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15
Authorization . Permission is needed to obtain copies of cards or tapes of
information from the files. A written request must be submitted to the Fulton
County Department for official authorization. A copy of the request form is
shown in Figure 7. This request process is more of a formality than an impedi-
ment to our proceeding, however.
Georgia State Department of Public Health . The State Department of Public
Health tends to rely heavily on data supplied by the county and local health
departments. However, certain annual or special (usually one-time) studies
are undertaken by various parts of this rather large, bureaucratic organization.
There are five sources of data within the State Department of Public Health
which were contacted. They were as follows.
Biostati sties Division . For the period 1965-1970, all but a very few important
sets of data are coded by census tract. In general, the Fulton County Health
Department is a much better source for data coded on a small area basis. This
holds true for vital records and reportable disease registries.
This division did provide a directory of physicians for 1970 by county. This
medical directory classifies physicians in four categories: (1) private practice,
(2) institutional (interns not included), (3) public health, and (4) retired or
inactive. This directory contains the address where the physician is practicing
(home, institution or public facility or organization). An address matching
step would be required by hand with a street key devised for the ASCHC service
area (and comparison area). These directories will be available back to 1965.
Health and Licensure Branch (State Department of Public Health) . This
organizational unit conducts an annual survey of hospitals and nursing homes.
This data collection system is not automated, although individual questionnaires
for each facility surveyed are available going back to 1965.
We have negotiated authorization to gain access to the individual questionnaires
for the hospitals and nursing homes near the service (and comparison) area
(Grady Hospital, Georgia Baptist Hospital). We shall use clerical assistants
to abstract some basic bits of information from these questionnaires such as
data about facility capacity, types of services and equipment available, utili-
zation of services (e.g., bed occupancy), staff size and composition, and costs
for each medical facility,,
Statistics on these hospitals and nursing homes can be tracked over time as an
available health resource to the service (and comparison) area. The ASCHC has
and will continue to affect these statistics by making appropriate referrals.
An important followup to the indicator study is to evaluate the operational
statistics of these facilities to analyze any affects the referrals have on the
increase or allocation of existing resources. Also, it would be important to
determine whether ASCHC referrals have had some effect on upgrading the quality
of services (both care and availability).
Other Components, including Mental Health .
a. Comprehensive Health Planning . The Office of Comprehensive Health Planning
(OCHP) is geared to large scale areas such as city, county or metropolitan
area. It does not appear to have data filed by census tract or any other
small geographic unit. There is one study under way which, if completed
very soon by OCHP, would provide useful data about nurses in the form of a
registry.
16
FIGURE 7
GEORGIA
FULTON COUNTY
INFORMATION REQUEST AGREEMENT
The undersigned requests of Fulton County the following:
The undersigned stipulates the Information furnished will be used for:
The undersigned agrees and warrants he will not use or permit the use
of said information for any purpose other than what is stated in this
agreement nor will the use of the information infringe upon the rights
and interest of the public.
The undersigned agrees and warrants he will not assign, lease, transfer,
duplicate or otherwise permit third persons to have access to the use of
the information for any purpose other than specifically stated above.
The undersigned herewith submits a check payable to the Comptroller of
Fulton County, in advance, the sum of _ which is
the cost for preparing the information requested.
day of 19
(Name)
(Street Address)
(City) (State) "(Zip)
17
bo Mefital Health . All sources discussed in this section require authorization.
The ASCHC has a resident mental health component which is funded by the
National Institute of Mental Health. This component serves a much larger
area than the ASCHC service area. Detailed client data are available going
back to 1969.
The mental outpatient program for Grady Hospital has an.unautomated file.
Records are kept by each patient's name, address and date of first visit.
(Grady has separate files kept on a methadone program and a vocational re-
habilitation program.) This file will require clerical compilation.
There are two sources of mental inpatient data: Grady and Georgia Regional
Hospital. There is an ASCHC employee stationed in Grady's psychiatric ward.
It is her responsibility to register and follow up all mental health patients
from the catchment area. She also keeps a record of the number of patients
hospitalized in Grady's psychiatric ward.
ASCHC has reserved eight beds in the psychiatric ward at Grady for alcoholics
as well as mental health patients from the catchment area. This program has
been in operation since the summer of 1970.
The Georgia Regional Hospital (State operated) was opened in September of
1968. Information is available about patients by address and date of
admission.
There are Fulton County mental health activities which may provide some help
to the ASCHC service area. Clerical exploration of the mental health files
would be required. Authorization for this clerical activity would have to be
obtained.
The State mental health and retardation data on activities are not generally
very detailed on a small area basis, e.g., the local clinic. There are
annual reports (Division of Mental Health, Community Services Branch) issued
about outpatient psychiatric clinics on a fiscal year basis (e.g., July 1,
1969 to June 30, 1970). These data are of limited value since they are not
very detailed and the patients' origins are not indicated.
c. Atlanta Regional Commission (ARC) . This Atlanta metropolitan planning agency
is a result of an amalgamation of four organizations. One of those was the
Department of Health and Social Planning Services (the MAC health agency for
Atlanta).
This health component of ARC is also now generating an address list of
registered nurses as well as a facility information guide. This guide in-
cludes a map (and address) locating hospitals and nursing homes.
There have been two large-scale patient origin and destination studies for
hospitals in Atlanta, one for 1965 and the second for 1971.
The Atlanta Regional Commission also has complete address listings of regular
and mental hospitals, clinics, and nursing homes in Atlanta.
d. Medicare . Blue Cross and an insurance company are responsible for
administering Medicare in Atlanta. Negotiations have thus far failed to
arrange for access to medicare recipient files (by address if not name).
We shall have to explore with the Social Security Administration whether or
18
not access can be obtained. It should be noted, however, that the ASCHC keeps
statistics on users with respect to primary source of payment including medi-
care. Thus, the ASCHC operating statistics will provide useful information in
this regard.
e. Medicaid data . Medicaid data are available from the Georgia State Department
of Human Resources. The file covers a thirteen month period. Data for some
earlier periods were summarized for testimony to a Congressional Subcommittee.
Only a minimum set of characteristics o: recipients are recorded (age, sex,
race and time on welfare rolls) in the medicaid system. There may be a
problem, although not insurmountable, with identification numbers for re-
cipients. (There may be multiple counting f the same case.)
Data on providers receiving medicaid funds are available for 1971 from the
State Department of Public Health (Division of Biostatistics, Data Processing
Branch) .
In essence, then, the medicaid data are available concerning providers and
recipients for 1971. We shall explore whether or not it is feasible and
cost effective to reconstruct the corresponding medicaid information for
1967-1970. It is unclear whether a clerical effort or an attempt to recon-
struct and conduct an automated search of files for earlier periods will be
the better course of action. We are in the process of exploring authorization
and access procedures to make a final assessment.
Also, it should be indicated that the operational statistics for ASCHC include
primary source of payment, including medicaid. In this respect, vital data
will be available for the time periods over which the Center recorded such
information.
Welfare Indicators
The Fulton County Welfare Department has a considerable amount of data which is
published annually by census tract. These reports contain summary figures by census
tract about the number and characteristics of recipients by type of assistance.
There is information going back to 1965 by census tract for recipients of all Federal
programs and general public assistance.
