Appendix

This is additional information about some statistics contained in the Georgia County Guide. It is organized according to the main subject categories that appear in this web site, which agree with the ones in the printed version of the Georgia County Guide.

AGRICULTURE

Farms and Harvested Cropland: 1964-1997.
    Since 1850, when minimum criteria defining a farm for census purposes first were established, the farm definition has changed nine times. The current definition, first used for the 1974 census, is any place from which $1,000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year. The following definition, used for the 1959, 1964, and 1969 censuses, counted a farm as any place with less than 10 acres from which $250 or more of agricultural products were sold or normally would have been sold during the census year, or any place of 10 acres or more from which $50 or more of agricultural products were sold or normally would have been sold during the census year.

ECONOMICS

Median Income: 1989-1995
Poverty Characteristics: 1989-1995
    The Census Bureau used statistical models to relate income and poverty to indicators based on summary data from federal income tax returns, data about participation in the Food Stamp and Supplemental Security Income programs, and the previous census. These estimates are then combined with direct estimates based on the "Current Population Survey" sample to provide figures which are more precise than either set alone. This is a standard method for making statistical estimates for small areas. The final combined estimates are referred to as "model-based."
Migration Flow Based on IRS Tax Filing Years:1997-1998
    Migration flow data show migration patterns based on year-to-year changes in the addresses entered on individual income tax returns by taxpayers. The data are the result of a joint effort between the IRS and the Census Bureau. The data were developed by matching the records of individual income tax returns filed in a 'base year" with the tax returns filed in the following year, using the social security number of the "primary taxpayer" (on joint returns, the secondary taxpayer number was not used). If the county of residence listed did not change, the taxpayer was considered a "non-migrant." If the base year county of residence did not match, the taxpayer was considered an "out-migrant." Those taxpayers whose "following year" county matched were considered "in-migrants." The counts for personal exemptions represent actual number of individuals [taxpayer(s) and dependents] who were reported on the tax return. The Census Bureau calculated the median total money income by placing the values into intervals. While the resulting values are not true medians, it is believed that they are reliable estimates of the true median.

Per Capita Income: 1993-1998
    Per capita personal income--This measure of income is calculated as the total personal income of the residents of an area divided by the population of the area. Per capita personal income is often used as an indicator of the quality of consumer markets and of the economic well-being of the residents of an area. In computing per capita personal income for States and counties, BEA uses the Census Bureau's annual midyear population estimates. Except for the college student and other seasonal populations, which are measured on April 1, the population for all years is estimated on July 1.
    The local area estimates of per capita personal income should be used cautiously for several reasons. In some instances, the change in the per capita personal income of an area may be the result of unusual conditions. For example, the income of an area may be raised for a year as the result of a bumper crop, or it may be reduced for a year as the result of a hurricane. In other instances, the per capita personal income of an area may reflect the income levels of certain groups of the resident population, but it may not be indicative of the economic well-being of the residents of the area. For example, the per capita income of an area may be substantially raised for several years by a major construction project--such as a defense facility, power plant, or dam--that attracts highly paid workers whose wages and salaries are measured at the construction site. However, this high per capita income may not be indicative of the economic well-being of most of the residents of the area (or, in many cases, of the resident construction workers themselves, because they frequently send a substantial portion of their wages to dependents who live in other areas).
    Conversely, the per capita income of an area may be reduced by the presence of a large institutional population--like that of a college or a prison--because little income is attributed to the residents of these institutions. However, this low income may not be indicative of the economic well-being of most of the residents of the area (or, in many cases, of the institutional populations, because some of these populations, such as college students, typically receive support from their families who live in other areas).
    Further, the per capita income of areas where the population changes rapidly can be misleading. Because population is measured at midyear and because income is measured as a flow over the year, the per capita income of an area can be distorted if the population of an area changes significantly during the year, particularly around midyear.
    The per capita income of counties where farm proprietors' income is a large portion of personal income can also be misleading. Farm proprietors' income reflects current production, not current cash flows. Farm proprietors' income excludes sales out of inventories, which are included in current gross receipts, because these sales represent income from a previous year's production, not from current production. Furthermore, farm proprietors' income includes the value of additions to inventories. Therefore, the estimates of farm proprietors' income do not reflect the farmers' attempts to regulate their cash flow by adjusting inventories. In addition, the per capita income of sparsely populated counties that are dependent on farming reacts more sharply to weather and world market demand and to changing government policies affecting agriculture than the per capita income of counties where the sources of income are more diversified.

