Acting Deputy Assistant Secretary for Communications
and Information and
Acting Deputy Administrator,
National Telecommunications and Information Administration
Michele C. Farquhar
Acting Associate Administrator, NTIA, Office of
Policy Analysis and Development
Joseph L. Gattuso
Cynthia Ann Nila
David Baxter, Intern
Rafael Alverez, Intern
Michael Francesconi, Intern
At the core of U.S. telecommunications policy is the goal of "universal service" -- the idea that all Americans should have access to affordable telephone service. The most commonly used measure of the nation's success in achieving universal service is "telephone penetration" -- the percentage of all U.S. households that have a telephone on-premises.1/ There currently exist two principal sources for nationwide data on telephone penetration: First, the Current Population Survey ("CPS"), conducted by the U.S. Bureau of the Census, U.S. Department of Commerce, three times each year, includes questions on telephone subscription. Second, the Federal Communications Commission's ("FCC") Industry Analysis Division, within the Common Carrier Bureau, uses the CPS data to produce regular reports that provide a detailed demographic profile of telephone subscribership in the United States.
Although these statistics have provided an invaluable empirical foundation for the universal service debate, they are incomplete in at least two respects. The publicly-available CPS data does not include a geographic identifier for the households surveyed, primarily to preserve the confidentiality of household-specific information. As a result, the FCC's periodic reports cannot indicate how telephone subscribership varies geographically -- how, for example, telephone penetration in rural areas compares to penetration in suburbia or central cities.
Additionally, the subscribership data typically collected are limited to telephone service. There are legitimate questions about linking universal service solely to telephone service in a society where individuals' economic and social well-being increasingly depends on their ability to access, accumulate, and assimilate information. While a standard telephone line can be an individual's pathway to the riches of the Information Age, a personal computer and modem are rapidly becoming the keys to the vault. The robust growth recently experienced in Internet usage illustrates this promise as new and individual subscribers gravitate to on-line services.2/ This suggests a need to go beyond the traditional focus on telephone penetration as the barometer of this nation's progress toward universal service.
As the President's principal adviser on telecommunications policy, the Commerce Department's National Telecommunications and Information Administration ("NTIA") has taken two steps to fill these lacunae in the nation's universal service database. In July 1994, NTIA contracted with the Census Bureau to include questions on computer/modem ownership and usage in the CPS conducted in November 1994.3/ Further, after the CPS was concluded, NTIA asked Census to cross-tabulate the information gathered according to several specific variables (i.e., income, race, age, educational attainment, and region) and three geographic categories -- rural, urban, and central city.4/
By supplementing the existing database in these two critical respects, NTIA has developed a more expansive profile of universal service in America - - a portrait that includes computers and modems as well as telephones. The data in the attached tables provide fresh insights into the make-up of those who are not connected to the National Information Infrastructure ("NII"). More particularly, this research has explored the characteristics of the "have nots" in rural versus urban settings. In addition, the agency has gained new insights about the "information disadvantaged" in America's central cities, enabling policymakers for the first time to array these characteristics against rural and urban profiles. NTIA's examination reveals the usage habits of PC/modem users in accessing on-line services, an important input for policy development in the nascent Information Age.
In essence, information "have nots" are disproportionately found in this country's rural areas and its central cities. While most recognize that poor people as a group have difficulties in connecting to the NII, less well-known is the fact that the lowest telephone penetration exists in central cities (Table-Chart 1). Concerning personal-computer penetration and the incidence of modems when computers are present in a household, however, no situation compares with the plight of the rural poor (Table-Charts 2 and 3).
An examination by race reveals that Native Americans (including American Indians, Aleuts, and Eskimos) in rural areas proportionately possess the fewest telephones, followed by rural Hispanics and rural Blacks (Table-Chart 4). Black households in central cities and particularly rural areas have the lowest percentages of PCs, with central city Hispanics also ranked low (Table-Chart 5). For those households with computers, Native Americans and Asians/Pacific Islanders registered the lowest position among those possessing modems (Table-Chart 6).
On the basis of age, the single most seriously disadvantaged group consists of the youngest house-holders (under 25 years), particularly in rural areas. Overall, they rank lowest in telephone penetration and near the bottom relating to computers on-premises (Table-Chart 7). While senior citizens (55 years and older) -- regardless of the type of area -- surpass all other groups with respect to telephones, rural seniors rate lowest in computer penetration (see Table-Chart 8). Among households with PCs, the youngest in rural areas also fare worst in modem penetration, followed by rural middle-aged and senior citizens (Table-Chart 9).