There are considerable resource data available, such as number of case workers,
monies allocated by type of recipient service, average load per case worker, total
welfare expenditure and number and kinds of referrals. There are some data about the
food stamp and commodity programs. Most of these data are not available directly by
census tract. A substantial amount of clerical work will be programmed to collect
and summarize these data from basic records and work sheets to adapt them to usable
form.
3
The Georgia State Welfare Department was discussed in connection with medicaid in
the previous section.
The Department of Human Resources
19
Education Indicators
There are four elementary schools and two high schools in or near the service area.
The schools are attended predominantly by black students.
There are data collected by the school system providing median reading and mathematics
scores for selected grades in elementary schools. There are average and dispersion
measures of student performance in mathematics and English at the secondary level.
There is information collected concerning honor students, dropouts, vocational
enrollment, chronic absenteeism, estimated loss by level and mobility data. There
are data on number (proportion of secondary graduates) accepted in college.
There are also resource data and data about special programs such as Head Start and
the free lunch programs.
Some of these data are automated, others are summarized by hand. All of the data
require authorization from the central administration to gain access at the local
school level. There have been some special studies conducted by outside research
groups (e.g., Urban Institute) that have had no trouble obtaining the necessary
cooperation in Atlanta to gain access to the data.
Outside of the regular school programs for youngsters 5 to 19, we plan to characterize
the adult education programs, utilization and resources, library resources utilization
and newspaper readership. The kinds of specific indicators being considered are
reflected in the matrix appended to this report.
Employment/Unemployment Indicators
There are some data available at a small area level; however, there are problems of
authorization and access. Also, the nature of the State employment system is such as
to be not particularly conducive to our study requirements.
We are proceeding to explore what can be done to gain access and to utilize what data
are available on unemployment and employment. It is very likely that additional
cost will be entailed to obtain special runs or summary data only after considerable
clerical effort has been expended.
The Atlanta Regional Commission does some work on unemployment and employment figures.
We shall have no trouble gaining access to such figures, but they may not be available
or reducible to small area levels. They also are not available for the earlier years
in the series, i.e., 1965-1968.
There was a special study done in selected low-income areas in Atlanta on a sample
basis (which may be too thin to be useful for the Census Use Study).
Housing Indicators
1. Atlanta Regional Commission . This agency does an annual update of the housing
and commercial building space inventory by census tract. This update incorporates
building permit data, demolition data, and tax assessor file data regarding
commercial floor space. Printouts are available for housing by type (e.g.,
single family, duplex, multifamily and so on) going back to 1965.
2. Atlanta Housing Authority . There is a large public complex in the ASCHC service
area called the Carver Homes. It houses close to 1,000 families with about
3,800 persons.
20
The Atlanta Housing Authority collects data and has annual summaries (going back
to 1965) on the Carver Homes (and for a comparison area such as one being con-
sidered in northwest Atlanta where the Perry Homes are located which are similar
in size, age and tenant characteristics to the Carver Homes). The kinds of data
include number of families, family size, aggregate family income, source of in-
come, sex of head of household, household composition and length of tenancy.
Transportation Resource Indicators
The focus of these indicators will be to characterize transportation needs and
resources available to facilitate access of clients or potential clients to health
and social facilities and services as well as employment, cultural and educational
facilities.
The indicators will pertain to private and public transportation resources. The
Georgia Department of Motor Vehicles has registrations coded by geographic designa-
tions smaller than city or county areas. We shall use clerks to compile the necessary
data for the period 1965-1970.
With respect to public transportation resources, we shall contact the Atlanta area
public transportation companies providing buses to the service area. We shall also
clerically compile information from the Atlanta school system to characterize the
kind, age and number of buses servicing the service area for regular and handicapped
school children.
Other information on traffic capacity, flow and safety will be tapped. Motor vehicle
accident data are available for Fulton County by census tract for 1969.
Taxation Indicators
There are three major types of tax data which will provide indirect indications of
the level of living. These three types of taxes are sales, personal income and
property tax.
The sales tax data are available from the Georgia State Tax Commission by vendor, by
industry group (e.g., food and beverages, furniture and fixtures, apparel and general
merchandise, and so on) within county.
The sales tax may be used in three different ways:
1. Total receipt of sales tax--a resource indicator reflecting the amount of money
extracted on sales tax from the community by the State Tax Commission. This
might be labeled a negative resource indicator.
2. Sales tax— revenue sharing. Of the total receipts, the State Tax Commission
returns part to the municipality. This would be a reflection of an in-resource.
3. Level of living index sales. From sales tax data, the total sales by industries
can be estimated. One indicator of the level of living is the proportion of
family income which is spent on basic necessities, such as food and housing. In
general, the larger the proportion of family income spent on basic necessities,
the poorer the family. This measure can not be translated directly to total
sales. However, a rough index can be formulated by tracking the proportion of
sales dollars spent on basic commodities (e.g., food, beverages) as opposed to
the proportion spent on special purpose commodities (automotive, furniture and
fixture, contracting labor and building materials, etc.). In essence, it would
be expected that a decrease of the proportion of the total sales dollar spent on
21
basic commodities, and an increase in the proportion spent on special purpose
commodities would reflect an improving level of living.
Income tax indicators can be obtained on the number of individuals paying income tax,
amounts paid, and total taxable income. If income and employment are tracked over
time, it would be expected that an increase in the proportion of taxpayers to total
employed would be a reflection of an improvement of level of living in the community.
The purpose for tracking these indicators is to measure change in one facet of social
status (if it is changing) of populations serviced by the 0E0 program in Atlanta.
Property tax would provide a surrogate measure of socioeconomic status. Property
taxes are available by parcel from the Tax Assessor's Office. This will require a
clerical compilation effort.
Indicators of Stress on the Social System
A number of sources of possible stress or requirements for additional resources on
individual families and/or on the community have been addressed by certain indicators
discussed earlier. These indicators concern unwed mothers and their babies, and
school dropouts.
Our focus of interest in this section is on other possible, perhaps more direct,
burdens on the social system: crime and delinquency. The reason for monitoring
indicators based on crime and delinquency data is to reflect the trend in social
stress on the community. To the extent that crime and delinquency are reduced, a
corresponding increase in the level of living should be apparent.
Juvenile cases of four different kinds, reflected in the juvenile courts as of 1971,
were: (1) delinquency, (2) child supervision, (3) child neglect, and (4) neglect and
custody. All records must be reviewed manually to acquire addresses. These records
reflect the person's name, address, offense and date of offense. The child super-
vision category was first introduced in January 1971. These categories have since
been reclassified: delinquency, deprived and unruly.
Data on crimes from the Atlanta Police Department may be one of the most time consuming
to obtain. Crimes are categorized by types: homicide, burglary, larceny, robbery and
miscellaneous arrests. The last is a "wastebasket" category including arrests for
narcotics, illegal whiskey, indecency, impersonating a female, prostitution, aggra-
vated assault, prowling, lottery, violating beer and wine ordinances and juvenile
offenses.
A substantial amount of clerical effort will be allocated to compile the data from
the juvenile court and police record files.
Recreational Indicators
We are planning to characterize recreational programs, facilities and space. We have
contacted the Parks and Recreation Department of Atlanta and have been assured
cooperation.
The Parks and Recreation Department people have granted access to information
concerning programs, facilities and equipment available in or near the ASCHC target
area. The Parks and Recreation Department will provide data on staff and monies
allocated annually to the target area.
