CaHousingMarketNews.com is an independent publication covering the Sacramento region’s housing market and the cities and communities shaping it — Placer, El Dorado, Sacramento, and Yolo counties, plus the unincorporated communities and census-designated places in between.
We focus on what’s measurable: where prices rose or fell, how fast homes sold, where inventory tightened, what’s being built, what monthly payments actually look like for buyers in each city, and the demographic and economic context behind those numbers. The goal is to give residents — buyers, sellers, renters, anyone watching the market — a clear read on local conditions, grounded in data from the same sources real estate professionals and local governments use.
Who’s behind this
CaHousingMarketNews.com was founded in 2026 by Eric W. Dolan, an independent publisher based in Roseville, California. The publication is owned and operated independently — no investors, no parent media company, no real estate firm. Editorial decisions, source selection, and methodology are set in-house. Questions about ownership, structure, or editorial policy can be directed to the contact page.
What we publish
Our coverage runs in two main strands. The first is housing market data: monthly market reports for each city we track, regional comparisons, mortgage rate analysis when conditions shift, construction tracking from building permit data, and rental market reports. The second is city-level municipal reports — broader profiles of the Sacramento region’s cities and communities covering demographics, economy, infrastructure, and the civic context that shapes each local market.
Alongside both strands, we publish traditional reporting on new developments, policy changes, and the people moving through the region’s neighborhoods. The mix evolves over time. We add new beats and formats as the data and the local story warrant. What holds steady is the editorial standard: every figure traceable to a public source, every claim qualified by what the data can and can’t tell us, every article published with the reader’s interests in mind rather than any party with skin in the transaction.
What we are not
We are not a real estate brokerage, a lead-generation service, or an advisory firm. We don’t provide valuations on individual properties, opinions on whether to buy or sell, or referrals tied to a specific transaction. The reports are general-purpose market intelligence — useful for understanding what’s happening in a given city, not for deciding whether to make a specific offer. For decisions about a particular home or transaction, talk to a licensed real estate agent, mortgage broker, or financial advisor.
How we source our data
Every figure in our reports comes from public, institutional sources. We don’t generate our own market data — we aggregate, normalize, and contextualize what’s already published.
Median sale prices, transaction counts, days on market, inventory, sale-to-list ratios — at the city, ZIP, and state level. Updated monthly.
Freddie Mac mortgage rates, the S&P/Case-Shiller home price index for national context, and other macroeconomic indicators.
The Zillow Observed Rent Index — a smoothed measure of typical asking rents for the middle tier of the rental market.
Residential building permits authorized, by metro area and statewide. The Census Bureau's Building Permits Survey is the standard source for new-construction tracking.
Median household income, population, and housing unit counts for census-designated places. Used for affordability calculations and city-scale context.
Annual January 1 population and housing unit estimates for every incorporated city in California — the most current figures available, updated each May.
How we calculate the numbers
Monthly mortgage payments. The “monthly P&I” figure in each city report assumes a 20% down payment and the prevailing 30-year fixed mortgage rate from Freddie Mac for the report month, applied to that city’s median sale price. We don’t include taxes, insurance, or HOA fees — your real monthly cost will be higher.
Affordability. We label affordability two ways. The price-to-income ratio compares the city’s median sale price to the median household income (Census ACS). A ratio above 5x is generally considered unaffordable. Separately, we compute the monthly payment as a share of monthly household income, with thresholds drawn from the National Association of Realtors: under 28% is affordable, 28–43% is stretched, above 43% is unaffordable. Both are conventions, not absolutes — actual affordability depends on individual income, debts, and savings.
Months of supply. Active listings divided by the trailing month’s sales pace. Below 4 months is a sellers’ market, 4–6 is balanced, above 6 is a buyers’ market. These are industry conventions; small markets with low transaction counts can swing more sharply than the labels suggest, and we flag that in articles where it matters.
Population context. For incorporated cities we use the California Department of Finance’s E-5 series (annual, January 1 reference date). For census-designated places like Orangevale, Granite Bay, and Fair Oaks — which DOF doesn’t track because they have no city government — we fall back to the Census Bureau’s 5-year ACS estimates. Each city’s population block on the article sidebar shows which source we used.
Small-sample volatility. When a city has fewer than 20 sales in a given month, we flag the data as susceptible to mix effects — a few unusually expensive or unusually cheap homes can swing the median sharply without telling you anything about underlying market conditions. Articles for small markets like Loomis or Granite Bay note this directly.
How we use AI
Our reports combine human editorial judgment with AI-assisted writing. We pull the underlying data, run the calculations, and design the analytical framework. A large language model (Anthropic's Claude) drafts the prose around that framework, working from a structured data brief we supply for each article.
The numbers in every article come from the institutional sources listed above — not from the language model. The model isn't asked to estimate, predict, or interpret data it wasn't given. It's used to render structured findings as readable English.
Editorial independence
Editorial decisions on this site are made independently of any commercial relationships. Display advertising, sponsored content, and affiliate links — where they appear — are clearly labeled and have no influence on what we cover, how we frame it, or what conclusions we reach. Advertisers and sponsors do not see articles in advance and cannot request changes. Our methodology and source selection are set in-house and applied consistently regardless of who is buying ad inventory in a given month.
Corrections
We correct factual errors as soon as we identify them. Our policy:
- Numerical errors (mis-cited figures, transposed numbers, incorrect year-over-year comparisons) are corrected in the article body, and a dated correction note is appended at the bottom describing what changed.
- Source-data revisions (when Redfin, Zillow, FRED, the Census Bureau, or another source publishes a revised figure after our article goes live) are updated in the article with a note indicating the revision date and source.
- Substantive errors — those that change the conclusion of an article — receive a separate correction notice in addition to the in-article update.
- We do not silently rewrite published articles. Every correction is dated and visible to readers.
If you spot an error in our data, please use the contact page. We also welcome story tips, partnership inquiries, and questions about our methodology there.