Reporting Dashboard (1)
The City of Spruce Grove’s Reporting Dashboard uses key data to monitor and share important information about our community and the City’s programs and services. It tracks data over time, telling us what we're doing well and where more focus and attention may be needed. The dashboard groups data sets into themes and identifies targets and/or trends for each data set.
Dashboard current as of September 30, 2023.
Explore
Trend is increasing
Trend is decreasing
Trend remains the same
Population and demographics
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Population 2023 38,985 residents 
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Median age 2023 38.0 years old -
Avg. household size 2023 2.6 
Development and construction
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Building permits Q1, Q2, Q3 2023 855 permits -
Building permit construction value Q1, Q2, Q3 2023 $223 million
Permit processing times
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Residential new construction Q3 2023 31 calendar days -
Residential improvements requiring development permit Q3 2023 27 calendar days -
Residential improvements not requiring development permit Q3 2023 18 calendar days -
Non-residential improvements requiring development permit Q3 2023 36 calendar days -
Non-residential improvements not requiring development permit Q3 2023 18 calendar days
Local economy
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Retail vacancy rate Sep. 2023 3.2% -
Office vacancy rate Sep. 2023 5.7% -
Industrial vacancy rate Sep. 2023 1.0% -
Business licences Sep. 2023 832
Community safety
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Fire services response time 2022 87%* of the time target met *Target: 90% of the time 320 seconds or less -
Fire-related calls Q1, Q2, Q3 2023 494 -
Medical-related calls Q1, Q2, Q3 2023 4,573 -
Enforcement complaints Q1, Q2, Q3 2023 2,863 -
Enforcement charges Q1, Q2, Q3 2023 2,204
Website and social media
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Website Q3 2023 258,102 visits -
Facebook Sep. 2023 13,569 followers -
Instagram Sep. 2023 4,502 followers -
LinkedIn Sep. 2023 4,526 followers -
Twitter Sep. 2023 6,735 followers
Environment
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Residential solid waste collected (black bin) Q3 2023 170 average kg per household -
Residential recycling collected (blue bag) Q3 2023 23 average kg per household -
Residential organics collected (green bin) Q3 2023 121 average kg per household -
Residential solid waste diverted from landfill 2022 37.6%
Transit
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On-demand transit Sep. 2023 4,248 passenger trips -
Commuter transit Sep. 2023 13,970 passenger trips
Finances
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Property Assessment Split 2023 83/17 residential vs. non-residential -
Property Tax Revenue Split 2023 76/24 residential vs. non-residential
About this data
This data represents the population estimate for the city based on the latest and historical data from either the municipal or national census.
How we measure this data
As part of the municipal census, enumerators gather data from residents. Every five years Statistics Canada conducts a national census, which provides population estimates for the city. Population from Statistics Canada is reported based on the census subdivision (CSD) which is an area treated as an equivalent to a municipality for statistical purposes.
Why this measurement is important
The data helps the City understand immediate and future needs and to plan for recreational spaces, community facilities, roadways, maintenance and equipment, emergency services, waste management and more.
About this data
The median age provides an important single indicator of the age distribution of a population. It provides the age ‘midpoint’ of a population; there are the same number of people who are older than the median age as there are younger than it.
How we measure this data
Every five years Statistics Canada conducts a national census, which provides age-related data for the city.
Why this measurement is important
The data helps the City understand immediate and future needs and to plan for recreational spaces, community facilities, roadways, maintenance and equipment, emergency services, waste management and more.
About this data
Average household size is defined as the average number of persons per housing unit. It is the average number of people living per household.
How we measure this data
Every five years Statistics Canada conducts a national census, which provides the average household size for the city.
Why this measurement is important
The data helps the City understand immediate and future needs and to plan for recreational spaces, community facilities, roadways, maintenance and equipment, emergency services, waste management and more.
About this data
This data shows the total number of all building permits issued including residential and non-residential.
