Western Interstate Commission for Higher Education
FROM THE WICHE PROJECT ARCHIVE  (BROWSE THE ARCHIVE)

Defining and Describing Frontier Areas in the United States: An Update

Letter to the Field No. 22

by Pearlanne T. Zelarney and James A. Ciarlo, Ph.D.

Table of Contents
Introduction | Review of Definition Methods | New Work in Defining Frontier | Describing Frontier Areas | Summary | References

Introduction

In the second Letter in this series of Letters to the Field, the Frontier Mental Health Services Resource Network (FMHSRN) attempted to review previous work done to identify, define, and describe rural and then frontier areas in the United States. Since that Letter, further work by both the Network and others has been done to help characterize these areas. This Letter reviews this work and further describes frontier areas in terms of their economy, population growth, level of poverty, health and mental health, and the impact of technology.

Review of Definition Methods

U.S. "rural" areas have been primarily defined and differentiated from other areas by two methods: nonmetropolitan vs. metropolitan and rural vs. urban residence. The Office of Management and Budget (OMB) designates as metropolitan those counties consisting of or adjacent to core county with a large population nucleus, where its surrounding counties having a high degree of social and economic integration with that core. The counties not defined as metropolitan are, by elimination, termed nonmetropolitan. This is a fairly broad characterization that treats small, densely populated eastern counties the same as large counties with more variable population densities in the west. Federal and state agencies are often required by statute to use metropolitan area designations for "allocating program funds, setting program standards, and implementing other aspects of their programs (OMB, 1998)". Such political mandates, as well as the easy availability of these nonmetro and metro county designations have made this an often-used scheme for labeling some counties as "rural" with substantial policy implications for rural mental health.

As part of the preparation for the 2000 Census, the OMB is currently conducting a full review of the concepts and standards surrounding the metropolitan designation with the intent of revising them. First under consider is changing the geographic "building block" from the county to a subcounty level, which should allow finer specification of areas as metro or nonmetro (see the section below on Use of Census Tracts in Definitions for more on the implications of this change). Second, the OMB has recently presented four new criteria approaches for public comment. One approach uses population density rather than the traditional identification of a core area and its commuting relationships with surrounding areas. The other three approaches continue to use commuting as a criteria, but leave out various other criteria used currently to include outlying areas as part of a metropolitan area (OMB, 1998).

The Census Bureau also defines "rural" areas, but this definition can be used for a variety of sized areas, not just counties. Here again rural is defined by elimination. Urban or urbanized areas have a central city and densely settled surrounding regions with a total population of 50,000 or more. Urban areas also include places outside of urbanized areas that contain at least 2,500 people. All areas not defined as urban are rural. This designation system also tends to be too inclusive, especially when used at the county level. However, it does stress the relative isolation and dispersion characteristics of an area. Both these OMB and Census Bureau designations are discussed in greater detail in Letter to the Field No. 2.

"Frontier" rural areas, the areas of greatest concern to this project, have been most frequently defined in terms of population density. If a county has a population density of less than seven persons per square mile, then it is called frontier. Unfortunately, this often leaves out those areas that are also remote and sparsely populated, but are part of a county with concentrations of more densely populated cities or towns. The higher overall county density ensures that they do not qualify as frontier.

A number of more complex typologies have also been developed to overcome the limitations of these simplistic dichotomous definition systems. They tend to use combinations of population parameters and other parameters such as economics, poverty, commuting, and county infrastructure. These typologies include the Economic Research Service’s (ERS) Rural-Urban Continuum, the ERS County Typology, and the Rurality Scores by the University of Tennessee (Butler & Beale, 1994; Cook & Mizer, 1994; University of Tennessee, 1994). Schemes such as the ERS County Typology can often help describe a county, for instance, if it is a farming dependent community or whether it consists of large tracts of federal lands.

New Work in Defining Frontier

States with Frontier Populations. This project has developed a scheme to identify and then rank states with frontier populations. This designation is based on two defining variables — total population of a state’s frontier counties (those with less than 7 persons/sq.mi.), and the percentage of frontier-county residents within a state. There are 26 states with frontier counties (See Table 1). These states have as few as one county to as many as 62 frontier counties. This scheme breaks these 26 states into four groupings or categories based on the two variables. Category I includes those states with more than 15% of their population in frontier counties or with a total frontier population of greater than 250,000. Six western states fit into this category. Category II includes states with 5 to 14% of their population in frontier counties or with a total frontier population of greater than 150,000. Several states are included in this category because they have a large frontier population, even though in relation to the state’s total population it is only a small percentage (e.g., Texas). Even some of the higher-population western states have substantial numbers of frontier counties within their borders; for example, about half (32) of Colorado’s 63 counties had seven or fewer persons per square mile in 1990. For less populous states like North Dakota and Wyoming, the proportion of frontier counties is even higher. Categories III and IV include more eastern and higher-population states with few frontier residents.

