Benefits and Costs of Mitigation Natural Hazards Workshop, 2004 Linda B. Bourque Southern California Injury Prevention Research Center, Center for Public.

Slides:



Advertisements
Similar presentations
The Alcohol and Drug Abuse Administration State Care Coordination 1.
Advertisements

JUNE FLOODS AND STORMS Preliminary Damage Assessment Brief
Culpepper Garden is an Arlington non-profit that provides housing and services to 340 low to moderate income seniors for independent living & supportive.
Using Mitigation Planning to Reduce Disaster Losses Karen Helbrecht and Kathleen W. Smith United States: Federal Emergency Management Agency (FEMA) May.
U.S. Department of Veterans Affairs Veterans Health Administration Supportive Services for Veteran Families (SSVF) Program SSVF Grantee Uniform Monitoring.
Indianapolis-Carmel MSA
Alabama’s Floodplain Management Program Tom Littlepage Alabama Office of Water Resources.
Dissemination of U.S. Census Data and Results: The role of ICPSR First Conference of Al-Khawarezmi Committee on Statistics Doha, Qatar 6-8 December 2010.
Risk of Low Birth Weight Associated with Family Poverty in Korea Bong Joo Lee Se Hee Lim Department of Social Welfare, Seoul National University. A Paper.
Resilience Meeting: [Watershed Name] [LOCATION] [DATE]
Update Training Meeting
Environmental Justice (EJ) & Community-Based Transportation Planning (CBTP) Grant Programs California Department of Transportation District 3 January 25,
Migration Patterns and Mover Characteristics from the 2005 ACS Gulf Coast Area Special Products Kin Koerber Housing and Household Economic Statistics Division.
Introduction to the State-Level Mitigation 20/20 TM Software for Management of State-Level Hazard Mitigation Planning and Programming A software program.
Project Management Committee Meeting Washington, D.C. September 21, 2004 Independent Study to Assess Future Savings from Mitigation, Track B Telephone.
Demographic Trends and Missouri’s Children Missouri State Board of Education April 21, 2005 Dr. Bill Elder University of Missouri-Columbia Office of Social.
Hazard and Vulnerability Assessment
Independent Study to Assess Future Savings from Mitigation Track B Progress Report Project Management Committee Meeting, Washington, D.C. April 2, 2004.
Governor’s Office of Emergency Services Disaster Mitigation Act of 2000 Changes to the Federal Hazard Mitigation Program.
Your Rights and Responsibilities In the Child Nutrition Programs
THE FORECLOSURE CRISIS BAY AREA CASE STUDY. Overview 2  Research Focus  Neighborhood Stabilization Program (NSP)  Bay Area Demographics  Foreclosures.
Census Basics UP206A: Introduction to GIS. History When was the first census? – 1790 How many people were counted? – 3.9 million How many states did we.
Knowledge for Equity Conference November 13, 2012 U.S. Department of Education Office of Special Education and Rehabilitative Services National Institute.
Wendy Blackwell, State Hazard Mitigation Officer New Mexico Infrastructure Finance Conference October 29, 2014.
Seniors in Bexar County and the City of San Antonio COSA/Bexar County Joint Commission on Elderly Affairs August 11, 2015 San Antonio,
The Elderly Population in Maryland Data from the 2000 Census and Projections MACo Summer Conference, August 14 th, 2003 Maryland Department of Planning.
The new HBS Chisinau, 26 October Outline 1.How the HBS changed 2.Assessment of data quality 3.Data comparability 4.Conclusions.
Civil Rights Your Rights and Responsibilities In the School Nutrition Programs.
Webinar April 19, 2011 HazMat Grant Program: HMEP Application Guidance Overview and Explanation of the Sample Application for the HMEP Grant Program for.
The American Community Survey Texas Transportation Planning Conference Dallas, Texas July 19, 2012.
Grassroots Arts Program Partnership between local arts councils and NC Arts Council. All 100 counties in NC receive Grassroots arts program funds. In.