How we measure this data
It is calculated by adding up all the building permits issued.
Why this measurement is important
It provides insight on the magnitude of current construction, which is an indicator of the overall economic growth of the city.
About this data
This data shows the total construction value of all building permits issued including residential and non-residential.
How we measure this data
It is calculated by adding together the total construction dollar value of all building permits issued.
Why this measurement is important
It provides insight on the magnitude of current construction, which is an indicator of the overall economic growth of the city.
About this data
The retail vacancy rate describes the percentage of commercial retail space that is unoccupied and available for lease at a particular time.
How we measure this data
As reported by CoStar Group.
Why this measurement is important
It provides insight on the availability and demand for leasable commercial retail space, which is an indicator of the overall economic health of the city.
About this data
The office vacancy rate describes the percentage of commercial office space that is unoccupied and available for lease at a particular time.
How we measure this data
As reported by CoStar Group.
Why this measurement is important
It provides insight on the availability and demand for available commercial office space, which is an indicator of the overall economic health of the city.
About this data
The industrial vacancy rate describes the percentage of available industrial space that is unoccupied and available for lease at a particular time.
How we measure this data
As reported by CoStar Group.
Why this measurement is important
It provides insight on the availability and demand for available industrial space, which is an indicator of the overall economic health of the city.
About this data
This data represents the fire-related call volume.
How we measure this data
Total number of fire-related calls received.
Why this measurement is important
It provides insight into the overall pattern of responses and demand for response services.
About this data
This data represents the percentage of time the Total Response Time target was met.
How we measure this data
Total Response Time is calculated by adding together the dispatch time, the turnout time, and the travel time. It represents the time interval from the receipt of the initial call for assistance at the dispatch centre, until the arrival of the responding unit at the incident.
Why this measurement is important
It is measured to evaluate and benchmark against international standards, provincial regulation, and City policy. It helps assess department’s response availability, optimize its capability, and evaluate operational effectiveness.
About this data
This data represents the percentage of time the Call Dispatch Time target was met.
How we measure this data
It is calculated by measuring the time interval from the receipt of the initial call for assistance at the dispatch centre to when the dispatch centre provides an address to respond to.
Why this measurement is important
It is measured to evaluate and benchmark against the NFPA standard and for reporting purposes.
About this data
This data represents the percentage of time the Response Time target was met. Response time represents the turnout time and travel time added together and does not include dispatch time.
How we measure this data
It is calculated by measuring the time interval from when the dispatch centre provides an address to respond to until the first unit's arrival on the scene.
Why this measurement is important
It is measured to evaluate and benchmark against international standards, provincial regulation, and City policy. It helps assess department’s response availability, optimize its capability, and evaluate operational effectiveness.
About this data
This data represents the medical-related call volume.
How we measure this data
Total number of medical-related calls received.
Why this measurement is important
It provides insight into the overall pattern of responses and demand for response services.
About this data
This data represents the number of citizen-initiated and officer-initiated complaints.
How we measure this data
Total number of all complaints received through the various reporting options including online, phone, and front-counter.
Why this measurement is important
It provides an indication of residents' general compliance with bylaws and assesses community safety. It also provides insight into the overall pattern of complaints and demand for enforcement services.
About this data
This data represents the number of charges laid.
How we measure this data
Total number of charges laid as a result of both citizen-initiated and officer-initiated complaints.
Why this measurement is important
It provides an indication of residents' general compliance with bylaws and assesses community safety.
About this data
This data represents the year-over-year year-to-date comparison of the total number of website pages viewed.
How we measure this data
Total number of pages viewed on the City's website. Repeated views of a single page are counted.
Why this measurement is important
It measures the size of our online audience which indicates the number of people who may access information on the City’s website.
About this data
This data represents the number of users who follow the City's Facebook page.
