Mary Buchanan, Project Manager New Haven, Connecticut DATAHAVEN Data for Community Action Income Inequality and Change in Connecticut’s.

Slides:



Advertisements
Similar presentations
KI 2: Where are people distributed within urban areas?
Advertisements

Section 6: Uninsurance and the Safety Net Statewide measures of uninsurance Specific population groups Age, income, race/ethnicity, country of birth, region.
REACH Healthcare Foundation Prepared by Mid-America Regional Council 2013 Kansas City Regional Health Assessment.
 Why? What? How?  What is poverty?  Findings  Major conclusions  How did we get here  What’s next.
East Portland Demographics:2010 Uma Krishnan Demographer.
Distributing the Benefits and Burdens of Growth: Metropolitan Equity in the Portland Region.
Indianapolis-Carmel MSA
Larry Rosenthal, UC Berkeley Census 2000: Lessons Learned Where Will the Poor Live? Housing Policy and the Location of Low-Income Households.
© 2013 Empire Justice Center How Detailed Data Analysis Reveals the True Face of Suburban Poverty PART 3 September 26, 2013 Presented by: Michael L. Hanley.
EBDI Project Area Community Profile 2000 to 2010 Sources: Census 2000, Census 2010, American Community Survey (ACS) year estimates. *Note:
Segregation and Concentration of Poverty: The Role of Suburban Sprawl Paul A. Jargowsky University of Texas at Dallas and Centre de Sciences Humaines.
Suburban Food Deserts: Islands of Food Insecurity in Seas of Affluence A Case Study of Butler County, Ohio 2010 Ohio GIS Conference September 15-17, 2010.
Which factors make a difference when identifying pockets of under-immunization? Gayle Moxness Hennepin County Community Health Department Minneapolis,
Stunning Progress, Hidden Problems: The Dramatic Decline of Concentrated Poverty in the 1990s Paul A. Jargowsky University of Texas at Dallas May 19, 2003.
Food and Agribusiness Institute Mapping Hunger Vulnerability & Food Assistance Provision: An Application of a Geographical Information System (GIS) Gregory.
Earning Inequality and Spatial Mismatch in Texas Shujuan Li Geog 406 Instructor: Dr. Bednarz.
Metropolitan Transportation Plan/ Sustainable Communities Strategy MTP—Regional transportation plan developed every four years. SCS—New SB 375 requirement.
Changing Demographics in Texas
The Changing Demographics of Missouri Seniors Developed by Dr. Daryl J. Hobbs & Bill Elder Presented by Dr. Bill Elder Interdisciplinary Geriatric Assessment.
(c) Allen C. Goodman, 2006 Poverty O’S Chapter 14.
Exam 1 results Mean: 71.5 Range: Mean (4.0): 3.3 Range (4.0): To convert your score: (Raw Score/85)*4.
Who is ProvPlan? Mission to promote the economic and social well-being of the city, its people, and its neighborhoods. 501(c)3 non-profit created in 1992.
Racial and Economic Segregation in Schools: Barrier to Quality and Equality in Education Baris Gumus-Dawes.
Housing Counts: A look at Homelessness among People with HIV in Connecticut Eileen McCarthy Connecticut AIDS Residence Coalition May 2004.
The Economic Challenges Facing Milwaukee’s Inner City Statistical Snapshots UWM Center for Economic Development.
ROBERT CHARLES LESSER & CO., LLC Demographic Changes Driving New Residential Development
Advancing equity through Thrive MSP 2040 Equity: The Superior Growth Model.
Urban Government Urban Crisis 5. Overview Effects of Urban/Surburban Divide Metropolitan Government and Regionalization.
U nited S ervices C ommunity A ction A gency The Face of Poverty.
Literacy and Poverty in Greater Cleveland
Reynolds Farley The University of Michigan Population Studies Center Institute for Social Research 426 Thompson Ann Arbor, Michigan August 1,
Childhood Poverty and Lifelong Opportunity October 22,
Race and Calhoun County: What Does the Data Say? Calhoun County Summit on the Healing of Racism September 22 nd 2006 Jason Reece, AICP Senior Research.
