TABLE 2.2 Internet Use in the Past Three Months (all data represent percentages of the U.S. population)
| Category | People in Computer Households (%) | People Using Networks (%) |
| Income quartile | ||
| 1 | 15 | 2 |
| 2 | 34 | 8 |
| 3 | 43 | 10 |
| 4 | 68 | 21 |
|   |   |   |
| Education level | ||
| < HS | 26 | 5 |
| HS or more | 32 | 6 |
| B.A. or more | 59 | 23 |
|   |   |   |
| Gender | ||
| Male | 41 | 12 |
| Female | 52 | 6 |
|   |   |   |
| Age | ||
| < 20 | 50 | 14 |
| 20-39 | 41 | 12 |
| 40-59 | 43 | 9 |
| > 59 | 15 | 2 |
Note: Getting an accurate picture of the distribution of computer and network use
among U.S. citizens is not straightforward. Numerous samples are used to generate
publicized survey data, but close examination shows that despite care in the planning of sample
design, the actual data must be adjusted statistically (through the use of weights) to
achieve meaningful and accurate inferences about the U.S. population. In addition, what is
being measured is often neither clear nor consistent. Survey researchers have observed, for
example, that people often do not understand enough about their equipment or services
to answer questions reliably; questions about activities and uses tend to yield more
accurate and consistent results. Another factor inspiring caution about reported data is that there
is significant "churn" in the PC application and services markets: people start and stop
activity relatively often, but it is too soon to describe either long-term attrition rates or
consistent patterns in how use varies over time and among different categories of people.
SOURCE: "CommerceNet/Nielsen Media Research Internet Demographics Study for
Fall 1995 and Spring 1996 Recontact," Nielsen Interactive Services, Dunedin, FL, August 1996.