How we measure this data
As reported by Facebook. Prior to 2022 Facebook page popularity was measured by “Likes”. Facebook has since changed that measurement for certain types of pages, including the City’s, to “Followers”. Although these metrics are similar, the data is different enough that comparing previous years is not accurate.
Why this measurement is important
It measures the size of our online audience which indicates the number of people who may see the City’s posts in their feed.
About this data
This data represents the number of users who follow the City's Instagram page.
How we measure this data
As reported by Instagram.
Why this measurement is important
It measures the size of our online audience which indicates the number of people who may see the City’s posts in their feed.
About this data
This data represents the number of users who follow the City's LinkedIn page.
How we measure this data
As reported by LinkedIn.
Why this measurement is important
It measures the size of our online audience which indicates the number of people who may see the City’s posts in their feed.
About this data
This data represents the number of users who follow the City's Twitter page.
How we measure this data
As reported by Twitter.
Why this measurement is important
It measures the size of our online audience which indicates the number of people who may see the City’s tweets in their feed.
About this data
This data represents the year-over-year year-to-date comparison of the average household curbside black bin solid waste collected in kilograms (kg).
How we measure this data
It is calculated by taking the total weight of black bin solid waste collected in kilograms from households in a given period and dividing by the total number of households.
Why this measurement is important
It is measured to determine the overall effectiveness of the City's residential solid waste diversion programs.
About this data
This data represents the year-over-year year-to-date comparison of the average household curbside blue bag recycling collected in kilograms (kg).
How we measure this data
It is calculated by taking the total weight of blue bag recycling collected in kilograms from households in a given period and dividing by the total number of households.
Why this measurement is important
It is measured to determine the overall effectiveness of the City's residential solid waste diversion programs.
About this data
This data represents the year-over-year year-to-date comparison of the average household curbside green bin organics collected in kilograms (kg).
How we measure this data
It is calculated by taking the total weight of green bin organics collected in kilograms from households in a given period and dividing by the total number of households.
Why this measurement is important
It is measured to determine the overall effectiveness of the City's residential solid waste diversion programs.
About this data
This data represents the proportion of curbside waste diverted from the landfill through programs such as organics and blue bag recycling.
How we measure this data
Residential waste diversion is calculated by dividing the total amount of organics and recycling collected at the curbside by the total waste collected at the curbside and represents the proportion of waste diverted from the landfill. The data does not include the amounts collected at the Eco Centre.
Why this measurement is important
It is measured to determine the overall effectiveness of the City's residential solid waste diversion programs.
About this data
This data represents the total number of passenger trips made on the on-demand transit service.
How we measure this data
As reported by the City's service provider.
Why this measurement is important
This data provides insight on the relative demand for public transportation.
About this data
This data represents the total number of passenger trips made on the commuter transit service.
How we measure this data
As reported by Edmonton Transit.
Why this measurement is important
This data provides insight on the relative demand for public transportation.
About this data
This data represents the number of requests for services related a spectrum of housing needs including access to emergency shelter, temporary and long-term housing options, and support with tenancy breakdown.
How we measure this data
Reported from the Family and Community Support Services Information and Referral front desk, as well as from new and existing clients as supported through the Case Management Program and Regional Housing Program.
Why this measurement is important
It provides insight on the demand for housing needs and other related social support services in the community.
About this data
This data represents the number of requests for support in accessing provincial and federal government financial benefits.
How we measure this data
Reported from the Family and Community Support Services Information and Referral front desk, as well as from new and existing clients as supported through the Case Management Program.
Why this measurement is important
It provides insight on the demand for financial benefits and other related social support services in the community.
About this data
This data represents the number of requests for services related to mental health and wellness programs and services.
How we measure this data
Reported from the Family and Community Support Services Information and Referral front desk, as well as from new and existing clients as supported through the Case Management Program.
Why this measurement is important
It provides insight on the demand for mental health and wellness programs and services and other related social support services in the community.
About this data
This data represents the number of requests for support related to access to food, clothing, transportation, and other one-time expenses.
