SlideShare uma empresa Scribd logo
1 de 37
Baixar para ler offline
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• For those dialing in: All phones are muted
• Submit questions using the chat window at any time
during the webinar
• Troubleshooting:
• Call Readytalk’s help line: (800) 843-9166
• Ask for help using the chat feature
• Download the slides at
http://www.shadac.org/estimateswebinar
• Webinar archive will be posted on SHADAC’s web site
• E-mail notice will be sent to participants
2
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
3
Julie Sonier
SHADAC
Deputy Director
Joanna Turner
SHADAC
Senior Research Fellow
Brett O’Hara
Chief, Health and Disability Statistics
Branch, U.S. Census Bureau
Jennifer Day
Assistant Division Chief for
Employment Characteristics,
U.S. Census Bureau
Lucinda Dalzell
Chief, Small Area Estimates Branch,
U.S. Census Bureau
Mark Bauder
Mathematical Statistician,
U.S. Census Bureau
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• Current Population Survey (CPS)
• 2012 estimates released September 17, 2013
• American Community Survey (ACS)
• 2012 estimates released September 19, 2013
• Small Area Health Insurance Estimates (SAHIE)
• 2011 estimates released August 29, 2013
4
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
5
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
6
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
CPS
• 2-year averages: changes
in state estimates over time
• 3-year averages: compare
across states within a year
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
7
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
8
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
ACS
Census Bureau published
estimates restricted to the
civilian non-
institutionalized population
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
9
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
10
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
Data Sources for SAHIE:
• ACS
• Population estimates
• Federal income tax returns
• Supplemental Nutrition
Assistance program records
• County Business Patterns
• Medicaid/CHIP records
• 2010 Census
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Method Survey of civilian
non-institutionalized
population
Survey of U.S.
population (including
group quarters)
Combine ACS
estimates with
administrative data
Annual housing
units interviewed
About 76,000 About 2.3 million N/A
Geography Nation, states Nation, states, sub-
state
Nation, state,
county
Mode Phone and in-
person
Mail, phone, and in-
person
N/A
Uninsurance:
Measure
Uninsured all year Point-in-time Point-in-time
Uninsurance:
Years available
1987 to 2012 2008 to 2012 2008 to 2011
(Using the ACS)*
11
* SAHIE estimates using the CPS available for 2000, 2001, and
2005 to 2007
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Coverage types Uninsured, Insured
Private
• Employer
• Direct purchase
Public
• Medicare
• Medicaid
• Military
(TRICARE & VA)
Uninsured, Insured
Private
• Employer
• Direct purchase
• TRICARE
Public
• Medicare
• Medicaid
• VA
Uninsured, Insured
Disability status Yes Yes No
Health status Yes No No
Employer size Yes No No
Medical out-of-
pocket
expenditures
Yes No No
Housing values No Yes No
12
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS ACS SAHIE
Trends over long
time period

1987 forward
State estimates 
2-year averages

Sub-state
estimates

1-yr for pop > 65,000
3-yr for pop > 20,000
5-yr for pop < 20,000

1-year for all
counties
Small
subpopulations
 
Age, income,
poverty, sex,
race/ethnicity (state
only)
Coverage by type   Under investigation
Custom tabs
from microdata
 
