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MARYLAND PROJECTION SERics
POPULATION AND EMPLOYMENT
•
1975-1990
e/3
EMPLOYMENT BY INDUSTRY
POPULATION BY AGE, RACE AND SEX
PnELDUOHARV
MAY 1977 REVISIONS
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MARYLAND DEPARTMENT OF STATE PLANNING
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ACKNOWLEDGMENTS
The Maryland Projection Series, Population and Employment 197j>-1990 was
prepared by the Division of Research Programs, Albert R. Miller, Jr., Director.
Arthur Benjamin, Chief of Research Programs, wrote and supervised technical
production of the report.
Richard Kirchberger, with assistance from Regina Seltzer, made significant
analytical contributions to the report and had responsibility for the population
projection submodel. Milan Davinic provided substantive contributions to the
employment submodel and to the updating of data bases.
Lester Gilman was responsible for all systems programming. Clerical oper-
ations associated with this report were performed by Martha Vukov. Graphics
were prepared by George Evans.
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TABLE OF CONTENTS
PAGE
PAGE
Acknowledgments I
Abstract II
Chapter I Introduction 1
Chapter II The Linked-Employment Projection
Model 2
A. The Population Projection Sub-
model: Assumptions and Base
B. The Population Projection Sub-
model: Methodology 7
C. The Employment Projection Sub-
model 10
D. Industry Employment - Definition,
Sources and Estimation Methods ... 11+
Population
Organization of Tables and Explanatory Notes .... 17
Population Projections to 1990 20
State of Maryland 29
Allegany County 32
Anne Arundel County 35
Baltimore County 38
Calvert County 1+1
Caroline County 1+1+
Carroll County 1+7
Cecil County 50
Charles County 53
Dorchester County 56
Frederick County 59
Garrett County 62
Harford County 65
Howard County 68
Kent County 71
Montgomery County 7U
Prince George ' s County 77
Queen Anne's County 80
St. Mary's County 83
Somerset County 86
Talbot County 89
Washington County 92
Wicomico County 95
Worcester County 98
Baltimore City 101
Civilian Employment Data
Organization of Tables and Explanatory Notes. . . 105
Maryland 107
Western Maryland Eegion 108
Allegany County 109
Garrett County 110
Washington County 111
Frederick Region 112
Frederick County 113
Baltimore Region HI4
Anne Arundel County 115
Baltimore County 116
Carroll County 117
Harford County 1 18
Howard County 119
Baltimore City 120
Washington Suburban Region 121
Montgomery County 122
Prince George's County 123
Southern Maryland Region 121+
Calvert County 125
Charles County 126
St. Mary's County 127
Upper Eastern Shore 128
Caroline County 129
Cecil County 130
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II. THE LINKED EMPLOYMENT-POPULATION PROJECTION MODEL
The selection of procedures for projecting economic
and demographic variables for subdivisions within Maryland
represents an attempt to account for the relationship of
employment to population and to provide sufficiently de-
tailed information concerning these variables. Oper-
ationally, the linked employment-population projection
model assumes that an examination of the interaction
between the demand for and supply of labor will provide
the best estimate of population change. Accordingly,
determination of the migration component, is a function
of labor force demand and supply. The population pro-
jections therefore are not dependent upon estimates of
net migration based solely on the previous decade, or
upon the use of a fixed migration rate.
The linked employment -population projection model is
a computer based computational technique consisting of
two linked submodels : a demographic submodel and an em-
ployment submodel. Therefore the model has the capabil-
ity to trace the interdependence of demographic and
economic factors in a consistent manner and provide
detailed information concerning the age, race, and sex
specific characteristics of an area's population and
labor force and employment by industry.
The analytical approach underlying the model re-
quires an understanding of prospective socioeconomic
trends for the nation and in addition, a detailed under-
standing of unique characteristics of local areas of
the State. The projection procedures utilized represent
an adaptation of export-base theory. For each local area
of the State, activity sectors engaged in the production
of goods and services to be sold outside the local area
is projected as a first approximation. Employment in
these activity sectors generate income which is in turn
spent on local goods and services that generate addi-
tional employment and income. Resultant employment
demand balances are compared to natural increases in
the population and labor force in order to determine
whether or not an excess of job opportunities are
likely to induce migration into the area to fill re-
sultant vacancies, or alternatively to induce out-
migration from the area given a Bhortage of job oppor-
tunities.
In determining the magnitude of the migration com-
ponent , attributes of area populations such as fertility
rates, labor force participation rates, and age, sex
and race specific characteristics of migration flows,
were explicitly delineated in the model structure and
trended over the projection period.
The resultant projections can be considered as a
best estimate of the levels of population and employ-
ment that will obtain in the absence of area policy
changes of an unusual nature. Therefore they do not
imply either a policy goal or a constraint upon activity
sectors within any given local area. The application
of these projections should not serve to constrain the
positing of alternative rates of growth which may be
achievable given different levels of resource develop-
ment. Therefore, the projections of population and
employment provide a framework for policy evaluation.
In the following sections of this study, assump-
tions and methodology are specified. The projections
are anticipated to be updated on an annual basis. This
is necessary to provide a mechanism in which area alter-
native development strategies can be assessed and incor-
porated in terms of overall impact upon employment and
population.
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NOIIOnCIOHiHI
•I
A. THE POPULATION PROJECTION SUBMODEL:
ASSUMPTIONS AND DATA BASE
Base Population Data
,1
The 1970 political subdivision population data,
detailed by age, race and sex, were originally taken
from the 1970 Census of Population and Housing First
Count Summary Tapes. In a few cases, the figures differ
slightly from the First Count data to reflect some minor
corrections made by the Bureau of the Census in allocat-
ing persons to the correct political subdivision. Such
corrections are negligible.
Mortality Assumptions and Data
In most forecast models, rather than calculating
the number of persons that die during a five year period,
a computation is made of the number of persons that sur-
vive from the beginning to the end of the period. Thus,
the opposite of the death rate, the survival rate, is
incorporated in population forecasts. In this study,
5-year age-specific survival rates are calculated from
available life tables2 and used in the model. 3
1 Political subdivisions referred to are the 23 counties
and Baltimore City.
2 The life table is a life history of a hypothetical
group, or cohort, of people, as it is diminished
gradually by deaths. The record begins at the birth
of each member and continues until all have died.
3 Survival rates were taken from David L. Kruegel and
Jennifer M. Peck, "Maryland Abridged Life Tables, by
Color and Sex: 1969-71," Maryland State Medical
Journal. January, 197U-
The appropriate calculation of the probability of
survival during a five-year period, 5SX is,
S 5 x + J
5 X =
SLx
where
5Lx
5Lx + 5
The number of persons-years lived during a
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The number of person-years lived during the
next five year time interval (from the life
table).
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age group. Since nTx represents the cohort population
in year x and all subsequent years, values of Tx rather
than "Lx are used. The survival rate for a five year
period for all persons 75 years of age and over at the
beginning of the period can be computed by dividing
Tgo by T7j . The survivors thus calculated, which now
become those aged 80 and over, must be added to the
survived population 75-79 to become the population now
75 and over.
In addition, births during each five year interval
must be survived. The survival rate for babies from
birth to the 1-5 age interval is computed by the follow-
ing formula:
0 4I„
where
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Age-specific fertility rates for 1973 were com-
puted for each county in Maryland. Births by age and
race of mother for each 5-year age group for ages lS-kh
vere divided by the number of females of corresponding
age and race and then multiplied by 1000 to arrive at
the number of births per 1000 females in each 5-year
age group. Age-specific rates for each subdivision
were projected for five year periods to the year 1990
by applying to them expected percent changes in the
age-specific rates for the United States according to
the Series III and II assumptions. The number of births
for each political subdivision was derived in this manner
for each five year period of projection. This method
takes into consideration the individual patterns of fer-
tility for each subdivision.
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subdivision during a specific five year time period is
as follows:
r **
B
■x=i5 -"
where
B = The total number of births.
s'x = The fertility rate of a 5-year age group.
pf
3 x m The female population in a 5-year age group.
In the above calculation, the age-race specific
fertility rate for females 15 to 19 is multiplied by
the number of females within the same age bracket to
determine the number of births resulting from the 15
to 19 year old population. The same calculation is
performed for each succeeding 5-year age group up to
and including females 1|0 to 14*. The births from each
age interval thus computed are totaled to yield the
number of births during one year. Finally, this
figure is multiplied by 5 to compute the total number
of births during the five year time period.
Historical Migration Data
In order to have a first approximation of the age,
race and sex distribution of migrants, a five-year
average migration pattern for each subdivision was
calculated from data collected for the 1960-1970 period
These data form an integral part of the procedure to
allocate a subdivision's migrants during the first pro-
jection period along with the historical distribution o:
civilian population. At the end of each projection
period when a new migrant matrix has been calculated,
it becomes the historical migration distribution for
the succeeding time period.
Special Populations
It is frequently observed that identifiable groups
within the population deviate significantly from the
character of the population as a whole. One such group
found in Maryland is the military population and their
dependents.
5 Gladys K. Bowles, Everett S. Lee, and Calvin L.
Beale, Net Migration of the Population. 1960-1970,
by Age, Sex, and Color. University of Georgia,
Athens, Georgia, December 1975-
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Calculation of Commutation Ratios
Since the employment projections used in the model
represent employment at place of work, it was necessary
to adjust employment to the place of worker's residence.
The employment projections by place of residence would
thus be consistent with county-level demographic and
labor force data from the 1970 Census. The adjustment
was made by calculating the 1970 ratio of employment by
place of work to the number of workers residing in the
political subdivision and subsequently multiplying the
ratio by each five-year projection of employment in the
subdivision :
1970 total employment
Commutation ratio = in county
1970 number of workers
residing in county
It should be noted that the above calculation per-
forms a twofold function: first, an adjustment is made
for commuters; secondly, an adjustment is made for multi-
ple jobholders, since the ratio compares employment ex-
pressed as jobs to the number of people who are working.
Commutation ratios are modified over time in accordance
with the I960 to 1970 trend.
B. THE POPULATION PROJECTION SUBMODEL:
METHODOLOGY
The purpose of the submodel iB to project the popu-
lation of each Maryland political subdivision by age,
race and sex for five-year periods using 1970 as the
base year and 1990 aa the terminal year. The submodel
includes three major operations in projecting the change
in population in each five year interval : surviving the
population existing in a subdivision at a given time
period, comparing the labor force supply to the labor
force demand and adjusting the population as a result of
migration.
In the most general terms, the submodel attempts
to generate projections of the three components of
population change -births, deaths and migration. Of
these three components the mortality calculation is
the simplest, since survival rates tend to show rela-
tively little change over time. Projected births, by
comparison, are more subject to short-run changes re-
sulting from postponement of family formation, economic
conditions, and attitudes toward birth control and
family size. The projection of migration requires
greater attention. The submodel assumes that the de-
cision to migrate is closely related to employment
opportunities, and while the composition of the exist-
ing population plays some role in generating migration,
projected employment is the major force in determining
migration flows. The following discussion presents a
detailed description of the three procedures used to
project the population of Maryland's counties to 1990.
The Cohort Survival Procedure
The cohort-survival procedure considers changes
in population resulting only from births and deaths,
and thus deals with a closed population, i.e., one in
which migration has not occurred (Figure III).
The first step in the procedure for each five year
time period for each subdivision is to subtract the
military population from the total population to create
a historical civilian population, distributed by age,
race and sex. The term historical refers to a popula-
tion existing at the beginning of a projection interval.
The historical civilian population is then multi-
plied by the age, race and sex specific survival rates,
(i.e., the probability of living from the beginning to
the end of the age interval) to factor out deaths in
the existing population during the time period. The
result is a projected closed civilian population five
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PROCEDURE H.
INPUTS
PROJECTED
CLOSED
CIVILIAN
POPULATION
/ PROJECTED
/ LABOR FORCE
/ PARTICIPATION
/BATES
/ PROJECTED
/ EMPLOVI^NT
I BY PLACE
OF •:-'
FIGURE 12
LABOR FORCE SUPPLY AND DEMAND
co^vter
RATIOS
/ PROJECTED
/ UNEMPLOYMENT
■ ATE
PROCEDURES
MULTIPLY BY
PROJECTED
LABOR FORCE
PARTICIPATION
RATES
MULTIPLY
BY COMMUTER
RATIO
DIVIDE PRO-
JECTED EMPLOY-
MENT DEMAND BY
I.- PROJECTED
UNEMPLOYMENT
RATE
SUBTRACT
PROJECTED
LABOR FORCE
SUPPLY FROM
DEMAND
MULTIPLY PRO-
JECTED MIGRANT
LABOR FORCE BYf*-
RATIO OF PRO-
JECTED CLOSED
POPULATION TO
TOTAL PROJECT-
ED LABOR FORCE
SUPPLY
OUTPUTS
PROJECTED
EMPLOYMENT
OEMAND BY"
PLACE UF i
RESIOENCE /
PROJECTED
TOTAL LABOR
FORCE DEMAND ,
PROJECTEO
MIGRANT
LABOR FORCE
race and sex-specific labor force participation rates
previously projected for each time period and each
subdivision.
The projected migrant labor force is determined
by subtracting the closed projected labor supply from
the projected labor force demand. If the difference
between demand and supply is positive it is assumed
that a surplus of employment opportunities exist, and
net in-migration will be stimulated. Alternatively,
if the difference between projected labor force demand
and .supply is negative, i.e., the labor force supply is
greater than demand, then outmigration will result.
In order to calculate the projected total net mi-
gration for a time interval, the projected migrant
labor force is multiplied by a ratio of the projected
closed population to the projected labor force supply.
The ratio in effect represents a type of dependency
ratio by which the migrant labor force can be inflated
to a migrant population, inclusive of dependents.
Migration Distribution Procedure
It is necessary to allocate projected total net
migration by age, race and sex in order to project
births to migrant females and to bring together the
various components of the population projected to the
net time interval (Figure V).
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allocated by age, race and sex on the basis of the
historical age, race and sex distribution of net mi-
grants, weighted by the relative size and demographic
composition of the historical civilian population. By
using the historical migration pattern, both in-migra-
tion and outmigration can occur in different age, race
and sex groups, but the net figure will be the projected
total net migration.
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01
over which local areas have no control. Non-basic
activity sectors include the residual, i.e., construction,
transportation, communication and public utilities, whole-
sale and retail trade, finance, insurance and real estate
services, and State and local government.
The export base model analyzes trends in both inter
and intraindustry relationships and projects those re-
lationships within the context of a national framework.
Employment in basic activity sectors is related to an
area's ability to compete with other areas for a portion
of the total market share. Changes in a basic activity
sector's share of employment can be perceived as a re-
sponse to changes in total market factors external to the
area. The employment submodel assumes therefore that
local area basic activity sector employment is a function
of total market demand for output, and changes in these
shares over time reflect gains or losses in the local
area's competitive position vis-a-vis other areas.
Basic Employment
Employment in non-basic or localized activity sectors
is related primarily to the demand by local area house-
holds and businesses for goods and services. However,
not all of this demand is local. Output in excess of
local demand is exported and output below local demand
is imported. It is accordingly necessary to divide non-
basic employment into two separately determined compon-
ents, export and residentiary. The residentiary component
of a non-basic activity sector represents that part of
sector employment which services local area households
and businesses, and is functionally related to the growth
generating activity sectors, i.e., basic and/or export
components of non-basic activity sectors. To deal with
the functional relationships in the model a step-down
approach was utilized. Area employment in a basic activ-
ity sector is related to the historical and projected
values of a corresponding activity sector within a
broader area. For the State, employment in national
activity sectors, and for subdivisions, employment in
State activity sectors were utilized as the correspond-
ing exogeneous values. More specifically, local area
or county employment in each basic activity sector was
expressed as a share of the activities in an analytical
region, i.e., nation and State, and extrapolated for
future years using the least square method. The pro-
jected share was in turn multiplied by the projected
employment in the analytical region to yield the abso-
lute employment in the corresponding activity sector
in the local area.
Localized Employment
The export component of non-basic employment in
a local area was estimated for the historical period
by use of an employment to population ratio in the
analytical region. The export component in a local
area was projected as follows: local area shares of
analytical region employment were trended to determine
future values. The resultant projected local area
share was multiplied by the projected analytical region's
employment to obtain projected local area employment.
Employment in all basic industries and all export com-
ponents of non-basic industries added together yielded
the export base or "growth generating employment" in
the model.
Residentiary employment was projected by applying
projected growth generating employment to projected
multipliers. The interindustry relationship between
residentiary and growth generating employment which is
often called an "impact coefficient" or "export base
multiplier" was estimated for the historical period and
11
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£1
(
Pet Pat /
where:
H = employment in a non-basic industry.
j = subscript denoting non-basic industry.
E ■ export component of the non-basic
industry.
3) Following the procedure used for basic industries,
the export component for each non-basic industry
for the State and for each county was projected.
H
jst = Ejst
tAjut
4 st
= a + ttT
and
Ejst' = Hjst' Njut'
Hjct = Ejct/Njst
H
jet
= «<; + /3T
Ejcf
H
IU
jet' njst'
where H is the export component of the area's non-
basic industry employment, j is a subscript denoting
the non-basic industry, and all other terms are de-
fined as above.
U) Employment in all basic industries and the export com-
ponents of all non-basic industries were then summed
to obtain State and county totals for historical and
projected years.
Gst = ^ Bi8t +
4 st
and
Get =
3ict
^Ejct
where G is total growth-generating employment.
5) The residentiary component for each non-basic industry
was estimated as the difference between the industry
total and the export component.
and
Rjst = Njst
Rjct = Njct
''jst
''jet
where E is the residentiary component.
6) The residentiary component of non-basic industries in
the State and each county were then divided by their
corresponding growth components. These ratios (i.e.,
multipliers) were then projected using the least
squares technique.
Ijst = Rjst/Gst
Ijst = a + bT
and
Zjet = Ejct/Gct
Ijct = <* + /3 T
where I is the export base multiplier.
13
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PI
payment, the Department of State Planning utilized the
BEA employment series with appropriate adjustments.
Accordingly, it was necessary to derive estimates of
the number of self-employed by industry sector and to
adjust our estimates for comparability with the exist-
ing 1967-197U BEA series for the historical time period
selected.
In order to derive estimates of non-farm proprie-
tors by industry, the BEA county totals for non-farm
proprietors were broken out in the same industry detail
for wage and salary employment. The disaggregation was
achieved through the use of a self-employed to wage and
salary worker ratio by industry compiled from the i960
and 1970 Census of Population data on class of workers
available for the State of Maryland and the Baltimore
and Washington, D. C. SMSA's. The ratios for inter-
censal years were obtained by straight-line interpol-
ations of the two benchmark ratios. The product of
these ratios and BEA estimates of wage and salary
employment by industry for the period 1967-197U»
yielded preliminary estimates of the self-employed by
industry for each subdivision. These preliminary es-
timates were prorated so that their respective sub-
division sum would conform to given BEA subdivision
totals of non-farm proprietors. In the absence of
subdivision level data on class of workers by industry
comparable with the State and SMSA area information,
the industry breakdown of non-farm proprietors in all
non-SMSA counties was constructed by utilizing state-
wide ratios of the self-employed to wage and salary
workers. Estimates of the self-employed by industry
for Montgomery and Prince George's Counties were com-
puted on the basis of the Washington, D. C. SMSA
pattern and all component counties of the Baltimore
SMSA were computed on the basis of areawide ratios.
Because the BEA employment series are presently
available only for the years from 1967 to 197U, the
Department estimated comparable employment for 1962,
1965, 1966, and 1975. Like BEA, the Department
utilized UI industry employment data (the first
quarter average) as a basic building block for
industry wage and salary employment. Unlike BEA
which used various sources of information for
undercoverage adjustments, the Department of State
Planning utilized an adjustment factor for under-
coverage, i.e., BEA/UT, implicit in 1967 and 197U
BEA estimates of wage and salary employment by in-
dustry, by subdivision. The 1967 factors were
applied to 1962, 1965, and 1966 UI data and the
197U ratios to 1975 UI data were used to result in
Department comparable employment series for the
estimated years.
In the above estimation procedure, the Department
assumed that the UI coverage or undercoverage ratios
have not changed over time in each industry in each
subdivision. Therefore, the resultant figures of wage
and salary employment by industry in all of the esti-
mated years were carefully reviewed in light of the
State and Baltimore SMSA data by 2-digit SIC codes
prepared by the Employment Security Administration
(ESA). As the Department's estimates showed a high
degree of comparability with ESA numbers in most of
the 2-digit SIC groups, no attempt was made to prorate
our subdivision estimates to the ESA data. Some dis-
crepancies noticed in a few industries were rather con-
sistent over time, indicating that BEA estimates in
1967-197U themselves are not strictly comparable with
ESA estimates in these years.
Our estimates of employment in industries which
are not covered by the UI law were based on various
sources of information and were adjusted to be compar-
able with BEA estimates for I967-I97J4. The basic sub-
division data series for railroad (SIC 1*0 ) and private
households (SIC 88) came from the i960 and 1970 Census
of Population. Forestry and fisheries data were taken
15
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91
Organization of Tables and Explanatory Notes
The following tables are a presentation of the projected popula-
tion of the State of Maryland and its political subdivisions. The
projections are displayed by age, race and sex-specific characteristics
for each five year period from 1970 to 1990. The three components of
population change, births, deaths and migration, are also included in
the detailed projection tables. Additional projections of total popu-
lation by county for 1995 sxii 2000 have been included for the conven-
ience of users requiring longer range projections.
An adjustment of the 1970 population from April, 1970, to July,
1970 was made so that the employment and population projections would
be compatible. Note that the projection figures have not been rounded
off. This does not imply precision to the final digit, rather it is
to avoid discrepancies between totals and the sum of component parts
and to permit the user to round off at whatever place is most suited
to his needs. Such small discrepancies as exist are due to internal
rounding inherent in the use of the computer and do not affect the
projections to any significant degree.
17
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OS
STATE OF MARYLAND
POPULATION PROJECTIONS TO 1990
AVERAGE ANNUAL GROWTH RATE - TOTAL POPULATION
COUNTY
ALLEGANY COUNTY.
ANNE ARUNDEL COUNTY
BALTIMORE COUNTY
CALVERT COUNTY
CAROLINE COUNTY
CARROLL COUNTY
CECIL COUNTY
CHARLES COUNTY
DORCHESTER COUNTY
FREDERICK COUNTY
GARRETT COUNTY
HARFORD COUNTY
HOWARD COUNTY
KENT COUNTY
MONTGOMERY COUNTY
PR, GEORGE'S COUNTY
QU£EN ANNE'S COUNTY
ST. MARY'S COUNTY
SOMERSET COUNTY
TALBOT COUNTY
WASHINGTON COUNTY
WICOMICO COUNTY
WORCESTER CQUNTY
BALTIMORE CITY
STATE TOTAL
1970
1975
1980
1985
TO
TO
TO
TO
1975
1980
1985
1990
r'M
',27
,61
,61
2,65
2,98
2,37
2,39
,56
,87
1,29
1,45
4,56
,96
,97
1,16
,?9
..,41
,,39
1,63
3.14
1.84
1.82
1.83
,67
2', 08
\M
1,36
4,73
,70
2,62
1,25
-,45
,11
..-70
-,85
2,35
,93
1,36
1,31
2,13
,25 .
.,07
,01
2.26
2.23
1.22
1.48
8,95
8,15
4,28
2,88
1,57
r,65
.-,02
,31
2,14
1,13
1,18
1,70
.,25
1,77
1,71
1,80
1,05
.,11
,01
,?5
1.39
1.59
2.15
2.06
,33
,41
,10
,24
2,51
,02
-,16
,88
,66
,06
..,00
,38
.,46
,36
1,07
1,33
1,U0
2,32
1,62
1,60
•1.21
-.50
-.06
.04
.88
1.19
1.26
1.39
21
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AiNndD >ioia3d3ad
AiNnoo asiSiHoadd
AINOOD 93iaVH0
AiNnOO 11333
AiNnoo Tioaavo
AiNOOD 3Nn0aV3
AiNndo laSAivD
ainood aaowiiiva
AINnOO -|3(]Nftav'3NNV
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zz
COUNTY
STATE OF MARYLAND
POPULATION PROJECTIONS TO 1990
NONWHITE POPULATION
1970
1975
1980
1985
1990
ALLEGANY COUNTY.
1184
1121
1125
1128
1130
ANNE ARUNDEL . COUNTY
35082
35931
38064
39265
40736
BALTIMORE COUNTY
22210
23338
24847
26801
29098
CALVERT COUNTY
7795
8994
8874
8728
8590
CAROLINE COUNTY
3982
3886
3839
3762
3906
CARROLL COUNTY
2893
3229
3396
3521
3628
CECIL COUNTY
3099
3069
3269
3361
. 3445
CHARLES COUNTY
13762
15601
14741
15159
14420
DORCHESTER COUNTY
9102
8790
8791
9017
9291
FREDERICK COUNTY
6052
6532
6608
6796
6939
GARRETT COUNTY
67
.. 73
..78
. - 80
84
HARFORD COUNTY
10147
10680
11306
11345
11473
HOWARD COUNTY
5394
7620
10830
12939
14478
KENT COUNTY
3980
4101
" 3793
. 3712
.3646
MONTGOMERY COUNTY
29339
37557
44315
51233
60087
PR. GEORGE'S COUNTY
101389
120943
150547
181557
215613
GU£EN ANNE'S COUNTY
4486
4307
4020
3708
3374
ST. MARY'S COUNTY
8629
8830
9235
9908
10515
SOMERSET COUNTY
7065
7072
7121
7037
6974
TALBOT COUNTY
5732
6Q61
5697
5243
5030
WASHINGTON COUNTY
3598
4062
4434
-4772
_5211
WICOMICO COUNTY
11544
11326
10980
10849
10798
WORCESTER COUNTY
7980
8113
8692
._8955
9192
BALTIMORE CITY
427690
457120
489025
514512
533505
STATE TOTAL
732201
798356 .