Sampling. Concerns 1)Representativeness of the Sample: Does the sample accurately portray the population from which it is drawn 2)Time and Change: Was.
Liesl Eathington Iowa Community Indicators Program Iowa State University October 2014.
Coastal Bend and State Population % Distribution by Age Groups % Fewer in Working Age Source: US Census.
Kern Grant Summit - January 30, 2015
HAZARD MITIGATION 101 Sandusky County Initial Planning Meeting March 11, 2014.
Social Capital and Early Childhood Development Evidence from Rural India Wendy Janssens Washington, 20 May 2004.
Student versus Non-Student Data: (Census Special Tabulation #137) Selected Summary File 3 Data for Tompkins County, NY.
Oconee County Hazard Mitigation Plan Update Kickoff Meeting Brian Laughlin Hazard Mitigation Planner Georgia Emergency.
Identifying Vulnerable Populations to Hurricanes in the city of Tampa, Florida Dr. Jennifer Collins and Dustin Hinkel Department of Geography, The University.
A Quick Review of Development Landscape by DevInfo Across Different Regions Locally and Globally.
UP206A: Introduction to GIS. » When was the first census? ˃1790 » How many people were counted? ˃3.9 million » How many states did we have then? ˃13 original.
The Uninsured in Alameda County 2010 December 2010.
Health Data Initiative Forum III June 5, Our Mission ACF is responsible for federal programs that promote the economic and social well-being of.
Regional Grant Funding Coordination for Implementation of Watershed Management Plans Project Clean Water Summit July 15, 2004 David W. Gibson SDRWQCB
Building Disaster-Resilient Places STEP TWO – Understanding the Situation.
Linkages Program Mark Twain Mark Twain.
Action Plan Update July 8, Where We Are Community meetings Community Conditions Survey Results Invite Community Leaders Last Action Plan Define.
NCLB Federal Funding Planning Meeting Private Non Profit Schools LEA Date.
CHDP DIRECTOR/DEPUTY DIRECTOR TRAINING SECTION III EPSDT: A Comprehensive Child Health Program 1 7/1/2010.
Chapter Ten Basic Sampling Issues Chapter Ten. Chapter Ten Objectives To understand the concept of sampling. To learn the steps in developing a sampling.
Woodville, Mississippi Community Data Profile W. Base Data Source: U.S. Bureau of the Census, 2000 Population, Housing and Income Trends ESRI.
Coastal Bend and State Population % Distribution by Age Groups % Fewer in Working Age Source: US Census.
Census 2000 Supplementary Survey: An Operational Feasibility Test Nancy M. Gordon Associate Director for Demographic Programs U.S. Census Bureau July 2001.
Uganda Bureau of Statistics ¤ Plot 9 Colville Street, Kampala Uganda ¤ Website: Tel: +256(0) ¤ 1 Analysis.
Accessing Census Data through the American FactFinder Arthur Bakis Information Services Specialist Boston Regional Census Center US Census Bureau
Lessons Learned Inclusive Emergency Management November 20, 2013.
2010 PHC NATIONAL PUBLICITY COMMITTEE SENSITIZATION WORKSHOP SEPTEMBER BASIC CONCEPTS, COVERAGE.
What’s New with School Nutrition Tuesday, May 13.
Walton County Demographics 2006 Sources: Georgia Department of Revenue, Georgia Department of Labor, U.S. Census.
U.S. Hispanic Population: Population Size and Composition.
The Spatial Patterns Of Earthquake Casualties (Damages) And Social Vulnerability Zahra Golshani Natural Resource & Environmental Science University of.
Income Surveys 101 Madison County Community Development Frank Miles, MPA, Administrator.
FAQ Maternal, Infant & Early Childhood Home Visiting Programs.
Jo Carroll DeStefano Community Development & Training Network Public Works Department June-August 2011 City of Rowlett Public Works Department Proposed.
All-Hazard Mitigation Plan Update Susquehanna County Kick-Off Meeting April 28, 2016.
Emergency Preparedness. Proposed Emergency Preparedness Rules NFR/LMC §19.326(a) deleted and moved to § for Emergency Preparedness Rules Places.
MEGA Conference Mobile, AL July 12, 2016
The READI for Disasters Act
Planning Partner Adoption Multi-Jurisdictional Hazard Mitigation Plan
Presentation transcript:

Benefits and Costs of Mitigation Natural Hazards Workshop, 2004 Linda B. Bourque Southern California Injury Prevention Research Center, Center for Public Health and Disasters, School of Public Health University of California, Los Angeles

Sample Non-probability combining aspects of purposive and quota Quota Sampling Quota Sampling  “Hard” rules governing representation of variables & variable levels in chosen sample;  Ensures desired diversity.  Analogous to stratified sampling methods; Purposive Sampling: dependent on “expert” judgment. Purposive Sampling: dependent on “expert” judgment.

Sample Criteria for Selecting from NEMIS Received awards listed in NEMIS whose objective was to mitigate damage from earthquakes, flood, and/or wind; Received awards listed in NEMIS whose objective was to mitigate damage from earthquakes, flood, and/or wind; At high or medium risk of earthquakes, flood, and/or wind; At high or medium risk of earthquakes, flood, and/or wind; Single jurisdiction within a state with the legal title: city, town, borough, village or county; Single jurisdiction within a state with the legal title: city, town, borough, village or county; Both project and process (includes Project Impact) activities were funded; Both project and process (includes Project Impact) activities were funded; Received project and process awards totaling  $500,000; Received project and process awards totaling  $500,000; Received a total of  15 awards; Received a total of  15 awards; At least one mitigation award has been completed/closed ; At least one mitigation award has been completed/closed ; Population of at least 10,000. Population of at least 10,000.

Sample Applying Criteria to NEMIS Step 1—All grants in NEMIS data set of 8/6/03, (N=8,030). Step 1—All grants in NEMIS data set of 8/6/03, (N=8,030). Step 2—Valid perils: earthquake, wind, flood (n=7,047). Step 2—Valid perils: earthquake, wind, flood (n=7,047). Step 3—Valid project status: approved, awarded, closed, completed (n=7,047). Step 3—Valid project status: approved, awarded, closed, completed (n=7,047). Step 4—Eliminate territories (n=6,833). Step 4—Eliminate territories (n=6,833). Step 5—Eliminate invalid communities: statewide entities, special districts, non-profits (n=5,267). Step 5—Eliminate invalid communities: statewide entities, special districts, non-profits (n=5,267). Step 6—Rename like subgrantees (n=5,267). Step 6—Rename like subgrantees (n=5,267). Step 7—Aggregate on subgrant (n=2,660). Step 7—Aggregate on subgrant (n=2,660). Step 8—Flag Project Impact Communities in NEMIS (n=2,660; Project Impact: n=102). Step 8—Flag Project Impact Communities in NEMIS (n=2,660; Project Impact: n=102). Step 9—Apply eligibility criteria (n=113). Step 9—Apply eligibility criteria (n=113).

Sample Criteria Used to Select from the 113 communities The combination of hazards for which communities had received FEMA awards; The combination of hazards for which communities had received FEMA awards; Available hazard maps identified community at “high risk” of at least one hazard; Available hazard maps identified community at “high risk” of at least one hazard; Community identified as small (10,000-49,999), medium (50, ,999), or large (  500,000); and Community identified as small (10,000-49,999), medium (50, ,999), or large (  500,000); and FEMA region. FEMA region.

Distribution of Communities by FEMA Awards and Quota Limits Set (N = 113) Awards Received PopulationNPopulation% Sample Limits for Category Earthquake Only  2 2 2 2 Flood Only  4 4 4 4 Wind Only 87.1  2 2 2 2 Flood and Earthquake 43.5  1 1 1 1 Flood and Wind  4 4 4 4 Flood, Quake and Wind 32.7  1 1 1 1

Distribution of Communities and Quota Limits Set for Being at High Risk of Earthquake, Flood or Wind Hazard (N = 113) 1 Hazard(s) for Which Community is at High Risk Population N % Sample Limits for Category Earthquake ~ 4 Flood ~ 7 Wind ~ 4 1 Adds to more than 113 because some some communities are at high risk of two or three hazards.