22
The Parks and Recreation Department engineers have maps and plans indicating exact
locations of indoor facilities and open space set aside for current and future public
recreational needs.
We shall be describing on the basis of these data: (1) the amount of space (e.g.,
square foot per 1,000 population) both indoor and outdoor available (day and evening),
(2) age, capacity and condition of facilities, and (3) type of facilities (e.g.,
gymnasia, public pools, meeting rooms, athletic fields, park area for walking,
picnicking and so on). We shall also review access (average distance to facility) in
the next section of this report.
Land Use and Access Indicators
We shall characterize the land use and access in and around the ASCHC target area.
The land use will reflect the land available for community use. It will also in-
directly reflect potential sources of air pollution, noise, odor and vibration.
It may also give some indication of potential places of employment in the area.
The Atlanta Department of Planning, the Tax Assessor's Office and the Atlanta
Regional Commission will provide all of the data and maps needed to characterize the
current land use, projected uses, and past uses at specified times in the period,
1965-1970 and beyond.
The access indicators refer to average distance to various community facilities and
resources (e.g., schools, ASCHC, ounty public health centers, public transportation,
libraries and the like). These indicators will be calculated from formulas we shall
develop. The basic maps and scales will be provided by the Atlanta Department of
Planning.
23
Part C
POPULATION ESTIMATES AND DENOMINATORS
FOR SOCIAL AND RESOURCE INDICATORS
Part B of this report dealt with a whole range of data available for indicator
development in the context of the conceptual areas to be encompassed by the project.
Many of the data sources inventoried in Section B can be extracted to derive self-
contained indicators. That is, both numerator and denominator data are available
from these sources. Examples include proportion of births to unwed mothers, pro-
portion of low birth weight babies, components of public school enrollment, average
welfare stipend, total number of hospital beds and average hospital bed occupancy
and the like.
While many of our indicators are self-contained, there are many others which will
require population or housing denominators to make them meaningful. For example,
the total number of families receiving public assistance in itself has very little
meaning. It becomes meaningful only when it is related to the total number of
families in the community. Similarly, morbidity prevalence rates require population
denominators to be meaningful as an absolute increase in venereal disease, for
example, especially if the increase is small, does not necessarily indicate an in-
crease in the prevalence rate. Only when the number of venereal disease cases is
related to total population at risk can an increase of the prevalence rate be
inferred. Although many more examples could be given, the point is that to generate
an indicators program to monitor social change, it is inevitably necessary to get
into the business of estimating population and housing denominators for noncensus
years.
Our approach to population denominators will be similar to that used in obtaining
data; namely, we will use existing estimates where these are available, and develop
estimates of gross population and housing counts where they are not. Neither of
these approaches will assure complete precision in developing denominators. However,
we believe it would be even less accurate to use the same population denominator base
(e.g., census data) for each of the years for which indicators series will be
developed in stage II.
In terms of existing population estimates, the Atlanta Regional Commission is
responsible for making estimates on an annual basis. (These estimates are based on
an updated housing inventory based on building permits and demolition data.) Our
initial task in this connection will be to determine whether this estimating pro-
cedure will provide suitable accuracy at the small area level for Census Use Study
purposes. If not, we shall have to develop an alternative method to suit our needs.
In the event that we have to develop alternative population estimating procedures,
we will have to choose between methodologically detailed procedures or simple ex-
trapolation methods (from census data) which will require making some rather tenuous
assumptions.
The first approach, developing population estimates by detailed procedures, will,
for example, necessitate getting birth and death data as the first component of the
equation. The second component—to account for the migration factor—will involve
obtaining school enrollment data and perhaps drivers' licenses and utility data. To
24
get a handle on total housing units, it will be necessary to obtain housing permit
and demolition data. With these data inputs, the approach will then be to calculate,
by years, the changes taking place between the 1960 and 1970 Censuses. For example,
if there are 400 housing units more in 1970 than in 1960, the building permits and
demolition data would be examined to find out which of the years between 1960 and
1970 contain the peaks or valleys in construction activities.
The second approach involves developing a less detailed procedure. This approach
would involve extrapolating estimates linearly from 1960 to 1970 on the basis of
population and housing census benchmark data. This procedure involves two basic
assumptions. The first is that the changes occurring between 1960 and 1970 occurred
in equal proportions for each year contained within the decade. For example, if
there were 90 more housing units in 1970 than in 1960, the assumption would be that
10 housing units were built in each of the 9 noncensus years. The second assumption,
which is not as detrimental, is that equally distributed change is gross rather than
net change. In the example just cited, we would not know whether the ten housing
units which we assume came into existence during a given year are the result of
demolishing 100 units and then building 110, or simply building 10 units without any
demolition.
The same approach used for the Atlanta Southside Comprehensive Health Center service
area will also be used for the comparison area (still to be selected).
More analysis will be undertaken before an estimating procedure is selected. To the
extent that the procedures ultimately chosen will yield only rough estimates, caution
will be exercised in interpretation and reportage of the results of analysis.
25
Part D
STUDY DESIGN FOR ATLANTA STAGE II IMPLEMENTATION
GENERAL
Let us review the stage II implementation effort in Atlanta. In simplified form,
stage II consists of three major steps:
1. collect and summarize data
2. design, develop and initially implement the health, social and resource
indicator system, and
3. analyze, interpret and report initial results.
In Atlanta, the health center serves a closed system—a specified area precisely de-
fined in terms of four census tracts. A comparison area will be selected which is
as similar as feasible to the target area but not having a health center like ASCHC.
The indicator system will have as its basic input a large set of varied indicators.
An initial set of indicators is organized by subject at the end of this section.
This initial set represents an ideal to be sought. It is likely, however, that many
of these indicators will be unattainable because of prohibitive costs, time, in-
accessibility, incomplete data, etc.
This set or matrix of indicators will be structured from study site to site to pro-
vide some minimal set of indicators common to all sites (e.g., Atlanta, Phoenix).
For a variety of reasons, there will be some indicators which will be collected in
only a given site and may, in many instances, reflect the uniqueness of a type of
locality. For example, there will be certain indicators unique to urban sites,
others intrinsic only to rural sites. There may also be indicators peculiar only to
each individual site under study.
There will be considerable conceptual development concerning at least certain of the
indicator families. For example, a subset of indicators listed under the rubric of
Public Housing Indicators would reflect not only housing quality considerations, but
would indicate certain characteristics of the tenant population which may be differ-
ent from the other residents in the target area. For example, the tenant population
in the Carver Homes (public housing project in the ASCHC target area) are predomi-
nantly headed by females (60-75 percent of them, over the period 1965-1970), with a
large average number of minors per family, and so on. This profile is substantially
different from the typical characteristics of the other residents in the ASCHC target
area.
We may have to develop concepts and procedures adequately to interrelate indicator
areas. For example, transportation resources (indicators) available to the service
area may have to be related to employment indicators (e.g., relating places of em-
ployment by type of occupation and place of residence to investigate so-called
reverse commuting patterns).
26
We may get into estimating demand and comparing it to estimates of services provided
whether in the field of health, transportation, or a number of indicator fields or
subfields.
It must also be kept in mind that the indicator system is being developed to provide
objective measures in temporal (longitudinal trends) and spatial (small area analysis)
dimensions which will be brought to bear (in stage III) on health center policy and
overall effectiveness.
