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PCensus Demographic Profiling Software

PCensus Analyst - Demographic Profiling and Target Marketing Software
PCensus Analyst - Demographic Profiling and Target Marketing Software PCensus Analyst is an essential demographic profiling software for retailers, franchisors, market researchers, sales managers, banks, hospitals, realtors, urban planners, franchisors, educators, engineers, land developers, police, utilities, government, TV/radio broadcasters, political strategist or anyone who want to know all about the characteristic of people living in an area they [could] service and/or who want to find all the individual areas where people live that [could] use services they provide. PCensus Anayst allows users to evaluate locations, find markets and gain knowledge on their customers. The software makes it easy to retrieve population, income and demographic profiles for locations you define and find target market areas that match the lifestyle and geo-demographic profiles of the people you described anywhere in Canada, United States and Puerto Rico.

Unlike other site location software, PCensus Analyst seamlessly integrates GIS Mapping functions from MapInfo Professional ESRI ArcView, ArcGIS and MapPoint to display maps, locate study areas, define trade areas, polygons, drive-time zones and thematically map the significant demographics, incomes or any other population characteristics. PCensus Analyst allows you to search by market area, place name or street address. PCensus Analyst also can create presentation-quality thematic maps based on the key demographic variables and target areas you are interested in. PCensus Analyst is available with a choice of demographic data sources (Statistics Canada, US Census, MapInfo / Pitney Bowes Software, Environics, PSYTE, Claritas or AGS) to which the user can also append their own customer/client data (sales, number of visits, services provided, number of calls, polls, votes, students, hits, etc...) for market penetration analysis.

PCensus Analyst is essential for:

  • Site Location and Market Penetration Analysis
  • Determining Market Potential
  • Demographic Profiling
  • Target Marketing, Direct Mail and Flyer Distribution
  • Comparing Trade Areas and Analysis
  • Transportation and Route Planning
  • Drive-Time Analysis
  • Set-up of Franchise Territories and Competitor Analysis
  • Transmitter Broadcast Coverage
  • Municipal and Public Service Planning
  • Fund-raising Campaigns

Key Features:

Profiling gives you a complete demographic report for a geographic area that you describe using circles, polygons (neighborhoods or trade areas) or drive times. You can also display data for standard census areas (provinces, census metro areas, subdivisions, census tracts or dissemination areas) or postal FSAs.

Finding Target Areas means describing a population segment using selected demographics (e.g. households with income “greater than $80,000” and head of household with an “average age of 34 to 45 years”). PCensus finds and ranks all the areas (metro areas, census subdivisions, census tracts, dissemination areas or FSAs) that have households that match this demographic profile or Lifestyle.

Import and Link Your data. Customer data (e.g. purchases, no. of visits, services used, etc.) can linked to PCensus demographic databases for market penetration analysis. Use PCode** to append Census DA codes that correspond to the customer’s postal code in their street address.

Significant Benefits of PCensus Analyst:

  • Easy-to-Use Interface and Customization: The Study Area Wizard guides the user through all of the steps required to define Profile reports, Lifestyle Target reports, Thematic Maps or Pointfiles. Point-and-click on a map to define your own circular, polygon, and drive-time study areas. With PCensus, you can make changes quickly and easily: Make report changes with in-place editing. Double click a report line to alter the text description, format or formula. You don't even need to re-search the demographic data database. Study areas can be easily changed; revise the radii or drive-times and run new demographic profiles. Lifestyles can be easily modified; add a new dimension or change a filter value and a new set of target areas are retrieved.
  • On-line Help: Context sensitive help is available for all screens and dialog boxes via Help buttons or F1 key. The Help system also provides background information program operation and on the Census geography of the United States and Canada.
  • Defining Geographic Study Areas: Retrieve Demographic Profiles or find Target Areas in User-defined study areas described with: Circular areas; e.g 0-.5, 0-1, 0-3 miles, Polygons; e.g. Sales territory, TV region, Drive-time area; e.g. 8 min. to drive. The location of circular or drive-time areas can be defined by: entering long-lat coordinates, street address/intersection, pointing and clicking on a displayed map or selecting a place name. The location of a polygon area can be defined by: entering long-lat coordinates of vertices, tracing on a displayed map or loading a previously saved file of coordinates (e.g. broadcast contours). Standard Study Areas: Retrieve Demographic profiles or find Target Areas in Standard Census and Postal Areas: United States / Puerto Rico, Canada, State, Province, County/Municipio, Census Division, Place, Census Subdivision, MSA Census Metropolitan Area, Census Tract Census Tract, Block Group, DA/EA, Postal 5-Digit Zip Code Postal Forward Sortation Area (FSA). Standard census areas or postal areas are easily selected from a list to retrieve their demographics. Standard areas can be combined to crate a new area; e.g. several counties or Zip codes can be added together to make a new territory. Study areas can be complex with multiple and overlapping circles and polygons; e.g. the area could be that part of a circle that is also within a polygon. Profiles can be for areas that are either within (the usual situation) or outside of the defined study area.
  • Profile Reports: Profiling tells all about the population in the study area you define. PCensus profile reports include categories of demographic variables grouped together on single pages; e.g. income data. You can customize reports and their layout to include specific demographic variables, calculate percentages, display a dominant variable in a group (e.g. the dominant "income category"), add comments, format columns and line spacing. Profiles for different locations are displayed side-by-side for easy comparison. This lets you answer questions such as "Which area has the most potential consumers?" There is no limit to the number of study areas (e.g. franchise locations) you can compare in a project. In addition, the profile report browser has unprecedented flexibility: Columns can be reordered and sized by dragging. Text can be highlighted using color, bolding or italics. True indentation allows better organization of complex reports, including indentation of long, wrapping lines. “Find” control is useful for finding a specific data item in a large database, ie. to locate lines containing the words “Average Income”. Dominant Group now lists the Top “n” in a group, instead of listing only the dominant entry.
  • Benchmarking and Indexing: Designate a study area column as a Benchmark ie. all of USA and compute indexes for variables in another column/ study area ie. California.
  • Target Reports: Targeting finds all the areas that contain people or households that match a Lifestyle you define. Lifestyles: The userdefined Lifestyle lets you specify the variables that define target areas to be found. The Lifestyle is composed of Dimensions which are based on demographic variables; e.g. "average age" of the population. A Lifestyle can have any number of dimensions. These dimensions can be based on variables from several databases; e.g. demographics and consumer spending. There is no limit to the number of dimensions of a lifestyle. Use Filters to place limits on the value of a dimension; e.g. the average age in an area must be "> 30 years" or it is rejected as a target area. For example, the Lifestyle "Friends of Elvis" describes households where the head-of-household is: Age 45 to 55, Blue collar occupation, Completed high school, Purchases large amounts of peanut butter & bananas (his favorite food). PCensus finds and ranks all the target areas (e.g. places, counties, census tracts, etc) that have households matching this Lifestyle - sorry Memphis but you did not make the list! Target Reports: PCensus target reports list the target areas (those that match the Lifestyle definition; e.g. well-off pet owners) ranked in descending/ascending order based on values of one of the Lifestyle dimensions; e.g. sort target areas in descending order of "average household income." Non-target areas (those that did not match the Lifestyle definition) can also be displayed. The complete demographic profile for any individual target area can also be displayed.
  • Demographic Databases: Choose from a number of databases including demographics, consumer spending, workplace population, market segments, etc. Variables from these databases can be combined together in reports; e.g. household demographics with consumer spending. Database variables can be combined to create new data variables; e.g. children per family, population age 10 to 24 years, etc.. PCensus QUICKLY retrieves demographics for a study area profile or target areas. The map display shows the location of the records as they are found. This visual check confirms that data has been retrieved in the study area you defined.
  • Use Your Data With PCensus Analyst: User's data records (e.g. client data with their address or zip code) can be imported and linked to PCensus databases. This allows comparison of your data with demographics for further analysis; e.g. market penetration studies.
  • Census Block Precision: PCensus Analyst can retrieve demographics with census block precision. Using a block retrieval process substantially enhances the resolution of data retrieval for circles, polygons and drive time areas. A method of data prorating census blocks “on-the-fly” keeps database sizes to a reasonable level. Country Basic Geographic Unit Number of Blocks Improvement in Precision: Name, Number, United States, Block Group 208,648 / 8,262,363 ~40 times, Canada Dissemination Area (DA) 56,204 / 478,707 ~10 times Block Groups or DAs: Blocks in the same area.
  • Median Variable Calculations: Medians are calculated dynamically on the basis of distributions (for example households by income), allowing display of accurate median values even in study areas that aggregate data from multiple database records.
  • Mapping Made Easy, Built-in Mapping: PCensus makes demographic analysis easy with built-in mapping. Use the built-in mapping interface to defined study areas, find location and create thematic maps. PCensus Analyst works with industry leading mapping software from MapInfo / Pitney Bowes Software Inc., ESRI, and Microsoft MapPoint. Thematic Mapping: Demographics can be used to create thematic maps that depict ranges of values (e.g. household incomes) using colored boundary areas (e.g. census tracts, Zip codes), the size and/or color of symbols, pie charts, and dot density maps.On-the-fly Geocoding: PCensus provides the option to geocode imported data in the Batch Site Processing and Create PCensus Database features. Graphing: Demographics of study area profiles or target areas can be displayed as 3D charts and graphs.
  • "On-the-Fly" Report Editor and Advanced Reporting: Batch Site Reporting and Printing ENHANCED: PCensus Analyst lets you analyze many locations at once. Create a set of profile reports based on circles or drive time areas around a set of your locations (e.g. retail outlets, restaurants, hospitals, etc). With batch site processing, you can also display individual site results row-by-row in a PCensus Analyst Target List report, to allow quick comparison of their demographic characteristics. Report template editing is integrated with the PCensus browser so that reports can be modified “on the fly”. Some of the features of the template editor include: Cut, copy and paste a report line or group of report lines from one category to another. Edit Line Properties: Change indentation, bolding etc. Modify report line formulae. Support for multiple selection to set indentation etc. for a group of lines. Use drag and drop to reorder lines. Undo changes. Top of Page
  • Export Data: Total values of demographic variables for study area profiles can be exported as Comma Delimited ASCII (.csv), ASCII Text (.txt) and HTML (.htm) files. Values of demographic variables for every record that is inside the study area being profiled (e.g. block group, zip code, etc.) can be exported as a dBase (.dbf) file. Values of demographic variables for each target area can be exported as dBase (.dbf), ASCII Text (.txt) and HTML (.htm) files. The exported HTML files can be read by Excel and saved as spreadsheet (.xls) files.
  • Save Projects to a Microsoft Word Document or HTML for Internet: A one-button control creates a Microsoft Word document containing all the elements of a project, including Profiles, Target lists, Graphs and Maps. The document can be printed or used as a basis for embedding text and graphics in other Office applications. Study Area Profiles can be saved as HTML files (.html) for display in a web browser. HTML files can also be read by Excel and saved as spreadsheet files (.xls).
Related GIS Data
Related GIS Software
Vertical Mapper Digital Elevation Modelling Software

