COST EFFECTIVENESS
                IN
WATER QUALITY PROGRAMS
          A DISCUSSION
         U.S. ENVIRONMENTAL PROTECTION AGENCY
             WASHINGTON, D.C. 20460
                OCTOBER 1972

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    Cost  Effectiveness
                in
Water Quality  Programs
           A Discussion
This document discusses critical cost effectiveness
issues that the Environmental Protection Agency
believes must be addressed in water quality planning.
   ENVIRONMENTAL PROTECTION AGENCY

         Washington, D. C. 20460

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                        Contents
   Preface                                                  iii

I.  The Concept                                               1
       Intent                                                 1
       Definition                                             3
       Application                                            5

II.  Projecting Wastewater Flows                              6
       Existing Flows                                        6
       Population                                             7
       Industry                                              10

III. Assembling a Wastewater Systems Configuration          12
       Systems Components  and Sites                        14
       Combined Municipal-Industrial Systems               15
       Individual vs.  Central Treatment Systems             16

IV. Selecting the Treatment Process                         20
       Upgrading the Present Facility                       20
       Reliability and Flexibility                             22
       Reuse of Wastewater                                  24
       Water Disposal vs. Land Disposal of Effluent          25
       Ultimate Disposal of Liquid, Sludge, and Other Wastes 27

V.  Scheduling Construction of Facilities                     29
       Short Design Periods                                 30
       Long Design Periods                                  31
       Financing                                            32
       Treatment Plants                                     33
       Interceptor Sewers                                   34

    Appendices -
       A.  Review Questions for Planning Municipal
            Wastewater Treatment Facilities                 36
        B.  Summary of National Population Trends           43

    Tables  •
       I.   Population Change,  1960-1970                     47
       II.  Standard Metropolitan Statistical Areas           48
                                i.

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Figures -

    1.  Non-SMSA Counties, 1960-
    2.  Non-SMSA Counties, I960-
    3.  Non-SMSA Counties, 1960-
    4.  Non-SMSA Counties, 1960-
    5.  Non-SMSA Counties, 1960-
    6.  Non-SMSA Counties, 1960-
    7.  Non-SMSA Counties, 1960-
    8.  Non-SMSA Counties, 1960-
    9.  Non-SMSA Counties, 1960-
   10.  Non-SMSA Counties, 1960-
   11.  Non-SMSA Counties, 1960-
   12.  Comparison of Non-SMSA1
           Change, 1960-70
70 Population
70 Population
70 Population
70 Population
70 Population
• 70 Population
70 Population
70 Population
• 70 Population
• 70 Population
70 Population
s and SMSA's
Growth (Boston Region)    55
Growth (New York)        56
Growth (Philadelphia)     57
Growth (Atlanta)           58
Growth (Chicago)          59
Growth (Dallas)           60
Growth (Kansas City)      61
Growth (Denver)           62
Growth (San Francisco)    63
Growth (Seattle)           64
Growth (National Svurmary) 65
Rate of Population
                          66
                                 11.

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                         Preface
       The Cost Effectiveness Task Force was formed by the
Deputy Assistant Administrator for Water Programs, Environmental
Protection Agency.  The group was charged with developing guidance
for the Municipal Waste Water Facilities Program to more effectively
utilize Federal funds in water quality management.   The Task Force
consisted of:

William Fitch (Chairman) Division of Planning & Interagency Programs
Robert Bruce             The Mitre Corporation
Lehn Potter              Division of Municipal Waste Water Programs
Jon Rasmussen           Division of Planning & Interagency Programs
Louise Saurel             Office of Deputy Assistant Administrator  for
                          Water Programs
Lester Sutton             Municipal Waste Water Programs (EPA-Boston)
Bruce Truett             The Mitre Corporation
Robert Zeller             River Basin Planning Division (EPA-Portland)

       The Task Force formulated a plan of study,  assisted by the
following  persons:  Loretta Gillam and Ken Feigner from the Division
of Planning & Interagency Programs, and Patricia Morris in the Office
of Intergovernmental Affairs.

       As an adjunct, Robert Smith (EPA Advanced Water Treatment
Research Laboratory,  Cincinnatti) and his staff contributed  previous
studies and performed  new studies in treatment and transmission costs.
Their work was invaluable in preparing this discussion.

       Further insight into regionalization was gained  by a case study of
the Rocky River Basin,  consisting of approximately twenty sub-communities
on the western fringe of Cleveland, Ohio.  Technical and optimization
studies were performed to determine the feasibility of serving this area
with regional treatment plants.  Participants in this study were:

Sidney Beeman            Division of Municipal Waste Water Programs
Robert Horn              Technical Services (EPA-Charlottesville)
John Yearsley            Technical Services (EPA-Portland)

       Final preparation was made with assistance from Gary Broetzman
in collaboration with other staff members of EPA's Division of Water
Planning, the issuing agent of this document.  The Task Force and Division
of Water  Planning would welcome  comments on this water quality planning
discussion as well as suggestions  for improvement from its users.
                            111.

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                     I.  The Concept







       Cost effectiveness has been a Federal water quality control




program objective for several years.  It was  first highlighted,




however,  in the July 1970 Environmental Protection Agency




regulations (18 CFR Part 601) concerning basin and regional/




metropolitan water quality management plans and municipal




wastewater projects.  Subsequent Federal guidelines and reg-




ulations have  further emphasized the need for cost effectiveness




in water quality management.




       The cost effectiveness issues discussed herein are




critical in the formulation of acceptable water quality plans




and projects.  Such issues will become increasingly acute as




even greater  amounts of Federal funds are directed towards water




pollution control.







Intent




       This publication is intended to  help design engineers, water




quality management planners, and decision-makers at all levels of




government apply cost effectiveness for the greatest clean-up pos-




sible for public pollution control dollars.  In conjunction with several

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                                                                   2.
earlier EPA publications (*) it should be used in preparing and review-

ing all water quality plans and designs for municipal wastewater  sys-

tems and projects.  It should be of particular value throughout the

planning and project formulation process.

       Ultimately, the effectiveness of any water pollution control

plan or project is measured by whether it succeeds in meeting and

maintaining water quality standards or other appropriate goals.  But

there are often alternative strategies available for achieving this

fundamental objective.

        The planning role in water quality management is to develop and

evaluate the alternatives and  determine the strategy for attaining the

water quality goals at the least cost.  The (EPA) Guidelines for Water

Quality Management Planning discuss in detail the methods to deter-

mine the cost-effective plan.
(*)  Federal Guidelines for Design, Operation and Maintenance of
Wastewater Treatment Facilities, EPA, September 1970, and supplemen-
tal  technical bulletins.  Guidelines for Water Quality Management
Planning, EPA, January 1971.  Federal Guidelines for Equitable
Recovery of Industrial Waste Treatment Costs in Municipal Systems,
EPA, October 1971.  Draft Guidelines and Procedures  for Preparation
of Environmental Impact Statements,  EPA,  Federal Register,
January 20, 1972 (40 CFR Part 6).

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                                                                     3.
       Two types of plans are required by the Guidelines:  basin and




areawide.  The basin plan centers on water quality management in the




hydrologic system.  It  establishes basinwide priorities and constraints




and allocates the assimilative capacity for meeting water quality stan-




dards among the various wastewater sources.     Of special  relevance




to this discussion, the  areawide (or metropolitan/regional) plan selects




and schedules the systematic application of legal and technological tools




to achieve and maintain water quality standards within certain political-




ly defined areas.  These may be population and industrial concentrations




or other water quality problem areas.  Some critical questions posed in




areawide planning are location and sizing of sewers and treatment




plants,  process selection,  consolidation of facilities, and control of




growth and development for environmental reasons.







Definition
       An effective plan will set forth the actions required to achieve




and maintain water quality standards or other goals, now and in the




future.  It will prevent the degradation of high quality water bodies.




It will contain timetables for action.  And it will contain price tags--




the capital costs of construction, and the on-going costs of operation




and maintenance.




       The objective of cost-effective planning for water pollution con-




trol is to minimize the total of those costs,  whether they are paid  by

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                                                                     4.
the local, state or Federal government.




       On the local level,  a cost-effective plan for a defined local




planning area will minimize the total public cost of pollution con-




trol while satisfying the criteria of controlling environmental




damage, meeting social goals, and providing  reliable performance.




In other words, as a  plan is implemented, the community will




incur capital costs for construction and on-going costs for oper-




ation and maintenance.




       On the national level, cost effectiveness means that local




projects which provide the greatest overall improvement in water




quality,  in terms of beneficial social and environmental impact,  will




be approved before those which provide less improvement.  This is




especially important in determining priorities within a metropolitan




or regional area,  a river basin,  or a state.




        Cost effective water quality management planning must be in-




tegrated with plans for all public services associated with  area develop-




ment.  The area's land-use goals  should provide the basis for  all de-




sired development.   Planning for needed wastewater collection and




treatment facilities must then stem from the  land-use goals, and develop-




ment of these facilities should parallel development of other services




such  as  water  supply,  schools and transportation,  as well  as total




urban development itself.

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Application

        This discussion applies the concept of cost effectiveness to four

major components of the water quality management planning process--

projecting wastewater flows, assembling a wastewater systems con-

figuration,  selecting the  treatment process, and scheduling construc-

tion of facilities.

        All questions posed herein may not be relevant to all areas or

all plans under consideration.  But all pertinent sections should be

used in developing and reviewing a plan or a grant application for a

project.

        Finally, it should be noted that this publication is not intended

to provide cost effectiveness criteria for approval or rejection of a
                                                              i
plan.  Rather, it  is intended as an introduction to the concept of

cost effectiveness.  EPA intends to expand upon this document with

complementary documents or guidelines related specifically to

the evaluation and screening of alternative plans and projects.

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                                                                   6.
                II.   Projecting Wastewater Flows







       Many factors are involved in projecting wastewater flows in a




planning area.  Although analysis of the existing wastewater flows is




the beginning point  in the projection and planning  task, determination




of population trends is obviously of equal importance.  Once these two




major factors have been evaluated other possible planning determinants




are considered, such as:




       -  Extensions of the domestic sewer service area,




       -  Increases in per capita domestic wastewater production,




       -  Increases in discharges from connected industrial sources, and




       -  New  industrial connections.







Existing Flows




       Review and  evaluation of the existing wastewater flows should




be done as part of the analysis of the existing  system which is already




required by the Federal Guidelines for Design, Operation and Main-




tenance of Wastewater Treatment Facilities (EPA). Those guidelines




also require remedial measures if flows appear excessive in relation




to population, and commercial and industrial users served.   The re-




quired analysis should provide answers to  several questions,




including:

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                                                                   7.
       1.  Is there excessive infiltration into the  system?




       2.  Are there illegal storm water connections,  and if so,  what




is being done about them?




       3.  Are sewer ordinances adequate and are they enforced?




       4.  Are reported waste flows reasonable and are they based




on actual in-plant measurements?




       5.  Are reported per capita waste loadings representative?




       6.  How were they determined and is the method defensible?




       It should be noted that in some instances the public is showing an




interest in technological changes to reduce water consumption.  This




could curtail the  per capita wastewater discharge in the near future.




Substantial savings can be made--in capital investment and in operation




and maintenance  costs--by reducing wastewater volume.  Thus all




probable institutional and legal techniques for reducing wastewater




volume should be considered.  (For example:  Building code changes




to restrict the size of water closet tanks, the flow of showerheads, etc.)