Table 1. States with Frontier Populations

State No. of Frontier Counties 1990 Population in Frontier Counties % of the State’s Population in Frontier Counties

Category I

States with more than 15% of their population in frontier counties or with a total frontier population of greater than 250,000

Wyoming

18

246,156

54.27

Alaska

21

202,937

36.89

Montana

47

281,822

35.27

South Dakota

39

178,742

25.68

North Dakota

37

159,505

24.97

Idaho

22

162,431

16.13

Category II

States with 5 to 14% of their population in frontier counties or with a total frontier population of greater than 150,000

New Mexico

17

190,152

12.75

Utah

17

185,237

10.75

Nevada

11

115,100

9.58

Nebraska

36

116,665

7.39

Kansas

40

155,625

6.28

Arizona

5

206,588

5.64

Colorado

32

169,559

5.15

Texas

62

225,662

1.31

Category III

States with 1 to 4% of their population in frontier counties or with a total frontier population of greater than 50,000

Oregon

11

97,132

3.44

Maine

1

18,653

1.48

Minnesota

7

63,843

1.46

Washington

7

71,985

1.19

Oklahoma

7

33,271

1.06

California

8

126,538

0.42

Category IV

States with less than 1%of their population in frontier counties and with a total frontier population of less than 50,000

Michigan

3

16,318

0.17

Mississippi

1

1,909

0.07

Virginia

1

2,635

0.05

Florida

1

5,569

0.04

Georgia

1

2,334

0.03

New York

1

5,279

0.03

Rural Composite Index. In an attempt to better define rural areas, and particularly the most isolated or "frontier" rural counties, this project also created a new rural-urban continuum by expanding upon the previously described "density" definition of rural. To the population density (persons per square mile) criterion, we added the Census definition of "rural" and another standard population measure—county population size—to create a thirteen-category classification or "index" of rurality versus urbancity. It was postulated that a combination of these three parameters—population density, raw population size, and residence outside a town of 2,500 or more—came closer to describing rurality than most, if not all, single-criterion definitions. Thus, this classification scheme assumes that if a county has a very small population, a high degree of dispersion among its residents, and a high percentage of "rural" non-town residents according to the Census definition, the county is extremely rural in nature. At the other end of the continuum, counties with very large populations, with residents living extremely close to each other, and with most living within towns or cities of at least 2,500 persons, must be quite urban in nature.

The continuum from most rural to most urban counties was generated using composite index scores. The population values were all from the 1990 Census, and the county was the geographic unit used (though other geographic units would also be appropriate for the continuum). Each county population variable was divided into five categories. These individual categories were assigned a number from 1 to 5, where 1 was the least populous, least dense, or most "rural" (see Table 2). A county's Rural Composite Index Score was simply the sum of the three individual variable scores. Hence, each county scored over a range of 3 to 15, where 3 would be the most rural and 15 the most urban. For instance, in 1990, Costilla County in Colorado had a population of less than 10,000 (Score = 1), a density of 2.6 (Score = 2), and was 100% "rural" in Census terms (Score = 1). Its Rural Composite Index Score was therefore 4. The 13-point continuum produced was then again split into five categories primarily for easy viewing on plotted maps. (see legend of Figure 1). In this scheme, Costilla County falls into the most rural category.

The map in Figure 1 shows the geographic distribution of the five categories created. The 98th meridian or anhydrous line shows up as an apparent eastern border to less populated areas. Counties from the most rural category can be found primarily in the West where counties tend to have the most land and the fewest people. This lowest category of the continuum (scores of 3-5) also closely mirrors the designation of frontier counties based simply on density (in this project, less than 7 per square mile). However, it may be more useful (and certainly less arbitrary) to have frontier areas designated by the broader continuum that includes population size and residential location, rather than using a simple binary classification based solely on density. Furthermore, in contrast to the previously described rural definitions, this continuum-based classification designates the most isolated rural areas (frontier) within the full spectrum of rural and urban counties. It also has the advantage of being simple to understand and easy to apply. With sub-county unit data sets, it could also easily be applied to smaller geographic units, where one would expect greater specificity and differentiation of highly rural areas than can be generated by county-level data.

Table 2. Variables Used in Rural Composite Index Scores

POPULATION VARIABLE VALUE SCORE
Total population* Less than 10000 1
  10,000 - 49,999 2
  50,000 - 99,999 3
  100,000 - 499,999 4
  Greater than 500,000 5
Density -Persons/Square Mile* Less than 1.9999 1
  2 - 6.9999 2
  7 - 9.9999 3
  10 - 14.9999 4
  Greater than 15 5
Percent Rural (Census)* 100 1
  75 - 99.9999 2
  50 - 74.9999 3
  25 - 49.9999 4
  Less than 24.9999 5

* All values are from the 1990 Census.

Frontier Education Center Definition. The Frontier Education Center, in conjunction with the Office of Rural Health Policy, conducted a consensus-development project to generate a widely acceptable definition of frontier that goes beyond the use of density as a single definer. They felt that the definition must allow for extremes of distance and isolation and in some way reflect the major problem of infrastructure development in frontier communities. They began by limiting the population density to less than 20 persons per square mile. Both the Frontier Education Center and the Frontier Mental Health Services Resource Network have noted that this loosening of the density does not make a significant difference in counties and areas identified. The counties delineated are still found primarily in western states and make up less than 4% of the US population. The Center went on to limit the counties to those that in addition to being less than 20 persons/sq.mi. were also located at least 60 miles and/or 60 minutes from the nearest market center. The Center developed a multi-classifcation matrix with a 0-to-105-point scale that can be used as a tool to determine frontier status for individual areas (see Table 3). On this scale a given area, such as a county, must have a minimum of 50 points to be designated as frontier.

Table 3. Frontier Education Center Frontier Matrix

Criteria

Points

Density (persons/sq.mi.)