Vertical Mapper - Surface Modeling and Display Software
Enhance geographic data analysis and visualization with the power of grids. Working seamlessly within MapInfo Professional, Vertical Mapper is unmatched as an effective tool to display, manage, and interpret spatial information. Optimize the location of broadcast towers, analyze health issues, visualize elevation, model environmental data, target marketing campaigns, determine centres of criminal activity – the possibilities are endless. Vertical Mapper lets you turn data into valuable information for making better decisions.

Key Advantages

  • Create Grids: Vertical Mapper features modeling tools and a full suite of interpolators based on all standard estimation principles that let you build continuous surfaces, or grids, from existing point files or unmapped tables, regardless of data type. Easy-to-use wizards help novice users achieve meaningful answers while experienced mappers can adjust advanced settings to obtain more sophisticated results.
  • Display Grids: Visualize trends in spatial information easily. Vertical Mapper grid colour settings define data variations and dynamic 3D rendering tools let you bring data to life. View multiple grids within the same scene, apply drapes to any open grid, and determine the degree of transparency for both grids and drape files. Vertical Mapper gives you a wealth of display options to generate impressive and intelligent data representations.
  • Analyze Grids: Enter a whole new world of geographic analysis made possible through grid technology. Whether you need to query and compare multiple layers of information, use complex mathematical expressions to create derivative grids, or perform line of sight analysis with the ViewShed function, Vertical Mapper has robust spatial analysis capabilities that help you gain new insight from your data. is.

