c^.^^'/ rCDS'SD-z-. SPECIAL DEMOGRAPHIC ANALYSES Appraising the Trend and Reasons for Moving ^ U. S. Department of Commerce BUREAU OF THE CENSUS SPECIAL DEMOGRAPHIC ANALYSES CDS 80-2 Appraising the Trend and Reasons for Moving Larry H. Long and Diana DeAre Issued November 1980 j-KZ-^K f ¥ ^rAT^so^""* U.S. Department of Commerce Philip M. Klutznick, Secretary Luther H. Hodges, Jr., Under Secretary Courtenay M. Slater, Chief Economist BUREAU OF THE CENSUS Vincent P. Barabba, Director BUREAU OF THE CENSUS Vincent P. Barabba, Director Daniel B. Levine, Deputy Director George E. Hall, Associate Director for Demographic Fields CENTER FOR DEMOGRAPHIC STUDIES James R. Wetzel, Chief Acknowledgments— Marie Pees of Population Division prepared or supervised the computer tabulation of all data appearing in the study except for table 7, which was programmed by Mike Fortier of the Center for Demographic Studies. Clerical and statistical assistance were provided by Joyce E.Williams of Population Division. Ruth Breads typed successive versions of the text and tables. Parts of this work were originally presented at the annual meeting of the Population Association of America, Philadelphia, April 26-28, 1979. Library of Congress Cataloging in Publication Data Long, Larry H Migration to nonmetropolitan areas. (Special demographic analyses; CDS-80-2) Bibliography: p. Supt. of Docs, no.: C 3261 : 1. Migration, Internal— United States. I. DeAre, Diana R., joint author. II. United States. Bureau of the Census. III. Title. IV. Series. HB1965.L58 304.8'2'0973 80-607185 For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 Preface This study is another in a series of publications from the Census Bureau's Center for Demographic Studies. The purpose of these publications is to pro- vide insight and perspective on important demographic trends and patterns. Most bring together data from several sources and attempt to enhance the use of Census Bureau data by pointing out the relevance of the statistics and popu- lation developments for policy analysis and policy planning. A distinguishing feature of the studies is the inclusion of broad speculative analyses and illustra- tive hypotheses offered by the authors as an aid in identifying the reasons underlying population trends. Larry H. Long is a senior research associate in the Census Bureau's Center for Demographic Studies. His research has focused on regional population patterns and the changing relationships of central cities, suburbs, and nonmetropolitan areas. Recent publications on these topics include The City-Suburb Income Gap: Is It Being Narrowed by a Back-to-the-City Movement? (coauthored with Donald Dahmann; U.S. Bureau of the Census, 1980) and "Back to the Countryside and Back to the City in the Same Decade," a chapter in Back to the City: Issues in Neighborhood Renovation, edited by Shirley Laska and Daphne Spain (Pergamon Press, 1980). Dr, Long received a Ph.D. degree in sociology from the University of Texas at Austin. Diana DeAre received a Ph.D. degree in geography from the University of Texas at Austin, v^here she was an affiliate of the Population Research Center. She has been with the Census Bureau's Population Division since September 1975. Her research interests include population distribution, small-town growth and decline, rural development strategies, and the farm and nonmetro- politan populations. Ill Digitized by the Internet Arcliive in 2012 with funding from LYRASIS JVIembers and Sloan Foundation http://archive.org/details/nnigrationtononnneOOIong One of the most unexpected demographic developments in the United States in the 1970's was the shift of nonmetropolitan areas to net inmigration. Partly because of this change, the nonmetropolitan sector, which includes many small towns and rural areas, experienced noticeably faster rates of total population growth in the aggregate than did metropolitan areas. To many people, these changes seemed to imply a reversal of the longstanding association of rural-to- urban migration with rapid growth of large urban areas, and there was even a suggestion in the data and discussions that new forces might be governing population redistribution in the United States and new motives might be shaping the residential location decisions of individuals. Understanding these changes requires an analysis of reasons for moving and the motivations that underlie decisions to live in one place rather than another. Some insights into reasons for the new patterns of the 1970's have been . gleaned from examination of the types of nonmetropolitan counties that had net