873627
943388
1011163
23
9969133
*7lXS0£S
99X686*1
9X2939*7
S61£l£*i
t?9222X*7
X869*76£
X*70££9
1££0£8
06X829
0X3928
X 29829
9*766*?8
SXS£06
6996£
13X1£
X0*7*7£
9ilX£
S2£62
17*7X92
99£**2 '
13221
99099
0X1£9
6*7963
29993
2S3S3
£82*73
otrggix
1162XX
£9860X
*>£8lOX
0X810 X
19*7101 X
*7£0*70X
9£962~
19692
6£8Z2'
*7*7992"'
£9992"
17£992"
0X1£2
*7966X
2966 X
0066X
£996 1
9936X
89X6X
X398X
92691
19621
11619
S6£X9
36X33
XX0X3
8631*7
12302
22202
*79l6X
X*?S6X
1296 X
lt*76X
32*78 X
S3Sf>0OX
213636
*?32£99
300809
8922*71
300099
9X3X19
0£S6X9~
X99X11
1629X1
X*j£9S9
£06029
£X6999
120923
fi£«/.t
999ZX
06 XIX
9269X
XX69X
21*>1X
£9X9X
*7l9£92
2262£2
8Xi£02
93191 X
tSCtfiT
21996
X60£9
S1129X
21*791 X
8*7 299X
X0S*73X
OX*7S*7X
9020£X
33*79 XX
12332
T£l*i2~
se2«
32.2*72"
06X*J2 "'
199£2"
96*7X2
666921
1J0022I
11*7*7XX
U1j2Z0X
12200X
39936
XX2S9
91X££
*7l£2£~
29XX£
X6862
99882"'
X0192
03£62
00628
12961
39131
9£2Xl
90929
23*7 09
196i*»
ULU
*7X62i
99X01
♦76339
29XX9
00239
91££S
6*73 02 X
620+7TT
«?9£90X
29X16
29188
9X0X9
XX*769
66*j£2"'
9T0£2~
0X922"
69802
93*702
6£<502
XS16X
911 X£
£9XX£
X920£
61992
ZZ.ZLZ
9963^2
tl!02
011X98
181028
SU3891
2223 tl
£18019
l*7*7g*79
St7l*i29
6U2lb9
Xll8*i9
991003
988*7*7*7
£999 6£
9XlXti£
669662
61398
2962.8
l££98
921£8
922X8
92X08
*726£9
0002
9661
066 X
996 X
086 X
MOIlVIOdOd
916 X
1V101
016 X
0002 OX
SNOii33road NOiivinaod
QNVlAaVW 30
31V1S
IV 101 3 IV IS
ah 3 aaowinva
AINOOD ti31S3DaOM
AiNOOD ODIfclODlM
AINOOD N019NIHSVM
AiNOOD ibelvi
AINOOD i3Sa3W0S
AINOOD S.AdVW *1S
ainooD Si3nnv n33oo
AiNOOD Si39a039 'Md
AiNOOD Aa3W091hi0h
AiNOOD 1N3M
ainooD oavMOH
ainood aaojavH
AINOOD ii3aav9
ainooD »Dia303a3
AiNOOD a3iS3Hoaoo
AINOOD S3iaVHD
AiNOOD 1ID3D
AiNnoD noaavD
AINOOD SNlibavD
ainood laSAivD
AINOOD 3aOWll"lVQ
AINOOD H3C)N0aV ' 3NNV
AINOOD ANV9311V
AINOOD
VZ
STATE OF MARYLAND
POPULATION PROJECTIONS TO 2000
AVERAGE ANNUAL GROWTH RATE - TOTAL POPULATION
1970
1975
1980
1985
1990
1995
TO
TO
TO
TO,
TO
TO
COUNTY
1975
1980
1985
1990
1995
2000
ALLEGANY COUNTY.
-,92
,27
.61
.61
. ,38
..,14
ANNE ARUNDEL . COUNTY
2,65
2,98
2,37
2,39
1,85
1,50
BALTIMORE COUNTY
,56
,87
1,29
1,45
1,32
1.44
CALVERT COUNTY
4,56
,96
,97
1,16
,59
,38
CAROLINE COUNTY
,29
..,«
,39
1,63
,36
,41
CARROLL COUNTY
3.1«t
1.84
1.82
1.83
1.40
1.12
CECIL COUNTY
,67
2,08
1,40
1,36
,77
,51
CHARLES COUNTY
4,73
.70
2,62
1,25
,97
,83
DORCHESTER COUNTY
-,45
,11
.,70
.,85
„,75
..,49
FREDERICK COUNTY
2,35
,93
1,36
1,31
1,28
1,12
GARRETT COUNTY
2,13
,25
.,07
.,01
. ,36
,64
HARFORD COUNTY
2.26
2.23
1.22
1.48
1.09
.82
HOWARD COUNTY
8,95
8^15
4*, 28
2', 88
2,72
2,51
KENT COUNTY
1,57
-,65
.,02
-31
.,46
. ,33
MONTGOMERY COUNTY
2,14
1,13
1.18
1,70
1,50
1,21
PR'. GEORGE'S COUNTY
,25
1,77
1,71
1,80
1.67
.92
QUEEN ANNE'S COUNTY
1,05
,11
,01
,25
..,44
-,30
ST. MARY'S COUNTY
1.39
1.59
2.15
2.06
1.43
1.06
SOMERSET COUNTY
,33
,41
,10
,24
.06
,02
TALBOT COUNTY
2,51
,02
-,16
.88
.79
,60
WASHINGTON COUNTY
,66
.06
-00
. .38
. .56
,<*5
WICOMICO COUNTY
,46
.36
1,07
1,33
1,34
1.20
WORCESTER COUNTY
1,40
2,32
1,62
1,60
1,55
1,32
BALTIMORE CITY
-1.21
-.50
-.06
.04
.05
.07
STATF TOTAL
.88
1.19
1.26
1.39
1.24
1.01
25
9Z
27
91
STATE OF MARYLAND
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY 1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
346238
176440
169798
0-4
311476
159135
152341
0-
4
321965
164473
15749?
5-9
404245
205638
198607
5-9
373495
190377
163118
5-
9
352498
180160
172338
10-14
410891
208949
201942
10-14
407092
207193
199899
10-
14
385372
196512
188860
15-19
359501
179835
179666
15-19
411180
210143
201037
15-
19
408749
209525
199224
20-24
327942
158552
169390
20-24
366916
188858
178058
20-
■24
423692
221653
202039
25-29
290090
141731
148359
25-29
318836
146917
171Q19
25-29
365391
179890
185501
30-34
241732
119270
122462
30-34
296300
143061
153239
30-34
330 782
151304
179478
35-39
229103
113274
115829
35-39
245977
121209
124768
35-
-39
305624
147346
15827A
40-44
243891
119923
123968
40-44
225860
1 10207
115653
40-
-44
248277
121126
127151
45-49
248318
119661
128657
45-49
233515
113413
120102
4 5-
-49
224673
108417
116256
50-54
217419
106409
111010
50-54
234818
111249
123569
50-
-54
228162
109202
118960
55-59
180098
87719
92379
55-59
20 0823
95742
105081
55-
-59
221347
102387
1 1 8960
60-64
144975
68423
76552
60-64
162804
76117
86687
60-
-64
182698
83900
9879A
65-69
110605
48851*
61751
65-69
123980
54676
69304
65-69
139425
61447
77978
70-74
82659
3391 9
48740
70-74
88896
36085
52811
70-
-74
101328
41034
60294
75*
108274
38967
69307
75*
120296
42110
78186
75+
133812
45614
88198
TOTAL
3945981
1927564
2018417
TOTAL
4122264
2006492
2115772
TOTAL
4373795
2123990 2249805
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
COMPONENTS OF
POPULATION CHANGE
0-4
346587
177069
169518
0-4
355938
181844
174094
5-9
364664
186446
178218
5-9
392875
200590
192285
NET
MIGRATION
10-14
370003
189046
180957
10-14
383580
196038
187542
15-19
395182
202432
192750
15-19
384926
197622
187304
1970-
1975 64445
1975-1980 152548
20-24
428537
223189
205348
20-24
421145
220740
200405
1980-
1985 184104
25-29
415105
20 8959
206146
25-29
431650
217248
214402
1965-
1990 246553
30-34
377372
183780
193592
30-34
436429
217271
219158
35-39
339046
155762
183284
35-39
389041
i 89340
199701
BIRTHS
40-44
305593
145932
159661
40-44
341212
155871
185341
1970-
1975 291870
45-49
246574
119200
127374
45-49
304123
144188
159935
1975-
1980 283287
50-54
219722
104623
115099
50-54
242976
115796
127180
1980-
1985 305181
55-59
217559
101593
115966
55-59
212897
98877
114020
1985-
1990 311819
60-64
203690
90580
113310
60-64
203744
91593
112151
DEATHS
65-69
160554
69189
91365
65-69
180953
76202
104751
70-74
114667
46377
68290
70-74
134718
53685
81033
1970-
1975 180026
7S*
151161
51571
99590
75*
172948
59052
113896
1975-
1980-
1980 184299
1985 206855
TOTAL
4656216
2255748
2400468
TOTAL
4989155
2415957
2573198
1985-
1990 225404
29
2i)0B£T 0661
-9861
et)££t>02
171790E6 I
266££6E
"1V101
81718061
0801)081
B282Ti£
IV 101
00929T 9861
-0861
691)91)1 0861
-9£6I
IT 266
26£6D
£668t7l
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IIE98
222ED
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£D£0£
£0£91)
090£XX
D£-0£
66269
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t>9£99
t7£X99T
69-99
89£8£
t)2£69
2608EI
69-99
SH1V3Q
I7OEI76
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I612£X
179-09
SED96
t>1>2££
6i92^.l
1)9-09
986TE2 0661
-986T
£S££6
X9£28
1711911
69-99
£9296
£0998
01UX81
69-99
6E81>22 9861
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99££0T
62E96
980002
179-09
8E9E6
£8998
122081
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T9i202 0861
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280121
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9££££T
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D179X9I
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62-92
6EE09T S861
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860191
8E9262
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£1)0891
09i90£
61-91
99£01>T
2828171
££0682
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I79I9EI
0£6£DI
t7£i082
t)X-Ol
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9299DT
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917800E
6-9
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9£t>0t>I
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6-9
9£02£l
17968EI
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17-0
6E6921
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30 SlN3N0dW03
31V W33
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869669T
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806E2EE
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696HTX
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82882
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60629
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69-99
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69-99
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260X1)
628E6
69-99
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179-09
28£99
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69-99
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66128
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69-99
22£8£
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69-99
21U86
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179-09
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179-09
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1700(6
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19868
1796281
6H-917
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817196
2811761
617-917
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299101
62E012
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89866
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171)8121
££2092
6E-9E
62£66
09966
6£E66I
6£-9£
09826
9t,E£6
96T98I
6E-9E
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D£D£92
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6298TI
2992172
t)£-0£
6E086
9ET86
9iI96l
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1209171
969S1il
919£82
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09t)££I
£62611
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62-92
681702V
£28£XI
91E8E2
62-92
et>299i
i)699il
E68IEE
172-02
261)6£X
2£809I
179E682
D2-02
8099EI
E890EI
160i92
1)2-02
22DE9T
68229T
TI£9T£
61-91
882991
£9l7l79T
Xt)£6XE
61-91
92EIDX
9T0£tiI
2t)£D82
61-91
EE29D1
0EEE91
C99662
17T-0T
££6£9X
86909T
U9f7T£
1)1-01
96699 t
9£6£9T
0/.602E
♦il-OX
9T60EI
866i£T
916892
6-9
T172217T
66061)1
0DEX62
6-9
9D6E9I
2£1)09X
8i£DT£
6-9
68E9II
U9T2I
0969E2
17-0
6£££TT
01)86X1
6£9££2
1)-0
££1>X£I
8Dii£l
122692
«)-0
3TVW33
3"1VW
1V101
39V
31VW33
3TVN
"1V101
39V
31VW33
31VW
1V101
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9£6I xnnr
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NOIlVlfldOd 31IHM 031D3rObd
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oe
STATE OF MARYLAND
PROJECTED NONWHITE POPULATION
AGE
0-1
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
B5-59
60-64
65-69
70.74
75+
TOTAL
77017
89867
89921
75159
60851
51774
45557
42908
41233
37989
31912
26486
20818
16776
11005
12928
TOTAL 732201
JULY 1970
MALE
38692
45206
44974
36819
27969
2390 4
21134
19929
1 9569
18109
15405
12829
10048
7762
5091
5520
352960
JULY 1975
FEMALE
38325
44661
44947
38340
32882
27870
24423
22979
21664
19880
16507
13657
10770
9014
5914
7408
379241
AGE
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75*
TOTAL
77897
82155
92521
91439
77552
62083
53638
46598
42072
39333
35620
29107
23056
16934
12718
15633
MALE
39295
11278
16595
15690
37986
27624
24432
21559
19069
18265
16486
13543
10691
7738
5519
6509
TOTAL 798356 382282
FEMALE
38602
40877
45926
45749
39566
34459
29206
25039
230 03
21068
19134
15564
12362
9196
7199
9124
416074
AGE
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75+
JULY 1980
TOTAL MALE
85005
83582
85809
93038
91799
77775
63348
55347
46442
41719
38232
33591
26197
19468
13432
18813
12902
12162
43182
47236
16059
37295
27785
25502
21268
18563
17281
15008
11656
8539
5745
7365
TOTAL 873627 417551
FEMALE
42103
41420
42627
45802
45740
40480
35563
29845
25174
23156
20948
18583
14541
10929
7687
11478
456076
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
86018
91068
89269
88122
13139
45970
45076
11389
42579
15098
41193
44033
0-4
5-9
10-14
15-19
84898
92029
94543
92288
42880
46269
47756
46524
42018
45760
46787
45764
20-24
25-29
30-34
35-39
95056
87788
76978
63912
17504
4 3186
36324
28680
47552
44602
40654
35232
20-24
25-29
30-34
35-39
91986
94857
89829
77649
46867
46964
43536
36748
45119
47893
46293
40901
40-44
»5-49
50-54
55-59
51238
41886
39501
35689
24997
20756
17940
15986
29241
24130
21561
19703
40-44
45-49
50-54
55-59
62778
52637
42891
36783
27928
23866
19467
16116
34850
28771
23421
20667
60-64
65-69
70-74
75 +
31211
22162
15262
21628
13336
9465
6271
8349
17875
12997
8991
13279
60-64
65-69
70-74
75+
31553
24819
17668
23955
13706
10438
6978
9270
17847
14381
10690
14685
TOTAL
913388
451668
491720
TOTAL
1011163
485313
525850
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 26105
1975-1980 32565
1980-1985 33765
1985-1990 35339
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
75199
80536
80342
79833
DEATHS
1970-1975 35133
1975-1980 37830
1980-1985 44355
1985-1990 47362
31
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ALLEGANY COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1
6162
3151
3011
0-4
4131
2273
2158
0-4
1545
2331
2214
5-9
7242
3589
3653
5-9
5581
2855
2729
5-9
4267
2188
2079
10-11
7611
3902
3742
10-11
7121
3522
3599
10-11
5923
3016
2907
15-19
7580
3616
3964
15-19
7560
3766
3794
15-19
7522
3629
3893
20-24
5678
2489
3189
20-21
6381
2851
3533
20-21
6770
3181
3589
25-29
1681
2299
2382
25-29
1823
2118
2705
25-29
5832
2611
3221
30-31
1375
2100
2275
30-31
4665
2318
2347
30-34
5105
2287
2818
35-39
1265
2062
2203
35-39
4317
2075
2242
35-39
4879
2422
2457
40-11
5161
2422
2739
10-44
1177
20 26
2151
10-11
4493
2167
2326
I45-4Q
5365
2532
2833
45-49
1986
2336
?65n
45-19
4341
2100
2241
50-51
5303
2461
2842
50-51
5113
2386
2727
50-54
5071
2349
2722
55-59
1981
2319
2662
55-59
4990
2284
2706
55-59
5126
2358
2768
60-61
1342
1925
2117
60-61
4163
1980
2483
60-61
4756
2073
2683
65-69
3600
1574
2026
65-69
3721
1552
2169
65-69
4064
1695
2369
70-74
2717
1179
1568
70-71
2871
1153
1718
70-71
3161
1208
1953
75*
3611
1370
2211
75+
3801
1415
2386
75+
4245
1507
2738
TOTAL
82740
38990
13750
TOTAL
79007
36910
12097
TOTAL
80100
37122
42978
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1
1927
2527
2400
0-4
4763
2113
2320
5-9
4160
2287
2173
5-9
I860
2502
2378
10-14
1718
2406
2312
10-14
1952
2525
2127
15-19
6464
3190
3274
15-19
5321
2612
2709
20-24
6855
3102
3753
20-24
5863
2694
3169
25-29
6320
2985
3335
25-29
6162
2933
3529
30-31
6202
2818
3384
30-34
6742
3214
3528
35-39
5406
2435
2971
35-39
6541
2982
3559
10-44
5129
2518
2581
40-41
5696
2583
3113
45-19
4730
2276
2454
15-19
5394
2666
2728
50-51
4537
2166
2371
50-54
4956
2354
2602
55-59
5183
2368
2815
55-59
4720
2218
2502
60-61
4968
2177
2791
60-64
5066
2205
2861
65-69
4401
1804
2597
' 65-69
4626
1906
2720
70-74
3502
1339
2163
70-71
3816
1131
2382
75*
4796
1619
3177
75+
5403
1777
3626
TOTAL
82598
38047
14551
TOTAL
85201
39048
16153
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
-4125
999
2431
3151
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
5321
1890
5220
5022
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
1933
1793
5151
5571
33
28
HL
LL
601
0661-9861
9861-0861
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9961-0961
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69-99
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179
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81
61
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61
99
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23
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98
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62-32
82
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19
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62-32
01
69
601
12-02
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66
231
12-02
11
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16
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61
19
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61-31
19
21
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601
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61-31
01
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99
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91
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ANNE ARUNDEL COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY 1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
6-4
5-9
10-14
15-19
26387
32097
32966
28206
13611
16268
16859
15287
12776
15829
16107
12919
0-4
5-9
10-14
15-19
27740
31410
35573
36314
14207
16205
18073
19399
13533
15205
17500
16915
0-
5-
10-
15-
■4
■9
■14
■19
31298
33886
36127
40115
16030
17365
18640
21229
15268
16521
17487
18886
20-24
25-29
30-34
35-39
28198
23400
19928
18856
16867
12081
10130
9570
11331
11319
9798
9286
20-24
25-29
30-34
35-39
34712
27512
23235
21563
21056
14375
10490
10725
13656
13137
12745
10838
20-24
25-29
30-34
35-39
43680
34703
28259
25586
25583
18800
13248
11431
18097
15903
15011
14155
40-44
45-49
50-54
55-59
19225
18505
15224
11893
9865
9189
7680
6020
9360
9316
7544
5873
40-
45-
50-
55-
■44
• 49
•54
■59
19480
19588
18595
14890
9487
9717
9012
7249
9993
9871
9583
7641
40-
45"
50-
55-
■44
■49
■54
■59
22807
20553
20311
18626
10931
9718
9850
8753
11876
10835
10461
9873
60-64
65-69
70-74
75+
8950
6276
4406
5382
4455
2941
1903
2067
4495
3335
2503
3315
60-64
65-69
70-74
75*
11225
8015
5285
6579
5443
3770
2252
2445
5782
4245
3033
4134
60-64
65-69
70-74
75+
14401
10309
6902
8100
6742
4730
2966
2946
7659
5579
3936
5154
TOTAL 299899 154793
145106
TOTAL
341716
173905
167811
TOTAL 395663 198962
196701
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
. 5-9
10-14
15-19
35572
36806
37924
39944
18224
18861
19449
21424
17348
17945
18475
18520
0-4
5-9
10- % 4
15-19
38651
41643
41434
42340
19805
21342
21247
22544
18846
20301
20187
19796
20-24
25-29
30-34
35-39
46771
43030
34913
30120
27Q43
22990
17426
13975
19728
20040
17487
16145
20-24
25-29
30-34
35-39
47238
46741
43700
371H6
27565
24761
21821
18290
19673
21980
21879
18856
40-44
45-49
50-54
55-59
26382
23444
20885
19905
11439
10955
9678
9371
14 943
12489
11207
10534
40-
45-
50-
55-
■44
•49
■54
■59
31243
27314
24004
20785
14097
11613
11008
9369
17146
15701
12996
11416
60-64
65-69
70-7U
75*
17584
12932
8677
9997
7953
5725
3646
3628
9631
7207
5031
6369
60-64
65-69
70-74
75*
19039
15957
10998
12523
8629
6824
4465
4484
10410
9133
6533
8039
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-J975 28498
1975-1980 40310
1980-1965 33151
1985-1990 39786
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
23725
25748
30804
33403
TOTAL
4UM686 221787
223099
TOTAL 500756 247864
252892
DEATHS
1970-1975 104D6
1975-1980 12111
1980-1985 14730
1985-1990 17318
35
20SST 0661
-986 T
8T82£2
202122
02009*1
->vioi
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1*111 02
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6T2E
9206
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£ST9
££2*>
98E0T
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68££
£908
tll-01
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69-S9
6E19
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6ITSI
69-99
SH1V30
6£i6
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*l9-09
9868
OOSl
98*i9T
*i9-09
26£0£ 0661
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91S0T
9T06
26S6T
69-99
1616
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6S-S9
50512 9861
-086 1
£9021
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8S922
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21E0I
2+126
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*iS-OS
99222 0861
-S16T
119*1 1
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86992
6*1-9*1
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6*1-5*1
16*i02 £161
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9*1891
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98B82
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298*1 1
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£*i*112
6E-SE
9T66T
1626T
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*i£-0£
228ST
9629 1
8TTIE
*i£-0£
01S6E 0661
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9966T
2*i6T2
8061*1
62-S2
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£0102
1028E
62-S2
SS*i££ S861
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2908 T
691*12
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9£66£ 0861
-Si6t
9£262 S161
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190BT
20902
69S8E
6T-S1
ti+1891
60ti6T
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6T-SI
SStiBT
titi*i6T
6681E
tiT-OT
19891
£9111
029+i£
fct-OT
NOIiVaSIW
13N
8818T
*iOB6t
26S8E
6-9
9££9l
9221T
19SEE
6-9
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£S£8I
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d-0
9089T
99991
29*i2E
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31V W3d
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0661 ATfir
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18E61T
66S1S£
1V101
299 OS T
£22SST
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81*182 1
6EE9ET
118*192
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££9*i
9*93
8111
+91
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1*119
+91
0E62
001T
0£9ti
+91
sesc
£692
9129
+il-01
9892
9861
119H
+11-01
81T2
929T
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tll-01
SETS
S*i£*i
11*16
69-59
608£
Oi££
6111
69-S9
1682
9ES2
12*i9
69-S9
8801
0829
89££T
t|9-09
*]*i2S
0*16*1
+I8T0T
t|9-09
*iS6£
*iT6£
8981
*i9-09
9*iT6
1818
£££1T
69-99
6001
£899
269EI
6S-S9
1S2S
28ES
6E90T
6S-9S
1S96
1126
*|188T
*|S-0S
2T9B
8££8
0ST1I
*i9-0S
6*i89
2869
T£8£t
*iS-OS
8886
06T6
81061
6*1 -S*l
9£06
1868
22081
6»i-S*i
S8*i8
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6989 T
6*1 -S*i
8*|80T
2E20T
08012
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0106
£918
£1111
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29*18
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ti»i-0*i
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+|2*|0T
10ti£2
6£-S£
S286
1T16
2*iS61
6E-SE
£828
ST98
86191
6E-SE
S£1£T
101TT
2*i*)92
«i£-0£
6091T
TS£6
09602
*l£-0£
£618
0968
ES11T
*i£-0£
ltl2*ll
98291
1290£
62-92
268 TT
18*i2T
61£*i2
62-S2
hlTOT
999 OT
0E102
62-S2
U09T
0*i£22
TT*i8£
♦12-02
l£6U
9E28T
E110E
*i2-02
0666
ti99*lt
*iti9*i2
*i2-02
ET19T
2£88T
9+lSS£
61-ST
828»i T
8E69T
9911E
6T-SI
280 IT
88TET
012+12
61-ST
968ST
TS69t
I*i82£
tiT-OT
29*i9l
E*i09T
S6*il£
tit-Ol
£10*1 T
289tit
99182
<il-OT
I0OST
0289T
1280£
6-S
2*il£T
6891 T
l£*i82
6-S
S£8El
lEE+lt
21182
6-S
H09ET
8££*>T
2*i612
*i-0
186 TT
*>£92T
129*i2
*i-0
2*i2TI
2E02T
+112E2
fi-0
3"IVH3d
3~IVH
-ivioi
39V
3nvw3d
31VM
"IV 101
39V
3HVW33
31VH
tvioi
39V
086 T Ainr
S16T AW
.