BASIC STUDY DESIGN STEPS
The study design for the Atlanta stage II implementation involves the following tasks
which are indicated below and described in greater detail in the following sections
of this report:
Obtain data from published sources, tapes, punchcard files, on-line summaries
at terminals, work sheets, or basic records.
Process data, including coding, error checking, keypunching and other
clerical tasks.
Create a summary data tape.
Design and construct social/resource indicator matrices to be applied over
the time period for which data are available to each of the conceptual areas
mentioned in Part B of this report.
Prepare report describing stage II activities and results.
Develop procedures for relating operations data to the indicator study.
Move to stage III
Obtaining Data
Acquisition of data will be dependent, as we indicated earlier, on not only
availability of published reports and work sheets but, in addition, on processing
basic data ourselves and/or paying some local agencies to do the processing for
us. Working with basic data will also involve requesting and obtaining the authori-
zation of agency directors to have access to basic record files.
Processing Data
If we are working with published materials or work sheets, the processing will simply
involve getting the appropriate data punched on cards, requiring a classification
scheme. Where summarized, basic data are required, it will be necessary to have
these data tabulated for us and to physically code the information obtained from
noncomputer-readable basic records. Coded data would need to be keypunched.
Quality control procedures will be instituted for both the coding and keypunch
operations. In addition, data on tapes and/or cards will need to be extracted by
the use of computer programs being developed in Los Angeles.
27
Creation of a Summary Data Tape
Creating a finished summary tape from which the statistics needed for the indicator
matrices will be derived will involve the following two general procedures:
1. Create codes for each census tract or possibly smaller geographic units to be
contained in the study. The more detailed the geographic focus, the more codes
we will need to create. The geocodes will be the basic unit to which the data
refer.
2. Derive social, health and resource indicators for each time period for each of
the conceptual areas for the study. The input will be numerators and denomina-
tors. This operation will involve calculating indicators for each geographic
unit as well .
The finished summary tape would then contain under each conceptual area the derived
indicators for each time period and geocoded units in the study. The tape can be
tabulated by each conceptual area to yield the social, health and resource indicators
to be contained in the matrices.
Design and Construction of Indicators Matrices
The basic structure of the matrix for each conceptual area was alluded to in Part B
of this report. The matrix cells arranged below by conceptual areas make this
structure explicit. However, it should be noted that the indicators in these matrices
are subject to modification, depending on our success in obtaining the appropriate
data or tapping unanticipated data sources. Indicators are expressed in terms common
to public health practice where practicable.
It should be noted that the validity of these proposed indicators for the matrix, as
indices of health, are affected by errors in diagnosis, by incomplete reporting and
so on, reflecting numerous problems ranging from the clerical to difference in pre-
vailing interests and emphasis. Changes in definition, as well, are often rather
arbitrary. Lastly, perhaps the greatest ultimate deterrent to the reliability of
community health indicators concerns inadequate or incorrect information on the
particular population served or at risk. This is most often evidenced by the speci-
fication of categories for particular indicators. Often, it is necessary to obtain
more specific information concerning the nature of the indicator.
It is our intention to ascertain as quickly as possible the indicators which evidence
the greatest reliability and validity. Additionally, we will determine the severity
of limitations to the remaining indicators so that the indicator base may be developed
with as much internal consistency as possible.
Prepare a Report on Stage II Operation
The stage II report will be prgsented in three parts, with each part containing more
than one section. The three parts are described below:
1. Part I: Background and Methodology . Since each site in the overall program is
considered to have certain unique features, an introductory background section
will be prepared placing the report in proper focus. The methodology section
will contain detailed documentation of stage II procedures to permit generaliza-
tion of these procedures with some modifications to different urban sites.
2. Part II: Social Reporting . This part will consist of one section for each of the
conceptual areas and a concluding section which will interrelate the analytical
28
interpretation of the results from each conceptual area to one another and
portray the total picture. The purpose of this part of the report will be to
describe the major features of the study. This description will cover the
tracking, monitoring, analysis and interpretation of changes in the health and
social status, the level of delivery of health and social services and available
resources to the target (and comparison) area populations which are being
serviced.
3. Part III: Uses of Analyzed and Interpreted Social Reporting . While we will not
attempt to evaluate the influence the ASCHC has exerted to effect the changes
reported in Part II, we will specify the implications of the findings in terms
of maintaining, expanding or revamping existing programs and introducing new
programs to meet existing (unmet) needs.
Developing Procedures for Evaluating ASCHC Project Performance
One of the overriding concerns of the project is that the indicators program will be
used to monitor the status and changes in population characteristics, but it cannot
be employed directly to evaluate programs of the ASCHC facilities which no doubt
contribute to the social change. There is not, obviously, a one-to-one relationship
between specific changes in health status (or other factors) and programs conducted
by ASCHC facilities, simply because of the number of forces and programs in the com-
munity that contribute to change that are not directly related to those facilities.
To evaluate the contribution of the ASCHC facilities to the total change would re-
quire at the very minimum examination and analysis of their operations data. Ideally,
it would require a before-and-after impact study incorporating control and experi-
mental populations.
Acting under the assumption that a minimum level of evaluation is desirable and
feasible, part of the stage II operations will involve the examination of operations
data and the development of procedures to relate those data to changes occurring
within the service area.
The use of these procedures, once established by the Census Use Study, ought to be
undertaken by some recognized, acceptable local group on an ongoing basis as an
important part of the evaluational routine. If the indicator project analyses are
to have any meaning to the ASCHC facility staff, either for planning or evaluating
programs, it is imperative that the procedures developed be continued on a regular
basis as a routine activity.
The development of procedures for evaluating programs of the ASCHC facilities will be
interfaced with the other parts of the program by the Census Use Study professional
staff. Also, the Census Use Study staff will assist the ASCHC project staff in im-
plementing these procedures.
The Atlanta Southside Comprehensive Health Center keeps records and compiles sum-
aries relating to characterizing patients served and types of care utilized. More
specifically, there are monthly and quarterly reports generated regularly which
indicate:
patients registered by
- age
- sex
- race
- number of visits
- number of encounters
29
primary source of payment, including
- medicare
- medicaid
- public assistance
- private insurance
registration by service zones by
- primary referral source
- type of transportation
- travel time
family characteristics
- size
- financial eligibility/income
- welfare status
- sex of head of household
encounters by
- provider
- type
- s i te
types of services provided
Move to Stage III
When all of the tasks described above are completed, the Census Use Study will
initiate the implementation of stage III.
30
APPENDIX
SOCIAL INDICATOR MATRICES
The attached social indicator matrices were designed for application in Atlanta where
one 0E0 program is the subject for study. This program serves a closed system. Data
in these matrices will be obtained on two levels—service area and census tract (sub-
service-area) level .
The matrices were designed to contain a maximum number of indicators. The ultimate
matrices will contain a smaller set of indicators structured around ten specific
areas. These ten areas will be articulated in the stage II effort to provide a con-
ceptual basis for organizing, analyzing and interpreting results. The ten areas are:
(1) health, (2) welfare, (3) education, (4) employment/unemployment, (5) housing,
(6) transportation, (7) taxation, (8) social stress, (9) recreation, and (10) land
use and access.