Population




       The overall rate of population growth in the United States has




been declining.   But at the same time there have  been  large shifts in




population as  migration has  continued from rural to urban areas.




And in urban areas,  much of the population growth has occurred in

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                                                                  8.
the suburban ring surrounding core cities, while population in the core




cities has remained generally constant.  Some moderate or small rural




communities are developing into regional commercial and service cen-




ters,  and are likely to continue to grow.   But population in most rural




communities is stable or declining.




       Against that general background,  water quality planners analyze




the characteristics of population trends in their given planning area.




To assist, population statistics and projections are available for  most




of the heavily populated  areas of the nation.  Projections are made by




regional planning agencies, by state agencies (commerce, planning, etc.)




and by the Federal government (the Commerce Department's Bureau




of the Census, Office of Business Economics, and Bureau of Economic




Analysis).




       The Census  Bureau's Standard Metropolitan Statistical Area




(SMSA) studies of the larger American cities  are a particularly valuable




planning resource.  However,  areas outside SMSAs are not studied in




such detail,  and a complicating factor in smaller cities is their vul-




nerability to annexation  by neighboring cities.  Since the  smallest stable




geographic boundary is the county,  population by counties has been




tabulated for non-SMSA  counties and subdivided according to population




of the largest town in the county.  (Appendix Bin this publication

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                                                                   9.
contains compilations of 1970 Census data that may be helpful in areas




for which no projections are readily available.  Tabulations are also




presented for each EPA region in Table 1.)




       But whatever sources are used to project population growth,




planners should keep these questions in mind:




       1. Are projected population growth rates realistic?





       2.  What is their basis?




       3.  Do the figures distinguish between total population and




sewered population?




       4.  How does the projection compare with existing data?




       5.  If discrepancies exist,  what caused them?




       6.  What,  if any,  land use constraints were considered in




the population projections ?




       If evaluation produces population projections which are incon-




sistent with present local trends, they should be investigated farther.




If the service area growth rate appears unusual, explanation should be




given.  Incorrect projections in the past have resulted in overcapacity




in some instances,  overloading in others.  More careful planning




today will avoid this in the future.




       Population shifts, as well as growth, should also be considered




within the planning area.  These shifts may have a greater impact than




net increases in population.  For example,  even though the population

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                                                                   10.
growth rate may remain unchanged, will additional sewer lines be re-

quired in different parts of the area because of population shifts ?  From

the core city to the suburbs?  By extensions of the urban fringe?

By converting older homes from septic tanks to sewer service?

       Moreover, population estimates  for water quality planning

should be consistent with population growth estimates used by a state

in preparing its implementation plan submitted to EPA in compliance

with the Clean Air Act of 1970.


Industry

       Industrial connections to the municipal system should also be

considered in projecting future wastewater flows.  Planners should

bear in mind such questions as:

       1.  Do already connected industrial sources expect their

discharges to increase,  decrease,  or remain constant?
 t                                                     t
       2.  Will the nature of discharges from connected industries change?

       3.  What are the prospects  of unconnected industries hooking up

with the municipal  system in the future?

       4.  What are the prospects  of new industries locating in the area,

and what will this mean for  industrial service as well as increased

domestic  service?

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                                                                    11.
       New or expanded industry can obviously affect population growth




and, if added to the municipal system, can obviously produce changes




often not considered in projections.  Also, because industrial effluent




is usually more concentrated than municipal  sewage, industrial waste-




water can have a proportionately greater impact on a municipal




system than its volume along would indicate.




       Another factor: Increasing water supply and waste treatment




costs appear to be causing more intensive use and reuse of water by




the industrial sector,  where production is rising faster than the  volume




of wastewater discharges.  (See Volume I of EPA's 1972 Economics of




Clean Water for a detailed discussion of this trend.)  So,  this too




should be considered, along with the impact of increasing public




interest in conservation practices for reducing domestic water use.




       In sum, while  population is the predominant indicator,  waste-




water flow projections must consider all applicable factors.

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                                                                     12.
         III.  Assembling a Wastewater Systems Configuration







       In formulating a cost-effective plan to address the pollution




sources within a basin or metro/regional area the water  quality plan-




ner considers all feasible alternatives.  Except in the simplest cases




where there is only one practicable means  of achieving water quality




goals, the planner  should identify feasible alternative courses to




achieve the water quality goals; itemize and compare the costs of




major alternatives, and state the basis for selecting the chosen




alternative.




       During the system selection process, the planner examines




these questions:




       1.  Has upgrading of existing facilities been  considered?




What are the advantages and disadvantages?




       2.  Has regionalization of facilities been considered?




       3.  Has a combined municipal-industrial waste treatment




system been considered?




       4.  Has recycling been considered?




       5.  Has a soil disposal system been considered?




       6.  What legal and other institutional methods of regulating




waste discharges,  reducing collection costs,  etc. were considered?




       7. Are cost estimates presented for all feasible alternatives,




and are they consistent with generalized cost curves for the area?

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                                                                     13.
       Although total cost is a basic criterion for system selection,




reliability and flexibility criteria are also important.  These latter




criteria include the contributions of the entire system, or individual




projects,  toward achieving and maintaining  water quality goals,  given




continually changing conditions.   The possibility of utilizing present




facilities,  where upgrading may be the most cost-effective solution,




should be a first  consideration.  And, opportunities for reuse and




recycling, or perhaps land disposal of wastewater, must also be




explored,  especially where there is a resource  management




need for such water conservation.  (These subjects are more fully




discussed  in Chapter IV.)




        The first  step in assembling a cost effective wastewater  systems




configuration is to determine the number and location of treatment




plants within the  metro/regional planning area and the economics




of a possible move from the old  system to a new system.  Then,  the




extent that the systems  configuration should serve all the  area's




municipal  and industrial waste sources and  whether or not to com-




bine municipal and industrial treatment must be determined.  As




the systems  configuration assumes shape, these factors and  issues




must be reexamined to consider the changing environmental and




social issues and conditions bearing upon the planning decisions.

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                                                                     14.
System Components and Sites




       Since a metro or regional waste treatment system will generally




contain the basic components of sewers, pumping stations, and treat-




ment facilities, the cost effective plan or project will consist of a mix




of those components.  Selection of the components will be based on a




systematic comparison of the range of alternatives.




       Identification of acceptable and available treatment sites, along




with tributary areas to these sites, should be made  with an eye to pos-




sible integration into the existing system or to centralization, if desired.




Evaluation of alternative combinations utilizing subsets of the available




sites will yield a single cost-effective solution.  Although




costs will be an important parameter, continuous recognition must be




given to the importance of relevant environmental and social factors.




        This  analysis is rigorous and embodies the entire spectrum of




water quality management planning.  There is no general criteria which




permits screening of alternatives.  The assessment of each site and




each area is unique.




        When evaluating the  system for water disposal (rather than land




disposal) of the effluents and when deciding between a decentralized or a




centralized system, the principal tradeoff involves  the  economies of




scale  of larger treatment facilities versus the added costs of cpnveying




the wastewater.  The conveyance costs are largely  a  function of dis-




tance, gradient,  soil type,  and volume, whereas the treatment costs

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                                                                   15.
vary with the process selected, volume of wastewater, and the organic




load.   Effluent limitations, based on meeting receiving water quality




standards, or other applicable criteria will, of course,  determine the




process  selected.







Combined Municipal-Industrial Systems




       In addressing all forms of pollution in an  areawide plan,  a fun-




damental issue concerns whether the industrial wastes should be treated




separately or served by the municipal  system.  In resolving this issue,




each industry should be evaluated independently in terms of its interest in




and availability of service by the municipal  system, the quantity and




characteristics of its waste,  and the extent of any pretreatment required.




      Specffic questions to bear in mind:





       1.  Is the  industry  interested in having its wastes treated by




the municipal system?




       2.  What is the quantity and nature of the industry's discharges?




       3.  Are in-plant changes to  minimize waste possible?




       4.  What pretreatment requirements are  necessary before




discharge into the municipal  system?




       5.  Has water recycling been investigated?




       6.  Has product recovery  been investigated?




       Industrial economics  regard water as  a process input and treatment

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                                                                     16.
of existing discharges is considered as only one option for pollution




abatement.  Process changes, perhaps effected in answer to pre-




treatment requirements, are another alternative.  Water reuse and




by-product recovery within the plant are some beneficial possibilities,




along with recycling or  in-plant modifications in lieu of pretreatment




and discharge to the municipal system.




       Central to resolution of the issue of creating a joint municipal-




industrial system is the question:  Has the analysis of alternatives in-




cluded examination of the total pollution abatement costs  associated




with separate, partially integrated,  and totally integrated municipal-




industrial systems?




       From a cost-effective  viewpoint, the goal of pollution control




is to accomplish abatement at a minimum total cost. Therefore, the




strategy to be followed  must consider all costs within the planning




area.  Often joint municipal-industrial systems will result in minimiz.




ing public, as well as private, costs because of the  economies of




scale in constructing and operating larger facilities.







Individual vs. Central Treatment Systems




       For scattered,  outlying settlements and small, isolated com-




munities, the opportunities may not be available to join into a

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                                                                     17.
regional or metropolitan wastewater system.  Generally, their options


for controlling wastewater sources are limited.  If the community is


currently sewered and growth is occurring,  the local jurisdiction


may upgrade or expand the present treatment facilities,  extend- ser-.


vice to new users, or combine these actions.  If not sewered, the


community may develop sewers and treatment facilities or rely on


the existing facilities (presumably on-site septic tanks and soil ab-


sorption systems.)


       A Low-density community with limited or no prospects for


growth,  and which is  sewered by individual units,  generally has little


reason to develop a centralized sewerage system if the present facilities


are riot causing a water pollution problem or creating a significant nui-
    ; n, «,
    . 1                                                           »'

s'anc£.  Even  if these problems do exist,  perhaps they could  be best.


solved by a community-operated prbgram of maintenance or  reinstal-


lation of drain fields.  However,  at the same time, all communities


must guard, against groundwater contamination from septic tanks


and otherwise ensure that water quality standards  can be achieved


and maintained.


        If a centralized system is needed, none of the options available


to such small communities are particularly attractive because of the


high unit costs for providing a collection system and treatment facility


for  serving small quantities  of wastewater.  In addition  to costs,

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                                                                  18.
comparison of treatment processes should be based in large part upon



their reliability in continually achieving design treatment levels to pro-



tect the receiving waters.



       The following questions are designed to determine if soil



absorption units or a centralized treatment system is needed.



       1.  Are  there problems associated with  continuing to add septic



tanks within the service area?



       2.   Can these problems be  solved with a community-operated



program of renovation,  proper design and reinatallatioa of drain fields,



and eeheduled maintenance ?



       I.   Is g?eundwater pretested? lUeent experieaet with §eptie



taak§ ladieatee that sell  permeability teats are mere important than



pereelatiea testa in determining suitability, Revised eriteria far



      tank and drain field siiing may alleviate the problem ©f



          failure,"



       4.   Are dweUiagi eluetered in the gerviee af§a? II §©,  !ew@?



but lafgef  geplle lank laeiUUeg gerviag elu§tef devel@pment§ w@uld



e@§i§ §§mpa?§^ l§ tadividual units.  Large? unite may alg@ justify  a



       faeiiily,  (lee Mi^e ©@fp§fafei©n repeat entitled ieleeled legnemte



    gavif earnealal A§eeet&Qf individual Wa§lewateg

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                                                                  19.
       5.  What are the advantages, if any, in installing sewers and




a central treatment plant in a community not now sewered  in terms




of meeting water quality standards, health and other environmental




impacts, overall community goals, and capital-operating costs?