13
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
CPS and ACS
14
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
15
Private Health
Insurance
Public
Coverage
Uninsured
0
10
20
30
40
50
60
70
80
2008 2009 2010 2011 2012
Percent
Solid lines indicate CPS; Dotted lines indicate ACS.
‘11-’12
Change
ACS -0.1
CPS −
CPS +0.4*
ACS +0.6*
CPS -0.3*
ACS -0.4*
* Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval.
− Represents or rounds to zero.
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
16
Private Health
Insurance
Public
Coverage
Uninsured
0
10
20
30
40
50
60
70
80
2008 2009 2010 2011 2012
Percent
Solid lines indicate CPS; Dotted lines indicate ACS.
‘11-’12
Change
CPS +0.7
ACS -0.5*
CPS +0.4
ACS +0.8*
CPS -0.5*
ACS -0.3*
* Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval.
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
17
Under 18
19 to 25
18 to 64
Under 65
65 and over
0
5
10
15
20
25
30
35
2008 2009 2010 2011 2012
Percent
Solid lines indicate CPS; Dotted lines indicate ACS.
‘11-’12
Change
CPS -0.5
ACS -1.6*
CPS -0.2
ACS -0.3*
CPS -0.3
ACS -0.3*
CPS -0.5*
ACS -0.3*
CPS -0.2
ACS −
* Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval.
− Represents or rounds to zero.
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
18
White
alone
Black
alone
Hispanic
0
5
10
15
20
25
30
35
2008 2009 2010 2011 2012
Percent
Solid lines indicate CPS; Dotted lines indicate ACS.
‘11-’12
Change
CPS -1.0*
ACS -0.8*
CPS -0.5
ACS -0.4*
CPS -0.2
ACS -0.3*
* Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval.
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
19
Source: U.S. Census Bureau ACS Brief
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
20
Source: U.S. Census Bureau ACS Brief
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• 2 new detailed health insurance coverage tables for
young adults 19-25 (B27022 & B27023)
• Young adults added to table S2701 – total uninsured
19-25
• 113th Congressional Districts available
• First release based on 2010 Census definitions for
Public Use Microdata Areas (PUMAs), Urban Areas,
and Urban/Rural
21
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• Public Use Microdata Samples (PUMS) available fall
2013
• 1% public use microdata sample (1% of population)
• The smallest identifiable geographic unit is the PUMA,
containing at least 100,000 persons
• PUMAs are generally groups of counties or parts of counties,
but there are exceptions
• PUMAs do not cross state boundaries
22
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• 2010-2012 3-year estimates for areas with
population >20,000
• American FactFinder release: October 24
• PUMS: TBD
• 2008-2012 5-year estimates for all geographic areas
• American FactFinder release: December 5
• PUMS: TBD
• First 5-year file with health insurance coverage
estimates
23
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• 2012 CPS data will be available soon
• SHADAC-Enhanced CPS will be available soon
• ACS data files will be released about 1-2 weeks after
available from the Census Bureau
• SHADAC Health Insurance Unit (HIU) and Federal
Poverty Guidelines (FPG) variables for 2012 CPS
and ACS will be available soon
24
http://www.ipums.org
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• Updating with:
• 2012 CPS
• 2012 SHADAC-
Enhanced CPS
• 2012 ACS
25
http://www.shadac.org/datacenter
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• Health insurance coverage (Pascale, 2013 JSM)
• Improved all year coverage measure
• Add point-in-time coverage measure
• New questions to measure exchange participation
• New questions on employer offered health insurance
coverage
• Income (Semega and Welniak, 2013 JSM)
• Improve data quality, take better advantage of an
automated instrument, reflect changing retirement
environment, improve clarification and reporting of asset
income
26
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
SAHIE
27
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
28
http://www.census.gov/did/www/sahie/
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
29
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
30
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
31
Source: U.S. Census Bureau
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
32
Source: U.S. Census Bureau
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• Updated health insurance page
• http://www.census.gov/hhes/www/hlthins/index.html
• American FactFinder summary tables
• http://factfinder2.census.gov
• “Mitigating the Loss of Private Insurance with Public
Coverage for Under-65 Population: 2008 to 2012”
(ACS Brief)
• http://www.census.gov/prod/2013pubs/acsbr12-11.pdf
33
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• Updated SAHIE page
• http://www.census.gov/did/www/sahie
• Guidance on when to use different data sources
• http://www.census.gov/hhes/www/hlthins/about/index.html
34
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• “Comparing Federal Government Surveys that Count
the Uninsured”
• http://shadac.org/publications/comparingfedsurveys2013
• “Small Area Health Insurance Estimates from the
Census Bureau: 2008 and 2009” (Brief #26)
• http://www.shadac.org/files/shadac/publications/SHADAC
_Brief26.pdf
35
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
• ACS tables from American FactFinder showing
change in health insurance coverage for states and
counties
• http://shadac.org/acscomparisontables2013
36
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
www.shadac.org
@shadac
Direct inquires to
Joanna Turner, turn0053@umn.edu
or shadac@umn.edu