Generally, the less that one is educated, the lower the level of telephone, computer, and computer-household modem penetration. For a given level of education, however, central city households generally have the lowest penetration for both telephones and computers (Table-Charts 10 and 11), while rural households with computers consistently trail urban areas and central cities in terms of modem penetration (Table-Chart 12). Northeast central cities rank as the region with proportionately the most telephone and computer "have nots," followed by Southern central cities and rural areas (Table-Charts 13-14). Modem penetration among computer households is lowest in rural areas, specifically in the West, then the Midwest and the South (Table-Chart 15).
NTIA's research reveals that many of the groups that are most disadvantaged in terms of absolute computer and modem penetration are the most enthusiastic users of on-line services that facilitate economic uplift and empowerment. Low- income, minority, young, and less educated computer households in rural areas and central cities appear to be likely to engage actively in searching classified ads for employment, taking educational classes, and accessing government reports, on-line via modem (Table-Charts 16-30).
More specifically, our findings point to the following information "have nots":
More work needs to be done to better assess the characteristics of these "have nots." For example, it is not clear whether the same low-income disadvantaged are also those who are minorities or the less educated or the young or old. Additional evidence is required for determining whether, e.g., mobility of households is an important determining factor of information exclusion within central cities or rural areas. Once superior profiles of telephone, computer, and on-line users are developed, then carefully targeted support programs can be implemented that will assure with high probability that those who need assistance in connecting to the NII will be able to do so. NTIA anticipates working in a collaborative effort with federal, state, and local policymakers, as appropriate, to meaningfully achieve these goals.
The broad policy implications for these findings should not be overlooked. By identifying those who are truly in need, policymakers can prudently and efficiently target support to these information disadvantaged. Only when this point is reached can all those who desire to access the NII be possibly accommodated. However, connectivity to all such households will not occur instantaneously; rather, there is a pivotal role to be assumed in the new electronic age by the traditional providers of information access for the general public -- the public schools and libraries. These and other "community access centers" can provide, at least during an interim period, a means for electronic access to all those who might not otherwise have such access. Policy prescriptions that include public "safety nets" would complement the long-term strategy of hooking up all those households who want to be connected to the NII.
The tables and charts that follow draw upon the results of both the Computer Ownership/Usage Supplement and the November 1994 CPS.
Race and Origin. According to the U.S. Census Bureau, race is defined as a concept used by individuals as a self-identification of "biological stock." Such identifiers include White; Black; American Indian, Eskimo, or Aleut; and Asian or Pacific Islander. 5/ In addition to the race identifier, all respondents are asked if they classify themselves as Hispanic in origin, including "ancestry, nationality, group, lineage, or country of birth of the person or the person s parents or ancestors before their arrival in the United States." As a result, individuals of Hispanic origin can be of any race.
Most analyses of telephone penetration use race defined in terms of White, Black, and Other (including American Indian, Eskimo, Aleut, Asian, Pacific Islander, and other) and Hispanic origin. The consequence of Census' racial description, and analyses based on this description, is a "double counting" for the various races and respondents who claim Hispanic origin. This may result in under representing the penetration figures for those races. 6/ To correct this problem, NTIA requested that Census "recode" the race definitions to exclude Hispanic data, thus creating new classifications. These include a separate category for Hispanic origin, and newly defined categories for White - non-Hispanic; Black - non-Hispanic; American Indian -, Eskimo -, and Aleut - non-Hispanic; Asian -, or, Pacific Islander - non- Hispanic; and other - non-Hispanic. NTIA strongly believes that by recoding the race tabulations, our analysis will present a clearer picture of the "haves" and "have nots."
Rural versus Urban and Central City Areas. The Census Bureau defines "urban" as designated areas comprised of all territory, population, and housing units of 2500 or more persons. 7/ "Rural" areas constitute territory, population and housing units not classified as urban; "places of less than 2500" persons and, what the Census Bureau refers to as, "not in places" (areas not part of or outside of designated Census areas). 8/
Our analysis also includes areas designated as "central city" areas or part(s) of a Metropolitan Statistical Area ("MSA") or Primary Metropolitan Statistical Area ("PMSA") that meet the standard of the "largest place," or places (based on population and other criteria) within that MSA or PMSA. 9/ There is no relation between data for central city and data for urban versus rural.