 
0 – 12 45
12 – 16 30
16 – 20 20

Distance (miles)

To Primary Care Or To Next Level of Service/Market
> 90 25 30
60 – 90 20 20
30 – 60 15 10
< 30 0 0

Time (minutes)

To Primary Care Or To Next Level of Service/Market
>90 25 30
60 – 90 20 20
30 - 60 15 10
<30 0 0

Use of Census Tracts in Definitions. One of the major problems in all of the definitions described so far is the use of the county as the unit of measure or geographic building block. In western states, counties tend to be large, which can mask smaller area differences under one inclusive label. For instance, metro boundaries based on counties can extend well past the dense urban core into much less densely settled—even frontier— territory. To over come this disadvantage, the Office of Rural Health Policy and the Economic Research Service, in a joint effort, have developed a more precise geographic delineation of rural populations by using Census tracts as the unit of measure and a five-category modification of the Beale rural-urban continuum. Census tracts were chosen because they are consistently defined and can be easily aggregated to the county level when needed. There are more than 62,000 tracts compared to a mere 3000 counties in the US.

Cromartie and Swanson (1997) applied this method to three states to determine its feasibility and benefits. They chose Arizona as an example of a large western state. Arizona has only 15 counties, and only 15% of its population is currently designated nonmetropolitan. However, using this more specific method, they found that the metro areas dropped from 19 to 2% of the state’s total land area. They also found twice as much territory was nonadjacent using Census tracts. In sum, the boundaries of rural areas were unmasked and those of the urban core were more precisely drawn in this method. This methodology will be extended to all fifty states in the near future.

The use of subcounty units should improve all of the previously described rurality defining systems. The limitation to this method however, is that health and mental health data is often not available at the subcounty level. Hopefully, the 2000 Census and the increasing use of computer technology will make such information more readily available.

Steps Toward Development of a Sociodemographic Typology of Rural Counties. While most categorization schemes to denote differences in "rurality" involve the use of primarily geographic variables (such as metropolitan/ nonmetropolitan area types, adjacency to cities, population size and/or density, etc.), few if any employ personal characteristics of area residents or their social environments as defining variables. An exception to this is Goldsmith, Holzer, Woodbury, and Ciarlo's (1999) recent use of grade of membership (GOM) analysis of sociodemographic variables to derive "pure types" of rural and non-rural areas intended to better depict the nature and character of rural residents. Such a typology may often be more helpful than geographically-based categories of "rurality" in planning mental health and substance abuse services for these residents. For example, it could be important to know the socioeconomic statuses, age characteristics, and ethnic backgrounds of a rural area's residents before trying to recruit mental health personnel to staff a planned public facility to provide mental health services. Steps toward such a sociodemographics-based descriptive typology for both rural and urban areas have been made by Goldsmith, et al. as part of FMHSRN's efforts to improve the quantity and quality of mental health services in the western rural U.S.

"Grade of Membership" analysis or GOM is a multivariate statistical classification procedure applied to a set of variables that generates "pure types" (or clusters of variables) with distinct characteristics. It was used to analyze a data set consisting of 75 economic, social, and health variables using 1980 decennial Census data and other government statistics for the 3,064 counties in the coterminous United States. The principal types of variables covered are listed in Table 4.

Table 4. Types of Variables Used in GOM Analysis

Social rank (including economic, occupational and educational status)
Household and family composition
Housing characteristics
Mobility
Journey to work characteristics
Ethnicity
Local economic activities
Tax structure
Expenditure for police and fire service

The GOM analysis led to 27 pure types of counties, each of which would possess specific patterns of demographic, economic, social, and health characteristics. Once the pure types were defined, Goldsmith, et al. then selected out for further attention those pure types with high concentrations of "isolated rural" or "frontier" counties as defined by very low population density. Nine of the pure types had greater-than-average percentages of counties with less than 7 persons per square mile (FMHSRN's working definition for "frontier" counties), or between 7 and 15 persons per square mile (often termed "frontier-like" and usually found near or adjacent to "frontier" counties). Table 5 below lists the nine pure types, along with their population-density characteristics.

Table 5. Percentage Distributions of Designated Pure Types by Density
In Order of Proportion of Low Density Counties

Low-Density Pure Types

% Distribution of Counties by Density

 

Low Density Counties

Densely Settled Counties

Total (number)

  Sparsely Populated Counties (less than 7 persons per sq. mile) Less Densely Settled Counties (7 to 15 persons per sq. mile)
2 91.42 6.67 1.90 100.00 (105)
1 48.99 24.83 26.17 100.00 (149)
5 36.05 27.91 36.05 100.00 (86)
10 25.20 32.52 42.28 100.00 (123)
14 22.61 15.65 61.74 100.00 (115)
13 20.54 11.61 67.86 100.00 (112)
27 19.05 8.33 72.61 100.00 (84)
11 16.65 9.48 74.21 100.00 (159)
23 18.18 6.82 75.00 100.00 (88)
Total 13.87 9.37 76.76 100.00 (3064)

Note that Pure Type 2 consists almost entirely (91%) of sparsely populated counties, while the remaining eight types have lower percentages of such "frontier" areas (49% or less). Nonetheless, all nine types are important to studies or analyses of extremely rural or "isolated" rural areas because they have greater-than-average percentages of these "low density counties"--that is, all are comprised of at least 25% sparsely populated or less densely settled counties. Further, they are of particular interest since they include 71% of all such "frontier" and "frontier-like" counties in the coterminous United States.

The map of Pure Type 1 counties (Figure 2) shows that they are concentrated in the short-grass prairie states of the western U.S. (Iowa, Kansas, Minnesota, Nebraska, North Dakota and South Dakota), even though a few (about 9%) fall outside this locale. Also found in this region of the U.S. are the counties of Pure Type 2, concentrated in the states of Kansas, Nebraska, Texas, Colorado, and Montana. For the rest of the pure types, the counties were found in a wide variety of U.S. regions.