Explanation of Codes Used in the Matrix
1. Codes in matrix cells:
X = Data are available fropi a known source
R = Data will need to be reconstructed from basic data files only
2. Codes for geographic delineation
1 = Data available at the service area level
2 = Data available at the census tract level
33
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
Vital Statistics
A. Births
1. Age of mother by race
a. % under 18
b. Average age
2. Prematurity
a. % of total
b. Average age of mother
3. Birth order
a. 35 and over, % first
birth
b. Under 25, % fourth
birth
4. Births to unwed mothers
a. % mothers under 18
b. % by race
5. Previous births
a. Average total by race
b. Average live by race
6. Hospital
a. Type (public/private)
b. Location
B. Fetal Deaths
1. % mothers under 18 by
race
2. % legitimate by race
3. % legitimate, mother
under 18
HEALTH INDICATORS
R
R
R
R
X
X
R
R
R
B
X_
X
R
R
R
R
I
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X_
X
R
R
R
R
X
X
R
R
R
R
X
X
1, 2
R
R
R
R
X
X
1, 2
R
R
R
R
X
X
1, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
34
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
Neonatal Deaths
1. % mothers under 18 by
race
2. % premature for mothers
under 18
3. % unwed mothers under 18
4. % premature by race
Perinatal Deaths
1. Age of mother by race
a. % under 18
b. Average age
2. Prematurity
a. % of total
b. Average age of mother
3. Birth order
a. 35 and over, % first
birth
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
R
R
R
R
X
X
b. Under 25 3 % fourth
birth
R
R
R
R
X_
1
4.
Unwed mothers
a. % mothers under 18
R
R
R
R
X_
X
b. % by race
R
R
R
R
X
X
5.
Previous births
a. Average total by race
R
_R_
R
R
X
X
b. Average live by race
R
R
R
R
x
X
6 =
Hospital
a. Type (public/private)
R
R
R
R
X
X
b. Location
R
R
R
R
X
X
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
, 2
35
Indicator Title Time Period and Data Accessibility Geographic
and Description 1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT,
Infant Deaths
1. % mothers under 18
by race X X 1, 2
2. % premature for mothers
under 18
3. % unwed mothers under 18
4. % premature by race
F. Death
1. Death rates standardized
by age, race & sex R R R R X X 1, 2
R
R
R
R
X
X
1, 2
R
R
R
R
X
X
1, 2
R
R
R
R
X
X
1, 2
2.
Deaths rates
by
cause
(10 selected;
b>
' race
R
R
R
R
X
X_
1,
2
G. Reportable Disease
Rates
1.
Tuberculosis
by
race
R
R
R
R
R
R
1,
2
2.
Measles
_ R
R
R
R
R
R
1,
2
3.
Hepatitis
R
R
R
R
R
R
1,
2
4.
Rubella
i
R
R
R
R
R
R
1,
2
5.
Venereal disease
a. Gonorrhea
by
race
R
R
R
R
R
R
1,
2
b. Syphilis by race
R
R
R
R
R
R
1,
2
Programs
A. Immunization
-
1.
DPT
B
R
R
R
R
R
1
'
2,
Smallpox
R
R
R
R
R
R
I
3.
Measles
R
R
R
B
R_
R_
I
4.
Rubella
R
R
R
R
R
R
I
5.
Polio
R
R
R
B
R
R
I
6.
Miscellaneous
R
R
R
R
R
R
I
36
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT,
B. Screening Prog
rams
1. Skin tests
R
R
R
R
R
R
I
2. Glaucoma
R
R
R
R
R
R
1
3. X-rays
R
R
R
R
R
R
I
Clinic Sessions
A. Alcoholic Rehabilitation
1. Clinic sessions
a. Number
b. Cost
2. Physician sessions
3. Attendance
a. Number
b. Average per session
4. Patient exam/counsel
by physician
a. Total number
b. Average per physician
session
c. New patients
d. Individuals served
5. Other patients served
a. By physician
b. Not by physician
B. Child Health Conferences
1. Clinic sessions
a. Number
b. Cost
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
B
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
37
Indicator Title
and Description
Time
1965
Period
1966
and
1967
Data Ac
1968
cessib -
1969
lity
1970
Geographic
Delineation
HEALTH
INDICATORS (CONT.)
2,
Physician sessions
R
R
R
R
R
R
3.
Attendance
a. Number
R
R
R
R
R
R
b. Average per session
R
R
R
R
R
R
4,
Patient exam/counsel
by physician
a. Total number
R
R
R
R
R
R
i.
b. Average per physician
session
R
R
R
R
R
R
5.
Other patients served
a. By physician
R
R
_R_
R
R
R
—
b. Not by physician
R
R
R
R
R
R
—
C. Dental
1.
Clinic sessions
a. Number
R
R
R
R
R
R
_
b. Cost
R
R
R
R
R
R
—
2.
Physician sessions
R
R
R
R
R
R
~
3.
Attendance
a. Number
R
R
R
R
R
R
_
b. Average per session
R
R
R
R
R
R
_
4.
Patient exam/counsel
by physician
a. Total number
R
R
R
R
R
R
_
b. Average per physician
session
R
R
R
R
R
R
c. New patients
R
R
R
R
R
R
—
d. Individuals served
R
R
R
R
R
R
38
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
5. Other patients served
a. By physician
b. Not by physician
D. Drug Treatment
E. Family Planning (County)
1. Clinic sessions
a. Number
b. Cost
2. Physicians sessions
3. Attendance
a. Number
b. Average per session
4. Patient exam/counsel
by physician
a. Total number
b. Average per physician
session
c. New patients
d. Individuals served
5. Other patients served
a. By physician
b. Not by physician
F. Prenatal
1. Clinic sessions
a. Number
b. Cost
2. Physician sessions
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
_R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
39
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
3. Attendance
a. Number
R
R
R
R
R
R
b. Average per session
R
R
R
R
R
R
4. Patient exam/counsel
by physician
a. Total number
R
R
R
_R
R
R
b. Average per physician
session
R
R
R
R
R
R
c. New patients
R
R
R
R
R
R
d. Individuals served
R
R
R
R
R
R
5. Other patients served
a. By physician
b. Not by physician
Tuberculosis
1. Clinic sessions
a. Number
b. Cost
2. Physician sessions
3. Attendance
a. Number
b. Average per session
4. Patient exam/counsel
by physician
a. Total number
b. Average per
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
physician session
R
R
R
R
R
R
c.
New patients
R
R
R
R
R
R
d.
Individuals served
R
R
R
R
R
R
40
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
5. Other patients served
a. By physician
R
R
R
R
R
R
b. Not by physician
R
R
R
R_
R
R
Venereal Disease
1. Clinic sessions
a. Number
R
R
R
R
R
R
b. Cost
R
R
R
R
R
R
2. Physician sessions
P.
R
R
R
R
R
3. Attendance
a. Number
R
R
R
R
R
R
b. Average per session
R
R
R
R
R
R
4. Patient exam/counsel
by physician
a. Total number R R R R R R
b. Average per
physician session E. R E. E. B. R
c. New patients R R R R R R
d. Individuals served R R R^ R R R
5. Other patients served
a. By physician R R R R R R
b. Not by physician R R^ £ R R R
Youth Health
1. Clinic sessions
a. Number R R R R R R
b. Cost R R R R R R
2. Physician sessions R R R R R R
41
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
3.