016 T ATfir
NOUVTfldOd 31IHM 03133r0dd
A1ND0D T3QNnaV 3NNV
9e
ANNE ARUNDEL COUNTY
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
3113
1579
1534
0-4
3119
1573
1546
0-4
3356
1692
1664
5-9
3925
1931
1994
5-9
2979
1516
1463
5-9
3065
1545
1520
10-14
4211
2177
2034
10-14
4078
2030
2048
10-14
3280
1689
1591
15-19
3936
2099
1837
15-19
4548
2461
2087
15-19
4570
2397
2173
20-2H
3554
2213
1341
20-24
4539
2820
1719
20-24
5269
3243
2026
25-29
2670
1525
1145
25-29
3133
1888
1245
25-29
4176
2514
1662
30-34
2175
1170
1005
30-34
2275
1139
1136
30-34
2817
1541
1276
35-39
2058
1055
1003
35-39
2021
1008
1013
35-39
2185
1007
1178
40-44
1872
974
898
40-44
1707
724
983
40-44
1727
699
1028
45-49
1636
805
831
45-4 9
1566
730
836
45-49
1475
528
947
50-54
1393
698
695
50-54
1445
674
771
50-54
1437
633
804
55-59
1254
638
616
55-59
1198
566
632
55-59
1293
566
727
60-61*
1082
541
541
60-64
1041
503
538
60-64
1033
462
571
65-69
849
405
444
65-69
836
400
436
65-69
832
385
447
70-74
602
277
325
70-74
614
266
348
70-74
627
273
354
75+
752
367
385
75*
832
384
448
75+
922
401
521
TOTAL
35082
18454
16628
TOTAL
35931
18682
17249
TOTAL
38064
19575
18489
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
3110
1568
1542
0-4
2881
1452
1429
5-9
3245
1636
1609
5-9
3051
1538
1513
10-14
3304
1686
1618
10-14
3535
1803
1732
15-19
3691
2015
1676
15-19
3771
2042
1729
20-24
5206
3132
20 74
20-24
4407
2796
1611
25-29
4823
2887
1936
25-29
4833
2819
2014
30-34
3795
2130
1665
30-34
4487
2524
1963
35-39
2677
1384
1293
35-39
3668
1971
1697
40-44
1856
687
1169
40-44
2357
1057
1300
45-49
1470
497
973
45-49
1616
492
1124
50-54
1331
436
895
50-54
1346
413
933
55-59
1261
518
743
55-59
1193
353
840
60-64
1098
453
645
60-64
1090
419
671
65-69
813
345
468
65-69
883
343
540
70-74
614
257
357
70-74
612
232
380
75»
971
409
562
75*
1006
408
598
TOTAL
39265
20040
19225
TOTAL
40 736
20662
20074
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
-738
374
-304
276
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
3228
3482
3299
3011
DEATHS
1970-1975
1975-1980
1Q80-1985
1985-1990
1642
1724
1792
1816
37
*7££6£ 066X-9S6I
X80«i£ 9861-0861
99962 086I-9£6X
927/82 S£6X-0£6X
SH1V30
26*i8£ 066I-986X
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9tiS9£ 086X-9£6t
9990£ 9£6X-0£6t
02£20»7
99£99£ S0999£
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£2X£££
9602*7£ 2229I£
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smaia
991*79
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19922
9£S£
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30 SlN3N0dW6D
06122
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199(1
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6E99T
682»i£
9X182
£6£8£
209l*i
♦ 9£
1£-0£
69-99
f>9-09
£9291
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00X81
89122
£096
9*726
£0*7*71
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0£££2
8£222
£092£
6££I1
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1£-0£
69-99
*79-09
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99602
01992
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176091
6969 I
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*!9692
90I6£
£266£
16109
9X1£9
69-99
179-09
6*7-9*7
<j1-0*i
i£S22
6£002
2£96X
61912
66861
218£t
21E8I
1*7*7*72
9£*72*7
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69-99
*i9-09
6*7-9*7
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9££££
£19£2
9£92£
TT69£
628 1£
61X92
S6£99
9991£
90999
299£9
6C-SC
f7£-0£
62-92
*72-02
1*7*762
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X691E
0*720£
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£I60£
2662E
6£992
9E999
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£99£9
6£069
6E-9E
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62-92
*72-02
£19X2
£2912
29922
1££02
6T222
19622
990*72
909 T 2
998£»7
£8£11
8*769*7
0*792*7
6T-9T
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6-S
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9£992
6*7£02
*7*7*702
ti902
10*792
9T*7t2
00912
££9 1 2
££029
19^X1
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1022*7
6 1 -ST
11-01
6-9
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3-ivw3d
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2£29*7E
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2X9I££
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£2X1 0£ 91£129 IV 101
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92£22
92081
89992
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69-99
*j9-09
£992X
X998"
£61X1
£*7£*7t
X£S9
6*769
i£96
96££T
9E26X
0X9*>t
1£0X2
2*7982
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1£-0£
69-99
fi9-09
£0£0X
£9l£
6996
2£22X
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8**t9
81££
£89 IX
*79£9X
9 192 1
£X££t
698E2
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69-99
*79-09
OE0E2
£0X22
91I6X
0£b9X
06002
22202
9SSit
2UX8X
02XE*7
92E21
10£9£
2£U££
69-99
fi9-09
0*7-9*7
»?t7-0*7
2EE6X
922E2
9£8X2
26W8X
6B18I
29602
299 02
B1££l
X29££
902*7*7
£1*72*7
0199£
69-SS
<l9-09
6*7-9*7
*7*7-U*7
0£*lSX
£2861
B81£2
99022
*J6*3SI
*7696I
9*78X2
£0£I2
*7260£
X296E
*7££9*7
E6££*i
69-99
*>9-09
6*7-9*7
*7*7-0*7
966E2
0£992
90t70£
*789X£
ti*70*i2
b*76*7c:
069 £2
669 U£
6E08«i
t>19£9
866£9
£9929
6£-9£
14>U£
62-92
*72-02
XX88I
*il££2
26892
£9£92
99U9X
96*i£2
1I<22
£9692
££99£
0X2£*7
90X6*7
*72£*79
6E-SE
*7£-0E
62-92
*72-02
9£X6X
66881
8X922
£0*792
£808 X
2*78£I
£92X2
9£602
892££
X*7£9£
X8££*7
28£9*i
6E-9E
*7£-0£
62-92
♦72-02
££692
099 12
16E6X
£9 99 1
*i££62
99X92
t)6£02
90S6X
£0£8S
9*70X9
98£6£
6908E
6X-9X
11-01
6-9
fi-0
6£»7X£
£9692
699*72
966£X
99E2E
9£20£
£2992
X269X
929E9
2*1269
96£09
£X69£
6X-9X
tlX-OX
6-9
«7-0
XX982
00X2E
X£262
668E2
6EX82
029££
X890E
9EX92
09999
02£99
29869
*7£06»7
6X-9X
1X-OX
6-9 '
*7-0
3-1VW33
3"1VW
IV 101
39V
3nvw3d
31VW
IV 101
39V
3HVW3J
3TVH
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39V
086 x nnr
9£6i a nnr
0£6i Ainr
NOiiviridOd nvioi aaioaroad
AlNflOO 3H0HUTva
8C
BALTIMORE COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY 19fl0
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
47071
57526
63174
54452
24139
29387
32269
27009
22932
28139
30905
27443
0-4
5-9
10-14
15-19
34657
48356
56970
61377
17781
24787
29080
31087
16876
23569
27890
30290
0-4
5-9
10-14
15-19
35761
37428
49012
56481
18347
19206
25100
28564
17414
18222
23912
27917
20-24
25-29
30-34
35-39
44649
42068
35201
35808
20188
20485
17095
17408
24461
21583
18106
18400
20-24
25-29
30-34
35-39
52339
47328
45342
35267
24963
21445
22623
17275
27376
25883
22719
17992
20-24
25-29
30-34
35-39
60310
55937
51548
46075
29519
26604
24066
23114
30791
2033T
27482
22961
40-44
45-4Q
50-54
55-59
42097
44101
38459
30025
20687
21245
19177
15027
21410
22856
19282
14998
40-44
45-49
50-54
55-59
35215
41208
43065
36877
17083
19999
20439
18032
18132
21209
22626
18845
40-44
45-49
50-54
55-59
35422
35342
41180
42082
17312
16916
19684
19601
18110
18426
21496
22481
60-64
65-69
70-74
75+
23134
16733
12208
15829
11225
7470
4956
5415
11909
9263
7252
10414
60-64
65-69
70-74
75+
27811
20524
14167
18606
13428
9307
5753
6292
14383
11217
8414
12314
60-64
65-69
70-74
75+
34751
25100
17600
21997
16402
11354
7289
7397
18349
13746
10311
14600
TOTAL
602535
293182
309353
TOTAL
619109
299374
319735
TOTAL
646026
310475
335551
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
39946
39490
39361
49991
20494
20263
20174
25329
19452
19227
19187
24662
0-4
5-9
10-14
15-19
40314
44482
42238
41411
20683
22823
21649
20951
19631
21659
20589
20460
20-24
25-29
30-34
35-39
56967
65286
61422
53418
27755
31798
29799
25131
29212
33488
31623
28287
20-24
25-29
30-34
35-39
51685
63317
71988
64315
25110
30705
35568
31324
26575
32612
36420
32991
40-44
45-49
50-54
55-59
46996
36446
36565
41368
23498
17570
17239
19401
23498
18876
19326
21967
40-44
45-49
50-54
55-59
55231
48525
38391
37860
25969
23950
18222
17529
29262
24575
20169
20331
60-64
65-69
70-7U
75+
40486
31874
21829
26976
18217
14119
9039
9178
22269
17755
12790
17798
60-64
65-69
70-74
75+
40664
37659
27905
33422
18419
15922
11339
11442
22245
21737
16566
21980
TOTAL
688421
329004
359417
TOTAL
739407
351605
387802
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 7730
1975-1980 22098
1980-1985 38366
1985-1990 52508
BIRTHS
1970-1975 35866
1975-1980 33235
1980-1985 36755
1985-1990 36372
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
27024
2841R
32724
37895
39
TOTAL
CALVERT COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
O-i*
5-9
JO-14
15-19
2212
2452
2I*7U
2024
1100
1300
1286
1023
1112
1152
1188
1001
O-i*
5-9
10-14
15-19
2388
2627
2967
2695
1213
1323
1572
1401
1175
1304
1395
1294
0-4
5-9
10-14
15-19
2280
2410
2698
2786
1158
1236
1360
1479
1122
1174
1338
1307
20-2U
25-29
30-31*
35-39
1273
1285
1126
993
571
64 5
579
1*87
702
6i»0
5U7
506
20-24
25-29
30-34
35-39
1968
1472
1608
1344
945
660
816
692
1023
812
792
652
20-24
25-29
30-34
35-39
2345
1944
1559
1626
1183
932
713
827
1162
1012
846
799
i»0-i»i*
1*5-1*9
50-51*
55-59
1063
1066
1030
993
535
521
500
185
528
5U5
530
508
40-44
45-49
50-54
55-59
1237
1266
1312
1277
620
630
633
605
617
636
679
672
40-44
45-49
50-54
55-59
1401
1248
1310
1354
730
619
642
637
671
629
668
717
60-64
65-69
70-74
75+
887
71*7
326
620
1*1*6
360
252
275
i*i»1
387
271*
345
60-64
65-69
70-74
75+
11 80
1003
764
857
562
482
350
374
618
521
414
483
60-64
65-69
70-74
75+
1265
1108
861
1037
583
503
391
437
682
605
470
600
20771
10365
10406
TOTAL
25965
12878
13087
TOTAL
27232
13430
13802
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
0-4
5-9
10-14
15-19
2444
2309
2490
2525
1242
1185
1277
1270
1202
1121
1213
1255
0-4
5-9
10-14
15-19
2491
2513
2431
2360
1267
1290
1248
1210
20-24
25-29
30-34
35-39
2442
2324
2030
1582
1263
1171
983
726
1179
1153
1047
856
20-24
25-29
30-34
35-39
2225
2459
2441
2071
1079
1269
1235
1003
40-44
45-49
50-54
55-59
1681
1409
1297
1355
863
726
634
647
818
683
663
708
40-44
45-49
50-54
55-59
1666
1709
1477
1368
780
869
749
653
60-64
65-69
70-74
75+
1340
1188
950
1213
613
524
407
498
727
664
543
715
60-64
65-69
70-74
75+
1361
1274
1034
1401
632
558
430
548
TOTAL
28579
14029
14550
TOTAL
30281
FEMALE
1224
1223
1183
1150
1146
1190
1206
1068
886
840
728
715
729
716
604
853
154 61
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975*1980
1980-1985
1985-1990
4116
261
316
818
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
2108
2387
2554
2560
DEATHS
1970-1975 1029
1975-1980 1379
1980-1985 1532
1985-1990 1669
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CALVERT COUNTY
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
1048
496
552
0-
■4
886
442
444
0-
■4
857
428
429
5-9
1144
598
546
5-
■9
1120
541
579
5"
■9
793
402
391
10-14
1169
588
581
10-
■14
1313
677
636
10-
■14
1091
518
573
15-19
978
489
4B9
15-
■19
1231
614
617
15-
■19
1190
611
579
20-24
519
223
296
20-24
868
412
456
2n-
-24
988
473
515
25-29
422
209
213
25-
-29
485
203
282
25-
-29
757
358
399
30-34
371
182
189
30-
■34
469
234
235
30-34
463
194
269
35-39
334
145
189
35-
■39
405
196
209
35-
-39
441
218
223
40-44
344
168
176
40-
■44
38(1
171
209
40-
-44
392
194
198
45-49
312
160
152
45-
■49
378
190
188
^5-
■49
356
164
192
50-54
275
139
136
50-
•54
336
169
167
50-
■54
348
171
177
55-59
268
142
126
55-
■59
317
156
161
55-59
325
159
166
60-64
189
101
88
60-
■64
270
142
128
60-
•64
273
132
141
65-69
157
75
82
65-
■69
190
92
98
65-
•69
229
110
119
70-74
111
56
55
70-74
146
70
76
70-
■74
150
72
78
75+
154
72
82
75+
200
95
105
75+
221
103
118
TOTAL
7795
3843
3952
TOTAL
8994
4404
4590
TOTAL
8874
4307
4567
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
828
768
769
972
413
390
381
454
<»15
378
388
518
0-4
5-9
10-J4
15-19
727
751
755
668
362
382
375
326
365
369
380
342
20-24
25-29
30-34
35-39
950
879
732
437
471
420
346
179
479
459
386
258
20-24
25-29
30-34
35-39
751
855
864
707
325
424
412
330
426
431
452
377
40-44
45-49
50-54
55-59
*28
367
330
337
215
186
148
161
213
181
182
176
40-44
45-49
50-51*
55-59
431
408
345
327
182
210
171
144
249
198
174
183
60-64
65-69
70-74
75*
281
232
179
239
134
103
85
110
1*7
129
94
129
60-64
65-69
70-74
75*
297
243
186
275
139
107
81
124
158
136
105
151
TOTAL
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
674
-698
-679
-522
BIRTHS
8728
4196
4532
TOTAL
B590
4094
4496
1970-1975 853
1975-1980 1005
1980-1985 975
1985-1990 859
OEATHS
1970-1975 327
1975-1980 127
1980-1985 "♦19
1985-1990 466
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CAROLINE COUNTY
PROJECTED WHITE POPULATION
JULY 1070
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
1137
583
554
0-4
955
490
465
fi-4
982
504
478
5-9
1427
729
698
5-9
1150
593
557
5-9
975
500
475
10-14
1604
812
792
10-14
1560
806
754
10-14
1296
677
619
15-10
1373
691
682
15-19
1602
816
786
15-19
1569
816
753
20-21)
942
439
503
20-24
1177
572
60 5
20-24
1413
700
713
25-29
899
434
465
25-29
875
390
485
25-29
1116
5?5
591
30-34
786
42 8
358
30-34
958
48?
176
30-34
041
442
499
35-39
840
402
438
35-39
844
158
386
35-39
1021
515
506
40-44
923
448
475
40-44
886
419
167
40-44
898
478
4?0
45-19
04 0
444
496
45-49
972
166
506
45-49
943
441
502
50-51
947
474
473
50-54
948
456
492
50-54
985
481
504
55-59
905
455
450
55-50
947
457
490
55-59
956
444
512
60-64
858
tji
447
60-64
916
452
464
60t64
963
458
505
65-69
73?
316
416
65-69
822
372
450
65-69
878
409
469
70-74
624
279
345
70-74
646
264
382
70-74
723
308
415
75+
832
364
468
75+
895
382
513
75 +
958
387
571
TOTAL
15769
7709
8060
TOTAL
16153
7875
8278
TOTAL
16617
8085
8532
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
1041
1003
1121
1307
534
515
584
689
507
488
537
618
0-4
5-9
10-14
15-19
1072
1135
1231
1228
550
582
641
646
522
553
590
582
20-24
25-29
30-34
35-39
1383
1353
1183
1006
702
654
577
475
681
699
606
531
20-24
25-29
30-34
35-39
1224
1422
1504
1317
626
703
746
643
598
719
758
674
40-44
45-49
50-54
55-59
1075
956
958
993
535
499
457
468
540
157
501
525
40-44
45-49
50-54
55-59
1139
1198
1039
1042
535
591
546
481
604
607
493
561
60-64
65-69
70-74
75 +
974
923
769
1051
447
414
337
419
527
509
432
632
60-64
65-69
70-74
75+
1077
1000
864
1212
500
435
366
486
577
565
498
726
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
366
490
514
1751
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
1078
1035
1098
1053
DEATHS
TOTAL
17006
8306
8790
TOTAL
18704
9077
9627
1970-1975
1975-1980
1980-1985
1985-1990
1059
1062
1131
1195
892
192
093
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962
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CARROLL COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
A6E
TOTAL
MALE
FEMALE
AGE
TOTAL
MALF
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
5658
6631
6877
6029
2856
3345
3490
3038
2802
3286
3387
2991
0-4
5-9
10-14
. 15-19
5794
660n
7889
7847
2968
3334
3962
3953
2826
3266
3927
3894
0-4
5-9
10-14
15-19
6007
644 5
7478
8481
30 77
3301
3760
4234
2930
3144
3718
4247
20-24
25-29
30-34
35-39
5084
4759
4427
4059
2462
2345
2217
2087
2622
2414
2210
197?
20-24
25-29
30-34
35-39
6505
5680
5640
5200
3222
2745
2823
2631
3283
2935
2817
2569
20-24
25-29
30-34
35-39
8004
6823
6288
6157
3978
3369
3087
3107
4026
3454
3201
3050
40-44
45-49
50-54
55-59
4339
4265
3745
3454
214B
2144
1819
1708
2191
2121
1926
1746
40-44
45-49
50-54
55-59
4748
4947
i»569
3986
2448
2478
2265
1906
2300
2469
2304
2080
40-44
45-49
50-54
55-59
5648
5108
5009
4574
2866
2650
2474
2228
2782
2458
2535
2346
60-64
65-69
70-74
75+
2935
2496
1938
2715
1403
1120
876
i095
J 532
1376
1062
1620
60-64
65-69
70r74
75+
3525
2815
2234
3039
1673
1292
950
1227
1852
1523
12B4
1812
60-64
65-69
70-74
75+
3848
3201
2386
3305
1768
1456
1035
1287
2080
1745
1351
2018
TOTAL
69411
34153
35258
TOTAL
81018
39877
41141
TOTAL
88762
43677
45085
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
6917
6668
7335
8086
3544
3415
3733
4041
3373
3253
3602
4045
0-4
5-9
10-14
15-19
7398
7631
7624
8016
3791
3909
3881
4050
3607
3722
3743
3966
20-24
25-29
30-34
35-39
8647
8324
7436
6812
4263
4123
3711
3373
4384
4201
3725
3439
20-24
25-29
30-34
35-39
8332
9038
8994
8008
4109
4443
4492
4020
4223
4595
4502
3988
40-44
45-49
50-54
55-59
6602
5997
5170
4999
3338
3060
2643
2425
3264
2937
2527
2574
40-44
45-49
50-54
55-59
7305
6980
6071
5191
3628
3544
3054
2603
3677
3436
3017
2588
60-64
65-69
70-74
75+
4395
3492
2709
3573
2058
1536
1162
1377
2337
1956
1547
2196
60-64
65-69
70-74
75+
4823
4001
2979
3993
2250
1791
1234
1520
2573
2210
1745
2473
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 10160
1975-1980 6400
1980-1985 6524
1985-1990 7350
BIRTHS
1970-1975
J975-1980
1980- J 985
1985-1990
5126
5420
6359
6805
TOTAL
97162
47802
49360
TOTAL 106384
52319
54065
DEATHS
1970-1975 3681
1975-1980 4075
1980-1985 4484
1985-1990 4929
47
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CARROLL COUNTY. .
PROJECTED NONWHITE POPULATION
JULY 1970
•
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-i*
210
ioi
109
0-
■4
173
87
_B6
6-
4
171
86
85
5-9
286
136
150
5-
•9
217
106
111
5-
•9
175
88
87
10-14
268
132
136
io-
•14
298
140
158
10-
■14
215
103
112
15-19
222
116
106
15-
■19
283
142
141
15-
■19
300
143
157
20-21*
206
119
87
20-
■24
241
138
103
20-
•24
291
158
133
25-?9
242
134
108
25-
■29
242
154
88
25-29
265
165
100
30-31*
255
149
106
30-
•34
300
180
120
30-
■34
286
192
94
35-39
201
109
92
35-
■39
300
175
125
35-
■39
330
197
133
1*0-1*1*
174
104
70
40-
■44
211
121
90
40-
■44
297
179
118
45-1*9
168
89
79
45-49
194
115
79
45-49
221
126
95
50-54
145
69
76
50-
•54
176
87
89
50-
■54
192
107
85
55-59
128
66
62
55-
■59
153
67
86
55-
•59
174
79
95
60-64
108
63
45
60-
-64
129
65
64
60-
•64
145
62
83
65-69
109
53
56
65-
■69
97
49
48
65-
■69
110
48
62
70-74
83
39
44
70-
-74
91
42
49
70-
•74
76
36
40
75+
88
32
56
75+
124
43
81
75+
148
50
98
TOTAL
2893
1511
1382
TOTAL
3229
1711
1518
TOTAL
3396
1819
1577
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
151
173
173
217
76
87
85
107
75
86
88
iio
0-4
5-9
10-14
15-19
129
153
173
178
65
77
85
90
64
76
88
88
20-24
25-29
30-34
35-39
307
314
310
317
159
184
2P3
209
148
130
107
108
20-24
25-29
30-34
35-39
229
333
360
341
125
187
223
221
104
146
137
120
40-44
45-49
50-54
55-59
326
302
217
188
200
180
117
96
126
122
100
92
40-44
45-49
50-54
55-59
315
331
294
212
212
201
.167
106
}03
130
127
106
60-64
65-69
70-74
75+
164
123
88
151
73
45
36
49
91
78
.52
102
60-64
65-69
70-74
75 +
177
141
99
163
88
55
34
49
89
86
65
114
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
DEATHS
TOTAL
3521
1O06
1615
TOTAL
3628
1985
1643
1970-1975
1975-1980
1980-1985
1985-1990
341
197
197
228
198
183
162
139
204
214
235
256
49
9162
£192
20C2
£922
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£28
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£022
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19-09
615 T
195 f
£88T
£602
2801
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9621
££2f
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6S-S3
15-05
61-51
11-01
281 T
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£25 1
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06£T
1082
1992
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6502
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5091
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£121
£882
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251 1
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£98 T
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£91 T
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6£8T
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£80£
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6£-S£
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62 -S2
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91 T£
1j092
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£T1i£
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8£81
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S£62
2992
£912
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0282
2T92
6£22
00T9
281S
6£0S
9111
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fit-OT
6-5
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£992
1992
2££2
9£l2
1£T£
26 £2
S982
S£92
££8S
9S1S
£6SS
TTTS
6T-ST
11-OT
6-S
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3"IVW3d
31VH
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Ainr
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3~1VH
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NonvnndOd nvioi a3i33roud
A1NOO0 TI33D
OS
CECIL COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1*
5-9
10-14
15-19
4803
5268
5102
5511
2483
2690
2621
3008
2320
2578
2481
2503
0-4
5-9
10-14
15-19
4183
4805
5171
5715
2146
2474
2655
2970
2037
2331
2516
2745
0-4
5-9
10-14
15-19
4800
4587
5109
6189
2463
2353
2644
3209
2337
2234
2465
2980
20-21*
25-29
30-34
35-39
4850
3562
2899
2757
2805
1776
1508
1379
2045
1786
1391
1378
20-24
25-29
30-34
35-39
6634
3408
3254
2737
3992
1498
1528
1376
2642
1910
1726
1361
20-24
25-29
30-34
35-39
7230
5359
3368
3282
4166
2717
1383
1485
3064
264?
1985
1797
40-44
i*5-i»9
50-5U
55-59
2836
2864
2378
2083
1490
1435
1225
1050
1346
1429
1153
1033
40-44
45-49
50-54
55-59
2543
2640
2738
2259
1192
1325
1340
1108
1351
1315
1398
1151
40-44
4^-49
50-54
55-59
2707
2558
2733
2774
1270
1138
1338
1300
1437
1420
1395
1474
60-61*
65-69
70-74
75+
1668
1266
1046
1386
806
599
514
601
862
667
532
785
60-6*
65-69
70-74
75+
J 969
1497
1050
1528
943
692
465
652
1026
805
585
876
60-64
65-69
70-74
75+
2286
1877
1322
1732
1068
859
572
695
1218
1018
750
1037
TOTAL
50279
25990
24289
TOTAL
52131
26356
25775
TOTAL
57913
28660
29253
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5272
2705
2567
0-4
5411
2776
2635
5-9
5054
2592
2462
5-9
5553
2848
2705
10-14
4724
2437
2287
10-14
5214
2688
2526
15-19
5938
3103
2835
15-19
5586
2913
2673
20-24
7511
4308
3203
20-24
7298
4221
3077
25-29
5796
2817
2979
25-29
6107
2972
3135
30-34
5216
2563
2653
30-34
5676
2674
3002
35-39
3299
1302
1997
35-39
5145
2474
2671
40-44
3164
1342
1822
40-44
3200
1169
2031
45-49
2638
1180
1458
45-49
3102
1256
1846
50-54
2567
1116
1451
50-54
2661
1163
1498
55-59
2679
1256
1423
55-59
2544
1057
1487
60-64
2691
1205
1486
60-64
2618
1172
1446
65-69
2097
935
1162
65-69
2468
1054
1414
70-74
1594
681
913
70-74
1788
743
1045
75+
1993
766
1227
75+
2352
879
1473
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
-398
3522
1726
2048
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
4338
4384
5051
5170
TOTAL
62233
30308
31925
TOTAL
66723
32059
34664
DEATHS
1970-1975 2086
1975-1980 2126
1980-1985 2457
1985-1990 2729
51
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98 1
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192
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CHARLES COUNTY
PROJECTED TOTAL POPULATION
JUL* 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
6-4
5-9
10-14
15-19
5624
6524
5990
4338
2848
3312
3076
2180
2776
3212
2914
2208
0-4
5-9
10-14
15-19
5598
6988
7802
6616
2857
' 3545
3979
3388
2741
3443
3823
3228
0-4
5-9
10-14
15-19
5120
5741
6901
7293
2614
2934
3516
3715
2506
2807
3385
3578
20-24
25-29
30-34
35-39
3070
3937
3298
2888
1423
1875
1747
1513
1647
20 62
1551
1375
20-24
25-29
30-34
35-39
4670
3889
4842
4007
2341
1658
2340
2138
2329
2231
2502
1869
20-24.