       6.  Can a small community operate a relatively complex




sewage treatment plant at an acceptable level of effectiveness and




reliability?

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                                                                     20.
               IV.  Selecting the Treatment Process







       Determining and selecting the optimum treatment process for




a given site involves balancing considerations of cost, performance




reliability,  opportunities for reuse and recycling, and mode of disposal




of the treatment facility effluent and sludge product. Wastewater




that is not recycled within the system is available  for replenishment




of either the groundwater or surface water sources  or for meeting




local needs  for irrigation.  The type of treatment  process selected--





whether physical, biological,  or chemical,  or  some combination of




these--will  depend upon the cost-effective  solution of the above consider-





ations.







Upgrading the Present Facility




        One  means of meeting both the short and long term demand  for




wastewater  treatment is to upgrade or expand the  existing facilities.




        The  possibility of expanding existing wastewater treatment




facilities  should always be considered in developing a regional system.




Expansion of such facilities may be particularly attractive to minimize




the impact of a system upon the local environment.  Generally,  exist-




ing urban development in the vicinity of present treatment has adjusted




to the facility and the  expansion of this facility might not cause as much





of an impact as developing new facilities at different locations.

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                                                                   21.
       Upgrading existing treatment facilities may be economically




accomplished by merely using available facilities more efficiently.




Some examples might be  replacing filter stones with synthetic filter




media,  pure oxygen aeration in the activated sludge process, chemical




addition to increase iedimentation efficiencies,  the  conversion of a




low-rate trickling filter to high rate  application, and use of flow




equalisation faetlitiei, In some instances, upgrading may provide




a §hert=t§rm s§lufci@n t@ an existing water quality problem while a




laager-term §§lutUa Is being developed,  In ©the? instances, upgrading




of existing facilities may also provide a leag=tei?m g@luti§a if influent




flows to the plant are  limited by legal 2§nings other Controls on growth,




or aivgrsion of @x@e§§ flows  tS other treatment plantss  More detailed




inf§rmatidn an upgrading i§  available la an EPA d§§ign manual en=




titled ^Hgraaififi of EMJ§felflg  Wastewater f Fgatment Plaflts (H72)»




       Questiens pertaining t§ the Upgrading 9r ekpan§i@n of treatment



plants:




        1;   Doei an ifftmeciiate water quality problem exist and does the




plan include an interim §6luH6n^



        2-,  6an the problem  be fn§t cJUring the Interim period thro Ugh



upgrading of existing facilities?




        3:  Do the aiternative §6lUtion§ ineofporate Upgrading  or




expanding the Sxisting treatment facilitUs?

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                                                                      22.
Reliability and Flexibility





       The reliability of a wastewater treatment project or system is




determined by two major measurements:  (1) Its ability to perform




its designed function over a  range of influent conditions within the




system,  and (2) Its ability to contribute as intended to the achievement




of water quality goals and standards.   The first point relates to the




reliability of the design and  operation of a specific facility as discussed




in the Guidelines for Design, Operation and Maintenance (EPA).




The  second point relates to the adequacy of performance over time.




Engineering excellence  in facility design and operation cannot assure




reliability in maintaining the water quality standards if performance




requirements are not well defined by a management  plan for the basin




and the metro/regional  area.




       In evaluating  a series of alternatives for a wastewater system or




for  individual projects,  the EPA Design Guidelines emphasize the need




for  continuous reliability of  performance.  Different systems, treatment




processes, size of facilities, modes of effluent disposal,  and other




related factors can result in different levels of reliability in protecting




water quality.   These different levels of reliability should be considered




either analytically or subjectively in a comparison of alternative




solutions.

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                                                                   23.
       To determine performance reliability the planner should ask:




       1.  Are the facility performance requirements necessary to




meet water quality standards and other defined goals clearly specified




for the planning period ?




       2.  Does the comparison of alternative solutions recognize dif-




ferences in reliability of performance among the alternatives?




       3.  Were these differences considered in selecting the recom-




mended solution?




       The quality of flexibility is as necessary as reliability in plan-




ning for implementing timely changes in a treatment system.  To




include flexibility in his plan,  the planner  should determine:




       1.  If economic and social factors and goals change, can




in-stream disposal be readily converted to land-based disposal?




       2.  Do the treatment sites include adequate space or allow




additional land acquisition to permit process  expansions or changes?




       The EPA Design Guidelines address the need for flexibility in




a treatment facility to provide for efficiency in operation and maintenance.




In addition, consideration must be given to the possible requirement for




major changes in the system responsive to varying overall objectives.




Social objectives for water quality management,  and economic and

-------
                                                                  24.
technological conditions have changed in the past and will undoubtedly




change in the future.







Reuse of Wastewater




       In many parts of the country--particularly the western states,




metropolitan areas,  and coastal zones--serious water quantity shortages




exist or are anticipated.  In these areas, demands for water are in-




creasing for  such uses as agricultural irrigation, industrial processing




and cooling,  parks and recreation developments, and groundwater




replenishment.  Furthermore, high levels of wastewater treatment




are usually required in these areas to meet the water quality standards




or goals.  In many instances the increasing use demands on a decreas-




ing water supply justify wastewater reuse and the added costs of




further treatment, if required, and conveyance to the point of need.




       Some planning questions pertinent to wastewater reuse:




       1.  Are water resource problems identified?




       2.  Is there a limited water resource in the area, and is this




reflected  in a demand or potential demand for wastewater reuse?




       3.  Are reuse alternatives considered?




       4.  Are the added costs of treatment and conveyance facilities




shown?

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                                                                   25
       5.  Are such costs competitive with alternative sources of water

supply in the area for these uses?

       6.  Are there advantages to meeting water quality standards

by reuse rather than discharge directly to a receiving stream?

       7.  Conversely, would  reuse  lead to water deficiencies in the

receiving stream?



Water Disposal vs. Land Disposal of Effluent

       Closely aligned  to the issue of wastewater recycling is the issue

of whether the treated effluent should be disposed of in water  or on land.

This issue assumes greater importance in the same areas where recycling
                          j
needs are the greatest--namely arid regions, urban centers,  and

coastal zones.

       Land disposal of wastes is usually dictated by a combination of

economic and water quality/quantity  factors.  This is particularly true

for irrigation alternatives where  the economic value of water can off-

set possible additional costs for water conveyance to the use point and

for more advanced treatment,  if required.  Other forms of land dis-

posal may be warranted to replenish groundwater supplies as well as

to meet in-stream water quality standards.   Depending upon local

conditions  and the quality of the effluent, such land disposal can be

accomplished through intensive spray irrigation, surface infiltration

ponds, and recharge wells.  Each technique would utilize the soil

-------
                                                                  26.
for filtering and further purification.  But, care must be taken to




avoid groundwater contamination with disease organisms or toxic




elements;  also, soil contamination with grease, oil or heavy metals.





       In evaluating effluent disposal  at inland locations, the impact




of such disposal upon the  hydrological system of the river basin encom-




passing the study area is  important.   Land disposal would affect flow




levels in receiving streams especially during low-flow periods,  de-




pending upon the location  and type of disposal techniques used.  Many




land disposal methods impose additional evapotranspiration losses




on the hydrologic system—losses which would not have occurred from




discharging directly to a  receiving stream.   This is particularly true




where wastewater is used for irrigation.  The specific effects of such




losses upon low-flow periods would vary among basins depending upon




localized  hydrologic, geologic,  and climatic  conditions, but this loss




factor should be recognized when considering large-scale land disposal




alternatives.





       Specific questions pertinent to land disposal of effluent:




       1.   Could the groundwater depletion problem be better solved




through curtailment of withdrawals in favor of alternative water supply




sources ?




       2.  For irrigation uses to be publicly  developed, have all costs

-------
                                                                    27.
associated with land acquisition and relocations according to the


Relocations Act been included,  together with evaluations of expected


economic returns from such irrigation?


        3.  Could this land be better used  for other purposes?


        4.  In lieu of publicly owned  irrigation developments, has the


option of selling the wastewater to private irrigation interests also


been explored?                                                  '


        5.  If the recommended solution is an in-stream disposal of the


effluent, can it be readily converted to a land-use disposal should


economic and social desires change?



Ultimate Disposal of Liquid, Sludge, and  Other Wastes


        Whatever wastewater treatment strategy is implemented, it


will result in sludge, debris, and liquid effluents.   The final disposal


of these products must be accomplished within stringent environmental


limits. This limitation should  be recognized throughout the system and


process selection phases.


        The evaluation of land versus a water-based disposal system

                                                             \
must consider the assimilative waste capacity of the resource.-  Fre-


quently the assimilative capacity of a stream is  substantially increased


at a downstream location at a point below its confluence with a major


tributary.  Transmission of the effluent to that location could permit

-------
                                                                   28.
a lesser degree of treatment.  Likewise,  extension of an ocean outfall




into an area with a prevailing outward current an d increased depth




would lessen the impact upon the receiving waters.  The disposal of





treated  sludge involves similarly interrelated economic and environ-




mental factors.




       Questions pertaining  to the  ultimate disposal of treatment




materials:




       1. Have alternative locations and lengths of effluent outfalls




been considered?




       2.  Has a cost advantage been gained by outfall design or location




by virtue of added dilution?




       3.  Would transport of the treated  effluent  out of the immediate




area or hydrologic basin be a more economical alternative, presuming




inadequate streamflows at the proposed treatment plant site?




       4.  If sludge,  debris  and other wastes are  to be transported out




of the immediate area or river basin, have all possible environmental




and legal problems been investigated?




       5.  What are the costs of various methods  of processing and disposal?




       6.  What are the environmental impacts of those methods?




       7.  Have alternative locations for disposal of the treatment pro-




duct (processed sludge) been identified?




       8.  Is there an economic market for it?





       9.  If incineration i's  contemplated, what impact will this have on





air quality?

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                                                                   29.
               V.  Scheduling Construction of Facilities







       The wastewater flow projections discussed in Section II herein





define the time-related quantities of wastewater to be treated within




the planning area.  The means of selecting a cost-effective wastewater




systems configuration for treating these flows has also been  discussed.




Those selection procedures result in a system which defines the general




location  and projected demand curve for each facility within the system.




       Determining schedules for sewering the service  area and  construct-




ing the treatment facilities must also be based on cost-effectiveness




criteria.  This involves a tradeoff between two basic approaches:




One is to construct smaller facilities initially  to meet short-term




demand, and schedule subsequent modular expansion and upgrading as




needed over time.  The  second is to construct a larger, total system




with substantial reserve capacity to meet projected demand  well into




the future.  It should be emphasized that use of modulated construction




with relatively short design periods does not conflict with nor preclude




longer planning periods.




       The following questions a,re intended to determine whether the




plan or project under review was based upon adequate consideration of




the relationship between overall facility  costs  (both capital and operation)




and facility design period.

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                                                                   30.
       1.  Is the estimated time for the plant or interceptors to reach




full capacity reasonable in the light of estimated  growth rates and area




characteristics?  (See Appendix B for typical population growth rates.)