Maps of locations of the remaining pure types are not shown here because of space limitations; however, additional pure-type location maps can be seen in the FMHSRN's Letter to the Field No. 18, entitled Low Density Counties with Different Types of Sociodemographic, Economic, and Health/Mental Health Characteristics, or viewed on the FMHSRN's Internet website (www.du.edu/frontier-mh/) under that same heading.

These nine pure-type (PT) sets of counties tend to share certain sociodemographic, economic, and health-related characteristics. Most counties have a small population (less than 45,000 persons). Their residents typically have a moderate educational status, but are economically mixed. They consistently work within their county of residence or at home. They are predominately white, but pockets of higher concentrations of Hispanic persons do exist. These counties also share a high percentage of husband-wife households, although PT 10 is an exception with a high percentage of elderly people living alone. Finally, these counties all have low numbers of physicians per 1000 persons, and moderate to low numbers of (medical) inpatient days. Somewhat contrary to expectations, only those residents in PT 1 and PT 2 have a high percentage of employment in resource-dependent industries (such as mining and logging).

Again, for illustrative purposes, the following paragraph lists the main characteristics of PT 2 county residents (i.e, the most "frontier" set of counties, having population densities below 7 per 1000).

Pure Type 2 – Western Farmers, Ranchers, Miners. The average person living in a PT2 county would be a white, high school graduate, most likely married, with a high to a very high per capita income who works in his/her county of residence, commutes less than 10 minutes to work and lives in an older home (built prior to 1951), which may be modular (10% or more) or rented (20 to 40%). Males are employed full-time, and women, if seeking work, are likely to be employed. Often, employment was in resource-dependent industries (40% or more of the labor force) such as agriculture. Employment in service or manufacturing industries is likely to be very low (less than 10% of labor force).

For details of three additional pure-type characteristic sets (PT1, PT5, and PT10), the reader is referred to the FMHSRN's Letter to the Field No. 18.

Describing Frontier Areas

The simple binary definition of frontier rural areas as those with less than seven persons per square miles belies their diversity. While concentrated in the west, frontier areas range from flat, hot, plains counties in Texas to remote mountainous counties in Montana. Their residents can be miners, farmers, loggers, ranchers, or Internet entrepreneurs. Many are descendants of the original pioneers, yet more and more are urban-area "refugees". Even with this diversity, these areas share a remoteness and a sense of isolation that sets them apart from both urban areas and other types of rural areas.

Consistent agreement cannot even be found on using the name "frontier" for these extremely isolated rural areas. This project has received many comments on the use of this term, particularly from people in frontier areas. Many consider it limiting and negative in nature. In the dictionary, for instance, synonyms include "backwoods", "boondocks," and "outlandish". However, frontier is also used in positive ways, such as the "frontiers of cyberspace". At the 23rd Annual Conference of the National Association for Rural Mental Health, this project reviewed the use of this term and asked for suggestions for a more accurate or more descriptive term. The consensus of the audience seemed to be that the term "frontier" had been in use for so long that it would actually be detrimental to those attempting to increase services to these areas to change it to something less well-established.

In Letter 2, several characteristics of frontier areas were discussed to help describe and understand them. They included isolation, fragile economy, frontier values, and poverty. In Letter 18, Goldsmith et al. described four "frontier-like" clusters of counties with distinct characteristics along with their locations in the United States. The FMHSRN’s advisory committee, as well as many newspaper and magazine articles, informally confirms the existence of these community types. This letter will use these four GOM-derived vivid portraits of frontier communities as a backdrop for a discussion of several issues important in frontier areas, including the economy, population growth, poverty, land use, and mental health services in frontier areas. Finally, advances in technology have made enormous changes in many areas of American life, and we will discuss their impact on the lives of frontier residents. We end with differing and sometimes opposing views on the future of frontier areas.

Western Farming, Ranching, and Mining Communities. These communities are scattered throughout the west from the eastern edges of the coastal states to the Great Plains, but particularly in the states of Kansas, Nebraska, Texas, Colorado and Montana. They are composed of small, mostly male communities and most employment is in resource dependent industries. These counties often depend on a single industrial base, such as farming, ranching or mining.

Mining, lumber, and other extractive industries are increasingly limited in these areas in the western US, often leading to increased unemployment (Murray & Keller, 1986; Wilkinson, 1982). It has been discussed elsewhere (e.g. Wagenfeld et al., 1994) that rural areas in general are economically unstable and that this may have an impact on the mental health of its residents. This can be even more true for frontier areas where the economy is often resource-based and less diversified. The major sources of income in these areas are farming, ranching, logging, and mineral extraction; there is little manufacturing. Each of these industries fosters significantly different cultures. Interacting as a mental health professional with a farmer in North Dakota will be significantly different than with a miner in Nevada.

Mining played a large role historically in the settlement of frontier areas. By its very nature, mining activities create boom and bust cycles, from the discovery of the mineral to the closing of the mine when the cost of extracting the mineral becomes prohibitive. Mining communities therefore are often temporary in nature and experience extreme instances of boom and bust. For example, in Las Animas County in Colorado as late as the 1950’s, 40 coal mines operated, employing thousands, and driving a thriving economy. In 1996, the last operating coal mine closed, ending an era and bringing a decline in county population from 42,000 in 1950 to approximately 13,000 (Foster, 1996).

