An introduction to indexes
Contents
Topics
This toolkit explains how indexes are useful in allowing us to compare data against a baseline average.
An index figure is commonly included in Population Profile Reports (PPRs) and in geo-demographic profiles. Indexes are a useful way for us to compare a specific group of people (often bookers) to a larger set of the population, the people from a local or regional area for example.
This article explains how indexes have been used to compare the relationship between the same subsets or segments, (in this case Audience Spectrum segments) of two different populations, (in this case a cluster of arts organisation’s bookers and their catchment population) relative to the overall relationship between the two different populations. The indexes help us see the different dynamics between each of the different segments compared with the overall relationship between bookers and catchment population.
The table shows a fictional Audience Spectrum profile based on an Audience Finder geographic cluster. The table compares bookers in the cluster with the population of the wider catchment area.
An index value of 100 indicates that a result exactly matches the baseline average. The baseline average is the overall relationship between the bookers and catchment area population. The index shows how that relationship differs, compared to the overall base, for people in each different Audience Spectrum group. An index of 200 shows that the result is twice the average, and an index of 50 that it is half the average. Broadly speaking, an index of less than 90 or more than 110 would be considered different enough from the average to take notice of.
| Audience Spectrum Segment (adults 15+) | Bookers Count | Bookers % | Catchment Area Count | Catchment Area % | Index |
|---|---|---|---|---|---|
| Metroculturals | 304 | 1% | 96 | 0% | 4,805 |
| Commuterland Culturebuffs | 7,398 | 13% | 75,821 | 9% | 148 |
| Experience Seekers | 2,673 | 5% | 18,336 | 2% | 221 |
| Dormitory Dependables | 14,732 | 27% | 154,721 | 19% | 144 |
| Trips & Treats | 13,472 | 25% | 216,072 | 26% | 95 |
| Home & Heritage | 5,621 | 10% | 72,897 | 9% | 117 |
| Up Our Street | 3,625 | 7% | 92,205 | 11% | 60 |
| Facebook Families | 5,392 | 10% | 153,862 | 18% | 53 |
| Kaleidoscope Creativity | 1,421 | 3% | 39,191 | 5% | 55 |
| Heydays | 983 | 2% | 45,373 | 5% | 33 |
| Unclassified | 283 | 0 | |||
| Total count | 54,972 | 100% | 834,168 | 100% | 100 |
Over-represented groups
In the table, 27% of bookers in the cluster belong to the Audience Spectrum group Dormitory Dependables. However, only 19% of all the people who live in the catchment area belong to this segment. This result illustrates that the Dormitory Dependables group are over-represented in the cluster’s bookers compared to the catchment area population. The index figure allows us to understand this in more detail. So, an index of 144 means that people from Dormitory Dependables are 44% more likely to engage than the population of the catchment area as a whole.
Average groups
25% of bookers belong to the Audience Spectrum group Trips and Treats, but 26% of people living in the catchment area belong to the Trips and Treats group. This tells us that the proportion of the Trips and Treats segment in the cluster and the proportion of Trips and Treats living in the catchment area is broadly the same. An index of 95 means that the cluster booker’s group is just 5% less likely to contain Trips and Treats people than a random sample of the catchment area population.
Under-represented Groups
10% of bookers belong to the Audience Spectrum group Facebook Families. However, 18% of all the people who live in the catchment area belong to this group. Facebook Families are under-represented in the cluster’s audience compared to the catchment area population. An index of 55 means that the cluster group is 45% less likely to contain Facebook Families people than a random sample of the catchment area population.