inmigration. For example, many counties shown by the 1970 census to have concentrations of retirees have grown in population in the 1970's, suggest- ing retirement as a reason for moving that has helped to shift the nonmetro- politan sector to net inmigration. Also, net inmigration to many nonmetro- politan counties with recreational facilities implies that the growth of leisure time and the tendency to spend at least some of it in a rural setting have been factors in the nonmetropolitan migration turnaround. A number of other features of nonmetropolitan counties have been associated with a renewal of population growth in the 1970's (Beale, 1977; Morrill, 1978). Economic changes have clearly played a role. A renewed search for energy has ^ produced net inmigration in coal-mining areas of rural West Virginia and some of the Rocky Mountain States, and other economic changes— like the shift of many light-manufacturing jobs to nonmetropolitan locations to take advantage 1 of lower taxes, less expensive land, and cheaper labor costs— have decentralized' jobs and enhanced employment opportunities in nonmetropolitan areas (see, for example, U.S. Department of Housing and Urban Development, 1978)j Expansion of many jobs in services, like local government, has also facilitated the change to net inmigration in the nonmetropolitan sector in the 1970*s (Carpenter, 1977). Employment as well as population grew more rapidly in nonmetropolitan areas than in metropolitan areas in the 1970's, suggesting an 'I economic basis for the population shift (Regional Economic Analysis Division, \jt 1978; Renshawetal., 1978; Wardwell and Gilchrist, 1980). _J Among researchers, however, there is near-universal agreement that economic factors alone cannot fully account for or explain the change in the 1970's in migration between the metropolitan and nonmetropolitan sectors. A turn- around in migration patterns has occurred even in relatively isolated counties of modest income levels (Beale, 1977), and^thjs and other evidence have sug- gested to many persons that noneconomic considerations involving quality^of^—r life or environmental amenities have become more important in individual 1^ "^decisions to move or not and that this development has favored a tilt of -^ population toward less urban, more residentially attractive settings in small towns or rural locations (Beale, 1975; Goldstein, 1976; Morrison, 1976; McCarthy and Morrison, 1978). The theory is that either residential prefer- ences have changed to favor nonmetropolitanai:easLj>.nndjyjduals_have become more willing or better able to act on the basis of longstanding preferencesToT- living in a nomrietro poll tan setting, even at the sacrifice of income maximiza- tion (Carpenter, 1977; Roseman; 1977; Wardwell, 1977; Ploch, 1978; Blundell, 1980). This monograph presents a perspective on the duration and motivational basis of this new population pattern, which emerged in the early 1970's. We first want to ask the obvious question: • Is there any evidence, according to the most recently available data, of a slowdown or abatement in the shift of population growth and net inmigra- tion in favor of nonmetropolitan areas? After addressing this question, we want to go beyond the basic population figures and inquire, to the extent feasible, into the behavioral bases underlying the development of net inmigration to nonmetropolitan areas. Data on reasons for moving provide some insights along these lines, so drawing upon the Annual Housing Survey, the investigation that follows is the first on a nationwide basis of reasons for moving to nonmetropolitan areas of the United States in the 1970's. The questions we address include: • To what extent do nonemployment motives underlie the net migration to nonmetropolitan areas in the 1970's? Would nonmetropolitan areas still have net inmigration if only persons moving for employment-related reasons were considered? u« How many of the migrants to nonmetropolitan areas stay close enough to allow them to commute into a metropolitan area for employment? Do these exurban movers differ from other metropolitan-to-nonmetropolitan movers in terms of reasons for moving? That is, are they like city-to-suburb movers but simply moving farther out, or do their reasons for moving imply differ- ent motives that carry them slightly farther from an urban core than city-to- suburb movers? f In what types of migration streams— between metropolitan areas, between nonmetropolitan counties, from metropolitan to nonmetropolitan or from nonmetropolitan to metropolitan areas— are economic motives most preva- lent? Conversely, in