       2.  Does the plan consider modulated (stepped)  construction of




individual components?




       3.  Are the growth rates such that modulated construction





would be cost effective?







Short Design Periods




       The following factors  suggest the use of relatively short design




periods in estimating future capacity.




       1.   The inherent uncertainty in long-term forecasting of waste-




water quantities,  especially for areas undergoing rapid changes in




population and economic activities;




       2.  The possibility of phasing construction which could  result





in overall savings in debt  service and operating costs;




       3.  The possibility of utilizing new technology when it becomes




available;




       4.  The difficulty of achieving design removal efficiencies when




the capacity of a plant substantially, exceeds the wastewater volume




treated; and





       5.  Changes in social goals  which may  significantly alter future





waste management objectives.

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                                                                     31.
       These considerations suggest that the capacity of a system should




extend only a short timeframe ahead of the projected wastewater demaid




to avoid large amounts of under-utilized investments in the system




and to keep options open for flexibility in the  future.   This is partic-




ularly important in systems which must meet a rapidly  expanding




wastewater treatment demand.







Long Design Periods




       The four major factors which have encouraged local communities




to favor the use of larger initial capacities in the wastewater system to




meet projected needs over  a longer design period are these:




       I.   Economies of scale in constructing larger interceptors




and wastewater treatment facilities;




       2.  High inflation rates in wastewater facilities construction costs;




       3.  Uncertainties in the future availability of Federal and state




construction funds; and




       4.  Increased opportunities for future community development; i.e.




removal of waste treatment constraints  on new construction in the




building and industrial sectors.




       The economies of scale must be  considered in the alternative




analysis and will be compared with increased future costs, discounted





to present worth, in  meeting future  nerds.   Commxmity development

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                                                                     32.
should be evaluated in the overall community-planned program, and




wastewater facilities are one of the services needed to accommodate




the community development desired.





       The advantages and disadvantages of short vs. longer design




periods,  or modular  construction vs. contruction of reserve capacity




in a system,  should be carefully weighed and balanced.   And, the




planner should also consider the often not so obvious broader




environmental questions. For example,  would building large




over-capacity into sewer lines and treatment plants artificially




stimulate intensive community development?   This is a special




danger where sould land-use planning and zoning do not exist or are




not enforced.







Financing




       The interplay between the cost factors  in meeting both short and




long-term needs is very important.  The construction cost inflation




factor may well encourage local decisionmakers to choose a large




reserve  capacity system.  The substantial increase in sewer construc-




tion during the past five years, stimulated by  steadily increasing  Federal




and state funding, has resulted in escalating costs and lengthening con-




struction schedules.   With increased funding likely in the future,  it is




reasonable to postulate a near-term continuation of inflation in

-------
                                                                    33.
construction costs.  The physical ability of construction companies will




be heavily taxed to meet the demand for wastewater facilities,  but on




the other hand, construction capacity should increase as funding in-




creases.   Projecting future inflation is hazardous, but it is reasonable




to anticipate a construction capacity adequate to meet construction




needs within the next five  years.




       Another financing factor is the relationship of inflation  expecta-




tion and  municipal bond rates.  From the local viewpoint the cost of




financing (debt service) is  a decision criteria.  Since inflation  and




bonding rates (interest) are interrelated,  high inflation rates usually




mean higher bonding rates. In making  its decision the municipality must




recognize that it may have to pay an increased debt service resulting




from anticipated inflation.







Treatment Plants
        The relationship between maximum required capacity projected at




the end of the planning period  and  staged construction of treatment facil-




ities  should be explored, especially in large plants. In many cases, an




economic advantage is gained by determining the facilities needed to




serve area urban development anticipated at the end of the planning




period  and by scheduling a sequence of modular developmentsof these





facilities to assure adequate capacity throughout the planning period.




Operational units would thus be  placed on line as modules so that the

-------
                                                                    34.
capacity requirements are always met while at the same time avoiding




over capacity.   The module size should be determined by analyzing




capital, and operating and maintenance costs for a range of conceivable




module sizes and design periods.  The minimum time for  design and con-




struction of a module and the  type of projected growth place a lower




limit on the projection period for determining module size.  Five years




measured from the date of anticipated  completion of construction is a




suggested lower limit.  This is judged to be the minimum  time required




to design, fund, and construct a module.




        In general,  because of the uncertainty  attached to long-term




population projections and the problems of planning in a dynamic environ-




ment,  the projection period for a module should be inversely related to




expected demand growth.  For a community expecting virtually no addition-




al treatment requirements, a projection period of up to 25 years may be




acceptable for  facilities. In this case  the module projection period




may coincide with the planning period.  For a community  which expects




to grow significantly,  a module projection period of more than ten to




fifteen  years is usually imprudent.   Similarly, module design lives




should  be inversely related to the level of interest rates.







Interceptor Sewers




        Staged  development of interceptor sewers  involves two different





concepts--the  modular development  of a given line, and the extension of

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                                                                     35.
lines as the service area grows.  Because of the nature of its construc-




tion, a given interceptor sewer is not as readily adapted to modular




construction as a treatment plant.




       In an urban area with a high rate of growth, however, stageddevel-




opment of an interceptor sewer including the development of parallel lines




should be considered and may be  justified in terms of deferring invest-




ments until needed, protecting against the uncertainty of long-term waste-




water projections,  and providing  the flexibility to adjust to unforeseen




changes in growth patterns within the urban area.  This is particularly




true during periods of high interest rates because a substantial portion




of interceptor costs result from debt service.  Furthermore, the exis-




tence of a large unused capacity in an interceptor line can,  in the absence




of a sound land-use plan and zoning,  induce intensive development incon-




sistent with good land use practices  and the public desire.




       For areas of high anticipated growth, design lives of interceptor




sewers of more than 20 to 25 years may not be prudent.  Parallel  lines




need not be constructed on the same  right-of-way. Alternate routes




can be selected for future development.  If plans call for the development




of two or  more parallel lines within  a right-of-way, adequate safeguards




will be required to control other  possible uses of the right-of-way.

-------
            APPENDIX   A
     Review Questions for Planning
Municipal Wastewater Treatment Facilities

-------
                                                                     37.
                   Review Questions for Planning
             Municipal Wastewater  Treatment Facilities
                    Projecting Waste-water Flows

Existing Flows

       Review and evaluation  of the  existing wastewater flows should
provide answers to several questions, including:

1.  Is there excessive infiltration into the system?

2.  Are there illegal storm water connections,  and is so,  what is
   being done about them ?

3.  Are sewer ordinances adequate and are they enforced?

4.  Are reported waste flows reasonable and are they based on
   actual in-plant measurements ?

5.  Are reported per capita waste loadings representative?

6.  How were they determined and is the method defensible?

Population

       In projecting population growth, these questions should be
answered:

1.  Are projected population growth rates realistic?

2.   What is their basis?

3.  Do the figures distinguish  between total population and sewered
   population?

4.  How does the projection compare with existing data?

5.  If discrepancies exist,  what caused them?

6.  What, if any,  land use constraints were considered in the population
    projections?

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                                                                     38,
Industry

       In projecting future wastewater flows  planners should consider
questions concerning industrial connections to the municipal system,
such as:

1.  Do already connected industrial sources expect their discharges
    to increase, decrease, or remain constant?

2.  Will the nature of discharges from connected industries change?

3.  What are the prospects of unconnected industries hooking up with
    the municipal system in the future?

4.  What are the prospects of new industries  locating in the area, and
    what will this mean for industrial service as well as increased
    domestic service?
          Assembling a Wastewater Systems Configuration

       During the system selection process, the planner examines
these questions:

1.  Has upgrading of existing facilities been considered?  What are
    the advantages and disadvantages?

2.  Has regionalization of facilities been considered?

3.  Has a combined  municipal-industrial waste treatment  system been
    considered ?

4.  Has recycling been considered?

5.  Has a soil disposal system been considered?

6.  What legal and other institutional methods of regulating waste dis-
     charges,  reducing collection costs,  etc.  were considered?

7,  Are cost estimates presented for all feasible alternatives, and
    are they consistent with generalized cost curves for the area?

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                                                                     39.
Combined Municipal-Industrial Systems

       The issue of whether or not industrial wastes should be treated
separately or served by the municipal system turns upon how the
following questions are answered:

1.  Is the industry interested in having its wastes treated by the
    municipal system?

2.  What is the quantity and nature of the industry's discharges?

3.  Are in-plant changes  to minimize waste possible?

4.  What pretreatment requirements are necessary before  discharge
    into the municipal system?

5.  Has water recycling been investigated?

6.  Has product recovery been investigated?

7.  Has the analysis of alternatives included examination of the
    total pollution abatement costs associated with separate,  partial-
    ly integrated,  and totally integrated municipal-industrial systems?

Individual vs. Central Treatment Systems

       The following questions are designed to determine if soil
absorption units or a centralized treatment system is needed:

1.  Are there problems associated with continuing to add septic tanks
    within the service area?

2.  Can these problems be  solved  with a community-operated program
    of renovation, proper design and reinstallation of drain fields,
    and scheduled maintenance?

3.  Is groundwater protected?

4.  Are dwellings clustered in the service area?

5.  What are the advantages,  if any, in installing sewers and  a central
    treatment plant in a  community not now sewered in terms of meeting
    water quality standards,  health and other environmental impacts,
    overall community goals,  and capital-operating costs?

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                                                                      40,
6.  Can a small community operate a relatively complex sewage treat-
    ment plant at an acceptable level of effectiveness and reliability?
             Selecting the Treatment Process

Upgrading the Present Facility

        Questions pertaining to the upgrading or expansion of treatment
plants:

1.  Does  an immediate water quality problem exist and does the plan
    include an interim solution?

2.  Can the problem be met during the interim period through upgrading
    of existing facilities?

3.  Do  the alternative solutions incorporate upgrading or expanding
    the  existing treatment facilities?

Reliability and Flexibility

        To determine performance  reliability the  planner should ask:
                                                               i
1.  Are the facility performance  requirements necessary to meet
    water quality standards and other defined goals clearly specified
     for the planning period?

2.  Does  the comparison of alternative solutions  recognize differences
    in reliability of performance  among  the alternatives?

3.  Were these differences considered in selecting the recommended
    solution?

        To include flexibility in his plan,  the planner should determine:

1.  If economic and  social  factors and goals change, can in-stream
    disposal be readily converted to land-based disposal?

2.  Do  the treatment sites  include adequate space or allow  additional
    land acquisition  to permit process expansions or changes?

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                                                                     41.
Reuse of Wastewater

       Some planning questions pertinent to wastewater reuse:

1.  Are water resource problems identified?

2.  Is there a limited water  resource in the area, and is this reflected
    in a demand or potential demand for wastewater reuse?

3.  Are reuse alternatives considered?

4.  Are the added costs of treatment and conveyance facilities shown?

5.  Are such costs competitive with alternative sources of water
    supply in the area for these uses?

6.  Are there advantages to  meeting water quality standards by reuse
    rather than discharge directly to a receiving stream?

7.  Conversely, would reuse lead to water deficiencies in the receiving
    stream ?

Water Disposal vs.  Land Disposal of Effluent

       Questions pertinent to land disposal of effluent

1.  Could the groundwater depletion problem be better solved through
    curtailment of withdrawals in favor of alternative water  supply
    sources ?

