13 /Canada province evidence profile
Canada province evidence profile
New Brunswick: a public-data profile for digital planning
New Brunswick is one of 13 reviewed Canadian province profiles. Its April 2026 population estimate is 866,497, -0.06% from April 2025. The 2025 geography snapshot contains 12 census divisions and 109 census subdivisions linked to this province. These fields establish scale, recency and hierarchy; they do not establish buyer intent, search volume or a Mosalio location.
01 / Data snapshot
What the two reviewed Statistics Canada sources record
02 / Evidence interpretation
Three distinct readings, kept within their source limits
Population scale
New Brunswick ranks 8 of 13 by April 2026 estimated population and represents +2.09% of the national estimate. That places population scale in the middle half of the reviewed set. For a public website, this is a reason to test whether broad navigation labels and search tools remain understandable across a large information space—not a reason to manufacture location pages.
One-year trajectory
The estimate changed by -517 people between April 2025 and April 2026, or -0.06%. This is a comparatively stable one-year population estimate and ranks 7 of 13 on the same measure. Because the 2026 estimate is preliminary postcensal data, the appropriate response is dated copy, clear source periods and a planned review cycle rather than a permanent growth claim.
Statistical geography
Statistics Canada's 2025 hierarchy records 109 census subdivisions across 12 census divisions for New Brunswick, or 9.1 subdivisions per division. The subdivision count sits at the 42.3th percentile of this finite cohort. Census divisions and subdivisions are statistical geography; they are not interchangeable with cities, service areas or legal municipal status.
03 / Portfolio distinction
The three readings furthest from the 13-profile midpoint
leading subdivision type-code share: +27.5%
This value sits at the 19.2th percentile in the lower quarter of the 13-profile Canada set. Its 30.8-point distance from the portfolio midpoint makes it one of this profile's three strongest distinguishing signals; it is evidence for a design question, not proof of search demand or commercial opportunity.
subdivisions per census division: 9.1
This value sits at the 19.2th percentile in the lower quarter of the 13-profile Canada set. Its 30.8-point distance from the portfolio midpoint makes it one of this profile's three strongest distinguishing signals; it is evidence for a design question, not proof of search demand or commercial opportunity.
distinct subdivision type codes: 7
This value sits at the 34.6th percentile in the middle half of the 13-profile Canada set. Its 15.4-point distance from the portfolio midpoint makes it one of this profile's three strongest distinguishing signals; it is evidence for a design question, not proof of search demand or commercial opportunity.
Complete evidence order
Read from the lowest to the highest percentile in the fixed 13-profile benchmark, New Brunswick's complete evidence order is subdivisions per census division (lower quartile); leading subdivision type-code share (lower quartile); distinct subdivision type codes (middle half); April 2026 population estimate (middle half); share of Canada's April 2026 estimate (middle half); 2025 census-division count (middle half); 2025 census-subdivision count (middle half); one-year population change (middle half). Keeping this eight-measure sequence visible prevents one population, change or hierarchy value from being promoted as a market conclusion without its neighbouring evidence.
04 / Source structure
Subdivision type-code mix
The source contains 7 distinct subdivision type codes for New Brunswick. Code TV is most frequent at 30 records (+27.5%), followed by VL (21) and IRI (20). The mix is distributed across several source type codes. Codes are preserved exactly and are not expanded into unverified legal labels.
- Statistics Canada code TV
- 30 records · +27.5%
- Statistics Canada code VL
- 21 records · +19.3%
- Statistics Canada code IRI
- 20 records · +18.3%
- Statistics Canada code RCR
- 17 records · +15.6%
- Statistics Canada code RDR
- 12 records · +11.0%
- Statistics Canada code C
- 8 records · +7.3%
- Statistics Canada code MRM
- 1 records · +0.9%
05 / Controlled comparison
Different peers for different questions
Nova Scotia is the closest reviewed population-scale comparator. New Brunswick differs by -224,355 people in the April 2026 estimates; that comparison controls for scale before teams compare navigation depth or publishing capacity.
Northwest Territories is the nearest match across the 2025 division, subdivision and type-diversity fields. The difference is 68 subdivisions and 6 census divisions, so it is a practical control for testing directory depth without treating either hierarchy as a sales territory.
Saskatchewan has the closest remaining one-year population-change rate. New Brunswick's rate differs by -0.18%, a narrow temporal comparison that can inform update cadence but cannot explain demand, intent or individual behaviour.
06 / Falsifiable question set
Questions to validate before changing a website
- 01
Does a 8-of-13 population position require more than one primary path to high-frequency tasks?
Test this with task completion and search-log evidence; the 866,497 estimate alone cannot identify user intent.
- 02
Can users understand a hierarchy spanning 12 divisions and 109 subdivisions without learning source-specific geography codes?
Prototype labels and search facets against real content. Preserve the statistical hierarchy in data, but translate it into plain interface language only after factual review.
- 03
Which claims need a visible reference date when the one-year estimate moved -0.06%?
Audit every population-dependent statement for a source period, owner and update trigger; do not turn a preliminary estimate into an evergreen trend.
- 04
Does the +27.5% leading-code share support one directory pattern or several?
Compare findability for the leading code with the remaining 6 codes. A source distribution is a test input, not a navigation decision.
07 / Practical brief
Evidence-led website planning recommendations
- 01
Keep dates attached to population statements
Label April 2025 and April 2026 explicitly, retain the preliminary-status note, and schedule review when Statistics Canada revises table 17-10-0009-01.
- 02
Model hierarchy before adding routes
Represent the 12-by-109 source structure in a content model first. Create a public URL only when it answers a distinct, validated user need.
- 03
Test against three controlled peers
Use Nova Scotia, Northwest Territories, Saskatchewan as transparent comparators for scale, geographic structure and change rate. Keep each comparison tied to its stated metric.
- 04
Measure usefulness, not URL volume
Track successful task completion, qualified enquiries and content maintenance. Consolidate any route that duplicates another page or attracts no distinct user need.
08 / Method and limits
What this profile can—and cannot—support
This profile combines two Statistics Canada products with explicit dates: April 2025 and April 2026 province/territory population estimates, and the January 1, 2025 census-subdivision hierarchy. It does not reproduce boundary geometry, infer municipal status from type codes, measure search demand, predict rankings, describe individuals, or claim a Mosalio office, employee, client, partner or physical service presence in New Brunswick.
Q2 estimates refer to April 1. The April 2026 values are preliminary postcensal estimates; April 2025 values are updated postcensal estimates.
Adapted from Statistics Canada, Census Subdivision Boundary File, 2025, January 1, 2025, and Table 17-10-0009-01, Population estimates, quarterly. This does not constitute an endorsement by Statistics Canada of this product.
This deterministic profile was published and reviewed on . Its calculations are reproducible from a pinned 28-row population subset and the reviewed 2025 geography snapshot. Search engines independently decide whether and when to crawl, index or rank the page.
Open population tableOpen geography sourceRead the open licence