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Add historical CPI articles and ref-date support in generator
New features: - Added --ref-date option to generator for creating articles from historical periods in time series data - Implemented rebase_data_to_period() function to adjust data to older reference periods New articles (EN/FR pairs): - CPI October 2025 - CPI September 2025 - CPI August 2025 - CPI July 2025 Also updated: - Feed pages with historical articles - Language slug mapping 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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‎docs/en/cpi-august-2025/index.md‎

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---
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title: Consumer prices up 1.9% year over year in August 2025
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---
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# Consumer prices up 1.9% year over year in August 2025
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<p class="release-date">Released: 2025-12-25</p>
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<div class="metric-box">
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<div class="value">+1.9%</div>
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<div class="label">Year-over-year change in Consumer Price Index, August 2025</div>
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</div>
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The Consumer Price Index (CPI) rose 1.9% in August 2025 compared with the same month a year earlier. The index stood at 164.8, up from 161.8 in November 2024. On a monthly basis, prices decreased 0.1% from October 2025.
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<div class="highlights">
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**Highlights**
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- The Consumer Price Index rose 1.9% year over year in August 2025
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- Food costs increased 4.2%, the largest contributor to inflation
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- Household operations, furnishings and equipment prices rose 3.3% compared to August last year
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- Manitoba recorded the highest increase at 3.3%
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</div>
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## Year-over-year inflation trend
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```js
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import * as Plot from "npm:@observablehq/plot";
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const inflationData = [
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{date: new Date("2025-03"), rate: 2.3},
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{date: new Date("2025-04"), rate: 1.7},
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{date: new Date("2025-05"), rate: 1.7},
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{date: new Date("2025-06"), rate: 1.9},
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{date: new Date("2025-07"), rate: 1.7},
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{date: new Date("2025-08"), rate: 1.9}
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];
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display(Plot.plot({
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title: "Year-over-year inflation rate (%)",
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width: 640,
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height: 280,
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y: {domain: [0, 4], grid: true, label: "Percent"},
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x: {type: "utc", label: null},
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marks: [
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Plot.ruleY([0]),
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Plot.ruleY([1, 3], {stroke: "#ddd", strokeDasharray: "4,4"}),
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Plot.lineY(inflationData, {x: "date", y: "rate", stroke: "#AF3C43", strokeWidth: 2}),
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Plot.dot(inflationData, {x: "date", y: "rate", fill: "#AF3C43", r: 4})
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]
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}));
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```
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## Prices by major component
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Among the eight major components of the CPI, food prices showed the largest year-over-year increase at 4.2%. Mortgage interest costs and rent continued to put upward pressure on this category.
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Food prices rose 4.2%.
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```js
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const components = [
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{name: "Food", change: 4.2},
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{name: "Household operations, furnishings and equipment", change: 3.3},
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{name: "Health and personal care", change: 3.0},
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{name: "Shelter", change: 2.3},
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{name: "Alcoholic beverages, tobacco products and recreational cannabis", change: 1.4},
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{name: "Clothing and footwear", change: 0.8},
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{name: "Transportation", change: 0.7},
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{name: "Recreation, education and reading", change: 0.4}
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];
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display(Plot.plot({
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title: "Year-over-year change by component (%)",
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width: 640,
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height: 320,
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marginLeft: 140,
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x: {domain: [-1, 5], grid: true, label: "Percent change"},
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y: {label: null},
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marks: [
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Plot.ruleX([0]),
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Plot.barX(components, {
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y: "name",
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x: "change",
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fill: d => d.change >= 0 ? "#AF3C43" : "#2e7d32",
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sort: {y: "-x"}
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}),
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Plot.text(components, {
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y: "name",
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x: "change",
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text: d => d.change.toFixed(1) + "%",
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dx: 20,
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fill: "currentColor"
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})
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]
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}));
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```
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## Provincial variation
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Price increases varied across provinces and territories. Manitoba recorded the highest year-over-year increase at 3.3%, driven by rising shelter and transportation costs. Prince Edward Island showed the lowest increase at 1.4%.
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| Province | Year-over-year change |
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|----------|----------------------|
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| Manitoba | +3.3% |
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| Quebec | +3.0% |
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| New Brunswick | +2.7% |
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| Nova Scotia | +2.4% |
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| Newfoundland and Labrador | +2.2% |
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| Saskatchewan | +2.1% |
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| British Columbia | +2.0% |
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| Ontario | +1.9% |
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| Alberta | +1.9% |
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| Prince Edward Island | +1.4% |
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<div class="note-to-readers">
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## Note to readers
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The Consumer Price Index measures the rate of price change experienced by Canadian consumers. It is calculated by comparing the cost of a fixed basket of goods and services purchased by consumers over time.
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The CPI is not seasonally adjusted. Month-to-month movements can reflect seasonal patterns in addition to underlying price trends.
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</div>
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<div class="source-info">
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**Source:** Statistics Canada, Table 18-10-0004
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**Survey:** Consumer Price Index
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**Reference period:** August 2025
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</div>