Retail Sales: 1998
    Effective Buying Income is a measure of income developed exclusively by "Market Statistics" to distinguish it from those reported by other data sources. EBI is defined as money income less personal tax payments, a number often referred to as "disposable" or "after-tax" income. Total Retail Sales reflects net sales (minus refunds and allowances for returns) for all establishments primarily engaged in retail trade. Receipts from repairs and other services (by retailers) are included, but retail sales by wholesalers and service establishments are not. Net sales for some establishments (e.g. lumber yards; paint, glass and wallpaper stores; and office supply stores) are also included, even if they sell more to businesses than to consumers.

Total Personal Income: 1993-1998
    Personal income--The personal income of an area is defined as the income that is received by, or on behalf of, all the individuals who live in the area; therefore, the estimates of personal income are presented by the place of residence of the income recipients. Personal income consists of the income that is received by persons from participation in production, from government and business transfer payments, and from government interest (which is treated like a transfer payment). It is calculated as the sum of wage and salary disbursements, other labor income, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and transfer payments to persons, less personal contributions for social insurance.
    Money income consists only of the income that is reported as received by individuals in the decennial census of population. Personal income for counties is prepared annually, whereas money income for counties and cities is prepared decennially from the data from the "long-form" sample conducted as part of the census of population. Personal income, unlike money income, includes imputed income, all lump-sum payments except those received as part of earnings, certain in-kind transfer payments--such as Medicaid, Medicare, and food stamps--and employer contributions to private health and pension funds. Personal income, unlike money income, excludes personal contributions for social insurance, income from private pensions and annuities, and income from interpersonal transfers, such as child support.

Transfer Payments: 1998
    Transfer payments--This component of personal income measures the payments to persons for which no current services have been performed. It consists of payments to individuals and to nonprofit institutions by Federal, State, and local governments and by businesses. They are payments by government and business to individuals and nonprofit institutions. Transfer payments consists of three major components--government payments to individuals (retirement and disability insurance benefit payments, medical benefits, income maintenance benefits, unemployment insurance benefits, veterans benefit payments, federal education and training benefits, and other government payments to individuals), government and business payments to nonprofit institutions, and business payments to individuals.

EDUCATION

Student Data: 1998-99
    Students are reported as dropouts if they leave school for any one of the following reasons: marriage, expelled, financial hardship/job, incarcerated/under jurisdiction of juvenile justice or criminal justice authority, low grades/school failure, military, adult education/postsecondary, pregnant/parent, removed for lack of attendance, serious illness/accident, and unknown. The dropout rate is calculated by dividing the number of dropouts reported by the school system on the October 1999 FTE count divided by the total enrollment for the 1998-99 school year. The total enrollment for the 1998-99 school year used for the calculation of the dropout rate is an unduplicated count of students from the October 1998 and March 1999 FTE counts, plus any withdrawn students that were not counted in either of these FTE counts. This more precise accounting of student enrollment is different from the weighted average used for the 1995-96 and 1994-95 report cards. Therefore, due to the change in calculation of total enrollment, the dropout rates reported for 1996-97, 1997-98 and 1998-99 are not comparable with previous years' rates.

HEALTH

Child Abuse: 1999
    A "case" count represents the total number of families entered into the system. New information is added any time a new investigation is completed. A case may include several children and several incidents of maltreatment. An "incident" count represents the number of maltreatment incidents that occurred to any one child (i.e., a report of both physical abuse and neglect on one child counts as two incidents of maltreatment). The number of incidents will be greater than the number of cases; it will equal or exceed the number of children.

LABOR

Government Establishments, Employment and Wages: 1999
Establishments, Employment and Wages: 1999
    The employment and wage information is compiled from reports submitted by employers who are subject to Georgia's Employment Security Law. Because the law specifically protects the confidentiality of individual employers, data are not disclosed in the following cases: 1) There are fewer than three establishments in an industry group, and/or 2) One establishment accounts for 80 percent or more of the employment within the group. (Federal government industry group does not need to meet this criteria.) "Establishment:" Usually indicates a single physical business location. However, an employer operating two or more establishments in the same type of business in a county may be shown as one establishment. "Employment:" The numbers of employees on payrolls of employers covered by the Employment Security Law during the pay period that includes the 12th day of the month. This includes full-time, part-time and temporary workers and both hourly-paid and salaried employees. Employees who were not on the payroll on the 12th of the month will not be included. "Average Weekly Wages:" The total dollars paid (including bonuses, incentive pay, etc.) To all employees (both hourly and salaried) during the year divided by the average number of employees. This figure is then divided by 52 weeks to obtain a weekly figure.