Mais conteúdo relacionado

Semelhante a Acs cps-sahie-webinar final

Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...
Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...
Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...
soder145
 
Data Mining for Community Needs Assessments
Data Mining for Community Needs AssessmentsData Mining for Community Needs Assessments
Data Mining for Community Needs Assessments
Avery Eenigenburg
 
American Community Survey and the Census
American Community Survey and the CensusAmerican Community Survey and the Census
American Community Survey and the Census
Lynda Kellam
 
Pres appam nov9_gonzales
Pres appam nov9_gonzalesPres appam nov9_gonzales
Pres appam nov9_gonzales
soder145
 
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
soder145
 
Panel #1: Demographic and Economic Considerations for Future Housing Needs
Panel #1: Demographic and Economic Considerations for Future Housing NeedsPanel #1: Demographic and Economic Considerations for Future Housing Needs
Panel #1: Demographic and Economic Considerations for Future Housing Needs
Heartland2050
 

Semelhante a Acs cps-sahie-webinar final (20)

Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...
Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...
Medicaid Reporting in the ACS: Findings from Linked Administrative and Survey...
 
Data Mining for Community Needs Assessments
Data Mining for Community Needs AssessmentsData Mining for Community Needs Assessments
Data Mining for Community Needs Assessments
 
The Future of Survey Research March 2017
The Future of Survey Research March 2017The Future of Survey Research March 2017
The Future of Survey Research March 2017
 
GIS Expo 2014: Progress on the GSSI Initiative & Updates on the Census.gov We...
GIS Expo 2014: Progress on the GSSI Initiative & Updates on the Census.gov We...GIS Expo 2014: Progress on the GSSI Initiative & Updates on the Census.gov We...
GIS Expo 2014: Progress on the GSSI Initiative & Updates on the Census.gov We...
 
Understanding disparities using the American Community Survey - Sean Green, M...
Understanding disparities using the American Community Survey - Sean Green, M...Understanding disparities using the American Community Survey - Sean Green, M...
Understanding disparities using the American Community Survey - Sean Green, M...
 
NADO Conference - Equity and Regional Economic Development Oct2022.pdf
NADO Conference - Equity and Regional Economic Development Oct2022.pdfNADO Conference - Equity and Regional Economic Development Oct2022.pdf
NADO Conference - Equity and Regional Economic Development Oct2022.pdf
 
FCS_Presentation
FCS_PresentationFCS_Presentation
FCS_Presentation
 
American Community Survey and the Census
American Community Survey and the CensusAmerican Community Survey and the Census
American Community Survey and the Census
 
Pres appam nov9_gonzales
Pres appam nov9_gonzalesPres appam nov9_gonzales
Pres appam nov9_gonzales
 
Datag Annual Testing Accountabilty Discussion 10 081
Datag Annual Testing Accountabilty Discussion 10 081Datag Annual Testing Accountabilty Discussion 10 081
Datag Annual Testing Accountabilty Discussion 10 081
 
Datag Annual Testing Accountabilty Discussion 10 081
Datag Annual Testing Accountabilty Discussion 10 081Datag Annual Testing Accountabilty Discussion 10 081
Datag Annual Testing Accountabilty Discussion 10 081
 
Data Presentation for ServiceLink of Carroll County by Jess Carson
Data Presentation for ServiceLink of Carroll County by Jess CarsonData Presentation for ServiceLink of Carroll County by Jess Carson
Data Presentation for ServiceLink of Carroll County by Jess Carson
 
India sample registration system
India sample registration systemIndia sample registration system
India sample registration system
 
American Community Survey
American Community SurveyAmerican Community Survey
American Community Survey
 
Webinar for LSC grantees, Estimating LSC Funding Changes Based on Shifts in t...
Webinar for LSC grantees, Estimating LSC Funding Changes Based on Shifts in t...Webinar for LSC grantees, Estimating LSC Funding Changes Based on Shifts in t...
Webinar for LSC grantees, Estimating LSC Funding Changes Based on Shifts in t...
 