Ranching in frontier areas also has a long and colorful history. Arid and vast, these areas are ideal for cattle and buffalo. Jackson County, a frontier area in northern Colorado, now struggles with a ranching based economy. Located in the vast mountain basin of North Park, land-use restrictions limiting logging and mining have meant job loss and a stagnant economy. Almost two-thirds of the million-plus acres of the county are publicly owned. Most of the remaining land is held by large privately owned ranches. Ranching as a way of life is becoming precarious for smaller ranches. To survive, some ranching families have turned to tourism and outfitting in an uneasy compromise (Garner, 1995).

The single industrial base often found in these frontier areas makes earning a consistent living more difficult, and one of the consequences is frequent migration and shrinking communities (National Rural Health Association, 1994). If the industrial base is depressed or collapses in these areas, an inevitable chain reaction occurs. Businesses dependent on these industries experience reverses, public services shrink or disappear, and the quality of life suffers (Popper & Popper, 1987). It can be catastrophic when the only industry in a county declines dramatically. The town of Walden is one such example. This town in northern Colorado relied heavily on the lumber industry. When the main lumber mill closed down in 1994, 100 people in the town of 900 residents lost their jobs and Walden lost a $3.5 million annual payroll. Luckily ranching and farming, the other industries in the area, have done better recently and the town is now getting a big boost from tourism and recreation. However the economy is still fragile and town leaders are trying to bring in light industry to provide year-round jobs and greater security (Kelly, 1997).

As these more traditional industries falter, frontier areas are turning more and more to tourism to answer economic woes, especially in the scenic wilderness areas in the west. This new industry creates large transitory populations who often overload the existing mental health services in the area. The economic base of one frontier state —Nevada — is heavily dependent on gambling-based tourism. This, of course, has implications for health, mental health, and substance abuse services. Obviously, these areas attract many transients, who may experience crises with substance abuse and mental illness. The gambling lifestyle of these places also has an impact on the health and well-being of permanent residents. In their zeal for economic stability, some communities have also actively sought more questionable opportunities (Popper, 1986; Norris, 1993). Distance from metropolitan centers and low population density have made frontier areas attractive for practice bombing ranges, missile sites, and nuclear waste dumps.

Some of the more scenic counties have recently experienced a resettlement. So-called "urban-refugees" have come looking for a better way of life in these frontier areas. These new settlers tend to hold service jobs in teaching, medicine, law, business and technology. This obviously changes the mix of the economy. For instance, in Montrose County Colorado, the percent of mining dependent jobs went from 17% in 1979 to only 1% in 1993 (Frazier, 1996).

Northern Great Plains Farming Communities.

In the Great Plains, once popularly known as the Great American Desert (Stolzenburg, 1996), the frontier areas are unique. The GOM analysis cited above shows that these communities are made up of mainly white, married couples with children. They own their own homes and the husband tends to work in a resource-dependent industry, such as farming. The populations in these counties are very small.

Many of these areas were developed during the westward expansion in the mid- to late-1800s. Homesteaders settled here with great anticipation of personal success and the promise of significant population growth. Many of these rural communities did experience population growth through the 1930s, and only over the past 50-60 years have they experienced dramatic population declines. Consequently, many of the early settlers migrated to the Great Plains not as an escape from urban life, but rather, to found and build great communities of the future. Unfortunately, the combination of the absence of adequate water, the technical revolution in agriculture (the green revolution), the development of modern transportation and communications, and the onset of World War II led to a mass exodus, or rural-to-urban migration. As a result, many rural counties that would not have met the density criteria for "frontier" in the 1950s meet those criteria today. In fact, the number of frontier counties continues to grow in the Great Plains as the population decreases.

The decline in population in the frontier areas of the Great Plains is not characteristic of all counties or all decades. The populations in rural areas have been said to be both increasing dramatically and decreasing alarmingly, depending on the specific area and the decade described. The 1970’s were an era of growth in nonmetro rural areas. Population tended to decline in the 1980’s and now in the 1990’s the trend seems to be repeating that of the 70’s (Nucci & Long, 1995). This population growth in the 90’s is widespread in nonmetro counties (Johnson & Beale, 1994; Nucci & Long, 1995). The increase may be due to the net inflow of migrants — particularly seniors, but is probably also due to suburbanization. Nonmetro counties adjacent to metro counties or suburban areas seem to be growing the fastest. Growth has also been seen consistently in recreation-centered counties, supporting the net inflow supposition and the idea of a "rural renaissance." There is believed to be a preference by Americans to live in smaller places to avoid the crime and congestion of urban areas (Nucci & Long, 1995). For instance, in the 1990’s over 1 million Californians have moved to other western states, presumably to avoid crime and to find a simpler lifestyle. This increase in population in nonmetro areas may also be due to a shift in the nation’s economy from manufacturing to more service-oriented industries (Nucci & Long, 1995).

Frontier areas do seem to be contributing to, at least in part, this nonmetro population growth. As a group, states with frontier populations are experiencing a rate of population growth greater than the average for the country in the 1990’s (US Bureau of the Census, 1996; Wilkinson, 1982). In the 14 states with significant frontier areas (Categories I and II), the average population change from 1990 to 1995 was 10.2%, compared to the U.S. average of 5.6%. This trend of rising populations can be seen all the way back to the 1970’s. While the population of the US has grown 29% from 1970 to 1994, most western states have experienced much higher rates, from 43% in Wyoming to 198% in Nevada.

