Pembroke Pines Community Survey 2026

What this is

A citywide check-in on how residents feel about Pembroke Pines, run by an independent firm.

The 2026 Pembroke Pines Community Survey is a citywide check-in on how residents feel about life in Pembroke Pines and the services the City provides. It was conducted for the City of Pembroke Pines by PCG (Public Communicators Group), an independent research and communications firm.

The survey is now closed, and the figures shown here are final. You can explore results across all 17 questions: 15 rated or closed-ended questions and 2 open-ended questions where residents wrote in their own words.

How it was conducted

1,933 residents responded over four days in July, each matched to a City Commission district.

Responses were collected through an online survey collector between July 6 and July 9, 2026, a four-day window. In total, 1,933 residents took part.

Each response was matched to one of the four City Commission districts using the City’s own mapping (GIS), so results can be viewed by area:

• District 1: 324 responses
• District 2: 635 responses
• District 3: 476 responses
• District 4: 498 responses

Weighted and unweighted views

The dashboard opens in the weighted view, an estimate adjusted to mirror the city’s registered voters; one switch shows the raw responses instead.

Every number on this dashboard can be viewed two ways using the Weighted / Unweighted switch at the top. Weighted, the default view, adjusts the results through a process called raking to better mirror Pembroke Pines’ 100,067 active registered voters by age, gender, race, party and district. Unweighted shows the raw responses exactly as residents submitted them. Counts of written comments are always raw counts.

The people who responded skew somewhat older and are more likely to own their home than the city overall, which is why the weighted view is the default. Weighted figures are modeled estimates, with a modeled band of +/-2.9 points and an effective sample size of roughly 1,135.

How precise the numbers are

The weighted results carry a modeled band of +/-2.9 points; read district gaps as direction, not decimals.

This was an opt-in survey of residents reached through the city’s registered-voter file, not a random sample of the general population, so the honest measure of precision is a modeled band rather than a classical margin of sampling error. The weighted citywide figures carry a modeled band of +/-2.9 points, from an effective sample of roughly 1,135. Weighting corrects the mix of who answered, and widens that band in the process.

Switching to the Unweighted view shows the raw responses as submitted; on that raw sample of 1,933 the conventional margin of error would be +/-2.2 points at 95% confidence. That figure describes the raw counts only, and does not carry over to the weighted estimates the dashboard shows by default.

District-level results are based on a few hundred responses each, so read differences between districts as general direction rather than exact decimals.

How to read the numbers

A “% positive” score is not a grade: 46% satisfied does not mean 54% are dissatisfied.

Many questions report a “% positive” figure, also called the top-2 box. This is the share of residents who chose one of the two most positive answers, such as “Very satisfied” plus “Satisfied,” combined into a single number.

The remaining share is not dissatisfaction. On most measures the majority of it is “Neutral.” Code enforcement, for example, reads 46% satisfied, but 13% are dissatisfied; the other 41% are neutral. Every score on this dashboard is shown with its full split of satisfied, neutral and dissatisfied, so you can see the whole picture rather than inferring it.

Residents who answered “N/A,” meaning they don’t use a service, are left out of that service’s figure entirely, and are not counted as dissatisfied either. On public transportation that is roughly one resident in four, so its score reflects only the residents who actually rated it.

For the two open-ended questions, written comments were read and grouped into themes. Representative quotes appear in residents’ own words, with only personally identifying details removed.