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
Establishing a Baseline for the Affordable Care Act: How Accessible and Affor...
 
District 92 in new york state
District 92 in new york stateDistrict 92 in new york state
District 92 in new york state
 
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
 
Panel #1: Demographic and Economic Considerations for Future Housing Needs
Panel #1: Demographic and Economic Considerations for Future Housing NeedsPanel #1: Demographic and Economic Considerations for Future Housing Needs
Panel #1: Demographic and Economic Considerations for Future Housing Needs
 
Towards an administrative data census the story so far
Towards an administrative data census   the story so farTowards an administrative data census   the story so far
Towards an administrative data census the story so far
 

Mais de soder145

Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health CompareExploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
soder145
 
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand? Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
soder145
 

Mais de soder145 (20)

Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...
 
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
 
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
 
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
 
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health CompareExploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
 
Ibd intersectionality
Ibd intersectionalityIbd intersectionality
Ibd intersectionality
 
Who gets it right
Who gets it rightWho gets it right
Who gets it right
 
Mn ltss projection model
Mn ltss projection modelMn ltss projection model
Mn ltss projection model
 
Modeling financial eligibility, ltss
Modeling financial eligibility, ltssModeling financial eligibility, ltss
Modeling financial eligibility, ltss
 
Poster, advancements in care coordination mn sim
Poster, advancements in care coordination mn simPoster, advancements in care coordination mn sim
Poster, advancements in care coordination mn sim
 
Poster, section 1115 waivers
Poster, section 1115 waiversPoster, section 1115 waivers
Poster, section 1115 waivers
 
Modeling state based reinsurance
Modeling state based reinsuranceModeling state based reinsurance
Modeling state based reinsurance
 
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPSComparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
 
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
 
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
 
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health InsuranceThe Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
 
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand? Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
 
Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21
 
2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts
 
Adding complexity to an already difficult task: Monitoring the impact of the ...
Adding complexity to an already difficult task: Monitoring the impact of the ...Adding complexity to an already difficult task: Monitoring the impact of the ...
Adding complexity to an already difficult task: Monitoring the impact of the ...
 

Último

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Último (20)