1/ As of November 1994, telephone penetration in the U.S. was 93.8 percent. See Alexander Belinfante, Federal Communications Commission, Telephone Subscribership in the United States, Table 2 at 14 (April 1995).
2/ Recent evidence accumulated by the University of Michigan Business School suggests that more than half of "Net" users subscribe through a private Internet access provider -- using their PCs and modems. Steve Lohr, Technology: On the Net; Out, Damned Geek! The Typical Web User is no Longer Packing a Pocket Protecter, N.Y. Times, July 3, 1995, 1, at 39. Moreover, a 1994-95 survey of 12,000 users conducted by the Interactive Services Association found that for the first time, consumers that have been on-line for a year or less will make up a majority of all on-line users by the end of 1995. Communications Daily, May 22, 1995.
3/ The November, 1994, Current Population Survey reports data collected from a sample of 54,000 U.S. households.
4/ See discussion infra part II, "Methodology and Definitions."
5/ Also included is the "Other" category, which most often includes individuals of "multiracial, multiethnic, mixed, interracial, Wesort, or a Spanish/Hispanic origin group (such as Mexican, Cuban, or Puerto Rican)." Bureau of the Census, U.S. Dep't of Commerce, Current Population Survey Interview Manual Technical Documentation of the 1990 Census of Population and Housing, Summary Tape File 3, 5-6 (January 1994).
6/ Although Black and other categories could be similarly affected, Census has found that most of the overlap occurs between the White and Hispanic categories.
7/ However, the following places with 2500 or more persons are not considered urban : "incorporated cities, villages, boroughs (except in Alaska and New York), and towns (except in the six New England States, New York, and Wisconsin), but excluding the rural portions of "extended cities" (e.g., Nashville, Tennessee, and Jacksonville, Florida, where the county and cities have merged). Bureau of the Census, U.S. Dep't of Commerce, Technical Documentation of the 1990 Census of Population and Housing: Summary Tape File 3 on CD-ROM, A-11 (May 1992).
8/ Id. at A-8 - A-9.
9/ Generally, MSAs are a collection of communities surrounding a large, or several large, population nucleus that share very strong economic and social links with that nucleus. Technical Documentation at A-8 - A-9.
Table-Chart 1: Percent of U.S. Households with a Telephone
Table-Chart 2: Percent of U.S. Households with a Computer By Income
Table-Chart 3: Percent of U.S. Computer Households with a Modem By Income
Table-Chart 4: Percent of U.S. Households with a Telephone By Race
Table-Chart 5: Percent of U.S. Households with a Computer By Race
Table-Chart 6: Percent of U.S. Computer Households with a Modem By Race
Table-Chart 7: Percent of U.S. Households with a Telephone By Age
Table-Chart 8: Percent of U.S. Households with a Computer By Age
Table-Chart 9: Percent of U.S. Computer Households with a Modem By Age
Table-Chart 10: Percent of U.S. Households with a Telephone By Educational Attainment
Table-Chart 11: Percent of U.S. Households with a Computer By Educational Attainment
Table-Chart 12: Percent of U.S. Computer Households with a Modem By Educational Attainment
Table-Chart 13: Percent of U.S. Households with a Telephone By Region
Table-Chart 14: Percent of U.S. Households with a Computer By Region
Table-Chart 15: Percent of U.S. Computer Households with a Modem By Region
Table-Chart 16: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Search Classified Ads By Income
Table-Chart 17: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Take Courses By Income
Table-Chart 18: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Access Government Reports By Income
Table-Chart 19: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Search Classified Ads By Race
Table-Chart 20: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Take Courses By Race
Table-Chart 21: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Access Government Reports By Race
Table-Chart 22: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Search Classified Ads By Age
Table-Chart 23: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Take Courses By Age
Table-Chart 24: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Access Government Reports By Age
Table-Chart 25: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Search Classified Ads By Educational Attainment
Table-Chart 26: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Take Courses By Educational Attainment
Table-Chart 27: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Access Government Reports By Educational Attainment
Table-Chart 28: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Search Classified Ads By Region
Table-Chart 29: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Take Courses By Region
Table-Chart 30: Percent of U.S. Households with a Computer and Modem Using On-Line Services to Access Government Reports By Region