The population growth in frontier areas also seems tied to the more scenic areas where some of the growth is clearly related to recreation. Moab, Utah, for example, has become a Mecca for mountain bikers. Its official population of 6,300 climbs to over 16,000 in tourist season. The growth has also been tied to advances in technology that allow employees to work at a distance from employers and in a more rural environment.

This growth in nonmetro and frontier areas is not, however, universal. At the other end of the spectrum, rural to urban migration continues as a consistent theme in some frontier areas, particularly in the Great Plains (Jenkins, 1991; Wilkinson, 1982). Growth was much less prevalent in nonmetro counties in the Great Plains and West Texas and in farming- and mining-dependent counties (Johnson & Beale, 1994). Nonmetro counties with the lowest population densities (frontier counties) also showed the least growth (Johnson & Beale, 1994). Population declined in large portions of the Great Plains during the 1980’s, creating new ghost towns and apprehension in remaining residents. Increased farm productivity in farming areas has lead to fewer workers, larger farms and therefore lower population densities. The number of counties with less than two persons/sq.mi. grew from 143 to 150 during the 1980’s, another indication of the loss in population and the growing number of extremely sparsely-populated frontier areas. There are some indications that this trend may be slowing in the 1990’s. For example, in North Dakota where approximately three-fourths of the state is in the Great Plains, 89% of its counties declined in population from 1980 to 1990. In Census estimates from 1990-95, however, only 81% of the counties declined in population. But the Great Plains states, such as South Dakota, North Dakota, Nebraska and Kansas, still have very slight population changes in comparison to the rest of the frontier states. These four states had an average percentage of growth of 1.9, compared with 5.6 for the US and 10.2 for all frontier states (US Bureau of the Census, 1996).

Hispanic Frontier Communities. While almost all frontier areas in the United States are composed primarily of white residents, there are significant populations of Hispanics in certain areas of the southwest (mainly in Texas, New Mexico, and southern Colorado). Settled earlier than most other frontier areas, these areas still include communities of mostly Spanish-speakers.

Poverty is often an issue for these small communities, much more so than in the other frontier types. The recent changes brought on by welfare reform are expected to have devastating effects on these extremely rural communities. Costilla County in southern Colorado is one example. This frontier county is extremely poor; 16.5% of its residents are unemployed and 34.8% receive food stamps (as opposed to 5.9% statewide). The new welfare reform laws call for the county to move 30% of adult welfare recipients into jobs, however, there are no jobs in Costilla county. In fact, a local mine laid off 68 people in 1997. Neighboring counties have some job openings, but most are seasonal or part-time and there is not public transportation to these areas (Callahan, 1997; Crowder, 1998). The fear is that working age adults in poor families may be forced to leave their homes and go to more urban areas, such as Denver, for work. The result of this would be a county with mainly elderly residents taking care of the children left behind.

Poverty is not a defining characteristic for all frontier counties. The frontier tends to be a land of extremes and this is true for its poverty levels as well. The two counties in the US with the lowest and the highest poverty rates found by the 1990 Census are both designated frontier (Shannon, SD - highest; Loving, TX - lowest). The West, however, does have the highest regional poverty rate (15.4%) in the country. Two of the only three states in which poverty rates increased from 1994 and 1996 are western states – Arizona and Montana. New Mexico, home to many Hispanic frontier communities, had the highest state poverty rate—24.0%—for 1994 to 1996 (Census, 1997).

Declining Retirement Communities. These small communities can be found mainly in the Great Plains. The average age is high and the death rate is quite high in these communities. However, these areas are not prospering retirement destinations as can be found in Arizona, California, and Florida. These were once thriving farming communities, but because of the incredible increases in farm size due to farm efficiencies, there are not enough jobs for younger people to stay. Here the concerns of aging citizens and disappearing communities are paramount.

Frontier areas, particularly in the Great Plains, are often economically dependent on agriculture. The land and climate, however, make farming extremely challenging. Farming-dependent areas in the Great Plains have experienced many cycles of boom and bust since their settlement in the late 1800’s. After the Homestead Act of 1862 lured settlers, creating a boom, the financial panic and drought of 1890 caused a bust in which many residents left. In the early 1900’s homesteaders were again encouraged to settle and it was during this era that the Great Plains experienced its highest population levels. Drought and the Dust Bowl in the 1930’s reduced the population again. In the 1970’s, federal subsidies, an export boom, and gas and oil discoveries brought new prosperity, only to usher in an oil bust and farm crisis in the 1980’s. Parts of the Great Plains today are again struggling with drought conditions. Coupled to these boom and bust trends, farming as a whole has become more efficient. Increased farm productivity has lead to the need for fewer workers and larger farms. This has also has led to declining populations in the farming counties of the frontier.

A trend in the Great Plains frontier areas is an increasingly older average age of its residents. U.S. News and World Report (1995, July 17) carried a story on the economic decline and depopulation of the ranching area of the Sand Hills in Nebraska. With the outmigration of younger persons, the population is becoming increasingly elderly. In some counties this chronic outmigration of younger persons of childbearing age has resulted in deaths outnumbering births (Nucci & Long, 1995). One resident, aged 67, noted:

The area has turned elderly. I put up the mail and I know how many get Social Security checks, and that’s most of them. Our kids got a good education and they took a good work ethic with them when they left—none of them are slackers. But there’s nothing here to hold the young ones. The opportunities are better somewhere else. What it means is that Paul and I are the ‘young couple’ in the church and at the Library Society, and that’s so sad.

