Liesl Eathington Iowa Community Indicators Program Iowa State University October 2014.
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Transcript of Liesl Eathington Iowa Community Indicators Program Iowa State University October 2014.
Social, Demographic, and Economic Data for Iowa
Liesl EathingtonIowa Community Indicators ProgramIowa State UniversityOctober 2014
Uses for Socio-Economic Data
Measure population groups of interest(age, race, ethnicity, ...)
Identify need (poverty status, educational attainment, health insurance status, ...)
Compare regions(income, health behaviors, ...)
Types of Data
Primary - data we collect directly field research, surveys, case studies, etc. collected for a specific purpose
Secondary - data collected by somebody else census, surveys, administrative records,
published or unpublished research secondary usage may differ from primary
purpose
Secondary Data About People
EASY TO FIND Place of residence
Gender
Age
Race and ethnicity
Educational attainment
Income
Secondary Data About People
HARDER TO FIND
Current health status
Health history
Smoking
Diet
Other health behaviors
Key Sources for Secondary Data
U.S. Census Bureau Decennial Census Annual Estimates of Population and Housing American Community Survey Current Population Survey
Iowa Department of Public Health CDC - BRFSS
Behavioral Risk Factor Surveillance System
CDC Health Indicators Warehouse
American Community Survey (ACS) U.S. Census Bureau
High geographic detail
Rolling sample
Describes households and individuals
Measures demographic and socio-economic characteristics
Widely used
Easily accessible
Types of Data Available from the American Community Survey
Demographic
Age and sex
Race and ethnicity
Social Family relationships, language
Disability status, educational attainment
Economic Income and poverty
Employment status
Housing Ownership, age of unit
Costs
Personal Characteristics in the ACS
Demographics
• Age• Sex• Race• Ethnicity
Disability Status
• Cognitive difficulty
• Ambulatory difficulty
• Independent living difficulty
• Self-care difficulty• Vision or hearing
difficulty
Vital Statistics of IowaIowa Department of Public Health
Published annually
Births, deaths, marriages & dissolutions
Deaths by selected causes
Detail by race, age group, or county
http://www.idph.state.ia.us/apl/common/pdf/health_statistics/2012/vital_stats_2012.pdf
BRFSSCenters for Disease Control and Prevention
Behavioral Risk Factor Surveillance System
Telephone health survey of adults 18+ years
State and federal partnership Continuous data collection Covers health-related risk behaviors,
chronic health conditions, and use of preventive services
Other Useful Data Sites
CDC BRFSS State Trends Data http://apps.nccd.cdc.gov/brfss/
National Cancer Institute State Cancer Profiles http://statecancerprofiles.cancer.gov/ind
ex.html KIDS COUNT
http://datacenter.kidscount.org/locations Administration on Aging AGID
http://www.agid.acl.gov/Default.aspx
CDC BRFSSPrevalence and Trends Data
http://apps.nccd.cdc.gov/brfss/
State-level data
Compare years or states
View by gender, age, race, income, or education
National Cancer Institute (NIH) State Cancer Profiles
http://statecancerprofiles.cancer.gov/index.html
Multiple data sources
Generates maps, tables, or charts
Demographic and socio-economic indicators
Cancer screening, incidence, prevalence, and mortality
http://statecancerprofiles.cancer.gov/index.html
Links for Iowa Data
www.icip.iastate.edu
www.iowadatacenter.org
http://www.idph.state.ia.us/
https://www.educateiowa.gov/
http://www.public-health.uiowa.edu/factbo
ok/
Iowa Community Indicators Program
www.icip.iastate.edu
County, city, and state level data tables for “key” indicators
Special reports Poverty and food
needs School district data
profiles
Tips for Data Use
Margins of error Period estimates Analyzing trend
Percentage change Index of change Adjusting for inflation
Understanding Margin of Error
Sampling error Arises when data are gathered from a
sample rather than the full population Margin of error (MOE)
A measure of sampling error Describes precision of an estimate at a
given confidence level MOEs should not be ignored
Understanding Period Estimates
Period estimate Describes average characteristics over a
time period of specified length Example: ACS estimates
Point-in-time estimate Captures conditions on the day of
measurement Example: Decennial Census
Period estimates more difficult for analyzing trends
Tips for Analyzing Trend
Percentage change (( New Number / Old Number ) – 1 ) * 100
Index of change Divide values for all years by beginning year
value, so first year = 100%
Inflation adjustment If working with dollar values, adjust for
inflation For help, try an online calculator BLS CPI Calculator (http://data.bls.gov/cgi-bin/cpicalc.pl)
75%
100%
125%
150%
175%Iowa and U.S. Population
Growth TrendsUnited States
Iowa
19
69
Pop
ula
tion
= 1
00
Perc
en
t
0
20,000
40,000
60,000
80,00019
40
1945
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
Iowa Natural Population ChangeBirths Deaths
-60,000
-40,000
-20,000
0
20,00019
8119
8219
8319
8419
8519
8619
8719
8819
89
1991
1992
1993
1994
1995
1996
1997
1998
1999
2001
2002
2003
2004
2005
2006
2007
2008
2009
2011
2012
2013
Iowa Net Migration Trends
5.0% 3.0% 1.0% 1.0% 3.0% 5.0%
Under 5
5 to 9
10 to 14
15 to 19
20 to 24
25 to 29
30 to 34
35 to 39
40 to 44
45 to 49
50 to 54
55 to 59
60 to 64
65 to 69
70 to 74
75 to 79
80 to 84
85 and over
Iowa Population by Age and Sex, 1980Male Female
5.0% 3.0% 1.0% 1.0% 3.0% 5.0%
Under 5
5 to 9
10 to 14
15 to 19
20 to 24
25 to 29
30 to 34
35 to 39
40 to 44
45 to 49
50 to 54
55 to 59
60 to 64
65 to 69
70 to 74
75 to 79
80 to 84
85 and over
Iowa Population by Age and Sex, 2010Male Female
13.3%Elderly 15.3%
Elderly
14.9%Elderly
14.9%Elderly
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
1980 1990 2000 2010
Mill
ions
Iowa Population by Age GroupUnder 20 20-44 45-64 65 and older
US elderly in 2010 = 13%
3.1%Minority 4.1%
Minority
7.4%Minority
11.3%Minority
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
1980 1990 2000 2010
Mill
ions
Iowa Population by Race and EthnicityWhite Alone, Not Hispanic Other Race, Not Hispanic Hispanic, Any Race
US minority population in 2010 = 36%