25-29
30-34
35-39
6140
4824
3968
4872
3192
2297
1735
2373
2948
2527
2233
2499
40-44
45-49
50-54
55-59
2595
2341
2004
1663
1367
1179
1008
866
1228
1162
996
797
40-44
45-49
50-54
55-59
3365
2980
2606
2191
1743
1545
1298
1084
1622
1435
1308
1107
40-44
45-49
50-54
55-59
3900
3222
2769
2377
2068
1647
1424
1163
1832
1575
1345
1214
60-64
65-69
70-74
75*
1293
967
643
762
682
477
317
305
611
490
326
457
60-64
65-69
70-74
75+
1727
1306
875
990
881
652
418
395
846
654
457
595
60-64
65-69
70-74
75+
1915
1459
998
1107
922
703
478
435
993
756
520
672
TOTAL
47987
24175
23812
TOTAL
60452
30262
30190
TOTAL
62606
31216
31390
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
6405
5816
6323
7090
3272
2973
3246
3606
3133
2843
3077
3484
0-4
5-9
10-14
15-19
6495
6757
6025
6097
3321
3456
3093
3127
3174
3301
2932
2970
20-24
25-29
30-34
35-39
7362
6718
5254
4469
3786
3338
2517
1998
3576
3380
2737
2471
20-24
25-29
30-34
35-39
6747
7548
6834
5483
3476
3740
3407
2657
3271
3808
3427
2826
40-44
45-49
50-54
55-59
5114
4047
3268
2757
2488
2117
1658
1392
2626
1930
1610
1365
40-44
45-49
50-54
55-59
4417
5000
3870
3069
1975
2400
2009
1527
2442
2600
1861
1542
60-64
65-69
70-74
75+
2265
1763
1219
1366
1077
803
563
536
1188
960
656
830
60-64
65-69
70-74
75+
2477
1967
1404
1595
1216
884
607
614
1261
1083
797
981
TOTAL
71236
35370
35866
TOTAL
75785
37509
38276
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
9329
-874
4964
798
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
4824
5131
5962
6470
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
1685
2101
2292
2721
53
6961
£191
6£*7T
£011
066I-586T
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298
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CHARLES COUNTY
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
6-4
5-9
10-14
15-19
1796
2191
2078
1631
890
1116
1058
824
906
1075
1020
807
0-4
.5-9
10-14
15-19
J316
1901
2486
2194
662
-951
1266
1097
654
_950
1220
1097
0-
_5-
10-
15-
■4
■9
■14
•19
1212
1105
1756
2218
6io
558
877
1113
602
547
879
1105
20-24
25-29
30-34
35-39
911
822
704
649
431
414
338
332
480
408
366
317
20-24
25-29
30-34
35-39
1489
864
899
789
745
402
447
393
744
462
452
396
20-24
25-29
30-34
35-39
1791
1289
785
844
887
644
358
433
904
645
427
411
40-44
45-49
50-54
55-59
633
586
479
397
313
295
237
205
320
291
242
192
40-44
45-49
50-54
55-59
7?i
708
620
482
363
346
316
233
358
362
304
249
40-44
45-49
50-54
55-59
731
668
626
525
359
333
308
262
372
335
318
263
60-64
65-69
70-74
75+
296
245
155
189
159
115
89
77
i37
130
66
112
60-64
65-69
70-74
75*
385
296
207
244
189
149
99
103
196
147
108
141
60-64
65-69
70-74
75+
394
319
209
269
180
146
107
105
214
173
102
164
TOTAL
13762
6893
6869
TOTAL
15601
7761
7840
TOTAL
14741
7280
7461
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
'5-9
10-14
15-19
1219
1108
1135
1709
613
560
572
836
606
548
563
873
0-4
.5-9
10-14
15-19
. 957
1049
1071
987
481
530
540
482
476
519
531
505
20-24
25-29
30-34
35-39
J 985
1706
1272
813
986
841
625
387
999
865
647
426
20-24
25-29
30-34
35-39
1364
1798
J609
1245
656
890
782
626
706
908
827
619
40-44
45-49
50-54
55-59
854
743
619
583
431
362
326
281
423
381
323
302
40-44
45-49
50-54
55-59
774
816
680
569
362
408
332
280
412
408
348
289
60-64
65-69
70-74
75 +
468
357
248
310
221
153
116
121
247
204
132
189
60-64
65-69
70-74
75 +
492
398
265
346
224
177
114
129
268
221
151
217
TOT4'
15)59
7431
7726
TOTAL
14420
7013
7407
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
995
-1659
T?53
-1151
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
1425
1461
1352
1162
DEATHS
1970-1975
1975-1980
J980-1985
1985-1990
578
662
679
752
55
1122
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DORCHESTER COUNTY .
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-
4
1323
720
603
0-
4
889
457
432
0-
4
893
459
434
5-9
1591
819
772
5-
9
1301
705
596
5-
9
907
467
440
10-
14
1709
861
848
10-
14
1657
858
799
10-
•14
1413
767
646
15-
■19
1494
727
767
15-
19
1684
843
841
15-
19
1679
863
816
20-
■24
1191
566
625
20-
■24
1279
600
679
20-
■24
1502
731
771
25-
■29
1205
573
632
25-
•29
1167
567
600
25-
■29
1288
617
671
30-
• 34
1027
497
530
30-
■34
1251
598
653
30-
•34
1249
610
630
35-
•39
1125
552
573
35-
•39
1087
537
550
35-
■39
1341
653
688
40-
.44
1270
607
663
40-
■44
1151
555
596
40-
-44
1145
556
589
45-
■49
1370
648
722
45-
• 49
1286
615
671
45-49
1204
581
623
50-
•54
1363
668
695
50-54
1365
641
724
50-
-54
1321
627
694
55-59
1256
603
653
55-
-59
1327
631
696
55-
-59
1367
623
744
60-64
1159
537
622
60-
-64
1211
560
651
60-
-64
1309
599
710
65-69
1060
485
575
65-
-69
1063
473
590
65-
-69
1138
504
634
70.
-74
867
379
488
70.
.74
909
394
515
70-74
938
396
542
75*
1238
480
758
75+
1284
477
807
75+
1380
502
878
TOTAL
20248
9722
10526
TOTAL
19911
9511
10400
TOTAL
20074
9555
10519
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
1080
937
1059
1481
555
483
551
796
525
454
508
685
0-4
5-9
10-14
15-19
1022
1140
1108
1158
525
587
577
597
497
553
531
561
20-24
25-29
30-34
35-39
1539
1545
1401
1376
771
764
675
683
768
781
726
693
20-24
25-29
30-34
35-39
1372
1611
1686
1554
720
818
835
760
652
793
851
794
40-44
45-49
50-54
55-59
1428
1231
1278
1361
685
598
612
627
743
633
666
734
40-
45-
50-
55-
■44
• 49
•54
■59
1487
1531
1328
1346
726
735
639
624
761
796
689
722
60-64
65-69
70-74
75 +
1384
1256
1025
1493
609
551
430
529
775
705
595
964
60-64
65-69
70-74
75+
1405
1348
1143
1652
624
570
474
577
781
778
669
1075
TOTAL
20874
9919
10955
TOTAL
21891
10388
11503
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
145
671
1207
1602
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
1068
941
1118
1042
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
1550
1450
1525
1627
57
0S9
229
869
2*»9
891
018
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FREDERICK COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
io-m
15-19
7359
8506
87<*0
8238
3753
U320
4503
U182
3606
<»186
1*237
1056
0-1
5-9
10-11
15-19
6711
7952
9631
9918
3136
1011
1915
5132
3275
3911
1719
1816
0-1
.5-9
10-11
15-19
6611
6879
. 8191
10211
3385
3521
1336
5235
3226
3358
4155
5006
20-21*
25-29
30-31
35-39
7007
5871
1*982
U922
3391
2889
2516
2418
3616
2982
2166
25(11
20-21
25-29
30-31
35-39
8977
7118
6212
5565
1538
3139
3082
2777
1139
370 9
3130
2788
20-21
25-29
30-31
35-39
10153
8671
7122
6156
5224
1367
3457
3176
4929
4304
3665
3280
40-41
15-19
50-54
55-59
5216
5085
<» <*17
3930
2551
2509
2205
19"»5
2665
2576
2212
1985
10-11
15-19
50-51
55-59
5192
5631
5302
1515
2681
2716
2592
2215
2808
2888
2710
2300
10-11
15-19
50-51
55-59
5797
5567
5510
5083
2877
2713
2663
2412
29?0
2854
2847
2641
60-64
65-69
70-7U
75+
3"»03
2611
2050
2874
1645
1120
835
1124
1758
1191
1215
1750
60-61
65-69
70-71
75+
3901
3163
2293
3238
1863
1132
898
1181
2038
1731
1395
2057
60-61*
65-69
70-71
75+
1202
3112
2601
3431
1989
1526
1083
1185
2213
1886
1518
2246
TOTAL
85211
11906
43305
TOTAL
95685
46971
48714
TOTAL 100227
49179
51048
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
7370
6931
7609
9327
3771
3547
3913
4774
3596
3384
3696
4553
0-
5-
10-
15-
■4
•9
■14
•19
7511
7727
7702
8499
3817
3955
3961
1379
3661
3772
3711
1120
20-24
25-29
30-34
35-39
10659
10027
8789
7498
5433
5140
4150
3614
5226
4887
4339
3881
20-24
25-29
30-34
35-39
9806
10586
10185
919n
5003
5375
5211
4615
4803
5211
4911
1575
10-11
45-49
50-54
55-59
6803
5985
5568
5393
3332
2958
2689
2561
3471
3027
2879
2832
40-44
45-49
50-54
55-59
7870
7004
6003
5479
37$1
3418
2910
2602
1089
3586
3063
2877
60-64
65-69
70-74
75+
4821
3754
2869
3841
2235
1666
1180
1338
2586
2088
1689
2503
60-64
65-69
70-74
75+
5133
4323
3167
429?
2351
1881
1292
1189
2779
2112
1875
2803
TOTAL
107241
52604
54640
TOTAL
114177
56133
58314
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
8131
2613
1814
5375
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
6633
6379
7030
7149
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
4290
4483
4819
5295
59
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FREDERICK COUNTY.
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-
.4
646
299
347
0-4
496
248
248
li-
•4
488
244
244
5-9
767
373
394
5-
■9
664
304
360
5-9
474
238
236
10-
■14
737
355
382
10-14
830
398
432
10-
■14
675
304
371
15-
■19
720
387
333
15-
■19
809
417
392
15-
-19
854
435
419
20-
•24
480
241
239
20-24
713
398
315
20-
■24
762
406
356
25-
■29
365
147
218
25-29
448
209
239
25-
■29
652
352
30(1
30-34
320
159
161
30-
-34
377
154
223
30-
-34
438
208
230
35-39
293
134
159
35-
■39
334
163
171
35-
-39
370
149
221
40-
■ 44
334
148
186
40-
■44
300
128
172
40-
-44
321
148
173
45-49
266
134
132
45-49
329
145
184
4S-
-49
277
118
159
50-
•54
245
136
109
50-
■54
266
136
130
50-
■54
309
138
171
55-
•59
210
109
101
55-
-59
233
123
110
55-
■59
238
115
123
60-
64
227
102
125
60-
■64
216
101
115
60-
■64
222
106
116
65-69
171
81
90
65-69
204
90
114
65-
■69
161
83
98
70-
•74
122
48
74
70-74
138
56
82
70-
■74
155
59
96
75*
149
60
69
75+
175
81
94
75+
192
84
108
TOTAL
6052
2933
3119
TOTAL
6532
3151
3381
TOTAL
6608
3187
3421
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
.5-9
10-14
15-19
476
477
502
719
238
239
245
352
238
238
257
367
0-4
5-9
JO-14
15-19
419
467
507
550
209
234
248
295
210
233
259
255
20-24
25-29
30-34
35-39
820
714
647
437
431
367
352
204
389
347
295
233
20-24
25-29
30-34
35-39
691
775
712
643
351
393
368
344
340
382
344
299
40-44
45-49
50-54
55-59
364
303
268
283
138
139
116
119
226
164
152
164
40-44
45-49
50-54
55-59
431
348
294
248
192
131
137
101
239
217
157
147
60-64
65-69
7D-74
75+
233
191
142
220
102
89
56
89
131
102
86
131
60-64
65-69
70-74
75+
275
202
149
228
106
87
60
90
169
115
89
138
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
TOTAL
6796
3276
3520
TOTAL
6939
3346
3593
1970-1975
1975-1980
1980-1985
1985-1990
264
-115
30
63
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
551
541
519
460
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
333
348
361
380
61
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1381
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61-91
1)1-01
6-9
1)-0
9111
1D31
9201
D06
£££1
03£1
6D01
9D6
6092
1993
D102
2S81
61-91
1)1-01
6-9
D-0
I D6
1211
6101
096
l£Ol
0£31
6311
£86
3161
1S£3
9033
ED61
61-91
Dl-01
6-9
D-0
3HVW33
31VW
0961
nvioi
39V
31VW3J
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39V
31VW33
3TVW
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A1NP.0D 113ddV9
£9
GARRETT COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
1938
981
957
0-4
1850
947
903
0-4
1777
910
867
5-9
2205
1128
1077
5-9
2069
1047
1022
5-9
1819
932
887
10-14
2353
1226
1127
10-14
2565
1319
1246
10-14
2212
1126
1086
15-19
1934
994
94 0
15-19
2464
1288
1176
15-19
2466
1271
1195
20-24
1207
550
657
20-24
1547
746
801
20-24
1943
974
969
25-29
1241
602
639
25-29
1108
470
638
25-29
1352
625
727
30-34
1196
598
598
30-34
1441
709
732
30-34
1187
518
669
35-39
1131
535
596
35-39
1362
673
689
35-39
1490
726
764
40-44
1216
572
644
40-44
1303
622
681
40-44
1424
707
717
45-49
1253
594
659
45-49
1364
645
719
45-49
1334
639
695
50-54
1181
608
573
50-54
1359
648
711
50-54
1351
641
710
55-59
1142
555
587
55-59
1287
642
645
55-59
1350
625
725
60-64
944
•»71
473
60-64
1183
566
617
60-64
1217
596
621
65-69
821
408
413
65-69
971
474
497
65-69
1102
512
590
70-74
635
305
330
70-74
766
375
391
70-74
826
393
433
75*
1034
426
608
75+
1175
475
700
75+
1262
507
755
TOTAL
21431
10553
10878
TOTAL
23814
11646
12168
TOTAL
24112
11702
12410
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
1865
955
910
0-4
1744
893
851
5-9
1726
884
842
5-9
1824
935
889
10-14
1938
999
939
10-14
1856
957
899
15-19
2086
1064
1022
15-19
1824
943
881
20-24
1971
970
1001
20-24
1614
776
838
25-29
1729
843
886
25-29
1719
820
899
30-34
1415
665
750
30-34
1800
887
913
35-39
1220
527
693
35-39
1457
678
779
40-44
1533
751
782
40-44
1277
560
717
45-49
1435
713
722
45-49
1552
760
792
50-54
1306
628
678
50-54
1413
704
709
55-59
i
1326
611
715
55-59
1291
603
688
60-64
1262
573
689
60-64
1248
564
684
65-69
1115
530
585
65-69
1168
515
653
70-7+
927
418
509
70-74
944
435
509
75+
1341
530
811
75+
1470
561
909
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
1730
-242
-495
-380
BIRTHS
1970-1975
1975-1980
198,0-1985
1985-1990
1828
1939
2063
1930
TOTAL
24195
11661
12534
TOTAL
24201
11591
12610
DEATHS
1970-1975 1177
1975-1980 1396
1980-1985 1484
1985-1990 1544
63
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596 T -096 1
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62-92
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HARFORD COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-<»
5-9
10-14
15-19
11207
13286
12634
10811*
5789
6782
6528
5813
5ftl8
650 ft
6106
5001
0-ft
5-9
10-1 ft
15-19
11198
12728
lft215
135U1
5735
6581
7852
7191
5ft63
61ft7
6963
6350
6-ft
..5-9
10-lft
15-19
12083
18895
13793
1583ft
6157
6607
7120
7972
5866
6288
6673
7262
20-2U
25-29
30-31*
35-39
10952
9315
7751
7525
6278
4666
3827
3805
ft 67ft
I*6ft9
392ft
3720
20-2ft
25-29
30-3ft
35-39
135fti
10207
9018
8327
8232
ft91ft
3991*
1*056
5309
5893
508ft
ft271
80-8ft
85-89
30-3ft
35-39
16331
18783
10n7ft
9669
9636
6813
ft360
1*267
6695
5970
571ft
5ft02
no-m
1*5-1*9
50-54
55-59
7286
6909
5517
3986
3672
31*15
2899
811 ft
361ft
3ft 9ft
2618
1872
ftO-ftft
1*5-1*9
50-5ft
55-59
7665
7252
6757
51ft3
3719
3563
3271
2621
39ft6
3689
3ft86
2528
ftO-ftft
i»5-ft9
50-5ft
55-59
8589
7709
7163
637ft
1*002
3659
3ft5ft
299ft
1*527
1*050
3709
3380
60-64
65-69
70-7U
75+
3081*
2225
1686
2278
1528
979
686
905
1556
12ft6
1000
1373
60-6ft
65-69
70-7ft
75+
3568
2699
1801
85ft5
1881
1851
70?
930
17ft7
lftft8
10 9ft
1615
60-6ft
65-69
70-7ft
75+
i*671
31 i*7
8205
8810
8292
1509
922
96ft
2379
1638
J 883
18ft6
TOTAL
116ft55
59686
56769
TOTAL
130205
65838
6ft367
TOTAL Ift5ftl0
72728
72682
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1*
5-9
10-lft
15-19
13007
130ftB
132ftft
lftO60
6663
6686
6776
7ft63
63ftft
6362
6ft68
6597
0-ft
5-9
io-ift
15-19
13681
lft276
136ft8
1376ft
7010
7316
6983
72ft8
6671
6960
6665
6516
20-2ft
25-29
30-3ft
35-39
17336
lft972
18166
10859
10070
7921
6070
fti*i*9
7266
7051
6096
5810
20-2ft
25-29
30-3ft
35-39
J6ft36
16226
l<*5ft6
12ft99
9698
8ft76
7863
6203
6738
7750
7283
6296
ftO-fti*
ft5-ft9
50-51*
55-59
9ftft3
8173
72ft 7
6ft32
ftOpft
3757
3376
3013
5ftl9
ftftl6
3871
3ft 19
ftO-ftft
i*5-ft9
50-5ft
55-59
10190
9220
7836
66ftl
i*267
38ft6
3533
3000
5923
537ft
H303
36ft 1
60-6ft
65-69
70-7U
75+
5579
3967
2U55
31 13
2507
1825
J 072
1078
3072
21ft2
1383
2035
6t1-6ft
65-69
70-7ft
75+
5733
ft851
3182
3519
2569
2037
133ft
1257
316ft
281ft
18ft 8
2262
TOTAL
15ft501
76750
77751
TOTAL
1662U8
820ft0
8U208
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 7512
1975-1980 9188
1980-1985 1990
1985-1990 ft698
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
10265
10ft09
12101
1256ft
DEATHS
1970-1975
1975-19B0
1980-1985
1985-1990
1*029
1*328
500ft
5506
65
6009
609D
098E
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066T-986T
986T-0B6T
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9861-086*
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9£6t-0£6T
SHiaia
9T6D
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6006
£99£
066T-9B6T
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9603
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2682
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£082
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9899
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99
HARFORD COUNTY
PROJECTEO NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-
-1
1081
553
53i
0-
•1
970
189
181
0-
■1
1010
509
501
5-9
1215
628
617
5-
■9
1111
582
559
5-
■9
1035
522
513
10-
•11
1113
557
556
10-
•11
U71
595
579
10-
■If
1081
551
527
15-19
107?
550
522
15-
•19
1161
606
555
15-
■19
1233
619
581
20-
•21
1026
591
135
20-
■21
1102
811
558
20-
•21
1195
901
591
25-
•29
755
386
369
25-
■29
901
116
155
25-
■29
1261
685
579
30-
■31
557
277
280
30-
■31
639
283
356
30-
■31
797
352
115
35-
■39
652
309
313
35-
-39
567
286
281
35-
■39
651
295
359
to-
.11
626
305
321
10-11
515
219
326
10-
-11
167
199
268
15-
-19
507
251
253
15-
■19
511
212
299
15-
-19
173
167
306
so-
■51
358
19?
166
50-51
165
226
239
50-
-51
501
219
285
ds-
-59
313
159
151
55-
■59
307
160
117
55-
■59
107
191
216
60-
•61
268
136
132
60-
■61
259
122
137
60-
•61
251
123
131
65-69
203
95
108
65-
-69
220
109
111
65-
-69
215
99
116
70-
■ 71
151
70
81
70-
-71
150
67
-«?
70-
•71
161
77
87
75+
211
95
119
75+
238
98
110
75+
253
98
155
TOTAL
10117
5157
1990
TOTAL
10680
5371
5306
TOTAL
11306
5610
5666
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-<l
5-9
10-11
15-19
919
1019
919
1079
163
511
165
578
156
505
151
501
0-1
5-9
10-11
15-19
815
950
922
937
126
179
167
199
119
171
155
138
20-21
25-29
30-31
35-39
1507
1302
1123
783
913
715
576
351
591
587
517
129
20-21
25-29
30-31
35-39
1377
1331
1175
1111
855
737
612
575
522
597
563
536
10-11
15-19
50-51
55-59
53)
371
117
123
199
110
139
176
332
231
278
217
10-11
15-19
50-51
55-59
663
112
331
351
258
113
117
108
105
299
211
216
60-61
65-69
70-71
75+
333
202
153
261
115
95
66
101
188
107
87
160
60-61
65-69
70-71
75+
353
271
115
263
133
111
65
97
220
157
80
166
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 -51
1975-1980 119
1980-1985 -111
1985-1990 -223
BIRTHS
1970-1975
1975-1980
19B0-1985
1985-1990
1100
978
912
819
TOTAL
11315
5639
5706
TOTAL
11173
5685
5788
DEATHS
1970-1975 518
1975-1980 168
1980-1985 195
1985-1990 197
67
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89
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HOWARD COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALF
0-4
5-9
10-14
15-19
5300
6799
6707
5024
2704
3503
3416
2567
2596
3296
3291
2457
0-4
5-9
10-14
15-19
7809
9108
10244
8936
4001
4658
5232
4561
3808
4450
5012
4375
0-4
5-9
10-14
15-19
10874
12709
13791
13513
5573
6518
7018
6904
5301
6191
6773
6609
20-24
25-29
30-34
35-39
3494
3938
4298
4368
1674
1817
2113
2277
1820
2121
2185
2091
20-24
25-29
30-34
35-39
6256
5467
6377
6762
3100
2503
2999
3395
3156
2964
337R
3367
20-24
25-29
30-34
35-39
10853
8856
8675
9639
5U20
4205
4047
4683
5433
4651
4628
4956
40-44
45-49
50-54
55-59
4249
3756
2993
2174
2161
1967
1571
1118
2088
1789
1422
1056
40-44
45-49
50-54
55-59
6525
5893
4990
3734
3380
3026
2605
1939
3145
2867
2385
1795
40-44
45-49
50-54
55-59
9671
8822
7649
6066
4885
4572
3929
3131
4786
4250
3720
2935
60-64
65-69
70-74
75+
1529
1125
818
1125
765
512
334
436
764
613
484
689
60-64
65-69
70-74
75+
2545
1722
1212
1672
1256
799
487
609
1289
923
725
1063
60-64
65-69
70-74
75+
4274
2816
1846
2467
2134
1303
764
874
2140
1513
1082
1593
TOTAL
57697
28935
28762
TOTAL
89252
44550
44702
TOTAL 132521
65960
66561
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
12841
14468
15976
15672
6582
7419
8157
7980
6259
7049
7819
7692
0-4
5-9
10-J4
15-19
14539
15831
17071
17204
7453
8118
8719
8786
7086
7713
8352
8418
20-24
25-29
30-34
35-39
14310
12534
11167
10938
7202
6085
5329
5244
7108
6449
5838
5694
20-24
25-29
30-34
35-39
15870
15462
14369
12961
7976
7607
6978
6298
7894
7855
7391
6663
40-44
45-49
50-54
55-59
11528
11003
9700
7969
5655
5570
5008
4044
5873
5433
4692
3925
40-44
45-49
50-54
55-59
12333
12372
11415
9587
5973
6090
5758
4884
6360
6282
5657
4703
60-64
65-69
70-74
75 +
5980
4046
2560
3125
2976
1900
1071
1106
3004
2146
1489
2019
60-64
65-69
70-74
75+
7487
5380
3469
3890
3666
2525
I486
1384
3821
2855
1983
2506
TOTAL
163817
81328
82489
TOTAL
189240
93701
95539
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 28605
1975-1980 39422
1980-1985 25899
1985-1990 19139
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
4970
6762
9936
12231
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
2019
2915
4537
5949
69
699
9S9
T8£
692
066T-996T
9861-0861
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222
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219
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691
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KENT COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
1177
1503
1612
1615
593
739
806
804
584
764
806
811
6-4
_5-9
10-14
15-19
1122
1207
1657
1811
572
603
812
897
550
604
845
914
ii-4
.5-9
10-14
15-19
1034
1042
1187
1669
527
529
591
811
507
513
596
858
20-24
25-29
30-34
35-39
1305
944
812
782
634
462
405
365
671
482
407
417
20-24
25-29
30-34
35-39
1711
1171
930
859
846
573
440
417
865
598
490
442
20-24
25-29
30-34
35-39
1731
1455
1061
886
852
724
506
407
879
731
555
479
40-44
45-49
50-54
55-59
936
946
836
787
455
473
405
387
481
473
431
400
40-44
45-49
50-54
55-59
868
1004
998
873
408
491
496
409
460
513
502
464
40-44
45-49
50-54
55-59
855
832
949
935
417
395
461
451
438
437
488
484
60-64
65-69
70-74
75+
774
758
588
788
363
357
282
342
411
401
306
446
60-64
65-69
70-74
75+
834
808
716
903
386
371
325
386
448
437
391
517
60-64
65-69
70-74
75+
829
781
686
979
366
353
303
403
463
428
383
576
TOTAL
16163
7872
8291
TOTAL
17472
8432
9040
TOTAL
16911
8096
8815
Jl/LY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
1187
980
1054
1248
605
498
534
614
582
482
520
634
0-4
5-9
10-14
15-19
1088
1156
1019
1148
554
587
516
573
534
569
503
575
20-24
25-29
30-34
35-39
1637
1515
1372
1042
790
751
669
485
847
764
703
557
20-24
25-29
30-34
35-39
1258
1456
1458
1375
613
70 6
708
657
645
750
750
718
40-44
45-49
50-54
55-59
903
8*2
811
917
418
414
383
431
4 85
428
428
486
40-44
45-49
50-54
55-59
1081
91 1
839
809
506
425
411
369
575
486
428
440
60-6i*
65- *9
70-74
75+
907
801
684
1028
413
347
299
410
494
454
385
618
60-64
65-69
70-74
75+
911
884
718
1079
404
392
301
418
507
492
417
661
TOTAL
16928
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1244
1975-1980
-525
1980-1985
-69
1985-1990
323
RIRTHS
1970-1975 1044
1975-1980 1103
1980-1985 1244
1985-1990 1116
OEATHS
8061
B867
TOTAL
17190
8140
9050
197D-1975
1975-1980
1980-1985
1985-1990
973
114?
1157
1177
71
906
288
998
91/.
26/.