Overcoming Isolation Through Technology

As a means of overcoming issues of isolation and as a way to "blur the distinctions between rural and urban areas" (Richards, 1994), many rural towns and counties today are turning to technology. Telecommunications and the information technology industry may make the biggest changes in these areas in the coming years. It will make us rethink our ideas of remoteness and availability of services. Rural communities across the US now view T1 (high volume telephone) lines and the like as earlier frontier residents viewed the railroad. To survive and to hopefully prosper they must have these backbones.

In particular they are turning to the loosely organized network of computers called the Internet. Connecting to the Internet allows world-wide dialogue through chat areas, greater educational resources, and the possibility of information-based small businesses in frontier areas (Mikol, 1995). Gains in computer and telephone technology may also allow new opportunities for employment in remote areas through telecommuting and for new delivery methods in healthcare through telemedicine (Murray & Keller, 1986). (The topics of telemedicine and telemental health are covered extensively in the Letter 3, Telemental Health Services in US Frontier Areas in this series.) A rural resident in Indiana, Brian L. Capouch, running for county commissioner summarized the importance of the Internet as

a 'virtual place' where a person's physical location is relatively unimportant [and] offers an unprecedented chance for residents of rural areas to achieve economic parity… with our urban brothers and sisters (Mendels, 1996b)

Telecommunication advances may also be ushering in a new era of growth and prosperity in frontier rural areas. As Calvin Beale of the US Department of Agriculture stated, "if you wire them, they will come (Richards, 1994)." US House and Senate members representing rural areas seem to believe this is true. They are becoming strong proponents of technology and telecommunications largely because they believe the information revolution will bring economic hope to their remote districts (Carney, 1997). They believe the positives of lower labor costs and higher quality of life will bring individuals and industries to rural areas if they are no longer tied by location to customers and other employees. To accomplish this, rural legislators are pushing the installation of high-speed transmission lines to small towns and are championing the creation of broad operating principles for the Internet (Carney, 1997)

Getting the wire linkages and connecting to the information superhighway in frontier areas, however, is not always a simple or inexpensive proposition. Inadequate or non-existent phone lines can be costly to upgrade and phone companies have little incentive to invest where there are so few customers per square mile. The Center for the New West, an advocacy group, warns in a Time magazine article that there is a "digital divide" developing and those in the sparsely populated Western states are on the wrong side of the divide. They give several examples. In Wyoming the distance from customers to switching facility is twice as far and twice as expensive as in New Jersey. Leadville, in mountainous Colorado, has an antiquated phone system, unable to provide quick Internet access (O’Malley, 1999). In Grand County, a frontier area of Colorado, residents also encounter prohibitive long distance costs when entering the information highway (Mikol, 1995).

Nevertheless, a number of frontier communities are already exploring the opportunities this new technology offers. The town of Lusk, Wyoming (in Niobrara County, a frontier county with 1 person/sq.mi.), has become famous for its connectivity through appearances in a Microsoft ad campaign. Its story illustrates the potential and pitfalls of connecting small isolated areas to the outside world through the Internet. As touted in the commercials, the town does have a high-speed fiber-optic cable, due to the efforts of a past mayor, but the cable does not connect to the local telephone switching station. The mayor was voted out of office and the town ran out of money before the project could be completed. Since this early effort, the town’s two schools and homeowners have connected to the Internet, but by using the slower regular phone lines. Local residents are now using the Internet for homework, to sell horses, to keep in touch with distant relatives, and to research grass management techniques, among other uses. However, new phone lines are difficult to obtain in this small town and "POTS" (plain old telephone service) line connections are not fast enough or good enough to lure new businesses. The town is again investigating hooking up the fiber-optic cable in the hopes of improving their economy. Even if they accomplish this, however, the town will still need local experts to run the system, often difficult to find in these areas (Sorensen, 1999).

Schools are often the first place in a community that this new technology appears. They use it to expand the number and type of classes offered to students and to give the students some of the same opportunities as more urban children. Classes offered are those that are more difficult to provide in rural areas that have limited resources and numbers of teachers. One school district in southwestern Colorado believes understanding technology is important for this traditionally agricultural area as it becomes more and more integral to farming activities (Mendels, 1996c). In Montana, the goal is to connect 1100 school buildings within a year to allow "distance" learning in rural areas (Mendels, 1996a). Aricaree School District on the plains in Colorado already has 58 computers with full Internet access and a complete fiber-optic classroom (Miniclier, 1998).

Frontier businesses and health care providers are also benefiting from the new technology. In the city of Ainsworth, located in a frontier county in Nebraska, a two-way video conferencing unit is part of their public library and serves local ministers, hospital officials, a lawyer and an insurance agent (Richards, 1994). Telemedicine is starting to overcome the lack of health and mental health providers in these isolated areas. The hospital in Cambridge, Nebraska (7.7 persons/sq.mi.) connects local doctors to specialists at the University of Nebraska Medical Center using interactive video (Richards, 1994). Farmers are also increasingly using the Internet to do research on new farming techniques, to check weather reports, and to sell livestock (Chervokas & Watson, 1997).

The Future of the Frontier

A vigorous debate has emerged in recent years about the meaning of the frontier and its future (Duncan, 1993; Popper, 1986; Popper & Popper, 1987). On the one hand, its history and resources make it a vital part of our heritage and future. On the other hand, it has been said that the Plains—as a result of the "largest, longest-running agricultural and environmental miscalculation in American history", may "become almost totally depopulated" (Popper & Popper, 1987:12). In addition, as the US becomes more densely populated and urban, these isolated rural areas are increasingly seen as important for preservation and protection. A sense of immediacy is added with the incursions into traditionally rural areas by more urban development. In Colorado alone it was estimated that 250 acres per day are converted from farmland, ranchland and open space to housing and other more urban developments (Foster, 1996).