NATURAL RESOURCES

Forest Land and Timberland: 1997
    "Forest Land" is at least 10 percent stocked by forest trees of any size, or formerly having had such tree cover, and not currently developed for nonforest use. The minimum area considered for classification is 1 acre. Forested strips must be at least 120 feet wide. "Timberland" is forest land capable of producing 20 cubic feet of industrial wood per acre per year and not withdrawn from timber utilization.

Toxic Chemical Releases: 1998
    The Toxic Release Inventory (TRI) chemical list includes over 700 different chemicals. The reports for 1998 for the first time include release data for seven new industry sectors. In Georgia the most significant of these new groups is the electric utility category. Georgia is home to some large coal burning power plants. These facilities burn very large amounts of coal and their resultant emissions dominate the TRI for this year. Categories of releases into the environment that are included in the report are stack air emissions, fugitive air emissions, direct charges to surface water, land, POTWs-- transfers to publicly owned treatment works (municipal sewerage systems), off-site transfers, and on-site.

POPULATION

Components of Change; Natural Increase and Net Migration: 1990-1999
    Using Census Bureau figures for population, births and deaths, deaths are subtracted from births to calculate "natural increase." Natural increase is then subtracted from the numerical estimate of population change to yield "net migration." Since a negative numerical change indicates that there was no growth, there would be a negative net migration, regardless of the natural increase. Even when there is a positive natural increase, there would be no percent natural increase if the area had a decrease in population. When growth has occurred, but the natural increase is greater than the growth, there is 100% natural increase. When estimates indicate no growth, both natural increase and net migration are 0%.
    The "Net International" and "Net Domestic" migration is calculated by the Census Bureau using IRS tax returns filed for that period of time. The net migration estimate is derived from tracking mailing addresses on consecutive federal income tax returns. When an individual files a tax return in consecutive years the mailing addresses in the two years are linked. If the addresses are identical, it is assumed that movement did not occur during the interval. When the addresses differ, they determine whether the movement indicates a crossing of place, county, or state boundaries. A sizeable portion of detected movement will never affect a population estimate because many moves are extremely local in nature. (e.g. movement between units in the same apartment complex or even movement across town within the same city). Even though mailing address and residential address might not coincide, the basic premise of the Administrative Records estimating procedure is that migration can only have occurred when there is positive evidence (different mailing addresses in consecutive years) that movement has taken place during the interval between the two tax filings.

RELIGION

Religious Affiliation: 1990
    Included in this table are the leading religions in Georgia based on total number of adherents. Total adherents consist of all members, including full members, their children and the estimated number of other regular participants who are not considered as communicants, confirmed or full members, for example, the "baptized," "those not confirmed," "those not eligible for communion," and the like. Membership statistics are generally reported for the county in which the church itself is located, rather than for the county in which the member resides. Baker, Clay and Dooly counties report more adherents than total population. Reasons for this may include U.S. Census undercount, church membership overcount, or county of residence differing from county of membership.

VITAL STATISTICS

Deaths: 1998
Death Rate = Total Population/Total Deaths X 1,000
Induced Terminations: 1998
Induced Termination Rate = Total Induced Terminations /Total Females, age 15-44 X 1,000
Teen Pregnancy: 1994-1998
Teen Pregnancy Rate = Total Teen Pregnancies / Total Females age 10-19 X 1,000
Infant Deaths: 1984-1998
Infant Death Rate = Deaths < 1 Yr. of Age / Total Live Births X 1,000
Live Births: 1998
Crude Birth Rate = Total Live Births / Total Population X 1,000
Marriages & Divorces: 1996-1998
Marriage Rate = Total Marriages / Total Population X 1,000
Divorce Rate = Total Divorces / Total Population X 1,000
Suicides & Homicides: 1990-1998
Suicide Rate = Total Suicides / Total Population X 100,000
Homicide Rate = Total Homicides / Total Population X 100,000
Teen Suicides: 1990-1998
Teen Suicide Rate = Total Teen Suicides / Total Population, ages 10-19 X 1000,000

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