Attendance
a. Number
R
R
R
R_
R
P
b. Average per session
R
R
R
R
R
R
4. Patient exam/counsel
by physician
a. Total number
b. Average per
physician session
c. New patients
d. Individuals served
5. Other patients served
a. By physician
b. Not by physician
J. School Health Program
(by school )
R
R_
R
R
R
R
R
R
ft
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
P
1.
Physical exam results
R
R
R
R
R
R
2.
Vision survey
R
R
R
R
R
R
3.
Hearing survey
R
R
R
R
R
R
4.
Dental exam results
R
R
R
R
R
R
5.
Nutrition data
R
R
R
R
R
R
6.
Anemia incidence
R
R
R
R
R
R
7. Sickle cell trait
incidence
R
8. Number of nursing hours
per term per 100 students R^
9. Number of dental hours
per term per 100 students R^
10. Number of medical hours
per term per 100 students R
42
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
Miscellaneous Health
Indicators
1. Proportion of pop.
on medicaid (ratio to
estimated number
eligible)
2. Proportion of pop. on
medicare (ratio to
estimated number
eligible)
Resources
A.
Manpower (per 1,000
Pop.)
1. Physicians
R
R
R
R
R
_R
1
2. Psychiatrists
R
R
R
R
R
R
I
3. Nurses
R
R
R
R
R
R
1
4. Dentists
R
R
R
R
R
R
1
5. Pharmacists
R
R
R
P.
R
R
I
6. Visiting nurses
R
R
R
R
R
R
1
7. Other health
professionals
f;
B. Nursing Homes
1. Beds
a. Total capacity
b. Average occupancy rate R
2. Patients
a. Origin
b. Average age
3. Length of stay
a. Total patient days
b. Average stay
K
R
R
R
R
R
I
R
R
R
R
R
R
I
R
R
R
R
R
R
I
R
R
R
R
R
R
I
R
R
R
R
R
R
1
R
R
R
R
R
R
1
43
Indicator Title
and Description
Time
1965
Period
1966
and
1967
Data Ac
1968
cessib -
1969
i 1 i ty
1970
Geographic
Delineation
HEALTH
INDICATORS (CONT.)
4. Costs
a. Average cost per day
R
R
R
R
R
R
1
b. Average cost per stay
R
R
R
R
R
R
I
C. Medicaid
1. Patients
a. Per 1,000 population
R
R
R
R
R
X
1
b. Welfare as % of
total income
2. Dollars of aid
a. Amount per capita
R
R
R_
R
R
X
b. Amount per patient
R
R
R
R
R
X
3. Vendor payments
a. Total
R
R
R_
R
R
X
b. Doctors
R
R
R
R
R
X
c. Nursing homes
R
R
R
R
R
X
d. Pharmacies
R
R
R
R
R
x
e. Dentists
R
R
_R
R
R
x
f. Other services
R
R
R
R
R
X
Statistics
Acute
1. Total patient days R R R R R R \_
1. Patient days per 1,000
population R R R R R R ^
Long Term
1. Total patient days R R R R R R \_
2. Patient days per 1,000
population R R R R R R l_
44
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
Facil i ties
A. Acute
1. Total number
R
R
R
R
R
R i
2. Number of licensed beds
R
R
R
R
R
R 1
3. Average occupancy (%)
R
R
R
R
R
R i
4. Bed breakdown
a. Medical/surgical
- number
R
R
R
R
R
R i
- occupancy
R
R
R
R
R
R I
b. Obstetrical
- number
R
R
R
R
R
R 1
- occupancy
R
R
R
R
R
R 1
c. Pediatric
- number
R
R
R
R
R
R I
- occupancy
R
R
R
R
R
R 1
B. Long Term
1. Number of facilities
R
R
R
R
R
R 1
2. Number of licensed beds
R
R
R
B
R
R 1
3. Average occupancy
R
R
R
R
R
R 1
C. Mental
1. Number of facilities
R
R
R
R
R
R 1
2. Number of licensed beds
R
R
R
R
R
R 1
3. Average bed occupancy
R
R
R
R
R
R I
Services
A. Number of admissions (by
services)
45
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT,
B.
Inpatient days (by
services)
R
R
R
R
R
R
C.
Average daily inpatients
R
R
R
R
_R_
R
D.
Average length of stay
(by services)
R
R
R
R
R
R
E.
Functional bed capacity
(by services)
R
I!
R
R
R
R
F.
Inpatient days as % of
functional bed capacity
R
R
R
R
R
R
G.
Number of deaths
R
R
R
R
R
R
Number of deaths as %
of admissions
Outpatients
A. Admitting Room Patients Seen
R
R
R
R
R
R
B. Admissions as % of (A)
R
R
[ i
R
R
R
C. Outpatient Clinic Visits
1. Outpatients
R
R
R
R
R
R
2. Inpatients
R
R
R
R
R
R
D. Special services visits
1. Outpatients
R
R
R
R
R
R
2. Inpatients
R
R
R
R
R
R
E. Emergency Room Visits
R
R
R
R
R
R
Other Hospital Services
A. Surgical Operations
Performed
R
R
R
R
R
R
B. Home Care Programs
1. Admissions
R
R
R
R
R
R
2. Patients
R
R
R
R
R
R
3. Physicians
R
R
R
R
R
R
.46
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
HEALTH INDICATORS (CONT.)
C. Pharmacy prescriptions
filled
D. Diagnostic X-rays
E. Dental Visits
F. Anesthetic Procedures
G. Clinic Lab Exams
H. OMR Physicians Visits
Manpower Data
A. Physicians
B. Nurses
C. Dentists
D. Pharmacists
E. Social Workers
Financial Data Costs
Admissions: Inpatient
A. Total
B. Age
C. Sex
D. Ethnic Origin
E. Marital Status
F. Number in Household
G. Income
H. Entry Diagnosis Impression
I. Final Diagnosis Primary
J. Legal Status: % Voluntary
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R_
R
R
R
R
R
R
R
R
R
_R
R
R
R
R
R
_R_
R
R_
R
R
R
_R
R
R
R
R
R
R
R_
MENTAL
HEALTH
INDICATORS
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
B.
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
i R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
47
Ind
icator Title
Time
Period
and Data Accessib-
lity
Geographic
and
Description
1965
1966
1967
1968
1969
1970
Del ineation
MENTAL HEALTH INDICATORS
(CONT
• )
K.
Number of Days
R
R
R
R
R
R
L.
Average Length
R
R
R
R
R
R
_
M.
Cost
R
R
R
R
R
R
i
Adm
issions: Outpatient
A.
Total
R
R
R
R
R
R
—
B,
Age
R
R
R
R
R
R
—
C.
Sex
R
R
R
R
R
R
—
D.
Ethnic Origin
R
R
R
R
R
R
—
E.
Marital Status
R
R
R
R
R
R
—
F.
Number in House
hold
R
R
R
R
R
R
—
G.
Income
R
R
R
R
R
R
—
H.
Entry Diagnosis
Impression
R
R
R
R
R
R
—
I.
Final Diagnosis
Prima
ry
R
R
R
R
R
R
—
J.
Legal Status: %
Voluntary
R
R
R
R
R
R
—
K.
