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Data Resources and Support: Area Resource File (ARF)

Support for locating and working with datasets, statistical information, and geographic data.

Area Resource File, 2005 Release

The Area Resource File is a database of health resources data, measured at the county level for over 6,000 indicators. The information includes measures of employment in various health professions including numbers of professionals registered as M.D., D.O., DDS, R.N., L.P.N., veterinarian, pharmacist, optometrist, podiatrist, and dental hygienist; availability of health facilities including hospital size, type, utilization, staffing and services, and nursing home data; frequency of utilization including utilization rates, inpatient days, outpatient visits and operations data; hospital and Medicare expenditures and demographic and geographic indicators by county. The information is collected from several sources which are noted in the technical documentation and provided by the Bureau of Health Professions, Health Resources and Services Administration of the US Department of Health and Human Services. This information has also been collected for earlier years in an earlier distribution which is available through the Inter-University Consortium for Political and Social Research (ICPSR) data holdings as Study #9075.

The Area Resource File data are provided by the Electronic Data Center in various formats: SAS (XPORT), SPSS (.sav and .por), and Stata. The data are available for use by Emory students, faculty and staff. They are also provided as a whole, and in smaller datasets that are divided into broad subjects (Professions, Population, Facilities and Expenditures and Utilization). They are provided in both wide (cross-sectional) and long (time-series) formats.

PLEASE NOTE THAT SEVERAL OF THESE FILES ARE VERY LARGE. They may exceed the size limits for spreadsheet programs such as Microsoft Excel. If you need assistance getting ARF data into a particular format, please contact the Electronic Data Center staff.

The subject files are smaller because they are created by breaking the complete files into pieces by subject. Downloading these individually may prove faster and more manageable. Note that each subject file includes county identification variables for merging purposes.


Complete Area Resource File
SAS (*.xpt)
SPSS (*.sav)
SPSS (*.por)
Stata (*.dta)

arf2005_wide.xpt (155M)

arf2005_wide.sav (50M)

arf2005_wide.por (63M)

arf2005_wide.dta (46M)

arf2005_long.xpt (2.7G)

arf2005_long.sav (391M)

arf2005_long.por (733M)

arf2005_long.dta (854M)


Area Resource File, by Main Subject
Subject
SAS (*.xpt)
SPSS (*.sav)
SPSS (*.por)
Stata (*.dta)

Professions (Wide)

professions_wide.xpt

professions_wide.sav

professions_wide.por

professions_wide.dta

Professions (Long)

professions_long.xpt

professions_long.sav

professions_long.por

professions_long.dta

Facilities (Wide)

facilities_wide.xpt

facilities_wide.sav

facilities_wide.por

facilities_wide.dta

Facilities (Long)

facilities_long.xpt

facilities_long.sav

facilities_long.por

facilities_long.dta

Expenditures and Utilization (Wide)

expend_wide.xpt

expend_wide.sav

expend_wide.por

expend_wide.dta

Expenditures and Utilization (Long)

expend_long.xpt

expend_long.sav

expend_long.por

expend_long.dta

Population (Wide)

population_wide.xpt

population_wide.sav

population_wide.por

population_wide.dta

Population (Long)

population_long.xpt

population_long.sav

population_long.por

population_long.dta


User Documentation for the 2005 Area Resource File

 
Other Resources and Links for the Area Resource File Data:

Area Resource File (ARF): National County-Level Health Resource Information Database - The Homepage for the Area Resource File Data

ICPSR Study #9075: Bureau of Health Professions Area Resource File, 1940-1990 - An older version of the Area Resource File hosted by the ICPSR

Data Services

Robert O'Reilly, Ph.D's picture
Robert O'Reilly, Ph.D
Contact:
404-727-6129 (P)

roreill@emory.edu

Emory Center for Digital Scholarship (ECDS)

Woodruff Library, 3rd Floor

ECDS Hours: Monday-Friday, 9:00AM-5:00PM

We help researchers with locating quantitative data and with cleaning and preparing data for analysis.
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