which of these various types of migration do retirees and persons moving for ostensibly noneconomic reasons play a significant role? Because effective policy planning requires an assessment of how long current patterns will continue, do available data provide any basis for speculating about whether present trends toward population deconcentration can con- tinue in the face of energy shortages and rising prices of energy? THE NEW PATTERN: IS IT REAL? HAS IT ENDURED? An apparent new trend in population and migration patterns was announced on November 23, 1973, when the Census Bureau issued a press release with data from the March 1973 Current Population Survey showing more persons to have moved from than to metropolitan areas in the three years since the 1970 census (U.S. Bureau of the Census, 1973). An independent data source, the Census Bureau's annual estimates of population by county, yielded two widely accepted "proofs" that the Current Population Survey data did indeed repre- sent a new pattern of population redistribution. .First, the net inmigration to nonmetropolitan areas could notbejltdbMeid, sijnplyJolh lation beyond the statistical boundaries of metropolitan areas, for even non- Inetropolitan counties not adjacent to metropolitan areas shifted to net in- migration and grew more j;a£idj;^_th aji met^ in the 1970*s (Beale, 1975). Secpnd, theJtrj^tiojiaUHDositiw^associatioa betw^e county's incom£J£w4--af^d™^ts^tkel^hood (and rale ).„„Q^^ net inmigration dis- appeared in th.£JL97n!s,._and_Uierejwas^ that the rate of net in migration JoMionrneJj^o^^ was highest for those with the lowest in^come levels (Beale^1^^977). Clearly, more net movement to relatively isolated rural counties and those with modest income levels occurred, raising the possi- bility that monetary incentives had declined in significance as a reason for moving. Concomitant with these empirical discoveries arose the question of whether the new pattern might be only a temporary manifestation that would soon revert to the traditional trend. One economist suggested that the pattern observed in 1970-73 reflected "temporary cyclical adjustments resulting from the serious increase in unemployment rates in a number of metropolitan areas" (Kain, 1975, p. 224). But the overall pattern was not a mere aberration, for both data sets— the annual Current Population Survey and the annual county estimates of population and net migration— have confirmed the existence of the pattern for each year through 1978 or 1979. Thus, the new pattern has endured about 8 or 9 years. Our basic concern here is whether there is any observable change in the pattern itself, for example, whether there is any evidence of a slowdown in the shift of population and net inmigration to the nonmetropolitan sector. The net in- migration to nonmetropolitan areas in the early 1970's was a pre-energy-crisis migration, and the oil embargo of the winter of 1973-74 and subsequent spot shortages and rising prices of gasoline could have caused individuals and firms to reassess their decisions regarding relocation. Other researchers have sug- gested (Beale, 1976; Phillips and Brunn, 1978) that at some point rising prices and declining availability of gasoline and diesel fuel put constraints on the extent to which population can deconcentrate, because nonmetropolitan manufacturing plants highly depend on truck transportation and nonmetro- politan residents depend more on private cars for transportation than city or suburban residents. Moreover, because per capita and per family incomes remain lower in nonmetropolitan areas (Long and Dahmann, 1980), the ability to absorb gasoline price increases in family budgets may be lower among non- metropolitan than metropolitan residents. Data recently created provide an opportunity for an initial test to examine whether events in the 4 years after the 1973-74 oil embargo measurably slowed the shift of population toward nonmetropolitan areas. The Census Bureau's annual estimates of total population and components of change (net migration and natural increase) for counties are now available from 1970 through 1978, and with such data we can ask whether the net shift of population toward nonmetropolitan areas was as great in the post-energy -crisis years of 1974-78 as in the pre-energy-crisis years 1970-74. A difficulty in accurately making such a test is that the official definitions of metropolitan and nonmetropolitan changed between the beginning and end of the 8-year study period. For example, after the commuting data from the 1970 census became available in 1973, more