Vertical Mapper is essential for:

  • Digital Terrain and Elevation Modeling DEM DTM
  • 3D Surface Modeling and Distance Calculations
  • RF Propagation and Telecommunications Mapping
  • Trade Area Analysis, Store Location, Patronage and Huff Modeling
  • Create accurate surface models from data sets that are very sparsely distributed or very linear in spatial distribution, such as drive test data
  • Determine the new location of a bank machine given the current distribution of customers
  • Estimate mountain tops and valley bottoms
  • Map soil chemistry
  • Interpolate environmental monitoring data such as soil samples where each sample has some degree of error and highly smoothed results are desired.

Key Features - Grid Creations:

  • Grid Import: Vertical Mapper imports a number of formats that represent some of the more commonly distributed grid types. The majority of these file types are grids that represent the elevation of a land surface, more commonly referred to as a digital terrain model (DTMs) or digital elevation models (DEMs). Typical formats include ASCII, ASCII Classified, CRC-500, USGS, Geological Survey of Canada, DTED, Geosoft.
  • Inverse Distance Weighting (IDW) Interpolator: The IDW method is an averaging technique that produces highly smoothed surfaces. The original data points are not honoured and, therefore, calculated values can never be higher than a local maximum or lower than a local minimum.
  • Triangular Irregular Network (TIN) Interpolator: This interpolation method honours the value at each data point and performs some degree of over/under estimation between data points.
  • Rectangular Interpolator: This method of interpolation honours each data point without over/undershooting values between data points. Although processing time is extremely short on any data set, it tends to produce reasonable results only on data sets with regularly space point distribution. This generally occurs when importing raw grid information from other sources.
  • Natural Neighbour Interpolator: This flexible interpolator is not limited by the distribution of points in a data set and gives you the option to perform over/undershooting of values between data points. The Natural Neighbour method also honours each point in the set. Another notable feature is that it does not limit the number of data points used in the calculation of each grid node. Instead, it creates a natural neighbour region for each point and calculates the grid node from every region that touches it.
  • Kriging Interpolator: Kriging is a geostatistical interpolation method that considers both the distance and the degree of variation between known data points when estimating unknown areas. It also provides the ability to create semivariograms that help users understand directional (e.g., north-south, east-west) trends of their data. A unique feature of kriging is the error estimation for each grid node which gives a measure of confidence in the modeled surface. Several different variations of kriging are available including Ordinary, Simple, Universal and Block Kriging, as is the ability to apply a nugget effect when doing multi-directional analysis of the point file.
  • Location Profiler: The Location Profiler modeling tool generates a grid by averaging the distance to all point locations within a given search radius to determine the value of each grid node. By identifying those areas that are the shortest average distance to all or some of the points, the grid can be used to represent geographic centre(s) of activity. The model can be further refined to take into account point weighting and distance decay functions that define the relative influence of each data point.
  • Trade Area Analysis: This tool applies the Huff Model to identify trade areas around one or more store locations. When generating a grid, each grid node is considered to be the location of a potential customer. The calculation involves estimating the probability that a customer at that site (grid node) will patronize a particular store. There are three main variables used in the calculation: the distance to each store within a given search radius, the distance decay curve that weights each store with respect to their distance to the grid node, and an attractiveness value that weights the store with respect to its quantitative and/or qualitative characteristics (e.g., number of parking spaces, product selection, and customer service).
  • Region to Grid: Perform complex queries than cannot be done in vector-based GIS systems by using the Region to Grid tool to convert a MapInfo region file to a grid. The process extracts a value (text or numeric) from a column in the region table and assigns this value to all grid cells that fall inside the region. If the assigned value is numeric, a numeric grid is created. Similarly, if the information taken from the column is a text string, a classified grid is automatically created and all colour attributes of the region file are transferred to the grid.

Typical Applications: Digital Terrain / Elevation Modelling (DTM / DEM), Contour Extraction and Interpolation, Grid Production, Relief Mapping, Demographic Profiling and Trend Analysis.


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