Volume 1, Number 3 July 2000
Ohio's Geographic Mobility
National Mobility
Millions of people move every year. Between March 1997 and March 1998, 42.5
million Americans moved, with most of them, 27.1 million, moving from one
residence to another within the same county, which is known as local movement.
(Current Population Reports, 1997-1998). The movement of people where both origin
and destination are within the United States (excluding Puerto Rico) is referred
to as domestic migration. Migration occurs when there is a change of residence.
In essence, net migration is defined as the number of in-migrants (people moving
into an area) minus the number of out-migrants (people moving out of an area). A
positive net migration number indicates an area had more people move in than move
out; conversely, a negative number indicates more people moved out of an area
than moved in.
Demographics of Migration
Nationally, people in their twenties moved more than any other age group.
Generally, as age increases, the moving rate declines. Non-Hispanic whites had
the lowest overall moving rates (14.5%) than African Americans or Asians and
Pacific Islanders (18.9% for both groups). People of Hispanic origin, who may be
of any race, had the highest rates of moving (21.2%). Nationally, regional net
internal migration (movement within the United States) revealed that more people
moved from the North to the South. (Current Population Reports, March 1997-1998).
The Midwest region, which includes Ohio, did not have any significant population
changes due to migration. Migration affects a state's population in the following
ways: its size, direction, and source. The migration flow can be comprised of
immigrants from abroad or internal migrants from other states. The influx of
minority immigration can change the demographic composition of a state or county.
For example, California has a large, unskilled immigrant flow while Florida
attracts a skilled, internal migration flow. Generally, as minorities move into
an area, non-Hispanic whites move out - this trend is referred to as "white flight"
(Frey, 1994). In general, people who move from state to state tend to be better
educated and more affluent than non-movers. In the late 1980s, net non-Hispanic
white migrant gains occurred in the South, Pacific, and the Mountain regions of
the country. Net out-migration occurred in states with high international
immigration or declining economies. This trend may be one reason why non-Hispanic
whites left the Midwest.
Ohio's Migration Pattern
Of particular interest to Ohio is the net out-migration of 163,876 people
from 1986-1997 (Figure 1). Ohio's migration information originates from the U.S.
Census Bureau. A concern for Ohio with a loss this size is the possibility that
Ohio is losing its college graduates - a trend referred to as the "brain drain"
(Frey, 1994). Well-educated, highly skilled people tend to be more mobile than
the rest of the population. Ohio and other northern, industrial states are losing
many of their college-educated graduates (Frey, 1994). This group tends to
migrate to Florida, California, and both coasts. Why did Ohio experience a net
out-migration of 163,876 from 1986 to 1997? One reason may be Ohio's declining
economy from 1985 to 1990. The decline of industrial growth and the loss of
manufacturing jobs slowed the economy, so college graduates looked for employment
outside the state. From 1986 to 1990, Ohio had a net out-migration of 103,504 but
the migration pattern slowed from 1991 to 1997 and Ohio had a net out-migration
of 60,372. Ohio is considered a high out-migration state as was Louisiana,
Michigan, and Oklahoma from 1985-1990 (Frey, 1994). Migration is a main source of
demographic change. States with high out-migration such as Ohio may experience a
speeding up of the aging of its population. Economically, employers are left
trying to fill job vacancies with a shrinking pool of younger people to take
those jobs. The geographic movement of people increases the gaps among rich,
poor, minority, and white. States such as California attract many immigrants from
abroad but also may lose lower income non-Hispanic whites.
Ohio's County Migration Patterns
Forty of Ohio's 88 counties had more people move out than move in from 1986
to 1997 (Table 1). Not surprising, all of Ohio's major urban core counties had a
net out-migration which means that more people moved out than moved in. Those
counties are as follows: Cuyahoga (-114,753), Hamilton (-62,860), Montgomery
(-42,673), Lucas (-36,385), Mahoning (-11,799), Allen (-8,008), Summit (-3,369),
and Franklin (-180). Besides the urban areas, some counties in the north central
region, on the western border, and on the southeastern border of the state lost
population due to out-migration. Counties in the north central region that
experienced net out-migration were mostly urban counties such as, Richland
(-5,577), Marion (-2,621), Crawford (-1,904), and Hancock (-1,390). Perhaps the
slowing down of industrial growth along with the loss of manufacturing jobs was a
factor in explaining this decline. On the western border almost all of the
counties that experienced a net out-migration were rural counties such as Van
Wert (-1,189), Putnam
(-1,188), Darke (-977), and Henry (-342). Generally, rural counties
experience the greatest net out-migration as young adults leave to pursue an
education or a career. Along the southeastern border of the state eight counties
experienced net out-migration. Of those eight counties only Jefferson (-5,253) is
considered urban. The loss of people in these counties may be due to economic
(high unemployment) as well as social (higher than average number of residents 65
years of age and older) reasons.