Weaving a story of poverty in Multnomah County. Per capita income, Portland MSA, US Metro, Multnomah County, Source: Regional Economic Information.
Chapter 2 Poverty and Wealth. Economic Inequality in the United States Social Stratification – system of ranking people in a hierarchy Social Classes.
Help Me Grow: 2007 Annual Evaluation ReportSummary Marcia Hughes, Ph.D. Meredith Damboise, M.A. Center for Social Research University of Hartford Presented.
1 The High Cost of Segregation Exploring Racial Disparities in High Cost Lending Vicki Been, Ingrid Ellen, Josiah Madar, Johanna Lacoe Urban Affairs Association.
WHY SEGREGATION?. Patterns of Segregation in Los Angeles Income Segregation –Map of median income –Map with % earning over 100,000 –Map with % earning.
Health and Welfare Building Harrisburg, PA (717)
American Community Survey “It Don’t Come Easy”, Ringo Starr Jane Traynham Maryland State Data Center March 15, 2011.
At Home in the Nation’s Capital: Immigrant Trends in Metropolitan Washington Center on Urban and Metropolitan Policy Brookings Greater Washington Research.
At Home in the Nation’s Capital: Immigrant Trends in Metropolitan Washington Center on Urban and Metropolitan Policy Brookings Greater Washington Research.
November 10, 2015 Ann Johnson Director, ACT Rochester.
Chicago Crime Data Project (CCDP) John Mounce & Billy Joe Mills Typical Chicago Criminal.
+ ECFRPC Sustainable Communities FHEA and Initial Sunrail Station Area Analysis James Carras Carras Community Investment Inc. September 20, 2013.
Greene County Community Health Needs Assessment Sociodemographic Indicators.
Rensselaer County Community Health Needs Assessment Sociodemographic Indicators.
Mission Statement “One Voice” unites Fresno County communities and regional interests in a voluntary and collaborative effort to seek federal and state.
Albany County Community Health Needs Assessment Sociodemographic Indicators.
What is poverty? Alyssa Vitztum. The state of being extremely poor.
Schenectady County Community Health Needs Assessment Sociodemographic Indicators.
1 The Economic Outlook for Connecticut Rae D. Rosen Senior Economist and Public Information Officer Federal Reserve Bank of New York January 21, 2004.
Re-presenting the City: Arts, Culture, and Diversity in Philadelphia
Columbia County Community Health Needs Assessment Sociodemographic Indicators.
The Status of Young Children in Wayne County The Status of Young Children in Wayne County A 2010 Update from Great Start Collaborative - Wayne Presented.
King County’s Changing Demographics Investigating Our Increasing Diversity Chandler Felt, Demographer King County Office of Performance, Strategy and Budget.
San Jose Demographic Findings and Trends, Census 2010 Michael Bills, Senior Planner City of San Jose.
Testimony to the the Legislative Task Force on School Finance July 31, 2012 Myron Orfield Director Institute on Metropolitan Opportunity University of.
SAN FERNANDO VALLEY CENSUS COUNTY DIVISION AND I-5 CORRIDOR DEMOGRAPHICS San Fernando Valley Economic Research Center Daniel Blake, Director California.
25 Years of Data for Community Action Mark Abraham Executive Director, DataHaven Fellow, W.K. Kellogg Foundation Neighborhood.
PBAF/URBDP 560. Today  Discussion Questions  Poverty?  What is poverty?  What are the trends in the spatial location of poverty in metropolitan regions?
Rural Health in an Era of Health Reform
College Student and Non-College Student Poverty in San Marcos, Texas
Sexually Transmitted Disease (STD) Surveillance Report, 2016
Chapter 13: Urban Patterns
Current conditions.
Chartbook Section 6 Uninsurance and the Safety Net.
Unit 3 Economic Challenges
Changing Demographics, Changing Times
Washington County: The Challenge Ahead
Presentation transcript:

Mary Buchanan, Project Manager New Haven, Connecticut DATAHAVEN Data for Community Action Income Inequality and Change in Connecticut’s neighborhoods: Brought to you by DataHaven and NCDB

Neighborhood Segregation – Summary High number of neighborhoods that are both economically segregated areas AND racially segregated 2x more affluent & segregated neighborhoods than poor & segregated neighborhoods in CT Racially and economically segregated neighborhoods more highly concentrated in CT than in most other large metro areas DATAHAVEN Data for Community Action

Neighborhood Segregation - Methodology Census tracts defined as: Racially Concentrated Area of Affluence (RCAA) – 90% or more of population is white – Median household income is at least 4 times federal poverty line (FPL) (adjusted for cost of living) Racially Concentrated Area of Poverty (RCAP): – Less than 50% of population is white – 40% or more of population has a household income below FPL Near-Racially Concentrated Area of Poverty (Near RCAP): – Less than 50% of population is white – 20% or more of population has a household income below FPL Based on methodology from University of MinnesotaUniversity of Minnesota DATAHAVEN Data for Community Action

Neighborhood Segregation – Findings 13% of CT population lives in segregated neighborhood – 3% poor, majority non-white vs. 10% wealthy, majority white Affluent, white neighborhood household income = $120,008/yr ~ 5.5x more than poor, non-white neighborhood income ~1.75x more than state average DATAHAVEN Data for Community Action

Neighborhood Segregation – Findings DATAHAVEN Data for Community Action RCAPs in urban centers RCAAs in peripheral suburban towns Rural areas devoid of segregated areas RCAAs and RCAPs rarely border each other Fairfield County 7x more wealthy neighborhoods than poor ones

Neighborhood Segregation – Findings 13% of CT population in segregated areas vs. 6% national metro sample Fairfield Co. & Hartford have highest shares of population in rich, white neighborhoods – 17% and 13% respectively Hartford & New Haven have relatively high shares of population in poor, non- white neighborhoods – 5% and 5% respectively DATAHAVEN Data for Community Action

Neighborhood Segregation – Findings Higher concentration of households earning at least $200,000/yr in CT than in other metros 27% of top-earning households in CT live in neighborhoods that are wealthy and majority white – Compared to 10% in national metro sample Highest concentration of wealthy households in RCAAs in Fairfield County and Hartford DATAHAVEN Data for Community Action

Neighborhood Segregation – Findings Some CT cities have high shares of poor people also living in concentrated poverty neighborhoods (“Double Jeopardy”) In CT, 15% of people in poverty live in neighborhoods that are poor and racially segregated – Compared to 12% in national metro sample High concentration of poor in RCAPs in Hartford and New Haven DATAHAVEN Data for Community Action

Neighborhood Segregation - Presentation and Coverage Interactive map of neighborhoods on CartoDB CartoDB CT Mirror: Connecticut has more concentrated poverty (and wealth) than most metros CT Mirror New Haven Register: Data show Connecticut remains segregated, but work being done to lessen it New Haven Register DATAHAVEN Data for Community Action

Neighborhood Income Change - Summary From 1980 to 2013 – The share of CT residents living in middle-income neighborhoods decreased – The share of CT residents living in areas of concentrated wealth or poverty grew By 2013, of CT residents, 25% lived in “extreme-income” neighborhoods – Very Affluent, Concentrated Poverty DATAHAVEN Data for Community Action

Neighborhood Income Change - Methodology Census Tracts categorized by population in poverty and average family income – Very Affluent neighborhood: average family income (AFI) for census tract is at least 1.5x state average – Concentrated Poverty: at least 20% of population lives in poverty – Near State Average: AFI is between 0.8 and 1.25x state average Neighborhood Change Database provided data for 1980, 1990, 2000 ACS provided data for 2013 DATAHAVEN Data for Community Action

Neighborhood Income Change - Findings From 1980 to 2013, a 28% decrease in percent of CT residents living in neighborhoods with income near state average – 56% of all residents in 1980 vs. 40% in 2013 A 30% increase in percent of CT residents living in neighborhoods with extreme income – 19% of all residents in 1980 vs. 25% in 2013 DATAHAVEN Data for Community Action

Neighborhood Income Change - Findings Extreme-income neighborhood change, 1980 to % increase in percent of CT residents living in very affluent neighborhoods – 7% of all residents in 1980 vs. 10% in % increase in percent of CT residents living in concentrated poverty neighborhoods – 12% of all residents in 1980 vs. 15% in 2013 A 66% increase in percent of poor CT residents living in concentrated poverty neighborhoods – 3% of all residents in 1980 vs. 4% in 2013 DATAHAVEN Data for Community Action

Neighborhood Income Change - Findings Urban and Suburban areas impacted by change – Growth of very affluent neighborhoods in Fairfield County and other peripheral suburban areas – Growth of concentrated poverty in cities and inner suburbs Neighborhood income in “rural” areas stable from DATAHAVEN Data for Community Action

Neighborhood Income Change - Presentation and Coverage CT Mirror: In last 35 years, a significant drop in middle-income neighborhoods CT Mirror Interactive map of neighborhoods created by CT Mirror Interactive regional comparison created by CT Mirror DATAHAVEN Data for Community Action

Neighborhood Income Follow-ups Potential extensions of these analyses include: Characteristics of “Rebounding neighborhoods” In depth regional analyses for community assessment reports Community Index – Greater New Haven and Lower Naugatuck Valley regions Other suggestions ? Questions ? Contact Mary at DATAHAVEN Data for Community Action