Distribution of Communities and Quota Limits Set by Population Size (N = 113) Community Size Population N % Sample Limits for Criteria Set 1 Set 2 Set 3 Small (10, ,999) Medium (50, ,999) Large (  500,000 )

Distribution of Communities and Quotas Set by FEMA Region (N = 113) FEMA Region Population Sample Limits for Criteria N% Region I 76.2 1111 Region II 43.5 1111 Region III 2222 Region IV 4444 Region V 87.1 2222 Region VI 2222 Region VII 76.2 1111 Region VIII 76.2 1111 Region IX 3333 Region X 98.0 2222

Hazard Characteristics of Ten Selected CommunitiesCommunity FEMA Awards Size Considered at High Risk of: FEMA Region 1 Flood & Wind Small II 2 LargeFloodIV 3 Flood, Wind, & Quake Medium IV 4 Flood & Wind SmallFloodIV 5 MediumFloodV 6FloodSmallWindVI 7FloodSmallFloodVIII 8QuakeMediumQuakeIX 9QuakeMediumQuakeIX 10FloodLargeFloodX

Demographic Characteristics of Two Selected Communities:CommunityPopulationNon-WhiteHousehold With Child < 18 yrs Household With Member > 64 years Female- Headed Household w/child <18 Median Age A102, #1140, B399, #2128, C108, Source: Census 2000 Summary File, DP-1. Profile of General Demographic Characteristics: 2000.

Demographic Characteristics of Two Selected Communities: continuedCommunity Vacant Units Renter Occupied In Labor Force Median Family Income Per Capita Income Families Below Poverty Level, 1999 A ,43430, # ,71219, B ,38421, # ,57324, C ,45623, Source: Census 2000 Summary File, DP-3. Profile of Selected Economic Characteristics: 2000.

Demographic Characteristics of 10 Communities CommunityPopulation Median Age Non- White Female- Headed House. Child <18 House. With Child <18 HH with Person > 64 Vacant Units 143, , , , , , , , , ,

Demographic Characteristics of 10 Communities, continued Community Renter Occupied In Labor Force  16  16 Median Family Income Per Capita Income Families Below Poverty Level, ,67321, ,95720, ,67619, ,79121, ,72917, ,04326, ,24516, ,71219, ,57324, ,11622,6068.2

Protocol Followed in Setting Up Interviews Conference Call FEMA Letter Confirmation of Letter Regional Office Visit Contact Community Confirm FEMA Awards Coordination with Region Preliminary Research Telephone Interviews Community Visits and Economic Analyses Description of Spin-offs List of Participants and Interviews Data Files

Protocol Followed in Setting Up Interviews Confirmation that FEMA Letter Received, Given OK to Proceed Send Introduction Letter to Primary Contact ( , Fax, Mail) Telephone Primary Contact: Describe Study, Get Referrals, Schedule Interview Send Introduction Letter to Referrals ( , Fax, Mail) Telephone Referrals: Schedule Interviews, Get Referrals Conduct Interviews Send Thank You Letters to Participants

FEMA Contact #1 REFUSED Contact #4 1 INTERVIEWED Contact #2, Originally agreed Then REFUSED Referred back to #1 Contact #3 INTERVIEWED Contact #5 REFUSED Contact #6 INTERVIEWED Contact #8 REFUSED Contact #11 INTERVIEWED Contact #7 REFUSED Contact #10 REFUSED Contact #9 INTERVIEWED 1 Index Informant 2 Independent Network Contact #12 INTERVIEWED 2 Contact #13 INTERVIEWED 2 Example Flow Chart of Interview Network