At the same time that Frank Popper was rediscovering frontier areas, he was also postulating on their future (Popper & Popper, 1987). In a controversial hypothesis, he predicted that the population would continue to decline in the Great Plains until large portions became completely uninhabited. He feels these areas should revert to pristine short grass prairie and become a vast wildlife preserve — home to large herds of buffalo. The area that would be created has been dubbed the "Buffalo Commons." To current residents of these frontier counties, this idea is abhorrent.

Yet Dayton Duncan (1993) in his noteworthy book Miles from Nowhere suggested another view of the future of the frontier. After his yearlong travel in the American frontier he remained optimistic about its survival. He maintains frontier counties will stabilize at their "irreducible minimum," which he estimates at around 2 persons/sq.mi. At this density, small towns always have "hairdressers and video rental stores," in his view apparently the two businesses essential for survival.

Frontier residents themselves often see their countryside as the "affordable new frontier" with new opportunities for progress. They view themselves as "pioneers" and feel that other more urban dwellers will follow their lead. This has begun to happen in limited areas as urban "refugees" move to frontier areas and start new businesses using technology. Examples can be found in Lincoln County, Montana where an orthopedic surgeon settled and created an informatics company (Kootenet, 1996); and in Colorado where old ghost towns are being resettled (Lipsher, 1997).

Ironically, these lands that nobody wanted 50 to 100 years ago are now the targets of great debate over how to protect them. As a Denver newspaper put it—"What happens to what many consider the last and best acres of truly wild land?" (Ryckman, 1996). This debate seems to be heating up as the rest of the nation becomes more urban and densely populated. Environmental groups are racing to preserve federal lands within the frontier as wilderness areas. Others are working toward the establishment of National Monuments and National Parks, which increases tourism in these areas and therefore stimulates the economy. Wilderness area designations are supported much more by those who either live in urban areas within the state now or have done so in the past (Bradsher, 1997; Ryckman, 1996). Ironically, environmental groups and rural residents alike oppose the establishment of National Parks, fearing the overuse by tourists (Ryckman, 1996). Even in the less traditionally scenic Great Plains, efforts are afoot to preserve and protect isolated areas. The Nature Conservancy is one organization that has begun a national effort, called the Great Plains Project, to save North American grasslands (Stolzenburg, 1996).

The view of frontier areas as valuable and worthy of preservation is often in direct opposition to their resident’s dreams of economic prosperity. Frontier residents fear that this preservation trend will limit economic opportunity and change land use that has existed for a hundred years. At the forefront of this battle are the federal government, environmental groups and frontier residents. They are squaring off over grazing, water and mineral rights. This conflict has spawned a political movement variously described as the "county rights movement", "county supremacy movement" or the "private property rights movement". These movements maintain counties have authority over the federal lands within their borders and have sometimes led to violent actions against federal offices and agents (Larson, 1995).

A prime example of this movement can be found in Nye County, Nevada. Residents here have a long history of grazing their stock on public lands for reasonable fees. During the 1980’s however, government agencies began to limit these rights in response to the growing environmental movement. At the same time there was a growing interest in these public lands by hikers, hunters, and recreation vehicle (RV) enthusiasts who wanted public access to pristine wilderness. Unfortunately many frontier area ranches, like those in Nye County, are small and barely solvent. Even small changes by federal land managers can have catastrophic effects. These opposing interests led Nye County officials to file a lawsuit against the federal government for control of the public lands within their county. The approximately 35 western counties who have also declared sovereignty over their federal lands are watching this lawsuit with great interest (Larson, 1995; Kenworthy, 1996; Frazier, 1996).

Another example of the friction between frontier residents, the federal government, and preservationist can be found in the newly created Grand Staircase-Escalante National Monument in Utah. President Clinton declared this area a monument in the fall of 1996 in an effort to preserve its pristine wilderness condition. Many of the frontier residents around it and the state of Utah were less than happy that a large area rich with minerals was taken out of state and county control (Egan, 1997).

Summary

Frontier areas are a particularly interesting and often forgotten type of rural area. They are notably distinct from other types of rural and nonmetro areas because of their location in the West and their extreme isolation. In fact, their isolation and distance from services define them. Their western nature lends to their picturesque, but also extremely rugged, character. This harshness and a lack of abundant water make everyday living on the frontier a challenge. Their future has always been in question, and never more so than now with the pressures from their more urban neighbors.

Frontier areas are not at all homogenous, however. They differ in climate, economies, population trends, and certainly in culture. All of their common and unique characteristics must be taken into account when discussing mental health service provision to their residents. Funding agencies, Congress and rural advocates need to understand frontier areas’ commonalties to adequately understand their residents’ needs. Individual practitioners, managed care organizations, and state authorities must understand their diverse natures when providing treatment and creating service provision models. These areas cannot be arbitrarily lumped with other rural areas and certainly not with urban or metro areas when considering health and mental health services issues. Frontier areas deserve to be understood and accounted for in the new health and mental health care arena on their own terms and in consideration of their special uniqueness and value to all U.S. citizens.

References

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Callahan, P. (1997, January 13). Job rare in rural areas. The Denver Post.

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Foster, D. (1996, January 4). Trinidad to lose last coal mine. The Rocky Mountain News, p. 6A.

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