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 

Acs cps-sahie-webinar final

  • 1.
  • 2. Click to edit Master text styles Second level Third level Fourth level Fifth level • For those dialing in: All phones are muted • Submit questions using the chat window at any time during the webinar • Troubleshooting: • Call Readytalk’s help line: (800) 843-9166 • Ask for help using the chat feature • Download the slides at http://www.shadac.org/estimateswebinar • Webinar archive will be posted on SHADAC’s web site • E-mail notice will be sent to participants 2
  • 3. Click to edit Master text styles Second level Third level Fourth level Fifth level 3 Julie Sonier SHADAC Deputy Director Joanna Turner SHADAC Senior Research Fellow Brett O’Hara Chief, Health and Disability Statistics Branch, U.S. Census Bureau Jennifer Day Assistant Division Chief for Employment Characteristics, U.S. Census Bureau Lucinda Dalzell Chief, Small Area Estimates Branch, U.S. Census Bureau Mark Bauder Mathematical Statistician, U.S. Census Bureau
  • 4. Click to edit Master text styles Second level Third level Fourth level Fifth level • Current Population Survey (CPS) • 2012 estimates released September 17, 2013 • American Community Survey (ACS) • 2012 estimates released September 19, 2013 • Small Area Health Insurance Estimates (SAHIE) • 2011 estimates released August 29, 2013 4
  • 5. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 5 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007
  • 6. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 6 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007 CPS • 2-year averages: changes in state estimates over time • 3-year averages: compare across states within a year
  • 7. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 7 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007
  • 8. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 8 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007 ACS Census Bureau published estimates restricted to the civilian non- institutionalized population
  • 9. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 9 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007
  • 10. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 10 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007 Data Sources for SAHIE: • ACS • Population estimates • Federal income tax returns • Supplemental Nutrition Assistance program records • County Business Patterns • Medicaid/CHIP records • 2010 Census
  • 11. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Method Survey of civilian non-institutionalized population Survey of U.S. population (including group quarters) Combine ACS estimates with administrative data Annual housing units interviewed About 76,000 About 2.3 million N/A Geography Nation, states Nation, states, sub- state Nation, state, county Mode Phone and in- person Mail, phone, and in- person N/A Uninsurance: Measure Uninsured all year Point-in-time Point-in-time Uninsurance: Years available 1987 to 2012 2008 to 2012 2008 to 2011 (Using the ACS)* 11 * SAHIE estimates using the CPS available for 2000, 2001, and 2005 to 2007
  • 12. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Coverage types Uninsured, Insured Private • Employer • Direct purchase Public • Medicare • Medicaid • Military (TRICARE & VA) Uninsured, Insured Private • Employer • Direct purchase • TRICARE Public • Medicare • Medicaid • VA Uninsured, Insured Disability status Yes Yes No Health status Yes No No Employer size Yes No No Medical out-of- pocket expenditures Yes No No Housing values No Yes No 12
  • 13. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS ACS SAHIE Trends over long time period  1987 forward State estimates  2-year averages  Sub-state estimates  1-yr for pop > 65,000 3-yr for pop > 20,000 5-yr for pop < 20,000  1-year for all counties Small subpopulations   Age, income, poverty, sex, race/ethnicity (state only) Coverage by type   Under investigation Custom tabs from microdata   13
  • 14. Click to edit Master text styles Second level Third level Fourth level Fifth level CPS and ACS 14
  • 15. Click to edit Master text styles Second level Third level Fourth level Fifth level 15 Private Health Insurance Public Coverage Uninsured 0 10 20 30 40 50 60 70 80 2008 2009 2010 2011 2012 Percent Solid lines indicate CPS; Dotted lines indicate ACS. ‘11-’12 Change ACS -0.1 CPS − CPS +0.4* ACS +0.6* CPS -0.3* ACS -0.4* * Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval. − Represents or rounds to zero.
  • 16. Click to edit Master text styles Second level Third level Fourth level Fifth level 16 Private Health Insurance Public Coverage Uninsured 0 10 20 30 40 50 60 70 80 2008 2009 2010 2011 2012 Percent Solid lines indicate CPS; Dotted lines indicate ACS. ‘11-’12 Change CPS +0.7 ACS -0.5* CPS +0.4 ACS +0.8* CPS -0.5* ACS -0.3* * Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval.
  • 17. Click to edit Master text styles Second level Third level Fourth level Fifth level 17 Under 18 19 to 25 18 to 64 Under 65 65 and over 0 5 10 15 20 25 30 35 2008 2009 2010 2011 2012 Percent Solid lines indicate CPS; Dotted lines indicate ACS. ‘11-’12 Change CPS -0.5 ACS -1.6* CPS -0.2 ACS -0.3* CPS -0.3 ACS -0.3* CPS -0.5* ACS -0.3* CPS -0.2 ACS − * Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval. − Represents or rounds to zero.
