Appendix

This is additional information about some statistics contained in the 2003 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.


In every table, counties with asterisks (*) beside their names are metropolitan counties, or counties that are part of a Metropolitan Statistical Area (MSA). All other counties are considered nonmetropolitan. In 2003, Georgia had 70 metropolitan and 89 nonmetropolitan counties.

 

AGRICULTURE

 

Farm Income and Production Expenses:  2001

 

Farm gross income consists of estimates for the following items: Cash receipts from the marketing of crops and livestock; income from other farm-related activities, including recreational services and the sale of forest products; government payments to farmers; the value of food and fuel produced and consumed on farms; the gross rental value of farm dwellings; and the value of the net change in the physical volume of farm inventories of crops and livestock. Production expenses include the expenses associated with farm dwellings.

 

The BEA State totals used to estimate farm earnings are based on the State estimates of the income of all farms prepared by the Economic Research Service of the U.S. Department of Agriculture (USDA). BEA modifies the USDA estimates to conform to the definitions and classifications of the national income and product accounts. The methods used to estimate farm proprietors' income at the county level rely heavily on data obtained from the censuses of agriculture and on selected annual county data prepared by the State offices affiliated with the National Agricultural Statistics Service (NASS), USDA. The NASS data are used, wherever possible, to interpolate and extrapolate the census-based estimates to non-census years. Administrative records data from the Farm Service Agency of USDA are used directly to account for total government program payments to farmers.

 

Farms and Harvested Cropland:  1969-1997

 

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

 

Per Capita Income:  1996-2001

 

Per capita personal income is calculated as the total personal income of the residents of an area divided by the population of the area and 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.

 

Total Personal Income; Earnings by Industry:  2001

 

Personal Income 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.

 

The estimates of total earnings by place of work are provided at the North American Industrial Classification Industry (NAICS) subsector level. The principal source data for the wage and salary portion of BEA's earnings estimates are from the Bureau of Labor Statistics.  BEA suppresses these estimates in many individual cases in order to preclude the disclosure of information about individual employers.

 

Transfer Payments:  2001

 

Transfer payments‑‑Transfer payments are payments to persons for which they do not render services in the current period. As a component of personal income, they are payments by government and business to individuals and nonprofit institutions. Although most of transfer payments are made in cash, they also include Medicare, Medicaid, and food stamps. At the State level, approximately 90 percent of total transfer payments are estimated on the basis of directly reported data. The remaining 10 percent are estimated on the basis of indirect, but generally reliable, data.

 

 

LABOR

 

Establishments, Employment and Wages:  2001

 

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.

 

Establishment: This 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, which 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.

 

POPULATION

 

Migration Flow Based on IRS Tax Returns:  2001-2002

 

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 Anon-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.

 

Natural Increase and Net Migration: 1990-2000 and 2000-2002

 

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. 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.

 

Estimates of natural increase and net migration from 1990-2000 are based on the numerical change between census counts taken in 1990 and 2000 and the number of births and deaths recorded by the GA Dept. of Public Health from April 1990 through March 2000.

 

Farm, Rural and Urban:  1990-2003

 

The Census Bureau defines “urban” for the 2000 Census as all territory, population and housing units in urbanized areas and in places of more than 2,500 persons outside of urbanized areas. "Urban" classification cuts across other hierarchies and can be in metropolitan or non-metropolitan areas.  An “urbanized area” consists of a central place(s) and adjacent territory with a general population density of at least 1,000 people per square mile of land area that together have a minimum residential population of at least 50,000 people. The Census Bureau uses published criteria to determine the qualification and boundaries of UAs. “Rural” consists of territory, population and housing units not classified as urban. The "rural" classification cuts across other hierarchies and can be in metropolitan or non-metropolitan areas.

 

Rural-urban Continuum Codes form a classification scheme that distinguishes metropolitan (metro) counties by the population size of their metro area, and nonmetropolitan (nonmetro) counties by degree of urbanization and adjacency to a metro area or areas. The metro and nonmetro categories have been subdivided into three metro and six nonmetro groupings, resulting in a nine-part county codification. The codes allow researchers working with county data to break such data into finer residential groups beyond a simple metro-nonmetro dichotomy, particularly for the analysis of trends in nonmetro areas that may be related to degree of rurality and metro proximity.

 

Code Description

Metro counties:

1        Counties of metro areas of 1 million population or more.

2        Counties in metro areas of 250,000 to 1 million population.

3        Counties in metro areas of fewer than 250,000 population.

Nonmetro counties:

4        Urban population of 20,000 or more, adjacent to a metro area.

5        Urban population of 20,000 or more, not adjacent to a metro area.

6        Urban population of 2,500 to 19,999, adjacent to a metro area.

7        Urban population of 2,500 to 19,999, not adjacent to a metro area.

8        Completely rural or less than 2,500 urban population, adjacent to a metro area.

9        Completely rural or less than 2,500 urban population, not adjacent to a metro area.

 

Metropolitan, Micropolitan and Combined Statistical Areas:  2003

 

The general concept of a metropolitan or micropolitan statistical area is that of a core area containing a substantial population nucleus, together with adjacent communities having a high degree of economic and social integration with that core.

 

The term "core based statistical area" (CBSA) became effective in 2000 and refers collectively to metropolitan and micropolitan statistical areas. The 2000 standards provide that each CBSA must contain at least one urban area of 10,000 or more population. Each metropolitan statistical area must have at least one urbanized area of 50,000 or more inhabitants. Each micropolitan statistical area must have at least one urban cluster of at least 10,000 but less than 50,000 population. Under the standards, the county (or counties) in which at least 50 percent of the population resides within urban areas of 10,000 or more population, or that contain at least 5,000 people residing within a single urban area of 10,000 or more population, is identified as a "central county" (counties).  Additional "outlying counties" are included in the CBSA if they meet specified requirements of commuting to or from the central counties.

 

If specified criteria are met, adjacent metropolitan and micropolitan statistical areas, in various combinations, may become the components of a new set of areas called Combined Statistical Areas (CSA). For instance, a combined statistical area may comprise two or more metropolitan statistical areas, a metropolitan statistical area and a micropolitan statistical area, two or more micropolitan statistical areas, or multiple metropolitan and micropolitan statistical areas.

 

 

PUBLIC ASSISTANCE

 

Child Protective Services:  2002

 

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.

 

VITAL STATISTICS

 

Births, Total and by Race:  1992-2001

Crude Birth Rate = [Total Live Births / Total Population] * 1,000

 

Induced Terminations:  1992-2001

General Induced Termination Rate =

[Total Induced Terminations / Total Females age 15-44] * 1,000

 

Teen Pregnancy:  2001

Teen Pregnancy Rate = [Total Teen Pregnancies / Total Fem. age 10-19] * 1,000

 

Deaths, Total and by Race:  1992-2001

Crude Death Rate = [Total Population / Total Deaths] * 100,000

 

Deaths by Lifestage:  2001

Infant Death Rate = [Deaths < 1 Yr. of Age / Total Live Births] * 1,000

 

Deaths; Suicides & Homicides:  1992-2001

Suicide Rate = [Total Suicides / Total Population] * 100,000

Homicide Rate = [Total Homicides / Total Population] * 100,000

Teen Suicide Rate = [Total Teen Suicides / Total Pop. ages 10-19] * 100,000

 



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