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Final report - Integrated Land Management Bureau

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3.0 CHALLENGES AND LIMITATIONS<br />

There are several serious challenges and limitations in choosing a framework and<br />

selecting measurable indicators for human well-being on the North and Central Coast.<br />

These challenges affect the choice of indicators and their reliability for measuring<br />

changes in human well-being over time.<br />

3.1 SCALE AND BOUNDARY OVERLAP IN EXISTING DATA<br />

It is a challenge to balance the theoretical approach to human well-being found in the<br />

literature with the reality of selecting indicators for which there is existing data or where<br />

collection of data in the plan area is feasible and affordable. The choice of indicators<br />

depends in part on the tolerance for imprecision in the data—how precise they need to be<br />

to be useful and satisfactory for decision making. Much data from BC Stats and Statistics<br />

Canada are free or very inexpensive, but often not precise because of scale and<br />

overlapping boundary problems. In some cases, because the population is small enough,<br />

census data are suppressed (not compiled) by Statistics Canada or BC Stats, leaving gaps<br />

in information for certain communities in the plan area, especially on the Central Coast.<br />

For example, Statistics Canada and the Canadian Institute for Health Information<br />

compiled a research-based list of human health indicators, but the data for these<br />

indicators are only available at a very broad Health Region level. Some indicators, such<br />

as self-<strong>report</strong>ed health status, are only available at an even larger provincial scale. Given<br />

that the North and Central coast plan areas are smaller geographic subsets of the Health<br />

Regions, Statistics Canada health data were not useful. The most localized source of<br />

health data for the North and Central coast plan areas is BC Stats at the Local Health<br />

Area (LHA) scale, however there is a trade-off between using appropriate scales and<br />

using indicators where the numbers are too small to detect changes meaningfully over<br />

time. Using LHAs forces the use of BC Stats indicators (see Appendix A for a map of the<br />

Local Health Areas) which lead to very small numbers of respondents.<br />

The Canadian Community Health Survey (CCHS) that is conducted every two years<br />

offers a wide array of health indicators, but the data also are only available at the Health<br />

Region level. According to Statistics Canada, it is technically possible to “drill down”<br />

and obtain the data by postal code, but the confidence interval would be very poor and<br />

results would have low statistical reliability because of the small sample size used in the<br />

survey (Statistics Canada only surveys 130,000 people across the country for the CCHS).<br />

If data were to be made available the local level, the chance for error in <strong>report</strong>ing from<br />

one time period to the next would be significant. The data could show a significant<br />

improvement over time that did not occur, or it could show that things got worse in an<br />

area even if they did not.<br />

Existing data for the North and Central Coast have limitations as follows:<br />

1) Health data at Local Health Area level (LHAs): Local Health Areas are<br />

the most localized data available on health statistics, but the LHA<br />

boundaries do not follow the plan area boundaries, making it difficult to<br />

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