2.  For irrigation uses to be publicly developed, have all costs
    associated with land acquisition and relocations according to the
    Relocations Act been included,  together with evaluations of
    expected economic returns from such irrigation?

9.  Could this land be better used for other purposes?

4.  In lieu of publicly owned irrigation developments, has the option
    of selling the wastewater to private irrigation interests also
    been explored?

5.  If the recommended  solution is  an in-stream disposal of the effluent,
    can it be readily converted to a land-use disposal should economic
    and social desires change?

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                                                                      42.
Ultimate Disposal of Liquid. Sludge, and Other Wastes

       Questions pertaining to the ultimate disposal of treatment
materials:

1.  Have alternative locations and lengths of  effluent outfalls been
    considered ?

2.  Has a cost advantage been gained by outfall design or location by
    virtue of added dilution?

3.  Would transport of the treated effluent  out of the immediate area or
    hydrologic basin be a more  economical alternative, presuming
    inadequate streamflows at the proposed treatment plant  site?

4.  If sludge, debris and other wastes are  to be transported out of
    the immediate area or river basin, have  all possible  environmental
    and legal problems been investigated?

5.  What are the costs of various methods  of processing and disposal?

6.  What are the environmental impacts of those methods?

7.  Have alternative locations for disposal of the treatment  product
    (processed sludge) been identified?
                                                               ^
8.  Is there an economic market for it?

9-  If incineration is contemplated, what impact will this have on
    air quality?
               Scheduling Construction of Facilities

        The following questions are intended to determine whether the
plan or project under  review was based upon adequate consideration
of the relationship between overall facility costs (both capital and
operation) and facility design period:

1.  Is the estimated time for the plant or interceptors to reach full
    capacity reasonable in the  light of estimated growth rates and
    area characteristics?

2.  Does the plan consider modulated (stepped)  construction of individual
    components ?
3.  Are the growth rates such that modulated const ruction would be  cost
    effect ive ?

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             APPENDIX   B
Summary of National Population Trends

-------
                                                                     44.
           Summary of National Population Trends
General
       Population data contained in this Appendix may be useful in




evaluating population and associated wastewater flow projections of a




particular planning area or project service area.  The data provide




a measure of recent growth experience for regions, States, and local-




ities which may be compared to short-term growth rates for a




a particular area.  The use of this data should not be considered valid




for long-term trends in that such growth would likely be influenced  by




changing economic and demographic conditions of the area.  Many




regions, States,  and areas  can be expected to experience a long-term




reduction in population growth rates similar to that anticipated for




the entire nation.  This decline should be factored into the long-term




projections for a particular area, if appropriate.







Metropolitan Areas




        Table I contains the growth rates that occurred during the 1960's




for each of the States.  Similarly,  census data for Standard Metropolitan




Service Areas (SMSAs) for that decade are contained  in  Table II.  The




growth rates shown for both of these tables represent an average annual




arithmetic change in percent for the ten-year period as  related to the




I960 population.

-------
                                                                    -45.
       The Environmental Protection Agency,  in cooperation with the




Office of Business Economics,  U. S.  Department of Commerce, is pre-




paring population projections for the SMSA s  through year 2000 which




should provide guidance for the review of long-term projections of a




metropolitan area.






Non-Metropolitan Areas




       For communities in counties  which are not part of SMSAs, pop-




ulation trends for the I960 decade have been evaluated according to the size




of the principal municipality within each county.  Figures 1-10 show a




breakdown in growth trends for non-SMSA counties for each of the ten




EPA  regions.  These histograms are subdivided into three groups based




on the population of the largest municipality within the county of less than




10, 000; 10, 000  to 25, 000; and 25, 000 to 50, 000.  Each histogram bar in-




dicates the percentage of the  counties that fall within a specified range




of annual  population change.  Thus,  for each histogram,  the percentages




add up to  100.  In addition to the distribution,  the range and median of




the growth rates  are given for each of the population groups.




       A  comparison of these histograms in Figure 11 shows  that growth




rates in non-SMSA areas are generally low (or negative),  differ consider-




ably among regions, and are substantially lower than for SMSA centers.




For example, the median annual growth rate for all non-SMSA  counties




in the Denver Region was between -0.5 to -1.0 percent as compared to

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                                                                    46,
1.5 to 2.0 percent in the San Francisco Region.  Also, within a given




region the growth rates may differ considerably among the three




groups (such as the Denver Region) while other regions are experienc-




ing little differences among these groups (such as Chicago).





       These graphs are intended to be used in screening population




projections contained in  plans.

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                      Table 1.--1970 POPULATION BY STATE
                                                                                  47.
        State
 Resident
Population
    (1)
Population
 Abroad!/
  (2)
Population used
 as basis for
 apportionment
(3) = (1) + (2)
          United States.  203,184,772
                    1,580,998
                                         204,002,799
Alabama	    3,444,165           31,720              3,475,885
Alaska	      302,173            1,894                304,067
Arizona	    1,772,482           15,138              1,787,620
Arkansas....	    1,923,295           19,008              1,942,303
California	   19,953,134          145,729             20,098,863

Colorado	    2,207,259           19,512              2'226'"i
Connecticut	    3,032,217           18,476              3,050,693
Delaware	      548,104            3,824                551,928
District of  Columbia	      756,510            6,461
Florida	    6,789,443           66,259              6,855,702

Georgia	    4,589,575           37,731              4,627,306
Hawaii	      769,913           14,988                784,901
Idaho	      713,008            6,913                719,921
Illinois	   11,113,976           70,344             11,184,320
Indiana	    5,193,669           34,487              5,228,156

Iowa             .   ...    2,825,041           21,879              2,846,920
Kansas	    2,249,071           16,775              H^'ft?
Kentucky	    3,219,311           27,170              3>*M«
Louisiana	    3,643,180           28,828              3>^'?S2
Maine	      993,663           12,657              1,006,320

Maryland	    3,922,399           31,299              3>9«'!?!
Massachusetts	    5,689,170           37,506              M^'fofi
Michigan            ....    8,875,083           62,113              8,937,196
Minnesota:::	    3,805,069           28,104              3'533'"3
Mississippi	    2,216,912           16,936              2,233,848

Missouri	    4,677,399           40,635              4f7i?>™
Montana	      694,409            7,164                J°H"
Nebraska	    1,483,791           13,029              ^tot'^
Nevada	      488,738            3,658                492,396
New Hampshire	      737,681            8,603                746,284

New Jersey	    7,168,164           39,871              I'^?'^/
New Mexico	    1,016,000           10,664              1>026'"*
New York	   18,190,740           96,789             18'287'*??
North Carolina	    5,082,059           43,171              5,125,230
North  Dakota	      617,761            6,420                624,181

Ohio	   10,652,017           78,183            .10,730,200
Oklahoma	    2,559,253           26,233              2,585,486
Oregon	    2,091,385           19,425              2,110,810
Pennsylvania	   11,793,909           90,405             11,884,314
Rhode Island	      949,723            h,075                957,798

South Carolina	    2,590,516           26,804              2,617,320
South Dakota	      666,257            6,990                673'2"
Tennessee	    3,924,164           36,896              3'9"'0'?
Texas      	   11,196,730          102,057             11,298,787
Utah	    1,059,273            8,537              1,067,810

Vermont	      444,732            3,595                448,327
Virginia             .  .    4,648,494           42,248              4,690,742
Washington.'.	    3;409,169           34,318              3>4~'t?7
West Virginia	    1,744,237           19,094              1,763,331
Wisconsin	    4,417,933           29,080              4,447,013
Wyoming	      332,416            3,303                335,719
I/ Includes: (a) Members of the  Armed Forces; (b)  Civilian employees of any tederai
   department or agency who are citizens of the United  Stater- or who have a home
   State; (c) Spouses and children who are living abroad ^^^"""-^"^oups
   in groups (a) and (b); (d) Other relatives living abroad with persons in groups
   (a) and (b) who are citizens of the United States or have a home  State.
2/ Excludes the District of Columbia. The total including the District of Columbia
   is 204,765,770.

-------
                                                                                    48.
                               TABLE 2 - POPULATION CHANGE
                        STANDARD  METROPOLITAN STATISTICAL AREAS
                                      1960-70


                                        POP 70      POP 60      CHG 60-70  ANN  PCT  CHG

ABILENE, TEX.                           114.0       120.4          -6.4          -0.5
AKRON, OHIO                             679.2       605.4          73.8           1.2
ALBANY, GA.                              89.6        75.7          13.9           1.8
ALBANY-SCHENECTADY-TROY, N.Y.            720.8       657.5          63.3           1.0
ALBUQUERQUE, N.M.                        315.8       262.2          53.6           2.0

ALLENTOWN-BETHLEHEM-EASTON,  PA.-N.J.     543.5       492.2          51.3           1.0
ALTOONA, PA.                            135.4       137.3          -1.9          -0.1
AMARILLO, TEX.                          144.4       149.5          -5.1          -0.3
ANAHEIM-SANTA ANA-GARDEN GROVE, CALIF.  1420.4       703.9         716.5          10.2
ANDERSON, IND.                          138.5       125.8          12.7           1.0

ANN ARBOR, MICH.                        234.1       172.4          61.7           3.6
APPLETON-OSHKOSM,  WIS.                   276.9       232.0          44.9           1.9
AUGUSTA, GA. -S.C.                      253.5       216.6          36.9           1.7
AUSTIN, TEX.                            295.5       212.1          83.4           3.9
ASHEVILLE, NC.                          145.1       130.1          15.0           1.2

ATLANTA, GA.                           1390.2      1017.2         373.0           3.7
ATLANTIC CITY, N.J.                     175.0       160.9          14.1           0.9
BAKERSFIELD, CALIF.                     329.2       292.0          37.2           1.3
BALTIMORE, MD.                         2070.7      1803.7         267.0           1.5
BATON ROUGE, LA.                        285.2       230,1          55.1           2.4

BAY CITY, MICH.                         117.3       107.0          10.3           1.0
BEAUMONT-PORT ARTHUR-ORANGE, TEX.       315.9       306.0           9.9           0.3
BILLING?, MONT.                          87.4        79.0           8.4           1.1
BILOXI-GULFPORT, MISS.                   134.6       119.5          15.1           1.3
BINGHAMTON, N.Y. -PA.                   302.7       283.6          19.1           0.7

BIRMINGHAM, ALA.                        739.3       721.2          18.1           0.3
BLOOMINGTON,-NORMAL, ILL.               104.4        83.9          20.5           2.4
BOIS CITY, IOWA                         112.2        93.5          18.7           2.0
BOSTON, MASS.                          2753.7      2595.5         158.2           0.6
BRIDGEPORT, CONN.                        389.2       338.0          51.2           1.5

BRISTOL, CONN.                           65.8        54.5          11.3           2.1
BROCKTON, MASS.                         189.8       149.5          40.3           2.7
BROWNSVILLE-HARLINGEN-SAN BENITO.TEX.    140.4       151.1         -10.7          -0.7
BRYAN-COLLEGE STATION,  TEX.               58.0        44.9          13.1           2.9
BUFFALO, N.Y.                          1349.2      1306.9          42.3           0.3

CANTON, OHIO                            372.2       340.3          31.9           0.9
CEDAR RAPIDS, IOWA                      163.2       136.9          26.3           1.9

-------
                                                                                   49.
                                         POP 70
            POP 60
           CHG 69-70  ANN PCT CHG
CHAMPAIGN-URBANA, ILL.
CHARLESTON, S.C.
CHARLESTON, W. VA.

