Pew Research Center

FOR RELEASE JUNE 27, 2011

E-reader ownership doubles in six months

Adoption rate of e-readers surges ahead of tablet computers

BY Kristen Purcell

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RECOMMENDED CITATION

Pew Research Center, June 2011, "E-reader ownership doubles in six months"

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Table of contents

  • About Pew Research Center
  • E-reader ownership doubles in six months
  • Methodology

E-reader ownership doubles in six months

Adoption rate of e-readers surges ahead of tablet computers

e-Reader ownership surges since last November; tablet ownership grows more slowly

The share of adults in the United States who own an e-book reader doubled to 12% in May, 2011  from 6% in November 2010.  E-readers, such as a Kindle or Nook, are portable devices designed to allow readers to download and read books and periodicals.  This is the first time since the Pew Internet Project began measuring e-reader use in April 2009 that ownership of this device has reached double digits among U.S. adults.

Tablet computers—portable devices similar to e-readers but designed for more interactive web functions—have not seen the same level of growth in recent months.  In May 2011, 8% of adults report owning a tablet computer such as an iPad, Samsung Galaxy or Motorola Xoom.  This is roughly the same percentage of adults who reported owning this kind of device in January 2011 (7%), and represents just a 3 percentage-point increase in ownership since November 2010.  Prior to that, tablet ownership had been climbing relatively quickly.

Growth over time

These findings come from a survey conducted from April 26-May 22 among 2,277 adults ages 18 and over, including surveys in English and Spanish and on landline and cell phones. The margin of error for the sample is plus or minus 2 percentage points.

Both e-book reader and tablet computer adoption levels among U.S. adults are still well below that of   other tech devices that have been on the market longer.  Cell phones are far and away the most popular digital device among U.S. adults today, followed by desktop and laptop computers, DVRs, and MP3 players.

Both e-reader and tablet ownership far behind other devices

 

There is notable overlap in e-reader and tablet computer ownership – 3% of US adults own both devices.  Nine percent own an e-book reader but not a tablet, while 5% own a tablet computer but not an e-reader.

Three percent of all adults own both an e-reader and a tablet

 

Further confirming the overall trend toward adoption of mobile devices, this survey marks the first time that laptop computers are as popular as desktop computers among U.S. adults.  In November of last year, desktop ownership outpaced laptop ownership by 8 percentage points, 61% to 53%.  This changing pattern is the result of both a steady decline in the popularity of desktops and a steady increase in the popularity of laptops over time.   Laptops have already overtaken desktops in popularity among adults under age 30, and appear poised to do the same among older adults.

Who owns e-readers and tablets? A look at ownership demographics

Hispanic adults, adults younger than age 65, college graduates and those living in households with incomes of at least $75,000 are most likely to own e-book readers.  Parents are also more likely than non-parents to own these devices.

Some demographic differences have only recently emerged.  For instance, in November of 2010, parents and non-parents were equally likely to own e-readers, yet in the past six months ownership of these devices among parents has grown more rapidly than it has among-non-parents.  Similarly, e-reader ownership grew at a faster pace among Hispanic adults over that time period than it did among white or African-American adults.  Moreover, ownership among adults ages 18-49 grew more rapidly than any other age group.

E-reader demographics

Other demographic differences in e-reader ownership are becoming magnified over time.  There was considerable growth in e-reader ownership between November 2010 and May 2011 among college graduates, one-fifth of whom now own these devices.  This group was already outpacing other adults in Pew Internet’s November 2010 survey.  Similarly, while ownership grew across all adults with household incomes of at least $30,000 annually, gains were most pronounced among those in the highest household income category ($75,000 or more).  As was the case six months ago, this group continues to outpace all other income categories by a wide margin, with one in four adults at this household income level owning an e-reader.

Similar demographic patterns of ownership exist for tablet computers, though parents are no more likely than non-parents to own these devices.   However, in the case of tablet computers, men are now slightly more likely than women to own this type of device.