than 100 counties were added to stand- ard metropolitan statistical areas (SMSA's), reflecting the extension of subur- banization and the fact that as a result a number of nonmetropolitan counties had become functionally parts of metropolitan areas. In addition, new SMSA's are created as nonmetropolitan cities grow into metropolitan status, and based on the Census Bureau's intercensal population estimates and special censuses since 1970, a number of counties that were nonmetropolitan in 1970 have been reclassified as new metropolitan areas. Thus, in order to compare 1970-74 and 1974-78 population change in metropolitan and nonmetropolitan areas, one must deal with the fact that official statistical definitions of metropolitan and nonmetropolitan differed in 1970, 1974, and 1978. Accordingly, we assembled table 1 to show 1970-74 and 1974-78 average 00 T3 o n3 Z ■a c c *■*-> 3 Q. O a. c IS < si n c r f« bfi sz S? o >- (4- o 3 < s c CO ON E r^ 3 c o Tt <+- c o en c W) 2 r— ffl c ro bfl F ^- ^^ o U ^ «j H ^ o < o m 00 «N 00 «N CN r— CN T- O -^ CN CN CN CN ■«t o a\ lo 00 vo lo 00 o\n^ I— r- "^o CO r^ vo . rn ox O CN -^ VO O CN 00 CN <»« t. 00 -t ■«t in 00 r- 00^ Tt O CN m in c o I I - o. (/) 1/1 y < - - r_' c "^ ^' c < ^ oto^ oto^ 0(yiS ;^.2 LO ;^ ;^ cyi p ^ to a> -a to a> -a wi " 9 — O ^ " 00 "" C U- LU (U a> 1- *-> c 1- f^-S ^ — < ^ 5 U « "» Z ci n] L. .i£ J^ D. •^^ s t/1 to c ~ ^ c O 3 O o. o -^ 2 o J2 +J ■<-> 3 E fe o ^ ■+- °- "• c c o ■^ '7, ^-o -m 0\ o^ = .ti ^ *-> -x o " a-- 2 o o if 5 § a> C rj ■■ ° 3 S • f^ ^ TD -^ O (/) "rt P (U « 00 3 .E (^ § ^ ^ X xi :a < o m ^2 O - 00 X) c tj o O ^ QlQ- o ^ Il- ls .ti Q. c O 2 o r: o o ° 3 i: c o ^ 2 § 2 i P »^. "^ "*. «N CO Tf r-; CN r-; p 1— , T— , CN »-; Jc^r^oqvqo^T^<^^^^or-;CNf<^^-;l/^o^vqT-;ln«/^ O o in CO T-^ T- r>^ vo iX »— * ro u^* r^i r^ c>I 1-^ Tf * cr> momCNvovocNONoofOCNTf t— vooocnt— »noO'^cocovor^'*r*oovo'^t— ONCNCNino lo T-or^CNr- CNTfcncnT— -^ r~ rom»— »— cocn VO m T— T- r- o rooor^ONvofNco«nvooor-oO'— OimvoCTNCNcnvooor-. r- en t— T— r— r- V ♦J "*i o .E i| It E .r. -a -a >1 § r ^ o 5 l_ - 0) o i: c ^ c u. •c 2 m 0) ^ (U Sjf « go o ^ S.5P « (D o o u a> •— -J 1- _J CQ Z S 3 < O is Ui < Qi ll-s «> o £ 5 O O U Z Z 14 Forces, and students. The number of sample cases in these categories is too small to allow the conclusion that metropolitan areas actually have net inmigra- tion of household heads with these characteristics, but other studies have suggested reasons why metropolitan areas (especially central cities) appeal to persons in at least some of these categories (Long and Click, 1976; Munick and Sullivan, 1977). Note that the employment-related reasons appear to be more often reported by migrants to than from metropolitan areas. About 48.5 percent of households moving to metropolitan areas gave one of the employment reasons, compared with 40.7 percent of household heads leaving metropolitan areas. Unless one adopts a more expansive concept of employment-related reasons than shown in table 5, the conclusion is that strictly employment-related reasons account for less than a majority of households moving between the metropolitan and non- metropolitan sectors. In general, the data tend to support the thesis that the shift of migration in the 1970's to favor nonmetropolitan areas is substantially the product of persons moving for reasons not directly related to jobs. The net inmigration to non- metropolitan areas seems to result from persons moving for such nonemploy- ^ ment reasons as a desire to be closer to relatives (conceivably some of these migrants are earlier rural-to-urban migrants "going home") and newly estab- lished households and others with a desire to own their own homes or to obtain larger houses. Lower housing prices in nonmetropolitan locations also seem to have drawn migrants from metropolitan areas, and dissatisfaction with neighborhood conditions in metropolitan areas appears to propel r^^^^^ nonmetropolitan areas. The nonmetropolitan sector probably has net inmigration of retirees, but the number of sample cases in the 1975 Annual Housing Survey is too small to draw firm conclusions. According to table 5, an estimated 43,000 household heads moved to the nonmetropolitan sector in the 12 months preceding the survey, and 12,000 moved in the opposite direction. The apparent difference between the two numbers is not large enough to draw statistically reliable conclusions about the net exchange of retirees. These figures are perhaps sur- prising in that the representation of retirees in the metropolitan-to- nonmetropolitan stream is not higher, for the effect of retirees