198
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PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
368
167
201
0-
■4
251
124
127
0-
•4
227
112
115
5-9
4 54
211
243
.5-
■9
363
161
202
5-9
217
107
110
io-m
493
240
253
10-
■it
494
225
269
10-
■J*
351
151
200
15-19
348
162
186
15-
■19
482
232
250
15-
■19
433
193
240
20-24
247
98
149
20-
■2<t
317
138
179
20-
-24
417
193
224
25-29
256
118
138
25-
■29
214
78
136
25-
■29
261
109
152
30-3<*
216
96
120
30-
■34
267
126
141
30-
-34
198
74
124
35-39
192
87
105
35-39
217
95
122
35-
-39
244
114
130
40-44
235
113
122
40-
■44
215
96
119
40-
•44
217
93
124
45-1)9
234
114
120
45-
■49
251
123
126
45-
•49
205
94
111
50-54
162
88
94
50-
•54
233
111
122
50-
-54
223
107
116
55-59
174
91
83
55-
•59
177
85
92
55-
■59
206
97
109
60-6"*
176
86
88
60-
•64
165
80
85
60-
■64
152
67
85
65-69
155
87
68
65-
■69
164
82
82
65-
•69
lfl
69
72
TO-74
109
58
51
70-74
129
70
59
70-
■74
125
60
65
75+
141
74
67
75+
162
83
79
75 +
176
90
86
TOTAL
3980
1892
2068
TOTAL
4101
1909
2192
TOTAL
3793
1730
2063
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
351
198
215
303
175
102
125
176
100
113
178
0-4
5-9
10-14
15-19
290
327
201
176
144
163
95
80
l*p
164
106
96
20-24
25-29
30-34
35-39
380
367
250
184
160
J67
106
67
220
200
144
117
20-24
25-29
30-34
35-39
261
338
358
239
97
13?
16t
99
16"»
201
194
140
40-44
45-49
50-54
55-59
249
213
188
203
115
94
84
96
134
119
104
107
40-44
45-49
50-54
55-59
197
249
199
175
72
116
86
77
125
133
113
98
60-64
65-69
70-74
75*
181
134
110
166
79
60
52
90
102
74
58
96
60-64
65-69
70-74
75+
183
160
107
186
80
70
46
86
103
90
. 61
100
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
TOTAL
3712
1670
2042
TOTAL
3646
1612
2034
1970-1975
1975-1980
1980-1985
1985-1990
110
-297
-200
-119
BIRTHS
1970-1975
1975-1980
1980-1965
1985-1990
272
263
393
324
DEATHS
1970-1975
1975-1980
1960-1985
1985-1990
257
277
275
271
73
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MONTGOMERY COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY 1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1
10301
20516
19785
0-1
36571
18781
17793
0-1
36252
18615
17637
5-9
51220
26271
21916
5-9
18307
21599
23708
5-9
13093
22139
20951
10-11
55113
28157
26956
10-11
55178
28279
26899
10-11
50035
25161
21571
15-10
16737
23396
23311
15-19
55112
28202
26910
15-19
52988
27211
25777
20-21
33976
15763
18213
20-21
16208
23581
22627
20-21
52766
27179
25287
25-29
31291
15906
1B388
25-29
36237
162 57
19980
25-29
16886
23303
23583
30-31
31219
15137
16112
30-31
10675
19031
21611
30-31
11101
186QQ
22105
35-39
31069
15205
15861
35-39
35581
17185
18096
35-39
13553
20676
22877
10-11
35019
16905
18111
10-11
33631
16156
17178
10-11
36759
18056
18703
15-19
36613
17628
19015
15-19
35927
17367
18560
15-19
331 37
16218
168P9
50-51
30502
15118
15351
50-51
35062
17167
18795
50-51
33815
16215
17600
55-59
23115
11530
11885
55-59
29055
11108
11917
55-59
33133
15116
17687
60-61
17211
8207
9001
60-61
21571
10169
11105
60-61
25953
12082
13871
65-69
11329
1819
6180
65-69
15291
6751
8513
65-69
18567
8137
10130
70-71
8596
3308
5288
70-71
9780
3770
6010
70-71
12676
5090
7586
75*
12011
3795
8219
75+
11258
1157
9801
75+
15811
1929
10912
TOTAL 198688 211721
256961
TOTAL
519356 266163
282893
TOTAL
576588 279816
296772
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1
5-9
10-11
15-19
10150
12918
15026
18067
20611
22063
23106
21510
19536
20885
21920
23557
0-1
5-9
10-11
15-19
12315
18310
16161
11718
21726
21830
23811
23012
20589
23510
22620
21736
20-21
25-29
30-31
35-39
50857
53609
51876
11158
26598
27271
25782
20126
21259
26338
26091
23732
20-
25-
30-
35-
•21
■29
•31
•39
17677
53565
60351
56360
21783
27327
30599
28130
22891
26238
29752
28230
10-11
15-19
50-51
55-59
11802
36337
31275
31251
21276
17871
15239
11650
23526
18163
16036
16601
10-11
15-19
50-51
55-59
16966
15180
35159
29910
21768
21621
17321
11229
25198
23856
18135
15681
60-61
65-69
70-71
75*
29855
P2516
15111
18931
13323
9766
6172
6080
16532
12750
9272
12851
60-61
65-69
70-71
75+
29171
26786
19257
23361
13081
11139
7631
7600
16087
15617
11626
15761
TOTAL
607108
291750
312358
TOTAL
656210
318650
337560
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 10119
1975-1980 19812
1980-1985 22030
1985-1990 13000
BIRTHS
1970-1975 30703
1975-1980 29628
1980-1985 33592
1985-1990 31130
OEATHS
1970-1975 20156
1975-1980 22207
1980-1985 25102
1985-1990 28330
75
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9Z
PR. GEORGE'S COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY 1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1*
71071
36291
34780
0-4
67562
34568
32994
0-4
68837
35211
33626
5-9
75652
38557
37095
5-9
80418
41118
39300
5-9
84699
43376
41323
10-14
68770
35122
33648
10-14
67792
34599
33193
10-14
78456
40169
38287
15-19
59601
29197
30404
15-19
63986
33189
30797
15-19
66441
35426
33015
20-24
70797
32961
37836
20-24
. . 60444
31864
28580
20-24
69293
37873
31420
25-29
64189
31729
32460
25-29
63164
27826
35338
25-29
58141
28806
29335
30-34
49607
25183
24424
30-34
62034
30461
31573
30-34
66731
29409
37322
35-39
42022
21979
20043
35-39
46332
23693
22639
35-39
62506
30829
31677
HO-UU
38434
19494
18940
40-44
36353
18848
17505
40-44
43668
22083
21585
45-49
36952
17838
I9il4
45-49
31842
16006
15836
45-49
32570
16761
15809
50-54
29790
14791
14999
50-54
30783
14468
16315
50-54
28531
13982
14549
55-59
21965
10628
11337
55-59
24079
11541
12538
55-59
27167
12262
14905
60-64
15726
7355
8371
60-64
17008
7757
9251
60-64
20471
9266
11205
65-69
10467
4587
5880
65-69
11600
4998
6602
65-69
13779
5784
7995
70-74
734 8
2851
4497
70-74
7202
2821
4381
70-74
8783
3385
5398
75*
9125
2955
6170
75*
9406
2969
6437
75+
10195
3176
7019
TOTAL
671516
331518
JULY 1985
339998
TOTAL
680005
336726
JULY 1990
343279
TOTAL
742268
367798
374470
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
. COMPONENTS OF
POPULATION CHANGE
0-4
72401
37024
35377
0-4
77303
39522
37781
5-9
86276
44172
42104
5-9
90765
46458
44307
NET
MIGRATION
10-14
83015
4?567
40448
10-14
85485
43822
41663
15-19
79313
41093
38220
15-19
84683
43898
40785
1970-
1975-
1975 -26281
1980 36685
20-24
73934
40191
33743
20-24
85443
46154
39289
1980-1985 39361
25-29
67099
34834
32265
25-29
72383
37459
34924
1985-1990 47834
30-34
61930
30459
31471
30-34
71430
36712
34718
35-39
67401
29895
37506
35-39
63302
31210
32092
BIRTHS
40-44
59763
29164
30599
40-44
65248
28555
36693
1970-1975 56669
45-49
39779
19927
19852
45-49
55906
26997
28909
1975-1960 45457
50-54
29260
14713
J4547
50-54
36461
17846
18615
1980-1985 48817
55-59
25059
11827
13232
55-59
25936
12591
13345
1985-
1990 53061
•0-64
23403
9929
1 3474
60-64
21632
9624
12008
DEATHS
65-69
16871
7055
9816
65-69
19660
7673
11987
70-74
10628
3998
6630
70-74
13292
5008
8284
1970-1975
75*
11873
3679
8194
75*
14325
4384
9941
1975-1
1980 19884
TOTAL 808005 400527
407478
TOTAL
883254
437913
445341
1980-1985
1985-1990
22439
25643
77
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SI
PR. GE0RGE1S COUNTY
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
A6E
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-1*
15-19
12853
13876
12485
8876
6470
7082
6400
4381
6383
6794
6085
4495
0-4
5-9
10-14
15-19
16726
15884
14255
12392
8451
7987
7310
6373
8275
7897
6945
6019
6-4
5-9
10-14
15-19
18575
21005
17473
15203
9385
10592
8836
7812
9190
10413
8637
7391
20-24
25-29
30-34
35-39
8848
9897
9050
7236
3759
4455
4383
3671
5089
5442
4667
3565
20-24
25-29
30-34
35-39
9793
9526
10749
9602
4926
3858
4821
4713
4867
5668
5928
4889
20-24
25-29
30-34
35-39
14028
11202
11302
120 64
7239
5274
4646
5520
6780
5928
6656
6544
40-44
1*5-1*9
50-5*
55-59
5400
3918
2804
2026
2716
1980
1454
989
2684
1938
1350
1037
40-44
45-49
50-54
55-59
7080
4950
3450
2304
3533
2452
1704
1135
3547
2498
1746
1169
40-44
45-49
50-54
55-59
9Q64
6981
4719
3101
4824
3436
2287
1457
5140
3545
2432
1644
60-64
65-69
70-74
75+
1492
1121
687
820
736
571
337
326
756
550
350
494
60-64
65-69
70-74
75+
1545
1046
757
884
699
481
357
359
846
565
400
525
60-64
65-69
70-74
75+
1926
1190
-771
1043
885
496
323
419
1041
694
448
624
TOTAL 101389
49710
51679
TOTAL 120943
59159
61784
TOTAL 150547
73431
77116
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
20375
22924
22650
18461
10293
11560
11467
9355
10082
li364
11183
9106
0-4
5-9
10-14
15-19
22809
24966
24807
23806
12590
12556
12065
11288
12376
12251
11741
20-24
25-29
30-34
35-39
16855
15412
12984
12654
8677
7555
6046
5369
8178
7857
6938
7285
20-24
25-29
30-34
35-39
20251
18362
17259
14424
10280
9040
8336
6782
9971
9322
8923
7642
40-44
45-49
50-54
55-59
12389
9755
6633
4269
5615
4662
3196
1978
6774
5093
3437
2291
40-44
45-49
50-54
55-59
13101
12177
9298
6059
5530
5455
4352
2802
7571
6722
4946
3257
60-64
65-69
70-74
75«
2638
1512
889
1157
1161
646
335
433
1477
866
554
724
60-64
65-69
70-74
75*
3693
2125
1148
1328
1612
874
449
453
2081
1251
699
875
TOTAL
1B1557
88348
93209
TOTAL
215613
104697
110916
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 8916
1975-1980 19540
1980-1985 20105
1985-1990 22032
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
14245
13924
15694
17979
OEATHS
1970-1975
1975-1980
1980-1985
1985-1990
3604
3863
4789
5952
79
900X
20£t
0S2X
£021
066 T -986 X
9961-0861
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1996
10561
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565
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QUEEN ANNE'S COUNTY
PROJECTEO WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALF
0-4
981
478
506
0-4
854
437
417
0-4
847
433
414
5-9
1323
688
635
5-9
1055
519
536
5-9
877
450
427
10-14
1419
748
671
10-14
1487
773
714
10-14
1150
568
582
15-19
1149
615
534
15-19
1451
774
677
15-19
1451
763
688
20-24
847
419
428
20-24
1050
572
478
20-24
1301
703
598
25-29
803
392
411
25-29
871
415
456
25-29
10 32
547
485
30-34
799
390
409
30-34
926
454
472
30-34
951
456
495
35-39
746
383
363
35-39
869
434
435
35-39
955
478
477
40-44
825
410
415
40-44
818
424
394
40-44
902
455
447
45-49
849
423
426
45-49
907
443
464
45-49
858
437
421
50-51
885
411
474
50-54
953
462
491
50-54
966
460
506
55-59
870
464
406
55-59
969
457
512
55-59
989
484
505
60-614
709
342
367
60-64
913
465
448
60-64
965
437
528
65-69
646
306
340
65-69
727
342
385
65-69
872
429
443
70-71
429
199
230
70-74
560
250
310
70-74
600
265
335
75*
656
280
376
75+
700
289
411
75+
791
316
475
TOTAL
13939
6948
6991
TOTAL
15110
7510
7600
TOTAL
15507
7681
7826
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
899
460
439
0-4
848
434
414
5-9
869
446
423
5-9
939
482
457
10-14
967
497
470
10-14
984
506
478
15-19
1112
557
555
15-19
958
500
458
20-24
1300
691
609
20-24
995
504
491
25-29
1282
677
605
25-29
1311
681
630
30-34
1109
586
523
30-34
1384
730
654
35-39
978
478
500
35-39
1159
620
539
40-44
985
497
488
40-44
1033
511
522
45-49
938
466
472
45-49
1042
518
524
50-54
915
453
462
50-54
1016
492
524
55-59
997
480
517
55-59
974
486
488
60-64
978
459
519
60-64
1014
469
545
65-69
920
405
515
65-69
954
434
520
70-74
716
331
385
70-74
780
322
458
75+
868
339
529
75+
1019
405
614
TOTAL
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
1140
447
404
800
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
880
882
942
869
OEATHS
15833
782?
8011
TOTAL
16410
8094
8316
1970-1975
1975-1980
1980-1985
1985-1990
851
932
1019
1092
81
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33£
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ST. MARY'S COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-"*
5-9
10-14
15-19
5186
6089
5190
4400
2795
3092
2645
2307
2691
2997
2545
2093
0-4
^5-9
10-14
15-19
5078
5815
5784
5575
2598
2967
2951
3143
24 80
2848
2833
2432
0-4
_5-9
10-14
15-19
5275
5543
5603
6247
2698
2836
2874
3489
2577
2707
2729
2758
20-2"*
25-29
30-3"*
35-39
5974
4195
3350
2440
3717
2241
1857
1260
2257
1954
1493
1180
20-24
25-29
30-34
35-39
6641
480P
3648
30 87
4344
2335
1652
1649
2297
2465
1996
1438
20-24
25-29
30-34
35-39
7846
5468
4376
3439
5177
2925
1834
1475
2669
2543
2542
1964
1*0- 44
45-49
50-51*
55-59
2104
1923
1605
1311
1102
987
812
67?
1002
936
793
639
40-44
45-49
50-54
55-59
1884
1487
>708
1449
855
666
810
668
1029
821
898
781
40-44
45-49
50-54
55-59
2550
1309
1324
1575
1250
448
523
680
1300
861
801
895
60-6<*
65-69
70-74
75+
1176
887
645
823
610
446
305
346
566
441
340
477
60-64
65-69
70-74
75+
1249
1076
759
971
612
542
360
399
637
534
399
572
60-64
65-69
70-74
75+
1405
1163
925
U47
623
553
438
466
782
610
487
681
TOTAL
47598
25194
22404
TOTAL
51011
26551
24460
TOTAL
55195
28269
26906
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
6049
3095
2954
0-4
6430
3291
3139
5-9
5918
3027
2891
5-9
6717
3436
3281
10-14
5510
2834
2676
10-14
5913
3040
2873
15-19
6250
3507
2743
15-19
6184
3482
2702
20-24
8687
5609
3078
20-24
8718
5643
3075
25-29
6805
3811
2994
25-29
7665
4251
3414
30-34
5153
2453
2700
30-34
6499
3337
3162
35-39
4251
1684
2567
35-39
5031
2296
2735
40-44
2970
1109
1861
40-44
3786
1318
2468
45-49
1995
839
1156
45-49
2415
703
1712
50-54
1194
328
866
50-54
1859
702
1157
55-59
1266
436
830
55-59
1152
256
896
60-64
1569
654
915
60-64
1296
439
857
65-69
1341
578
763
65-69
1493
607
886
70-74
1030
461
569
70-74
1184
482
702
75*
1407
568
839
75+
1635
639
996
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
-269
931
2489
2715
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
5268
4843
5471
5841
TOTAL
61395
3099-5
3040?
TOTAL
67977
339??
34055
DEATHS
1970-1975 1584
1975-1980 1586
1980-1985 1763
1985-1990 1979
83
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6T-ST
liT-OT
6-S
t|-0
9E9T
£88 T
£££2
8EX2
928 T
TH02
6£1)2
S£22
29*i£
826E
2££ti
ElDtl
6I-SI
fiT-Of
6-S
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31V H
086T
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39V
31VW3d
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3HVW3J
3"WW
0£6T Annr
nvioi
39V
NOIIVindOd 31IHM Q3iD3rOWd
ainood SiAavw 'is
t/8
TOTAL
ST. MARY'S COUNTY
PROJECTEO NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-lf
15-19
1073
1317
1262
938
520
653
604
481
553
664
658
457
0-4
5-9
10-14
15-19
822
1006
1341
1244
414
490
655
623
408
516
686
621
0-4
5-9
10-14
15-19
921
764
1053
1342
464
384
503
683
457
380
550
659
20-2f
25-29
30-3"*
35-39
673
563
433
381
366
279
207
179
307
284
226
202
20-24
25-29
30-34
35-39
943
529
509
436
536
26U
227
209
407
265
28?
227
20-24
25-29
30-31*
35-39
1258
798
487
519
681
430
219
232
577
368
268
287
<*0-<*i»
45-49
50-54
55-59
1*00
348
315
259
186
169
J 66
140
214
179
149
il9
40-44
U5-49
50-54
55-59
352
340
313
288
151
145
147
147
201
195
.166
141
40-44
45-49
50-54
55-59
410
305
314
292
181
118
129
133
229
187
185
159
60-61*
65-69
70-7<*
75*
224
J 76
114
153
130
96
58
76
94
80
56
77
60-64
65-69
70-74
75+
221
187
131
168
118
106
69
85
103
79
62
83
60-64
65-69
70-74
75+
251
189
141
191
127
100
79
98
124
89
62
93
8629
4310
4319
TOTAL
8830
4388
4442
TOTAL
9235
4561
4674
AGE
0-4
.5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70- 7U
75*
TOTAL
TOTAL
961
887
844
1098
1392
1130
766
512
505
369
289
303
264
221
148
219
9908
JULY 1985
MALE
484
446
413
553
759
582
387
230
210
149
106
121
119
110
75
115
4859
FEMALE
477
441
431
545
633
548
379
282
295
220
183
182
145
111
73
104
5049
AGE
0-4
5-9
JO-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-7U
75+
TOTAL
JULY 1990
TOTAL MALE
891
933
973
898
1155
J267
1097
785
501
459
351
281
276
233
174
241
10515
449
469
478
468
634
660
537
392
209
175
136
101
109
104
84
124
5129
FEMALE
442
464
495
430
521
607
560
393
292
284 '
215
180
167
129
90
117
5386
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
J970-1975
1975-1980
1980-1985
1985-1990
-387
-272
6
44
RIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
945
1065
1080
1005
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
354
387
414
448
85
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109
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299
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266
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609
880
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299
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616 T
61-
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928
£96
881 T
6T-9T
961
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119
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98
SOMERSET COUNTY
PROJECTFD WHITF POPULATION
JULY 1Q70
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALF
AGE
TOTAL
MALE
FFMALE
AGE
TOTAL
MALE
FEMALE
0-4
715
321
394
0-
.4
585
296
289
n-
■ 4
624
316
308
5-9
934
470
4 64
5-
■9
740
333
407
5-
■9
614
310
304
10-14
1057
566
491
10-
■14
1042
525
517
10-
■14
855
392
463
15-19
948
518
430
15-
■19
1083
579
504
15-
-19
1075
543
532
20-2U
709
352
357
20-
■24
80 7
444
363
20-
■24
946
508
438
25-29
637
312
325
25-
■29
630
310
320
25-29
732
403
329
30-34
537
258
279
30-
■34
687
330
357
30-34
684
330
354
35-19
5S0
251
299
35-
■39
561
264
297
35-39
714
337
377
40-44
760
371
389
40-
■44
639
291
348
40-
■44
653
305
34A
45-49
771
391
377
45-49
831
416
415
45-
■ 49
718
340
378
50-54
772
349
423
50-
•54
810
397
413
50-
■54
874
420
454
55-59
755
361
394
55-
■59
790
354
436
55-59
831
402
42°
60-64
739
357
382
60-
■64
774
362
412
60-
•64
812
358
454
65-69
611
255
356
65-
•69
714
321
393
65-
•69
752
328
424
70-74
535
211
324
70-74
562
217
345
70-74
647
268
379
75*
756
313
443
75+
841
316
525
75+
916
325
591
TOTAL
11786
5659
6127
TOTAL
12096
5755
6341
TOTAL
12447
5885
6562
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
655
332
323
0-4
627
318
309
5-9
645
326
319
5-9
688
348
340
10-14
720
365
355
10-14
763
387
376
15-19
877
404
473
15-19
757
384
373
20-24
95 8
465
463
20-24
747
336
411
25-29
863
462
401
25-29
858
427
431
30-34
778
419
359
30-34
922
485
437
35-39
703
334
369
35-39
808
427
381
40-44
796
373
423
40-44
801
377
424
45-49
724
351
373
45-49
877
423
454
50-54
756
344
412
50-54
774
359
415
55-59
882
419
463
55-59
786
355
431
60-64
838
395
443
60-64
901
418
483
65-69
778
320
458
65-69
812
357
455
70-74
672
270
402
70-74
707
268
439
75*
1011
361
650
75*
1098
386
712
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
TOTAL
12626
594 0
6686
TOTAL
129?6
6055
6871
1970-1975
588
1975-1980
627
1980-1985
486
1985-1990
701
niRTHS
1970-1975
716
1975-1980
644
10^0-1985
688
1985-1990
647
OFATHS
1970-1975
994
1975-1O80
921
1980-1985
993
19R5-190D
1048
87
COS
164
oeti
224
OES
619
099
ses
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4169
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586X-086X
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111
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412
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41-
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961
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862
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261
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142
115
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42-
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228
42-
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662
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42-02
924
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188
6X-SX
244
454
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562
609
6-
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404
961
6-
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962
662
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4-
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482
182
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599
4-
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3~lVH3d
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88
TALBOT COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1*
5-9
10-11*
15-19
1628
2051
2212
1991
820
1059
1126
961
808
9Q2
1086
1030
0-4
5-9
10-14
15-19
1494
179s
2329
2443
762
911
1198
1220
732
884
1131
1223
0-4
5-9
10-14
15-19
1408
1485
1822
2298
718
760
. 921
1160
690
725
901
1138
20-24
25-29
30-34
35-39
1425
1344
1179
1151
677
643
553
526
748
701
621
625
20-24
25-29
30-34
35-39
1928
1516
1550
1333
887
729
761
620
1041
787
789
713
20-24
25-29
30-34
35-39
2171
1852
1556
1560
1048
858
766
755
1123
994
790
805
uo-m*
U5-U9
50-51*
55-59
1379
1493
1485
1470
664
703
695
733
715
790
790
737
40-44
45-49
50-54
55-59
1371
1639
1721
1706
635
768
800
794
736
871
921
912
40-44
45-49
50-54
55-59
1405
1457
1677
1744
660
658
7?6
804
745
799
901
940
60-61*
65-69
70-74
75+
1390
1196
925
1391
669
574
372
535
721
622
553
856
60-64
65-69
70-74
75+
1670
1516
1148
1675
805
712
507
600
865
804
641
1075
60-64
65-69
70-74
75+
1714
1600
1290
1824
773
751
558
664
941
849
732
1160
TOTAL
23710
11315
12395
TOTAL
26834
12709
14125
TOTAL
26863
12630
14233
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
1401
1391
1503
1781
715
712
764
878
686
679
739
903
0-4
5-9
10-14
15-19
1370
1471
1503
1570
699
753
764
775
671
718
739
795
20-24
25-29
30-34
35-39
2014
2086
1884
1558
984
1014
891
756
1030
1072
993
802
20-24
25-29
30-34
35-39
1623
2057
2227
1977
765
1012
1097
926
.858
1045
1130
1051
40-44
45-49
50-54
55-59
1622
1482
1494
1695
791
679
668
779
831
803
826
916
40-44
45-49
50-54
55-59
1720
1786
1609
1626
840
849
728
726
880
937
881
900
60-64
65-69
70-74
75+
1741
1637
1350
2005
779
722
584
7?9
962
915
766
1276
60-64
65-69
70-74
75+
1800
1758
1470
2272
804
770
600
824
996
988
870
1448
TOTAL
COMPONENTS OP
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
3403
549
401
2015
RIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
1383
1495
1501
1383
DEATHS
26644
12445
14199
TOTAL
27839
12932
14907
1970-1975
1975-1980
1980-1985
1985-1990
1658
2014
2127
2207
89
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. TALBOT COUNTY
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
485
242
243
0-
-4
425
214
211
0-
■4
391
197
114
5-9
5?6
305
291
5-9
469
234
235
5-9
364
184
180
10-14
599
303
296
10-
■1»
631
329
302
10-
•14
435
222
213
15-19
555
262
293
15-
-19
619
309
310
15-19
584
301
283
20-24
337
168
169
20-
-24
470
215
255
20-
•24
482
238
244
25-29
306
133
173
25-
-29
302
140
162
25-29
398
170
228
30-34
271
128
143
30-
■34
315
142
173
30-
■34
276
133
143
35-39
. 288
140
148
35-
-39
295
145
150
35-39
307
143
164
40-44
345
159
186
40-
■44
333
158
175
40-
•44
30 4
146
158
45-49
354
171
183
45-
■49
391
177
214
45-49
338
158
180
50-54
313
145
168
50-
■54
378
177
201
50-54
372
164
208
55-59
340
170
170
55-
-59
332
153
179
55-
•59
354
164
190
60-64
273
146
127
60-
■64
332
163
169
60-
•64
289
130
159
65-69
240
124
116
65-
■69
264
141
123
65-
•69
287
i"*i
146
70-74
171
. 75
96
70-
■74
202
98
104
70-74
198
100
98
75*
259
111
148
75+
303
120
183
75+
318
129
189
TOTAL
5732
2782
2950
TOTAL
6061
2915
3146
TOTAL
5697
2720
2977
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
318
328
328
387
160
166
170
194
158
162
158
193
0-4
5-9
10-14
15-19
254
276
313
303
127
139
163
154
127
13?
150
149
20-24
25-29
30-34
35-39
444
409
372
268
229
192
163
134
215
217
209
134
20-24
25-29
30-34
35-39
276
397
404
377
138
195
193
171
138
202
211
206
40-44
45-49
50-54
55-59
315
307
321
348
144
1*5
146
152
171
162
175
196
40-44
45-49
50-54
55-59
296
338
311
322
144
153
142
145
152
185
169
177
60-64
65-t>9
70-74
75*
309
251
216
32?
