalogue for this category
Most-watched series in this package
| ID | Title | Units | Frequency | Full history from |
|---|---|---|---|---|
DCOILBRENTEU |
Crude Oil Prices: Brent - Europe | Dollars per Barrel | Daily | 1987 |
HOUST |
New Privately-Owned Housing Units Started: Total Units | Thousands of Units | Monthly | 1959 |
A091RC1Q027SBEA |
Federal government current expenditures: Interest payments | Billions of Dollars | Quarterly | 1947 |
ACTLISCOUUS |
Housing Inventory: Active Listing Count in the United States | Level | Monthly | 2016 |
TLMFGCONS |
Total Construction Spending: Manufacturing in the United States | Millions of Dollars | Monthly | 2002 |
PERMIT |
New Privately-Owned Housing Units Authorized in Permit-Issuing Places: Total Units | Thousands of Units | Monthly | 1960 |
MSACSR |
Monthly Supply of New Houses in the United States | Months' Supply | Monthly | 1963 |
RHORUSQ156N |
Homeownership Rate in the United States | Percent | Quarterly | 1965 |
HSN1F |
New One Family Houses Sold: United States | Thousands | Monthly | 1963 |
FGEXPND |
Federal Government: Current Expenditures | Billions of Dollars | Quarterly | 1946 |
HOUST1F |
New Privately-Owned Housing Units Started: Single-Family Units | Thousands of Units | Monthly | 1959 |
TTLCONS |
Total Construction Spending: Total Construction in the United States | Millions of Dollars | Monthly | 1993 |
ETOTALUSQ176N |
Housing Inventory Estimate: Total Housing Units in the United States | Thousands of Units | Quarterly | 2000 |
RRVRUSQ156N |
Rental Vacancy Rate in the United States | Percent | Quarterly | 1956 |
GEPUCURRENT |
Global Economic Policy Uncertainty Index: Current Price Adjusted GDP | Index | Monthly | 1997 |
W006RC1Q027SBEA |
Federal government current tax receipts | Billions of Dollars | Quarterly | 1947 |
IEABC |
Balance on current account | Millions of Dollars | Quarterly | 1999 |
MEDDAYONMARUS |
Housing Inventory: Median Days on Market in the United States | Level | Monthly | 2016 |
TLNRESCONS |
Total Construction Spending: Nonresidential in the United States | Millions of Dollars | Monthly | 2002 |
MCOILBRENTEU |
Crude Oil Prices: Brent - Europe | Dollars per Barrel | Monthly | 1987 |
USAUCSFRCONDOSMSAMID |
Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in the United States of America | Dollars | Monthly | 2000 |
ACTLISCOUFL |
Housing Inventory: Active Listing Count in Florida | Level | Monthly | 2016 |
TLRESCONS |
Total Construction Spending: Residential in the United States | Millions of Dollars | Monthly | 2002 |
B235RC1Q027SBEA |
Federal government current tax receipts: Taxes on production and imports: Customs duties | Billions of Dollars | Quarterly | 1959 |
COMPUTSA |
New Privately-Owned Housing Units Completed: Total Units | Thousands of Units | Monthly | 1968 |
All 273 series: series.csv. Browse them at https://finzdata.com/macro/category/housing.
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.
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