  • 18. Click to edit Master text styles Second level Third level Fourth level Fifth level 18 White alone Black alone Hispanic 0 5 10 15 20 25 30 35 2008 2009 2010 2011 2012 Percent Solid lines indicate CPS; Dotted lines indicate ACS. ‘11-’12 Change CPS -1.0* ACS -0.8* CPS -0.5 ACS -0.4* CPS -0.2 ACS -0.3* * Within-survey change from 2011 to 2012 is statistically significant at the 90 percent confidence interval.
  • 19. Click to edit Master text styles Second level Third level Fourth level Fifth level 19 Source: U.S. Census Bureau ACS Brief
  • 20. Click to edit Master text styles Second level Third level Fourth level Fifth level 20 Source: U.S. Census Bureau ACS Brief
  • 21. Click to edit Master text styles Second level Third level Fourth level Fifth level • 2 new detailed health insurance coverage tables for young adults 19-25 (B27022 & B27023) • Young adults added to table S2701 – total uninsured 19-25 • 113th Congressional Districts available • First release based on 2010 Census definitions for Public Use Microdata Areas (PUMAs), Urban Areas, and Urban/Rural 21
  • 22. Click to edit Master text styles Second level Third level Fourth level Fifth level • Public Use Microdata Samples (PUMS) available fall 2013 • 1% public use microdata sample (1% of population) • The smallest identifiable geographic unit is the PUMA, containing at least 100,000 persons • PUMAs are generally groups of counties or parts of counties, but there are exceptions • PUMAs do not cross state boundaries 22
  • 23. Click to edit Master text styles Second level Third level Fourth level Fifth level • 2010-2012 3-year estimates for areas with population >20,000 • American FactFinder release: October 24 • PUMS: TBD • 2008-2012 5-year estimates for all geographic areas • American FactFinder release: December 5 • PUMS: TBD • First 5-year file with health insurance coverage estimates 23
  • 24. Click to edit Master text styles Second level Third level Fourth level Fifth level • 2012 CPS data will be available soon • SHADAC-Enhanced CPS will be available soon • ACS data files will be released about 1-2 weeks after available from the Census Bureau • SHADAC Health Insurance Unit (HIU) and Federal Poverty Guidelines (FPG) variables for 2012 CPS and ACS will be available soon 24 http://www.ipums.org
  • 25. Click to edit Master text styles Second level Third level Fourth level Fifth level • Updating with: • 2012 CPS • 2012 SHADAC- Enhanced CPS • 2012 ACS 25 http://www.shadac.org/datacenter
  • 26. Click to edit Master text styles Second level Third level Fourth level Fifth level • Health insurance coverage (Pascale, 2013 JSM) • Improved all year coverage measure • Add point-in-time coverage measure • New questions to measure exchange participation • New questions on employer offered health insurance coverage • Income (Semega and Welniak, 2013 JSM) • Improve data quality, take better advantage of an automated instrument, reflect changing retirement environment, improve clarification and reporting of asset income 26
  • 27. Click to edit Master text styles Second level Third level Fourth level Fifth level SAHIE 27
  • 28. Click to edit Master text styles Second level Third level Fourth level Fifth level 28 http://www.census.gov/did/www/sahie/
  • 29. Click to edit Master text styles Second level Third level Fourth level Fifth level 29
  • 30. Click to edit Master text styles Second level Third level Fourth level Fifth level 30
  • 31. Click to edit Master text styles Second level Third level Fourth level Fifth level 31 Source: U.S. Census Bureau
  • 32. Click to edit Master text styles Second level Third level Fourth level Fifth level 32 Source: U.S. Census Bureau
  • 33. Click to edit Master text styles Second level Third level Fourth level Fifth level • Updated health insurance page • http://www.census.gov/hhes/www/hlthins/index.html • American FactFinder summary tables • http://factfinder2.census.gov • “Mitigating the Loss of Private Insurance with Public Coverage for Under-65 Population: 2008 to 2012” (ACS Brief) • http://www.census.gov/prod/2013pubs/acsbr12-11.pdf 33
  • 34. Click to edit Master text styles Second level Third level Fourth level Fifth level • Updated SAHIE page • http://www.census.gov/did/www/sahie • Guidance on when to use different data sources • http://www.census.gov/hhes/www/hlthins/about/index.html 34
  • 35. Click to edit Master text styles Second level Third level Fourth level Fifth level • “Comparing Federal Government Surveys that Count the Uninsured” • http://shadac.org/publications/comparingfedsurveys2013 • “Small Area Health Insurance Estimates from the Census Bureau: 2008 and 2009” (Brief #26) • http://www.shadac.org/files/shadac/publications/SHADAC _Brief26.pdf 35
  • 36. Click to edit Master text styles Second level Third level Fourth level Fifth level • ACS tables from American FactFinder showing change in health insurance coverage for states and counties • http://shadac.org/acscomparisontables2013 36
  • 37. Click to edit Master text styles Second level Third level Fourth level Fifth level www.shadac.org @shadac Direct inquires to Joanna Turner, turn0053@umn.edu or shadac@umn.edu