140
114
99
135
169
137
117
187
60-64
65-69
70-74
75*
322
281
202
358
138
128
86
146
184
153
116
212
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
TOTAL
5243
2483
2760
TOTAL
5030
2362
2668
1970-1975
1975-1980
1980-1985
1985-1990
278
-390
-419
-102
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
418
496
423
337
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
363
468
464
450
91
096S
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9299
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WASHINGTON COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGF
TOTAL
MALE
FEMALE
AGE
TOTAL
MALF
FEMALF
0-1
8316
1230
1116
0-U
6731
3152
3279
n-i
6511
3355
3186
5-9
9611
1923
1721
5-9
8375
1210
1135
5-9
6568
3369
3199
10-11
9777
1912
1865
10-11
10009
5090
1919
10-11
8171
127?
1202
15-19
8671
1335
1336
15-19
903U
I99n
191U
15-19
990 5
5037
1868
20-21
7511
3793
3751
20-21
8513
1323
1190
20-21
9519
1861
1685
25-29
6511
3231
3277
25-29
71 5U
3501
3653
25-29
7919
3925
39oi,
30-31
5707
2839
2868
30-31
678it
3380
3101
30-31
7262
3570
36a?
35-39
5870
2826
3011
35-39
5952
2961
2991
35-39
6869
3123
3116
10-11
6375
3115
3230
10-11
5998
2890
3108
10-11
5921
2918
2973
U5-U9
6531
3179
3355
15-ig
6317
3129
3218
15-19
5810
2799
3011
50-51
58U8
2816
3002
50-51
6379
3070
3309
50-51
6028
2912
3086
55-59
5162
2179
2683
55-59
5553
2653
2900
55-59
5912
2793
3119
60-61
1103
2055
2318
60-61
<»771
2201
2570
60-61
5005
2297
2708
65-69
3181
1519
1932
65-69
3901
1735
2169
65-69
1127
1810
2317
70-71
2666
1098
1568
70-71
2868
1178
1690
70-71
3112
1289
1853
75+
3897
1125
2172
75*
1153
1153
2700
75+
1311
1186
2858
TOTAL
100136
18868
51568
TOTAL
103125
50216
53179
TOTAL
103376
50179
53197
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1
6859
3518
3311
0-1
6592
3381
3211
5-9
6352
3258
3091
5-9
6829
3503
3326
10-11
6636
3386
3250
10-11
6588
3361
3227
15-19
8336
1203
1133
15-19
6709
3121
3285
20-21
9186
1891
1592
20-21
8151
1181
3973
75-29
8921
1118
1173
25-29
9079
1587
1192
30-31
7997
3979
1018
30-31
9192
1595
1597
35-39
7318
3599
3719
35-39
8229
1091
1138
10-11
6805
3392
3113
10-11
7120
3650
3770
15-19
571?
2815
2867
15-19
6720
3318
3372
50-51
5187
2615
2872
50-51
55?8
2721
2801
55-59
5555
2662
2893
55-59
5185
2125
2760
60-61
5320
?11i
7906
60-61
5122
2358
2761
65-69
1321
1885
2136
65-69
1708
2078
2680
70-71
3317
131?
1975
70-71
3562
1133
2129
75'
1610
1571
3069
75+
5055
1690
3365
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 1056
1975-1980 -1530
1980-1985 -1951
1985-1990 599
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1900
7135
6813
7232
6795
DEATHS
TOTAL 10306?
50011
53051
TOTAL
101672
5077Q
53893
1970-1975
1975-1980
1980-1 Q8S
1985-19Q0
5701
5361
5591
■^781
93
911
891
1)91
09 1
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WICOMICO COUNTY
PROJECTED TOTAL POPULATION
JULY 1970
•JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALF
FEMALE
0-4
5-9
10-14
15-19
4020
5148
5669
5066
2002
2574
2891
2474
2018
2574
2778
2592
0-4
5-9
10-14
15-19
3798
3988
530 0
5586
1939
1992
2665
2802
1859
1996
2635
2784
6-4
5-9
10-14
15-19
3744
3767
4133
5213
1912
1923
2080
2574
1832
1844
2053
2639
20-24
25-29
30-34
35-39
3726
3507
2961
3192
1612
1705
1467
1535
2114
1802
1514
1657
20-24
25-29
30-34
35-39
4676
3788
3693
3116
2151
1690
1857
1550
2525
2098
1 836
1566
20-24
25-29
30-34
35-39
5193
4727
3968
3820
2476
2221
1839
1935
2717
2506
2129
1885
40-44
45-49
50-54
55-59
3402
3369
3173
2827
1649
1631
1517
1354
1753
1738
1656
1473
40-44
45-49
50-54
55-59
3216
3346
3243
3010
1556
1610
1565
1390
1660
1736
1678
1620
40-44
45-49
50-54
55-59
3140
3164
3221
3075
1570
1518
1544
1435
1570
1646
1677
1640
60-64
65-69
70-74
75+
2447
2010
1543
2203
1097
899
644
818
1350
1111
899
1385
60-64
65-69
70-74
75+
2598
2171
1690
2333
1176
920
706
837
1422
1251
984
1496
60-64
65-69
70-74
75+
2764
2299
1624
2510
1206
983
719
882
1558
1316
1105
1628
TOTAL
54283
2 5869
28414
TOTAL
55552
26406
29146
TOTAL
56562
26817
29745
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
3895
3860
4077
4258
199J
1971
2094
2094
1904
1689
1983
2164
0-4
5-9
io-14
15-19
3800
4106
4268
4305
1943
2099
2192
2159
1857
2007
2076
2146
20-24
25-29
30-34
35-39
5026
5424
5057
4246
2348
2630
2437
1995
2678
?794
2620
2251
20-24
25-29
30-34
35-39
4199
5389
5669
5421
1930
2566
2899
2631
2269
2823
2970
2790
40-44
45-49
50-54
55-59
3957
3212
3171
3176
2010
1591
1518
1471
1947
1621
1653
1705
40-44
45-49
50-54
55-59
4474
4068
3296
3209
2118
2057
1625
1485
2356
2031
1671
1724
60-64
65-69
70-74
75+
2936
2538
2002
2814
1295
1047
795
950
1641
1491
1207
1864
60-64
65-69
70-74
75+
3099
2750
2248
3189
1358
1147
862
1060
1741
1603
1386
2129
TOTAL
59649
28237
31412
TOTAL
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
296
255
2463
3896
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
4115
3901
3913
3714
DEATHS
63710
30131
33579
1970-1975
1975-1980
1980-1985
1985-1990
314?
3146
3287
3552
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WICOMICO. COUNTY
PROJECTED NONWHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
5-9
10-14
15-19
1064
1401
J 436
1210
511
685
692
596
553
716
744
614
0-4
5-9
10-14
15-19
1069
958
1313
1323
539
457
630
643
530
501
683
680
0-4
5-9
10-14
15-19
1000
948
867
1198
504
477
401
580
496
471
466
618
20-24
25-29
30-34
35-39
751
667
603
633
325
302
294
290
426
365
309
343
20-24
25-29
30-34
35-39
1046
678
624
578
500
290
290
287
546
388
334
291
20-24
25-29
30-34
35-39
1158
968
633
597
546
461
277
282
612
507
356
315
40-44
45-49
50-54
55-59
647
615
607
525
310
274
283
275
337
341
324
250
40-44
45-49
50-54
55-59
571
576
552
558
269
267
237
257
302
309
315
301
40-44
45-49
50-54
55-59
517
503
515
507
265
227
230
215
252
276
285
292
60-64
65-69
70-74
75+
446
385
232
322
206
188
108
151
240
197
124
171
60-64
65-69
70-74
75+
464
368
296
352
232
161
139
158
232
207
157
194
60r64
65-69
70-74
75+
494
381
203
411
216
182
118
180
278
199
165
231
TOTAL
11544
5490
6054
TOTAL
11326
5356
5970
TOTAL
10980
5161
5819
JULY 1985
JULY 1990-
AGE
TOTAL
MALE
FEMALE
A6E
TOTAL
MALE
FEMALE
0-4
833
420
413
6-4
689
347
342
5-9
916
461
455
5-9
775
390
385
10-14
894
438
456
10-14
883
432
451
15-19
803
376
427
15-19
849
422
427
20-24
1080
506
574
20-24
716
318
398
25-29
1116
524
592
25-29
1066
498
568
30-34
944
456
488
30-34
1112
528
584
35-39
631
281
350
35-39
948
461
487
40-44
556
271
285
40-44
602
277
325
45-49
469
232
237
45-49
518
243
275
50-54
465
202
263
50-54
445
212
233
55-59
492
217
275
55-59
461
199
262
60-64
471
189
282
60-64
468
195
273
65-69
422
176
246
65-69
415
159
256
70-74
303
138
165
70-74
344
136
208
75+
454
186
268
75+
507
208
299
. COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975
1975-1980
1980-1985
1985-1990
-801
-857
-424
-160
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
1244
1203
989
815
DEATHS
TOTAL
10849
5073
57 76
TOTAL
10798
5025
5773
1970-1975
1975-1980
1980-1985
1985-1990
662
691
694
712
97
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86
WORCESTER COUNTY
PROJECTED WHITE POPULATION
JULY 1970
JULY 1975
JULY
1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-4
1121
555
569
0-1
1037
529
508
0-4
1187
606
581
5-9
1315
708
637
5-9
1271
626
645
5-9
1251
639
612
ln-n
1179
763
716
10-11
1517
810
737
10-14
1564
777
787
15-19
1250
622
628
15-19
1536
768
768
15-19
1693
859
834
20-24
961
117
511
20-21
1155
513
612
20-21
15114
718
786
25-29
988
156
532
25-29
1063
185
578
25-29
1317
607
710
30-31
816
120
126
30-31
1113
548
595
30-31
1284
608
676
35-39
938
158
180
35-39
985
196
189
35-39
1335
650
685
10-11
1030
512
518
10-11
1062
529
533
40-14
1168
596
572
U5-H9
1067
558
50 9
15-19
1159
589
570
15-49
1257
639
618
50-51
1117
511
503
50-51
1111
597
544
50-54
1295
661
634
55-59
1031
179
552
55-59
iini
531
567
55-59
1280
642
638
60-6<t
885
111
171
60-64
1060
475
585
60-64
1185
551
634
65-69
815
370
175
65-69
918
406
512
65-69
1128
481
647
70-71
631
272
362
70-71
. 774
321
453
70-74
878
367
511
75+
968
372
596
75+
1079
399
680
75+
1307
469
838
TOTAL
16408
7920
84 88
TOTAL
18031
8655
9376
TOTAL
20633
9870
10763
JULY 1985
JULY 1990
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
0-1
5-9
10-14
15-19
1370
1375
1512
1676
700
702
773
809
670
673
739
867
0-4
5-9
10-14
15-19
1473
1577
1656
1646
753
806
847
816
720
771
809
830
20-24
25-29
30-34
35-39
1631
1610
1512
1150
795
770
718
698
836
870
791
752
20-24
25-29
30-34
35-39
1635
1786
1852
1694
755
855
888
815
880
931
964
879
10-11
45-49
50-54
55-59
1193
1337
1361
1102
737
692
696
689
756
615
668
713
40-44
45-49
50-54
55-59
1625
1672
1459
1487
793
838
756
731
832
. 834
703
756
60-64
65-69
70-7U
75+
1325
1213
1037
1181
636
531
117
526
689
679
620
958
60-64
65-69
70-74
75+
1455
1351
1118
1723
686
612
463
596
769
739
655
1127
TOTAL
22821
10892
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 1760
1975-1980 2785
1980-1985 2375
1985-1990 2670
BIRTHS
1970-1975 1033
1975-1980 1053
1980-1985 1271
1985-1990 1359
DEATHS
11929
TOTAL
25209
12010
13199
1970-1975
1975-1980
1980-1985
1985-1990
1173
1234
1459
1640
99
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001
BALTIMORE CITY
PROJECTED TOTAL POPULATION
JULY 1970
JULY 1975
JULY 1980
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
6-4
75763
38379
37384
0-4
61913
31386
30 527
0-4
61946
31380
30566
5-9
86931
43818
43113
5-9
69351
35041
34310
5-9
61070
30888
3018?
10-14
89527
44750
44777
10-) 4
80121
40346
39775
10-14
66633
33641
32992
15-19
80890
39181
41709
15-19
8463?
41700
42932
15-19
71961
36081
35880
20-24
75121
34386
40735
20-24
77380
36546
40834
20-24
82651
40073
42578
25-29
59828
29040
30788
25-29
70551
32239
38312
25-29
76160
35841
40319
30-34
47105
22448
24657
30-34
53173
26039
27) 34
30-34
64119
29368
34751
35-39
44715
21106
2360 9
35-39
41945
19486
22459
35-39
49952
23890
26062
40-44
50397
23886
26511
40-44
39722
18252
214 70
40-44
40017
18394
21623
45-49
54718
25504
29214
45-49
43180
20008
23172
45-49
39014
17661
21353
50-54
52507
24440
28067
50-54
47274
21404
25870
50-54
41358
18898
22460
55-59
48236
224?7
25809
55-59
44644
20044
24600
55-59
41749
18440
23309
60-64
42257
19174
23083
60-64
41736
18614
23122
60-64
37951
16562
21389
65-69
35247
J 51 56
20091
65-69
33383
13865
19518
65-69
31887
13441
18446
70-74
26717
10666
16051
70-74
25990
10289
15701
70-74
25435
9639
15796
75+
33556
11777
21779
75+
34951
11853
23098
75+
36918
11981
24937
TOTAL
903515
426138
JULY 1985
477377
TOTAL
849946
397112
JULY 1990
452834
TOTAL
828821
386178
442643
A6E
TOTAL
MALE
FEMALE
AGE
TOTAL
MALE
FEMALE
COMPONENTS OF
POPULATION CHANGE
0-4
61630
31198
30432
0-4
57313
28970
28343
5-9
63057
31977
31080
5-9
62242
31252
30990
NET
MIGRATION
10-14
63943
32228
31715
10-14
63181
31888
31293
15-19
66376
32846
33530
15-19
64246
31770
32476
1970-1975 -66671
1975-1980 -39597
20-24
76770
36432
40338
20-24
72544
35431
37113
1980-1985 -12170
25-?9
74092
35659
38433
25-29
74914
36316
38598
1985-1990 -6251
30-34
69414
32411
37003
30-34
72299
34630
37609
35-39
59514
27147
32367
35-39
64500
29795
34705
BIRTHS
40-44
46324
21798
24526
40-44
54491
24852
29639
1970-1975 64923
45-49
39311
18013
21298
45-49
43910
20767
23143
1975-1980 67976
50-54
37195
16765
20430
50-54
36895
16735
20160
1980-1985 63507
55-59
38245
17050
21195
55-59
34772
15295
19477
1985-1990 59855
60-64
36905
15687
21218
60-64
34264
14939
19325
DEATHS
65-69
31627
12797
18830
65-69
30007
12539
17468
70-74
24402
9338
15064
70-74
25071
9582
15489
1970-1975 51822
75*
37705
12291
25414
75*
37541
12416
25125
1975-1980 49504
TOTAL
826510
383637
44P873
TOTAL
828190
387177
441013
1980-1985
1985-1990
5364 8
51924
101
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B£90I
H2X£
Ib2Z2
£6£03
06Z03
61-91
01-01
6-9
0-0
0E£8l
£9081
E32ZX
IZ99I
606ZI
9608X
068ZX
Z939I
£££9£
b099£
ZIX9£
836X£
61-91
Ol-OX
6-9
0-0
3~lVW3d
31V* "1V101
086 x Ainr
39V 3~IVW3d 3HVW "IVlOi
9zoi xinr
39V
3~IVH3d
3~IVW
oz6X Annr
"ivioi
39V
NOiivnridOd 3iihm u3iD3road
Alio 3aowmv8
SOL
BALTIMORE CITY
PROJECTED NONWHITE POPULATION
AGE
0-i»
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45- <»9
50-54
55-59
60-64
65-69
70-74
75*
TOTAL
43835
51814
52978
44557
35337
28120
24336
23900
24469
23812
20358
16808
12965
10496
6626
7279
JULY 1970
MALE
22122
25924
26254
21182
15347
12678
10798
10593
1126B
11143
9612
7905
6159
4727
2980
2913
TOTAL 427690 201605
FEMALE
21713
25890
26724
23375
19990
15442
13538
13307
13201
12669
10746
8903
6806
5769
3646
4366
226085
AGE
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75+
JULY 1975
TOTAL MALE
41119 20748
44958 22669
52830 26420
53421 26089
45317
36954
29001
24079
23149
23279
22259
18587
14636
10514
7883
9134
20715
15917
13086
10543
10051
10504
10075
8444
6613
4711
3311
3602
TOTAL 457120 213498
FEMALE
20371
22289
26410
27332
24602
21037
15915
13536
13098
12775
12184
10143
8023
5803
4572
5532
243622
AGE
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75+
JULY 1980
TOTAL MALE
45498
42096
46316
51674
51793
45531
36523
28850
23698
23321
22941
21321
16978
12535
8460
11490
22977
21252
23338
25868
24699
20885
15625
13200
10438
9974
10057
9321
7413
5346
3533
4214
TOTAL 489025 228140
FEMALE
22521
20844
22978
25806
27094
?46"»6
20898
15650
13260
13347
12884
12000
9565
7189
4927
7276
260885
AGE
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
«0-44
45-49
50-54
55-59
60-64
65-69
70-7U
75*
TOTAL
45073
46748
45318
4 7066
51616
47805
43087
35175
27570
22803
21939
21608
20387
14821
9872
13624
JULY 1985
MALE
22790
23629
22856
23256
24357
22749
19541
15549
12903
10440
9927
9556
8571
6128
3931
5046
TOTAL 514512 241229
FEMALE
22283
23119
22462
23810
27259
25056
23546
19626
14667
12363
12012
12052
11816
8693
5941
8578
273283
AGE
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75*
TOTAL
JULY 1990
TOTAL MALE
42320 21408
45678 22905
4718JI 23812
46001 22778
48066
51010
47911
41663
33597
26520
21680
20454
18979
15699
11619
15127
23700
24545
22627
18981
14893
12238
9787
8921
8253
6618
4497
5740
533505 251703
FEMALE
20912
22773
23369
23223
24366
26465
25284
22682
18704
14282
11893
11533
10726
9081
7122
9387
281802
COMPONENTS OF
POPULATION CHANGE
NET MIGRATION
1970-1975 10243
1975-1980 9342
1980-1985 9236
1985-1990 5360
BIRTHS
1970-1975
1975-1980
1980-1985
1985-1990
39869
45133
43562
41915
DEATHS
1970-1975
1975-1980
1980-1985
1985-1990
20682
22570
27311
28282
103
frOl
Organization of Tablea and Explanatory Notes
The tables that follow present industry employment
data estimated for the years 1965, 1970, and 1975 on a
preliminary basis, and projected for 1980 through 1990
in each of the major employment sectors and for each of
the two digit SIC manufacturing industries in which em-
ployment exists within Maryland.
The tables are presented for the State, seven
Maryland planning regions, and all subdivisions of the
State which are included within each of the planning
regions.
It should be noted that the employment data repre-
sent the number of jobB in each sector and that the
number of persons in the armed forces is excluded from
the sector data. The data are classified according to
the Standard Industrial Classification (SIC). Employ-
ment above 50 has been rounded to 100, and the appear-
ance of 0 should be taken to indicate either the absence
of employment or an amount of employment below 50.
105
901
(SIC 15)
(SIC 16)
MARYLAND
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV., FORES, » FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11,12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC 14)
CONTRACT CONSTRUCTION
6ENERAL BUILDING CONTRACT.
HEAVY CONSTRUCT. CONTRACT.
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONEr CLAY. GLASS (SIC 32!
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP, a SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. a REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL S OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT, a PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP., COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC 46)
PUBLIC UTIL. (SIC i*9)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. a REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63,64)
PEAL EST. (SIC 65.66)
SERVICES
PERS. ENTERT., RECR.(SIC 70.72.78-9)
BUSINESS 8 REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLO (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92.93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-199C
********* TH0USAND5 OF EMPLOYEES *************
PERCENTAGE OF
TOTAL EMPLOYMENT
1965
1278.2
51.8
44.4
7.4
2.3
.4
.0
1.9
91.1
27.4
11.6
52,2
265.3
12.2
«..e
5.8
lJL.ji
42.7
12. 5
13.7
11.9
20.7
2.2
4.3
37.9
2.7
24.1
9.4
17.4
16.8
1,2
11.4
2.1
74.4
49.7
13.3
.11.4
270.1
52.9
217.2
57.9
20.1
19.3
18.4
232.1
45.4
42.4
98.0
46.3
233.2
96.7
136,5
1970
1519.0
33.2
27.8
5.4
2.0
.3
.1
1.6
104.2
29.1
16.4
58.7
274.8
9.6
5.5
iiSi
41.9
13.4
15.9
14.3
25.0
2.0
3.8
39.1
2.4
23.0
10.2
21.2
17.5
1.0
11.1
2.4
85.6
53.5
19.0
13.0
344.5
64.2
280.3
75.1
25.1
24.7
25.3
299.2
54.2
70.6
132.7
41.7
300.3
125.5
174.6
1975
1675.3
35.4
29.5
5.9
2.0
.6
.1
1.2
105.2
27.5
17.0
,60.8
238.6
8.0
3.9
33.9
12.8
15.4
14.7
23.5
2.4
3.1
32.4
1.2
16. 7
9.1
20.7
14.3
1.1
10.5
1.5
83.4
50.2
20.1
13.2
397.9
78.0
319.9
86.8
32.6
27.4
26.7
367.6
58.6
81.6
190.0
37.5
356.3
136.2
222.1
1980
1864.4
30.3
23.5
6.8
2.2
.6
.3
1.4
132.5
36.8
19.9
75.8
258.4
B.7
3.9
5,6
10.2
31. 9
13.8
18.5
13.0
24.7
3.6
3.1
32.8
1.2
19.9
10.6
24.5
18.0
1.2
10.9
2.3
89.6
50.9
24.3
14.4
443.6
86.1
357.5
95.4
35.0
30.5
29.8
398.3
72.1
66.0
209.9
30.3
414.2
154.8
259.5
1985
2046.5
26.2
19.3
6.9
2.3
.7
.3
1.3
146.8
40.3
21.8
84.7
256.4
8.7
3.5
5.2
9.6
29.6
13.8
20.2
12.4
26.0
3.8
2.5
30.9
1.1
19.0
11.2
26.5
18.2
1.2
10.8
2.2
92.2
50.9
2«.3
14.9
465.0
96.2
388.8
106.3
40.0
33.7
32.7
446.2
84.0
95.5
242.0
24.6
485.1
179.3
305.7
1990
2221.5
22.9
16.0
7.0
2.4
.7
.3
1.3
161.1
43.8
24.7
92.7
255.5
8.7
3.0
4.5
9.2
27.9
14.8
20.4
11.8
28.7
3.4
1.8
29.7
1.0
18.2
11.6
28.5
18.5
1.1
10.6
2.2
94.1
50.6
27.9
15.4
524.3
106.6
417.7
115.6
43.6
36.8
35.0
493. 7
95.5
104.9
275.7
17.6
551.9
203.3
348.6
1970
100.0
2.2
1.8
.4
.1
.0
.0
.1
6.9
1.9
1.1
3.9
18.1
.6
.3
.4
.7
2.8
.9
1.0
.9
1.6
.1
.3
2.6
.2
1.5
.7
1.4
1.2
.1
.7
1980
100.0
1.6
1.3
.4
.1
.0
.0
.1
7.1
2.0
1.1
4.1
13.9
— T5"
.2
.3
.5
1.7
.7
1.0
.7
1.3
.2
.2
1.6
.1
1.1
.6
1.3
1.0
.1
.6
3.6
4.6
8.7
2.7
19.6
8.3
11.5
3.9
4.6
11.3
1.6
22.2
3,3
13.9
1990
100.0
_JU0_
.7
.3
.0
.0
.1
7.3
2,0
1.1
4.2
11.5
.4
.1
.2
.4
1.3
.7
.9
.5
1.3
.2
.1
1.3
.0
.8
.5
1.3
.8
.0
.5
.2
.1
.1
5.6
4,8
4.2
3.5
2.7
2.3
1.3
1.3
1.3
.9
.8
.7
22.7
23^8
23.6
4.2
4.6
4.8
18.5
19.2
18.8
4.9
5.1
5.2
1,7
1,9
2.0
1.6
1.6
1.7
1.7
1.6
1.6
19.7
21,4
22.2
4.
4.7
12.4
.8
24,0
9.2
15.7
AVERAGE
GROWTH
1970
1980
2.1
-.9
-1.7
2.3
1.0
7.2
11.6
-1.3
2.4
2.4
2.0
2.6
-.6
-1.0
-1.2
.2
-.8
-2.7
.3
1.5
-.9
-.1
6.1
-2.0
-1.7
-6.7
-1.4
.6
1.5
.3
1.8
-.2
-.4
.5
-.5
2.5
1.0
2.6
3.0
2.5
2.4
3.4
2.1
1.7
2.9
2.9
2.0
4.7
-3.1
3.3
2.1
4.0
ANNUAL
RATE
1980
1990
1.8
-2.8
-3.8
.3
.9
1.6
.0
-.7
2.0
1.8
2.2
2.0
-.1
.0
-2.6
-2.2
-1.0
-1.3
.7
1.0
-1.0
1.5
-.6
-5.3
-1.0
-1.8
-.9
.7
1.5
.3
-.9
-.3
-.4
.5
-.0
1.4
.7
1.7
2.2
1.6
1.9
2.3
1.9
1.6
2.2
2.9
2.0
2.8
-5.3
2.9
2.8
3.0
107
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801
ALLEGANY COUNTY
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV., FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC It)
CONTRACT CONSTRUCTION
GENERAL BUILOING CONTRACT.
HEAVY CONSTRUCT. CONTRACT.