CHARLOTTE, N.C.
CHATTANOOGA, TENN.-GA.
CHICAGO, ILL.
CINCINNATI, OHIO
CLEVELAND, OHIO

COLORADO SPRINGS, COL.
COLUMBIA, S.C.
COLUMBIA, MO.
COLUMBUS, GA.-ALA.
COLUMBUS, OHIO

CORPUS CHRISTI, TEX.
DALLAS,TEXAS
DANBURY, CONN.
DAVENPORT-ROCK ISLAND-MOLINE,IOWA-ILL.
DAYTON, OHIO

DECATUR, ILL.
DENVER. COLO.
DES MOINES, IOWA
DETROIT, MICH.
DUBUQUE, IOWA

DULUTH-SUPERIOR, MINN-WIS.
DURHAM, N.C.
EL PASO, TEXAS
ERIE. PA.
EUGENE, OREGON

EVANSVILLE, IND.-KY.
FALL RIVER, MASS. -R.I.
FARGO-MOORHEAD, N.D. -MINN.
FAYETTEVILLE.N.C.
FITCHBURG-LEOMINSTER, MASS.

FLINT.MICH
FORT SMITH, ARK.-OKLA.
FORT UAYNE, IND.
FORT WORTH, TEXAS
FRESNO, CALIF.
163.3
303.9
229.5
409.4
304.9
6978.9
1384.9
2064.2
236.0
322.9
80.9
238.6
916.2
284.8
1555.9
78.4
362.6
850.3
125.0
1227.5
286.1
4199.0
90.6
265.4
190.4
359.3
263.7
213.4
232.8
150.5
120.2
212.0
97.2
496.7
160.4
280.5
762.1
132.4
254.6
252.9
316.8
283.2
6220.9
1268.5
1090.5
143.7
260.8
55.2
218.0
754.9
266.6
1119.4
54.3
319.4
727.1
118.3
929.4
266.3
3762.4
80.0
276.6
155.0
314.1
250.7
162.9
222.9
138.2
106.0
148.4
90.2
416.2
135.1
232.2
573.2
               30.9
               49.3
              -23.4

               92.6
               21.7
              758.0
              116.4
              154.7

               92.3
               62.1
               25.7
               20.6
              161.3

               18.2
              436.5
               24.1
               43.2
              123.2

                6.7
              298.1
               19.8
               436.6
               10.6

              -11.2
               35.4
               45.2
               13.0
               50.5

                9.9
               12.3
               14.2
               63.6
                7.0
                           80,
                           25,
                           48,
                          188.
413.1
365.9
47.2
                                         2'. 3
                                         1.9
                                        -0.9

                                         2;9
                                         0.8
                                         1.2
                                         0;9
                                         0.8
                                         6.4
                                         6.4
                                         2.4
                                         4.7
                                         0.9
                                         2.1

                                         0.7
                                         3.9
                                         4.4
                                         1.4
                                         1.7

                                         0.6
                                         2.2
                                         0.7
                                         1.2
                                        -0.4
                                         2.3
                                         1.4
                                         0.5
                                         3.1
0.9
1.3
4.3
0.8

1.9
Ii9
2.1
3.3
1.3

-------
                                            50.
POP 70
POP 60
CHG 60-70   ANN PCT CHG
FT. LAUDERDALE-HOLLYWOOD,  FLA.
GADSDEN, ALA.
GAINESVILLE, FLA.
GALVESTON-TEXAS CITY, TEX.
GARY-HAMMOND-EAST CHICAGO, IND.

GRAND RAPIDS, MICH.
GREAT FALLS, MONT.
GREEN BAY, WIS.
GREENSBORO-WINSTON-SALEM-HIGH POINT,NC.
GREENVILLE, S.C.

HAMILTON-MIDDLETOWN, OHIO
HARRISBURG, PA.
HARTFORD, CONN.
HONOLULU, HAWAII
HOUSTON, TEXAS

HUNTINGTON-ASHLAND, W. VA.-KY.-OHIO
HUNTSVILLE, ALA.
INDIANAPOLIS, IND.
JERSEY CITY, N.J.
JACKSON, MICH.

JACKSON, MISS.
JACKSONVILLE, FLA.
JOHNSTOWN, PA.
KALAMAZOO, MICH.
KANSAS CITY, MO.-KAN.

KENDSHA, WIS.
KNOXVILLE, TENN.
LA CROSSE, WIS.
LAFAYETTE, LA.
LAFAYETTE, W. LAFAYETTE, IND.

LAKE CHARLES, LA.
LANCASTER, PA.
LANSING, MICH.
LAREDO, TEXAS
LAS VEGAS, NEV.

LAWRENCE-HAVERHILL, MASS.-N.H.
LAWTON, OKLA.
LEWISTON-AUBURN, ME.
LEXINGTON, KY.
LIMA, OHIO
620.1
94.1
104.8
169.8
633.4
539.2
81.8
158.2
603.9
299.5
226.2
410.6
663.9
630.5
1985.0
253.7
228.2
1109.9
609.3
143.3
258.9
528.9
262.8
201.6
1256.6
117.9
400.3
80.5
111.7
109.4
145.4
319.7
378.4
72.9
273.3
232.4
108.1
72.5
174.3
171.5
333.9
97.0
74.1
140.4
573.5
461.9
73.4
125.1
520.2
255.8
199.1
371.7
549.2
500.4
1418.3
254.8
153.9
944.5
610.7
132.0
221.4
455.4
280.7
169.7
1092.5
100.6
368.1
72.5
84.7
89.1
145.5
278,4
298.9
64.8
127.0
199.1
90.8
70.3
131.9
160.9
                          286.2
                           -2.9
                           30
                           29
                  ,7
                  ,4
                           59.9

                           77.3
                            8.4
                           33.1
                           83.7
                           43.7

                           27.1
                           38.9
                          114.7
                          130.1
                          566.7

                           -1.1
                           74.3
                          165.4
                           -1.4
                           11.3

                           37.5
                           73.5
                          -17.9
                           31.9
                          164.1

                           17.3
                           32.2
                            8.0
                           27.0
                           20.3

                           -0*1
                           41.3
                           79.5
                            8.1
                          146.3

                           33.3
                           17.3
                            2.2
                           42.4
                           10.6
                  8.6
                 -0.3
                  4.1
                  2.1
                  1.0

                  1.7
                  1.1
                  2.6
                  1.6
                  1.7

                  1.4
                  1.0
                  2.1
                  2.6
                  4.0

                 -0.0
                  4.8
                  1.8
                 -0.0
                  0.9

                  1.7
                  1.6
                 -0.6
                  1.9
                  1.5

                  1.7
                  0.9
                  1.1
                  3.2
                  2.3

                 -0.0
                  1.5
                  2.7
                  1.3
                 11.5

                  1.7
                  1.9
                  0.3
                  3.2
                  0.7

-------
                                                                                  51.
                                         POP  70
              POP   60
             CHG 60-70  ANN PCT CHG
LINCOLN, NEBR.
LITTLE ROCK-NORTH LITTLE ROCK, ARK
LORAIN-ELYRIA, OHIO
LOS ANGELES-LONG BEACH, CALIF.
LOUISVILLE, KY.-IND.

LOWELL, MASS.
LUBBOCK, TEX.
LYNCHBURG, VA.
MACON, GA.
MADISON, WIS.

MANCHESTER, N.H.
MANSFIELD, OHIO
MC ALLEN-PHARR-EDINBURG, TEX.
MEMPHIS, TENN.-ARK.
MERIDEN, CONN.

MIAMI, FLA.
MIDLAND, TEX.
MILWAUKEE 6 WIS.
MINNEAPOLIS-ST. PAUL, MINN.
MOBILE, ALA.

MODESTO, CALIF.
MONROE, LA.
MONTGOMERY, ALA.
MUNCIE, IND.
MUSKEGON-MUSKEGON HGTS. MICH.
NASHVILLE, TENN.
NASHUA, N.H.
NEWARK, N.J.
NEW BEDFORD, MASS.
NEW BRITAIN, CONN.
NEW HAVEN, CONN.,
NEW LONQON-GROTON-MORWICH, CONN.
NEWPORT NEWS-HAMPTON, VA.
MEW ORLEANS, LA.
NEW YORK, N.Y.

NORFOLK, PORTSMOUTH, VA.
NORWALK, CONN.
ODESSA, TEX.
OGDEN, UTAH
OKLAHOMA, OKLA.
168.0
323.3
256.8
7032.1
826.6
212.9
179.3
123.5
206.3
290.3
108.5
130.0
181.5
770.1
56.0
1267.8
65.4
1403.9
1813.6
376.7
194.5
115.4
201.3
129.2
157.4
540,9
66.5
1856.6
152.6
145.3
355.5
208.7
292.2
1046.5
155.3
271.9
217.5
6038.8
725.1
164.2
156.3
110.7
180.4
222.1
102.9
117.8
180.9
674.6
51.9
935.0
67.8
1278.8
1482.0
363.4
157.3
101.7
199.7
110.9
149.9
463.6
45.0
1689.4
143.2
129.4
320.8
171.0
244.5
907.1
11528.6

  680.6
  120.1
   91.8
  126.3
  640.9
10694.1

  578.5
   96.8
   91.0
  110.7
  511.8
                            12.7
                            51.4
                            39.3
                           993.3
                           101.5

                            48.7
                            23.0
                            12.8
                            25.9
                            68.2

                             5.6
                            12.2
                             0.6
                            95.5
                             4.1

                           332.8
                            -2.4
                           125.1
                           331.6
                            13.3

                            37.2
                            13.7,
                             1.6-
                            18.3
                             7.5

                            77.3
                               ,5
                               ,2
                 21,
                167,
                  9.4
                 15.9
 34.7
 37.7
 67.7
139.4
834.0

102.1
 23.3
  0,8
 13.6
129.1
 0.8
 1.9
 1.8
 1.6
 1.4

 3.0
 1*5
 1.2
 1.4
 3.1

 0.5
 1.0
 0.0
 1.4
 0.8

 3.6
-0.4
 1.0
 2.2
 0.4

 2.4
 1.3
 0.1
 1.7
 0.5

 1.7
 4.8
 1.0
 0.7
 1.2

 1.1
 2.2
 3.0
 1.5
 0.8

 1.8
 2.4
 0.1
 1.4
 2.5

-------
                                                                                   52.
                                        POP 70
POP  60  CHG 60-70    ANN PCT CHG
OMAHA, NEBR. IOWA
ORLANDO, FLA.
OWENSBORO, KY.
OXNARD-CONN.
PATERSON-CLIFTON-PASSAIC,  M.J.

PENSACOLA, FLA.
PEORIA, ILL.
PETERSBURG-COLONIAL  HEIGHTS,  VA.
PHILADELPHIA,  PA.
PHOENIX, ARIZ.

PINE BLUFF, ARK.
PITTSBURG, PA.
PITTSFIELD, MASS.
PORTLAND, ME..
PORTLAND, ORE.-WASH.

PROVIDENCE-PAWTUCKET-WARWICK, R.I.  MASS
PROVO-OREM, UTAH
PUEBLO, COLO.
RACINE, WIS.
RALEIGH, N.C.