Number of Outpatient
Visits
R
R
R
R
R
R
—
L.
Average Length
R
R
R
R
R
R
—
M.
Cost
R
R
R
R
R
R
—
Admissions: Rehabi
litati
on
A.
Total
R
R
R
R
R
R
—
B.
Age
R
R
R
R
R
R
_
C.
Sex
R
R
R
R
R
R
Jl
D.
Ethnic Origin
R
R
R
R
R
R
E.
Marital Status
R
R
R
R
R
R
—
F.
Number in House
hold
R
R
R
R
R
R
_
G.
Income
R
R
R
R
R
R
_
H.
Entry Diagnosis
Impre
ssion
R
R
R
R
R
R
—
48
Indicator Title
and Description
Time Period aand Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
MENTAL HEALTH INDICATORS (CONT,
I.
Final Diagnosis Primary
R
R
R
R
R
R
J.
Legal Status: % Voluntary
R
R
R
R
R
R_
K.
Number of Day-care Days
R
R
R
R
R
R
L.
Average Length
R
R
B
R
R
R
M.
Cost
R
R
R
R
R
R
Mi
scellaneous
A.
Readmissions
R
R
R
R
R
R
B.
Referrals
R
R
R
R
R
R
C.
Cases Closed
R
R
R
R
R
R
Fa
ci 1 i ties
A.
State
1. Number of beds
R
R
R
R
R
R
2. % bed occupancy
R
R
R
R
R
R
3. Average daily census
R
R
R
R
R
R
4. Average length of stay
R
R
R
R
R
R
B.
County
1. Number of beds
R
R
R
R
R
R
2. % bed occupancy
R
R
R
R
R
R
3. Average daily census
R
R
R
R
R
R
4. Average length of stay
R
R
R
R
R
R
C.
Private
1. Number of beds
R
R
R
R
R
R
2. % bed occupancy
R
R
R
R
R
R
3. Average daily census
R
R
R
R
R
R
4. Average length of stay
R
R
R
R
R
R
49
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
Indicator Title
and Description
Suicides (rate)
MENTAL HEALTH INDICATORS (CONT.)
Admissions Rate
A. Outpatient
R
R
R
R
R
R
1
B. Inpatient
R
R
R
R
R
R
1
C. Rehabilitation
R
R
R
R
R
R
I
Hospital Admissions
A. State
R
R
R
R
R
R
1
B. County
R
R
R
R
R
R
1
Related Data
R R R R R R
WELFARE INDICATORS
Catego
rical Programs
A. Family Aids
1.
Family groups
a. Number of cases
X
X
X
X
X
X
2
b. Number of persons
X
x_
X
X
X
X
2
c. Amount of aid
X
X
X
X
X
X
2
d. Average aid per
person
X
X
X
X
_x
X
2
2.
Unemployed father
,
a. Number of cases
x^
X
X
X
X
x_
2
b. Number of persons
X
X
X
X
X
X
2
c. Amount of aid
X
X
X
X
x^
X
2
d. Average aid per
person
X
X
X
X
X
X
2
3. Boarding homes/
institutions
a. Number of cases
50
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
WELFARE INDICATORS (CONT.)
b.
Number of persons
X
X
X
X
X
X
c.
Amount of aid
X
X
X
X
X
X
d.
Average aid per
person
X
X
X
X
X
X
4. General relief
a. Number of cases
b. Number of persons
c. Amount of aid
d. Average aid per
person
Other Programs and Services
A. Food Stamp Program
1. Number of households
2. Number of persons
3. Persons per household
4. Cash value per person
Medical Assistance
1. Family aid (AFDC)
a. Number of households
b. Number of persons
c. Persons per household
d. Cash value per person
2. Adult aids
a. Aid to disabled
- number of persons
- average aid per
person
B
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
2
X
X
X
X
X
X
2
X
X
X
X
X
X
2
X
X
X
X
X
X
2
51
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
WELFARE INDICATORS (CONT.)
b. Aid to the blind
- number of persons
- average aid per
person
c. Old age assistance
- number of persons
- average aid per
person
EDUCATION INDICATORS
Primary School Level (by school)
A. Median reading scores
B. Median math scores
Secondary School Level (by school)
A. Average of disperson of math
CEE scores
B. Average of disperson of
Engl ish CEE scores
C. Proportion of high school
honor students
D. Proportion of junior high
and high school dropouts
E. Proportion of chronic
absentee cases
F. Proportion of vocational
enrollment of age group,
X
X
X
X
X
X
X
X
X
X
X
X
15-19
R
R
R
R
R
R
Percent entering college
R
R
R
R
R
R
Selective service rejection
rate
R
R
R
R
R
R
Proportion of high school
freshmen that did not
graduate 4 years later
52
Indicator Title Time Period and Data Accessibility Geographic
and Description 1965 1966 1967 1968 1969 1970 Delineation
EDUCATION INDICATORS (CONT.)
J. Proportion of high school
graduates admitted to post
secondary educational
institutions R R R R R R ^
Other Indicators
A. Combined primary and
secondary enrollment as
percentage of age group,
15-19 R R R R R R 1
B. Proportion of adult pop.
enrolled in some form of
adult education R R R R R R l_
C. Newspaper circulation per
1,000 population R R R R R R l_
D. Proportion of unit pop.
aged 15 and over able to
read and write R R R R R R 1
E.
Turnover by grade, age,
sex and race
R
R
R
R
R
R
1
F.
Dropout by reason
R
R
R
R
R
R
I
G.
Children in head start
and/or preschool programs
per 100 preschool children
H. Age of school
I. Enrollment/capacity ratio
by school
J. Average pupil/teacher
ratio by school
K. Average number of pupils
per classroom
L. Average length of service
teaching in school assigned
M. Average length of service
teaching in general
N. Average expenditure per
pupil
R
R
R
R
R
R
I
R
R
R
R
R
R
1
R
R
R
R
R
R
53
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineations
EDUCATION INDICATORS (CONT.)
Libraries
A. Percent of citizens (six
years and older) holding a
public library card
B. Provision and utilization
of special services (e.g.,
special request, reference
room, children's room,
public meeting space,
mobile units, day care
functions, communal
activities, public in-
formation, cultural focus,
lectures, study hall
functions, audio-visual
activities)
C. Average number of books
per 1,000 population
R
R
R
R
R
R
D.
Average age of buildings
R
R
R
R
R
R
E.
Average capacity of
buildings
R
R
R
R
R
R
F. Special purpose plans
(e.g., reading centers,
neighborhood and multi-
purpose centers)
G. Mean time/distance to
library from service area
H. Geographic dispersion of
users
R
R
R
R
R
R
Characteristics of users
R
R
R
R
R
R
Mean staff size per facility
R
R
R
R
R
R
Staff experience per
facility
R
R
R
R
R
R
Average expenditure per
user
54
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
EMPLOYMENT/UNEMPLOYMENT INDICATORS
Percent Unemployed
Percent Underemployed
Job Training Program Enrol lees
Vocational Rehabilitation
Program Enrol lees
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
HOUSING INDICATORS
Housing Quality
A. Proportion of substandard
units (lacking plumbing or
heating facilities)
B. Proportion of population
residing in houses built
before 1950
C. Percent of housing units
which had one or more
housing code violations
D. Percent owner-occupied
housing units
Housing Quantity
A. Ratio of housing units
to households
B. Percent of housing units
having more than 1.01
persons per room
C. Distribution of units by
number of rooms
D. Number of units newly
completed
E. Number of newly
rehabilitated units
F. Number of new units
under construction
G. Number of rehabilitated
units under way
R R R R
R R R R
R R R R
R R
R R
R R R R
55
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
H. Proportion of abandoned
units
I . Proportion of tax
delinquent properties
J. Number of units for
the elderly
K. Number of public housing
units
HOUSING INDICATORS (CONT.)