CIVILIAN EMPLOYMENT BY INDUSTRY 1963^1990
PERCENTAGE OF
********* THOUSANDS OF EMPLOYEES ************* *■ TOTAL EMPLOYMENT
AVERAGE ANNUAL
GROWTH RATE
(SIC 15)
(SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY, GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP, 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER ANO LEATHER PROD. (SIC 31)
TRANS*3.. COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-42. 44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.64)
REAL EST. (SIC 65.66)
SERVICES
PERS. ENTEPT., RECR.(SIC 70.72.78-9)
BUSINESS 8 REPAIR (SIC 73,75.76)
PROFESSIONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE ANO LOCAL GOVT. (SIC 92.93)
11
1965
31.6
.5
.5
.0
.2
.2
.0
.0
1.8
.6
.3
.9
2
.0
.1
.0
1.4
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.0
.1
.0
.0
.0
.0
.9
.0
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2.3
.3
3.1
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2.5
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2.8
1.9
.4
.4
5.8
.8
5.0
.7
.4
.2
.1
5.0
1.2
.4
2.7
.7
3.5
.3
3.2
1970
34.2
.4
.4
.0
.1
.1
.0
.0
2.2
.6
.5
1.0
11.9
.0
.1
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1.5
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.0
.0
.7
.0
.4
2.3
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3.2
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3.2
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3.4
2.4
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6.0
.8
5.2
.8
.4
.3
.1
5.8
1.2
.4
3.5
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3.7
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3.4
1975
31.4
.5
.4
.1
.3
.3
.0
.0
2.0
.6
.4
1.0
8.3
.0
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1.9
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1.2
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3.1
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2.8
1.9
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6.5
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5.8
1.0
.5
.3
.2
6.2
1.2
.4
4.0
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4.0
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3.6
1980
35.2
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.3
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3.0
.9
.6
1.5
10.5
.0
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1.4
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.6
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1.9
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2.2
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3.7
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2.5
1.5
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6.6
.6
6.0
.9
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6.5
1.2
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4.1
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4.5
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4.2
1985
35.9
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.2
.2
.3
.3
.0
.0
3.5
1.1
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1.7
9.8
.0
.0
.0
1.2
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.0
.0
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.0
.0
.0
.5
.0
.4
1.7
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1.7
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3.8
.0
2.4
1.3
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.3
6.7
.6
6.1
1.0
.5
.4
.1
7.0
1.2
.8
4.5
.4
4.8
.3
4.5
1
36.7
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.1
.2
.3
.3
.0
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4.0
1.3
.9
1.9
9.0
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.0
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1.2
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.0
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1.5
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1.2
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3.8
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2.4
1.3
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6.9
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6.3
1.1
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7.4
1.3
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4.9
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5.2
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4.9
1970
100.0
1.2
1.2
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6.4
1.8
1.5
2.9
34.8
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4.4
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2.0
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1.2
6.7
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9.4
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9.4
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9.9
7.0
1.5
1.2
17.5
2.3
15.2
2.3
1.2
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.3
17.0
3.5
1.2
10.2
2.0
10.8
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9.9
1980
100.0
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8.5
2.6
1.7
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29.8
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1.7
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10.5
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18.8
1.7
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2.6
1.4
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18.5
3.4
2.0
11.6
1.4
12.8
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11.9
10
3
2
5
24
1990
100.0
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9
5
5
2
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1970
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1990
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Oil
WASHINGTON COUNTY
ALL INDUSTRIES
AGR. FORES, a FISH.
AGR. (SIC 01)
AGR. SERV., FORES., FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11,12)
CRUDE PETROL, NAT GAS (SIC 13)
NONMETAL. MINING (SIC 14)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE, CLAY, GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. a SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. a REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT, a PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC .'1)
TRANSP. , COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE, INSUR. a REAL EST.
FINANCE (STC 60,61,62,67)
INSUR. (SIC 63.64)
PEAL EST. (SIC 65,66)
SERVICES
PERS. ENTEFT., RECR.(SIC 70,72,78-9)
BUSINESS 8 REPAIR (SIC 73,75,76)
PROFESSIONAL (SIC 80-2,84,86,89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92,93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-
1990
******** THOUSANDS OF
EMPLOYEES
*************
PERCENTAGE OF
TOTAL EMPLOYMENT
AVERAGE
GROWTH
ANNUAL
RATE
1965
38.4
2.6
1970
41.6
1.7
1975
44.6
1.8
1980
47.0
1.4
1985
49.9
1.2
1.1
.0
.1
• 0
,1
1990
52.5
.9
.9
.0
.1
.0
.1
.1
4.1
1.8
.1
2.2
12.0
.0
.0
.7
.3
.0
.4
.7
.1
4.7
.0
.1
.4
.8
1.8
.0
1.3
.0
.0
.0
.6
3.2
1.8
.9
.5
11.1
2.3
8.8
1.3
.7
.3
.4
10.5
1.9
2.2
5.9
1970
100.0
1980
100.0
1990
100.0
1970
1980
1.2
1980
1990
1.1
2.5
.1
.1
.0
.0
1.6
.1
.0
.0
.0
1.8
.1
.0
/o
.0
1.3
.1
.1
.0
.0
4.1
3.8
.2
.0
.0
.0
.0
5.5
2.2
.2
3.1
32.0
.0
.0
1.4
1.2
.0
1.4
3.0
2.8
.2
.2
.0
1.7
1.7
.0
.2
.0
-1.9
-2.1
.0 ■
.0
.0
-4.3
-3.6
-100.0
.0
.0
_.l
2.2
la
.3
1.2
12.2
.0
• 1
.7
.7
.0
.6
1.3
,,.0
2.3
.9
.1
1,3
13.3
.6
.0
.6
>5
.0
.6
1.3
2.9
.8
.4
. If 7
12.5
.0
.1
.6
.0
.6
• 8
.1
3.3
1.3
.1
1.8
12.7
.•0
.0
.9
.4
.0
.5
.8
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3.7
1.6
.1
2'.1
12.3
.0
.0
.9
.3
.0
.4
.8
.1
4.6
.0
.2
.4
.8
1.8
.0
1.2
.1
.0
.0
.6
3.2
1.8
.8
.6
10.6
2.1
8.5
1.3
.6
.3
.4
9.4
1.7
1.9
5.1
.7
8.1
1.7
6.3
.0
.2
7.0
2.8
.2
3.8
27.0
.0
.0
1.9
.9
.0
1.1
.2
.2
7.8
3.4
.2
4.2
22.9
.0
.0
1.3
.6
.0
.8
.0
.0
3.7
3.7
.0
3.3
-.5
.0
.0
4.1
-2.2
.0
-1.8
.0
.0
2.2
3.3
.0
2.0
-.6
.0
.0
-2.5
-2.8
.0
-2.2
. 1
.1
.2
3.1
1.7
1.3
-4.7
-1.3
4.4
.0
.7
•5
.7
1.2
.0
.5
.1
.0
. 1
.4
3.2
2.1
.4
.7
5.3
.0
.5
.4
.7
1.6
.0
.7
. 1
.0
.0
.6
3.6
2.4
.5
.7
5.9
.0
.4
.4
.3
1.4
.0
.8
.1
.0
.0
.4
3.0
1.9
.5
.6
4.8
.0
.3
.4
.7
1.8
. .0
1.0
.1
.0
•Q
.6
3.2
1.8
.7
.6
10.1
1.9
8.2
1.2
.6
.3
.4
8.2
1.6
1.6
4.4
.8
6.9
1.4
5.5
.2
12.7
.0
1.2
1.0
1.7
3.8
.0
1.7
.2
.0
.0
1.4
8.7
5.8
1.2
.2
10.2
.0
.6
.9
1.5
3.8
.0
2.1
.2
.0
.0
1.3
6.8
3.8
1.5
.2
9.0
.0
.2
.8
1.5
3.4
.0
2.5
.0
.0
.0
1.1
6.1
3.4
1.7
.0
-1.0
.0
-5.0
.0
.0
1.2
.0
3.6
.0 -
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.0
.0
-1.2
-2.8
3.4
.0
-.2
.0
-10.4
.0
1.3
.0
.0
2.7
LOO.O
.0
.0
.0
.0
.0
2.5
7.6
1.6
6.0
1.0
.5
.2
.4
5.2
1.2
.5
2.5
1.0
8.6
1.7
7.0
.9
.5
.2
•3
6.0
1.4
.6
3.0
1.0
9.6
1.8
7.8
1.1
.5
.3
.3
7.7
1.7
1.1
4.0
. g
1.7
20.7
4.1
16.8
2.2
1.2
.5
a 7
14.4
3.4
1.4
7.2
1.3
21.5
4.0
17.4
2.6
I o 3
.6
.9
17.4
3.4
3.4
9.4
1.0
21.1
4.4
16.8
2.5
1.3
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.8
20.0
3.6
4.2
11.2
-1.5
1.6
1.1
1.6
2.9
l.B
4.1
2.9
3.2
1.3
10.3
3.9
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1.9
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.8
1.6
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2.5
1.7
3.2
3.0
4.2
.7
3.5
4.9
.9
4.1
5.9
1.4
4.5
.5
9.2
2.1
7.2
2.4
11.8
2.2
9.9
1.7
14.7
3.0
11.7
1.0
17.5
4.0
13.7
-2.2
3.5
4.5
3.0
-4.6
2.9
4.1
2.7
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************* S33A0"ldW3 dO SONVSriOHl *********
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N0i93a MDiasasad
311
FREDERICK COUNTY
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV. .FORES.. FISH. ( SIC 07-09)
MINING
COAL MINING (SIC 11,12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC 1*)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. iSIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP., COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC <4B>
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.6"*)
REAL EST. (SIC 65.66)
SERVICES
PEPS. DlTERT., RECR.(S1C 70.72.78-9)
BUSINESS 8 REPAIR (SIC 73.75*76)
PROFESSIONAL (SIC 80-2. 84, 86, 89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC y2,93>
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
*******
THOUSANDS OF
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
28.0
30.4
34.5
38,1
41.5
45. n
100.0
100.0
100.0
2.3
1.7
3.7
2.5
■2T5"
2.7
2.6
2.0
1.9
1.7
1.6
1.4
1.3
8.2
5.2
3.1
-2.2
-2.7
-3.5
3.7
8.2
b.O
2.9
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ANNE ARUNDEL COUNTY
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE OF
********* THOUSANDS OF EMPLOYEES ************* TOTAL EMPLOYMENT
AVERAGE ANNUAL
GROWTH RATE
ALL INDUSTRIES
AGR. FORES. & FISH.
AGR. (SIC 01)
AGR. SERV. ►FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC 141
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY, GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP, a SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP.. COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62,67)
INSUR. (SIC 63,64)
PEAL EST. (SIC 65,66)
SERVICES
PERS. ENTERT., PECP.ISIC 70,72,78-9)
BUSINESS 8 REPAIR (SIC 73,75.76)
PROFESSIONAL (SIC 80-2,64,86,89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92,93)
1970
1980
1965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
67.0
86.1
104.0
123.4
138.6
153.9
100.0
100.0
100.0
3.7
2.2
1.9
1.3
1.4
1.4
1.3
1.1
1.5
1.1
.7
.7
-2.4
1.7
1.0
1.1
1.0
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.7
1.2
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.2
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.4
.5
.5
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7.6
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6.2
6.4
3.5
2.6
1.5
1.4
1.7
1.7
1.8
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1.6
1.4
1.3
2.0
1.6
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1.4
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1.2
1.4
1.6
1.6
1.0
1.0
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2.9
2.7
2.6
3.3
4.7
5.5
6.2
3.0
3.8
4.0
6.1
2.8
13.3
16.1
15.3
16.6
16.8
17.2
18.7
13.5
11.2
.3
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6.0
7.7
7.1
7.8
7.8
7.8
8.9
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2.0
2.0
2.2
3.2
3.5
3.8
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1.7
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13.8
19.6
25.3
29.4
32.4
35.7
22.8
23.8
23.2
4.1
2.0
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1.4
3.3
3.7
4.4
5.1
1.6
3.0
3.3
10.2
3.3
13.2
18.3
22.0
25.8
28.0
30.6
21.3
20.9
19.9
3.5
1.7
1.7
2.2
2.8
3.2
3.7
4.4
2.6
2.6
2.9
3.8
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1.1
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6.2
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1.4
1.6
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2.4
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5.5
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6.6
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3.9
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2.4
2.5
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3.4
5.6
9.4
13.8
16.9
20.9
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911
CARROLL COUNTY
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV.r FORES. r FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC 14)
CONTRACT CONSTRUCTION
6ENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP., COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42.44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.64)
REAL EST. (SIC 65.66)
SERVICES
PERS. ENTERT.. RECR.ISIC 70.72.78-9)
BUSINESS 8 REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84,86.89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE ANO LOCAL GOVT. (SIC 92.93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
*******
THOUSANDS OF
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
I960
1985
1990
1970
1980
1990
1980
1990
21.7
25.4
29.2
32.0
34.9
37.5
100.0
100.0
100.0
2.3
1.6
3.5
2.4
2.4
1.8
1.5
1.3
9.4
5.6
3.5
-2.8
-3.2
3.3
2.2
2.3
1.8
1.4
1.2
8.7
5.6
3.2
-2.0
-4.0
.2
.2
.1
.1
.1
.1
.8
.3
.3
-6.7
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.1
.0
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.0
.0
.0
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.0
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.0
.1
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1.6
1.9
1.8
3.0
3.4
3.8
7.5
9.4
10.1
4.7
2.4
.5
.7
.6
1.2
1.4
1.7
2.8
3.8
4.5
5.5
3.5
.2
.2
.2
.2
.2
.2
.8
.6
.5
.0
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1.6
1,8
i,5>
3.9
5.0
5.1
4.8
1.7
6,7
8.0
7,?
8.5
8.6
8.1
31.5
26.6
21.6
.6
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.0
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1.2
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2.9
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1.8
3.2
3.5
3.4
3.5
3.3
12.6
10.6
8.8
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.7
2.4
2.5
1.9
2.9
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-100.0
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1.6
1.3
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-2.8
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1.6
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1.5
1.4
1.3
1.7
1.7
1.8
5.5
5.3
4.8
2.0
.6
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.4
.6
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7.2
4.1
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. 0
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2.4
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.7
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2.8
2.2
1.6
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-1.5
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1.0
1.2
1.3
1.5
3.1
3.8
4.0
4.1
2.3
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.6
.7
.9
1.0
1.1
2.4
2.8
2.9
4.1
2.0
. 1
.2
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.3
.3
.3
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4.1
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.0
.0
.0
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3.4
4.9
6.2
6.5
7.4
8.3
19.3
20.3
22.1
2.9
2.5
.4
1.2
1.6
1.7
2.0
2.5
4.7
5.3
6.7
3.5
3.9
3.0
3.7
4.5
4.9
5.3
5.8
14.6
15.3
15.5
2.8
1.7
.3
.4
.7
.6
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HOWARD COUNTY
ALL INDUSTRIES
AGR. FORES. 8 FISH.
A6R. <SIC 01)
AGR. SERV.. FORES, ► FISH. (SIC 07-09)
MINING
COAL MINING (SIC llrl2)
CRUDE PETROL, NAT GAS (SIC 13)
NONMETAL. MINING (SIC 14)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT.
HEAVY CONSTRUCT. CONTRACT.
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE OF
********* THOUSANDS OF EMPLOYEES ************* TOTAL EMPLOYMENT
(SIC 15)
(SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP., COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42.44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61,62.67)
INSUR. (SIC 63.64)
REAL EST. (SIC 65.66)
SERVICES
PERS. ENTEPT., PECR.ISIC 70.72.78-9)
BUSINESS 8 PEPAIR (SIC 73.75,76)
PROFFSSIONAL (SIC 80-2.84.86,89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92,93)
1965
11.2
1.6
1.4
.2
.0
.0
.0
.0
1.2
.3
.3
.6
1.8
.0
.2
.0
.1
.0
.4
.0
.0
.0
.0
.0
.1
.0
.4
.0
.1
.5
.0
.0
.0
.8
.7
.0
.1
2.0
.3
1.8
.3
. 1
.0
.2
1.7
.5
.1
.4
.7
1.8
. 1
1.7
1970
20.8
1.0
.8
.2
.0
.0
.0
.0
2.2
.6
.7
.9
4.3
.0
.1
2.0
.1
. 0
.7
.1
.1
.0
.0
.0
.1
Yo
.4
.0
.2
.5
.0
.0
.0
.6
.5
.0
.1
3.4
.8
2.6
1.3
.2
.0
1.1
4.6
.5
2.2
1.3
.7
3.4
.3
3.1
1975
36.0
1.2
.9
.3
.0
.0
.0
.0
2.7
.6
,7
1.3
6.0
.0
.1
1.3
.1
.0
.9
.8
1.3
.0
.0
.0
.1
.1
.4
.0
.2
.4
.0
.1
.0
1.1
1.0
.1
.1
8.5
1.6
6.9
1.1
.3
•1
.7
10.5
1.2
.9
7.7
.6
4.8
.3
4.5
1980
45.5
1.1
.7
.4
.0
.0
.0
.0
4.2
1.7
i.o
1.5
11.4
.0
.1
2.9
.1
.0
1.4
3.2
2.1
.0
.0
.0
.1
.2
.3
.0
.5
.5
.1
.0
.0
2.2
2.1
.1
.1
9.0
2.0
7.1
2.1
.3
.1
1.7
9.9
1.1
1.6
6.6
.5
5.5
.6
4.9
1985
54.1
1.0
.6
.5
.0
.0
.0
.0
5.1
2.1
1.2
1.8
13.9
.0
.0
2.9
. 1
.0
1.8
5.0
2.4
.0
.0
.0
.0
.2
.2
.0
.7
.5
.1
.0
.0
2.6
2.5
.1
.1
10.5
2.4
8.1
2.4
.4
.2
1.9
11.7
1.4
2.1
7.8
.5
6.9
.6
6.1
1990
64.0
1.0
.5
.5
.0
.0
.0
.0
5.9
2.4
1.4
2.1
16.4
.0
.0
2.9
.1
.0
2.2
6.3
2.9
.0
.0
.0
.0
.3
.2
.0
.9
.4
.1
.0
.0
3.1
2.9
.1
.1
12.1
2.8
9.2
2.6
.4
.2
2.0
13.7
1.6
2.6
9.2
.3
9.2
.9
8.3
1970
100.0
4.8
3.8
1.0
.0
.0
.0
.0
10.6
2.9
3.4
4.3
20.7
.0
.5
9.6
.5
.0
3.4
.5
.5
.0
.0
.0
.5
.0
1.9
.0
1.0
2.4
.0
.0
.0
2.9
2.4
.0
.5
16.3
3.8
12.5
6.3
1.0
.0
5.3
22.1
2.4
10.6
6.3
3.4
16.3
1.4
14.9
1980
100.0
2.4
1.5
.9
.0
.0
.0
.0
9.2
3.7
2.2
3.3
25.1
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.2
6.4
.2
.0
3.1
7.0
4.6
.0
.0
.0
.2
.4
.7
.0
1.1
1.1
.2
.0
.0
4.6
4.6
.2
.2
19.8
4.4
15.6
4.6
.7
.2
3.7
21.8
2.4
3.5
14.5
1.1
12.1
1.3
10.8
1990
100.0
1.6
.8
.8
.0
.0
.0
.0
9.2
3.8
2.2
3.3
25.6
.0
.0
4.5
.2
.0
3.4
9.8
4.5
.0
.0
.0
.0
.5
.3
.0
1.4
.6
.2
.0
.0
4.8
4.5
.2
.2
18.9
4.4
14,4
4.1
.6
.3
3.1
21.4
2.5
4.1
14.4
.5
14.4
1.4
13.0
AVERAGE
GROWTH
1970
1980
8.1
1.0
-1.3
7.2
.0
.0
.0
.0
6.7
11.0
3.6
5.2
10.2
.0
.0 -
3.8
.0
.0
7.2
41.4
35.6
.0
.0
.0
.0 -
.0
-2.8
.0
9.6
.0
.0
.0
.0
13.9
15.4
.0
.0
10.2
9.6
10.6
4.9
4.1
.0
4.4
8.0
8.2
-3.1
17.6
-3.3
4.9
7.2
4.7
ANNUAL
RATE
1980
1990
3.5
-.9
-3.3
2.3
.0
.0
.0
.0
3.5
3.5
3.4
3.4
3.7
.0
100.0
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.0
.0
4.6
7.0
3.3
.0
.0
.0
100.0
4.1
-4.0
.0
6.1
-2.2
.0
.0
.0
3.5
3.3
.0
.0
3.0
3.4
2.6
2.2
2.9
7.2
1.6
3.3
3.8
5.0
3.4
-5.0
5.3
4.1
5.4
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WASHINGTON SUBURBAN REGION
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV., FORES.. FISH. ( SIC 07-09)
MINING
COAL MINING (SIC llrl2)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC It)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT.
HEAVY CONSTRUCT. CONTRACT.
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
********* THOUSANDS OF EMPLOYEES *************
PERCENTAGE OF
TOTAL EMPLOYMENT
AVERAGE ANNUAL
GROWTH RATE
(SIC 15)
(SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY, GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROO. (SIC 31)
TRANSP., COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC <»8)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61,62.67)
INSUR. (SIC 63.64)
PEAL EST. (SIC 65.66)
SERVICES
PERS. EN7ERT., RECR.ISIC 70,72,78-9)
BUSINESS 8 REPAIR (SIC 73.75,76)
PROFESSIONAL (SIC 80-2.84.86.89)
RIVATE HOUSEHOLO (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92,93)
1965
270.3
5.6
4.7
1.0
1.1
.0
.0
1.1
31.4
9.4
3.0
19,0
12.7
.0
.3
• 2
1.0
.0
.9
.6
2.0
1.4
.6
.1
1.7
.0
.0
. .2
2.3
1.2
.1
.0
.0
7.8
5.5
1.4
.9
61.7
6.6
55.1
15.0
3.9
3.4
7.7
55.3
11.4
14.6
21.4
7.9
79.7
44.3
35.4
1970
378.9
4.0
2.4
1.6
1.0
.0
.0
1.0
36.3
10.2
4.8
21.3
16.3
• 0
.2
^2
1.0
.1
1.2
.6
3.2
.7
.6
.1
2.3
.0
.0
.2
4.3
1.2
.1
.1
.0
9.6
5.1
2.8
1.8
95.6
9.6
86.0
21.3
5.4
5.2
10.7
84.1
15.9
30.4
30.1
7.7
110.8
60.8
50.0
1975
460.3
4.6
2.6
2.0
.6
.0
.0
.6
34.2
8.6
4.3
21.3
19.9
.1
.3
.2
1.2
.1
1.1
.4
4.2
.9
.8
.2
2.8
.0
.4
.1
5.1
1.4
.1
.4
.0
10.8
5.9
3.0
1.8
116.5
16.0
100.5
25.8
8.1
6.5
11.2
112.4
18.3
36.9
50.3
6.9
135.7
67.1
68.6
1980
543.7
4.4
2.3
2.1
.9
.0
.0
.9
51.0
13.0
7.1
30.9
22.5
.2
.1
.1
1.2
.1
1.4
.7
3.9
.7
1.4
.1
3.6
.0
.0
.8
5.7
2.2
.1
.1
.0
15.0
8.5
4.4
2.2
142.0
17.4
124.6
30.5
8.4
9.0
13.1
117.5
24.4
37.8
49.2
6.0
159.9
73.4
86.5
1985
621.9
4.0
1.8
2.2
.9
.0
.0
.9
57.2
14.4
8.3
34,5
24.5
.2
.0
. 1
i.2
.1
1.6
.7
3.8
.8
1.7
.1
3.9
.0
.0
1.0
6.3
2.7
.1
.1
.0
16. B
9.2
5.2
2.3
160.0
19.7
140.3
35.1
9.7
10.7
14.7
132.9
29.2
42.5
56.1
5.1
190.5
83.4
107.1
1990
696.7
3.7
1.5
2.2
.8
.0
.0
.8
64.5
16.1
9.6
38,8
26.7
.2
.0
.1
1.3
.1
1.8
.7
3.5
1.0
1.6
.0
4.3
.0
.0
1.3
7.2
3.4
.1
.1
.0
18.6
9.9
6.2
2.5
176.2
22.5
153.7
39.6
11.1
12.5
16.0
149.6
34.1
47.5
64.4
3.6
216.9
92.5
124.4
1970
100.0
1.1
.6
.4
.3
.0
.0
.3
9.6
2.7
1.3
5.6
4.3
.0
.1
.1
.3
.0
.3
.2
.8
.2
.2
.0
.6
.0
.0
.1
1.1
.3
.0
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2.5
1.3
.7
.5
25.2
2.5
22.7
5.6
1.4
1.4
2.8
22.2
4.2
8.0
7.9
2.0
29.2
16.0
13.2
1980
100.0
.8
.4
.4
.2
.0
.0
.2
9.4
2.4
1.3
5.7
4.1
.0
.0
.0
.2
.0
.3
.1
.7
.1
.3
.0
.7
.0
.0
.1
1.0
.4
.0
.0
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2.8
1.6
.8
.4
26.1
3.2
22.9
5.6
1.5
1.7
2.4
21.6
4.5
7.0
9.0
1,1
29.4
13.5
15.9
1990
100.0
.5
.2
.3
.1
.0
.0
.1
9.3
2.3
1.4
5.6
3.8
.0
.0
.0
.2
.0
.3
.1
.5
.1
.2
.0
.6
.0
.0
.2
1.0
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.0
.0
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2.7
1.4
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.4
25.3
3.2
22.1
5.7
1.6
1.8
2.3
21.5
4.9
6.8
9.2
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31.1
13.3
17.9
1970
1980
1980
1990
3.7
2.5
1.0
-1.7
-.4
-4.2
2.B
• b
-1.0
-1.2
.0
.0
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-1.0
-1.2
3.5
2.4
2.5
2.2
4.0
3.1
3.8
2.3
3.3
1.7
.0
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-6.7
-100.0
-6.7
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1.8
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1.6
2.5
1.6
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2.0
-1.1
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3.6
8.8
1.3
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-100.0
4.6
1.8
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14.9
5.0
2.9
2.4
6.2
4.4
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4.6
2.2
5.2
1.5
4.6
3.5
2.0
l.J
4.0
2.2
6.1
2.6
3.8
2.1
3.7
2.6
4.5
2.8
5.6
3.3
2.0
2.0
3.4
2.4
4.4
3.4
2.2
2.3
5.0
2.7
-2.5
-5.0
3.7
3.1
1.9
2.3
5.6
3.7
121
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PRINCE GEORGE'S COUNTY
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV.. FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC 14)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP.. COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42.44-47)
COMMUN. (SIC US)
PUBLIC UTIL. (SIC 149)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.61)
REAL EST. (SIC 65.66)
SERVICES
PEPS. ENTERT.. RECR.(SIC 70,72.78-9)
BUSINESS 8 REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92.93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
*******
* THOUSAND
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
120.6
172.2
201.7
246.1
280.6
315.9
100.0
100.0
100.0
3.6
2.5
2.7
1.7
1.9
2.1
2.0
2.0
1.0
.9
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2.1
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1.2
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7.2
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-1.2
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15.7
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3.6
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3.6
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94.4
29.6
30.8
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11.9
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26.8
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52.4
66.8
75.0
82.5
26.5
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26.1
3.9
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8.1
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11.6
4.4
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(9/.'9i«£A DIS) dIVd3M S SS3NISD8
(6-9/.'2i.'0i DIS)'HD3« • '1U31N3 'SH3d
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(99*99 DIS) '1S3 "IW3a
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(i.9'29*T9'09 DIS) 3DNWNIJ
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(69-29 DIS) 30VH1 1IV13a
(09 DIS) 30Vai 3-1VS310HM
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(6*i dis) hi in Dngnd
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(62 DIS) 1W0D ONV H0ai3d
(92 DIS) 03IT1V 8 STVDIW3HD
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(92 dis) asi-nv onv asdVd
(£2 DIS) 3-IIJ.X31 a3H10 » H3aVddW
(22 DIS) -TIIW 3111X31
(02 dis) osaaNi* am aood
(6£ DIS) *dnNVW 'DSIW
(9E DIS) '13a 8 'aiSNI
(i£ dis) dines -laodSNvai
(9£ DIS) 'HddnS 8 'din03 '1D313
(9£ DIS) ClD3n3 ld3DX3 ) Aa3NIHDVW
(ij£ dis) -ivi3w asiVDiaavd
(E£ DIS) HV13W Jkawwiad
(2£ DIS) SSV19 «AW^D *3N01S
(92 dis) *ixid onw saniiNand
(*i2 dis) ooom qnv asawm
(6T DIS) SDNVNaaO
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(IT. dis) *iDvaiNOD sawai nwiD3dS
(9T DIS) UDVaiNOD "IDOaiSNOD AAV3H
(9T DIS) 'IDVaiNOD 9NIQlina HVa3N39
NOUDnaiSNOD IDVdlNOD
(tiT DIS) 9NINIW '1V13WNON
(et dis) svg ivn Hoaisd sanaD
(2T«TT DIS) 9NINIW 1VOD
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t'2 I
CALVERT COUNTY
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
********* THOUSANDS OF EMPLOYEES *************
PERCENTAGE OF
TOTAL EMPLOYMENT
AVERAGE ANNUAL
GROWTH RATE
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV.. FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL, NAT GAS (SIC 13)
NONMETAL. MINING (SIC 1"*)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE, CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. 8 PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP., COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-42.44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRAOE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.64)
REAL EST. (SIC 65.66)
SERVICES
PERS. ENTERT.. RECR.ISIC 70,72.78-9)
BUSINESS 8 REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84,86,89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN <iO/ERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92.93)
1970
1980
1965
1970
1975
1980
1965
1990
1970
1980
1990
1980
1990
5.3
5.7
8.5
8.4
8.5
9.1
100.0
100.0
100.0
4.0
.8
1.8
1.0
1.0
.8
.6
.5
17.5
9.5
5.5
-2.2
-4.6
1.6
.9
1.0
.8
.6
.5
15.8
9.5
5.5
-1.2
-4.6
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2.7
1.7
1.4
1.5
12.3
20.2
16.5
9.3
-1.2
.1
.1
.2
.2
.2
.2
1.8
2.4
2.2
7.2
.0
.0
.4
2.3
1.2
.9
.9
7.0
14.3
9.9
11.6
-2.8
.1
.2
.3
.4
..4
.4
3.5
4.8
4.4
7.2
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5.3
3.6
4.4
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2.9
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1.8
1.2
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-100.0
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1.2
1.1
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1.2
2.2
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7.2
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1.8
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1.8
3.6
3.3
11.6
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1.8
1.2
1.1
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1.2
1.1
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1.2
1.1
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.9
1.0
1.2
1.3
1.5
1.6
17.5
15.5
17.6
2.7
2.1
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1.8
1.2
2.2
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7.2
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1.1
1.2
1.3
1.4
15.8
14.3
15.4
2.9
1.6
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5.3
6.0
6.6
5.2
1.8
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1.2
1.1
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3.5
4.8
5.5
7.2
2.3
1.1
1.4
1.5
1.6
1.0
1.9
24.6
19.0
20.9
1.3
1.7
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5.3
6.0
7.7
5.2
3.4
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7.0
7.1
9.9
4.1
4.1
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10.5
4.8
2.2
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1.0
1.4
1.8
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2.2
17.5
21.4
24.2
6.1
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1.8
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5.5
14.9
2.3
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1.1
1.4
1.6
1.8
15.8
16.7
19.8
4.5
2.5
125
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ST, MARY»S COUNTY
ALL INDUSTRIES
AGR. FCRES. 8 FISH.