has played a prominent role in analyses of the nonmetropolitan migration turnaround (e.g., Beale, 1975; Morrison, 1976). An estimated 5.6 percent of household heads migrating to nonmetropolitan areas in the 12 months preceding the 1975 Annual Housing Survey named retirement as the main reason for moving. Even if these retirees were excluded from the stream of outmigrants, metropolitan areas still would not have net inmigration. Hence, these data on self-reported reasons for moving suggest that retirees account for a relatively modest propor- tion of the metropolitan-to-nonmetropolitan migration stream and do not, by themselves, account for the turnaround in nonmetropolitan migration. Two qualifications need to be made to this conclusion. First, the effect of IS retirement on nonmetropolitan population change may be far greater than the number of relocating retirees would imply, for clearly there can be multiplier effects whereby retirement migration generates employment for persons still in the labor force. Second, the number of household heads who in the survey reported retirement as the main reason for moving may greatly understate the true number of retirees among migrants. An earlier study (Long and Hansen, 1979) of Annual Housing Survey data on interstate migrants in the mid-1 970's indicated that the number reporting retirement as the main reason for moving was only about one-sixth as large as the number receiving pension income. Many of the migrants with what appeared to be retirement income gave an employment-related reason for moving or said the move occurred to be closer to relatives, to achieve a change in climate, or for some other consideration rather than retirement as the main reason. The broad conclusion is that many retirees reenter the labor force or for some other reason are difficult to identify separately in surveys as retirees. For these reasons, the effects of retirement on population distribution are difficult to assess accurately. A final observation about table 5 is that a fairly substantial number of spatially mobile households did not report a reason for moving or gave a reason that could not be assigned to one of the 30 prelisted categories. Together, these two groups constituted 85,000 household heads moving to nonmetropolitan areas (about 11 percent of the total) and 55,000 household heads moving in the opposite direction (8.5 percent of total households moving to metropolitan areas). These figures seem to imply a net inmigration to nonmetropolitan areas of persons in these residual categories. To investigate this possibility, we examined the "not classified" responses written on the questionnaires of the 1979 Annual Housing Survey. We found that a sizeable number expressed what might be considered prorural attitudes: "wanted out of a big city," "wanted a farm," and "wanted to live in the country" were some of the handwritten entries. Among the not classified group we did not find a single case of a person expressing the opposite sentiments that would indicate a preference for living in a big city or a metropolitan environment. This exercise suggested to us the real possibility that nonmetropolitan areas have a small net gain of migrants expressing motivations not represented in the 30 coding categories; such a conclusion serves to underscore the heterogeneity of reasons underlying migra- tion to nonmetropolitan areas. MIGRATION OF EMPLOYED HOUSEHOLD HEADS In assessing the role of employment considerations in migration between metropolitan and nonmetropolitan areas, it is necessary to control for migrants' employment status. Perhaps the net outmigration from metropolitan areas, as shown in table 5, can be attributed entirely to persons not in the labor force. If so, then one would understandably expect to find a higher representa- tion of noneconomic reasons among households moving from than to metro- politan areas. In order to take these considerations into account, table 6 shows 16 c CD W) c > >> o o in 00 r-^ '<^' O d r-^ U-^ CS CO O infnT)-Tfr-vO'<;l-v^ lO r- CN T- CO T— CN ■^vo^tr^ooocNiooococNooin-^oooo CO r-OOCNt— >— T— r-T— r- CNt— 9 o 2 o sz ■M 3 o c c .2 1^1 c •a c a> .2 E iS BO >- o f« o (TJ JZ C F h-^ SO 3 n o 4) -a o t -= c w) o «j o O u 2 = o o II SZ (U .— (/I o e o 4-> U a> « JZ c <+- tz ti Z b^ ^ o -j^ o C 4) ro Q. ^ M- « a> £ O O < Ol U Z Z O -o o O ^ JO -a (U tl o o. c^ 60 C '> o c ^ - 1 C^ 60 SI = 1 i-l ^ 60 D. C E -o o ^ o i 00 -Si r9 s = >• Ji 5 ^ ^ '-^ = c o o o Q. o .E o ui '•Z. "^^ ^ 5 ^ 0) O o « .ti ^ T^ ^00°. Q- c Is 25 t +j o rr O O ^ CL Z ex J- O _ (/I o> flj j2 *-• « =1 o CO O °- o fO (/) ^ ^ n ._ c (/) — rfl Q. 2i E r- « -* * CM* CN r-* '^. '^ *-i "^ '^ ^. ^. "^ ^ ^. ^. ^ ^. ^ '^. r-* T-* 00 Tt rn T-^ *oo CN T- m r- r- >X) in CN r-; -^^ oj CN r— o r- ^^ r-^ cn r-; ^, ■ vOTfcncNCN'^tvooooorn O r-; rn o CN CN r-; 00 vo ON "^ cn r-; cn r^ CN rn r- in in vo l!!!