Demographics Insights Bundle - Australia Sample

**Overview**
The Demographics Insights bundle features a collection of Precisely products which have been optimized to derive insights through machine learning and AI analytics. The bundle contains over 950 variables which have been selected to maintain consistency across statistical areas and 4-digit postcodes.

This sample data set covers the Melbourne and Sydney areas. This represents a subset of the full product’s geographic extent. The full commercial offering features geographic coverage of Australia. Contact [e-mail] for more information on licensing the product.

**Use cases**
**Audience Segmentation**
Postcode-level Census Demographics with current and future estimates of population by age and gender enhance your segmentation activities.
**Demand Forecasting**
Postcode-level Consumer Spend Potential can provide insights into likely spending habits for a region to support your go-to-market decisions.
**Economic Impact Analysis**
Census-based, estimated current and future demographics, and current-year income estimates can provide insights into communities to assist understanding the like impact of positive and negative events.
**Population Health Management**
Based on Household Expenditure Surveys and other specific inputs, the postcode level trends of consumer spend potential can provide insights into positive and negative health impacts. Also included are Census, current and estimated age and population counts, linking in key demographic attributes.
**Accelerating Advertising Revenue**
Use the Census-based demographics, estimated current and future demographics of an area, the spend potential on various product types, and current-year income estimates to better target postcodes that best fit your advertising strategy.

**Product details**
The product features three main categories for deep analysis.
- Estimates and Projections make it easy to understand current population characteristics and movements while helping to predict future changes in the demographic landscape.
- Consumer Expenditure provides consumer spending data across a broad range of categories. Annual expenditures are calculated using the ratio between disposable income, demographics, and expenditures for products and services derived from household budget surveys from national statistical offices.
- Current ABS Census data is also provided. The product also offers multiple field header options to enable broader textural analysis.

Data Sets
- The Demographics Insights Bundle consists of 12 tables. There are four tables for each of the three main categories featured in the product. Each category option features a variables and schema table as well as three tables containing the data itself. The three data content tables provide the same data with different header options optimized for different usage scenarios.
- Consumer Spend Potential includes a variables and schema table and three data tables: one with a long header name, a second with a medium length header name, and a third with a short header name.
- Population Estimates and Projections includes a variables table, schema table and three data tables: one with a long header name, a second with a medium length header name, and a third with a short header name.
- Base Demographics includes a variables table, schema table and three data tables: one with a long header name, a second with a medium length header name and a third with a short header name.

Data Set Content Includes but is not limited to:
- Over 950 total variables (attributes) for the entire bundle.
- 505 total variables related to consumer spending potential in Australia Including the below:
- 136 consumer spending variables specific to food non-alcoholic beverages
- 102 recreation variables
- 72 household furnishings and goods variables
- 203 total variables related to population estimates and projections including the breakdowns below:
- 102 current year variables covering daytime population, income, household composition and population by gender and age.
- 77 five-year forecast variables covering household composition and population by gender and age
- 12 forecast variables for both ten- and fifteen-year forecasts for population by gender and age
- 268 variables for ABS Census data covering by the below:
- Gender
- Birthplace
- Language
- Household composition
- Age
- Education
- Religion
- Housing
- Profession

Attributes Include but are not limited to:
- The overall product bundle contains over 950 attributes or variables
- Current ‘Usually’ Resident Population year
- Current year and future projections for 5, 10, 15 years: population 0 to 14 years
- Current year and future projections for 5, 10, 15 years: 15 to 64
- Current year and future projections for 5, 10, 15 years: 65 or older
- Current year and future projections for 5, 10, 15 years: Female Population
- Current year and future projections for 5, 10, 15 years: female population 0 to 14 Years
- Current year and future projections for 5, 10, 15 years: female population 15 to 64
- Current year and future projections for 5, 10, 15 years: female population 65 or older
- Current year and future projections for 5, 10, 15 years: male population
- Weekly household income as fifteen unique income ranges
Age ranges by household (multiple variables as unique attributes)
- Over 500 consumer spending attributes. Examples:
Consumer spend potential in AUS dollars (canned, frozen, bottled, dried fruit, etc.)
- Consumer spend potential in AUS dollars (chocolate, confectionary)
- Consumer spend potential in AUS dollars (personal care oral hygiene)
- Consumer spend potential in AUS dollars (personal care shampoo and body wash)
- Consumer spend potential in AUS dollars (rum - on and off premise)
- Consumer spend potential in AUS dollars (Online food and groceries)
- Consumer spend potential in AUS dollars (Online music, video, games, software)
- Consumer spend potential in AUS dollars (Online cosmetics, toiletries)
- 276 unique attributes related to the current Australia census

Example Use Cases
- Understand the demographic makeup of a specific geography
- Define sales territories or service areas
- Develop detailed market profiles
- Develop target market areas
- Develop consumer spending models at the postcode level
- Identify population characteristics in a particular area
- Inform site selection projects and advertising campaigns

Usage:
- Query detailed population statistics by postcode
- Understand population characteristics at the postcode level
- Query detailed demographic factors specific to households by postcode
- Query property related statistics by postcode
- Derive postcodes matching consumer spending criteria
- Derive postcodes based on detailed demographic profiles
- Identify specific postcode areas based on detailed, product specific data

**Additional Insights**
https://help.precisely.com/r/t/1014166806/2023-12-31/Estimates-and-Projections-Australia/pub/Latest/en-US/Estimates-and-Projections-Australia-Product-Guide/Introduction

https://www.precisely.com/data-guide/products/demographic-data-insights-bundle