How we measure this data
Reported from the Family and Community Support Services Information and Referral front desk, as well as from new and existing clients as supported through the Case Management Program.
Why this measurement is important
It provides insight on the demand for services related to basic needs and other related social support services in the community.
About this data
How we measure this data
Why this measurement is important
About this data
The data represents the proportion of tax revenue that comes from residential vs. non-residential ratepayers.
How we measure this data
The proportion of tax revenue that comes from residential vs. non-residential ratepayers is calculated annually after the final tax rates have been determined.
Why this measurement is important
It provides insight on achieving financial sustainability and maintaining reasonable and competitive levels of taxation for both residential and non-residential ratepayers.
About this data
The data represents the number of local businesses with an active business licence. It includes contractors, home occupations, and non-profit organizations and excludes temporary businesses and mobile vendors.
How we measure this data
Total number of businesses with an active resident business licence at the end of each quarter.
Why this measurement is important
It provides insight on the overall economic health and growth of the city.
About this data
The data represents the typical total customer wait time for residential new construction permit issuance (building permit and development permit combined).
How we measure this data
Permit processing time is calculated from the time a complete development permit application is submitted to when the associated building permit is issued. To calculate the average 90th percentile, the top 10% of outliers are removed and an average is performed on the remaining values. This provides the most common wait time that most customers would experience.
Why this measurement is important
It is measured to evaluate and monitor the efficiency of permit services and to create transparency around permit processing times.
About this data
The data represents the typical total customer wait time for residential improvement permit issuance requiring a development permit (building permit and development permit combined).
How we measure this data
Permit processing time is calculated from the time a complete development permit application is submitted to when the associated building permit is issued. To calculate the average 90th percentile, the top 10% of outliers are removed and an average is performed on the remaining values. This provides the most common wait time that most customers would experience.
Why this measurement is important
It is measured to evaluate and monitor the efficiency of permit services and to create transparency around permit processing times.
About this data
The data represents the typical total customer wait time for residential improvement permit issuance not requiring a development permit (building permit only).
How we measure this data
Permit processing time is calculated from the time a complete building permit application is submitted to when the building permit is issued. To calculate the average 90th percentile, the top 10% of outliers are removed and an average is performed on the remaining values. This provides the most common wait time that most customers would experience.
Why this measurement is important
It is measured to evaluate and monitor the efficiency of permit services and to create transparency around permit processing times.
About this data
The data represents the typical total customer wait time for non-residential improvement permit issuance requiring a development permit (building permit and development permit combined).
How we measure this data
Permit processing time is calculated from the time a complete development permit application is submitted to when the associated building permit is issued. To calculate the average 90th percentile, the top 10% of outliers are removed and an average is performed on the remaining values. This provides the most common wait time that most customers would experience.
Why this measurement is important
It is measured to evaluate and monitor the efficiency of permit services and to create transparency around permit processing times.
About this data
The data represents the typical total customer wait time for non-residential improvement permit issuance not requiring a development permit (building permit only).
How we measure this data
Permit processing time is calculated from the time a complete building permit application is submitted to when the building permit is issued. To calculate the average 90th percentile, the top 10% of outliers are removed and an average is performed on the remaining values. This provides the most common wait time that most customers would experience.
Why this measurement is important
It is measured to evaluate and monitor the efficiency of permit services and to create transparency around permit processing times.
About this data
The data represents
How we measure this data
The.
Why this measurement is important
It provides insight .
About this data
The data represents the proportion of total property assessment value that comes from residential and non-residential assessment for Spruce Grove.
How we measure this data
The proportion of property assessment that comes from residential vs. non-residential properties is calculated annually after the assessment data for all properties is available. Assessment values are based on market values as of July 1 of the previous year.
Why this measurement is important
It is measured to assess the growth in the residential vs. non-residential sectors and provides insight on achieving financial sustainability and maintaining reasonable and competitive levels of taxation.