Between November 2010 and May 2011, the largest increases in tablet ownership have been among men when compared with women; Hispanic adults when compared with white and African-American adults; adults 18-29; those with some college or college degrees; and those reporting household incomes of $30,000 or more.  Overall, the highest rates of tablet ownership are among Hispanic adults and those with household incomes of at least $75,000 annually.

Tablet computer demographics

 

Methodology

This report is based on the findings of a survey on Americans’ use of the Internet. The results in this report are based on data from telephone interviews conducted by Princeton Survey Research Associates International from April 26 to May 22, 2011, among a sample of 2,277 adults, age 18 and older.  Telephone interviews were conducted in English and Spanish by landline (1,522) and cell phone (755, including 346 without a landline phone). For results based on the total sample, one can say with 95% confidence that the error attributable to sampling is plus or minus 2.4 percentage points.  For results based Internet users (n=1,701), the margin of sampling error is plus or minus 2.7 percentage points.  In addition to sampling error, question wording and practical difficulties in conducting telephone surveys may introduce some error or bias into the findings of opinion polls.

A combination of landline and cellular random digit dial (RDD) samples was used to represent all adults in the continental United States who have access to either a landline or cellular telephone. Both samples were provided by Survey Sampling International, LLC (SSI) according to PSRAI specifications.  Numbers for the landline sample were selected with probabilities in proportion to their share of listed telephone households from active blocks (area code + exchange + two-digit block number) that contained three or more residential directory listings. The cellular sample was not list-assisted, but was drawn through a systematic sampling from dedicated wireless 100-blocks and shared service 100-blocks with no directory-listed landline numbers.

New sample was released daily and was kept in the field for at least five days. The sample was released in replicates, which are representative subsamples of the larger population. This ensures that complete call procedures were followed for the entire sample.  At least 7 attempts were made to complete an interview at a sampled telephone number. The calls were staggered over times of day and days of the week to maximize the chances of making contact with a potential respondent. Each number received at least one daytime call in an attempt to find someone available. For the landline sample, interviewers asked to speak with the youngest adult male or female currently at home based on a random rotation. If no male/female was available, interviewers asked to speak with the youngest adult of the other gender. For the cellular sample, interviews were conducted with the person who answered the phone. Interviewers verified that the person was an adult and in a safe place before administering the survey. Cellular sample respondents were offered a post-paid cash incentive for their participation. All interviews completed on any given day were considered to be the final sample for that day.

Weighting is generally used in survey analysis to compensate for sample designs and patterns of non-response that might bias results. A two-stage weighting procedure was used to weight this dual-frame sample. The first-stage weight is the product of two adjustments made to the data – a Probability of Selection Adjustment (PSA) and a Phone Use Adjustment (PUA). The PSA corrects for the fact that respondents in the landline sample have different probabilities of being sampled depending on how many adults live in the household. The PUA corrects for the overlapping landline and cellular sample frames.

The second stage of weighting balances sample demographics to population parameters. The sample is balanced by form to match national population parameters for sex, age, education, race, Hispanic origin, region (U.S. Census definitions), population density, and telephone usage. The White, non-Hispanic subgroup is also balanced on age, education and region. The basic weighting parameters came from a special analysis of the Census Bureau’s 2010 Annual Social and Economic Supplement (ASEC) that included all households in the continental United States. The population density parameter was derived from Census 2000 data. The cell phone usage parameter came from an analysis of the January-June 2010 National Health Interview Survey.1

Following is the full disposition of all sampled telephone numbers:

Table 2

The disposition reports all of the sampled telephone numbers ever dialed from the original telephone number samples. The response rate estimates the fraction of all eligible respondents in the sample that were ultimately interviewed. At PSRAI it is calculated by taking the product of three component rates:

  • Contact rate – the proportion of working numbers where a request for interview was made
  • Cooperation rate – the proportion of contacted numbers where a consent for interview was at least initially obtained, versus those refused
  • Completion rate – the proportion of initially cooperating and eligible interviews that were completed

Thus the response rate for the landline sample was 13.6 percent. The response rate for the cellular sample was 11.5 percent.