Counties that gained up to 4,000 residents were generally located in the
southern part of the state or contiguous to a major urban area. Rural counties in
the southern area such as Ross (3,676), Pike (3,483), and Hocking (2,384) all
experienced a net in-migration, which follows the trend of the 1990s referred to
as the rural rebound. This trend partially explains the shift in population from
metropolitan areas to rural, nonmetropolitan counties. The 11 counties that
gained 4,000 or more residents through migration were generally a part of a
metropolitan area except for Knox county, which is close to but not a part of the
Columbus metropolitan area. These suburban counties continue to attract people
who desire to live in areas of lower population density while commuting to a job
in a large, urban core county. This trend is evident by the population growth of
the counties surrounding the three major urban areas in Ohio (Figure 1).
Migration differences are much more dramatic at the county and regional level
than at the state level as a whole (Minnesota Migration, 1993). The differences
in migration rates in the state may explain why some areas grew while some areas
declined. Net out-migration is of concern for Ohio since typically the
better-educated, highly skilled people tend to move from state to state seeking
better career opportunities. Is Ohio losing its best and brightest? If so, this
trend may lead to major changes in Ohio's racial and socio-demographic
characteristics, which may adversely affect Ohio's economy as well as impacting
the social programs necessary to sustain an aging population.
Sources
Frey, W. H. (April 1994). The New White Flight. American Demographics.
Minnesota Migration (1993). University of Minnesota, Children, Youth, & Family Consortium.
Ohio Department of Development, Migration Flows, 1986-1997.
U.S. Census Bureau, Current Population Reports. Geographical Mobility, March 1997 to March 1998.
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Table 1. Ohio's Counties Ranked by 1986-1997 Net Migration
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| State/County | Net Migration
1986-1997 |
| Ohio | - 163,876 |
| Butler | 22,919 |
| Warren | 22,233 |
| Delaware | 22,103 |
| Clermont | 16,412 |
| Medina | 15,263 |
| Fairfield | 15,188 |
| Licking | 7,482 |
| Brown | 4,843 |
| Union | 4,779 |
| Knox | 4,636 |
| Highland | 4,159 |
| Ross | 3,676 |
| Pike | 3,473 |
| Wayne | 3,459 |
| Geauga | 3,184 |
| Clinton | 3,016 |
| Logan | 2,726 |
| Hocking | 2,384 |
| Carroll | 2,381 |
| Champaign | 2,354 |
| Madison | 2,323 |
| Portage | 2,191 |
| Wood | 2,190 |
| Adams | 2,083 |
| Miami | 1,983 |
| Preble | 1,965 |
| Ashland | 1,682 |
| Pickaway | 1,630 |
| Fulton | 1,546 |
| Morrow | 1,535 |
| Tuscarawas | 1,494 |
| Perry | 1,404 |
| Jackson | 1,311 |
| Huron | 1,307 |
| Meigs | 1,246 |
| Greene | 1,102 |
| Lake | 1,054 |
| Gallia | 787 |
| Lawrence | 690 |
| Columbiana | 659 |
| Noble | 643 |
| Fayette | 581 |
| Auglaize | 277 |
| Ottawa | 198 |
| Coshocton | 186 |
| Morgan | 118 |
| Vinton | 110 |
| Williams | 14 |
| Guernsey | - 145 |
| Franklin | - 180 |
| Hardin | - 254 |
| Ashtabula | - 282 |
| Henry | - 342 |
| Mercer | - 483 |
| Shelby | - 626 |
| Athens | - 651 |
| Harrison | - 755 |
| Wyandot | - 791 |
| Monroe | - 834 |
| Scioto | - 890 |
| Washington | - 943 |
| Paulding | - 967 |
| Darke | - 977 |
| Defiance | - 1,025 |
| Muskingum | - 1,159 |
| Putnam | - 1,188 |
| Van Wert | - 1,189 |
| Erie | - 1,257 |
| Hancock | - 1,390 |
| Holmes | - 1,515 |
| Crawford | - 1,904 |
| Sandusky | - 2,104 |
| Marion | - 2,621 |
| Belmont | - 2,768 |
| Seneca | - 3,019 |
| Summit | - 3,369 |
| Lorain | - 4,139 |
| Clark | - 4,324 |
| Jefferson | - 5,223 |
| Richland | - 5,557 |
| Allen | - 8,008 |
| Stark | - 8,446 |
| Trumbull | - 10,162 |
| Mahoning | - 11,799 |
| Lucas | - 36,385 |
| Montgomery | - 42,673 |
| Hamilton | - 62,860 |
| Cuyahoga | - 114,753 |
Written by: Rosemary R. Gliem
Maps by: Lori Bolton
Reviewed by: Dr. Don Thomas,
Department of Human and Community Resource Development
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