‎docs/en/cpi-july-2025/index.md‎

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---
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title: Consumer prices up 1.7% year over year in July 2025
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---
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# Consumer prices up 1.7% year over year in July 2025
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<p class="release-date">Released: 2025-12-25</p>
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<div class="metric-box">
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<div class="value">+1.7%</div>
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<div class="label">Year-over-year change in Consumer Price Index, July 2025</div>
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</div>
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The Consumer Price Index (CPI) rose 1.7% in July 2025 compared with the same month a year earlier. The index stood at 164.9, up from 161.8 in November 2024. On a monthly basis, prices increased 0.3% from October 2025.
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<div class="highlights">
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**Highlights**
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- The Consumer Price Index rose 1.7% year over year in July 2025
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- Food costs increased 4.2%, the largest contributor to inflation
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- Household operations, furnishings and equipment prices rose 3.3% compared to July last year
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- Manitoba recorded the highest increase at 3.3%
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</div>
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## Year-over-year inflation trend
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```js
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import * as Plot from "npm:@observablehq/plot";
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const inflationData = [
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{date: new Date("2025-02"), rate: 2.6},
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{date: new Date("2025-03"), rate: 2.3},
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{date: new Date("2025-04"), rate: 1.7},
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{date: new Date("2025-05"), rate: 1.7},
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{date: new Date("2025-06"), rate: 1.9},
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{date: new Date("2025-07"), rate: 1.7}
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];
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display(Plot.plot({
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title: "Year-over-year inflation rate (%)",
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width: 640,
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height: 280,
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y: {domain: [0, 4], grid: true, label: "Percent"},
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x: {type: "utc", label: null},
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marks: [
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Plot.ruleY([0]),
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Plot.ruleY([1, 3], {stroke: "#ddd", strokeDasharray: "4,4"}),
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Plot.lineY(inflationData, {x: "date", y: "rate", stroke: "#AF3C43", strokeWidth: 2}),
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Plot.dot(inflationData, {x: "date", y: "rate", fill: "#AF3C43", r: 4})
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]
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}));
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```
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## Prices by major component
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Among the eight major components of the CPI, food prices showed the largest year-over-year increase at 4.2%. Mortgage interest costs and rent continued to put upward pressure on this category.
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Food prices rose 4.2%.
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```js
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const components = [
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{name: "Food", change: 4.2},
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{name: "Household operations, furnishings and equipment", change: 3.3},
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{name: "Health and personal care", change: 3.0},
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{name: "Shelter", change: 2.3},
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{name: "Alcoholic beverages, tobacco products and recreational cannabis", change: 1.4},
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{name: "Clothing and footwear", change: 0.8},
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{name: "Transportation", change: 0.7},
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{name: "Recreation, education and reading", change: 0.4}
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];
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display(Plot.plot({
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title: "Year-over-year change by component (%)",
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width: 640,
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height: 320,
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marginLeft: 140,
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x: {domain: [-1, 5], grid: true, label: "Percent change"},
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y: {label: null},
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marks: [
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Plot.ruleX([0]),
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Plot.barX(components, {
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y: "name",
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x: "change",
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fill: d => d.change >= 0 ? "#AF3C43" : "#2e7d32",
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sort: {y: "-x"}
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}),
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Plot.text(components, {
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y: "name",
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x: "change",
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text: d => d.change.toFixed(1) + "%",
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dx: 20,
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fill: "currentColor"
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})
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]
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}));
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```
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## Provincial variation
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Price increases varied across provinces and territories. Manitoba recorded the highest year-over-year increase at 3.3%, driven by rising shelter and transportation costs. Prince Edward Island showed the lowest increase at 1.4%.
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| Province | Year-over-year change |
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|----------|----------------------|
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| Manitoba | +3.3% |
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| Quebec | +3.0% |
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| New Brunswick | +2.7% |
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| Nova Scotia | +2.4% |
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| Newfoundland and Labrador | +2.2% |
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| Saskatchewan | +2.1% |
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| British Columbia | +2.0% |
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| Ontario | +1.9% |
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| Alberta | +1.9% |
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| Prince Edward Island | +1.4% |
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<div class="note-to-readers">
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## Note to readers
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The Consumer Price Index measures the rate of price change experienced by Canadian consumers. It is calculated by comparing the cost of a fixed basket of goods and services purchased by consumers over time.
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The CPI is not seasonally adjusted. Month-to-month movements can reflect seasonal patterns in addition to underlying price trends.
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</div>
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<div class="source-info">
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**Source:** Statistics Canada, Table 18-10-0004
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**Survey:** Consumer Price Index
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**Reference period:** July 2025
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</div>

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