AGR. (SIC 01)
AGR. SERV.. FORES. r FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROLr NAT GAS (SIC 13)
NONMETAL. MINING (SIC It)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT, a PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 26)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP.. COMMUN. 8 PUB. UTIL.
TRANSP. (SIC 40-42.44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.64)
REAL EST. (SIC 65>66)
SERVICES
PERS. EMTERT.. RECR.ISIC 70.72.78-9)
BUSINESS 8 REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLD (SIC 68)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92.93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
******
* THOUSANDS OF
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
9.9
12.1
14.0
15.3
17.0
19.1
100.0
100.0
100.0
2.4
2.2
2.0
1.2
1.3
1.1
.9
.6
9.9
7.2
4.2
-.9
-3.1
1.6
1.2
1.2
1.0
.9
.7
9.9
6.5
3.7
-1.8
-3.5
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821
CAROLINE COUNTY
ALL INDUSTRIES
AGR. FORES. 8 FISH.
AGR. (SIC 01)
AGR. SERV.. FORES.
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC 14)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT.
HEAVY CONSTRUCT. CONTRACT.
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
********* THOUSANDS OF EMPLOYEES *************
FISH. (SIC 07-09)
(SIC 15)
(SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 3"*)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP, a SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. a REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT, a PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP.. COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-1*2. 44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE, INSUR. 8 REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.64)
REAL EST. (SIC 65.66)
SERVICES
PEHS. ENTERT.. PECR.ISIC 70.72.78-9)
BUSINESS 8 REPAIR (SIC 73.75.76)
PROFESS IONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92.93)
1965
8.0
1.8
1.8
.0
.0
.0
.0
.0
.3
.1
.0
.2
i.7
.0
.1
.0
.0
,0
.0
.0
.0
:.o
.0
.<*
1.0
.0
.2
.0
.0
.0
.0
.0
.0
1.3
1.2
.0
.2
1.4
.2
1.2
.1
.1
.0
.0
.6
.2
.1
.1
.3
.8
.1
.7
1970
7.7
1.2
1.2
.0
.0
.0
.0
.0
.4
.1
.0
.2
.0
.1
,0
.0
,0
.0
.0
.0
.0
.0
.2
1.2
.0
.2
.0
.0
.0
.0
.2
.0
1.1
.9
.0
.1
1.4
.2
1.2
.1
.1
.0
.0
.6
.2
.1
.1
.2
.8
.1
.7
1975
6.9
1.3
1.2
.0
.0
.0
.0
.0
.3
.1
.0
.2
.8
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
'.1
.4
.0
. 1
•8
.1
• o
.0
.1
.0
1.2
1.0
.0
.2
1.6
.3
1.3
.2
.1
.0
.0
.7
.1
.2
.2
.2
.9
.1
.8
1980
7.6
1.0
1.0
.0
.0
.0
.0
.0
.4
.1
• P
.2
1.7
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
. 1
.6
.0
.2
.0
.1
.0
•0
.7
.0
1.0
.9
.0
.1
1.5
.2
1.3
.2
.1
.0
.0
.a
.2
.2
.3
.2
1.0
.1
.9
1965
7.6
.9
.9
.0
.0
.0
.0
.0
.4
.2
.0
.3
1.5
.0
.0
.0
.0
.0
.0
,0
.0
.0
.0
.1
.5
.0
.2
.0
.1
.0
.0
.7
.0
1.0
.8
.0
.1
1.6
.2
1.4
.2
.1
.0
.0
.9
.2
.3
.3
.1
1.1
.1
1.0
1990
7.6
.7
.7
.0
.0
.0
.0
.0
.5
.2
.0
.3
1.5
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.1
.4
.0
.2
.0
.1
.0
.0
.7
.0
.9
.7
.1
.1
1.6
.2
1.4
.2
.1
.0
.0
1.0
.2
.3
.4
.1
1.2
.1
1.1
PERCENTAGE
OF
AVERAGE
ANNUAL
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
I960
1970
1980
1990
1980
1990
00.0
100.0
100.0
-.1
.0
15.6
13.2
9.2
-1.8
-3.5
15.6
13.2
9.2
-1.8
-3.5
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
5.2
5.3
6.6
.0
2.3
1.3
1.3
2.6
.0
7.2
.0
.0
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KENT COUNTY
ALL INDUSTRIES
AGR. FORES, a FISH.
AGR. (SIC 01)
AGR. SERV., FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC llrl2)
CRUDE PETROL, NAT GAS (SIC 13)
NONMETAL. MINING (SIC 1*)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE, CLAY, GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. 8 SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. a REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL 8 OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. « PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 2e)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP. , COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE, INSUR. a REAL EST.
FINANCE (SIC 60,61,62,67)
INSUR. (SIC 63.6")
REAL EST. (SIC 65,66)
SERVICES
PERS. ENTERT., RECR.ISIC 70,72,78-9)
BUSINESS 8 REPAIR (SIC 73,75,76)
PROFESSIONAL (SIC 80-2,84,86,89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEOEPAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92,93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
******
* THOUSANDS OF
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
7.0
6.7
7.4
7.2
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1.5
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133
TALBOT COUNTY
ALL INDUSTRIES
AGR. FORES, a FISH.
AGR. (SIC 01)
AGR. SERV.. FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11.12)
CRUDE PETROL, NAT GAS (SIC 13)
NONMETAL. MINING (SIC 1*)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP. S SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT. S PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP. . COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-42.44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. a REAL EST.
FINANCE (SIC 60.61.62.67)
INSUP. (SIC 63.64)
REAL EST. (SIC 65.66)
SERVICES
PERS. ENTERT., RECR. (SIC 70.72,78-9)
BUSINESS a REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLO (SIC 88)
CIVILIAN GOVERNMENT
FECCPAL GOVT. (SIC 91)
STATE ANO LOCAL GOVT. (SIC 92.93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
******
* THOUSAND!
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
11.1
11.7
14.0
14.2
14.9
15.9
100.0
100.0
100.0
2.0
1.1
2.0
.9
.9
1.0
.8
.7
7.7
7.0
4.4
1.1
-3.5
1.2
.7
.8
.7
.5
.4
6.0
4.9
2.5
.0
-5.4
.8
.1
.1
.3
.3
.3
.9
2.1
1.9
11.6
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
• 0
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.0
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.0
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.0
.0
.0
.7
.7
1.0
.9
.9
.9
6.0
6.3
5.7
2.5
.0
.2
.2
.4
.3
.3
.3
1.7
2.1
1.9
4.1
.0
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...5
. .5
J. 5
3,4
3.5
3.1
2.3
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2.4
2,2
2.8
1.9
1,8
1.9
18.8
13.4
11.9
-1.5
.0
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-100.0
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.6
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.2
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1.3
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7.2
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1.6
1.4
1.9
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12.0
5.6
3.1
-5.4
-4.6
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1.4
1.3
7.2
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3.4
4.9
5.7
5.8
2.5
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.7
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4.3
4.9
5.0
3.4
1.3
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2.6
2.8
2.5
2.9
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1.7
2.1
1.9
4.1
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2.0
2.7
3.2
3.7
4.0
4.4
23.1
26.1
27.7
3.2
1.7
.2
.3
.4
.6
.7
.7
2.6
4.2
4.4
7.2
1.6
1.8
2.3
2.7
3.1
3.3
3.6
19.7
21.8
22.6
3.0
1.5
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2.6
2.1
1.9
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1.4
1.3
7.2
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2.4
3.4
4.0
4.4
5.0
5.4
29.1
31.0
34.0
2.6
2.1
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1.3
1.5
1.7
6.0
9.2
10.7
6.4
2.7
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1.0
1.4
1.8
2.3
2.8
3.2
12.0
16.2
20.1
5.1
3.4
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1.2
1.1
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10.3
4.9
2.5
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1.2
1.3
1.3
1.4
8.5
9.2
8.8
2.7
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1.7
1.4
1.3
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1.0
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6.8
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CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE OF
********* THOUSANDS OF EMPLOYEES ************* TOTAL EMPLOYMENT
AVERAGE ANNUAL
GROWTH RATE
ALL INDUSTRIES
AGR. FORES, a FISH.
AGR. (SIC 01)
AGR. SERV.. FORES.. FISH. (SIC 07-09)
MINING
COAL MINING (SIC llrl2>
CRUDE PETROL. NAT GAS (SIC 13)
NONMETAL. MINING (SIC l<t)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE. CLAY. GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SJC 35)
ELECT. EQUIP, a SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT, a PUBL. (SIC 27)
CHEMICALS a ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TRANSP.. COMMUN. a PUB. UTIL.
TRANSP. (SIC 140-42. 44-47)
COMMUN. (SIC 148)
PUBLIC UTIL. (SIC 149)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE. INSUR. a REAL EST.
FINANCE (SIC 60.61.62.67)
INSUR. (SIC 63.614)
PEAL EST. (SIC 65.66)
SERVICES
PEPS. ENTERT.. RECR.ISIC 70.72.78-9)
BUSINESS a REPAIR (SIC 73.75.76)
PROFESSIONAL (SIC 80-2.84.86.89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL 60VT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92.93)
1970
1980
965
1970
1975
1980
1985
1990
1970
1980
1990
1980
1990
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9CI
WICOMICO COUNTY
ALL INDUSTRIES
AGR. FORES, a FISH.
AGR. (SIC 01)
AGR. SERV., FORES., FISH. (SIC 07-09)
MINING
COAL MINING (SIC 11,12)
CRUDE PETROL, NAT GAS (SIC 13)
NONMETAL. MINING (SIC It)
CONTRACT CONSTRUCTION
GENERAL BUILDING CONTRACT. (SIC 15)
HEAVY CONSTRUCT. CONTRACT. (SIC 16)
SPECIAL TRADE CONTRACT. (SIC 17)
MANUFACTURING
ORDNANCE (SIC 19)
LUMBER AND WOOD (SIC 24)
FURNITURE AND FIXT. (SIC 25)
STONE, CLAYr GLASS (SIC 32)
PRIMARY METAL (SIC 33)
FABRICATED METAL (SIC 34)
MACHINERY (EXCEPT ELECT.) (SIC 35)
ELECT. EQUIP, a SUPPL. (SIC 36)
TRANSPORT. EQUIP (SIC 37)
INSTR. 8 REL. (SIC 38)
MISC. MANUF. (SIC 39)
FOOD AND KINDRED (SIC 20)
TEXTILE MILL (SIC 22)
APPAREL a OTHER TEXTILE (SIC 23)
PAPER AND ALLIED (SIC 26)
PRINT, fi PUBL. (SIC 27)
CHEMICALS 8 ALLIED (SIC 28)
PETROL. AND COAL (SIC 29)
RUBBER AND PLASTIC (SIC 30)
LEATHER AND LEATHER PROD. (SIC 31)
TPANSP., COMMUN. a PUB. UTIL.
TRANSP. (SIC 40-42,44-47)
COMMUN. (SIC 48)
PUBLIC UTIL. (SIC 49)
TRADE
WHOLESALE TRADE (SIC 50)
RETAIL TRADE (SIC 52-59)
FINANCE, INSUR. a REAL EST.
FINANCE (SIC 60,61,62,67)
INSUR. (SIC 63,64)
REAL EST. (SIC 65,66)
SERVICES
PERS. ENTERT., RECR.(SIC 70,72,78-9)
BUSINESS a REPAIR (SIC 73,75,76)
PROFESSIONAL (SIC 80-2, 84, 86, 89)
PRIVATE HOUSEHOLD (SIC 88)
CIVILIAN GOVERNMENT
FEDERAL GOVT. (SIC 91)
STATE AND LOCAL GOVT. (SIC 92,93)
CIVILIAN EMPLOYMENT BY INDUSTRY 1965-1990
PERCENTAGE
OF
AVERAGE
ANNUAL
*******
THOUSAND!
EMPLOYEES
*************
TOTAL
EMPLOYMENT
GROWTH
RATE
1970
1980
1965
1970
1975
1980
1985
1990
1970
1960
1990
1980
1990
24.2
28.2
29.3
34.1
37.3
41.1
100.0
100.0
100.0
1.9
1.9
3.1
2.0
1.9
1.5
1.3
1.1
7.1
4.4
2.7
-2.8
-3.1
2.6
1.7
1.8
1.4
1.2
1.0
6.0
4.1
2.4
-1.9
-3.3
.5
.3
.1
.1
.1
.1
1.1
.3
.2
-10.4
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
1.3
1.7
1.9
2.6
2.9
3.2
6.0
7.6
7.8
4.3
2.1
.5
.5
.7
.9
.9
1.0
1.8
2.6
2.4
6.1
1.1
.1
.2
.1
.2
.2
.2
.7
.6
.5
.0
.0
.8
UQ
1*1
1-6
1..7
1.9
3.5
4.7
4.6
4.8
1.7
6,6
8.0
5.8
7.8
8.0
8.3
28.4
22.9
20.2
-.3
.6
.0
aO
.0
.0
.0
.0
.0
.0
.0
.0
.0
.7
.5
.4
.3
.3
.2
1.8
.9
.5
-5.0
-4.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.1
.1
.0
.0
.0
.0
.4
.0
.0
-100.0
.0
.0
.0
.0
•0
.0
.0
.0
.0
.0
.0
.0
.0
.1
.1
.2
.2
.3
.4
.6
.7
7.2
4.1
.5
i.i
.6
.6
.5
.3
3.9
1.8
.7
-5.9
-6.7
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.4
.2
.4
.4
.4
.4
.7
1.2
1.0
7.2
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
2.9
4.1
2.9
4.5
4.9
5.2
14.5
13.2
12.7
.9
1.5
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
1.7
i.7
i.i
1.4
1.4
1.4
6.0
4.1
3.4
-1.9
.0
.0
• b
.0
.0
.1
.1
.0
.0
.2
.0
.0
.1
.2
.2
.2
.2
.2
.7
.6
.5
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
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.0
.0
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.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
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1.3
1.7
1.6
2.0
2.2
2.4
6.0
5.9
5.8
1.6
1.8
.6
.9
.7
1.0
1.1
1.2
3.2
2.9
2.9
1.1
1.8
.3
.4
.5
.5
.6
.7
1.4
1.5
1.7
2.3
3.4
.4
.4
.5
.5
.5
.5
1.4
1.5
1.2
2.3
.0
5.1
6.9
8.3
9.7
10.8
12.2
24.5
28.4
29.7
3.5
2.3
1.0
1.4
1.7
1.5
1.6
1.9
5.0
4.4
4.6
.7
2.4
4.0
5.5
6.6
8.2
9.2
10.4
19.5
24.0
25.3
4.1
2.4
.8
.9
.9
1.0
1.1
1.2
3.2
2.9
2.9
1.1
1.8
.3
.3
.4
.4
.5
.6
1.1
1.2
1.5
2.9
4.1
.3
.3
.4
.3
.3
.3
1.1
.9
.7
.0
.0
.2
.3
.2
.2
.2
.2
1.1
.6
.5
-4.0
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3.8
4.2
5.6
6.0
6.9
7.9
14.9
17.6
19.2
3.6
2.8
.8
.8
1.3
1.1
1.3
1.4
2.8
3.2
3.4
3.2
2.4
.4
.5
.7
.8
1.0
1.2
1.8
2.3
2.9
4.8
4.1
1.6
2.2
2.9
3.4
4.1
4.9
7.8
10.0
11.9
4.4
3.7
1.0
.7
.7
.6
.5
.4
2.5
1.8
1.0
-1.5
-4.0
2.1
2.7
3.1
3.6
4.2
4.8
9.6
10.6
11.7
2.9
2.9
.2
.3
.4
.4
.5
.7
1.1
1.2
1.7
2.9
5.8
1.9
2.4
2.8
3.2
3.6
4.1
8.5
9.4
10.0
2.9
2.5
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APPENDIX A
STATE OF MARYLAND
BIRTHS BY COUNTY FOR SELECTED YEARS
COUNTY
1940
1945
1950
1955
1960
1964
1965
1966
ALLEGANY COUNTY
1751
1724
1803
1586
1690
1588
1507
1384
ANNE ARUNDEL COUNTY
1269
1819
2873
3840
5185
5584
5197
5048
BALTIMORE COUNTY
2904
5174
6661
9699
12047
10793
10044
9937
CALVERT COUNTY
256
312
400
471
458
463
466
461
CAROLINE COUNTY
336
329
417
423
436
397
371
380
CARROLL COUNTY
641
708
771
984
1095
1171
1120
1087
CECIL COUNTY
467
702
756
1163
1287
1403
1239
1175
CHARLES COUNTY
464
605
746
937
1023
1080
1004
982
DORCHESTER COUNTY
481
462
559
588
547
551
508
480
FREDERICK COUNTY
1004
1141
1342
1533
1662
1691
1602
1483
GARRETT COUNTY
530
424
530
448
449
435
431
431
HARFORD COUNTY
658
1090
1419
1982
2121
2315
2202
2136
HOWARD COUNTY
380
381
569
698
861
1058
980
819
KENT COUNTY
260
246
313
387
385
332
290
267
MONTGOMERY COUNTY
1770
2694
4740
7053
8199
8417
7973
7705
PR. GEORGE'S COUNTY
1854
2992
5508
8072
10572
13475
13627
13861
QUEEN ANNE'S COUNTY
243
260
311
386
351
362
294
279
ST. MARY'S COUNTY
393
708
883
1085
1413
1496
1307
1179
SOMERSET COUNTY
399
357
436
429
452
357
342
292
TALBOT COUNTY
342
330
427
499
426
445
429
368
WASHINGTON COUNTY
1271
1467
1697
1967
1895
2003
1816
1816
WICOMICO COUNTY
611
636
894
1094
1134
1090
980
948
WORCESTER COUNTY
372
407
555
590
546
510
501
472
BALTIMORE CITY
13712
17848
21382
23291
23262
21987
19907
19127
STATE TOTAL
32368
42816 55992 69205 77496
7900 3
74137
72117
141
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frW
APPENDIX C
STATE OF MARYLAND
COUNTY OF RESIDENCE OF
1970 MILITARY POPULATION BY RACE AND SEX
COUNTY
ALLEGANY COUNTY
ANNE ARUNDEL COUNTY
BALTIMORE COUNTY
CALVERT COUNTY
CAROLINE COUNTY
CARROLL COUNTY
CECIL COUNTY
CHARLES COUNTY
DORCHESTER COUNTY
FREDERICK COUNTY
GARRETT COUNTY
HARFORD COUNTY
HOWARD COUNTY
KENT COUNTY
MONTGOMERY COUNTY
PP. GEORGE'S COUNTY
QUEEN ANNE'S COUNTY
ST. MARY'S COUNTY
SOMERSET COUNTY
TALBOT COUNTY
WASHINGTON COUNTY
WICOMICO COUNTY
WORCESTER COUNTY
BALTIMORE CITY
STATE TOTAL
**
* TOTAL
***
*** WHITE
***
***
NONWHITE
***
TOTAL
MALE
FEMALE
TOTAL
MALE
FEMALE
TOTAL
MALE
FEMAL
58
52
6
58
52
6
0
0
0
15818
15560
258
13952
13714
238
1866
1846
20
1838
1779
59
1761
1702
59
77
77
0
89
89
0
84
84
0
5
5
0
18
18
0
6
6
0
12
12
0
43
39
4
39
35
4
4
4
0
3852
3294
558
3571
3068
503
281
226
55
788
778
10
740
730
10
48
48
0
0
0
0
0
0
0
0
0
0
764
746
18
691
673
18
73
73
0
9
9
0
9
9
0
0
0
0
7662
7376
286
6688
6470
218
974
906
68
247
247
0
224
224
0
23
23
0
29
29
0
29
29
0
0
0
0
5972
5435
537
5637
5162
475
335
273
62
17788
17196
592
16030
15497
533
1758
1699
59
57
57
0
33
33
0
24
24
0
5961
5806
155
5565
5423
142
396
383
13
24
24
0
24
24
0
0
0
0
19
19
0
19
19
0
0
0
0
1216
1054
162
10 75
913
162
141
141
0
42
37
5
12
12
0
30
25
5
8
0
8
0
0
0
8
0
8
3299
3174
125
2521
2429
92
778
745
33
65601
62818
2783
58768
56308
2460
6833
6510
323
145
9W
APPENDIX D
Standard Industrial Classification
SIC 01
Agriculture
SIC 07
Agricultural Services and
Hunting and Trapping
SIC 08
Pores try-
sic 09
Pi sheries
SIC 11
Anthracite Mining
SIC 12
Bituminous Coal and
Lignite Mining
sic 13
Crude Petroleum and
Natural Gas
SIC 11*
Mining and Quarrying of
Honmetalic Minerals
Except Fuels
sic 15
Building Construction -
General Contractors
SIC 16
Construction other than
Building Construction -
General Contractors
SIC 17
Construction - Special
Trade Contractors
SIC 19
Ordnance and Accessories
SIC 20
Pood and Kindred Products
SIC 22
Textile Mill Products
SIC 23
Apparel and Other Finished
Products Made from Fabrics
and Similar Materials
SIC 2k
Lumber and Wood Products,
Except Furniture
SIC 25
Furniture and Fixtures
SIC 26
Paper and Allied Products
8IC 27
Printing, Publishing, and
Allied Industries
SIC 28
Chemicals and Allied Products
SIC 29
Petroleum Refining and
Belated Industries
sic 30
sic 31
sic 32
sic 33
SIC 3k
SIC 35
SIC 36
SIC 37
SIC 38
SIC 39
sic ko
SIC Itl
SIC k2
SIC kk
sic kS
sic 1+7
SIC U8
sic U9
sic 50
sic 52
Rubber and Miscellaneous
Plastic Products
Leather and Leather Products
Stone, Clay and Glass Products
Primary Metal Industries
Fabricated Metal Products, Except
Ordnance, Machinery, and Trans-
portation Equipment
Machinery, Except Electrical
Electrical Machinery,
Equipment and Supplies
Transportation Equipment
Professional, Scientific and
Controlling Instruments;
Photographic and Optioal
Goods; Watches and Clocks
Miscellaneous Manufacturing
Industries
Railroad Transportation
Local and Suburban Transit
and Interurban Passenger
Transportation
Motor Freight Transportation
and Warehousing
Water Transportation
Transportation by Air
Transportation Services
Communication
Electric, Gas and Sanitary
Services
Wholesale Trade
Retail Trade - Building
Materials, Hardware and
Farm Equipment
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