^ o in cn T- r-' r^' vd in r- cn in CN CN CN T-' 'sj- CN CN m* in oovovocncNoovoinincNf^ •^ T— CN r- CN T- O r- r- CN r- CN ON VO 00 r- 00 CN >— ' r-* * ' "^' ON r- Tl- ONONr-^r-r^Tj^-^^^OOinOOVDOONU^ONOTtCNVD 2 »— r-cnrtcNON'^oocncnincNcn»-^cncNCN ooi— °° "t T- CN »- r- r- 10 o CN CN vq vo 10 CN cn Tj; Tf 00 00 o CM CN cn cn o vd r-^ C3 CM CM in ■^' Tt cn cn r-* cs r- * r-^ "«t r^ -^ r-^ CM -it CM 04 r- r- c ^ u ?«§ D E - E " o ^ >. I- -a Q I si U Ofi _ .' en 00 -<*, r- 1-^ «n CO Tt Tt q r-* --t r-* vo in q fO «X -^ Tf vo q o oq 00 oj ON r-. Tt q ON 00 r-; cn r^^ oq oq r- t— t-^ r-^ q q ^ ^^A #-^\ ^s.1 r^ /Vk v4- /«^ /■~^ «*^v 1^^ ^_ ^.1 i^-v ^''"S /K.I r^ 0\'^mOfnr-inr-CN«n CN r- U-> 1 — oor-cooN'— >ocNr~r-;T-;0\r-;iovqoNvo * CN CO * O * O "«t Tf ON CN IT-' VO 00 '!tcNcncNvqr^CN«— inoNoqvoqincsvooNCSvou-) ON *'^rn?-^r- * "or^cnvovooor^vorrm *»— r- t— cn cs cn yo CN irj r-> 1— cn -^ r- CN CN CN in rn in vo q ir^ oq r-; ON *CNin»-in 'r^' £ > o o 00 «8 g S 5 « X £ -. c: i" c ^^ "* c •.-. S £ o o u z z It E O 60— C -C « .2 5 t- "> Sj Q «^ ;_ Q rd ro 4^ « C ZUO gH^SO »- J= O CO I- l_ -O — O O E a> S « -^ S -•-< j_t 4-1 re C *- « J= LU < Q^ (J it tj U I- O O z z tj o V 00 Si « 2 c O V r- <" >. " re Oj E Q. o ^_3 26 1970-74. This conclusion applies regardless of whether one uses the 1970 or 1 980 definitions of metropolitan and nonmetropolitan. The momentum to population growth in the nonmetropolitan sector results from the Interaction of net migration and natural increase. Between 1970 and 1978 the crude rate of natural increase (crude because it is not standardized for age) fell somewhat less in the nonmetropolitan than in the metropolitan sector, and it probably did so in part because of the tendency of net Inmigration to bring in persons in their reproductive years. Through such a process, net in- migration In one period of time can boost rates of natural increase in later periods. Because of this kind of "automatic" mechanism, nonmetropolitan areas in the aggregate are likely to continue, for a while anyway, to have higher rates of population growth than metropolitan areas. An abrupt reversal to the previous pattern of a higher growth rate in metropolitan areas is therefore unlikely. Other considerations also suggest a momentum behind nonmetropolitan growth. Past trends toward decentralization of employment (see, e.g., U.S. Bureau of the Census, 1972) have resulted in extensive movement of jobs away from large cities, implying that a rapid recentralization of population would not necessarily reduce commuting distances to an appreciable degree in the short run. Moreover, the convergence of metropolitan and nonmetropolitan income levels (Zuiches and Brown, 1978) suggests that nonmetropolitan residents may be better able now than in the past to absorb higher commuting costs or make other adjustments (e.g., buying smaller cars or better home „. insulation) to rising energy costs. To a very large extent, the duration of the faster rate of population growth in the nonmetropolitan sector depends upon how metropolitan and nonmetro- politan are conceptualized and how these concepts are put into practice. One of the ironies of the present is that the Nation is still metropolitanizing but only because of population growth in nonmetropolitan areas. This paradox results from the fact that all of the increase between 1970 and 1978 in the percent of the population defined as metropolitan is attributed to the growth of nonmetropolitan cities and towns into metropolitan areas and to fusion of other nonmetropolitan counties with existing metropolitan areas. When the 1980 census results become available, more nonmetropolitan counties will be redefined as metropolitan, and the result is that the momentum to nonmetro-l politan population growth ultimately leads to metropolitan population growth.j REFERENCES Beale, Calvin L. 1975. 77?^ Revival of Population Growth in Nonmetropolitan America. Washington, D.C.: Economic Research Service, U.S. Department of Agriculture. 1976. "A Further Look at Nonmetropolitan Population Growth Since 1970." American Journal of Agricultural Economics 58: 953-958. 27 1977. "The Recent Shift of United States Population to Nonmetro- politan Areas, 1970-75." International Regional Science Review 2: 113-122. 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