READING, PA.
RENO, NEV.
RICHMOND, VA.
ROANOKE, VAB
ROCHESTER, MINN.

ROCHESTER, N.Y.
ROCKFORD, ILL.
SACRAMENTO, CALIF.
SAGINAW, MICH.
SALEM, ORE.

SALINAS-MONTEREY, CALIF.
SALT LAKE CITY, UTAH
SAN ANGELO, TEX.
SAN ANTONIO, TEX.
SAN BERNARDINO-RIVERSIDE-ONTARIO,  CAL.

SAN DIEGO, CALIF.
SAN FRANCISCO-OAKLAND, CALIF.
SAN JOSE, CALIF.
SANTA BARBARA,  CALIF.
SANTA ROSA,, CALIF.
541.5
428.0
79.5
376.4
1358.8
243.1
342.0
128.8
4617.9
968.5
85.3
2401.2
79.9
141.6
1009.1
914.1
137.8
118.2
170.8
228.5
296.4
121.1
518.3
181.4
84.1
882.7
272.1
800.6
219.7
186.7
250.1
557.6
71.0
864.0
1143.1
1357.9
3109.5
10G4.7
264.3
204.9
457.9
318.5
70.6
199.1
1186.9
203.4
313.4
106.7
4342.9
663.5
81.4
2405.4
76.8
139.1
821.9
821.1
107.0
118.7
141.8
169.1
275.4
84.7
436.0
158.8
65.5
73.6
230.1
625.5
190.8
147.4
198.4
447.8
64.6
716.2
809.8
1033.0
2648.8
642.3
169.0
147.4
                  .6
                  ,5
 83.
109.
  8.9
177.3
171.9

 39.7
 28.6
 22.1
475.0
305.0

  3.9
 -4.2
  2.9
  2.5
187.6

 93.0
 30.8
 -0.5
 29.0
 59.4

 21.0
 36.4
 82.3
 22.6
 18.6

150.1
 42.0
175.1
 28.9
 39.3

 51.7
109.8
  6.4
147.8
333.3

324.9
460.7
422.4
 95.3
 57.5
 1.8
 3.4
 1.3
 8.9
 1.4

 2.0
 0.9
 2.1
 1.1
 4.6

 0.5
-0.0
 0.4
 0.2
 2.3

 1.1
 2.9
-0.0
 2.0
 3.5

 0.8
 4.3
 1.9
 1.4
 2.8

 2.0
 1.8
 2.8
 1.5
 2.7
                              2.6
                              2.5
                                ,0
                              2.1
                              4.1
 1
                              3.1
                              1.7
                              6.6
                              5.6
                              3.9

-------
                                                                                   53.
                                         POP 70
POP 60    CHG 60-70   ANN  PCT  CHG
SAVANNAH, GA.
SCRANTON, PA.
SEATTLE-EVERETT, WASH.
SHERMAN-DENISON, TEX.
SHREVEPGRT, LA.

SIOUX FALLS, S.D.
SIOUX CITY, IOWA
SOUTH BEND, IND.
SPOKANE  WASH
SPRINGFIELD-CHICOPEE-HOLYOKE, MASS.

SPRINGFIELD, ILL.
SPRINGFIELD, OHIO
SPRINGFIELD, MO.
ST. JOSEPH, MO.
STaLOUISB MO-ILL.

STANFORD, CONN.
STEUBENVILLE-WEIRTON, OHIO-W. VA.
STOCKTON, CALIF.
SYRACUSE, N.Y.
TACOMA0 WASH.

TALLAHASSEE, FLA.
TfiMPA-ST. PETERSBURG, FLA.
TERRE HAUTE, IND.
TEXARKANA, TEX.-ARK.
TOLEDO0 OHIO-MICH.

TOPEKA, KAN.
TRENTON, N.J.
TUCSON, ARIZ.
TULSA, OKLA.TUSCALOOSA, ALA.
TUSCALOOSA, ALA.

TYLER, TEX.
UTICA-ROME, N.Y.
VALEJO-NAPA, CALIF.
VINELAND-MILLVILLE-BRID6ETON, N.J.
WACO, TEX.

WASHINGTON, D.C.-MD.-VA.
WATERBURY, CONN.
WATERLOO, IOWA
WEST PALM BEACH, FLA.
WHEELING, W, VA.-OHIO
187.8
234.1
1421.9
83.2
293.9
95.2
116.2
280.0
287.5
529.9
161.3
157.1
152.9
86.9
2363.0
206.4
165.6
290.2
635.9
411.0
103.0
1012.6
175.1
101.2
692.6
155.3
304.0
351.7
475.9
116.0
97.1
340.5
249.1
121.4
147.6
2861.1
209.0
132.9
348.8
182.7
188.3
234.5
1107.2
73.0
281.5
86.6
120.0
271.1
278.3
494.0
146.5
131.4
126.3
90.6
2104.7
178.4
167.8
250.0
563.8
321.6
74.2
772.5
172.1
91.7
630.6
141.3
266.4
265.7
419.0
109.0
86.4
330.8
200.5
106.9
150.1
2076,6
185.5
122.L
228.1
190.3
 -0.5
 -0.4
314
 10.
                 .7
                 .2
               12.4

                8.6
               -3.8
                8.9
                9.2
               35.9

               1408
               25.7
               26.6
               -3.7
              258.3

               28.0
               -2.2
               40.2
               72.1
               89.4

               28.8
              240.1
                3.0
                9.5
               62.0

               14.0
               37.6
               86.0
               56.0
                7.0

               10.7
                9.7
               48.6
               14.5
               -2.5

              784.5
               23.5
               10.4
              120.7
               -7.6
-0.0
-0.0
 2.8
 1.4
 0.4

 1.0
-0.3
 0.3
 0.3
 0.7

 1.0
 2.0
 2.1
-0.4
 1.2

 1.6
-0.1
 1.6
 1.3
 2.8

 3.9
 3.1
 0.2
 1.0
 1.0

 1.0
 1.4
 3.2
 1.4
 0.6

 1.2
 0.3
 2.4
 1.4
-0.2

 3.8
 1.3
 0.8
 5.3
-0.4

-------
                                                                                    54.
                                         POP  70
POP 60    CHG 60-70   ANN PCT CHG
WICHITA FALLS, TEX.
WICHITA, KAN.
WILKES-BARRE-HAZELTON, PA.
WILMINGTON, DEL.-N.J.-MD.
WILMINGTON, N.C.

WORCESTER, MASS.
YORK, PA.
YOUNGSTOWN-WARREN, OHIO
127.6
389.4
342.3
499.5
107.2
344.3
329.5
536.0
129.6
381.6
347.0
414.6
92.0
328.9
290.2
509.0
-2.0
7.3
-4.7
84.9
15.2
15.4
39.3
27.0
-0.2
0.2
-0.1
2.0
1.7
0.5
1.4
0.5

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              35 r
              30 -
            « 25
            u •
            e20
              15 -
              10 -
              5 -
LARGEST TOWN: 25,001 - 49,999
-

2




1








RANGE :
,..., ., 1 I"/ ?°'
MEDIAN:
1.75;
TOTAL NUMBER
OF COUNTIES
8
               LARGEST TOWN: 10,001 - 25,000
o
|20
M
I 15

O
0
H
8.
cri
W c
Pu 3


_

~




-









1







2


1



















3 3





















1




3





1











RANGE:
5.0%/ -1.0%

MEDIAN:
1.1Z
TOTAL NUMBER
OF COUNTIES
20
                LARGEST TOWN:< 10,000   5   5
PERCENT OF COUNTIES*
H* t-1 1^
Ln O Ui O
-
1

1

2

4



3
1


RANGE:
1.9%/ -1.67.
MEDIAN:
.37.
TOTAL NUMBER
OF COUNTIES
22
X ^^T'^'-'V^V r= v> u=
T3 ^ v* r" • - \ \ "O '<& 'O \P 'd
.-0 '0, >, .'el -< .. , v ^ v v \
                              'x  ^
                 AVERAGE ANNUAL PERCENT CHANGE FROM 1960 T0_1970 (LINEAR GROWTH)
             Number above bar indicates actual number of counties in category


                            FIGURE I

                       BOSTON REGION

    NON-SMSA COUNTIES, 1960-1970, POPULATION GROWTH

PERCENT OF COUNTIES BY SIZE OF PRINCIPAL CITY OR TOWN

                                55.

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                     LARGEST TOWN: 25,001 - 49,999
PERCENT OF COUNTIES*
                   30
                  20
                  10
                  40
                                                 111
                        LARGEST TOWN: lO.OOi - 25,000
                  30 -
PERCENT OF COUNTIES* 20 -
                  10 -
                                                                 3   RANGE:
     -.3%

MEDIAN:
  1.4%

TOTAL NUMBER
OF COUNTIES
    11



"


2


3


5




3



RANGE:
1.27.1 -.3%
2 -8%
TOTAL NUMBER
OF COUNTIES
15
                  60 r
                  50 -
                  40 -
PERCENT OF COUNTIES* 30 -
                  20 -
                  10 -
LARGEST TOWN :MO. 000 8
-

3
2
r







RANGE:
2.8%/ -.4%

MEDIAN:
.6%
1 i TOTAL NUMBER
ni 	 1 OF COUNTIES
II 15
^^^^^OV^^^tfv?
                                                \       -    —   -    —
                                            •*  '-o  ^  \  \  \  x
                                   -V
                       AVERAGE ANNUAL PERCENT CHANGE FROM 1960 TO 1970 (LINEAR GROWTH)

                Number above bar indicates actual number of  counties in category

                                    FIGURE 2
                              NEW YORK REGION
           NON-SMSA COUNTIES,I960-1970,POPULATION GROWTH
        PERCENT  OF COUNTIES  BY SIZE OF PRINCIPAL CITY OR TOWN
                                       56.

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                   201-
                   15 -
PERCENT OF COUNTIES*  10 -
                    5 -
                     LARGEST TOWN: 25,001 - 49,999
                                  222





-




























I













RANGE:
12.2%/ -.7-',
11 1




















MEDIAN:
.9%.
TOTAL NUMBER
OF COUNTIES
10
                   20
                   15
PERCENT OF COUNTIES* 10
  LARGEST TOWN: 10,001 - 25,000
                        8
               7
                   6
                     _2	2
                                               4    4
    RANGE:
    5.1%/ -2.9%

4   MEDIAN:
      .05%

    TOTAL NUMBER
    OF COUNTIES
        44
PERCENT OF COUNTIES*
25
                   20
                   15
                   10
                     r LARGEST TOWN :<10, 000

                                  30
                              14
                                           23
                                      20
                                               19
                                                  13
                                                    RANGE:
                                                    (,.07.1 -4.0%

                                                    MEDIAN:
                                                      -.1%
                                                                       TOTAL NUMBER
                                                              v    s    \
                                                              
-------

"0 10

15

PERCENT OF COUNTIES* 10.