R R R R
R
R
R
C. Proportion of buildings
rent-struck
Public Housing Authority
A. Number of units
B. Percent of population in
public units
C. Tenant characteristics
1. Average household income
2. Average household size
3. % husband-wife families
4. Normal family life index
5. Dependency ratio: total
6. Dependency ratio: youth
7. Dependency ratio: aged
R
1. Occupied
R
R
R
R
R
R
2. Vacant
R
R
R
R
R
R
3. Under construction
R
R
R
R
R
R
Housing Problems
A. Number of displaced
f ami 1 i es
R
R
R
R
R
R
B. Number of evictions
R
R
R
R
R
R
X
X
X
X
X
X
X
X
X
X
X
X
x_
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
x^
X
X
X
X
X
X
X
X
X
X
ajn
56
Ind
and
icator Title
Description
Time
1965
Period
1966
and
1967
Data Ac<
1968
;essib _
1969
lity
1970
Geographic
Del ineation
HOUSING
INDICATORS
(CONT.)
8. Household head: %
65 and over
X
X
X
1
x _
X
9. Household head:
% female
X
X
X
X
X
X
Bui
lding Permits
A.
Number of units
R
R
R
R
R
R
~
B.
Value of new single
R
R
R
R
R
R
—
C.
Single/multiple ratio
R
R
R
R
R
R
—
D.
Value of improvements
R
R
R
R
R
R
—
E.
Business/residential ratio
(value)
R
R
R
R
R
R
F.
Conversions
R
R
R
R
R_
R
—
G.
Demolitions
R
R
R
R
R
R
A.
Property Rolls
A.
Value of one-family units
R
R
R
R
R
R
A.
B.
Value of multi-units
R
R
R
R
R
P.
—
C.
Business/residential
ratio (value)
R
R
R
R
R
R
D.
Business/residential
ratio (acreage)
R
R
R
R
R
R
E.
Average land values
R
R
R
R
R
R
—
F.
Improvements/land ratio
(value)
R
R
R
R
R
R
G.
% absentee ownership
R
R
R
R
R
R
~
H.
Property tax base (related
to Taxation)
R
R
R
R
R
R
I.
Property tax receipts
(related to Taxation)
R
R
R
R
R
R
J.
Tax del inquencies
R
R
R
R
R
R
57
Indicator Title
Time
Period
and
Data Ac<
:essib"
ility
Geographic
and Description
1965
1966
1967
1968
1969
1970
Delineation
HOUSING
INDICATORS
(C0NT.)
Miscellaneous
A. Fires: average estimated
loss
R
R
R
R
R
R
1
B. Foreclosures
R
F l
R
R
R
R
1
C. Condemnations
R
R
R
R
R
R
1
D. Vacancies
R
R
R
R
R
R
1
TRANSPORTATION RES0UPCE
INDICATORS
R
Cars per 1,000 persons
R
R
p
R
R
I
Bus ridership for target
areas
R
R
K
R
R
R
1
School buses per 1,000 school
enrol lees
R
R
R
R
R
R
I
Number of buses for spec
ial
students (e.g., handicapped)
R
R
R
R
R
R
1
Special buses for trainees or
employees to get to work
DOT-supported special
transportation programs)
(e.g.,
R
R
R
R
R
R
1
TAXATION INDICATORS
Sales Tax
A. Total
1. Sales
R
R
R
R
R
R
i
2. Taxes
R
R
R
R
R
R
1
3. Effective rate
R
R
R
R
R
R
1
B. Average per establisl
iment
1. Sales
R
R
R
R
R
R
1
2. Taxes
R
R
R
R
R
R
1
3. Effective rate
R
R
R
R
R
R
1
58
Indicator Title
and Description
Time
1965
Period
1966
and
1967
Data Act
1968
;essib"
1969
i 1 i ty
1970
Geographic
Del ineation
TAXATION
INDICATORS
(CONT.)
C. Food retailers
1. Sales
R
R
R
R
R
R
1
2. Taxes
R
R
R
R
R
i;
I
3. Effective rate
R
R
R
R
R
R
I
4. 1 food is of total
R
R
R
R
R
R
I
Income Tax
A. Taxpayers per 1,000 pop,
18 and over
• 3
R
R
R
R
R
R
1
B. Tax schedule, average
individual
1. Gross income
R
R
R
R
R
R
I
2. Taxable income
R
R
R
R
R
R
I
3. Dependents
R
R
R
R_
R
R
1
4. Taxes
R
R
P.
R
R
R
1
5. Effective rate
R
R
R
R
R
R
I
Property Tax (included undei
Housing)
r
R
R
R
R
R
R
1
SOCIAL STRESS INDICATORS
Adult arrests per
1,000 pop.
Juvenile c
iffenses
per
1,000
juveniles
Number of
persons
on probation
or parole
per unit
; of
pop.
Narcotics
arrests
per
unit of
populatior
Number of
i
cases of court child
supervision per 1.
,000
pop.
Number of
cases of ch"
ild
neglect per 1,000
popi
jlation
59
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
SOCIAL STRESS INDICATORS (CONT.)
Preventable Deaths per 1,000 Pop .
A. Total R R R R R
B. Homicides R R R R R^
C. Suicides R R R R R
D. Accidents R R R R R
R
1
R
1
R
1
R
1
RECREATION INDICATORS
Open Space and Public Facilities
A. Open space & paths
(sq. ft. /I, 000 pop.)
1. Availability of open space
a. day
b. evening
B. Public space
C. Indoor space (sq. ft./
1,000 population)
R
R
R
R
R
R
1
R
R_
R
R
R
R
1
R
R
R
R
R
R
1
1. Gymnasia
R
R
R
R
R_
R
1
2. Public pools
R
R
R
R
R
R
1
3. Community school
R
R
R
R
R
R
1
Age of public facilities
--speci
fie
space available indoors
and
■
i
outdoors
R
R
R
R
R
R
1
LAND USE AND ACCESS INDICATORS
Other Space and Facil
ities
A. Industrial use
1. Heavy
R
R
R
R
R
R
I
2. Light
R
R
R
R
R
R
I
B. Commercial use
R
R
R
R
R
R
I
60
Indicator Title
and Description
Time Period and Data Accessibility Geographic
1965 1966 1967 1968 1969 1970 Delineation
LAND USE AND ACCESS INDICATORS (CONT.
C. Dumps
D. Railroad and freeways
E. Residential use
F. Parking lots
G. Sports fields
H. Public housing
I. Public buildings
J. Other miscellaneous uses
Access
A. Average distance to
elementary schools
B. Average distance to
secondary schools
C. Average distance to library
D. Average distance to
public transportation
E. Average distance to park
F. Average distance to
railroad
G. Average distance to freeway
H. Average distance to
public health center
R
R
R
R
R^
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
R
61
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