5



_

4

-






3
2





2






















9



3 3



2












RANGE:
17.1%/ -1.4%
MEDIAN:
1.2%
TOTAL NUMBER
OF COUNTIES
50
                   20
                   15
PERCENT OF COUNTIES*  10
LARGEST TOWN:    10,001 - 25,000

                    30

                        25
                                      26
                                  13
                                                  19
                                                      14
                                                          10
                                                                  23   RANGE:
                                                 MEDIAN:
                                                   .7%

                                                 TOTAL NUMBER
                                                 OF COUNTIES
                                                    167
PERCENT OF COUNTIES*
                   25
                   20
                   15
                   10
                        LARGEST TOWN:   < 10,000

                                      88   89
                      12
                          18
                              40
                                  70
                                              48
                                                  30
                                                 RANGE:
                                                 7.5%A2.9%

                                                 MEDIAN:
                                                   0%

                                                 TOTAL NUMBER
                                                 OF COUNTIES
                                    v>
                                                 v>
                                                  'o
                        AVERAGE ANNUAL PERCENT CHANGE FROM 1960 TO 1970 (LINEAR GROWTH)
                       *Number above bar indicates actual nunber of counties in category
                                    FIGURE  4 ATLANTA  REGION
              NON-SMSA COUNTIES, 1960-1970,POPULATION GROWTH
          PERCENT  OF COUNTIES BY SIZE OF PRINCIPAL CITY OR TOWN
                                           58.

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                   LARGEST TOWN:  25,001 - 49,999
PERCENT OF COUNTIES*
PERCENT OF COUNTIES*  15 -
PERCENT OF COUNTIES*

20

15
10

5

I
30

25
20
15
10
5


25
20
15
10
5


.-

_

1
|
ARGEST TO

-
-


LARGEST
-
~
-
11
r> V>
'0







WN:




1
TOWN:


17

\




2


10, OC



2

«-.

36


\





1

i - ;

11



000
66





-------
PERCENT OF COUNTIES*.
LARGEST TOWN: 25.001 - 49.999
25
20

15

10

5
	
-

—
3 3 .
-

- 1






3





1













4





RANGE:
5.9%/ -2.5%
, MEDIAN:
* 1 n -.
1 1 TOTAT. N1TMRF.K
1 OF COUNTIES
1 26
                      20
                      15
PERCENT OF COUNTIES*    10
LARGEST TOWN:  10,001 -  25,000

                     17
                                      11
                         '9
                                                                        16
RANGE:
19.4%/  -2.2 %

MEDIAN:
   .4 %

TOTAL NUMBER
OF COUNTIES
    100
                          LARGEST TOWN:  < 10,000
                      20 r
                      15 -
PERCENT OF COUNTIES*    1Q -

-

24



28



52







45





44 RANGE:





39 4. OK/ -3.3 %




« 24 .. H™'









10 TOTAL NUMBER.
I 6 OF COUNTIES

                           ^>'   tf   vf   -S   -^   \     v   'o  'if   'o   '^   'o
                            '°   *S   '^   "S*  ""*   ">f   i*    ^    xx    s    V
                                   /;   /r
                            AVERAGE ANNUAL PERCENT CHANGE FROM 1960 TO 1970 (LINEAR GROWTH)
                   *Nuni>er above bar indicates actual number of counties in category

                                       FIGURE 6  DALLAS REGION
                       NON-SMSA COUNTIES, 1960-1970, POPULATION GROWTH
                     PERCENT  OF COUNTIES  BY  SIZE OF PRINCIPAL CITY OR TOWN
                                                 60.

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                        LARGEST TOWN: 25,001 - 49,999
PERCENT OF COUNTIES*
                     25 r
                     20 -
                     15  -
                     10  -
                      5  -
-
-

-

-






1







1







1



4










2 2

1














1



3



1










RANGE:
3.6%/ -1.5%
MEDIAN:
1.0%
TOTAL NUMBER
OF COUNTIES
17
 PERCENT OF COUNTIES*
                     25 i-
                     20  -
                     15  -
                      5  -
                        LARGEST TOWN:  10,001 - 25,000

-

-




10 o 10



3
2


























6 RANGE:

4










1.9%/ -1.4%
MEDIAN:
.2%

TOTAL NUMBER
OF COUNTIES
44
PERCENT OF COUNTIES*
                     25
                     20
                     15
                     10
LARGEST TOWN:<10,000

      75   74
                        10
                             35
                                          54
                                              35
                                                                            RANGE:
                                                                            4.6%/ -3.1%
                                                 TOTAL NUMBER
                                                 OF COUNTIES
                                                     329
                                                          ,    t   v    v    v
                                                      -0   t   r>   *f   >S   \
                                  1  'L   ^
                                   V,  'o,   '«
                                    tj   1>
                           AVERAGE ANNUAL PERCENT CHANGE FROM 1960 TO 1970 (LINEAR GROWTH)
                    Nun&er above bar indicates actual nunfoer of  counties in category
                                              FIGURE 7
   KANSAS CITY REGION NON-SMSA COUNTIES, 1960-1970, POPULATION GROWTH
            PERCENT OF COUNTIES BY SIZE OF PRINCIPAL CITY OR TOWN
                                                 61.

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PERCENT OF
 COUNTIES*
25


20


15


10


 5
                 LARGEST TOWN: 25,001 - 149,999
                                        2     2
     RANGE:
     6.9%/ -.7%

.1    MEDIAN:
      1.9 %

     TOTAL NUMBER
     OF COUNTIES
         12
               LARGEST TOWN: 10,001 - 25,000
25
20
PERCENT OF l5
COUNTRIES*
10
5
1
6

5

4

3 3


RANGE:
4.4%/ -1.3%
MEDIAN:
2 .05%
111 TOTAL NUMBER
11 OF COUNTIES
1 27
PERCENT OF
 COUNTIES*
               LARGEST TOWN:<10,000
20
15
10
5
'33

38

45

44

26

RANGE:
16. 0%/ -4.3%
MEDIAN:
17 -1.0%
10 g TOTAL NUMBER
1 6 5 , OF COUNTIES
11 1 1 ' ^ T ° > «* ~< 
-------
70
60

50
40
PERCENT OF
COUNTIES*
30

20

10


30

20
PERCENT OF
COUNTIES*
10


30

20
PERCENT OF
COUNTIES*
,10


~
_
LARGEST TOWN: 25,001 -
-



-

-

.



iLARGEST TOWN: 10,001 - 25
~
~
^^•JU-HB
|
- LARGEST TOWN: < 10,000

-

_
2
1 1 1 1





4
49,999












,000
3






6



















1





3









111





























RANGE:
4.7%/ 1.1%
MEDIAN:
3.1%
TOTAL NUMBER
OF COUNTIES
6
5 RANGE:

222














5.0%/ -0.5%
3




MEDIAN:
2.4%
TOTAL NUMBER
OF COUNTIES
19
10 RANGE:


5
3





3


2








8.2%/ -2.1%
MEDIAN:
1.8%
TOTAL NUMBER
OF COUNTIES
•IT
•J /
-
                                          X   V    x     v    \

                                      -o    ^   ^   ^   ^    \

                                           '
         AVERAGE ANNUAL PERCENT CHANGE FROM 1960 TO 1970 (LINEAR GROWTH)
  . Number above bar Indicates actual number of counties In category

                          FIGURE 9
                  SAN  FRANCISCO REGION
   NON-SMSA COUNTIES,I960-1970,POPULATION GROWTH
PERCENT OF COUNTIES BY SIZE OF PRINCIPAL CITY OR TOWN
                              63.

-------
20
8
g 15
8
fc, 10
o

1 5
u

"LARGEST TOWN: 25,001 - 49,999

-
i i
™

-












2












1





2











RANGE:
3.6%/ -.2%
111















MEDIAN:
1.7%
TOTAL NUMBER
OF COUNTRIES
10
30
25
20
15
10
5
"LARGEST TOWN: 10,001 -
1



25,00
,4

0
5

2 2


3

RANGE:
3.7%/ -1.3%
MEDIAN:
.4%
1 1
TOTAL NUMBER
OF COUNTRIES
19
   •20 r
    15 -
    10 -
_ LARGEST 1
6

5

OWN:<
12

10,000
13

9

12

6

3

1

6

RANGE:
4.2%/ -3.5%
MEDIAN:
-.3%
3 3 TfYTAT. N1JMRF.H
OF COUNTIES
79
                                                            \
        .AVERAGE ANNUAL PERCENT CHANGE FROM 1960 TO 1970 (LINEAR GROWTH)
   *Number above bar indicates actual number of counties in category

                       FIGURE  10
                   SEATTLE REGION
   NON-SMSA COUNTIES, I960-1970,POPULATION GROWTH
PERCENT OF COUNTIES BY SIZE  OF  PRINCIPAL CITY  OR TOWN-
                          64.

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                   PERCENT OF COUNTIES'
                                          10L .
                                           5. .
                                              Largest town: 25.OO1-49.999
                                                                              34
                                     Range:
                                   17.1%/ -3.8%
                                     Median:
                                      1.2%

                                     Total Number
                                      of Counties
                                        187
  o
  p
  (0
  I-
  (0
  z
 IT
 1-
o
ir
                                              Largest town: 1O.OO1-25.OOO
                                                                    1O4
                   PERCENT OF COUNTIES' 10. .
                   PERCENT OF COUNTIES
                                        . 10. _
                                   Range:
                                 19.4%/ -2.9%

                                   Median:
                                     O.6
                                   Total Number
                                    of Counties

                                       535
                                                       average annual percent from 196O to 197O (linear growth)
                                                  •number above bar indicates actual number of counties in category
                                                                       FIGURE 11
                                                NON-SMSA COUNTIES. 1960-1970.  POPULATION GROWTH
                                                PERCENT OF'C OUNTIES BY NATIONAL SUMMARY OF
                                                PRINCIPAL  CITY OR  TOWN
65.

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                                       fJGUREJ.2
                  COMPARISON OF NON-SMSA'S AND SMSA'S RATE
                    T    OF POPULATION CHANGE," 1960-1970
(0 •
UJ
H- ,
2 1
O ' 151
O ' 1
2
= '
o'
Q. .
O . 1O
£
UJ
5

2
O
2
u. 5
h-
z
UJ
O




—











—



I



4O5, 403 NON - SMSA COUNTIES, 196O-197O, POPULATION CHANGE
369


279.






146

1OO


















•"*•














^"^™















-—
















RANGE:
ggg h9.4%-4.3%;
— —












MEDIAN:

O%

TOTAL NUMBER OF COUNTIES
199 - i'- -.-*-.»-.*
•••Ml







2644 •

145 147 1
JSOOL fmtm
99
"~1
47

  -3l     -2    -ll     O'     1     2     3    4-     5

     AVERAGE ANNUAL PERCENT POPULATION CHANGE 196O-7O'
25] 	
VI
<
o:
5 a°'
i—
H-
^ 15,
c: '
i—
o
C-.
o
C£.
UJ
0 10

§
h-
fe
5
g
0


—

—







r1
53









24|
I^KMM



13:
^Ml_








31




















_
38









SMSA COUNTIES. 196O-197O. POPULATION CHANGE
'
RANGE:
11.5% / -O.9%
27 MEDIAN:







1.4%
TOTAL NUMBER OF SMSA'S
243
15;
12
~n 9
' — 1 6
I — I — LJ — I — I — i — j — i — i 	 1 l « — i • — i
            -1.     O     1     2'     .3     4     5678

        AVERAGE ANNUAL PERCENT POPULATION CHANGE 196O-7O

          •NUMBER ABOVE BAR INDICATES ACTUAL NUMBER OF COUNTIES IN CATEGORY

                                            66.
                                                                             10
11

-------